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Towards distributed Multi-Target Tracking Using Teams of Mobile Robots 3

Towards Distributed Multi-Target Tracking Using Teams of Mob...

引用

3rd international conference on Artificial Intelligence, Automation, and High-Performance Computing, AIAHPC 2023

作者： Zhang, Hongru Royal Melbourne Institute of Technology University School of Engineering Melbourne Australia

ISBN: (数字)9781510666580

ISBN: (纸本)9781510666573

Multi-Robot Multi-Target Tracking (MR-MTT) addresses the problem that a swarm of mobile robots actively detect and move to maintain surveillance of a team of dynamic targets, which is a fundamental problem in the modern robot system and has enormous potential in numerous fields. This paper investigates a series of MR-MTT algorithms, with detailed demonstrations of two distributed approaches to solving MR-MTT in finite iterations. On the one hand, a novel local algorithm is introduced to solve multi-robot multi-target assignments within limited communication rounds. On the other hand, an innovative coverage control algorithm combined with a probability hypothesis density (PHD) filter for target estimation is derived to settle detection and tracking tasks simultaneously. Both algorithms are analysed and discussed mathematically, with simulation experiments demonstrating their efficacy and performance. It is concluded that both algorithms solve the MR-MTT problem in terms of optimal coverage and optimal target estimation, respectively. © 2023 SPIE.

关键词： Multipurpose robots

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Differential Privacy Federated Learning based Privacy-Preserving Transmission Scheme of distributed PV Stations 3

Differential Privacy Federated Learning based Privacy-Preser...

引用

3rd international conference on Energy Engineering and Power systems, EEPS 2023

作者： Li, Zhihai Zhou, Yuze Li, Wei Yang, Yan Deng, Boya Chen, Hui Nanjing Nari Information & Communication Technology Co. Ltd State Grid Electric Power Research Institute Co Ltd Nanjing China State Grid Jiangsu Electric Power Co. Ltd Changzhou Power Supply Branch Changzhou China

ISBN: (纸本)9798350313857

As a renewable and sustainable energy source, solar energy is attracting more and more attention, where photovoltaics being one of the primary ways. However, the distributed nature of the PV stations raises serious privacy issues, as the data for each PV station is owned by different utilities that are unwilling to share their data. In order to effectively ensure data security and privacy, this paper proposes a novel federated learning (FL)-based distributed PV station transmission framework. Since the private information can still be leaked by analyzing the uploaded parameters of PV stations. Differential privacy (DP) algorithm is added to the proposed FL-based PV station transmission framework by inserting artificial noise before the aggregation process of FL, so that the attacker cannot tell whether a particular customer is included in the dataset or not. The simulation results evaluate the performance of the proposed algorithm with different data distribution, privacy leakage and DP mechanisms. © 2023 IEEE.

关键词： Transmissions

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Design of a Credibility Evaluation System Based on a Unstructured Multi-Center Blockchain Security Architecture 24

Design of a Credibility Evaluation System Based on a Unstruc...

引用

3rd international conference on Computer, Artificial Intelligence and Control Engineering, CAICE 2024

作者： Chen, Lina Zeng, Mingfei Li, Siwei Meng, Chunzhi Feng, Songyao Information Communication Branch Guangxi Grid Company Nanning530012 China

ISBN: (纸本)9798400716942

This paper designs a distributed multi-center identity authentication system based on blockchain technology. By supporting fine-grained declaration descriptions and privacy credentials related to zero-knowledge proof, the system achieves discretionary control of entities, privacy protection of user identities, and trusted data exchange. Since most blockchain-based identity authentication systems are based on public blockchain platforms, they are in essence traditional centralized identity management and verification methods. Therefore, this study establishes an open, transparent, trustworthy underlying identity architecture for users and upper-level applications, demonstrating the effectiveness and usability of the designed system through performance analyses and experiments. © 2024 ACM.

关键词： Authentication Protocol

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Improved Synergetic Control Based Droop Strategy for Power Sharing of distributed Generators in AC Microgrid 3

Improved Synergetic Control Based Droop Strategy for Power S...

引用

3rd international conference on New Energy and Power Engineering, ICNEPE 2023

作者： Zuo, Xuke Cheng, Zixia Li, Fangyuan Liu, Yanhong Zhengzhou University School of Electrical and Information Engineering Zhengzhou450001 China

ISBN: (纸本)9798350393224

Microgrids are recognized as vital components to integrate renewable energy resources in future power systems. distributed generators (DGs) are power electronics interfaced via converters to support the microgrids. Energy storage systems (ESS) can also provide energy for microgrids. The active and reactive power output of DGs can control the frequency and voltage of the microgrid. Droop control can reflect this control mechanism widely applied in power converters. This paper proposes an improved droop control mechanism for power converters to achieve better performance using the synergetic control-based algorithm. The proposed improved method can control the voltage magnitude and frequency to the nominal value. The convergence of improved control strategy is also given. Finally, the simulation results of two DGs are given to verify the improved method proposed in this paper. © 2023 IEEE.

关键词： improved droop control microgrid Power sharing

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Location of Fault Segment on Feeder through Cooperation between Distribution Master Station and Terminals with Access of Small Hydro-power 3

Location of Fault Segment on Feeder through Cooperation betw...

引用

3rd international conference on Energy Engineering and Power systems, EEPS 2023

作者： Li, Kewen Zhang, Wei Chen, Qianyi Ou, Shifeng Chen, Shaonan Electric Power Research Institute Guangxi Power Grid Co. Ltd. Nanning China

ISBN: (纸本)9798350313857

The integration of distributed power generation (DG) presents a multi power supply pattern for the feeder, which has a negative impact on the section positioning using over-current component in the remote control type feeder automation (RCTFA) coordinated by the distribution master station (DMS) and terminal (FTU). In response to this impact, this article propose to use over-current judgement to combine with direction judgement based on power frequency variation (PFV) for fault section localization in small hydro-power (SH) scenarios, using only 1 and 0 to represent fault information, and then upload remote signaling data (RSD) to the DMS, which can accurately locate the faulty section by applying section judgment logic in combination. This method is applicable to various situations where small hydropower is put into operation, as well as when it is out of operation. The small current Earthing system (SCES) with SH connected to the feeder is built on the simulation software. The simulation results and the judgment of the DMS prove that the method proposed in this paper can accurately determine the fault section. © 2023 IEEE.

关键词： distributed power generation

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A distributed Method to Form UAV Swarm based on Moncular Vision 28

A Distributed Method to Form UAV Swarm based on Moncular Vis...

引用

IEEE 28th international conference on parallel and distributed systems (IEEE ICPADS)

作者： Jia, Yingchao Gao, Yan Wang, Huibin Chen, Ming Nanjing Univ Aeronaut & Astronaut Coll Comp Sci & Technol Nanjing 211106 Peoples R China Chinese Inst Elect Beijing 100840 Peoples R China Chuzhou Univ Coll Comp & Informat Engn Chuzhou 239000 Anhui Peoples R China Nanjing Univ Aeronaut & Astronaut Inst Comp Sci & Technol Nanjing 210016 Peoples R China

ISBN: (纸本)9781665473156

The intermittent communication links or satellite navigation signals of UAV nodes will make it difficult for them to form a swarm through information exchange, this paper proposes a distributed method to form UAV swarm based on monocular vision information. Firstly, we construct a distributed swarm control model based on monocular vision information. Secondly, a modified YOLOV3-tiny method is proposed to reduce the resource consumption of target detection through model pruning. Thirdly, a geometric method is proposed to estimate the orientation of target UAVs and the distance to them. Finally, a prototype system is designed and implemented on the Gazebo simulation platform, and swarm flight tests are carried out in various scenarios to verify the feasibility of the proposed method.

关键词： UAV swarm monocular vision distributed control model target detection pruning algorithm vision-based orientation estimation

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An Efficient GPU parallelization of the Jaya Optimization Algorithm and Its Application for Solving Large systems of Nonlinear Equations 3rd

An Efficient GPU Parallelization of the Jaya Optimization Al...

引用

3rd international conference on Optimization, Learning Algorithms and Applications (OL2A)

作者： Silva, Bruno Lopes, Luiz Guerreiro Univ Madeira Doctoral Program Informat Engn Funchal Portugal Reg Govt Madeira Reg Secretariat Educ Sci & Technol Funchal Portugal Univ Madeira Fac Exact Sci & Engn P-9020105 Funchal Portugal

ISBN: (纸本)9783031530357;9783031530364

This paper presents a new GPU-accelerated parallel version of Jaya, a simple and efficient population-based optimization algorithm that has attracted increasing interest in different areas of science and engineering. Jaya has recently been demonstrated to be relatively effective at solving nonlinear equation systems, a class of complex, challenging problems that are hard to solve using conventional numerical methods, especially as the size of the systems increases. This class of problems was chosen to illustrate the application of the proposed GPU-based parallel Jaya algorithm and its efficiency in solving difficult large-scale problems. The GPU parallelization of Jaya was implemented and tested on a GeForce RTX 3090 GPU with 10 496 CUDA cores and 24 GB VRAM, using a set of scalable nonlinear equation system problems with dimensions ranging from 500 to 2000. When compared with the Jaya sequential algorithm, the parallel implementation provides significant acceleration, with average speedup factors between 70.4 and 182.9 in computing time for the set of problems considered. This result highlights the efficiency of the proposed GPU-based massively parallel version of Jaya.

关键词： Metaheuristic optimization Jaya algorithm parallel GPU algorithms CUDA Nonlinear equation systems

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Research on the Construction of Chinese-English Bilingual parallel Corpus for Translation Teaching in Colleges and Universities 24

Research on the Construction of Chinese-English Bilingual Pa...

引用

3rd international conference on Artificial Intelligence and Education, ICAIE 2024

作者： Bi, Yanyan Ma, Liang Qingdao Institute of Technology Shandong Qingdao China

ISBN: (纸本)9798400712692

With the digital and informational transformation of education and teaching, translation teaching in colleges and universities has ushered in a more convenient and efficient new teaching means and methods. As a key digital teaching resource, Chinese-English bilingual parallel corpus has greatly promoted the development of translation teaching with rich translation examples and contextual information. However, at present, Chinese-English bilingual parallel corpora are faced with some problems, such as limited scale, insufficient accuracy of corpus alignment and lack of unified standards and norms, which cannot meet the actual needs of translation teaching at different levels and fields. In this regard, based on the current situation, this paper will propose a set of Chinese-English bilingual parallel corpus construction scheme by combining artificial intelligence and deep learning technology, and establish a brand-new corpus design and development paradigm to strengthen the strong support for translation teaching in colleges and universities. Practice has proved that the Chinese-English bilingual parallel corpus based on Bidirectional Long Short-Term Memory (Bi-LSTM) is obviously superior to the current corpus in terms of corpus processing efficiency and translation accuracy, and has become a platform for students to deeply understand and practice translation skills, further enriching the teaching content and teaching methods of translation in colleges and universities, and making positive contributions to promoting the integration, innovation and high-quality development of translation education in colleges and universities. © 2024 Copyright held by the owner/author(s). Publication rights licensed to ACM.

关键词： Deep learning

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Research on Traceability of Agricultural Products Based on Internet of Things Technology in Jilin Province 3

Research on Traceability of Agricultural Products Based on I...

引用

3rd IEEE international conference on Social Sciences and Intelligence Management, SSIM 2023

作者： Sun, Jian Bin, Zhao Jilin Agricultural Science and Technology University Jilin China Jilin Chemical Group Information Network Technology Co. Ltd. Jilin China

ISBN: (纸本)9798350327786

Agricultural products require processes from planting and management to picking, storage, transportation, and sales. However, such many processes threaten the quality and safety of the products. Using blockchain technology, we explored the traceability of agricultural products focusing on how to implement smart contract algorithms. Through a literature review, it was found that the traditional traceability process of agricultural products suffered from opaque information and insufficient traceability. The distributed archive and smart contract technologies in blockchain provide a new direction to solve these problems. The core concepts of blockchain technology and the design concepts and algorithmic execution of smart contracts were reviewed in this study. We created a specific agricultural product traceability scenario and conducted a comparative analysis using smart contract technology. The results of the study showed that agricultural product traceability was improved providing safety and efficiency. Ultimately, we made suggestions for using blockchain technology for traceability in agriculture. © 2023 IEEE.

关键词： Blockchain

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Power Prediction of Photovoltaic Power Plant Based on Double-loop distributed Gradient Boosting Algorithm 3

Power Prediction of Photovoltaic Power Plant Based on Double...

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3rd international conference on Machine Learning and Computer Application, ICMLCA 2022

作者： Wang, Hai Xu, Lin He, Zheng Dong, Huanhuan ZhongNeng Integrated Smart Energy Technology Co. Ltd Beijing China

ISBN: (纸本)9781510664814

With the increasingly prominent problems of energy carbon emissions, environmental pollution, and climate change, China has further accelerated the construction of new energy sources to deal with a series of ecological problems. China's new energy structure mainly relies on photovoltaic and wind power generation. In addition, wind and solar power generation also has problems such as instability and strong randomness, so existing big data and artificial intelligence can be used to solve this problem and improve wind and solar forecasting. In this paper, a double-loop distributed gradient enhancement algorithm is used to improve the power prediction accuracy of photovoltaic power plants, which effectively solves the shortcomings of slow speed and poor prediction stability in photovoltaic power prediction, and ensures the power dispatching problem based on new power systems. © 2023 SPIE.

关键词： Solar power generation

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