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International KES Conference on Human Centred Intelligent Systems, KES-HCIS 2020

作者： Mbarki, Amal Naouai, Mohamed Faculty of Sciences of Tunis University of Tunis EL MANAR B.P. No. 94 - Rommana Tunis1068 Tunisia Computer Science Laboratory in Algorithmic and Heuristic Programming University Campus Farhat Hached Tunis Tunisia

ISBN: (纸本)9789811557835

The capacity to recognize perceptual organizations is a conventional human ability that demonstrates a peerless challenge for researchers of computer science. Compared to object recognition and image segmentation, which are considered as the primary interests of the image processing research, visual perception has fewer generic solutions or evaluated approaches. In this paper, we explain the difficulty of the visual perception process and we offer a structured survey of the related approaches. We focus on each approach, along with its advantages and disadvantages. Then we present a comparison and an evaluation of different approaches based on a number of chosen criteria. Finally, we propose an approach to model the visual perception using stochastic geometry. To solve the problem of pixel-based approach and to inject high-level knowledge, we propose a marked point process model. © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2020.

关键词： Surveys

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Storage of key Features of Images of Sulfur Imprints in the Mathematical Structure Form

Storage of key Features of Images of Sulfur Imprints in the ...

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2020 International Multi-Conference on Industrial Engineering and Modern Technologies, FarEastCon 2020

作者： Bagaev, I.I. Logunova, O.S. Institute of Energy and Automated Systems Nosov Magnitogorsk State Technical University Department of Computer Engineering and Programming Magnitogorsk Russia

ISBN: (纸本)9781728169514

The aim of the study is to develop a method for storing images of sulfur imprints. In the framework of the study, a more effective method of representing images of sulfur imprints by using knowledge of the specificity of these images was developed compared to universal methods. In particular, a method for storing images of sulfur imprints has been developed, which stores information about objects that are significant for technological analysis in the image. The developed method was tested for images of sulfur imprints of continuously cast billets for the conditions of a large metallurgical enterprise in Russia. To conduct a computational experiment, a software product was designed and developed that allows you to convert the image of a sulfur imprint into a mathematical representation, as well as the process of restoring the main image. Using the array of retrospective information of 2011-2018 and the developed software product, the calculation of the effectiveness of the presentation of graphic information in the form of a structural unit of information without directly saving the image was performed. The average share of stored information from the original volume is 0.53 percent © 2020 IEEE.

关键词： Sulfur

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Analysis of Hardware and Software Tools for Implementation of Cognitive Radio Networks

Analysis of Hardware and Software Tools for Implementation o...

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2022 International Conference on Information Science and Communications Technologies, ICISCT 2022

作者： Reypnazarov, Ernazar Khujamatov, Halimjon Khasanov, Doston Allamuratova, Zamira Tashkent University of Information Technologies Named after Muhammad Al-Khwarizmi Tashkent Uzbekistan Tashkent University of Information Technologies Named after Muhammad Al-Khwarizmi The Computer Enjineering Faculty Tashkent Uzbekistan Tashkent University of Information Technologies Named after Muhammad Al-Khwarizmi Department of Data Communication Networks and Systems Tashkent Uzbekistan Tashkent University of Information Technologies Named after Muhammad Al-Khwarizmi Department of Information-Computer Technologies and Programming Tashkent Uzbekistan

ISBN: (纸本)9781665472296

This paper analyzes of the hardware and software tools for implementing a cognitive radio network. In particular, software-configurable radio modules, which are considered the main element of the cognitive network, were studied according to their main characteristics, among which the widely used ones were comparatively analyzed. As a result of the analysis, the HackRF One device was selected as the most preferred option for cognitive network research, and its working principles, structure, and characteristics were revealed in detail. It also provides information about the GNU Radio software environment and its capabilities, which are used to operate the HackRF One device. © 2022 IEEE.

关键词： Digital signal processing

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GAIWAP (Gait Analysis to Determine the Improvement of Walking Ability in People with Disabilities)

GAIWAP (Gait Analysis to Determine the Improvement of Walkin...

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Control, Automation, and Instrumentation (IC2AI), International Conference on

作者： Josef Börcsök Michael H. Schwarz Malte Drabesch Christian Kinsch Walter Michael Strobl Mathilde Sengölge Jürgen Breitenbach Dept. of computer architecture and system programming University of Kassel Kassel Germany Dept. für Gesundheitswissenschaften Fakultät für Gesundheit und Medizin Medizin und Forschung Zentrum für Gesundheitswissenschaften und Medizin Universität für Weiterbildung Krems Krems

ISBN: (数字)9798331529604

ISBN: (纸本)9798331529611

The use of complex electronic systems in medical technology applications is constantly increasing. These systems are becoming increasingly important, particularly in the area of analyzing the progress of treatment, as they can be used to identify any deficits that may still exist. Although systems are now available from a number of manufacturers, they are not always applicable to all mobile problems, so approaches with adapted system technology must be used.

关键词： Legged locomotion Automation Three-dimensional displays Accuracy Instruments People with disabilities Cameras Recording Gait recognition

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Research of Energy Detection Method in Spectrum Sensing in Cognitive Radio Networks

Research of Energy Detection Method in Spectrum Sensing in C...

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2022 International Conference on Information Science and Communications Technologies, ICISCT 2022

作者： Reypnazarov, Ernazar Khujamatov, Halimjon Khasanov, Doston Allamuratova, Zamira Tashkent University of Information Technologies Named after Muhammad Al-Khwarizmi Tashkent Uzbekistan Computer Enjineering Faculty Tashkent University of Information Technologies Named after Muhammad Al-Khwarizmi Tashkent Uzbekistan Tashkent University of Information Technologies Named after Muhammad Al-Khwarizmi Department of Data Communication Networks and Systems Tashkent Uzbekistan Department of Information-Computer Technologies and Programming Tashkent University of Information Technologies Named after Muhammad Al-Khwarizmi Tashkent Uzbekistan

ISBN: (纸本)9781665472296

This paper presents the threshold value determination model, its implementation algorithm, and the characteristics of the threshold value depending on the probability of false signal detection, developed for the purpose of researching the method of energy determination in spectrum sensing in cognitive radio networks. Also, the main methods of single-band spectrum sensing in cognitive radio networks were initially studied in the article, and the main spectrum detection algorithms were comparatively analyzed. © 2022 IEEE.

关键词： Cognitive radio

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Securing an IoT Medical System Using AI and a Unidirectional Network Device: Application to a Driver 11

Securing an IoT Medical System Using AI and a Unidirectional...

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11th International Conference on Electronics, Communications and Networks, CECNet 2021

作者： El Hajal, Georges Daou, Roy Abi Zeid Ducq, Yves Boercsoek, Josef Univ. Bordeaux IMS Laboratory France Biomedical Technologies Department Lebanese German University Lebanon MART Learning Education and Research Center Chananir Lebanon University of Kassel Institute for Computer Architecture and System Programming Germany

ISBN: (纸本)9781643682402

Security in systems and networks has always been a major issue for IT administrators. When it comes to medical applications, this concern is much more important due to the sensitivity of data and the risks that may be caused due to alteration or falsification of such critical information. The proposed paper presents a solution to assure the best security possible in such an environment. Thus, based on an application that monitors a driver's health while driving his car, a data diode will be implemented in order to assure security of the system by forcing unidirectional flow of network data to the healthcare provider side. Added to that, an AI-based program will be developed to verify the confidentiality, the integrity and the availability of the exchanged data and to check the patient health for abnormalities. Every sub-part of the system has been tested separately and results have shown that falsified data has been filtered out of the received end, e.g. the healthcare provider side. © 2022 The authors and IOS Press.

关键词： Medical applications

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Multi-criteria Radio Frequency Identification Approach for Manufacturing Company Selection Based on Partitioned Maclaurin Symmetric Mean Operators Under Complex Intuitionistic Fuzzy Set Environment

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International Journal of Fuzzy Systems 2024年第5期26卷 1730-1748页

作者： Azam, Muhammad Jana, Chiranjibe Khan, Muhammad Sajjad Ali Pal, Madhumangal Xin, Qin Yang, Shilin Sarkar, Biswajit Faculty of Science Beijing University of Technology Beijing100022 China Department of Applied Mathematics with Oceanology and Computer Programming Vidyasagar University Midnapore721102 India Department of Mathematics Khushal Khan Khattak University Karak Khyber Pakhtunkhwa Karak27200 Pakistan Faculty of Science and Technology University of the Faroe Islands Tórshavn Faroe Islands Department of Industrial Engineering Yonsei University 50 Yonsei-ro Sinchon-dong Seodaemun-gu Seoul03722 Korea Republic of Center for Global Health Research Saveetha Medical College Saveetha Institute of Medical and Technical Sciences Saveetha University Tamil Nadu 600077 Chennai India Department of Industrial Engineering and Management National Taipei University of Technology Taipei City 106344 Taiwan Chennai602105 India

The theory of intuitionistic fuzzy sets (IFSs) plays an essential role to deal with uncertainty and ambiguity. However, the IFSs deal only with anticipation, not periodicity. But, complex IFSs (CIFS) can handle both uncertainties and periodicity at a time. Therefore, this paper focuses on a new multi-criteria decision making (MCDM) approach using Maclaurin symmetric mean (MSM) operator in connection with the CIFS setting. Then, we develop some CIF partitioned based MSM (CIFPMSM) operators and their weighted form by considering that all the criteria can be arranged into some groups. The proposed operators not only deal with the interrelationship among criteria but also deal with the partitioned relationship among criteria. We discuss the properties of these proposed operators and investigate their cases. Finally, a decision-making approach for radio frequency identification (RFID) for manufacturing companies is developed based on the proposed operators and compared the results with the existing method to show the application and feasibility of the proposed method. © The Author(s) under exclusive licence to Taiwan Fuzzy Systems Association 2024.

关键词： Decision making

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Decentralised Blockchain-based Solutions for Electronic Healthcare Record with Interacting Social Networking Components

Decentralised Blockchain-based Solutions for Electronic Heal...

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2021 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies, 3ICT 2021

作者： Munoz, Daniel-Jesus Constantinescu, Denisa-Andreea ITIS Software CAOSD Group Universidad de Málaga Andalucía Tech Málaga Spain HPACuma Parallel Programming Models and Compilers Group Universidad de Málaga Computer Architecture Department Málaga Spain

ISBN: (纸本)9781665440325

The healthcare industry is a conjunction of monolithic applications based on neutral and time-stamped diagnostics. Hence, it is particularly interested in decentralised technologies to achieve global and social-driven electronic health records. Blockchain is a decentralised networking system where multiple copies of immutable data records are distributed and validated among different independent nodes. While traditionally used to create currently famous digital cryptocurrencies like Bitcoin, its worldwide fever helped to extend its applications beyond the financial industry. However, given how fast completely new technologies evolve, healthcare stakeholders are struggling to find the correct usage of blockchain ecosystem developments. Our goal is to provide a summary of the state-of-the-art efforts in the development of decentralised blockchain-based solutions for electronic healthcare records, in which social networking and wearable technology data is considered in order to provide patient-driven diagnostics - proven to be critical in the current SARS-CoV-2 pandemic. In this paper, we present a comprehensive guide on blockchain technologies competing in the healthcare market, including emerging blockchain-based initiatives and trends. Additionally, we discuss the main caveats of blockchain applications development in this industry based on practical experience. © 2021 IEEE.

关键词： Blockchain

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On One Method of Constructing a Decision Rule in Pattern Recognition

On One Method of Constructing a Decision Rule in Pattern Rec...

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2021 International Conference on Information Science and Communications Technologies, ICISCT 2021

作者： Kasimova, Shoista Kasimov, Saidaminxon Tashkent University of Information Technologies after Name Mukhammad Al-Khwarizmi Information and Computer Technologies and Programming Department Tashkent Uzbekistan Tashkent University of Information Technologies after Name Mukhammad Al-Khwarizmi Information Security Department Tashkent Uzbekistan

ISBN: (纸本)9781665432580

The general problem of pattern recognition is to establish the theory and principles of building systems that share complex situations and events into classes. In this case, usually the number of possible situations in the classes is great and they are almost impossible to be remembered. The method of estimates' calculating contributes to a variety of scoring functions' building, which in turn, allows us to formulate and solve a wide class of multivariate data processing. In recent years more and more widely distributed methods of pattern recognition, in which the primary step is to calculate the balance of information and consideration of evidence. Based on the latest evidence being implemented, all further procedures until the distinction of classes or assign any object to one of the classes. © 2021 IEEE.

关键词： Pattern recognition

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An Approach for Parallel Reading in Multiple Sequence Alignment

An Approach for Parallel Reading in Multiple Sequence Alignm...

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2020 International Conference Automatics and Informatics, ICAI 2020

作者： Ko, Soon-Heum Gancheva, Veska Linkoping University National Supercomputing Center Linkoping Sweden Technical University of Sofia Programming and Computer Technologies Department Sofia Bulgaria

ISBN: (纸本)9781728193083

We propose an approach for faster file reading of multiple sequence alignment input through the use of MPI-I/O over a subset of MPI cores. The idea is to allow a subset of MPI cores that perform I/O operations and to broadcast locally on individual neighbors, so the code is less sensitive to the stability of the parallel file system. It is achieved by creating a number of subgroups under a global MPI communicator. The size of each subgroup and the buffer size of each reading operation are tuned through the synthetic benchmark. We verify the performance of our approach by comparing it with the traditional way of "sequential file reading and global broadcast", and apply it to the existing MPI version of multiple sequence alignment software ClustalW. In the production run over 8192 BlueGene/Q cores, the current approach provides 6.8 times acceleration of the existing ClustalW-MPI implementation. © 2020 IEEE.

关键词： bioinformatics ClustalW-MPI MPI-I/O multiple sequence alignment parallel reading

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