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Cognitive Computing and Complex Data (ICCD), International Conference on the

作者： Chunyun Meng Sai Liang Hongli Li Yuki Todo Division of Electrical Information and Communication Engineering Kanazawa University Kanazawa Japan School of Computer Science and Communication Engineering Jiangsu University Zhenjiang China Marketing Department Zhejiang Kefei Technology Co. Ltd Jiaxing China Faculty of Electrical Information and Communication Engineering Kanazawa University Kanazawa Japan

ISBN: (数字)9798350352894

ISBN: (纸本)9798350352900

Re-identification involves identifying the same person across multiple non-overlapping cameras. Traditional methods rely heavily on pedestrian appearance, assuming consistent clothing in both query and gallery images, which is unrealistic in real-world scenarios where individuals often change clothes. To address this, we propose the Pose and Style Normalization Network (PSN-Net), which handles clothing and pose variations using adversarial generative networks and feature decoupling. Our model includes a Style Normalization (SN) module to eliminate style differences and a dual-channel feature matching module to enhance pedestrian matching. The results of the comparative and ablation experiments demonstrate that our model can effectively improve pedestrian recognition performance under clothing changes.

关键词： Pedestrians Clothing Cameras Data mining Cognitive systems Identification of persons

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DPPAD-IE: Dynamic Polyhedra Permutating and Arnold Diffusing Medical Image Encryption Using 2D Cross Gaussian Hyperchaotic Map

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IEEE Transactions on Consumer Electronics 2025年

作者： Li, Quanjun Li, Qian Ling, Bingo Wing-Kuen Pun, Chi-Man Huang, Guoheng Yuan, Xiaochen Zhong, Guo Ayouni, Sarra Chen, Jianwu Guangdong University of Technology School of Advanced Manufacturing Jieyang522000 China Wuyi University School of Electronics and Information Engineering Jiangmen510006 China Guangdong University of Technology School of Information Engineering Guangzhou510006 China University of Macau Faculty of Science and Technology Macau China Guangdong University of Technology School of Computer Science and Technology Guangzhou510006 China Macau Polytechnic University Faculty of Applied Sciences Macau China Guangdong University of Foreign Studies School of Information Science and Technology Guangzhou510420 China Princess Nourah bint Abdulrahman University College of Computer and Information sciences Department of Information Systems Riyadh11671 Saudi Arabia Fujian Medical University Union Hospital Department of Radiation Oncology Fujian province Fuzhou China Fujian Key Laboratory of Intelligent Imaging and Precision Radiotherapy for Tumors Fujian Medical University Fujian province Fuzhou China Fujian province Fuzhou China

With the rapid improvement of medical consumer electronics (CE), the transmission of multiple images has become increasingly common in the medical field. During the transmission and storage of image data, sensitive information, including medical images, may be accessed by unauthorized parties, resulting in possible privacy violations. Consequently, several multi-image encryption (MIE) algorithms have been proposed to solve this real-world problem. Nevertheless, current MIE schemes exhibit several drawbacks, including insufficient security in permutation and diffusion algorithms, as well as the insensitivity of chaotic maps. This paper presents a new encryption algorithm called DPPAD-IE. The algorithm primarily consists of three components. First, we developed an innovative hyperchaotic map called the 2D Cross Gaussian Hyperchaotic Map (2D-CGHM), which has an expanded chaotic interval and is proficient in producing chaotic sequences with improved pseudorandomness. Second, we introduce a new Dynamic Polyhedra Permutation algorithm (DPP) that successfully alters pixel locations of the image, hence diminishing the connection between neighboring pixels. Third, we propose an Arnold Diffusion algorithm (AD), using chaotic sequences to further encrypt the permuted image. The DPPAD-IE is capable of encrypting images of any quantity and size concurrently. The experimental results confirm that this approach is both robust and effective, capable of defending against various security attacks. The code are available at:https://***/QuincyQAQ/DPPAD-IE. © 1975-2011 IEEE.

关键词： Medical imaging

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Parsers implementation within the test environment generator in automotive industry

Parsers implementation within the test environment generator...

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Zooming Innovation in Consumer Electronics International Conference (ZINC)

作者： Magdalena Tomaš ić Ivan Romanić Filip Š irac Ratko Grbić TTTech Auto Osijek Croatia Faculty of Electrical Engineering Computer Science and Information Technology Osijek Croatia

ISBN: (数字)9781665483742

ISBN: (纸本)9781665483759

Testing in the automotive industry sector can be maximized with a correctly and efficiently implemented test environment generator (TEG). For the TEG to work properly, it must have functioning parsers. In this paper, the implementation of three parsers within C++ based TEG is analyzed. These are: model parser,. dbc and. xml communication parser, and. arxml communication parser. Each parser reads files of certain format and extracts appropriate data to store it in the TEG database. The performance of parsers implemented within C++ based TEG are compared with the performance of parsers of Python based TEG. The TEG written in C++ has advantages over a solution written in Python2, like better performance and better protection of intellectual property.

关键词： Industries Databases XML C++ languages Software Generators Data mining

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Design of a System-in-Package Module with Integrated Antenna for TinyGS Applications

Design of a System-in-Package Module with Integrated Antenna...

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IEEE Conference on Antenna Measurements & Applications (CAMA)

作者： Le-Huy Trinh Thanh-Tuan Phan Ngoc-Diem Ho Fabien Ferrero Faculty of Computer Engineering University of Information Technology Ho Chi Minh City Vietnam Universite Cote d'Azur CNRS - LEAT 930 Route des Colles Sophia Antipolis France

ISBN: (数字)9798350386929

ISBN: (纸本)9798350350746

This paper introduces the design and implementation of a compact ground station hardware system for the reception of data from low-Earth orbit (LEO) satellites. Using LoRa technology and System-in-Package (SiP) integration, the proposed architecture consolidates multiple components into a highly miniaturized form factor, featuring an embedded 2.4 GHz antenna, with overall dimensions of 10mm × 15mm × 3mm. The system is engineered to ensure reliable performance under the demanding conditions of LEO satellite communication, providing robust and efficient data reception and processing capabilities. This cost-effective and space-optimized solution facilitates greater access to satellite-derived data and services, particularly in remote or resource-constrained environments. The prototype was fabricated and rigorously tested using an evaluation kit, effectively validating the technical feasibility of the design.

关键词： Antenna measurements System-in-package Satellites Low earth orbit satellites Packaging Extraterrestrial measurements Size measurement Reliability engineering Antennas Satellite communications

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Exploring the Role of Multi-Agent Systems in Improving K-Means Clustering Method 4

Exploring the Role of Multi-Agent Systems in Improving K-Mea...

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4th International Symposium on Agents, Multi-Agents Systems and Robotics, ISAMSR 2021

作者： Jubair, Mohammed Ahmed Mostafa, Salama A. Mustapha, Aida Hassan, Mustafa Hamid Salamat, Mohamad Aizi Jawad, Mohammed Saeed College of Information Technology Imam ja'Afar Al-Sadiq University Department of Computer Technical Engineering Al-Muthanna Iraq Faculty of Computer Science and Information Technology Universiti Tun Hussein Onn Malaysia Johor Malaysia Faculty of Applied Sciences and Technology Universiti Tun Hussein Onn Malaysia Johor Malaysia

ISBN: (纸本)9781728166544

Clustering algorithms are attracting much application interest due to the significant growth in the rate of data generation. However, the high computational complexity of the existing clustering algorithms has rendered them ineffective in several ways. Therefore, this study proposes a novel parallel clustering algorithm that integrates Multi-Agent Systems (MAS) with the K-means algorithm;hence, the proposed novel algorithm is termed Multi-agent-K-means (MK-means). The MK-means is based on the concept of separating the activating agents to perform clustering while considering a different subset of features for each agent. This is aimed at the preservation of the dataset while improving the clustering accuracy. The cluster centers are calculated for each partition before being merged and clustered again. The statistical significance of the proposed approach is provided. The effectiveness of the proposed MK-means clustering algorithm was evaluated using Wine datasets, and the performance is compared with that of the traditional K-means algorithm. The results analysis proved the superiority of the proposed MK-mean clustering algorithm over the traditional version of the K-means algorithm. This suggests the suitability of the proposed algorithm as a clustering technique that can also be applied to other clustering algorithms that are based on the concept of initial cluster centroids selection. © 2021 IEEE.

关键词： Multi agent systems

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Security of the Cryptosystem GPT Based on Rank Codes and Term-rank Codes

Security of the Cryptosystem GPT Based on Rank Codes and Ter...

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2021 International Conference engineering and Telecommunication, En and T 2021

作者： Nguyen, Du Hoan Pham, Huu Loc Le Thi Trang, Linh Phystech School of Radio Engineering and Computer Science Moscow Institute of Physics and Technology Moscow Russia Electric Power University Information Technology Faculty Hanoi Viet Nam

ISBN: (纸本)9781728183909

This paper investigates public key cryptosystems (PKC) in the rank metric and term-rank metric. For security analysis of cryptosystems, we introduce a GPT system. Recently, respective structural attacks this system were proposed by Over-beck. For GPT system, Overbeck's attack succeeds in polynomial time. We will discuss the new construction of Shiki system. This paper describes Overbeck's attack to the new Shiki system. Also, investigation of the possibility of using term-rank codes in public key cryptosystems. © 2021 IEEE.

关键词： Polynomial approximation

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Optical Coherence Tomography Classification Based on Transfer Learning and RA-Attention 11th

Optical Coherence Tomography Classification Based on Transfe...

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11th International Conference on Health information Science, HIS 2022

作者： Lian, Xiaoyi Chen, Lina Ji, Xiayan Shen, Fangyao Guo, Hongjie Gao, Hong College of Physics and Electronic Information Engineering Zhejiang Normal University Zhejiang321004 China College of Mathematics and Computer Science Zhejiang Normal University Zhejiang321004 China Faculty of Computing Harbin Institute of Technology Harbin150001 China

ISBN: (纸本)9783031206269

Macular disease is one of the major causes of blindness. Optical coherence tomography (OCT) is a commonly used ophthalmic diagnostic technique to assist ophthalmologists in their analysis and treatment. However, manual analysis is a time-consuming, heavy and subjective process. In this paper, we propose an improved EfficientNet model for retinal OCT image classification, named TL-RA-EfficientNet. It introduces a Re-Attention module to enable the model to identify the lesions with small areas and fuzzy shapes. During training, a data augmentation strategy is introduced to solve the class-imbalance problem, and a transfer learning strategy is adopted to speed up the convergence of the model. The experimental results on the UCSD dataset show that the average recognition accuracy, sensitivity and specificity of our model are 99.9%, 99.9% and 99.97%, respectively, which are more effective than previous classification methods. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Optical tomography

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The Effects of Serious Games on Students' Higher-Order Thinking Skills in Science Education 8

The Effects of Serious Games on Students' Higher-Order Think...

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8th International Conference on Electrical engineering and Informatics, ICEEI 2021

作者： Awang Noh, Siti Norliza Mohamed, Hazura Mat Zin, Nor Azan University Kebangsaan Malaysia Faculty of Information Science and Technology Selangor43600 Malaysia University Malaysia of Computer Science and Engineering Game Design and Technology Selangor63000 Malaysia

ISBN: (纸本)9781665405560

Thinking skills are considered essential to remain competitive in the 21st century. However, low achievement in science subjects reflects students' weaknesses in mastering their thinking skills. The study aims to investigate the effectiveness of a serious game's application method called 'Litar Elektrik' on learners' higher-order thinking skills (HOTS) in science. This serious game is a learning game for HOTS that focuses on the science learning syllabus of Year Five's electrical circuit topics. The effectiveness evaluation used a quasi-experimental technique via pre-and post-tests. The sample involved 32 primary school students, 16 in the experimental group who used the serious game application and 16 in the control group who used the conventional method. The findings showed that using the serious game as a teaching approach could enhance students' HOTS in science subjects. Hence, this study suggests that serious games can be an alternative teaching and learning tool to promote HOTS learning in science subjects. © 2021 IEEE.

关键词： Serious games

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Identification of selection criteria for blockchain platforms

Identification of selection criteria for blockchain platform...

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International Association of Institutes of Navigation World Congress (IAIN)

作者： Shahr Banoo Muradi Yin Kia Chiam Department of Software Engineering Faculty of Computer Science and Information Technology Universiti Malaya Kuala Lumpur Malaysia

Blockchain technology is widely used to develop software systems in different industries such as finance, healthcare, supply chain management, data management, Internet of Things (IoT). To adopt blockchain, some critical challenges such as performance, interoperability, availability, security attacks, sustainability, and latency need to be taken into consideration. If the blockchain platform selected is not appropriate, the functionality and quality of the blockchain-based systems will be affected. Additionally, numerous blockchain platforms with unique properties and specifications are available in the market, and the task of selecting the right platform that best meets the project needs is getting complicated. It is crucial to define significant criteria that can help to shortlist the blockchain platforms for further comparison and selection using multicriteria decision-making methods. This research proposes a set of selection criteria that cover both features and quality attributes of the blockchain platforms. A survey was conducted to get the opinions of blockchain practitioners on the suitability of the selection criteria for the evaluation and selection of blockchain platforms.

关键词： Supply chain management Decision making Medical services Software systems Blockchains Internet of Things Security

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The Cloud's Balancing Confidentiality and Collaboration

The Cloud's Balancing Confidentiality and Collaboration

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International Conference on Power Energy, Environment and Intelligent Control (PEEIC)

作者： Vivek V Girija Shankar Sahoo Kehkeshan Jallal S Department of Computer Science Engineering Faculty of Engineering and Technology JAIN (Deemed-to-be University) Bangalore Karnataka India Maharishi School of Engineering & Technology Maharishi University of Information Technology Uttar Pradesh India Department of Electronics and Communication Engineering Presidency University Bangalore Karnataka India

Group data sharing in cloud settings has become more popular recently as a result of cloud computing's broad acceptance. The need for efficient and safe data exchange in such settings is currently urgent. Another particular problem in cloud-based exchange of data is finding a balance of anonymity and traceability. In order to preserve anonymity, this study focuses on providing safe and effective data exchange and storage for organizations via the cloud. In order to accommodate numerous users surreptitiously in public clouds, it suggests a unique traceable collective data sharing system that makes use of key collaboration and group signature techniques. This system ensures that member identities may be tracked when required while enabling group members to converse anonymously using group signatures. Additionally, to allow for safe data exchange and preservation among group members, a shared conference key is obtained via key agreement. Notably, the key generation process for the system uses a symmetrically balanced incomplete block architecture, greatly easing the load on participants while determining a shared conference key. The suggested approach for collective information sharing on the internet of things is shown to be secure and effective via theoretical investigation and empirical assessments.

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