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Research on distributed Photovoltaic Monitoring System Based on Internet of Things and Cloud computing 3

Research on Distributed Photovoltaic Monitoring System Based...

引用

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

作者： Qin, Huiling Li, Shuang He, Chengyu Rao, Zhi Gan, Di China Southern Power Grid Company Limited Guangxi Power Grid Corporation Guangxi China China Southern Power Grid Company Limited Energy Development Research Institute Guangdong China

ISBN: (纸本)9798350352658

Due to the depletion of fossil fuels globally and the rapid advancement of solar power generating technologies, solar power generation has increasingly emerged as a viable method for energy development. The concept of a distributed Photovoltaic Power System (DPPS) promotes the generation, connection to the grid, conversion, and utilisation of power in close proximity. This approach has the potential to significantly decrease the consumption of fossil fuels. Managing photovoltaic power stations is becoming challenging due to the proliferation of distributed solar power stations. This study proposes a distributed PV monitoring system that utilises the internet of things (IoT) and cloud computing. The system aims to achieve centralised management of several solar power stations. It offers cloud-based storage, data processing, and retrieval, and delivers a wide range of information to the client. A comprehensive explanation of the operational principles and execution procedure of the suggested plan is provided. This paper discusses a case study focused on achieving remote monitoring and control. In addition, the text explores the interconnected cycle of data generation, transmission, processing, and presentation. © 2024 ieee.

关键词： distributed cloud

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Design of RF sensor Towards Cervical Spondylosis Detection 3

Design of RF Sensor Towards Cervical Spondylosis Detection

引用

3rd international conference on Communication, Control, and Intelligent systems, CCIS 2024

作者： Manoj, M.R. Mukund, R. Balakrishnan, Sakthi Abirami Sowjanya P, Devi Sri Sivasubramaniya Nadar College of Engineering Department of Electronics and Communication Engineering TamilNadu Chennai India Amrita School of Engineering Amrita Vishwa Vidyapeetham Department Ece TamilNadu Chennai India

ISBN: (纸本)9798331528201

In this paper, an antenna is designed to monitor neck posture and detect cervical spondylosis, helping address spine issues caused by the prolonged use of electronic devices. Operating at 2.4 GHz, the antenna's resonance frequency changes as it bends, which means that the wireless neck movement can be tracked. The sensor improves the gain on radiation while decreasing exposure with its proximity to the body. Simulations also reveal that it even reverses the bending under the same performance. The S11 parameter analysis showed a significant frequency shift of 77.5 MHz, whenever there is a deterioration in the C5-C6 and C6-C7 region. It is hence evident that the technology makes cervical spine health monitoring a viable possibility within the digital realm. © 2024 ieee.

关键词： Microwave antennas

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3D Design based on Convolutional Neural Network for Customized Clothing 3

3D Design based on Convolutional Neural Network for Customiz...

引用

3rd ieee international conference on distributed computing and Electrical Circuits and Electronics, ICDCECE 2024

作者： Yu, Dan Zhao, Peipei Academy Of Fine Arts And Design Changchun Humanities And Sciences College Changchun China

ISBN: (纸本)9798350318609

This research presents an innovative 3-D designing methodology that develops personalized clothing in the field of sustainable fashion incorporating deep learning approaches such as Radial Basis Function Convolutional Neural Network (RBF-CNN), probabilistic neural network (PNN), genetic algorithms (GA), and support vector regression (SVR). For the primary phase, a model of human body proportions is formulated using RBF CNNs with the consideration of consumers' requirements so that the final product can be properly fitted. Afterwards, when GA-based models are ultimately used to construct customized design concepts which are in accordance with customer attributes and goals. And, in turn, those suggestions are presented and promoted to consumers through digital means that are built-in with their evaluation score factor. Additionally, PNNs are being developed to be able to evaluate fit using the virtual try-on simulations. In addition, the author creates an SVR-based self-adjusting mechanism that helps to measure and control the fitness feature of cloth design using the feedback of users. The effectiveness of this one-of-a-kind approach is exemplified by a real-world case research of personalization of leisure pants, which was going on recently. © 2024 ieee.

关键词： Convolutional neural networks

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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...

引用

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...

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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...

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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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