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23rd International Conference on Intelligent Systems Design and Applications, ISDA 2023

作者： Hosseinabadi, Ali Asghar Rahmani Mirkamali, Seyedsaeid Hajiabadi, Mahdi Rohani Abraham, Ajith Department of Computer Science University of Regina Regina Canada Department of Computer Engineering and IT Payame Noor University Tehran Iran Faculty of Computer and Information Technology Engineering Islamic Azad University Qazvin Qazvin Iran School of Computer Science Engineering and Technology Bennett University Uttar Pradesh Greater Noida India

ISBN: (纸本)9783031647758

Optimal energy consumption in Wireless Sensor Networks (WSNs) is important. Previous research has shown that by organizing network nodes into a number of clusters, one can achieve greater energy efficiency leading to longer network life. The WSN is made up of a very large number of sensor nodes that communicate with each other to perform specific tasks. These nodes have limited energy, processing power, and memory. Because the lifetime of the network depends on the brightness of the nodes, the energy consumption of each node is very important. Therefore, we need to find solutions to reduce the energy consumption of the nodes. One way to reduce energy consumption is clustering, many algorithms have been introduced in this field. In this paper, we optimize Particle Swarm Optimization (PSO) algorithm based on fuzzy logic and PSO algorithm. The fitting criterion will be based on the minimum energy consumed by the nodes of the network during each operation period, It leads to a balance in the energy consumption of the headers and, as a consequence, a lengthening of the life of the network. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Fuzzy logic

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Deep Learning Approach for Analysis and Characterization of COVID-19

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computers, Materials & Continua 2022年第1期70卷 451-468页

作者： Indrajeet Kumar Sultan S.Alshamrani Abhishek Kumar Jyoti Rawat Kamred Udham Singh Mamoon Rashid Ahmed Saeed AlGhamdi School of Computing Graphic Era Hill UniversityDehradun(UK)India Department of Information Technology College of Computer and Information TechnologyTaif UniversityTaif21944Saudi Arabia School of Computer Science&IT JAIN(to be Deemed University)BangaloreIndia School of Computing Dehradun Institute of TechnologyUttarakhandIndia Department of Computer Engineering Faculty of Science and TechnologyVishwakarma UniversityPuneIndia Department of Computer Engineering College of Computer and Information TechnologyTaif UniversityTaif21944Saudi Arabia

Early diagnosis of a pandemic disease like COVID-19 can help deal with a dire situation and help radiologists and other experts manage human resources more *** a recent pandemic,laboratories perform diagnostics manually,which requires a lot of time and expertise of the laboratorial technicians to yield accurate ***,the cost of kits is high,and well-equipped labs are needed to perform this ***,other means of diagnosis is highly *** is one of the existing methods that finds its use in the diagnosis of *** radiography observes change in Computed Tomography(CT)chest images of patients,developing a deep learning-based method to extract graphical features which are used for automated diagnosis of the disease ahead of laboratory-based *** proposed work suggests an Artificial Intelligence(AI)based technique for rapid diagnosis of COVID-19 from given volumetric chest CT images of patients by extracting its visual features and then using these features in the deep learning *** proposed convolutional neural network aims to classify the infectious and non-infectious SARS-COV2 *** proposed network utilizes 746 chests scanned CT images of 349 images belonging to COVID-19 positive cases,while 397 belong to negative cases of *** experiment resulted in an accuracy of 98.4%,sensitivity of 98.5%,specificity of 98.3%,precision of 97.1%,and F1-score of 97.8%.The additional parameters of classification error,mean absolute error(MAE),root-mean-square error(RMSE),and Matthew’s correlation coefficient(MCC)are used to evaluate our proposed *** obtained result shows the outstanding performance for the classification of infectious and non-infectious for COVID-19 cases.

关键词： Coronavirus covid-19 respiratory infection computed tomography deep neural network

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RS485 Network Design and Maintenance in Food Processing Industry: A Winery Application 1

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32nd International Conference on Organization and technology of Maintenance, OTO 2023

作者： Kovačević, Ivana Matić, Tomislav Keser, Tomislav Miling, Robert Faculty of Electrical Engineering Computer Science and Information Technology Osijek University of Osijek Kneza Trpimira 2b Osijek31000 Croatia

ISBN: (数字)9783031514944

ISBN: (纸本)9783031514937

The communication networks are widely in use in every aspect of our life, making our environment compliable to the ever-present IoT oriented technocratic society. Good and quality communication enables reliable and representative data transportation service which provides interoperability of various data-processing systems. Majority of industrial processes have some sort of communication topologies used for interconnection of various subsystems, required by their specific operation principles, and often works in harsh and electrically and mechanically unpleasant environment. Presence of electromagnetic noises, electric discharges, strong and high alternating magnetic fields, mechanical and chemical stresses, also environmentally caused impacts on data transportation scheme, cause data corruption and lowers availability and reliability of such network. This paper deals with the problem of design, implementation and verification of RS485 based communication network for multi-nodal data exchange in winery cellars. The wine cellar represents exceptionally harsh environment in aspects of environmental chemical and electrical related conditions. The paper proposes optimal topology among multi-nodal communication devices for an experimental cellar setup, and develop communication protocol for efficient data exchange. Furthermore, a strategy for successful maintenance is also presented through in-protocol and nodal-oriented topology integration. © 2024, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Wine

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An Application for Evaluating Proficiency and Expert Knowledge Criteria of information Technologies (IT) Workers with Using Fuzzy Analytic Hierarchy Process

An Application for Evaluating Proficiency and Expert Knowled...

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Intelligent and Fuzzy Systems - Intelligence and Sustainable Future Proceedings of the INFUS 2023 Conference

作者： Tunç, Ali Taşdemir, Sakir Uyar, Mehmet Taha Bingöl, Veysel Can Architecht Information Systems Istanbul Turkey Computer Engineering Department Technology Faculty Selcuk University Konya Turkey

ISBN: (纸本)9783031397769

The information technologies (IT) sector has been an area of study whose significance has grown exponentially, taking into account the effects of growing technology and the importance of technology in recent years, taking into account the effects of the pandemic. The widespread use of remote working and hybrid working models in these sectors reveals the importance of making more careful performance evaluations of employees. Human resources are essential in the upkeep, renewal, and development of existing software products, as well as the creation of new ones. Infrastructures and system algorithms created with human impact as the most important resource can be finished on time for project success and in a manner that addresses future needs. This study, it is aimed to rank and monitor the performances of software engineers and analysts working in the software development sector by measuring both their technical skills and personal competencies. The most important items accepted as evaluation criteria in the sector were weighted by experts in their fields using the Fuzzy Analytic Hierarchy Process (Fuzzy AHP) method. It was ensured that these weighted evaluation items had been scored for the people to be measured and results were obtained. In order to evaluate the employees in the roles of analyst and software developer in terms of both talent and technical knowledge, the evaluation of the criteria of the experts with Fuzzy AHP and the weighting of the criteria are shown in tables in the study. Then, newly hired people and interns to be recruited were evaluated by their mentors, and a method that could be useful for tracking their training and development experiences was provided. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Analytic hierarchy process

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Energy Efficiency Enhancement in a Small Industrial Facility 32nd

Energy Efficiency Enhancement in a Small Industrial Facility

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32nd International Conference on Organization and technology of Maintenance, OTO 2023

作者： Kljajić, Ružica Kraus, Zorislav Fekete, Krešimir Marić, Predrag Faculty of Electrical Engineering Computer Science and Information Technology Osijek University of Osijek Kneza Trpimira 2b Osijek31000 Croatia

ISBN: (纸本)9783031514937

Small industrial utilities, connected to the distribution grid, can cause various disturbances that need to be eliminated or mitigated. Due to the complexity of the system and the large number of motors, industrial consumers may have problems with the voltage deviations caused by the excessive amount of reactive energy which is a natural consequence of their operation and construction. Since industrial consumers have to pay for both active and reactive power delivered from the grid, the goal is to reduce those costs as well as to reduce feeder loadings. Delivered energy can be reduced by installing compensation devices or by connecting photovoltaic power plant, which would produce active and reactive energy at the point of consumption. This paper analyzes the power flows and voltage conditions of a small industrial facility in three scenarios: the basic scenario, the second scenario with built-in compensation devices and in the third scenario with integrated photovoltaic power plant. For all three scenarios, power flow analysis is performed and results are presented in the form of tables and graphically. © 2024, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Energy efficiency

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Optimal scheduling of graph states via path decompositions

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Physical Review A 2025年第1期111卷 012627-012627页

作者： Samuel J. Elman Jason Gavriel Ryan L. Mann Centre for Quantum Software and Information School of Computer Science Faculty of Engineering and Information Technology University of Technology Sydney NSW 2007 Australia Centre for Quantum Computation and Communication Technology Faculty of Engineering and Information Technology University of Technology Sydney NSW 2007 Australia

We study the optimal scheduling of graph states in measurement-based quantum computation, establishing an equivalence between measurement schedules and path decompositions of graphs. We define the spatial cost of a measurement schedule based on the number of simultaneously active qubits and prove that an optimal measurement schedule corresponds to a path decomposition of minimal width. Our analysis shows that approximating the spatial cost of a graph is NP-hard, while for graphs with bounded spatial cost, we establish an efficient algorithm for computing an optimal measurement schedule.

关键词： Quantum computers

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AI - Driven CBR and Ontological Integration Framework for Enhancing Breast Cancer Care: Case Study 4

AI - Driven CBR and Ontological Integration Framework for En...

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4th International Conference on Robotics, Automation, and Artificial Intelligence, RAAI 2024

作者： Baroud, Shadia Yahya El- Halees, Alaa M. Baraka, Rebhi S. Yahaya, Nor Adnan University Malaysia of Computer Science and Engineering Department of Computing Petaling Jaya Malaysia Islamic University of Gaza Faculty of Information Technology Gaza Palestine

ISBN: (纸本)9798331520038

Breast cancer remains a significant health challenge, particularly in resource-limited settings such as the Gaza Strip. This study introduces a Case-Based Reasoning (CBR) framework, an Artificial Intelligence (AI) approach with broad applicability to building intelligent systems in health sciences domains, designed to enhance BC's diagnostic and treatment capabilities by leveraging historical patient data and clinical expertise. CBR is a reasoning paradigm that relies on specific knowledge from previously solved instances of problems rather than on general rules or models. The proposed framework integrates ontological modeling and semantic similarity measures to improve case retrieval and adaptation processes. This approach supports the formalization of reasoning procedures for collaborative medical acts, particularly in determining the best treatment for diseases and identifying best practices. It not only aids in medical decision-making but also fosters significant collaborations and ensures traceability, which are crucial for the proper deployment of medical applications. Effective information management mechanisms with traceable reasoning are also vital in the fields of epidemiology and public health. The study utilized datasets from 205 medical records collected from A1-Shifa Hospital in Gaza City to evaluate the system's performance. The proposed system comprises an Ontology and several modules for querying, reasoning, diagnosing and recommending treatments. The system achieved an 86% accuracy rate in diagnosing breast cancer and a 75% accuracy rate in recommending treatments. The treatment recommendations were validated by comparing the system's suggestions with those provided by expert oncologists and actual treatments administered to patients. © 2024 IEEE.

关键词： Case based reasoning

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Exploring the Potential of Discrete Chaotic Evolution Algorithm for Combinatorial Optimization

Exploring the Potential of Discrete Chaotic Evolution Algori...

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2024 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2024

作者： Ding, Yi Meng, Xiang Pei, Yan Li, Jianqiang Graduate School of Computer Science and Engineering University of Aizu Fukushima Aizuwakamatsu Japan Beijing University of Technology Faculty of Information Beijing100124 China

ISBN: (纸本)9781665410205

We propose an extension of the chaotic evolution algorithm into the discrete domain to address combinatorial optimization problems. In this study, we leverage the discrete chaotic evolution algorithm to tackle the Traveling Salesman Problem (TSP) for assessment purposes. The chaotic evolution algorithm exploits the ergodicity of chaos to facilitate the search process within the optimization algorithm. It incorporates a mathematical mechanism into the iterative evolution process, simulating ergodic motion within a search space based on a simple principle. To manage the discrete mutation operation within the chaotic evolution algorithm, we introduce a specifically designed chaotic operation. This operation is tailored for its application in solving combinatorial optimization problems. The chaotic sequence plays a crucial role in determining the mutation location. Our evaluation involves the comparison of our proposed discrete chaotic evolution algorithm with the outcomes of the simulated annealing algorithm and the tabu search algorithm. The assessment serves to demonstrate and validate that the discrete chaotic evolution algorithm yields superior optimization performance within the discrete domain. © 2024 IEEE.

关键词： Optimization algorithms

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L1Norm Minimization in ISAR Imaging 23

L1Norm Minimization in ISAR Imaging

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23rd International Symposium on Electrical Apparatus and Technologies, SIELA 2024

作者： Lazarov, Andon Minchev, Dimitar Nikola Vaptzarov Naval Academy Information Technology Department Varna Bulgaria Burgas Free University Computer Science and Engineering Faculty Burgas Bulgaria

ISBN: (纸本)9798350382365

This work deals with an ISAR (Inverse Synthetic Aperture Radar) image enhancement algorithm using target's sparse image and image's l1 norm minimization. As calculation of l1 norm of two-dimensional (2D) image matrix is too complicated, target's image matrix is resized to one-dimensional (1D) one. According to ISAR theory, the ISAR signal matrix is a Fourier transform of the target's image matrix. Thus, the ISAR signal is obtained one dimensional one while modelling by Fourier transform of a certain target's image column matrix. In the image reconstruction algorithm, 12 norm constrained function and l12 objective function are defined. Simulation experimental results prove functionality of the developed algorithm. © 2024 IEEE.

关键词： Radar imaging

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Organizational Data Breach:Building Conscious Care Behavior in Incident Response

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computer Systems Science & engineering 2022年第2期40卷 505-515页

作者： Adlyn Adam Teoh Norjihan Binti Abdul Ghani Muneer Ahmad Nz Jhanjhi Mohammed A.Alzain Mehedi Masud Department of Information Systems Faculty of Computer Science&Information TechnologyUniversiti Malaya50603Kuala LumpurMalaysia School of Computer Science and Engineering SCE Taylor’s UniversitySubang Jaya47500Malaysia Department of Information Technology College of Computers and Information TechnologyTaif UniversityTaif21944Saudi Arabia Department of Computer Science College of Computers and Information TechnologyTaif UniversityTaif21944Saudi Arabia

Organizational and end user data breaches are highly implicated by the role of information security conscious care behavior in respective incident *** research study draws upon the literature in the areas of information security,incident response,theory of planned behaviour,and protection motivation theory to expand and empirically validate a modified framework of information security conscious care behaviour *** applicability of the theoretical framework is shown through a case study labelled as a cyber-attack of unprecedented scale and sophistication in Singapore’s history to-date,the 2018 SingHealth data *** single in-depth case study observed information security awareness,policy,experience,attitude,subjective norms,perceived behavioral control,threat appraisal and self-efficacy as emerging prominently in the framework’s applicability in incident *** data analysis did not support threat severity relationship with conscious care *** findings from the above-mentioned observations are presented as possible key drivers in the shaping information security conscious care behaviour in real-world cyber incident management.

关键词： End user computing organizational behavior incident response data breach computer emergency response team cyber-attack

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