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24th International Conference on Algorithms and architectures for Parallel Processing, ICA3PP 2024

作者： Yang, Tingting Wang, Yiqian Zhu, Jie Chang, Shuyu Huang, Haiping Nanjing University of Posts and Telecommunications Nanjing210003 China State Key Laboratory Chinese of Computer Architecture Institute of Computing Technology Academy of Sciences Beijing100864 China Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks Nanjing210003 China

ISBN: (纸本)9789819615278

Unmanned Aerial Vehicles (UAVs) have emerged as integral components in logistics systems, where their potential for efficient delivery services is being explored. However, the limited battery capacity of UAVs poses a significant challenge for long-distance delivery applications. In this paper, we investigate a hybrid problem involving UAV trajectory planning and charging scheduling for long-distance logistics systems with a charging network. In the problem under study, multiple UAVs are assigned long-distance delivery tasks. A UAV can stop at any charging station in the charging network to charge if it is in a low-energy state. An Ant Colony Optimization-based UAV Trajectory Planning and Charging Scheduling (ACO-TPCS) algorithm is proposed to minimize task completion time by optimizing UAV trajectory and charging plans. The main framework of the ACO-TPCS algorithm consists of several key components, including reachable graph construction, candidate flight path generation, pheromone matrix construction, ant generation, feasible solution generation, and pheromone update method. All these components are delicately designed. Through extensive experimentation and comparison with baseline algorithms, we demonstrate the effectiveness of the ACO-TPCS algorithm in addressing the problem under study. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Ant colony optimization

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Design and implementation of power socket soldering robot arm system 4

Design and implementation of power socket soldering robot ar...

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2024 4th International Conference on Artificial Intelligence and Industrial technology Applications, AIITA 2024

作者： Liu, Jingqiao Wu, Shuqin Lin, Zicheng Zhang, Huimin Fan, Yong Xie, Wu School of Mechanical and Electrical Engineering Guilin University of Electronic Technology Guilin541004 China School of Architecture and Transportation Engineering Guilin University of Electronic Technology Guangxi Guilin541004 China School of Computer Science and Information Engineering Guangxi Normal University Guilin541004 China School of Computer Science and Information Security Guilin University of Electronic Technology Guilin541004 China

In order to solve the problem of high cost and low efficiency in manual welding of power socket welding components, a soldering robot arm system was developed. The gripper, 5-DOF manipulator, clamp, support, and control system were designed. The coordinate system of the robot arm was constructed, and the working space of the robot arm was analyzed by using the MATLAB robot toolbox. It was concluded that the x0 coordinate range of the welding working area was [175mm, 215mm], the y0 coordinate range was [55mm, -55mm], and the z0 coordinate was 90mm. At the same time, the motion trajectory of the robot arm was determined. Using Raspberry PI as a controller, the control system is developed by programming Python language. The prototype is made, and a welding test is carried out. The test shows that the system has completed the welding operation, and the welding effect is good. © Published under licence by IOP Publishing Ltd.

关键词： MATLAB

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HTDet:A Clustering Method Using Information Entropy for Hardware Trojan Detection

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Tsinghua Science and technology 2021年第1期26卷 48-61页

作者： Renjie Lu Haihua Shen Zhihua Feng Huawei Li Wei Zhao Xiaowei Li the University of Chinese Academy of Sciences Beijing 101408China Beijing Institute of Computer Technology and Application Beijing 100854China the State Key Laboratory of Computer Architecture Institute of Computing TechnologyChinese Academy of SciencesBeijing 100190China

Hardware Trojans(HTs)have drawn increasing attention in both academia and industry because of their significant potential *** this paper,we propose HTDet,a novel HT detection method using information entropybased *** maintain high concealment,HTs are usually inserted in the regions with low controllability and low observability,which will result in that Trojan logics have extremely low transitions during the *** implies that the regions with the low transitions will provide much more abundant and more important information for HT *** HTDet applies information theory technology and a density-based clustering algorithm called Density-Based Spatial Clustering of Applications with Noise(DBSCAN)to detect all suspicious Trojan logics in the circuit under *** DBSCAN is an unsupervised learning algorithm,that can improve the applicability of *** addition,we develop a heuristic test pattern generation method using mutual information to increase the transitions of suspicious Trojan *** on circuit benchmarks demonstrate the effectiveness of HTDet.

关键词： Hardware Trojan(HT)detection information entropy Density-Based Spatial Clustering of Applications with Noise(DBSCAN) unsupervised learning clustering mutual information test patterns generation

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Implementation of Cloud Computing and Internet of Things (IoT) by Performance Evaluation 12

Implementation of Cloud Computing and Internet of Things (Io...

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12th International Electrical Engineering Congress, iEECON 2024

作者： Sithiyopasakul, Jiran Archevapanich, Tuanjai Sithiyopasakul, Saran Lasakul, Attasit Purahong, Boonchana Benjangkaprasert, Chawalit School Of Engineering King Mongkut's Institute Of Technology Ladkrabang Bangkok Thailand Rajamangala University Of Technology Suvarnabhumi Faculty Of Engineering And Architecture Department Of Electronics And Communication Engineering Nonthaburi Thailand School Of Engineering King Mongkut's Institute Of Technology Ladkrabang Department Of Computer Engineering Bangkok Thailand

ISBN: (纸本)9798350383591

The integration of cloud computing and the Internet of Things (IoT) holds transformative potential across diverse industries. Performance assessment is essential to gauge the quality and efficiency of cloud computing and IoT systems. This paper presents a comprehensive performance evaluation of cloud computing and IoT systems, focusing on three major platforms: Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure. Experimental results encompass various scenarios, including normal operation, heavy load conditions, IoT applications, and scalability testing. The outcomes reveal distinct performance metrics such as response time, throughput, latency, and reliability for each cloud platform. © 2024 IEEE.

关键词： Internet of things

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Performance Evaluation of Infrastructure as a Service across Cloud Service Providers

Performance Evaluation of Infrastructure as a Service across...

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2023 International Electrical Engineering Congress, iEECON 2023

作者： Sithiyopasakul, Saran Archevapanich, Tuanjai Purahong, Boonchana Sithiyopasakul, Paisan Lasakul, Attasit Benjangkaprasert, Chawalit School of Engineering King Mongkut's Institute of Technology Ladkrabang Department of Computer Engineering Bangkok Thailand Rajamangala University of Technology Suvarnabhumi Faculty of Engineering and Architecture Department of Electronics and Communication Engineering Nonthaburi Thailand

ISBN: (纸本)9798350332360

The purpose of this research aims to monitor, analyze, and compare the performance of infrastructure as a service (IaaS) between the selective cloud providers. To assure which cloud provider has more stability, reliability, and scalability. This paper focuses on performance testing based on a deployed web server in the cloud environment. The main feature of cloud computing is scalability thus most common IaaS cloud service providers (CSPs) have Auto Scaling features for instances or virtual machines. Not only does this paper gives the experimental results of the scaling scalability testing, but it also provides the results of recovery testing to inspect how long a web server is able to recover from failures and load testing which simulated traffic requests. Testing was conducted in the major public clouds of Google Cloud Platform (GCP), Microsoft Azure, and Amazon Web Services (AWS). Azure performs the most efficiently of almost all testing but hardest to configure. © 2023 IEEE.

关键词： Virtual machine

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Cybersecurity in local governments: A systematic review and framework of key challenges

Urban Governance

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Urban Governance 2025年第1期5卷 1-19页

作者： Hossain, Sk Tahsin Yigitcanlar, Tan Nguyen, Kien Xu, Yue City 4.0 Lab School of Architecture and Built Environment Queensland University of Technology 2 George Street Brisbane 4000 QLD Australia School of Electrical Engineering and Robotics Queensland University of Technology 2 George Street Brisbane 4000 QLD Australia School of Computer Science Queensland University of Technology 2 George Street Brisbane 4000 QLD Australia

Cybersecurity has emerged as a critical concern in modern urban governance, as local governments now extend their responsibilities beyond traditional infrastructure management to safeguard digital systems and citizen data in increasingly digitised smart city environments. Despite the importance of robust cybersecurity measures, there is a concerning gap—i.e., local governments often exhibit a cybersecurity posture that is inadequately prepared to counter the rising cyber threats. This discrepancy underscores the urgency for a comprehensive understanding of the challenges restricting effective cybersecurity in local governmental settings. This paper aims to elucidate these challenges of local governments in a structured framework utilising a systematic literature review method named the PRISMA protocol. The findings reveal that the stakes are high when it comes to cybersecurity for local governments, with the key challenges being financial resource constraints, technological vulnerabilities, human factors, and the regulatory framework. This study recommends improving interdepartmental coordination, adopting relevant policies, and executing targeted cybersecurity training to address these challenges. The study also highlights unconventional approaches to mitigate financial and skill resource limitations, including the utilisation of open-source security tools, outsourcing specific cybersecurity functions, and establishing collaborations with local cybersecurity agencies, academic institutions, and the private sector to obtain expertise and advanced resources. Overall, this study offers valuable insights into the critical cybersecurity challenges faced by local governments and provides specific recommendations, equipping urban policymakers, administrators, and researchers with valuable guidance to enhance cybersecurity resilience within this critical yet understudied research domain. © 2024 The Author(s)

关键词： Cyber threat Cybersecurity Local government Municipality Smart city Urban governance

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Detection of COVID-19 Using SIS-CODE Algorithm

Detection of COVID-19 Using SIS-CODE Algorithm

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International Conference on Business Intelligence and Information technology, BIIT 2022

作者： Kim, Daegeon Govathoti, Sudeepthi Department of Architecture Engineering Dongseo University Busan Korea Republic of Department of Computer Science and Engineering GITAM School of Technology GITAM Deemed-to-be-University Telangana Hyderabad India

ISBN: (纸本)9789819934157

The COVID-19 pathological test can be carried out with a sample taken from the nose, the back of the throat, or both, using a special swab. Currently, laboratories are checking through a process called Polymerase Chain Reaction (PCR) on a collected sample from the suspected person. PCR is used to find genetic material on the virus. PCR amplifies the genetic material such that the virus can be detected easily. In general, the PCR process is used to match the genetic material with the virus that causes COVID-19 is unique. Blood tests are also can be done to detect if a person has previously been exposed to the virus or not. This blood test is useful for knowing if a person may have developed immunity. In our paper, we propose a unique technique which will work on the microscopic image of Coronavirus affected tissue and detects the tissue is affected or damaged by the Coronavirus or not. In this research, we use the microscopic image(s) of a smear of epithelial throat/bronchial tract tissue. Firstly, image smoothing is conducted, and then Region of Interest (ROI) is detected. Then that 24-bit colour image (ROI) is converted to grey to bi-colour images using edge detection by setting a threshold. At last, the contours is detected and counted. In our technique, the resultant contours are the affected areas, and the count is the number of possible affected areas, an approximation. Thus, the infection depth can be guessed. Our technique is not only detecting the infection but also identifies the approximate number of attacked spots in a specific tissue area. Thus, the proposed technique identifies the person has COVID-19 or Coronavirus disease. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： COVID-19

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Assessing life-cycle seismic fragility of corroding reinforced concrete bridges through dynamic Bayesian networks 8th

Assessing life-cycle seismic fragility of corroding reinforc...

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8th International Symposium on Life-Cycle Civil Engineering, IALCCE 2023

作者： Molaioni, F. Rinaldi, Z. Andriotis, C.P. Department of Civil Engineering and Computer Science Engineering University of Rome Tor Vergata Rome Italy Faculty of Architecture and the Built Environment Delft University of Technology Delft Netherlands

ISBN: (纸本)9781003323020

Bridge structures are exposed to several chronic and abrupt stressors, among which the combined effects of corrosion and earthquakes pose a major threat to their long-term safety. Probabilistic risk assessment frameworks that quantify and propagate uncertainties inherent to these phenomena are necessary to mitigate this threat. This paper proposes a dynamic Bayesian network for state-dependent seismic fragility functions, capturing corrosion and seismic effects over time. Markovian transitions among deterioration states for different bridge components are developed, combining chloride diffusion and corrosion propagation models with non-stationary Gamma processes. State-dependent fragility curves are derived based on non-linear dynamic time-history analyses given possible degradation configurations of the structure, accounting for uncertainties in material, geometry, and deterioration parameters. Record-to-record variability is captured using synthetic ground motions. Results on a 4-span Gerber bridge showcase the suitability of the framework for describing life-cycle fragility, and its capacity for embedding in advanced algorithmic decision-making workflows is discussed. © 2023 The Author(s).

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Stochastic Task Offloading Problems for Edge Computing 17th

Stochastic Task Offloading Problems for Edge Computing

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17th CCF Conference on computer Supported Cooperative Work and Social Computing, ChineseCSCW 2022

作者： Ding, Kexin Zhong, Zhi Zhu, Jie Nanjing University of Posts and Telecommunications Nanjing210003 China Institute of Computing Technology Academy of Sciences State Key Laboratory Chinese of Computer Architecture Beijing100864 China

ISBN: (纸本)9789819923557

The edge-cloud computing is extensively deployed to provide convenient computing. A stochastic task offloading problem in edge-cloud environment is considered. For the problem under study, a greedy simulated annealing heuristic algorithm based online offloading framework (SAOF) is proposed. In consideration of the stochastic arrival of independent tasks and the heterogeneity of resources, SAOF offloads tasks to cloud servers or edge servers dynamically. During the offloading process, each server preemptively schedules the uncompleted tasks according to the latency-sensitivity of the task. The optimization objective is to minimize the total weighted response time. Experiments are delicately designed on the testing instances with various settings. SAOF is compared with the baseline algorithm. Experimental results indicate that SAOF can more effectively reduce the total weighted response time of all tasks. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Heuristic algorithms

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Accelerate Bit Manipulation in XiangShan Processer Using RISC-V B Extension and Instruction Fusion

Accelerate Bit Manipulation in XiangShan Processer Using RIS...

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2022 International Conference on Cloud Computing, Internet of Things, and computer Applications, CICA 2022

作者： Zhang, Fawang Tang, Dan Cai, Ye College of Computer Science and Software Engineering Shenzhen University Shenzhen China State Key Laboratory of Computer Architecture Institute of Computing Technology Beijing China

ISBN: (纸本)9781510656673

In the field of high-performance computing, some application scenarios make extensive use of bit manipulation. RISC-V foundation issues B extension to reduce the number of instructions during the static compilation. But this extension does not cover the more frequent operations fully. Instruction fusion technology can fuse multiple instructions into one instruction at the decode stage to dynamically reduce the number of instructions. Therefore, this technology can supplement RISC-V B extension uncovered instruction, enhancing the processor’s capabilities for bit manipulation. This paper implements the RISC-V B extension 1.0 version on the Xiangshan processor. For accelerating more bit manipulation, we profiled general benchmarks by the simulator, proposed ten new instructions fusion targets, and implemented a fusion decode unit. Finally, we use Coremark and SPEC CPU 2006 integer to evaluate the performance. The Coremark results show that dynamic instructions reduce by 18.14%, and the performance improves by 12.09%. © 2022 SPIE.

关键词： Decoding

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