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3rd International Conference on Green Communication, Network, and Internet of Things, CNIoT 2023

作者： Zhong, Hao Jia, Haoran Jia, Yanting Sun, Haiyi School of Computer Science and Engineering Shenyang Jianzhu University Shenyang China School of Electrical and Control Engineering Shenyang Jianzhu University Shenyang China Office of Academic Affairs Shenyang Jianzhu University Shenyang China Department of Science Shenyang Jianzhu University Shenyang China

ISBN: (纸本)9781510668867

In this paper, a new strategy for pinning control node selection is proposed, namely: pinning control strategy based on ADRD (Adjacency Degree and Resistance Distance) algorithm. Firstly, the model of the undirected network and the sufficient conditions to achieve synchronization are given. Secondly, the steps of the pinning control strategy based on the ADRD algorithm are specifically given and applied to dolphins network, and by comparing the pinning control strategy based on the resistance distance, it is concluded that: the pinning control strategy based on the ADRD algorithm is better than the pinning control strategy based on the resistance distance. Finally, the correctness and effectiveness of the method are verified by numerical simulation. © 2023 SPIE.

关键词： Complex networks

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Degradable Tracking System based on Hardware Multi-Model Estimators

Degradable Tracking System based on Hardware Multi-Model Est...

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2022 Resilience Week, RWS 2022

作者： Kiriakidis, Kiriakos Croteau, Brien Severson, Tracie Rodriguez-Seda, Erick Robucci, Ryan Islam, Riadul Rahman, Saad United States Naval Academy Department of Weapons Robotics and Control Engineering Department of Cyber Science United States University of Maryland Department of Computer Science and Electrical Engineering United States

ISBN: (数字)9781665488198

ISBN: (纸本)9781665488198

Sensing systems onboard unmanned vehicles operate in an environment of constrained computational resources. A cyber-Attack may primarily aim to degrade these computing devices and, ultimately, incapacitate the sensing system itself. To prepare a prototype tracking system for degradation, this paper proposes distributed hardware implementation of a Multiple Model estimator on two FPGA units and, after an attack, adaptation of the estimator by leveraging Dynamic Partial Reconfiguration of the single surviving FPGA. The method ensures that the most likely models of the estimator are loaded on to the fabric of the surviving FPGA with minimal interruption. © 2022 IEEE.

关键词： Field programmable gate arrays (FPGA)

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Congress on Evolutionary Computation

作者： Wenqiang Ma Yaqing Hau Hua Yu Xiangrong Tong Zexuan Zhu Qiang Zhang School of Computer Science and Technology Dalian University of Technology Dalian China School of Computer and Control Engineering Yantai University Yantai China College of Computer Science and Software Engineering Shenzhen University Shenzhen China

ISBN: (数字)9798350308365

ISBN: (纸本)9798350308372

Deep neural networks are powerful and popular learning models; however, recent studies have shown that deep neural network-based policies are susceptible to deception by adversarial attacks. A minimalistic attack is a specialized form of adversarial attack that aims to accomplish successful attacks at the lowest possible cost. Recently, transfer optimization algorithms have been applied to deceive previously trained policies by acquiring knowledge from previously solved tasks. Experiments indicate that the transfer optimization algorithms perform well compared to traditional optimization algorithms. However, current transfer algorithms for addressing minimalistic attacks not only select a single source task for knowledge transfer but also tend to overly rely on identified appropriate source tasks. To address this issue, this paper introduces a similar locality based transfer evolutionary optimization algorithm. It can adaptively select multiple source tasks and extract valuable knowledge from these source tasks. Moreover, by leveraging the concept of similar locality, the algorithm alleviates its excessive dependence on familiar tasks, thereby providing fresh knowledge for the optimization of the target task. On this basis, the algorithm can mine more valuable knowledge from the large source task space to achieve a successful attack in a shorter period. The algorithm is tested on three Atari games-BeamRider, Qbert, and Seaquest-demonstrating its ability and potential to outperform other transfer optimization algorithms currently available in solving this problem.

关键词： Sociology Fitting Optimization methods Games Reinforcement learning Security Task analysis

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Pinning control of Complex Networks Based on the entropy of Betweenness centrality and Node strength 3

Pinning Control of Complex Networks Based on the entropy of ...

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3rd International Conference on Green Communication, Network, and Internet of Things, CNIoT 2023

作者： Sun, Haiyi Cai, Liang Lv, Chenxinxiao Jia, Yanting Department of Science Shenyang Jianzhu University Shenyang China School of Computer Science and Engineering Shenyang Jianzhu University Shenyang China School of Electrical and Control Engineering Shenyang Jianzhu University Shenyang China Office of academic affairs Shenyang Jianzhu University Shenyang China

ISBN: (纸本)9781510668867

In order to solve the problem of pinning node selection in undirected weighted networks, a pinning control strategy based on the entropy of betweenness centrality and node strength is proposed in this paper. Firstly, a complex network model is given where each node is the same dynamical system, secondly, sufficient conditions for the synchronization of this network are given, and specific steps of the betweenness centrality and node strength entropy-based pinning control strategy are proposed and applied to different networks. Finally, by comparing the neighborhood information entropy-based pinning control strategy, it is found that in order to synchronize the network, the number of key nodes pinned by the proposed pinning control strategy is smaller than the neighborhood information entropy-based pinning control strategy under different coupling strengths. © 2023 SPIE.

关键词： Complex networks

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Balancing Human-robot Collaborative Disassembly Line by Using Dingo Optimization Algorithm 4

Balancing Human-robot Collaborative Disassembly Line by Usin...

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4th IEEE International Conference on Human-Machine Systems, ICHMS 2024

作者： Guo, Xiwang Zhou, Liangbo Zhou, Mengchu Wang, Weitian Wang, Jiacun Qi, Liang Liaoning Petrochemical University Information And Control Engineering Fushun China Liaoning Petrochemical University Information And Control Fushun China New Jersey Institute Of Technology Electrical And Computer Engineering NewarkNJ United States Montclair State University School Of Computing Montclair United States Monmouth University Computer Science And Software Eng. West Long BranchNJ United States Shandong University Of Sci. And Tech. Computer Intelligent Sci. And Tech. Qingdao China

ISBN: (纸本)9798350315790

Disassembling and recycling scrapped products play important roles in effectively reducing environmental pollution and improving resource sustainability. A multi-product human-robot collaborative disassembly-line-balancing problem (MHDP) arises from doing so and represents an important yet to be solved in the remanufacturing field. This work explores how to use optimization algorithms to schedule tasks between humans and robots to maximize remanufacturing profit in human-robot collaboration contexts. Specifically, we investigate MHDP and develop a mixed integer programming model considering various system constraints. We propose a dingo optimization algorithm that simulates wild dogs' social hierarchy and chasing processes to solve MHDP. We compare the proposed algorithm with an exact solution finder, i.e., IBM CPLEX and a well-known intelligent optimization method, i.e., Genetic Algorithm to show its competitive performance in terms of solution accuracy and efficiency. © 2024 IEEE.

关键词： Genetic algorithms

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Research on Multi Beam Sounding Based on Spatial Position Relationship and Backtracking Algorithm 2

Research on Multi Beam Sounding Based on Spatial Position Re...

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2nd IEEE International Conference on control, Electronics and computer Technology, ICCECT 2024

作者： Xian, Bensen Liu, Bo Li, Yufen Zhu, Baicheng Chen, Qiuyan Diao, Jinlong Sun, Wenkai Mo, Jiahuan Bai, Shaoyuan Zhang, Ya'nan College of Environmental Science and Engineering Guilin University of Technology Guilin China School of Computer Science and Engineering Guilin University of Technology Guilin China School of Mathematics and Statistics Guilin University of Technology Guilin China Collaborative Innovation Center for Water Pollution Control and Water Safety in Karst Area Guilin University of Technology Guilin China

ISBN: (纸本)9798350380958

The multi beam depth measurement system is an efficient underwater terrain measurement method, which has wide applications in marine terrain surveys, underwater archaeology, and other fields. Therefore, exploring the problem of multi beam survey lines is of great research significance for the exploration of marine disciplines. This article mainly uses SketChup for drawing. With the help of mathematical geometry and triangle theory, a seawater depth calculation model, a coverage width calculation model, and an optimal survey line design model are constructed. The indicator values of each measurement point are solved using Python. This paper establishes a mathematical model for the coverage width of multi beam depth measurement and the overlaps rate between adjacent bands. Firstly, the spatial structure is analyzed as a planar Fig. Then, this paper uses a plan for geometric analysis to obtain right angled triangles with similar ratios. Through physical analysis, a seawater depth measurement model was established. Then, geometric analysis is performed using the obtained planar Fig to obtain a right angled triangle with similar ratios. Then, a depth measurement model for seawater is obtained through physical angle analysis. The coverage width measurement model and the repetition rate measurement model are established using the sine theorem and equal substitution. Finally, using Python, we calculate the index values for the listed positions with an open angle of 120°, a slope of 1.5°, and a center point seawater depth of 70m. For example, the depth, coverage width, and overlap rate of the measuring line at a distance of 200m from the center point are 64.763m, 224.885m, and 13.837%, respectively. © 2024 IEEE.

关键词： Python

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Charging Infrastructure for Electric Vehicles Forecasting: A Study Based on ARIMA Algorithm and OLS Regression Model

Charging Infrastructure for Electric Vehicles Forecasting: A...

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Telecommunications and Power Electronics (TELEPE), International Conference on

作者： Haoxin Ma Jiaqi Wang Mingkai Zhu School of Computer and Control Engineering Qiqihar University Qiqihar China School of Computer Science China University of Geosciences Wuhan China

ISBN: (数字)9798350369212

ISBN: (纸本)9798350380002

This study comprehensively analyzes the future production, sales and charging infrastructure expansion of new energy electric vehicles in China over the next decade, including production, sales and charging infrastructure expansion. The study uses the ARIMA algorithm, combined with industry data analysis, to forecast the future development of the industry. In addition, the impact of new energy vehicles on the traditional automotive industry is analyzed through OLS regression analysis to gain insight into the challenges and opportunities brought about by the rise of new energy vehicles. This study provides valuable experience for the development of new energy vehicles and global sustainable development strategies.

关键词： Industries Time series analysis Production Predictive models Electric vehicles Regression analysis Trajectory Telecommunications Automobiles Sustainable development

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Monarch Butterfly Optimization Algorithm for Human-Robot Collaboration Multi-Objective Disassembly Line Balancing Problem

Monarch Butterfly Optimization Algorithm for Human-Robot Col...

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2024 International Conference on Cyber-Physical Social Intelligence, ICCSI 2024

作者： Wang, Haokun Guo, Feng Guo, Xiwang Wang, Jiacun Qin, Shujin Tang, Ying Liaoning Petrochemical University Artificial Intelligence and Software Fushun China Liaoning Petrochemical University Information and Control Engineering Fushun China Monmouth University Computer Science and Software Eng. NJ United States Shangqiu Normal University Logistics Management Shangqiu China Rowan University Electrical & Computer Engineering GlassboroNJ United States

ISBN: (纸本)9798350376739

Efficient end-of-life products disassembly is crucial in the remanufacturing process. However, hazardous and repetitive disassembly tasks raise labor costs and decrease safety and efficiency. This work proposes an innovative disassembly algorithm that is inspired by monarch butterfly, aiming at improving disassembly efficiency through the utilization of human-robot collaboration in the context of a hybrid disassembly line for repetitive or hazardous tasks. The model in this paper provides the basis of solving the multi-objective problem and the mixed integer programming problem. The purpose is to improve the profit in the human robot cooperation environment, and reduce the standby time of the workstation as much as possible. Comparison of this algorithm with other intelligent optimization algorithms with experiments shows its competitive performance in both profit and idle time. © 2024 IEEE.

关键词： Profitability

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An Incentive Framework for Task Offloading in Edge Computing Marketplaces under Price Competition

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IEEE Transactions on Mobile Computing 2025年

作者： Wu, Liantao Sun, Peng Wang, Zhibo Pang, Xiaoyi Hu, Jiahui Chen, Honglong Yang, Yang Shanghai200062 China Hunan University College of Computer Science and Electronic Engineering Changsha410082 China Zhejiang University College of Computer Science and Technology Hangzhou310027 China College of Control Science and Engineering Qingdao266580 China IoT Thrust Guangzhou510000 China

To efficiently execute tasks, computation resource requesters (CRRs) with limited resources can offload their tasks to nearby computation resource providers (CRPs) with spare computing capacity. These CRPs require appropriate incentives to compensate for their incurred costs when helping process the offloaded tasks. Although several mechanisms have been designed to incentivize CRPs, none of them have investigated the incentive mechanism considering price-setting and price-taking CRPs simultaneously. In this work, we propose an incentive framework for task offloading in the edge computing marketplace that includes both price-setting and price-taking CRPs. We model the CRR's interactions with both types of CRPs as a three-stage Stackelberg game to maximize the profit for both the CRR and CRPs. We prove the existence of a unique subgame perfect equilibrium (SPE) of the formulated game and further develop iterative algorithms for the CRR and price-setting CRPs to achieve the equilibrium. Through the designed algorithms, each CRP does not require complete information about the CRR and other CRPs. Extensive simulations demonstrate that offloading tasks to both price-setting and price-taking CRPs achieves higher profits for the CRR and price-setting CRPs compared to offloading tasks solely to price-setting CRPs. Additionally, the obtained SPE can achieve near-optimal social welfare. © 2002-2012 IEEE.

关键词： Computation offloading

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EDB-Net: An Edge-Guided Dual-Branch Neural Network for Skin Cancer Classification 27th

EDB-Net: An Edge-Guided Dual-Branch Neural Network for Skin...

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27th International Conference on Pattern Recognition, ICPR 2024

作者： Ray, Amartya Gayen, Soumyajit Kaplun, Dmitrii Sarkar, Ram Department of Computer Science and Engineering Jadavpur University Kolkata India Artificial Intelligence Research Institute China University of Mining and Technology Xuzhou China Department of Automation and Control Processes Saint Petersburg Electrotechnical University "LETI" Saint Petersburg Russia

ISBN: (纸本)9783031781032

Skin cancer poses a serious global health challenge, where timely and precise diagnosis is essential to improve patient outcomes. Recently, neural networks have proven to be highly effective tools for automated skin cancer classification, significantly advancing the field of dermatology. This paper introduces a novel approach to generate edge maps from dermoscopic images using a holistically nested edge detector model. These edge maps enhance the detection of shape and symmetry irregularities, which are key indicators of malignancy, and improve the focus on relevant regions of interest. We then propose an edge-guided dual-branch neural network, called EDB-Net, for the classification task. Branch 1 handles edge maps, while Branch 2 processes original dermoscopic images. To highlight significant regions and focus on specific lesion areas, we incorporate a novel channel-spatial synergistic attention block within Branch 2. Additionally, we introduce a unique strategy to modulate the generated attention maps using edge features extracted from the edge maps in Branch 1, creating edge-guided features that refine the overall feature representation. In the final stage, both edge-guided and attention-aided features are combined, producing more distinct and contextually relevant outputs, thereby significantly enhancing classification performance. Our model achieves accuracies of 0.927 and 0.848 on the challenging HAM10000 and ISIC 2016 datasets, respectively, without employing any data augmentation. The source code of the proposed model is available at: https://***/Cmatermedicalimageanalysis/EDB_Net. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Lung cancer

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