2024 |
Szczerbicki E, Nguyen NT, 'Society 4.0: Issues, Challenges, Approaches, and Enabling Technologies', CYBERNETICS AND SYSTEMS, 55 615-617 (2024)
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2024 |
Wang M, Lai Y, Li M, Zhang H, Szczerbicki E, 'Toward Human Chromosome Knowledge Engine', Cybernetics and Systems, 55 730-737 (2024) [C1]
Human chromosomes carry genetic information about our life. Chromosome classification is crucial for karyotype analysis. Existing chromosome classification methods do not take int... [more]
Human chromosomes carry genetic information about our life. Chromosome classification is crucial for karyotype analysis. Existing chromosome classification methods do not take into account reasoning, such as: analyzing the relationship between variables, modeling uncertainty, and performing causal reasoning. In this paper, we introduce a knowledge engine for reasoning-based human chromosome classification that stores knowledge of chromosomes via a novel representation structure, the Chromosome Part Description (CPD), and reasons over CPDs by utilizing the probability tree model (PTM) for classification. Each CPD keeps information on a particular feature of chromosomes, while the PTM provides causal reasoning capability taking CPDs as nodes and dependencies between CPDs and types as edges. Experimental results show that the proposed knowledge engine¿s performance increases when providing more CPDs and achieves 100% classification accuracy with more than three CPDs.
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2024 |
Shafiq SI, Sanin C, Szczerbicki E, 'Decisional-DNA-Based Digital Twin Implementation Architecture for Virtual Engineering Objects', Cybernetics and Systems, 55 719-729 (2024) [C1]
Digital twin (DT) is an enabling technology that integrates cyber and physical spaces. It is well-fitted for manufacturing setup since it can support digitalized assets and data a... [more]
Digital twin (DT) is an enabling technology that integrates cyber and physical spaces. It is well-fitted for manufacturing setup since it can support digitalized assets and data analytics for product and process control. Conventional manufacturing setups are still widely used all around the world for the fabrication of large-scale production. This article proposes a general DT implementation architecture for engineering objects/artifacts used in conventional manufacturing. It will empower manufacturers to leverage DT for real-time decision-making, control, and prediction for efficient production. An application scenario of Decisional-DNA based anomaly detection for conventional manufacturing tools is demonstrated as a case study to explain the architecture.
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2024 |
Zhou R, Yu L, Chen D, Zhang H, Szczerbicki E, 'KEMR-Net: A Knowledge-Enhanced Mask Refinement Network for Chromosome Instance Segmentation', Cybernetics and Systems, 55 708-718 (2024) [C1]
This article proposes a mask refinement method for chromosome instance segmentation. The proposed method exploits the knowledge representation capability of Neural Knowledge DNA (... [more]
This article proposes a mask refinement method for chromosome instance segmentation. The proposed method exploits the knowledge representation capability of Neural Knowledge DNA (NK-DNA) to capture the semantics of the chromosome¿s shape, texture, and key points, and then it uses the captured knowledge to improve the accuracy and smoothness of the masks. We validate the method¿s effectiveness on our latest high-resolution chromosome image dataset. The experimental results show that our proposed method¿s mask average precision (MaskAP) is 3.66% higher than Mask R-CNN and outperforms advanced Cascade Mask R-CNN by 1.35%.
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2024 |
Xu Y, Ding Z, Shi L, Wang J, Yu L, Zhang H, Szczerbicki E, 'Smart Karyotyping Image Selection Based on Commonsense Knowledge Reasoning', Cybernetics and Systems, 55 668-677 (2024) [C1]
Karyotyping requires chromosome instances to be segmented and classified from the metaphase images. One of the difficulties in chromosome segmentation is that the chromosomes are ... [more]
Karyotyping requires chromosome instances to be segmented and classified from the metaphase images. One of the difficulties in chromosome segmentation is that the chromosomes are randomly positioned in the image, and there is a great chance for chromosomes to be touched or overlap with others. It is always much easier for operators and automatic programs to tackle images without overlapping chromosomes than ones with largely overlapped chromosomes. In order to reduce the processing difficulty, adding a smart image selection procedure ahead of segmentation is practical and necessary. In this paper, we introduce the Smart Karyotyping Image Selection (SKIS) based on Commonsense Knowledge Reasoning. The initial experiment demonstrates that the proposed approach can select the expected images based on reasoning and benefit following karyotyping processes.
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2023 |
Liu T, Peng Y, Chen R, Lai Y, Zhang H, Szczerbicki E, 'Learning Disentangled Representation for Chromosome Straightening', Cybernetics and Systems, (2023) [C1]
Chromosome straightening plays an important role in karyotype analysis. Common straightening methods usually adopt geometric algorithms, which tend to affect the chromosome bandin... [more]
Chromosome straightening plays an important role in karyotype analysis. Common straightening methods usually adopt geometric algorithms, which tend to affect the chromosome banding patterns in the process of straightening, resulting in feature changes, loss of details, and poor generalization. To solve these problems, this paper proposes a novel straightening method based on disentanglement representation learning. Our method consists of two main components: the Disentanglement Representation Encoder (DRE) and the Straightening Generator (SG), where DRE discovers and disentangles the bent representation and the content representation in the latent space, while SG is used to generate the straightened chromosome images based on the disentangled representations. Leveraging the bent representation and the content representation disentangled by DRE, our method produces the straightened representation by reducing the bent representation while keeping the content representation unchanged, making straightening chromosome without changing its banding patterns possible. Evaluation results on both the Frechet Initiation Distance (FID) and the Downstream Classification Accuracy (DCA) metrics show that our method achieves good performance.
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2023 |
Yu L, Zhang X, Zhong Z, Lai Y, Zhang H, Szczerbicki E, 'Adaptive2Former: Enhancing Chromosome Instance Segmentation with Adaptive Query Decoder', Cybernetics and Systems, (2023) [C1]
Chromosome instance segmentation plays a crucial role in chromosomal karyotype analysis. However, the overlapping of chromosome instances and their individual morphological differ... [more]
Chromosome instance segmentation plays a crucial role in chromosomal karyotype analysis. However, the overlapping of chromosome instances and their individual morphological differences make accurate chromosome instance segmentation a challenging task. Especially in handling overlapping chromosome instances, traditional segmentation methods tend to confuse instances with one another. To solve these problems, this paper proposes an innovative method named Adaptive2Former. It builds upon our novel devised Adaptive Query Decoder (AQD) module to enhance segmentation precision. The AQD effectively utilizes the (Formula presented.) token from the backbone network to dynamically generate adaptive query vectors instead of using fixed queries. This new design leverages the semantic information inside the input images, producing representations more conducive to subsequent segmentation module, thereby improving the model¿s segmentation performance. Experiments conducted on our dataset demonstrate that the proposed Adaptive2Former significantly enhances the performance of chromosome instance segmentation compared to Mask2Former and other existing models, achieving results of 97.65% mAP75 and 0.21 Dice Loss.
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2023 |
Fathima A, Khan A, Uddin MF, Waris MM, Ahmad S, Sanin C, Szczerbicki E, 'Performance Evaluation and Comparative Analysis of Machine Learning Models on the UNSW-NB15 Dataset: A Contemporary Approach to Cyber Threat Detection', Cybernetics and Systems, (2023) [C1]
This research work utilizes the University of New South Wales Network Based 2015 (UNSW-NB15) dataset to investigate the dynamic nature of cyber threats, departing from the obsolet... [more]
This research work utilizes the University of New South Wales Network Based 2015 (UNSW-NB15) dataset to investigate the dynamic nature of cyber threats, departing from the obsolete Knowledge Discovery and Data Mining competition 1999 (KDD Cup99) dataset. The data preparation pipeline consists of essential procedures aimed at ensuring the integrity and appropriateness of the data for analysis. The method begins by removing null values, thereafter, applying one-hot encoding to categorical features, min-max scaling for data normalization, and label encoding for efficient management of binary labels. The process of feature selection is conducted utilizing the Pearson coefficient correlation. An exhaustive evaluation is conducted on six machine learning models for the purpose of binary classification. The evaluation takes into account key performance measures like accuracy, precision, recall, and F1 score. The Random Forest model demonstrated exceptional performance, with a remarkable accuracy of 99% and a robust F1 score of 98%. Additionally, it exhibited a well-balanced precision and recall at 98%. The Support Vector Machine, Gradient Boosting, Logistic Regression, Decision Tree, and K-Nearest Neighbors models exhibit notable performance, achieving accuracy and F1 scores around at the 98% level. During our investigation into multi-class classification research, we thoroughly examined numerous machine learning models, all of which exhibited robust performance, with accuracy rates ranging from 97% to 98%. The aforementioned results highlight the efficacy of these models in accurately classifying data, regularly achieving high levels of precision, recall, and F1 scores for positive case predictions. This study offers a current viewpoint on the identification of cyber threats and emphasizes the appropriateness of several machine learning models in this rapidly changing field.
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2023 |
Pokhrel K, Sanin C, Sakib MKH, Islam MR, Szczerbicki E, 'Improved Skin Disease Classification with Mask R-CNN and Augmented Dataset', Cybernetics and Systems, (2023) [C1]
Skin diseases are a significant global health concern, impacting millions worldwide. Severe diseases like psoriasis and dermatitis can coexist with more benign skin issues like ac... [more]
Skin diseases are a significant global health concern, impacting millions worldwide. Severe diseases like psoriasis and dermatitis can coexist with more benign skin issues like acne and eczema. Primary care physicians in tropical areas often treat patients with skin issues in locations where onchocerciasis and tinea imbricate are prominent, such infections might even take center stage. Usually, skin illnesses are disregarded medically and considered cosmetic, but they can have serious psychosocial effects, especially at an early age, and very few global studies have attempted to quantify the frequency of skin diseases. Nevertheless, the ability to make an accurate diagnosis at an early stage is crucial for successful treatment of complex diseases. However, Skin disease identification is a complex process. We introduce a state-of-the-art approach that uses Mask R-CNN in conjunction with an augmented dataset from the HAM10000 from the Harvard University Open Data Repository to achieve close to 80% accuracy in skin disease classification. We provide an in-depth analysis of our approach, covering data preprocessing, model architecture, training, and evaluation, along with detailed tables presenting training and testing results and associated hyperparameters.
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2023 |
Shi L, Zhou Y, Wang J, Wang Z, Chen D, Zhao H, et al., 'Compact global association based adaptive routing framework for personnel behavior understanding', Future Generation Computer Systems, 141 514-525 (2023) [C1]
Personnel behavior understanding under complex scenarios is a challenging task for computer vision. This paper proposes a novel Compact model, which we refer to as CGARPN that inc... [more]
Personnel behavior understanding under complex scenarios is a challenging task for computer vision. This paper proposes a novel Compact model, which we refer to as CGARPN that incorporates with Global Association relevance and Adaptive Routing Pose estimation Network. Our framework firstly introduces CGAN backbone to facilitate the feature representation by compressing the kernel parameter space compared with typical algorithms, effectively lowering the calculation capacity and consumption. The framework integrates the Global Association information between keypoints, and learns the correlation between high-dimensional feature parameters. ARPN introduced by our structure is established to sufficiently excavate the resembling properties of outcome concealed in the network, adaptively achieving remarkable performance by selecting compatible paths for optimization. Meanwhile, Parametric Content Similarity NMS (PCSNMS) is developed where detailed information on proposal boxes is associated. Comparative experiments (datasets on FLIC, MPII, etc.) with CNN-based counterparts have empirically demonstrated the effectiveness and competitiveness of the model in perspective of accuracy, memory consumption, and computation perplexity. Our model contributes to an efficient and feasible framework of human behavior apprehension.
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2023 |
Szczerbicki E, Nguyen NT, 'Applied Machine Learning, Data Science, and Generative AI with Exploratory and Descriptive Case Studies in Varied Domains', CYBERNETICS AND SYSTEMS,
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2022 |
Silva de Oliveira C, Sanin C, Szczerbicki E, 'Smart Knowledge Engineering for Cognitive Systems: A Brief Overview', CYBERNETICS AND SYSTEMS, 53 384-402 (2022) [C1]
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Nova |
2022 |
Shafiq SI, Sanin C, Szczerbicki E, 'Decisional DNA (DDNA) Based Machine Monitoring and Total Productive Maintenance in Industry 4.0 Framework', CYBERNETICS AND SYSTEMS, 53 510-519 (2022) [C1]
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Nova |
2022 |
Ahmed MB, Sanin C, Szczerbicki E, 'Smart Virtual Product Development: Manufacturing Capability Analysis and Process Planning Module', CYBERNETICS AND SYSTEMS, 53 468-481 (2022) [C1]
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Nova |
2022 |
Li G, Xu Y, Zhang H, Szczerbicki E, 'Towards Knowledge Sharing Oriented Adaptive Control', Cybernetics and Systems, 53 520-528 (2022) [C1]
In this paper, we propose a knowledge sharing oriented approach to enable a robot to reuse other robots' knowledge by adapting itself to the inverse dynamics model of the kno... [more]
In this paper, we propose a knowledge sharing oriented approach to enable a robot to reuse other robots' knowledge by adapting itself to the inverse dynamics model of the knowledge-sharing robot. The purpose of this work is to remove the heavy fine-tuning procedure required before using a new robot for a task via reusing other robots' knowledge. We use the Neural Knowledge DNA (NK-DNA) to help robots gain empirical knowledge and introduce a Knowledge Adaption Module (KAM) utilizing the deep neural networks (DNN) for knowledge reuse. The initial experiment shows that the target robot can adapt to the inverse dynamic model of the source robot via our KAM and reuse the knowledge shared by the source robot.
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2022 |
Xiao J, Liu T, Zhang H, Szczerbicki E, 'Adding Interpretability to Neural Knowledge DNA', Cybernetics and Systems, 53 500-509 (2022) [C1]
This paper proposes a novel approach that adds the interpretability to Neural Knowledge DNA (NK-DNA) via generating a decision tree. The NK-DNA is a promising knowledge representa... [more]
This paper proposes a novel approach that adds the interpretability to Neural Knowledge DNA (NK-DNA) via generating a decision tree. The NK-DNA is a promising knowledge representation approach for acquiring, storing, sharing, and reusing knowledge among machines and computing systems. We introduce the decision tree-based generative method for knowledge extraction and representation to make the NK-DNA more explainable. We examine our approach through an initial case study. The experiment results show that the proposed method can transform the implicit knowledge stored in the NK-DNA into explicitly represented decision trees bringing fair interpretability to neural network-based intelligent systems.
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2022 |
de Castro RO, Sanin C, Levula A, Szczerbicki E, 'The Development of a Conceptual Framework for Knowledge Sharing in Agile IT Projects', Cybernetics and Systems, 53 529-540 (2022) [C1]
Organizations must adapt their resources to meet the challenges associated with changes in the work environment in order to remain competitive in the information era. Several rese... [more]
Organizations must adapt their resources to meet the challenges associated with changes in the work environment in order to remain competitive in the information era. Several research findings identify knowledge sharing as a means for an organization to improve its competitiveness. Knowledge sharing can be defined in a variety of ways, but it essentially refers to the exchange of knowledge from an information giver to an information receiver. This is a purposeful activity that adds value to the client organization, particularly in IT system that employs Agile methodology. For the scope of this paper, we are going to consider only Agile knowledge transfer in IT projects that occurs in two angles: business knowledge transfers from client to consultant; and IT technical knowledge transfers from consultant to client. However, when interdisciplinary teams are involved in Agile IT projects, the knowledge transfer mentioned before remains inefficient once the knowledge loss persists throughout the project life cycle. The conversion of conceptual knowledge, which only exists in the brains and minds of individuals, into explicit knowledge is essential for organizations to gain and maintain competitive advantages over its competitor. This study proposes an alternative conceptual framework to address conceptual knowledge transfer in IT projects that use Agile methodology.
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2022 |
Wang J, Shi L, Zhao Y, Zhang H, Szczerbicki E, 'Adversarial attack algorithm for traffic sign recognition', Multimedia Tools and Applications, (2022) [C1]
Deep learning suffers from the threat of adversarial attacks, and its defense methods have become a research hotspot. In all applications of deep learning, intelligent driving is ... [more]
Deep learning suffers from the threat of adversarial attacks, and its defense methods have become a research hotspot. In all applications of deep learning, intelligent driving is an important and promising one, facing serious threat of adversarial attack in the meanwhile. To address the adversarial attack, this paper takes the traffic sign recognition as a typical object, for it is the core function of intelligent driving. Considering that the black box attack does not need to know the internal characteristics of the model, it can have more practical value. However, the existing black box attack algorithm has high visit time and low efficiency in attacking sample generation. In this regard, the SimBA algorithm with high efficiency is selected and improved according to the characteristics of traffic signs, named the L-SimBA algorithm. According to the graphic characteristics of traffic signs that are already known, L-SimBA algorithm limits the search subspace consciously and specifies the set of search directions, and that is the core idea of it. By this way, L-SimBA algorithm can generate adversarial samples faster. Experimental comparison shows that in the field of traffic sign recognition, L-SimBA algorithm is better than SimBA algorithm. On the premise of obtaining similar quality adversarial attack samples, the success rate of adversarial measures gets higher, and the number of model visits reduces considerably, thus the attack efficiency of the algorithm improves greatly.
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2021 |
de Castro RO, Sanin C, Szczerbicki E, Levula A, 'Where Did Knowledge Management Go?: A Comprehensive Survey', Cybernetics and Systems, 52 461-476 (2021) [C1]
Knowledge Management (KM) research outputs have been expanding exponentially in the past years, generating diversified topics, which lack integration and classification. It has be... [more]
Knowledge Management (KM) research outputs have been expanding exponentially in the past years, generating diversified topics, which lack integration and classification. It has been challenging for experts to classify KM because of its versatile open fields, and in our view, it contributes to the technocratic approach remaining behind the organizational approach. This paper highlights a way to classify KM publications through a pattern that will support technocratic developments representing knowledge in a more explicit form. This study uses a classification method that uses a template in a taxonomy shape, executing some procedures and allowing an accurate identification and organization of KM research outputs. The proposed taxonomy method is proven on a set of 150 different KM publications from the last 15years. This scheme is grouped into two main categories: Conceptual and Empirical which could enable academics and practitioners alike to better understand the current gaps that are prevalent in KM.
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2021 |
Bakhtari AR, Waris MM, Sanin C, Szczerbicki E, 'Evaluating Industry 4.0 Implementation Challenges Using Interpretive Structural Modeling and Fuzzy Analytic Hierarchy Process', Cybernetics and Systems, 52 350-378 (2021) [C1]
The fourth industrial revolution known as Industry 4.0 is reshaping and evolving the way industries produce products and individuals live and work therefore, gaining massive attra... [more]
The fourth industrial revolution known as Industry 4.0 is reshaping and evolving the way industries produce products and individuals live and work therefore, gaining massive attraction from academia, business, and politics. The manufacturing industries are optimistic regarding the opportunities that Industry 4.0 may offer such as improved efficiency, productivity and customization. The present research contributes to the Industry 4.0 literature by identifying, modeling, analyzing, and prioritizing the challenges in implementing Industry 4.0 in manufacturing industries. In doing so, the article first introduces the interpretive structural modeling (ISM) to develop the hierarchical relationships among the challenges and analyzes their mutual interactions. Further, ¿Matrice d¿Impacts Croises Multiplication Appliquee aun Classement¿ (MICMAC) analysis is used to categorize the challenges into four categories, namely autonomous, driver, dependent, and linkage based on their driving power and dependence power. Moreover, fuzzy analytic hierarchy process (F-AHP) methodology is used to prioritize the challenges based on three criteria: driving power, dependence power, and change management. The hierarchical model developed through ISM methodology shows that ¿lack of vision and leadership from top management (C12), lack of skills training program and education (C2), and uncertainty of return on investment (C9)¿ are the major challenges in implementing Industry 4.0 in manufacturing industries. The findings of F-AHP analysis suggest that ¿lack of vision and leadership from top management (C12), lack of skilled workforce (C3), lack of skills training program and education (C2), and uncertainty of return on investment (C9)¿ are some of the major challenges of implementing Industry 4.0. Finally, the obtained results show how challenges affect other so that to uncover the root cause triggering the other challenges. The industrial practitioners and managers can then take advantage of these analyses to know which challenge acts as the main barrier in implementing Industry 4.0 and to be focused first in order to reach a solution.
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Nova |
2021 |
Szczerbicki E, 'Machine Learning Paradigms Advances in Deep Learning-based Technological Applications', INTELLIGENT DECISION TECHNOLOGIES-NETHERLANDS, 15 9-9 (2021)
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2021 |
Xiao Z, Xu X, Zhang H, Szczerbicki E, 'A new multi-process collaborative architecture for time series classification', Knowledge-Based Systems, 220 (2021) [C1]
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2021 |
Sohail N, Anwar SM, Majeed F, Sanin C, Szczerbicki E, 'Smart Approach for Glioma Segmentation in Magnetic Resonance Imaging using Modified Convolutional Network Architecture (U-NET)', Cybernetics and Systems, 52 445-460 (2021) [C1]
Segmentation of a brain tumor from magnetic resonance multimodal images is a challenging task in the field of medical imaging. The vast diversity in potential target regions, appe... [more]
Segmentation of a brain tumor from magnetic resonance multimodal images is a challenging task in the field of medical imaging. The vast diversity in potential target regions, appearance and multifarious intensity threshold levels of various tumor types are few of the major factors that affect segmentation results. An accurate diagnosis and its treatment demand strict delineation of the tumor affected tissues. Herein, we focus on a smart, automated, and robust segmentation approach for brain tumor using a modified 3D U-Net architecture. The pre-operative multimodal 3D-MRI scans of High-Grade Glioma (HGG) and Low-Grade Glioma (LGG) are used as data. Our proposed approach solves the problem of memory and system resource constraints by robustly applying dense network training on image patches of 3D volumes. It improves the border region artifact detection by applying convolutions at an appropriate phase in the proposed neural network. Multi-class imbalance data are handled by using Categorical Cross Entropy (CCE) loss developed by combining the Weighted Cross Entropy (WCE) with Weighted Multi-class Dice Loss (WMDL) functions, which enables the network to perform smart segmentation of the smaller tumorous regions. The proposed approach is tested and evaluated for the challenge datasets of multimodal MRI volumes of tumor patients. Experiments are performed to compute the average dice scores on BraTS-2019 and BraTS-2020 datasets for the whole tumor region.
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Nova |
2021 |
Szczerbicki E, Nguyen NT, 'Intelligence Augmentation and Amplification: Approaches, Tools, and Case Studies', CYBERNETICS AND SYSTEMS, 53 381-383 (2021)
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2021 |
Ning G, Wu C, Li Y, Zhang H, Szczerbicki E, 'Toward Intelligent Recommendations Using the Neural Knowledge DNA', Cybernetics and Systems, 52 419-428 (2021) [C1]
In this paper we propose a novel recommendation approach using past news click data and the Neural Knowledge DNA (NK-DNA). The Neural Knowledge DNA is a novel knowledge representa... [more]
In this paper we propose a novel recommendation approach using past news click data and the Neural Knowledge DNA (NK-DNA). The Neural Knowledge DNA is a novel knowledge representation method designed to support discovering, storing, reusing, improving, and sharing knowledge among machines and computing systems. We examine our approach for news recommendation tasks on the MIND benchmark dataset. By taking advantages of NK-DNA, deep learning, and the SOEKS technologies, our approach can learn from users¿ past behaviors to form reading preference of the user, and reuse learned knowledge for improving the recommendation performance.
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2021 |
Ahmed MB, Majeed F, Sanin C, Szczerbicki E, 'Experience-Based Product Inspection Planning for Industry 4.0', Cybernetics and Systems, 52 296-312 (2021) [C1]
In this paper we describe how our Smart Virtual Product Development (SVPD) system can be used to enhance product inspection planning. The SVPD system is comprised of three main mo... [more]
In this paper we describe how our Smart Virtual Product Development (SVPD) system can be used to enhance product inspection planning. The SVPD system is comprised of three main modules, these being the design knowledge management (DKM) module, the manufacturing capability and process planning (MCAPP) module, and the product inspection planning (PIP) module. Experiential knowledge relating to formal decisional events is collected, stored and used by the system in the form of set of experiences (SOEs). Here we discuss the working mechanism of the PIP module and show how experiential knowledge relating to the inspection of products that have features and functions in common can be used to enhance product inspection planning during early stages of product development. Our discussion commences with an introduction to fundamental concepts and a general system overview. We then describe the development of our SVPD system¿s PIP module, and a case study we undertook for validation purposes. Results of the case study show that our system is capable of supporting product inspection planning in smart manufacturing, and thus has a vital role to play in Industry 4.0.
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Nova |
2020 |
Zhang H, Xiao Z, Wang J, Li F, Szczerbicki E, 'A Novel IoT-Perceptive Human Activity Recognition (HAR) Approach Using Multihead Convolutional Attention', IEEE Internet of Things Journal, 7 1072-1080 (2020) [C1]
Together with the fast advancement of the Internet of Things (IoT), smart healthcare applications and systems are equipped with increasingly more wearable sensors and mobile devic... [more]
Together with the fast advancement of the Internet of Things (IoT), smart healthcare applications and systems are equipped with increasingly more wearable sensors and mobile devices. These sensors are used not only to collect data but also, and more importantly, to assist in daily activity tracking and analyzing of their users. Various human activity recognition (HAR) approaches are used to enhance such tracking. Most of the existing HAR methods depend on exploratory case-based shallow feature learning architectures, which struggle with correct activity recognition when put into real-life practice. To tackle this problem, we propose a novel approach that utilizes the convolutional neural networks (CNNs) and the attention mechanism for HAR. In the presented method, the activity recognition accuracy is improved by incorporating attention into multihead CNNs for better feature extraction and selection. Proof of concept experiments are conducted on a publicly available data set from wireless sensor data mining (WISDM) lab. The results demonstrate a higher accuracy of our proposed approach in comparison with the current methods.
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2020 |
de Oliveira CS, Giustozzi F, Zanni-Merk C, Sanin C, Szczerbicki E, 'Stream Reasoning to Improve Decision-Making in Cognitive Systems', Cybernetics and Systems, 51 214-231 (2020) [C1]
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Nova |
2020 |
Szczerbicki E, Nguyen NT, 'Cognitive Systems, Concepts, Processes, and Techniques for the Age of Industry 4.0', CYBERNETICS AND SYSTEMS, 52 293-295 (2020)
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2020 |
Ahmed MB, Majeed F, Sanin C, Szczerbicki E, 'Smart virtual product development (SVPD) system to support product inspection planning in industry 4.0', Procedia Computer Science, 176 2596-2604 (2020) [C1]
This paper presents the idea of supporting product inspection planning process during the early stages of product life cycle for the experts working on product development. Aim of... [more]
This paper presents the idea of supporting product inspection planning process during the early stages of product life cycle for the experts working on product development. Aim of this research is to assist a collaborative product development process by using Smart Virtual Product Development (SVPD) system, which is based on Set of Experience Knowledge Structure (SOEKS) and Decisional DNA (DDNA). The proposed system is developed to support three key aspects of industrial product development i.e. design, manufacturing, and product inspection. Therefore, it comprises of three main modules; design knowledge management (DKM), manufacturing capability and process planning (MCAPP), and product inspection planning (PIP). It collects, stores, and uses experiential knowledge from formal decisional events in the form of set of experience (SOE). This research enlightens the working mechanism of the PIP module, and shows how experiential knowledge related to product inspection can be used during the early stages of product development process. This experiential knowledge is extracted and stored from similar products having some common features and functions. First, the basic description and principles of the approach are introduced, then the prototype version of the system is developed and tested for product inspection planning (PIP) module for the case study, which verifies the feasibility of the proposed approach. The presented system successfully supports smart manufacturing and can play a vital role in Industry 4.0.
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Nova |
2020 |
Zhang H, Li F, Wang J, Wang Z, Shi L, Sanin C, Szczerbicki E, 'The Neural Knowledge DNA Based Smart Internet of Things', CYBERNETICS AND SYSTEMS, 51 258-264 (2020) [C1]
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Nova |
2020 |
Zhang H, Li F, Wang J, Zhou Y, Sanin C, Szczerbicki E, 'Experience-Based Cognition for Driving Behavioral Fingerprint Extraction', CYBERNETICS AND SYSTEMS, 51 103-114 (2020) [C1]
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Nova |
2020 |
Ahmed MB, Majeed F, Sanin C, Szczerbicki E, 'Enhancing Product Manufacturing through Smart Virtual Product Development (SVPD) for Industry 4.0', CYBERNETICS AND SYSTEMS, 51 246-257 (2020) [C1]
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Nova |
2020 |
Shafiq SI, Sanin C, Szczerbicki E, 'Knowledge-Based Virtual Modeling and Simulation of Manufacturing Processes for Industry 4.0', CYBERNETICS AND SYSTEMS, 51 84-102 (2020) [C1]
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Nova |
2020 |
Li F, Zhang J, Szczerbicki E, Song J, Li R, Diao R, 'Deep learning-based intrusion system for vehicular ad hoc networks', Computers, Materials and Continua, 65 653-681 (2020)
The increasing use of the Internet with vehicles has made travel more convenient. However, hackers can attack intelligent vehicles through various technical loopholes, resulting i... [more]
The increasing use of the Internet with vehicles has made travel more convenient. However, hackers can attack intelligent vehicles through various technical loopholes, resulting in a range of security issues. Due to these security issues, the safety protection technology of the in-vehicle system has become a focus of research. Using the advanced autoencoder network and recurrent neural network in deep learning, we investigated the intrusion detection system based on the in-vehicle system. We combined two algorithms to realize the efficient learning of the vehicle's boundary behavior and the detection of intrusive behavior. In order to verify the accuracy and efficiency of the proposed model, it was evaluated using real vehicle data. The experimental results show that the combination of the two technologies can effectively and accurately identify abnormal boundary behavior. The parameters of the model are self-iteratively updated using the time-based back propagation algorithm. We verified that the model proposed in this study can reach a nearly 96% accurate detection rate.
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2020 |
Szczerbicki E, Ngoc TN, Zanni-Merk C, 'Smart Data, Information, and Knowledge Processing for Intelligence Amplification: Approaches, Models and Case Studies', CYBERNETICS AND SYSTEMS, 51 81-83 (2020)
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2019 |
Oliveira CSD, Sanin C, Szczerbicki E, 'Visual content representation and retrieval for cognitive cyber physical systems', Procedia Computer Science, 159 2249-2257 (2019) [C1]
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Nova |
2019 |
Shafiq SI, Szczerbicki E, Sanin C, 'Proposition of the methodology for Data Acquisition, Analysis and Visualization in support of Industry 4.0', Procedia Computer Science, 159 1976-1985 (2019) [E1]
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Nova |
2019 |
Ahmed MB, Sanin C, Szczerbicki E, 'Smart virtual product development (SVPD) to enhance product manufacturing in industry 4.0', Procedia Computer Science, 159 2232-2239 (2019) [C1]
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Nova |
2019 |
Bilal Ahmed M, Imran Shafiq S, Sanin C, Szczerbicki E, 'Towards Experience-Based Smart Product Design for Industry 4.0', Cybernetics and Systems, 50 165-175 (2019) [C1]
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Nova |
2019 |
Waris MM, Sanin C, Szczerbicki E, 'Establishing intelligent enterprise through community of practice for product innovation', Journal of Intelligent and Fuzzy Systems, 37 7169-7178 (2019) [C1]
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Nova |
2019 |
Szczerbicki E, Ngoc TN, Zanni-Merk C, 'Adding Smartness to Systems With Case Studies and Applications', CYBERNETICS AND SYSTEMS, 50 79-81 (2019)
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2019 |
Shafiq SI, Szczerbicki E, Sanin C, 'Decisional-DNA Based Smart Production Performance Analysis Model', CYBERNETICS AND SYSTEMS, 50 154-164 (2019) [C1]
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Nova |
2019 |
Silva de Oliveira C, Sanin C, Szczerbicki E, 'Visual Content Learning in a Cognitive Vision Platform for Hazard Control (CVP-HC)', Cybernetics and Systems, 50 197-207 (2019) [C1]
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Nova |
2019 |
Shafiq SI, Szczerbicki E, Sanin C, 'Decisional DNA based intelligent knowledge model for flexible manufacturing system', Journal of Intelligent and Fuzzy Systems, 37 7155-7167 (2019) [C1]
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Nova |
2019 |
Bilal Ahmed M, Sanin C, Shafiq SI, Szczerbicki E, 'Experience based decisional DNA to support smart product design', Journal of Intelligent and Fuzzy Systems, 37 7179-7187 (2019) [C1]
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Nova |
2019 |
Nguyen NT, Hwang D, Szczerbicki E, 'Computational collective intelligence for enterprise information systems', Enterprise Information Systems, 13 933-934 (2019)
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2019 |
Li F, Zhang H, Gao L, Wang J, Sanin C, Szczerbicki E, 'A Set of Experience-Based Smart Synergy Security Mechanism in Internet of Vehicles', CYBERNETICS AND SYSTEMS, 50 230-237 (2019) [C1]
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Nova |
2019 |
Sanin C, Zhang H, Shafiq I, Waris MM, de Oliveira CS, Szczerbicki E, 'Experience based knowledge representation for Internet of Things and Cyber Physical Systems with case studies', FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 92 604-616 (2019) [C1]
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Nova |
2019 |
Orlowski A, Szczerbicki E, 'SMART BLUE CITIES', Europa XXI, 36 77-88 (2019)
This paper presents the concept of Smart Cities from the perspective of those located by water, considering if there are more major differences in the way the concept is implement... [more]
This paper presents the concept of Smart Cities from the perspective of those located by water, considering if there are more major differences in the way the concept is implemented in coastal cities, as opposed to those located anywhere else. It proves possible to point to such differences, in relation to the three key areas of mobility, the environment and living. Further consideration is given to specific legal and cross-cultural challenges ¿ like excessive tourism and issues of short-term rental ¿ as these appear from the Smart City perspective; and relevant mobility challenges are also addressed. The article further refers to aspects the Smart City and blue growth concepts have in common, as well as to areas in which coordination of the two will be necessary. Ultimately, conclusions are arrived at on the basis of research results for 10 large cities in Poland, the readiness of their city offices to implement the Smart City concept having been the subject of verification.
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2018 |
de Oliveira CS, Sanin C, Szczerbicki E, 'Flexible Knowledge Vision Integration Platform for Personal Protective Equipment Detection and Classification Using Hierarchical Convolutional Neural Networks and Active Leaning', Cybernetics and Systems, 49 355-367 (2018) [C1]
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Nova |
2018 |
Ahmed MB, Sanin C, Szczerbicki E, 'Experience-Based Decisional DNA (DDNA) to Support Product Development', Cybernetics and Systems, 49 399-411 (2018) [C1]
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Nova |
2018 |
Shafiq SI, Szczerbicki E, Sanin C, 'Manufacturing Data Analysis in Internet of Things/Internet of Data (IoT/IoD) Scenario', Cybernetics and Systems, 49 280-295 (2018) [C1]
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Nova |
2018 |
Waris MM, Sanin C, Szczerbicki E, 'Smart Innovation Engineering: Toward Intelligent Industries of the Future', Cybernetics and Systems, 49 339-354 (2018) [C1]
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Nova |
2018 |
De Oliveira CS, Sanin C, Szczerbicki E, 'Contextual Knowledge to Enhance Workplace Hazard Recognition and Interpretation in a Cognitive Vision Platform', Procedia Computer Science, 126 1837-1846 (2018) [C1]
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Nova |
2018 |
Souza Alves TD, De Oliveira CS, Sanin C, Szczerbicki E, 'From Knowledge based Vision Systems to Cognitive Vision Systems: A Review', Procedia Computer Science, 126 1855-1864 (2018) [C1]
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Nova |
2018 |
Szczerbicki E, Ngoc TN, 'Smart Data, Information, and Knowledge Engineering: Approaches, Techniques, and Case Studies', CYBERNETICS AND SYSTEMS, 49 257-260 (2018)
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2018 |
Li F, Zhang H, Wang J, Liu Y, Gao L, Xu X, et al., 'Toward Intelligent Vehicle Intrusion Detection Using the Neural Knowledge DNA', CYBERNETICS AND SYSTEMS, 49 412-419 (2018) [C1]
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Nova |
2017 |
Shafiq SI, Sanin C, Szczerbicki E, Toro C, 'Towards an experience based collective computational intelligence for manufacturing', FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 66 89-99 (2017) [C1]
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Nova |
2017 |
Waris MM, Sanin C, Szczerbicki E, Shafiq SI, 'A Semiautomatic Experience-Based Tool for Solving Product Innovation Problem', CYBERNETICS AND SYSTEMS, 48 231-248 (2017) [C1]
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Nova |
2017 |
Zhang H, Li F, Wang J, Wang Z, Shi L, Zhao J, et al., 'Adding Intelligence to Cars Using the Neural Knowledge DNA', CYBERNETICS AND SYSTEMS, 48 267-273 (2017) [C1]
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Nova |
2017 |
Zhang H, Sanin C, Szczerbicki E, Zhu M, 'Towards neural knowledge DNA', JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 32 1575-1584 (2017) [C1]
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Nova |
2017 |
Waris MM, Sanin C, Szczerbicki E, 'Smart innovation process enhancement using soeks and decisional dna', Journal of Information and Telecommunication, 1 290-303 (2017)
Product innovation always requires a foundation based on both knowledge and experience. The production and innovation process of products is very similar to the evolution process ... [more]
Product innovation always requires a foundation based on both knowledge and experience. The production and innovation process of products is very similar to the evolution process of humans. The genetic information of humans is stored in genes, chromosomes and DNA. Similarly, the information about the products can be stored in a system having virtual genes, chromosomes and decisional DNA (DDNA). The present paper proposes a semi-automatic system that facilitates product innovation process using a Smart Knowledge Management System comprising Set of Experience Knowledge Structure and DDNA. This system is called Smart Innovation Engineering System. Through this system, entrepreneurs and organizations will be able to perform the product innovation process technically and quickly, as it stores knowledge in the form of experiences of the past innovative decisions taken. This proposed system is dynamic in nature as it updates itself every time a decision is taken.
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2017 |
Szczerbicki E, 'Guest Editorial: Information and Experience Engineering in Semantic Society: Some Challenges, Approaches, and Case Studies', CYBERNETICS AND SYSTEMS, 48 137-139 (2017)
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2017 |
Zhang H, Li F, Wang J, Wang Z, Sanin C, Szczerbicki E, 'Experience-Oriented Intelligence for Internet of Things', CYBERNETICS AND SYSTEMS, 48 162-181 (2017) [C1]
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Nova |
2017 |
Sanin C, Shafiq I, Waris MM, Toro C, Szczerbicki E, 'Manufacturing collective intelligence by the means of Decisional DNA and virtual engineering objects, process and factory', JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 32 1585-1599 (2017) [C1]
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Nova |
2016 |
Szczerbicki E, 'Guest Editorial: Smart Experience and Knowledge Engineering for Optimization, Learning, and Classification/Recommendation Problems', CYBERNETICS AND SYSTEMS, 47 1-3 (2016)
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2016 |
Zhang H, Sanin C, Szczerbicki E, 'When Neural Networks Meet Decisional DNA: A Promising New Perspective for Knowledge Representation and Sharing', Cybernetics and Systems, 47 140-148 (2016) [C1]
In this article, we introduce a novel concept combining neural network technology and Decisional DNA for knowledge representation and sharing. Instead of using traditional machine... [more]
In this article, we introduce a novel concept combining neural network technology and Decisional DNA for knowledge representation and sharing. Instead of using traditional machine learning and knowledge discovery methods, this approach explores the way of knowledge extraction through deep learning processes based on a domains past decisional events captured by Decisional DNA. We compare our approach with kNN (k-nearest neighbors), logistic regression, and AdaBoost in classification tasks, and the results show that our approach is very promising with regard to the enhancement of the accuracy of knowledge-based predictions required in complex decision-making problems.
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Nova |
2016 |
Waris MM, Sanin C, Szczerbicki E, 'Toward Smart Innovation Engineering: Decisional DNA-Based Conceptual Approach', Cybernetics and Systems, 47 149-159 (2016) [C1]
Knowledge and experience are essential requirements for product innovation. The presented paper proposes a systematic approach for product innovation support using a Smart Knowled... [more]
Knowledge and experience are essential requirements for product innovation. The presented paper proposes a systematic approach for product innovation support using a Smart Knowledge Management System comprising a Set of Experience Knowledge Structure (SOEKS) and Decisional DNA (DDNA). This proposed system is dynamic in nature because it updates itself every time a new decision related to innovation is made. Through this system, the product innovation process can be performed semiautomatically and efficiently because it stores knowledge of past experiences of innovative decisions.
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Nova |
2016 |
Shafiq SI, Sanin C, Szczerbicki E, Toro C, 'Virtual Engineering Factory: Creating Experience Base for Industry 4.0', Cybernetics and Systems, 47 32-47 (2016) [C1]
In recent times, traditional manufacturing is upgrading and adopting Industry 4.0, which supports computerization of manufacturing by round-the-clock connection and communication ... [more]
In recent times, traditional manufacturing is upgrading and adopting Industry 4.0, which supports computerization of manufacturing by round-the-clock connection and communication of engineering objects. Consequently, Decisional DNA-based knowledge representation of manufacturing objects, processes, and system is achieved by virtual engineering objects (VEO), virtual engineering processes (VEP), and virtual engineering factories (VEF), respectively. In this study, assimilation of VEO-VEP-VEF concept in the Cyber-physical system-based Industry 4.0 is proposed. The planned concept is implemented on a case study. Also, Decisional DNA features such as similarity identification and phenotyping are explored for validation. It is concluded that this approach can support Industry 4.0 and can facilitate in real time critical, creative, and effective decision making.
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Nova |
2016 |
Shafiq SI, Sanin C, Toro C, Szczerbicki E, 'Virtual engineering process (VEP): a knowledge representation approach for building bio-inspired distributed manufacturing DNA', International Journal of Production Research, 54 7129-7142 (2016) [C1]
The objective of this research is to provide a user-friendly and effective way of representing engineering processes for distributed manufacturing systems so that they can develop... [more]
The objective of this research is to provide a user-friendly and effective way of representing engineering processes for distributed manufacturing systems so that they can develop, accumulate and share knowledge. The basic definition and principle of the approach is introduced first and then the prototype version of the system is developed and demonstrated with case studies, which verify the feasibility of the proposed approach. This paper proposes a novel concept of virtual engineering process (VEP), which is experience-based knowledge representation of engineering processes. VEP is an extension of our previous work on virtual engineering object (VEO). VEP model includes complete process knowledge required to manufacture a component. This knowledge is captured from three distinctive aspects related to manufacturing. First, information about the manufacturing operations involved. Second, information about the resources/machines required to perform operations and third, information about process level decisions that are taken. It also aims to combine/share experience of engineering objects, manufacturing processes, and systems. It applies bio-inspired knowledge engineering approach called decisional DNA and set of experience-based knowledge representation.
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Nova |
2015 |
Szczerbicki E, 'Guest Editorial: Knowledge and Experience Engineering: Recent Advances with Applications', CYBERNETICS AND SYSTEMS, 46 1-3 (2015) [C3]
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2015 |
Sanchez E, Toro C, Grana M, Sanin C, Szczerbicki E, 'Extended Reflexive Ontologies for the Generation of Clinical Recommendations', CYBERNETICS AND SYSTEMS, 46 4-18 (2015) [C1]
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Nova |
2015 |
Shafiq SI, Sanin C, Toro C, Szczerbicki E, 'Virtual Engineering Object (VEO): Toward Experience-Based Design and Manufacturing for Industry 4.0', CYBERNETICS AND SYSTEMS, 46 35-50 (2015) [C1]
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Nova |
2015 |
Zhang H, Sanin C, Szczerbicki E, 'Applying Decisional DNA to Internet of Things: The Concept and Initial Case Study', CYBERNETICS AND SYSTEMS, 46 84-93 (2015) [C1]
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Nova |
2015 |
Wang P, Sanin C, Szczerbicki E, 'Evolutionary algorithm and decisional DNA for multiple travelling salesman problem', Neurocomputing, 150 50-57 (2015) [C1]
In the real world, it is common to face optimization problems that have two or more objectives that must be optimized at the same time, that are typically explained in different u... [more]
In the real world, it is common to face optimization problems that have two or more objectives that must be optimized at the same time, that are typically explained in different units, and are in conflict with one another. This paper presents a hybrid structure that combines set of experience knowledge structures (SOEKS) and evolutionary algorithms, NSGA-II (Non-dominated Sorting Genetic Algorithm II), to solve multiple optimization problems. The proposed structure uses experience that is derived from a former decision event to improve the evolutionary algorithm's ability to find optimal solutions rapidly and efficiently. It is embedded in a smart experience-based data analysis system (SEDAS) introduced in the paper. Experimental illustrative results of SEDAS application to solve a travelling salesman problem show that our new proposed hybrid model can find optimal or close to true Pareto-optimal solutions in a fast and efficient way.
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Nova |
2015 |
Zambrano A, Toro C, Nieto M, Sotaquirá R, Sanín C, Szczerbicki E, 'Video semantic analysis framework based on run-time production rules - Towards cognitive vision', Journal of Universal Computer Science, 21 856-870 (2015) [C1]
This paper proposes a service-oriented architecture for video analysis which separates object detection from event recognition. Our aim is to introduce new tools to be considered ... [more]
This paper proposes a service-oriented architecture for video analysis which separates object detection from event recognition. Our aim is to introduce new tools to be considered in the pathway towards Cognitive Vision as a support for classical Computer Vision techniques that have been broadly used by the scientific community. In the article, we particularly focus in solving some of the reported scalability issues found in current Computer Vision approaches by introducing an experience based approximation based on the Set of Experience Knowledge Structure (SOEKS). In our proposal, object detection takes place clientside, while event recognition takes place server-side. In order to implement our approach, we introduce a novel architecture that aims at recognizing events defined by a user using production rules (a part of the SOEKS model) and the detections made by the client using their own algorithms for visual recognition. In order to test our methodology, we present a case study, showing the scalability enhancements provided.
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Nova |
2015 |
Shafiq SI, Sanin C, Szczerbicki E, Toro C, 'Virtual engineering objects: Effective way of knowledge representation and decision making', Studies in Computational Intelligence, 598 261-270 (2015) [C1]
This paper presents a knowledge representation case study by constructing Decisional DNA of engineering objects. Decisional DNA, as a knowledge representation structure not only o... [more]
This paper presents a knowledge representation case study by constructing Decisional DNA of engineering objects. Decisional DNA, as a knowledge representation structure not only offers great possibilities on gathering explicit knowledge of formal decision events but also it is a powerful tool for decision-making process. The concept of Virtual engineering Object (VEO), which is a knowledge and experience representation of engineering artefacts, is also discussed. In this paper, we present several Sets of Experience of engineering objects used in manufacturing that were collected for the construction of a VEO-chromosome within the VEO-Decisional DNA. VEO is used to enhance manufacturing systems with predicting capabilities, facilitating decision-making in engineering processes knowledge handling.
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Nova |
2014 |
Sanchez E, Toro C, Graña M, Sanín C, Szczerbicki E, 'Specification of extended reflexive ontologies in the context of CDSS', Studies in Health Technology and Informatics, 207 234-243 (2014) [C1]
Decision recommendations are a set of alternative options for clinical decisions (e.g. diagnosis, prognosis, treatment selection, follow-up and prevention) that are provided to de... [more]
Decision recommendations are a set of alternative options for clinical decisions (e.g. diagnosis, prognosis, treatment selection, follow-up and prevention) that are provided to decision makers by knowledge-based Clinical Decision Support Systems (k-CDSS) as aids. We propose to follow a reasoning over domain approach for the generation of decision recommendations, by gathering and inferring conclusions from production rules. In order to rationalize our approach we present a specification that will sustain the logic models supported in the Knowledge Bases we use for persistence. We introduce first the underlying knowledge model and then the necessary extensions that will convey towards the solution of the reported needs. The starting point of our approach is the work of Toro et al. [13] on Reflexive Ontologies (RO). We also propose an extension of RO, by including the handling and reasoning that production rules provide. Our approach speeds-up the recommendation generation process.
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Nova |
2014 |
Sanchez E, Peng W, Toro C, Sanin C, Graña M, Szczerbicki E, et al., 'Decisional DNA for modeling and reuse of experiential clinical assessments in breast cancer diagnosis and treatment', Neurocomputing, 146 308-318 (2014) [C1]
Clinical Decision Support Systems (CDSS) are active knowledge resources that use patient data to generate case specific advice. The fast pace of change of clinical knowledge impos... [more]
Clinical Decision Support Systems (CDSS) are active knowledge resources that use patient data to generate case specific advice. The fast pace of change of clinical knowledge imposes to CDSS the continuous update of the domain knowledge and decision criteria. Traditional approaches require costly tedious manual maintenance of the CDSS knowledge bases and repositories. Often, such an effort cannot be assumed by medical teams, hence maintenance is often faulty. In this paper, we propose a (semi-)automatic update process of the underlying knowledge bases and decision criteria of CDSS, following a learning paradigm based on previous experiences, such as the continuous learning that clinicians carry out in real life. In this process clinical decisional events are acquired and formalized inside the system by the use of the SOEKS and Decisional DNA experiential knowledge representation techniques. We propose three algorithms processing clinical experience to: (a) provide a weighting of the different decision criteria, (b) obtain their fine-tuning, and (c) achieve the formalization of new decision criteria. Finally, we present an implementation instance of a CDSS for the domain of breast cancer diagnosis and treatment. © 2014 Elsevier B.V.
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Nova |
2014 |
Szczerbicki E, Orlowski C, 'Guest editorial: Designing and developing smart cognitive systems: Implementation lessons from the real world', Cybernetics and Systems, 45 89-91 (2014) [C3]
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Nova |
2014 |
Shafiq SI, Sanín C, Szczerbicki E, 'Set of experience knowledge structure (SOEKS) and decisional DNA (DDNA): Past, present and future', Cybernetics and Systems, 45 200-215 (2014) [C1]
This article reviews research work on set of experience knowledge structure (SOEKS)-decisional DNA (DDNA) done in the past, ongoing, and planned for the future. Firstly, the conce... [more]
This article reviews research work on set of experience knowledge structure (SOEKS)-decisional DNA (DDNA) done in the past, ongoing, and planned for the future. Firstly, the concept of the knowledge representation technique of SOEKS-DDNA is discussed, and then an attempt is made to organize the past research related with it in chronological order. This work focuses on the review on SOEKS-DDNA, its application in different domains, the various implementation platforms, as well as its benefits and its limitations. The second part of this article provides an idea of the SOEKS-DDNA-related research endeavors currently carried out by us and the last part is a sneak peek into our planned future work. © 2014 Copyright Taylor & Francis Group, LLC.
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Nova |
2014 |
Calad-Alvarez A, Mejia-Gutierrez R, Sanin CM, Szczerbicki E, 'Smart experience engineering to support collaborative design problems based on constraints modelling', JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 27 655-666 (2014) [C1]
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Nova |
2014 |
Orlowski C, Szczerbicki E, Grabowski J, 'Enterprise service bus architecture for the big data systems', Management and Production Engineering Review, 5 28-31 (2014) [C1]
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Nova |
2013 |
Orlowski A, Szczerbicki E, 'Toward a fuzzy model of polish internet mortgage market', Cybernetics and Systems, 44 264-274 (2013)
This article presents our continuing efforts to develop a model of the Internet-based mortgage market in Poland. It sums up modeling research done over the last 4 years, also show... [more]
This article presents our continuing efforts to develop a model of the Internet-based mortgage market in Poland. It sums up modeling research done over the last 4 years, also showing the stages and the process of building and verifying the proposed model consisting of three submodels. The submodels are described for three market situations; that is, a stable market, financial crisis, and economic boom. The proposed model variables are analyzed statistically and the submodels are verified. The article presents the most current stage of model development and concludes with suggestions for further research in this area leading to the ultimate application of the proposed model in a real-life prognosis process. © 2013 Taylor & Francis Group, LLC.
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2013 |
Sanchez E, Toro C, Artetxe A, Grana M, Sanin C, Szczerbicki E, et al., 'Bridging challenges of clinical decision support systems with a semantic approach. A case study on breast cancer', PATTERN RECOGNITION LETTERS, 34 1758-1768 (2013) [C1]
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Nova |
2013 |
Mancilla-Amaya L, Szczerbicki E, Sanin C, 'A PROPOSAL FOR A KNOWLEDGE MARKET BASED ON QUANTITY AND QUALITY OF KNOWLEDGE', CYBERNETICS AND SYSTEMS, 44 118-132 (2013) [C1]
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Nova |
2013 |
Wang P, Sanin C, Szczerbicki E, 'PREDICTION BASED ON INTEGRATION OF DECISIONAL DNA AND A FEATURE SELECTION ALGORITHM RELIEF-F', CYBERNETICS AND SYSTEMS, 44 173-183 (2013) [C1]
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Nova |
2013 |
Artetxe A, Sanchez E, Toro C, Sanín C, Szczerbicki E, Graña M, Posada J, 'Impact of reflexive ontologies in semantic clinical decision support systems', Cybernetics and Systems, 44 187-203 (2013) [C1]
Ontology processing is arguably a time-consuming process with high associated computational costs. Query actions constitute a crucial part of the reasoning process and are a prima... [more]
Ontology processing is arguably a time-consuming process with high associated computational costs. Query actions constitute a crucial part of the reasoning process and are a primary source of time consumption. Reflexive ontologies (ROs) is a novel approach intended to reduce time consumption problems while providing a fast reaction from ontology-based applications. In this article we present the implementation of a knowledge-based clinical decision support system (CDSS) for the diagnosis of Alzheimer's disease, which was the benchmark used to evaluate the impact of RO in the overall performance of the system. The implementation details and the definition of the implementation methodology are exposed in this article, along with the results of the evaluation. Some novel techniques that aim to optimize the performance of ROs are also presented with highlights of the test application introduced in our previous work. © 2013 Taylor & Francis Group, LLC.
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Nova |
2013 |
Zhang H, Sanín C, Szczerbicki E, 'Implementing fuzzy logic to generate user profile in decisional dna television: The concept and initial case study', Cybernetics and Systems, 44 275-283 (2013) [C1]
In this article, we present a concept and case study of a novel approach that generates a television (TV) user's profile utilizing principles of fuzzy logic. A user profile r... [more]
In this article, we present a concept and case study of a novel approach that generates a television (TV) user's profile utilizing principles of fuzzy logic. A user profile refers to the user's basic information, such as gender, age, and profession. The generated profile has the potential to significantly improve Digital TV (DTV), making the service smarter and more user friendly. We apply the proposed approach to our previous work that introduced decisional DNA TV, which enables TV broadcasters to suggest program choices based upon the user's past viewing habits. Decisional DNA is a domain-independent, flexible, and standard experiential knowledge repository solution that allows for knowledge to be acquired, reused, evolved, and shared in an easy and portable way. The presented conceptual approach demonstrates how fuzzy logic methods can be deployed within DNA TV through an experimental implementation that generates a user profile by capturing viewing habits. © 2013 Taylor & Francis Group, LLC.
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Nova |
2013 |
Szczerbicki E, Graña M, Posada J, Toro C, 'Current research advances and implementations in smart knowledge-based systems: Part II', Cybernetics and Systems, 44 184-186 (2013) [C3]
The special edition of Cybernetics and Systems contains selected and reviewed papers that expand significantly on topics covered by some conferences on knowledge engineering and s... [more]
The special edition of Cybernetics and Systems contains selected and reviewed papers that expand significantly on topics covered by some conferences on knowledge engineering and smart knowledge-based systems design and development. The selection enhances efforts toward intelligent systemic approaches researched in this area of new, innovative, and significant developments that can be of great interest to cybernetics and systems science professionals. The authors of the paper titled 'Impact of Reflexive Ontologies in Semantic Clinical Decision Support Systems' introduce reflex ontologies (ROs) as a novel approach intended to reduce time consumption problems while providing as a result a fast reaction from ontology-based applications. The presented real-life application is a case study for a knowledge-based clinical decision support system for the diagnosis of Alzheimer's disease.
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2013 |
Szczerbicki E, Graña M, Posada J, Toro C, 'Current research advances and implementations in smart knowledge-based systems: Part i', Cybernetics and Systems, 44 95-97 (2013) [C3]
The aim of the latest issue of the Cybernetics and Systems journal is to provide guidelines to develop tools for smart processing of knowledge and information. It gives ideas and ... [more]
The aim of the latest issue of the Cybernetics and Systems journal is to provide guidelines to develop tools for smart processing of knowledge and information. It gives ideas and case studies to explore and the complexities and challenges of modern knowledge management issues. It also encourages the reader to become aware of the multifaceted interdisciplinary character of such issues. The preview of this issue is that the reader will leave it with a heightened ability to think about developing, evaluating implementing, and supporting intelligent knowledge- and information-based management systems in real-life environments in different ways. This Guest Edition is based on some significant contributions provided by one of the most dynamic and innovative conference series in the area, held in Spain in 2012. A paper entitled 'A Hybrid Method for Fuzzy Ontology Integration', introduces a novel concept of combining heuristics and consensus-based conflict resolution for fuzzy ontology integration.
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2012 |
Orowski C, Szczerbicki E, 'Hybrid model of the evolution of information technology (IT) support organization', Cybernetics and Systems, 43 292-302 (2012)
This article presents and discusses comprehensive development stages of an integrated, general model of the evolution of support organization enhancing information technology (IT)... [more]
This article presents and discusses comprehensive development stages of an integrated, general model of the evolution of support organization enhancing information technology (IT) systems of a corporation. Both advantages and disadvantages of the proposed model are analyzed and future research directions communicated. This article signals one of the current efforts toward addressing the challenges of a very dynamic transformation of IT support in a real-life environment. © 2012 Taylor & Francis.
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2012 |
Orlowski A, Szczerbicki E, 'Conditions of the fuzzy internet mortgage market submodels implementation', Frontiers in Artificial Intelligence and Applications, 243 1470-1479 (2012)
The paper introduces some challenges of the fast growing mortgage market in Poland, being also the next step of research presented in previous publications, showing the complete p... [more]
The paper introduces some challenges of the fast growing mortgage market in Poland, being also the next step of research presented in previous publications, showing the complete process of building and verifying three submodels for the internet mortgage market. The sub-models are described for three market situations, i.e. stable market, crisis, and boom, then the variables within the models are analyzed statistically (e.g. correlation level) and finally the models are verified. The paper presents the process of verification of submodel nr 3 (fast growing market) as an example of the verification process that was applied. The paper concludes with directions for further research in this area leading to the ultimate application of the proposed model in a real life prognosis process. © 2012 The authors and IOS Press. All rights reserved.
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2012 |
Kucharski B, Szczerbicki E, 'Business process modelling and simulation using formal experience record', Frontiers in Artificial Intelligence and Applications, 243 1490-1499 (2012)
Business process modelling and simulation can be a way to improve efficiency in any formal business process support system. In this paper we discuss the underlying concepts and po... [more]
Business process modelling and simulation can be a way to improve efficiency in any formal business process support system. In this paper we discuss the underlying concepts and possible approaches that combines formal knowledge representation through past experiences stored in Set of Experience Knowledge structure with one of the popular simulation platforms iGrafx 2011. © 2012 The authors and IOS Press. All rights reserved.
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2012 |
Szczerbicki E, Orlowski C, 'Guest Editorial: Learning, Scheduling, Resource Optimization, and Evolution in Smart Artificial Systems: Challenges and Support', CYBERNETICS AND SYSTEMS, 43 257-260 (2012) [C3]
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2012 |
Mancilla Amaya LE, Maldonado Sanin CA, Szczerbicki E, 'Quality assessment of experiential knowledge', Cybernetics and Systems, 43 96-113 (2012) [C1]
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Nova |
2012 |
Mancilla Amaya LE, Szczerbicki E, Maldonado Sanin CA, 'Estimating knowledge quantity in the e-decisional community', Cybernetics and Systems, 43 276-291 (2012) [C1]
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Nova |
2012 |
Maldonado Sanin CA, Mancilla Amaya LE, Zhang H, Szczerbicki E, 'Decisional DNA: The Concept and Its Implementation Platforms', Cybernetics and Systems, 43 67-80 (2012) [C1]
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Nova |
2012 |
Toro C, Sanchez E, Carrasco E, Mancilla Amaya LE, Maldonado Sanin CA, Szczerbicki E, et al., 'Using set of experience knowledge structure to extend a rule set of clinical decision support system for Alzheimer's disease diagnosis', Cybernetics and Systems, 43 81-95 (2012) [C1]
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Nova |
2012 |
Toro C, Vaquero J, Grana M, Maldonado Sanin CA, Szczerbicki E, Posada J, 'Building domain ontologies from engineering standards', Cybernetics and Systems, 43 114-126 (2012) [C1]
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Nova |
2012 |
Wang P, Maldonado Sanin CA, Szczerbicki E, 'Introducing the concept of decisional DNA-based web content mining', Cybernetics and Systems, 43 136-142 (2012) [C1]
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Nova |
2012 |
Zhang H, Maldonado Sanin CA, Szczerbicki E, 'Making digital TV smarter: Capturing and reusing experience in digital TV', Cybernetics and Systems, 43 127-135 (2012) [C1]
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Nova |
2012 |
Szczerbicki E, 'Guest editorial: Ontologies, set of experience, and decisional DNA: Smart tools and techniques for knowledge engineering', Cybernetics and Systems, 43 63-66 (2012) [C3] |
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2012 |
Szczerbicki E, Orlowski C, 'Guest editorial: Learning, scheduling, resource optimization, and evolution in smart artificial systems: challenges and support', Cybernetics and Systems, 43 257-260 (2012) [C3] |
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2012 |
Zhang H, Sanin C, Szczerbicki E, 'The Development of Decisional DNA DIGITAL TV', ADVANCES IN KNOWLEDGE-BASED AND INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS, 243 1500-1508 (2012)
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2012 |
Wang P, Sanin C, Szczerbicki E, 'Decisional DNA with Embedded RELIEF-F and Linear Regression for Knowledge and Experience Management', ADVANCES IN KNOWLEDGE-BASED AND INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS, 243 1531-1542 (2012)
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2012 |
Maldonado Sanin CA, Toro C, Zhang H, Sanchez E, Szczerbicki E, Carrasco E, et al., 'Decisional DNA: A multi-technology shareable knowledge structure for decisional experience', Neurocomputing, 88 42-53 (2012) [C1]
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Nova |
2011 |
Kucharski B, Szczerbicki E, 'An approach to smart experience management', Cybernetics and Systems, 42 156-164 (2011)
Reinventing the wheel and making mistakes that have already been made by others are the obvious dangers when we embark on a new project. We can avoid these traps by smart use of p... [more]
Reinventing the wheel and making mistakes that have already been made by others are the obvious dangers when we embark on a new project. We can avoid these traps by smart use of past experience, which includes past mistakes, related to the area of our activities. The above creates two obvious challenges: first, experience capture and storage; and second, the ability to formalize it and use as a decision support tool. This article tries to address the two challenges by proposing an approach to smart experience management and illustrating this approach with a case involving the information technology (IT) workflow platform. Copyright © 2011 Taylor &Francis Group, LLC.
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2011 |
Zuluaga GG, Maldonado Sanin CA, Szczerbicki E, 'Smart decision infrastructure: Architecture discussion', Cybernetics and Systems, 42 139-155 (2011) [C1]
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Nova |
2011 |
Szczerbicki E, Jedrzejowicz P, Nguyen NT, 'Guest editorial: Knowledge processing methodologies in intelligent autonomous systems', Cybernetics and Systems, 42 283-286 (2011) [C3]
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2011 |
Szczerbicki E, 'Guest editorial: Smart modeling support for managing complexities and dynamics of knowledge-based systems - Part 2', Cybernetics and Systems, 42 65-67 (2011) [C3]
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2010 |
Szczerbicki E, 'Smart knowledge-based systems: Endeavours, tools and applications', Systems Science, 36 5 (2010) |
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2010 |
OrLowski A, Szczerbicki E, 'Toward smart decision support system for Mortgage Market', Systems Science, 36 35-40 (2010)
This paper presents the structure of initial fuzzy model representing the Polish Internet Mortgage Market. It starts with an introduction describing the market complexities and ch... [more]
This paper presents the structure of initial fuzzy model representing the Polish Internet Mortgage Market. It starts with an introduction describing the market complexities and challenges, and description of previously created rule based model. Then the steps of the process of proposed model fuzzification are presented. Next, there is presented Graphic User Interface developed for the model created. The final part of the paper consists of conclusions and directions for future research.
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2010 |
Szczerbicki E, 'Guest editorial: Smart modeling support for managing complexities and dynamics of knowledge-based systems-part 1', Cybernetics and Systems, 41 549-553 (2010)
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2010 |
Zhang H, Sanin C, Szczerbicki E, 'Decisional DNA-based embedded systems: A new perspective', Systems Science, 36 21-26 (2010) [C1]
Nowadays, knowledge-based embedded systems have become a new trend on embedded systems. They are capable of knowledge acquisition, reusing, evolving and sharing. However, due to t... [more]
Nowadays, knowledge-based embedded systems have become a new trend on embedded systems. They are capable of knowledge acquisition, reusing, evolving and sharing. However, due to the lack of standardized solutions and development platforms, it is not only very hard to share knowledge among different knowledge-based embedded systems, but this also causes huge waste by redesign, redevelopment, and knowledge re-acquiring. In this paper, we propose the Decisional DNA-based Embedded Systems as a new approach to meet this demand. Decisional DNA is a domain-independent, flexible and standard knowledge representation structure. We apply Decisional DNA to embedded systems to make them acquire, reuse, evolve and share knowledge in an easy and standard way. As a result, we propose the features, architecture and application types for the embedded systems.
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2010 |
Mancilla-Amaya L, Sanín C, Szczerbicki E, 'A proposal for knowledge sharing in the E-Decisional Community using decisional DNA', Systems Science, 36 13-19 (2010) [C1]
The E-Decisional Community is a proposal that aims at enabling knowledge sharing between individuals and organizations, using the Set of Experience Knowledge Structure (SOEKS) and... [more]
The E-Decisional Community is a proposal that aims at enabling knowledge sharing between individuals and organizations, using the Set of Experience Knowledge Structure (SOEKS) and Decisional DNA as knowledge representations; it is based upon principles from Software Agents, Grid and Cloud computing. In this paper, we present an analysis of different agent communication and knowledge representation languages, with the purpose of defining a set of basic mechanisms to be used in the E-Decisional Community for knowledge exchange between its members.
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2010 |
Szczerbicki E, Nguyen NT, 'Editorial: Applied intelligence and knowledge based systems: Approaches and case studies - Part 2', Cybernetics and Systems, 41 1-3 (2010) [C3]
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2010 |
Mancilla Amaya LE, Maldonado Sanin CA, Szczerbicki E, 'Smart knowledge-sharing platform for e-decisional community', Cybernetics and Systems, 41 17-30 (2010) [C1]
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Nova |
2010 |
Mancilla Amaya LE, Maldonado Sanin CA, Szczerbicki E, 'Using human behavior to develop knowledge-based virtual organizations', Cybernetics and Systems, 41 577-591 (2010) [C1]
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Nova |
2010 |
Zhang H, Maldonado Sanin CA, Szczerbicki E, 'Gaining knowledge through experience: Developing decisional DNA applications in robotics', Cybernetics and Systems, 41 628-637 (2010) [C1]
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Nova |
2010 |
Orlowski A, Szczerbicki E, 'The process of fuzzy model development for the case of Polish internet mortgage market', Journal of Internet Banking and Commerce, 15 50-57 (2010) [C1]
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Nova |
2009 |
Kucharski B, Szczerbicki E, 'Experience database based on a workflow class system', Foundations of Control and Management Sciences, - 41-50 (2009) [C1] |
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Nova |
2009 |
Orlowski A, Szczerbicki E, 'The concept of rule model of the Internet mortgage market', Foundations of Control and Management Sciences, - 51-58 (2009) [C1] |
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Nova |
2009 |
Toro C, Graña M, Posada J, Sanín C, Szczerbicki E, 'An architecture for the semantic enhancement of virtual engineering applications', Studies in Computational Intelligence, 252 175-195 (2009) [C2]
Virtual Engineering (VE) is defined as the integration of geometric models and related engineering tools (such as analysis, simulation, optimization and decision-making, etc), wit... [more]
Virtual Engineering (VE) is defined as the integration of geometric models and related engineering tools (such as analysis, simulation, optimization and decision-making, etc), within a computerized environment that facilitates multidisciplinary and collaborative product development [1]. The focus of Virtual Engineering is to engage the human capacity for evaluation of complex systems and situations [2]. In this article, we present an architecture for the Semantic enhancement of Virtual Engineering Applications (VEA) through their embedded Virtual Engineering Tools. Our architecture follows a User-Intention-Domain schema and makes use of state of the art technologies like the Set of Experience Knowledge Structure and the Reflexive Ontologies in order to offer a better User experience with VEA. The main advantages of using Semantics in VEA can be summarized are: (i) an improved information and embedded Knowledge management, (ii) Enhancements in the search, knowledge and information sharing processes during the use of the VEA, (iii) The use of the intrinsic Knowledge embedded in the elements being described by the VEA and (iv) the empowerment of the User's knowledge and embedding of such knowledge in a structured and explicit conceptualization. © 2009 Springer-Verlag Berlin Heidelberg.
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2009 |
Sanín C, Mancilla-Amaya L, Szczerbicki E, Cayfordhowell P, 'Application of a multi-domain knowledge structure: The decisional DNA', Studies in Computational Intelligence, 252 65-86 (2009) [C2]
Knowledge engineering techniques are becoming useful and popular components of hybrid integrated systems used to solve complicated practical problems in different disciplines. Kno... [more]
Knowledge engineering techniques are becoming useful and popular components of hybrid integrated systems used to solve complicated practical problems in different disciplines. Knowledge engineering techniques offer features such as: learning from experience, handling noisy and incomplete data, helping with decision making, and predicting. This chapter presents the application of a knowledge structure to different fields of study by constructing Decisional DNA. Decisional DNA, as a knowledge representation structure, offers great possibilities on gathering explicit knowledge of formal decision events as well as a tool for decision making processes. Its versatility is shown in this chapter when applied to decisional domains in finances and energy. The main advantages of using the Decisional DNA rely on: (i) versatility and dynamicity of the knowledge structure, (ii) storage of day-to-day explicit experience in a single structure, (iii) transportability and share ability of the knowledge, and (iv) predicting capabilities based on the collected experience. Thus, after showing the results, we conclude that the Decisional DNA, as a unique structure, can be applied to multi-domain systems while enhancing predicting capabilities and facilitating knowledge engineering processes inside decision making systems. © 2009 Springer-Verlag Berlin Heidelberg.
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2009 |
Szczerbicki E, Orlowski C, Kowalczuk Z, 'Editorial: Merging knowledge management and information technology', Systems Science, 35 5 (2009) |
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2009 |
Lapniewska Z, Szczerbicki E, 'Investigating the role of knowledge-based technologies in the sector of nongovernmental organizations', Cybernetics and Systems, 40 724-738 (2009)
Knowledge-based systems, knowledge technologies, and knowledge management are the areas that have been gaining significant attention and importance in the recent process of the kn... [more]
Knowledge-based systems, knowledge technologies, and knowledge management are the areas that have been gaining significant attention and importance in the recent process of the knowledge-based economy creation. The above relates not only to the national economy as a whole (macroeconomic level) but also to particular economy sectors and individual organizations. This article focuses on the role of knowledge management tools, technologies, and approaches in the process of dynamic development of Polish nongovernmental organization (NGO) sector. First, the current state of this role is examined and then a systemic model solution is proposed with an example of implementation supporting the enhancement of NGO operations and performance. The article concludes with the outline of further research in this area.
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2009 |
Kucharski B, Szczerbicki E, 'Workflow centered experience management', Cybernetics and Systems, 40 739-746 (2009)
This article is a brief communication of a concept for building an experience-related knowledge database on top of a workflow system. The presented solution has two important char... [more]
This article is a brief communication of a concept for building an experience-related knowledge database on top of a workflow system. The presented solution has two important characteristics. First, it is based on minimal effort approach and thus is truly cost-efficient. The second advantage of the proposed approach is low risk related to introduction of new workflow features. The novel ideas of the approach are illustrated using well-known, open-source software and an ordinary relational database. The presented solution is universal and can be easily tailored to be possible to use with other real-life cases including commercially boxed software.
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2009 |
Jo KH, Nguyen NT, Szczerbicki E, 'Knowledge management for intelligent systems J.UCS special issue', Journal of Universal Computer Science, 15 2463 (2009) |
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2009 |
Szczerbicki E, Nguyen NT, 'Editorial: Applied intelligent systems', Cybernetics and Systems, 40 65-67 (2009) [C3]
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Nova |
2009 |
Maldonado Sanin CA, Szczerbicki E, 'Experience-based knowledge representation: SOEKS', Cybernetics and Systems, 40 99-122 (2009) [C1]
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Nova |
2009 |
Maldonado Sanin CA, Szczerbicki E, 'Implementing decisional trust: A first approach for smart reliable systems', Cybernetics and Systems, 40 85-98 (2009) [C1]
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Nova |
2009 |
Szczerbicki E, Nguyen NT, 'Editorial: Applied intelligence and knowledge-based systems: Challenges, approaches, and case studies - Part 1', Cybernetics and Systems, 40 653-656 (2009) [C3]
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Nova |
2008 |
Maldonado Sanin CA, Szczerbicki E, 'Toward decisional DNA: Developing holistic set of experience knowledge structure', Foundations of Control and Management Sciences, - 109-122 (2008) [C2]
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Nova |
2008 |
Szczerbicki E, Orlowski C, Kowalczuk Z, 'Information technology and knowledge management: A predestined integration: Part 1', Foundations of Control and Management Sciences, 5-6 (2008) [C3] |
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Nova |
2008 |
Szczerbicki E, 'Smart systems integration: Toward overcoming the problem of complexity', Cybernetics and Systems, 39 190-198 (2008)
Information is seen as one of the main resources that systems analysts try to use in an optimal way. In this short article, we show how this resource can be used in integration is... [more]
Information is seen as one of the main resources that systems analysts try to use in an optimal way. In this short article, we show how this resource can be used in integration issues. We introduce the problem of information-based integration, propose a solution, and discuss briefly future trends in this area.
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2008 |
Szczerbicki E, 'Smart future of knowledge management', Cybernetics and Systems, 39 109-112 (2008)
Knowledge management, which covers knowledge acquisition, representation, storage, and usage, is one one of the most important smart use of information to enter into knowledge bas... [more]
Knowledge management, which covers knowledge acquisition, representation, storage, and usage, is one one of the most important smart use of information to enter into knowledge based society. The ability of the society to manage the existing knowledge base has become the benchmark by which the forward movement and expansion of knowledge horizons can be possible. Acquisition of the knowledge from efficient transformation of information, can mean the difference between success and failure for any company in the competitive environment of the global economy and knowledge society. The ability of the transformation of the information into knowledge, and then to use it in the decision making process, contributes in a substantial way to intelligent enterprises, known as the ability of a company to act appropriately in uncertain environments.
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2008 |
Szczerbicki E, Nguyen NT, 'Editorial: Information and knowledge engineering for intelligent systems-part II', Cybernetics and Systems, 39 669-671 (2008)
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2008 |
Szczerbicki E, Nguyen NT, 'Editorial: Information and knowledge engineering for intelligent systems - Part I', Cybernetics and Systems, 39 539-541 (2008)
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2008 |
Toro C, Maldonado Sanin CA, Szczerbicki E, Posada J, 'Reflexive ontologies: Enhancing ontologies with self-contained queries', Cybernetics and Systems, 39 171-189 (2008) [C1]
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Nova |
2008 |
Maldonado Sanin CA, Szczerbicki E, Toro C, 'Combining technologies to achieve decisional trust', Cybernetics and Systems, 39 743-752 (2008) [C1]
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2007 |
Maldonado Sanin CA, Szczerbicki E, Toro C, 'An OWL ontology of set of experience knowledge structure', Journal of Universal Computer Science, 13 209-223 (2007) [C1]
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2007 |
Szczerbicki E, 'Knowledge based systems and knowledge society: Problems, issues, challenges', Systems Science, 33 5 (2007) |
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2007 |
Szczerbicki E, 'Editorial: Knowledge management and ontologies - Part I', Cybernetics and Systems, 38 451-453 (2007)
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2007 |
Szczerbicki E, 'Editorial: Knowledge management and ontologies - Part II', Cybernetics and Systems, 38 755-757 (2007)
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2007 |
Maldonado Sanin CA, Toro C, Vaquero J, Szczerbicki E, Posada J, 'Implementing decisional DNA in industrial maintenance by a knowledge soupa extension', Systems Science, 33 61-68 (2007) [C1]
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2007 |
Maldonado Sanin CA, Szczerbicki E, 'Dissimilar sets of experience knowledge structure: A negotiation process for decisional DNA', Cybernetics and Systems, 38 455-473 (2007) [C1]
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2007 |
Maldonado Sanin CA, Szczerbicki E, 'Genetic algorithms for decisional DNA: Solving sets of experience knowledge structure', Cybernetics and Systems, 38 475-494 (2007) [C1]
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2007 |
Maldonado Sanin CA, Szczerbicki E, 'Towards the construction of decisional DNA: A set of experience knowledge structure java class within an ontology system', Cybernetics and Systems, 38 859-878 (2007) [C1]
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2006 |
Szczerbicki E, Waszczyk M, 'Modelling of Complex Economic Systems: Toward Conceptual Platform', International Journal of Enterprise Information Systems, 2, No.1 67-78 (2006) [C1]
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Nova |
2006 |
Maldonado Sanin CA, Szczerbicki E, 'Using Set of Experience in the Process of Transforming Information into Knowledge', International Journal of Enterprise Information Systems, 2, No.2 45-62 (2006) [C1]
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Nova |
2006 |
Szczerbicki E, 'Information and knowledge management: Advances, approaches, challenges, and critical issues', Cybernetics and Systems, 37 93-95 (2006)
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2006 |
Szczerbicki E, 'Intelligent information, knowledge, and technology management', Cybernetics and Systems, 37 505-508 (2006)
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2006 |
Szczerbicki E, 'A knowledge base for intelligent information management', Cybernetics and Systems, 37 673-683 (2006)
Systems become increasingly complex. Their decomposition into smaller units is the usual way to overcome the problem of complexity. This has historically led to the development of... [more]
Systems become increasingly complex. Their decomposition into smaller units is the usual way to overcome the problem of complexity. This has historically led to the development of atomized structures consisting of a limited number of autonomous subsystems that decide about their own information input and output requirements, i.e., they can be characterized by what is called an information closure. Autonomous subsystems still can be interrelated and embedded in larger systems, as autonomy and independence are not equivalent concepts. These ideas are gaining a very strong interest in both academia and industry, and the atomized approach to information flow modeling and evaluation is an idea whose time has certainly come. This presentation discusses some modeling and evaluation issues, and challenges existing in the exciting area of knowledge capture for information flow-management support for autonomous subsystems.
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2006 |
Maldonado Sanin CA, Szczerbicki E, 'Extending set of experience knowledge structure into a transportable of language extensible markup language', Cybernetics and Systems, 37 97-117 (2006) [C1]
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2006 |
Maldonado Sanin CA, Szczerbicki E, 'Developing heterogeneous similarity metrics for knowledge administration', Cybernetics and Systems, 37 553-565 (2006) [C1]
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Nova |
2005 |
Maldonado Sanin CA, Szczerbicki E, 'Set of experience: a knowledge structure for formal decision events', Foundations of Control and Management Sciences, 3 95-113 (2005) [C1]
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2005 |
Szczerbicki E, Latos M, 'Managing knowledge in the new society', Foundations of Control and Management Sciences, 3 115-136 (2005) [C1] |
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2004 |
Szczerbicki E, 'Guest editorial', Cybernetics and Systems, 35 425-429 (2004)
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2004 |
Szczerbicki E, 'Guest editorial systems modeling and simulation for environmental management', Cybernetics and Systems, 35 575-577 (2004)
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2004 |
Szczerbicki E, 'Integration platform for multi-agent systems in information-rich environments', Cybernetics and Systems, 35 523-534 (2004) [C1]
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Nova |
2004 |
Szczerbicki E, Waszczyk M, 'Descriptive modelling of virtual transactions', Cybernetics and Systems, 35 559-573 (2004) [C1]
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2004 |
Szczerbicki E, Drinkwater MC, 'Concurrent engineering design for environment', Cybernetics and Systems: An International Journal, 35 667-681 (2004) [C1]
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2003 |
Szczerbicki E, Orlowski C, 'Qualitative and quantitative mechanisms in managing it projects in concurrent engineering environment', Systems Analysis Modelling Simulation, 43 219-230 (2003) [C1]
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2002 |
Reidsema CA, Szczerbicki E, 'Review of intelligent software architectures for the development of an intelligent decision support system for desgin process planning in concurrent engineering', Cybernetics and Systems, 33 629-658 (2002) [C1]
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2002 |
Szczerbicki E, 'Editorial: Special issue on soft computing and intelligent systems for industry. Volume 1: Advances in soft modeling techniques and decision support', Cybernetics and Systems, 33 293-296 (2002) [C3] |
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2002 |
Orlowski C, Szczerbicki E, 'Evaluation of Information Technology Projects', Cybernetics and Systems, 33 659-673 (2002) [C1]
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2002 |
Szczerbicki E, Byrne D, 'Conceptual system development in a concurrent environment', Systems Analysis Modelling Simulation, 42 103-133 (2002) [C1]
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2002 |
Szczerbicki E, 'Intellingent Integratin for Autonomous Manufacturing Systems', International Journal of Knowledge-Based Intelligent Engineering Systems, 6 214-219 (2002) [C1] |
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2002 |
Szczerbicki E, 'Special issue on soft computing and intelligent systems for industry; Volume I: Advances in soft modeling techniques and decision support - Editorial', Cybernetics and Systems, 33 293-296 (2002)
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2002 |
Szczerbicki E, 'Special issue on soft computing and intelligent systems for industry. Volume II: Applications of soft modeling and intelligent techniques', Cybernetics and Systems, 33 539-541 (2002)
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2001 |
Szczerbicki E, Williams J, 'Developing Agile Manufacturing Strategy with Awesim Simulation Platform', Cybernetics and Systems, 32 719-736 (2001) [C1]
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2001 |
Reidsema CA, Szczerbicki E, 'A Blackboard Database Model of the Design Planning Process in Concurrent Engineering', Cybernetics and Systems, 32 755-774 (2001) [C1]
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2001 |
Szczerbicki E, 'Intelligent Enterprise Management', Cybernetics and Systems, 32 697-699 (2001) [C3]
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2001 |
Szczerbicki E, Charleton G, 'System Modelling and Simulation for a Coal Mine', Systems Analysis Modelling and Simulation, 40 111-123 (2001) [C1]
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2000 |
Szczerbicki E, 'Simulation modelling for complex production systems', Cybernetics and Systems: An International Jurnal, 31 333-351 (2000) [C1]
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2000 |
Szczerbicki E, Jinadasa P, 'Modelling for performance evaluation in complex systems', Systems Analysios Modelling Simulation, 38 637-649 (2000) [C1]
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2000 |
Szczerbicki E, Kubiak BF, Korowicki A, 'Re-engineering and information management issues in concurrent systems analysis for performance enhancement', Systems Analysis Modelling Simulation, 38 141-155 (2000) [C1] |
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2000 |
Murakami R, Szczerbicki E, 'Simulation-based decision support platform for steel processing', Systems Analysis Modelling Simulation, 39 461-478 (2000) [C1]
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2000 |
Szczerbicki E, 'Editorial specialissue on intelligent methods for performance enhancement in industrial systems volume I: Soft modelling and simulation tools for decision support', Cybernetics and Systems, 31 223-226 (2000)
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2000 |
Szczerbicki E, 'Editorial for special issue on intelligent methods for performance enhancement in industrial systems. Volume II: Intelligent systems development - Tools and methodologies', Cybernetics and Systems, 31 465-468 (2000)
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1999 |
Charlton G, Szczerbicki E, 'Simulation for performance enhancement of systems: case study of an open-cut coal mine operation', International Journal of Systems Science, 30 417-426 (1999) [C1]
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1999 |
Szczerbicki E, White W, 'Slamsystem simulation environment as a decision support platform for condition monitoring service', Systems Analysis-Modelling-Simulation, 36 87-100 (1999) [C1] |
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1999 |
Burns T, Szczerbicki E, 'Concurrent approach to systems engineering and analysis', Systems Analysis-Modelling-Simulation, 35 215-238 (1999) [C1] |
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1998 |
Szczerbicki E, 'Special issue on intelligent modeling and simulation for complex systems. Volume I: Modeling and application issues for distributed discrete-event systems', CYBERNETICS AND SYSTEMS, 29 421-423 (1998) |
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1998 |
Szczerbicki E, 'Editorial for special issue on intelligent modelling and simulation for complex systems, volume ii: Intelligent modelling tools', Cybernetics and Systems, 29 635-637 (1998)
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1998 |
Reidsema CA, Szczerbicki E, 'Blackboard Approach in Design Planning for Concurrent Engineering Environment', Cybernetics and Systems: An International Journal, 29 729-759 (1998) [C1]
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1998 |
Szczerbicki E, White W, 'System Modelling and Simulation for Predictive Management', Cybernetics and Systems: An International Journal, 29 481-498 (1998) [C1]
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1998 |
Szcerbicki E, 'Editorial', Cybernetics and Systems, 29 421-423 (1998)
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1997 |
Burns TW, Szczerbicki E, 'Implementing concurrent engineering: Case studies from Eastern Australia', CONCURRENT ENGINEERING-RESEARCH AND APPLICATIONS, 5 163-170 (1997)
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1997 |
Szczerbicki E, 'Cost-constrained planning for concurrency satisfaction', INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 28 83-89 (1997)
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1997 |
Gomolka Z, Szczerbicki E, 'Cybernetics of goal-seeking agents: Conceptual model', Systems Analysis Modelling Simulation, 27 227-239 (1997)
The paper is concerned with autonomous agents competing among each other in a business setting in dynamic environment. Agents represent, in the most general way, businesses or com... [more]
The paper is concerned with autonomous agents competing among each other in a business setting in dynamic environment. Agents represent, in the most general way, businesses or companies characterized by three control parameters: process intensity, quality, and cost. The conceptual framework of a mathematical model based on pareto-optimality is presented that captures the relationship between the above parameters and describes the dynamics of agent's environment modelled as autoregressive process of the second order.
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1997 |
Szczerbicki E, 'Planning for concurrent multiagent systems', Systems Analysis Modelling Simulation, 29 71-83 (1997)
Concurrency is influenced by various agents, such as manufacturing agent, marketing, economic, design agent, etc. Concurrency set is a collection of attributes (manufacturability,... [more]
Concurrency is influenced by various agents, such as manufacturing agent, marketing, economic, design agent, etc. Concurrency set is a collection of attributes (manufacturability, serviceability, etc.) necessary to achieve concurrency. This paper discusses an approach to plan an optimal policy to expand concurrency sets in such a way that the desired concurrency level is confidently addressed by a designer during the design process undertaken in a concurrent environment. The presented approach is based on deduction graphs and the optimal concurrency plan is arrived at by applying a 0-1 integer programming technique.
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1997 |
Szczerbicki E, 'Multilevel concurrency satisfaction', Systems Analysis Modelling Simulation, 29 151-161 (1997)
Modelling of multilevel decisionmaking with imprecision can be applied to many different areas. In this paper it is proposed as a support tool in the field of concurrent engineeri... [more]
Modelling of multilevel decisionmaking with imprecision can be applied to many different areas. In this paper it is proposed as a support tool in the field of concurrent engineering for the problem of concurrency satisfaction. The underlying conceptual model belongs to the class of deduction graphs in graph theory for which a theoretical framework exists. Concurrency is satisfied by a design team and is influenced by various agents, such as manufacturing agent, marketing, economic, maintenance agent, etc. Concurrency set is a collection of attributes (manufacturability, serviceability, etc.) necessary to achieve concurrency. This paper discusses an approach to plan an optimal policy to expand concurrency sets in situations where some attributes can be defined by different levels of acceptance. The ideas presented are illustrated with examples.
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1997 |
Szczerbicki E, 'Qualitative support for knowledge retrieval for autonomous agents', CYBERNETICS AND SYSTEMS, 28 59-77 (1997)
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1997 |
Reidsema C, Szczerbicki E, 'Multi-agent systems for concurrent engineering', Systems Analysis Modelling Simulation, 28 257-279 (1997)
Concurrent engineering is gaining strong interest in industry. It can achieve what traditional engineering systems cannot: reduction in time and money needed for product design an... [more]
Concurrent engineering is gaining strong interest in industry. It can achieve what traditional engineering systems cannot: reduction in time and money needed for product design and manufacture. However, the concurrent strategy that considers a number of different life-cycle attributes might increase the complexity of the design process and make it more difficult to plan and manage. This paper proposes a methodology for the use of a multi-agent distributed system as the core logic in developing a planning system for a concurrent product design environment. It discusses both a framework and multi-agent architectural model necessary to implement a workable multi-agent system for product development.
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1997 |
Reidsema C, Szczerbicki E, 'Towards a system for design planning in a concurrent engineering environment', Systems Analysis Modelling Simulation, 29 301-320 (1997)
In concurrent engineering (CE), an attempt is made to perform design activities simultaneously rather than in series as in the case of traditional design processes. The theoretica... [more]
In concurrent engineering (CE), an attempt is made to perform design activities simultaneously rather than in series as in the case of traditional design processes. The theoretical benefits of this concurrent approach are a reduction of the duration of the design project, cost savings, and better quality of the final design. Practical implementations of CE in industry indicate that successfully managing the CE design process to achieve these goals will require advanced techniques and tools. A framework for a multiagent distributed system that supports analysis, planning and scheduling in order to provide coordination and control of the design process in a CE design environment is proposed. The ultimate goal of the envisaged framework is to provide engineering management with a design process planning software application which utilizes multiagent distributed systems (MADS) integrated to other knowledge sources (agents) by means of a blackboard-based architecture.
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1996 |
Szczerbicki E, 'Decision trees and neural networks for reasoning and knowledge acquisition for autonomous agents', INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 27 233-239 (1996)
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1996 |
Szczerbicki E, 'Signed directed graphs and reasoning for agents and multi-agent systems', INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 27 1009-1015 (1996)
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1996 |
Szczerbicki E, 'External environment of an autonomous manufacturing agent: Dynamics and representation', INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 27 1211-1218 (1996)
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1996 |
Szczerbicki E, 'Modelling and simulation for autonomous manufacturing agents: petri net perspective', Systems Analysis Modelling Simulation, 22 279-289 (1996)
This paper introduces Petri nets as a modelling and simulation tool for the performance analysis of components (agents) of a manufacturing system. Manufacturing agents are charact... [more]
This paper introduces Petri nets as a modelling and simulation tool for the performance analysis of components (agents) of a manufacturing system. Manufacturing agents are characterized by concurrent and asynchronous events taking place in dynamic environment. Petri nets are well suited for modelling of such agents because they capture the precedence relations for these events. Other techniques like linear programming, scheduling, SLAM II simulation system, analytical models, queuing theory, MANUPLAN modelling, and/or neural networks could also be used for the above analysis. Petri net, however, is a tool with the highest level of flexibility, enables rapid modelling development, has detailed modelling capabilities, and fast execution. An illustrative example of analysis included in the paper shows that Petri net provides detailed information on system states and dynamics, as well as performance measures.
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1996 |
Szczerbicki E, 'Informational balance of an autonomous agent - perspective of qualitative analysis approach', Systems Analysis Modelling Simulation, 22 145-157 (1996)
Autonomous manufacturing agents consist of components (people, machines) tied by the flow of information. Such an information flow defines an information structure for an agent (a... [more]
Autonomous manufacturing agents consist of components (people, machines) tied by the flow of information. Such an information flow defines an information structure for an agent (acquisition and exchange of information). Information structure differs in different types of external and internal environments. For dynamic environments the effects of the delay of information form a very important issue that has not yet been solved in practice. This issue matches very frequent real-life situations in which the following should be answered: 'What is better, complete information but heavily delayed or incomplete information less delayed?' A mathematical model can be used to describe an information flow, the resulting information structure, and informational balance (amount of information vs. delay of information) in dynamic environments. However, analysis and evaluation of an information flow based on mathematical model is difficult because of its substantial complexity. Qualitative reasoning methods are discussed and qualitative approach is proposed to ease the task of balancing informational needs of an agent.
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1995 |
Vujosevic R, Kusiak A, Szczerbicki E, 'Reason maintenance in product modeling', Journal of engineering for industry, 117 223-231 (1995)
An approach to product modeling by using a reason maintenance system to reduce the amount of search required for the identification of feasible designs is described. An assumption... [more]
An approach to product modeling by using a reason maintenance system to reduce the amount of search required for the identification of feasible designs is described. An assumption-based truth maintenance system and multiple worlds are used to discover and store information about feasible designs and to avoid further consideration of infeasible design alternatives. An object-oriented computer program for product modeling is presented.
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1995 |
Vujosevic R, Kusiak A, Szczerbicki E, 'Reason maintenance in product modeling', Journal of Manufacturing Science and Engineering, Transactions of the ASME, 117 223-231 (1995)
An approach to product modeling by using a reason maintenance system to reduce the amount of search required for the identification of feasibledesigns is described. An assumption-... [more]
An approach to product modeling by using a reason maintenance system to reduce the amount of search required for the identification of feasibledesigns is described. An assumption-based truth maintenance system and multiple worlds are used to discover and store information about feasible designsand to avoid further consideration of infeasible design alternatives. An object-oriented computer program for product modeling is presented. © 1995 ASME.
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1994 |
Szczerbicki E, 'Model-based generation of knowledge for autonomous systems', International Journal of Systems Science, 25 453-472 (1994)
In an organizational and behavioural context, autonomous systems consist of groups of people tied by the flow of information between a group and its external environment as well a... [more]
In an organizational and behavioural context, autonomous systems consist of groups of people tied by the flow of information between a group and its external environment as well as within a group. A mathematical model is used to evaluate such an information flow. The evaluation is performed for different types of external and internal environments. Two major cases are taken into account, i.e. static and dynamic processes describing the external environment. Such issues as the role of correlation and interaction, and the losses caused by incomplete and delayed information are addressed. The results of the model-based evaluation of an information flow in different decision situations are formulated as IF ¿ AND ¿ THEN rules that provide some useful knowledge about functioning of autonomous groups. Generation of such knowledge is an important factor in successful implementation of some ideas related to atomized organizations. The concepts included in the model are illustrated with an example providing interpretation and relationship with real situations. © 1994 Taylor & Francis Group, LLC.
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1993 |
Szczerbicki E, 'Acquisition of Knowledge for Autonomous Cooperating Agents', IEEE Transactions on Systems, Man and Cybernetics, 23 1302-1315 (1993)
In an organizational context autonomous agents consist of groups of people, machines, robots, and/or guided vehicles tied by the flow of information between an agent and its exter... [more]
In an organizational context autonomous agents consist of groups of people, machines, robots, and/or guided vehicles tied by the flow of information between an agent and its external environment as well as within an agent. Mathematical modeling is used to evaluate such an information flow. The evaluation of an information flow is performed for different types of external and internal environments. Two major cases are taken into account, i.e., static and dynamic processes describing the external environment. Such issues as the role of correlation as well as interaction and the losses caused by incomplete and delayed information are addressed. Only actions that are described by real numbers and utility functions that are twice differentiable are considered. The results of the model-based evaluation of an information flow in different decision situations are formulated as IF ¿ AND ¿ THEN rules that provide some useful knowledge about autonomous agents functioning. Generation of such knowledge is an important factor in successful implementation of ideas related to atomized organizations and provides a bridge into the distributed systems and artificial intelligence (AI) communities. To support the development of such a bridge, an approach is suggested that combines knowledge expressed by traditional IF ¿ THEN rules with machine learning technique based on the training of a neural network. A three-layer neural configuration is used. It is demonstrated that the use of networks shows promise as a tool for the development of information structure for autonomous agents. The concepts included in the paper are illustrated with examples providing interpretation and relation to real situations. © 1993 IEEE
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1993 |
Szczerbicki E, 'Modelling and identification of manufacturing systems: Decomposition stage', International Journal of Systems Science, 24 1509-1518 (1993)
The environment of the manufacturing systems designer who at the early design stage is preoccupied with modelling and identification processes, is increasing in complexity. To dea... [more]
The environment of the manufacturing systems designer who at the early design stage is preoccupied with modelling and identification processes, is increasing in complexity. To deal with this complexity, systems analysts need to he supported in a number of areas and stages of their activities. This paper looks at the early stage of such activities that concerns decomposition of tasks and functions identifying a manufacturing system. Decomposition occurs at the highest level of abstraction and it must provide enough information for the lower level design stages where manufacturing functions are transformed into manufacturing agents that are further integrated through the flow of information into the informational model of the overall system. The proposed approach includes incorporation of logic into functional space and some elements of optimization in this space. The methodology presented is illustrated with examples. © 1993 Taylor & Francis Group, LLC.
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1993 |
Szczerbicki E, Szczerbicki E, 'Rule-based integration of autonomous multi-agent systems', International Journal of Systems Science, 24 2117-2134 (1993)
A three stage approach to the development of multi-agent systems is proposed involving functional decomposition, agent representation, and information flow integration. The inform... [more]
A three stage approach to the development of multi-agent systems is proposed involving functional decomposition, agent representation, and information flow integration. The information flow integration stage is discussed in detail. A rule-based agent integration for construction of autonomous subsystems and systems useful in integrated manufacturing is presented. The approach formalizes the integration process that a system analyst solves in an ad hoc manner. The approach presented facilitates the discovery of new integrated manufacturing solutions. It involves generation of a set of autonomous agents for building an overall system. Hierarchically structured subsystems are developed at different levels of abstraction that parallel the approach used by an expert system analyst. The implementation of an integration process in an object-oriented programming environment is also suggested. © 1993 Taylor & Francis Group, LLC.
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1993 |
Szczerbicki E, Szczerbicki E, 'Functioning of autonomous groups: The role of delayed information', International Journal of Systems Science, 24 1275-1284 (1993)
Some elements of the systems approach to the analysis of an information flow in a dynamic environment are proposed. The resulting control system is designed to enable a manager to... [more]
Some elements of the systems approach to the analysis of an information flow in a dynamic environment are proposed. The resulting control system is designed to enable a manager to structure an information exchange taking into account the effects of delay. It matches very frequent real-life situations in which the following should be answered: ¿What is better, complete information but heavily delayed or incomplete information less delayed?¿ The paper is primarily concerned with the mathematical representation of the functioning of autonomous groups, i.e. groups which themselves determine information requirements, flow and processing. Emphasis is placed on the role of delay in an evaluation of information flow. © 1993 Taylor & Francis Group, LLC.
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1993 |
Kusiak A, Szczerbicki E, 'Transformation from conceptual to embodiment design', IIE Transactions (Institute of Industrial Engineers), 25 6-12 (1993)
In the paper, a graph-theoretic approach for transformation from conceptual design to embodiment design is developed. An adjacency matrix corresponding to a digraph representing t... [more]
In the paper, a graph-theoretic approach for transformation from conceptual design to embodiment design is developed. An adjacency matrix corresponding to a digraph representing the flow of energy in the designed object provides an input to the algorithm. The algorithm generates clusters that are useful in design of a physical layout of the designed object. The concepts introduced in the paper are illustrated with examples. © 1993 ¿IIE¿.
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1992 |
Szczerbicki E, 'Design of an atomized organization structure: A graph-theoretic approach', International Journal of Systems Science, 23 109-118 (1992)
Organizations that are divided into a certain number of groups are said to have an atomized structure. Group approach to organization is recently gaining popularity. There are a n... [more]
Organizations that are divided into a certain number of groups are said to have an atomized structure. Group approach to organization is recently gaining popularity. There are a number of techniques that can be used to study and develop mathematical models of group functioning. This technique originates from what is called cybernetic design of organization and they are based on the systems approach, mathematical modelling and simulation. The tools developed so far, however, are applied to the groups that have already been denned as parts of a larger organization. What is still needed is a technique upon which the decision concerning creation of groups may be based. The intent of this paper is to propose a graph-based approach for atomized organization structure development. The depth-first search algorithm versus matrix based technique is discussed. It is shown that the group retrieval process may be carried out using easily programmable operations on an adjacency matrix. © 1992 Taylor & Francis Group, LLC.
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1992 |
Kusiak A, Szczerbicki E, 'A formal approach to specifications in conceptual design', Journal of Mechanical Design, Transactions of the ASME, 114 659-666 (1992)
In this paper, a methodology for the specification stage in conceptual design is presented. The specification stage provides requirements and transforms them into functions of the... [more]
In this paper, a methodology for the specification stage in conceptual design is presented. The specification stage provides requirements and transforms them into functions of the designed object. It occurs at the highest level of abstraction and it must provide enough information for the synthesis process where functions are transformed into design components that are further synthesized into the designed object. The proposed approach includes the following issues: specification of requirements, specification of functions, incorporation of logic into functional and requirement trees, representation of requirements-functions interaction, and optimization in the functional space. The methodology presented is illustrated with examples. Key words: design requirements, design specifications, conceptual design, design process, artificial intelligence, formal method. © 1992 by ASME.
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1991 |
Szczerbicki E, 'Information Flow Evaluation in Autonomous Groups Functioning', IEEE Transactions on Systems, Man and Cybernetics, 21 402-408 (1991)
An attempt is made to show how mathematical tools can be used in the analysis of an information flow in autonomous groups functioning. The presented analysis is descriptive in nat... [more]
An attempt is made to show how mathematical tools can be used in the analysis of an information flow in autonomous groups functioning. The presented analysis is descriptive in nature and provides useful if ¿ then ¿ rules that can be used to support the process of structuring an information flow between a group and its external environment as well as information exchange within a group. © 1991 IEEE
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1991 |
Kusiak A, Szczerbicki E, Park K, 'A novel approach to decomposition of design specifications and search for solutions', International Journal of Production Research, 29 1391-1406 (1991)
In this paper, design specifications are represented with an AND/OR tree. The logical tree allows for representation of alternative solutions in the process of formulating design ... [more]
In this paper, design specifications are represented with an AND/OR tree. The logical tree allows for representation of alternative solutions in the process of formulating design specifications. Various approaches for search of the logical tree are discussed. A generalized search that is based on a set of production rules is used for decomposition of requirements and functions as well as matching the requirements with functions. © 1991 Taylor & Francis Group, LLC.
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1991 |
Kusiak A, Szczerbicki E, Vujosevic R, 'Intelligent design synthesis: An object-oriented approach', International Journal of Production Research, 29 1291-1308 (1991)
Conceptual design is a process of converting design requirements into an acceptable design solution. An object-oriented system for conceptual design is presented. The process of c... [more]
Conceptual design is a process of converting design requirements into an acceptable design solution. An object-oriented system for conceptual design is presented. The process of component synthesis is guided by production rules. An object-oriented programming paradigm is chosen since it simulates the designer's way of thinking during conceptual design. The system is implemented in Smalltalk-80 programming language and environment. Besides providing all the characteristics of an object-oriented language, Smalltalk-80 allows for development of highly user-friendly interfaces. The design synthesis process is presented using a graphical and textual description. © 1991 Taylor & Francis Group, LLC.
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1991 |
Szczerbicki E, 'Structuring an information flow for autonomous systems', International Journal of Systems Science, 22 2599-2609 (1991)
Currently we are witnessing a substantial diffusion of mathematical modelling methods from the so-called hard sciences to the socio-economic and life sciences. The general thesis ... [more]
Currently we are witnessing a substantial diffusion of mathematical modelling methods from the so-called hard sciences to the socio-economic and life sciences. The general thesis that more mathematical modelling is appropriate for the study of organization is shared by many authors. In this paper an attempt has been made to show how mathematical tools can be used in the analysis of an information flow in the functioning of autonomous groups. Such analysis helps us to understand the role of certain parameters describing group external and internal environments in an information flow evaluation. The analysts presented is descriptive in nature and provides some useful IF ¿THEN ¿ rules describing group functioning in various decision situations. The rules obtained are in conformity with our intuition, they account for some facts observed in real life, and can be used to support decision-making in the process of structuring an information flow between a group and its external environment, as well as information exchange within a group (between group members). An illustrative example is included to demonstrate the relation between the concepts presented and real situations. © 1991 Taylor & Francis Group, LLC.
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1991 |
Kusiak A, Szczerbicki E, 'Evalcon: A system for evaluation of concurrency in engineering design 173-219 (1991)
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1990 |
Szczerbicki E, 'Autonomous group functioning: The role of correlation and interaction', International Journal of Systems Science, 21 2037-2047 (1990)
In mathematical models representing economic, industrial, social, and behavioural phenomena, the representation of the prototypes is less reliabie and accurate than in the so-call... [more]
In mathematical models representing economic, industrial, social, and behavioural phenomena, the representation of the prototypes is less reliabie and accurate than in the so-called hard sciences. The uses of models in this area are also entirely different; they are created and used mainly to gain some understanding of the prototype. Such a prototype is analysed in this paper, which is primarily concerned with the mathematical representation of the functioning of autonomous groups, i.e. groups which themselves determine information requirements, flow, and processing. Emphasis is placed on the role of correlation (describing the group¿s external environment) and interaction (describing the group¿s internal environment) in an evaluation of information flow. © 1990 Taylor & Francis Group, LLC.
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1989 |
Szczerbicki E, 'Control of technologically based groups functioning: A conceptual approach', Advances in modelling & simulation, 16 51-64 (1989)
The required level of interaction and flexibility in almost any organization in a technological environment can be achieved by designing and creating its structure based on a syst... [more]
The required level of interaction and flexibility in almost any organization in a technological environment can be achieved by designing and creating its structure based on a systems approach. The ideas and features of such an approach certainly look attractive but only in a few cases they have been successfully implemented. One of the reasons is the difficulty with organizing a control process. We will introduce the concept of control based on sensoring the value of the formation structure and its losses due to information delay and incompleteness. For the sake of simplicity a technologically based group, which is a subsystem of an organization, has been chosen. We will discuss the systems approach in modelling group functioning.
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1986 |
Szczerbicki E, Szuwarzynski A, 'APPLICATION OF MULTIPLE REGRESSION METHOD TO PREDICTION OF OCTAVE BAND NOISE LEVELS IN SHIP ACCOMMODATION SPACES.', International Shipbuilding Progress, 33 78-83 (1986)
In the paper the final stage of the investigation leading to the predicting method of octave band noise levels is presented. The method is based on the statistical multiple regres... [more]
In the paper the final stage of the investigation leading to the predicting method of octave band noise levels is presented. The method is based on the statistical multiple regression theory. The results of this method correspond with the measurement results and its accuracy is comparable with other equivalent methods of prediction of octave band noise levels.
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1983 |
Szczerbicki E, Szuwarzynski A, 'APPLICATION OF MULTIPLE REGRESSION METHOD TO PREDICTION OF A-WEIGHTED NOISE LEVELS IN SHIP ACCOMMODATION SPACES.', International Shipbuilding Progress, 30 80-84 (1983)
In about one third of accommodation spaces in ships the required noise level is exceeded. Building of the 'quiet' ship requires applying prediction methods at a very ear... [more]
In about one third of accommodation spaces in ships the required noise level is exceeded. Building of the 'quiet' ship requires applying prediction methods at a very early design stage. In this paper a new approach to prediction of A-weighted noise levels and octave band noise levels, based on the statistical multiple regression theory is proposed. The results of this method correspond with the measurement results and the accuracy of this method is comparable with other equivalent methods of prediction of A-weighted noise levels.
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1983 |
Szczerbicki E, Szuwarzynski A, 'PREDICTION OF OCTAVE NOISE SPECTRA IN ACCOMODATIONS IN THE SUPERSTRUCTURE OF A SHIP.', Archives of Acoustics, 8 119-130 (1983)
Results of the second stage of investigations aimed at the development of an effective method for predicting noise levels in accomodations in the superstructure of ships are prese... [more]
Results of the second stage of investigations aimed at the development of an effective method for predicting noise levels in accomodations in the superstructure of ships are presented. The present procedure is based on a statistical model of multiple regression and uses standard results of noise measurements on board ships. It permits prediction of noise levels in 6 octave bands over the frequency range 63-2000 Hz, with an accuracy comparable to those of the equivalent foreign methods.
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