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Empirical evaluation of multi UAV coverage path planning for aerial surveying 20

Empirical evaluation of multi UAV coverage path planning for...

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20th Annual international conference on distributed computing in Smart sensor systems and the Internet of Things (DCOSS-IoT)

作者： Wubben, Jamie Matos-Carvalho, Joao P. Pedro, Dario Tomic, Slavisa Calafate, Carlos T. Univ Politecn Valencia Dept Comp Engn Valencia Spain Univ Nova Lisboa Ctr Technol & Syst P-2829516 Caparica Portugal Univ Lusofona COPELABS Campo Grande 376 P-1749024 Lisbon Portugal BV Vis P-2610161 Lisbon Portugal

ISBN: (纸本)9798350369458;9798350369441

Unmanned Aerial Vehicles (UAVs) are being increasingly used for various tasks, including aerial surveys whereby a drone flies over a region of interest and takes photos. Often, these photos are then used to create one (3D) map, which can be used for later inspection. However, in some cases, this region of interest can be rather large, and performing the survey with a single UAV may take a long time. Besides the inconveniences, this can also worsen the quality of the (3D) map due to changing weather conditions over the day. Consequently, it is advantageous to parallelize this task by deploying multiple UAVs simultaneously. Nevertheless, when using multiple UAVs, the path-planning stage becomes more complicated. Despite multiple works concerning this multi-UAV coverage path planning (CPP) algorithms can be found in the literature, they fail to focus on the practical implications and outcomes of deploying multiple UAVs for survey missions. Hence, in this work, we address this research gap by performing real world tests,comparing the results between a single UAV coverage mission and a multi-UAV coverage mission. In order to do so, we first had to implement a multi-UAV CPP algorithm. To remain focused on the differences between a single and multi-UAV coverage mission, we implemented a simple CPP algorithm (i.e. the back-and-forth method). Then we performed multiple simulations to (i) verify our implementation, and (ii) to measure the difference in flight times (between multi and single UAV coverage missions). Once our implementation was verified in simulation, we performed real world tests. During the tests, the UAVs took images, which were used to create a (3D) map of the region. We then compared the differences between a map generated by only one UAV, and by multiple UAVs. From our experiments, we can conclude that we can reduce the total time to cover an area significantly without lowering the quality of the (3D) map.

关键词： Multi-UAV survey mission path planning 3D mapping

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Performance analysis of PSO for solving coverage problem in WSN 3

Performance analysis of PSO for solving coverage problem in ...

引用

3rd international conference on Secure Cyber computing and Communications, ICSCCC 2023

作者： Bhat, Praneetha P Geetha, V. National Institute of Technology Karnataka Department of Information Technology Mangalore575025 India

ISBN: (纸本)9798350300710

A Wireless sensor Network consists of a large number of nodes which gather information from the surroundings and transmit it to other sensor nodes in the network. To maximize this area covered is the main task in a wireless sensor network. The gaps created due to the deployment of nodes leads to coverage holes, which leads towards the non area coverage and communication coverage. In this paper, we explore different deployment methods and use Particle Swarm Optimization (PSO) to maximize area coverage of a given region. Our work explores the deterministic and random deployment techniques for sensor nodes to achieve maximum coverage with respect to both area and target and usage of PSO to optimize the solution. The results are compared with PSO with deterministic deployment of sensors in a given region. © 2023 ieee.

关键词： sensor nodes

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Power Generation Performance of distributed Photovoltaic systems Based on Perovskite Solar Cells 3

Power Generation Performance of Distributed Photovoltaic Sys...

引用

3rd international conference on Energy, Power and Electrical Technology, ICEPET 2024

作者： Zhang, Jinxia Li, Xiaolei Yang, Shuo Sun, Peijun Wang, Jixue Tan, Hairen China Electric Power Planning & Engineering Institute Beijing China Nanjing University Nanjing China

ISBN: (纸本)9798350352658

distributed photovoltaic systems are one of the key technologies for achieving China's carbon peaking and carbon neutrality goals, with their continuous development and technological progress being crucial. This study focuses on six representative cities in China, comparing and analyzing the power generation performance of rooftop distributed photovoltaic systems based on perovskite solar cells against those using traditional silicon solar cells. The research found that in all the cities examined, photovoltaic systems employing perovskite solar cells demonstrated higher efficiency compared to systems based on silicon solar cells, with efficiency improvement ranging between 7.0% and 9.9%, especially notable in Haikou and Chongqing with higher annual average temperature or lower light irradiance. This performance advantage mainly stems from the low temperature coefficient and superior performance under low-intensity light irradiance of perovskite solar cells. Additionally, the power generation performance of perovskite cells exhibits lower sensitivity to weather changes, contributing to the overall stability of photovoltaic systems. The widespread application of perovskite photovoltaic technology is expected to further enhance the efficiency and stability of China's distributed photovoltaic systems, providing valuable technical support for China's energy transition. © 2024 ieee.

关键词： Photovoltaics

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Control of Hybrid distributed Energy Resources with Storage Connected to Microgrid 3

Control of Hybrid Distributed Energy Resources with Storage ...

引用

3rd ieee international conference on Electrical Power and Energy systems, ICEPES 2024

作者： Bihari, Saket Singh, Anand LNCTU Electrical & Electronics Department Bhopal India

ISBN: (纸本)9798350390728

As global warming continues to accelerate, distributed generators based on renewable energy sources play an important role in power generation. Wind, solar, diesel generators, genets and battery storage systems will provide large amounts of electricity in the near future. Powered by a variety of renewable and unconventional micro power sources, these distributed power sources offer benefits such as environmental friendliness, scalability, and adaptability, making them an attractive option for modern power system designs. A micro grid is a system of consistent loads and DG that operate as a single manageable unit. This setup reduces inefficiencies caused by multiple reverse power conversions in conventional alternating current or direct current grids. It also helps integrate variable renewable energy sources and loads, whether alternating current or direct current, into power systems. Regulars can modify the micro grid to meet specific needs, such as improving local reliability, reducing feeder losses, providing local voltage support, improving efficiency through waste heat utilization, reducing voltage sag or Providing uninterrupted power. Solar panels, wind turbines, generators and batteries provide electricity in these micro grids. The control system of the inverter has been updated to allow correct conversion from alternating current to direct current and direct current to Alternating current. Furthermore, the performance of the optimal fuzzy controller is equivalent to that of the proportional-integral controller. © 2024 ieee.

关键词： Waste heat utilization

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Dynamic Topology Optimizing Magnetic Circuits for Underwater systems for Improved Performance and Efficiency 3

Dynamic Topology Optimizing Magnetic Circuits for Underwater...

引用

3rd international conference on Electronics and Renewable systems, ICEARS 2025

作者： Sathish, K. Saveetha School of Engineering Department of Electronics and Communications Engineering Chennai602105 India

ISBN: (纸本)9798331509675

This study explores the dynamic topology optimization of magnetic circuits for underwater systems, aiming to enhance both performance and efficiency through advanced computational techniques. By optimizing the magnetic flux density, minimizing material volume, and improving the BL (force) factor, the methodology ensures superior system functionality. The results reveal significant achievements, including a magnetic flux density of up to 1.8 Tesla, a 30% reduction in material volume, and a 25% enhancement in the BL factor, enabling higher electromagnetic force generation. The optimization framework also successfully satisfies threshold conditions for magnetic saturation and structural integrity, demonstrating its robustness and suitability for underwater environments. These findings underscore the transformative potential of topology optimization in designing sustainable and efficient magnetic systems, especially for operation in challenging underwater conditions. © 2025 ieee.

关键词： Wireless sensor networks

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Reliability analysis of distributed electric aircraft propulsion system 3

Reliability analysis of distributed electric aircraft propul...

引用

3rd international conference on Energy, Power and Electrical Technology, ICEPET 2024

作者： Li, Yongtao Civil Aviation University of China College of Electronic Information and Automation Tianjin China

ISBN: (纸本)9798350352658

The distributed electric propulsion system utilizes electric power to drive multiple thrusters as the aircraft's propulsion devices. The structure design of the electric propulsion system is complex, with numerous components, and the calculation of the system's reliability evaluation is extremely tedious, making it a difficult point in the reliability evaluation process. This paper is based on the model of the distributed electric propulsion system and uses the GO method combined with the state probability matrix algorithm to perform reliability modeling and simulation calculations on the system. A multi-state SIMULINK simulation model of the system is established in MATLAB. The simulation model's calculation results are consistent with the results obtained through manual calculation using probability formula algorithms, which verifies that the simulation model can improve calculation efficiency and accuracy while ensuring the correctness of the calculation results, providing a basis for the reliability evaluation of distributed electric aircraft propulsion systems. © 2024 ieee.

关键词： Aircraft propulsion

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Optimizing the Integration of distributed Generation, Shunt Capacitors, and Electric Vehicle Charging Stations into Radial Distribution systems 3

Optimizing the Integration of Distributed Generation, Shunt ...

引用

3rd ieee international conference on Power Electronics, Intelligent Control and Energy systems, ICPEICES 2024

作者： Sahay, Sumeet Biswal, Saubhagya Ranjan Shankar, Gauri Department of Electrical Engineering Jharkhand India Vignan's Foundation for Science Technology and Research Andhara Pradesh India

ISBN: (纸本)9798350387193

Excessive fossil fuel consumption, especially in transportation, remains a global concern. In response to this challenge, electric vehicles have surfaced as a viable remedy, attributed to their longevity and diminished greenhouse gas emissions. However, the rapid proliferation of EVs has introduced new challenges, including increased network power loss, deteriorating voltage profiles, and declining substation power factors. This research paper introduces a novel approach, combining fuzzy multi-objective optimization with African vulture optimization algorithm (AVOA), to study the optimum placement with sizing of distributed generation (DG), shunt capacitors (SC), and electric vehicle charging stations (EVCS) in the radial distribution system (rdS). A thorough comparative analysis is undertaken between the explored two-staged approach for the optimal deployment of DG, SC, and EVCS in rdS and existing literature. The results reveal that the proposed method stands on par with existing techniques, demonstrating its competence in minimizing total line power loss and enhancing voltage profile. © 2024 ieee.

关键词： Charging stations

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Research on distributed computing Power Scheduling Based on Ant Path Optimization 3

Research on Distributed Computing Power Scheduling Based on ...

引用

3rd international conference on Artificial Intelligence, Internet of Things and Cloud computing Technology, AIoTC 2024

作者： Gao, Shijie Wang, Wende Hu, Cong Chen, Chao Liu, Xiaoqiang Jin, Zihan Li, Guangao Beijing China-Power Information Technology Co. LTD. Beijing100192 China State Grid Liaoning Electric Power CO.LTD. Shenyang110000 China State Grid Anhui Electric Power CO.LTD. Information and Telecommunication Branch Hefei230000 China North China Electric Power University Beijing102208 China State Grid Liaoning Electric Power CO.LTD. Information and Telecommunication Branch Shenyang110000 China

ISBN: (纸本)9798331530280

This study solves the problem of data fusion caused by multi-source and cross-domain power business data, proposes a cross-domain computing capability model for the entire network based on the data middle platform, realizes the sharing and computing of multi-source data, and provides a new solution for the challenges of data centers. It also designs a cross-domain computing power scheduling algorithm based on ant path optimization, significantly improves the accuracy and stability of computing power scheduling through heuristic information design, etc. Experimental verification shows that the algorithm is superior to existing distributed scheduling algorithms in terms of scheduling overhead, etc., and is suitable for the multi-source cross-domain data fusion computing scenarios in data centers. The innovation lies in the introduction of the path optimization idea of the ant algorithm, overcomes the problems of traditional scheduling algorithms, and provides examples and method support for the optimization of power data management and distributed data processing technology in other fields. © 2024 ieee.

关键词： Data centers

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A Reliability Index Deviation Allocation Method for Distribution System with distributed Generation 3

A Reliability Index Deviation Allocation Method for Distribu...

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3rd international conference on Energy and Electrical Power systems (ICEEPS)

作者： Zhou, Yangjun Pan, Juntao Zhang, Wei Yi, Chenying Huang, Weixiang Li, Shan Feng, Bin Zhou, Yuanchao Wu, Lifang Guangxi Power Grid Co Ltd Guangxi Key Lab Intelligent Control & Maintenance Elect Power Res Inst Nanning Peoples R China Guangxi Power Grid Co Ltd Nanning Peoples R China Guangxi Power Grid Co Ltd Nanning Power Supply Bur Nanning Peoples R China

ISBN: (纸本)9798350375145;9798350375138

The access of distributed generation will increase the complexity of reliability evaluation, which will affect the accuracy of theoretical reliability evaluation value. Therefore, it is necessary to allocate the deviation between the true value and the theoretical value of the reliability index to the parameters of each component, and to correct the parameters purposefully that are allocated to more deviations. In this paper, firstly, the reliability model of distributed generation is established. Then, the improved proportional allocation method is used to calculate the contribution rate of each parameter to the system index, and the index deviation is allocated based on this. Next, after eliminating the parameters that contribute more to the deviation, the values of these parameters are calculated inversely through establishing the optimization model by using the known system reliability indexes, realizing the correction of the parameters. Finally, a distribution system for RBTS Bus 6 is introduced as standard case to demonstrate the accuracy of the proposed method.

关键词： distributed generation reliability model the improved proportional allocation method parameter correction

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Congestion-aware Optimal Data rate Selection for Efficient Routing in Wireless Rechargeable sensor Network 3

Congestion-aware Optimal Data rate Selection for Efficient R...

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3rd international conference on Advances in computing, Communication, Embedded and Secure systems, ACCESS 2023

作者： Susan T, Siron Anita Nithya, B. Ameen, Abdulla Rajkumar, Sarvesh National Institute of Technology Computer Science and Engineering Tiruchirappalli India

ISBN: (纸本)9798350346169

Wireless Rechargeable sensor Nodes (WRSNs) are widely used to sense, collect, and process data or signals transmitted among people, the environment, and computer systems. However, it faces severe threats such as congestion, resource deprivation, security risk, limited communication speed, high cost, limited bandwidth, and so on. To address some of these issues and to improve the QoS, this paper proposes an Adaptive Rate Determined Congestion Management (ArdCM) approach. It adopts a feedback-based system in which the incoming data rate is managed to increase when congestion is low and decrease when congestion is high. It guarantees congestion free data flow between upstream and downstream in data communication by controlling the data rate and buffer occupancy. The proposed approach is simulated on NS2 with varying numbers of active nodes in a simulated environment. The proposed model's performance is evaluated by comparing the Packet Delivery Ratio(PDR), Packet Loss Ratio(PLR), delay, and throughput to the existing algorithms. © 2023 ieee.

关键词： sensor nodes

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