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International Conference on Machine Learning and Cybernetics (ICMLC)

作者： Meng Li Eric C.C. Tsang Wei-Hua Xu Qiang He School of Computer Science and Engineering Macau University of Science and Technology Taipa Macau China College of Artificial Intelligence Southwest University Chongqing China School of Science Beijing University of Civil Engineering and Architecture Beijing China

ISBN: (数字)9798331528041

ISBN: (纸本)9798331528058

The detection of small objects and high aspect ratio objects is a challenge for remote sensing image object detection. In this paper, we refer to these objects as extreme objects. The Attention-Based Multigranular Extreme Object Detection Network (AMEODNet) is proposed to address these problems. It consists of two parts. The first part is a multi-granularity information fusion module. The second part is an extreme object extraction section. The proposed method is tested on the NWPU VHR-10 datasets. The results are compared with mainstream object detection algorithms to verify the effectiveness of the proposed method.

关键词： Training Attention mechanisms Object detection Detectors Hardware Remote sensing Cybernetics

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TAPEMAN: Towards an Optimal Data Gathering Mechanism in Wireless Sensor Networks

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Chinese Journal of Electronics 2023年第4期19卷 594-598页

作者： Yu Gu Yusheng Ji Hongyang Chen Baohua Zhao Department of Computer Science University of Science and Technology of China Hefei China State Key Laboratory of Networking and Switching Technology Beijing China Information Systems Architecture Science Research Division NII Tokyo Japan Institute of Industrial Science University of Tokyo Tokyo Japan

In this paper, we study the lifetime optimization problem using a mobile sink node in a storage-constrained wireless sensor network, and propose an optimal data gathering mechanism named (TAPEMAN) which runs in three steps: first a tight upper bound of the network lifetime is derived through analysis of energy consumption, then we generate a Traveling salesman problem (TSP) solution based on a 2-approximation $O(n^{2})$ algorithm. A judgment will be made about whether this solution is optimal. If the answer is yes, TAPEMAN terminates. If not, a novel data diffusion scheme is used to distribute data to neighboring nodes, in order to avoid data leaking. We prove that under some reasonable assumptions, our algorithm can achieve this upperbound. Simulation results demonstrate the efficiency of our proposed solution and substantiate the importance of using sink mobility for energy-constrained sensor networks.

关键词： Wireless communication Wireless sensor networks Energy consumption Upper bound Simulation Traveling salesman problems Delays

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Development of a digital factory using automation simulation tools

Development of a digital factory using automation simulation...

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Technologies Applied to Electronics Teaching (TAEE)

作者： André s Garcí a Ló pez Miguel Damas Hermoso Claudia Villalonga Palliser Oresti Bañ os Legrá n Department of Electrical Engineering Automation and Electronic Technology Polytechnic University of Cartagena Cartagena Spain Department of Architecture and Computer Technology University of Granada Granada Spain

ISBN: (数字)9781665421614

ISBN: (纸本)9781665421621

This paper describes an academic project building on various state-of-the-art Industry 4.0 technologies. The project considers as the primary scenario the current problem behind the accumulation of biological waste in the vicinity of hospitals due to the COVID-19. To that end, a fully automated personal protective equipment recycling plant is developed using the Factory I/O simulation tool, TIA Portal, and Ignition. The project is considered to serve well as a reference for other Electrical Engineering undergraduates while complementing their training in skills such as design, automation, and supervision of industrial processes.

关键词： Training Personal protective equipment Industries Hospitals Ignition Production facilities Recycling

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Relip: Reliable in-Band Parallel Communication for Magnetic MIMO Wireless Power Transfer System

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IEEE Transactions on Mobile Computing 2025年

作者： Wang, Xinyu Zhou, Wangqiu Zhou, Hao Jiang, Shenyao Liu, Zhi Wang, Xiaoyan Ji, Yusheng Song, Qi City University of Hong Kong Department of Computer Science Hong Kong University of Science and Technology of China School of Computer Science and Technology Hefei230027 China The University of Electro-Communications Graduate School of Informatics and Engineering Tokyo182-8585 Japan Ibaraki University Graduate School of Science and Engineering Ibaraki310-8512 Japan National Institute of Informatics Information Systems Architecture Science Research Division Tokyo101-0003 Japan

In magnetic resonant coupling (MRC) based wireless power transfer (WPT) systems, receiver (RX) feedback communication is promising to enhance the capability and efficiency of the system. Although some studies have explored in-band implementations with low overhead costs, it has not been comprehensively investigated. In this paper, we propose Relip, a Reliable layer-level in-band parallel feedback communication mechanism for MIMO MRC-WPT systems, which addresses the impact of RX-RX couplings (i.e., non-negligible interference from strong couplings and positive effects of relay phenomenon), and provides a theoretical analysis of communication reliability. Technically, we first devise an On-Off based two-phase modulation mechanism to achieve RX identification and dependency detection under relay phenomenon. Then, we utilize observed channel decomposability to collect group-level power transfer channel conditions for eliminating the interference caused by strong RX-RX couplings. Furthermore, we perform RX selection to optimize the trade-off between communication reliability and time overhead. We design and implement the Relip prototype and conduct extensive experiments. The results validate the effectiveness of our mechanism, i.e., Relip can provide ≥99% average decoding accuracy for concurrent feedback communication of 14 devices, achieving an 18.31% improvement compared to the state-of-the-art solution. © 2002-2012 IEEE.

关键词： Inductive power transmission

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PluriCards: Engaging with the Pluriverse to Explore New Sustainability Research Directions

PluriCards: Engaging with the Pluriverse to Explore New Sust...

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ICT for Sustainability (ICT4S), International Conference on

作者： Petko Karadechev Rikke Hagensby Jensen Victor Vadm Jensen Helena Amalie Haxvig Maurizio Teli Markus Löchtefeld Sustainability and Planning Aalborg University Aalborg Denmark Digital Design and Information Studies Aarhus University Aarhus Denmark Computer Science Aalborg University Aalborg Denmark Information Engineering and Computer Science University of Trento Trento Italy Architecture Design and Media Technology Aalborg University Aalborg Denmark

ISBN: (数字)9798331505288

ISBN: (纸本)9798331505295

This paper describes the design and testing process of PluriCards - a card deck used to promote conversations about sustainable and digital futures. We address an existing need in the Global North for alternative ways of thinking about sustainability, building on concepts from the Global South, like the Pluriverse. Presenting the rationale and usages of the deck with students and researchers, we offer examples of how disparate participants are brought together and engaged in foreseen shared research directions that relate to alternative futures. We propose that ICT researchers and students can use PluriCards to challenge the prevailing digital exceptionalism that certain aspects of ICT development are presently benefiting from.

关键词： Conferences Buildings Collaboration Oral communication Games Medical services Reflection Sparks Sustainable development Testing

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Using Mobile Sinks in WSN: Computational Complexity and a Theoretical Bound

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Chinese Journal of Electronics 2023年第1期20卷 147-150页

In this paper, we study the lifetime optimization problem in wireless sensor networks using mobile sink nodes. This problem is inherently difficult since we need to consider both sink scheduling and data routing. Through a simple case study we develop a novel notation named the Placement pattern (PP) to bound traffic patterns with candidate locations. This significantly decreases the number of elements needed to be scheduled. Based on the PP, we mathematically formulate this optimization problem as a Mixed-integer non-linear programming (MINLP), which is very tough and time consuming to solve. By proving that the problem is NP-complete, we point out that instead of seeking an optimal algorithm, heuristic algorithms, especially those with performance guarantee, would be much more desirable to develop. Furthermore, in order to help identify performance gains of heuristic algorithms proposed in the future, we develop a Linear programming (LP) formulation which serves as an upper bound by adopting a reformulation and relaxation technique.

关键词： Wireless sensor networks Upper bound Heuristic algorithms Traffic control Programming Performance gain Routing

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Improving the Performance of Job Backfilling Based on Job's Weight and Back Propagation Neural Network

Improving the Performance of Job Backfilling Based on Job's ...

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Computational Intelligence Approaches and Applications (ICCIAA), International Conference on

作者： Hazem Alnajjar Nadia Al-Rousan Syed Sahal Nazli Alhady Syed Hassan Junita Mohamad-Saleh Department of Computer Science College of Information Technology University of Petra Amman Jordan Department of computer engineering College of Engineering AlBalqa Applied University Salt Jordan Department of Computer Engineering Faculty of Electrical Engineering and Information Systems German Jordanian University Amman Jordan Colleage of Engineering and Architecture School of Electrical & Electronic Engineering Engineering Branch Campus Universiti Sains Malaysia Malaysia

ISBN: (数字)9798331523657

ISBN: (纸本)9798331523664

Nowadays, the grid computing environment faces many difficulties executing new jobs, especially jobs requiring large resource requirements and long execution times. This motivates researchers and scholars to find cheap and fast methods to improve the efficiency of grid environments. One of the cheap and fast methods is to implement job scheduling algorithms based on cheap and fast techniques. This paper proposes a new job ranking backfilling algorithm based on the job's weight and back propagation neural network. To define the weight of the job, first, the proposed model will use a clustering algorithm to cluster the job's dataset into groups, and then the groups will be ranked using an experimental ranking equation. A discrete event simulator is used to validate the proposed algorithm's capability and robustness. The average results revealed that the new algorithm outperforms previous algorithms. The improvement of the studied metrics is between 1.19 and 6.30, respectively. The results proved that the proposed model is efficient and can be used with low overhead in a real environment.

关键词： Backpropagation Measurement Scheduling algorithms Computational modeling Neural networks Clustering algorithms Grid computing Mathematical models Robustness Faces

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A survey and recent advances in black widow optimization: variants and applications

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Neural Computing and Applications 2024年 1-21页

作者： Shehab, Mohammad Shambour, Mohd Khaled Yousef Abu Hashem, Muhannad A. Al Hamad, Husam Ahmad Shannaq, Fatima Mizher, Manar Jaradat, Ghaith Sh. Daoud, Mohammad Abualigah, Laith College of Computer Sciences and Informatics Amman Arab University Amman11953 Jordan The Custodian of the Two Holy Mosques Institute for Hajj and Umrah Research Umm Al-Qura University Makkah Saudi Arabia Department of Geomatics Architecture and Planning Faculty King Abdulaziz University Jeddah Saudi Arabia College of Engineering Al Ain University Abu Dhabi United Arab Emirates Research Center University of Tabuk Tabuk71491 Saudi Arabia Computer Science Department Al al-Bayt University Mafraq25113 Jordan Hourani Center for Applied Scientific Research Al-Ahliyya Amman University Amman19328 Jordan MEU Research Unit Middle East University Amman11831 Jordan Department of Electrical and Computer Engineering Lebanese American University Byblos13-5053 Lebanon School of Computer Sciences Universiti Sains Malaysia Pulau Pinang11800 Malaysia School of Engineering and Technology Sunway University Malaysia Petaling Jaya27500 Malaysia Applied science research center Applied science private university Amman11931 Jordan College of Engineering Yuan Ze University Taoyuan32003 Taiwan

Artificial Intelligence techniques, such as optimization algorithms, have become essential for success in many fields. Therefore, most researchers, especially in computer and engineering sciences, focused their efforts and abilities on adapting the optimization algorithms for solving various problems. This review introduces one of the recent nature-inspired optimization algorithms, called black widow optimization (BWO). This review highlights the main procedures of BWO, its strengths and weaknesses, the growth of BWO, the variants of BWO (i.e., binary, modification, and hybridization), and the efficiency of BWO in different fields and applications (i.e., feature selection, medical, image processing, engineering, IoT, power and energy, and networks). As a result, the review seeks to assist researchers who are interested in using the BWO to address their challenges. For instance, it could help manage large pilgrim crowds, enabling smoother ritual performances and overcoming potential difficulties they encounter. Also, it suggests new possible ways of enhancing the efficiency of the basic BWO. © The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2024.

关键词： Optimization

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Image super resolution using Enhanced Attention Block (EAB) for Grape Leaf Disease Detection

Image super resolution using Enhanced Attention Block (EAB) ...

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International Conference on computer Applications In Electrical Engineering-Recent Advances (CERA)

作者： P.V. Yeswanth Y Thanya S Deivalakshmi K M Lokesh Kumar Johaan George Department of Electronics and communication engineering National Institute of Technology Tiruchirappalli India Department of Computer and communication engineering Amrita Vishwa Vidyapeetham Chennai India Department of Ocean engineering and Naval Architecture Indian Insitute of Technology Kharagpur India

Accurate disease diagnosis in grape leaf analysis is heavily reliant on high-resolution (HR) images. To meet this need, we propose a model that incorporates the Enhanced Attention Block (EAB) to generate HR images for improved disease detection. The EAB employs advanced attention mechanisms and residual learning to effectively capture critical, spatial and channel-wise relationships. Proposed model is assessed using PSNR (Peak Signal-to-Noise Ratio) and SSIM (Structural Similarity Index) metrics, yielding PSNR scores of 31. 902dB, 32.785dB, and 34. 853dB, and SSIM score of 0.8709, 0.9058, and 97.46 for factors 2,4 and 6 respectively. This proposed approach holds great potential for widespread implementation in disease detection across various plant species, allowing for timely and accurate interventions for plant health management and increasing industry productivity.

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Reducing the Time of Live Container Migration in a Workflow 17th

Reducing the Time of Live Container Migration in a Workflow

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17th IFIP WG 10.3 International Conference on Network and Parallel Computing, NPC 2020

作者： Di, Zhanyuan Shao, En He, Mujun University of Chinese Academy of Sciences Beijing China State Key Laboratory of Computer Architecture Institute of Computing Technology CAS Beijing China Chongqing University Chongqing China

ISBN: (纸本)9783030794774

As a lightweight virtualization solution, container technology can provide resource limiting capabilities and can run multiple isolated process sets under a single kernel instance. Multi-tenant preemption leads to competition in computing, storage, and network resources, resulting in degraded computing service performance. Virtualization service migration can provide a solution to the problem of resource shortage in supercomputing systems. However, the resource overhead and delay in the migration process also reduce the efficiency of high-performance computers. To solve this problem, this dissertation proposes a method of container migration and a tool for supporting container migration. Also, this paper optimizes the startup of containers from checkpoints and proposes a multi-container migration strategy, reducing migration time by 30% compared to sequential migration. The migration method in this paper provides valuable experience for service migration in supercomputers and data centers. © 2021, IFIP International Federation for Information Processing.

关键词： Containers

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