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Comprehensive Performance Assessment and Power Prediction Methodology for Bifacial Photovoltaic Solar Panels in Offshore and Rooftop Applications

Comprehensive Performance Assessment and Power Prediction Me...

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2023 international conference for Technological Engineering and its Applications in Sustainable Development, ICTEASD 2023

作者： Chitra, S. Nurullayevna, Nigmatullayeva Gulchekhra Hephzipah, J. Jasmine Priydarshini, Kala Varshney, Neeraj Habelalmateen, Mohammed I. Prashanthi, Bhupathi E.G.S. Pillay Engineering College Biomedical Engineering Tamil Nadu Nagapattinam India Tashkent State University of Economics Green" Economy and Sustainable Business Tashkent Uzbekistan R.M.K. Engineering College Electronics & Communication Engineering Tamil Nadu Chennai India Prince Shri Venkateshwara Padmavathy Engineering College Electrical and Electronics Engineering Chennai India GLA University Computer Engineering and Applications Mathura India The Islamic University Najaf Iraq GRIET Telangana Hyderabad India

ISBN: (纸本)9798350336474

A bifacial solar component incorporates a design that enables the addition of a back electrode to the current framework of the silicon photovoltaic component. Hence, it can harness energy emanating from the front and posterior sides of the element. This work proposes modeling to accurately determine the quantity of energy produced by the back side of the bifacial solar module. By calculating the level of irradiance received from the back side, the predicted power production is then contrasted to the actual power produced from the same side of the module. The trials were conducted in four distinct habitats, each characterized by a unique albedo. The algorithm's theoretical forecast indicates a potential error of 4% and a mean error of 2.46% in the measurement. This research examined the output levels of bifacial solar modules, which get extra irradiation from the back side, in diverse rear surroundings. There has been a recent surge in the construction of floating Photovoltaic systems. The placement of bifacial solar panels has a favorable impact due to the reflecting irradiance from the water surface. The study will enhance zero-energy building by developing systems using bifacial PV modules with a high effectiveness rate for rooftop solar power applications in microgrid environments, representing the future of energy. © 2023 IEEE.

关键词： Solar panels

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computer-aided measurement modeling analysis of behavioral psychology with brain-computer interface analysis

Computer-aided measurement modeling analysis of behavioral p...

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2021 international conference on Artificial Intelligence and Smart systems, ICAIS 2021

作者： Zhang, Weijie Zhang, Zhichen Xiao, Kaitai China Coal Technology and Engineering Group Shenyang Research Institute Emergency Rescue Equipment Research Branch Fushun113000 China

ISBN: (纸本)9781728195377

computer-aided measurement modeling analysis of behavioral psychology with brain-computer interface analysis is conducted in this paper. The use of basic self-organizing data mining methods to measure information industry can not only use mathematical modeling methods to measure the information industry. This paper adopts the brain-computer interface analysis to construct the intelligent framework. Because in the TCP transmission process, the transmission of the load data may be bidirectional or unidirectional. Therefore, there are cases where the client only responds to the data message sent by the server. Therefore, this research work considers the communication model to construct the efficient model. The experiment is also conducted to verify the model and the performed analysis is also efficient. © 2021 IEEE.

关键词： Brain computer interface

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Mathematical Model, Algorithm and computer Code for Analyzing Thin Dielectric Plate Scatterers based on Surface Equivalent Equation and Method of Moments

Mathematical Model, Algorithm and Computer Code for Analyzin...

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Antennas Design and measurement international conference (ADMInC)

作者： Tuan Phuong Dang Adnan F. Alhaj Hasan Talgat R. Gazizov Department of Television and Control Tomsk State University of Control Systems and Radioelectronics Tomsk Russia

ISBN: (数字)9798350390568

ISBN: (纸本)9798350390575

Electromagnetic analysis of dielectric structures is of interest to many researchers due to the wide application of new dielectric and composite materials. Therefore, in this paper, we have carried out a comprehensive analysis of thin dielectric plate structure by the method of moments with pulse basis functions based on the surface equivalent theory with approximate integral solution. We developed a mathematical model based on this approach, and developed an algorithm and computer code based on it for modeling thin dielectric plate structure excited by a TM plane wave. The obtained results were compared with previously published ones calculated using the method of moments with pulse basis functions based on the surface equivalent theory with direct integral solution. The good agreement of the results demonstrated the effectiveness of the mathematical model and the code based on it.

关键词： Codes Surface waves Computational modeling Scattering Approximation algorithms Mathematical models Dielectrics Numerical models MATLAB Method of moments

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Planet Optimization with Machine Learning Enabled Power Usage Forecasting modeling in Smart Grid Environment 6

Planet Optimization with Machine Learning Enabled Power Usag...

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6th Iraqi international conference on Engineering Technology and its Applications, IICETA 2023

作者： Almoussawi, Zainab Abed Kurdi, Waleed Hadi Madhloom Khaleel, Basma Mohammed Al-Attabi, Kassem Sabah, Hawraa Ali Alazzai, Waleed Khalid College of Islamic Science Ahl Al Bayt University karbala Iraq Altoosi University College Najaf Iraq Al Rafidain University College Computer Technology Engineering Department Bagdad Iraq The Islamic University Najaf Iraq National University of Science and Technology Dhi Qar Iraq Medical Technical College Al-Farahidi University Baghdad Iraq

ISBN: (纸本)9798350303339

The smart grid (SG) significantly enhances the conventional power grids with information and communication technologies, control decision-making systems, simulation analysis, advanced measurement and sensing. In contrast to conventional power grids, the SG has further benefits in stability, situational awareness, self-healing, information interaction, and renewable energy consumption. But the precise prediction of long-term electric energy consumption remains a challenge. Recently, machine learning (ML), particularly deep learning, has rapidly advanced and has demonstrated outstanding performance in various tasks of the SG fields. The representation capability of ML approaches is considerably enhanced. The SG is a curial framework area, hence ML algorithms including it should be interpretable for improving reliability of the system and increasing user trust. This study develops a new Planet Optimization with Machine Learning Enabled Power Usage Forecasting modeling (POML-PUFM) in SG environment. The presented POML-PUFM technique forecast the utilization of power in the SGs for smart city applications. In the presented POML-PUFM technique, data pre-processing takes place to transform them into compatible format. For forecasting purposes, the POML-PUFM technique employs twin-support vector machine (TWSVM) model. In addition, the study used PO model to adjust the parameter related to the TWSVM method. The prediction performance of the presented POML-PUFM algorithm is examined and the outcomes are examined under several measures. The study verified the improvements of the POML-PUFM technique over other ML models. © 2023 IEEE.

关键词： Forecasting

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2022 international conference on Electromagnetics in Advanced Applications, ICEAA 2022

2022 International Conference on Electromagnetics in Advance...

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23rd international conference on Electromagnetics in Advanced Applications, ICEAA 2022

ISBN: (纸本)9781665481113

The proceedings contain 145 papers. The topics discussed include: efficient broadband modeling of microwave devices with machine learning and analytical extension of eigenvalues;influence of antenna systems with metamaterial screens composition and geometric parameters on mutual coupling between antennas;wave-particle interactions in earth outer radiation zone;phaseless bi-spherical near-field measurement;spherical near field to far field transformation algorithm for offset-mounted antennas on metallic ground;a joint magnetoelectric sensor and human head model for biomagnetic simulation;a novel time-domain asymptotic solution for a backward transient scattered electric field by a coated metal cylinder;machine-learning for optimization of electrodes and waveforms for electroporation;the tunable single-/narrow-band terahertz metamaterial absorber through photoconductivity;and radiofrequency wave absorption in a graded-index GNP-treated cancer cell substrate inserted in a waveguide.

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Lightweight YOLOv5-Based Algorithm to Detect Room Nameplates for Autonomous Smart Wheelchair

Lightweight YOLOv5-Based Algorithm to Detect Room Nameplates...

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international joint conference on computer Science and Software Engineering (JCSSE)

作者： Ainandafiq Muhammad Alqadri Fitri Utaminingrum Departement of Informatics Engineering Faculty of Computer Science Brawijaya University Malang Indonesia

ISBN: (数字)9798350381764

ISBN: (纸本)9798350381771

About 10% individuals with visual impairment also use wheelchair, which makes them difficult to ambulate into a room that can only be distinguished by text independently. One thing that could be a solution is to implement a room nameplate recognition system on autonomous smart wheelchairs so that it can ambulate the user to the dedicated room autonomously. We proposed a lightweight YOLOv5-based method to detect room nameplates that is more suitable for embedded devices such as smart wheelchair. We improved YOLOv5 with ghost module and coordinate attention to reduce model complexity while still maintain the detection accuracy. Using room nameplate images data that has been collected by our self, the proposed method has 29 % less parameter with about the same accuracy as the original YOLOv5. With a low complexity of object detection model, our study may be utilized for room nameplate recognition system on smart wheelchair.

关键词： YOLO computer science Accuracy Embedded systems Attention mechanisms Wheelchairs Computational modeling

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Multi-physical Field Collaborative Simulation Optimization Technology and Reliability Analysis of Power Amplifiers 1st

Multi-physical Field Collaborative Simulation Optimization T...

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1st international Artificial Intelligence conference, IAIC 2023

作者： Li, Zhenbing Huang, Junjie Jia, Shilin Zhang, Jinrong Fu, Jialong Fang, Xiaochuan Li, Gang Wen, Guangjun School of Information and Communication Engineering University of Electronic Science and Technology of China Sichuan Chengdu China Antennas and Electromagnetics Research Group School of Electronic Engineering and Computer Science Queen Mary University of London LondonE1 4NS United Kingdom School of Information and Software Engineering University of Electronic Science and Technology of China Sichuan Chengdu China

ISBN: (纸本)9789819712762

As the core RF front-end device of wireless communication systems, the performance of millimeter wave power amplifier chips determines the communication distance/quality of the system. In order to improve the communication distance of the system, power amplifiers are often required to operate in a saturated state, which can cause severe warping and deformation of PA chips due to high temperature accumulation. This seriously affects the performance of RF front-end, and has become a key issue that needs to be urgently solved in the industry. This paper takes MATLAB as the core to build a Circuit-Electromagnetic-Thermal-Force Multiple Physical Field collaborative simulation and optimization platform. In HFSS, using vbs script to achieve fully parameterized modeling and full band circuit electromagnetic joint simulation. In ANSYS Workbench, thermodynamic simulation is implemented using SCDM and Mechanical in IronPython environment. In this paper, a PA chip based on GaN process is simulated by using the Multi-Physical Field collaborative simulation and optimization platform. Aiming at its high temperature agglomeration problem, the number and layout of transistor count are optimized, and the maximum temperature is successfully reduced by about 70 ℃. In order to compensate for the circuit performance degradation caused by layout, this paper built an automatic optimization platform to optimize it, and the gain increased by about 8.4 dB compared with that before optimization, which proved the availability, reliability and progressiveness of the multi-physical field collaborative simulation optimization platform. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Power amplifiers

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DfHM: A Hierarchical Approach for Matching Pairs of Images Using Graph Attention Neural Networks

DfHM: A Hierarchical Approach for Matching Pairs of Images U...

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international joint conference on Neural Networks (IJCNN)

作者： Mohamed Amine Ouali Mohamed Bouguessa Riadh Ksantini Department of Computer Science University of Quebec at Montreal Montreal Canada Department of Computer Science University of Bahrain Zallaq Bahrain

ISBN: (数字)9798350359312

ISBN: (纸本)9798350359329

We introduce a cutting-edge approach for matching a pair of images by using a multi-dimension graph which is constructed from the images and processed using graph attention neural networks. Our method is detector-free, and in contrast to the state-of-the-art, it uses the hierarchical mechanism, a novel approach to establish image correspondence. Our framework consists of three key components: 1) a convolution neural network to compute the embedding of the hierarchical grid cell of the image, 2) a graph attention neural network that establishes correspondences between regions at each hierarchical level, and 3) a neural network model used to establish pixel-level correspondence. All three components are trained jointly to ensure optimal performance. By using the hierarchical mechanism, our model is shown to be competitive with the state-of-the-art methods and even provides performance overhead on various datasets using similar relevant metrics.

关键词： measurement Convolution Computational modeling Neural networks Encoding

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joint Depth and Surface Normals Prediction in Autonomous Driving

Joint Depth and Surface Normals Prediction in Autonomous Dri...

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IEEE international conference on Intelligent computer Communication and Processing (ICCP)

作者： Bianca Maria Vulsan Miruna Chindea Radu Predescu Mihai Negru Engineering Systems Vision Robert Bosch SRL Cluj-Napoca Romania Department of Computer Science Technical University of Cluj-Napoca Cluj-Napoca Romania

ISBN: (数字)9798331539979

ISBN: (纸本)9798331539986

In this paper, we introduce a multitask learning architecture for simultaneous depth estimation and surface normals prediction, built upon a shared encoder framework. Our approach integrates well-established depth estimation models to reduce computational complexity while enhancing feature representation for both tasks. Through extensive experiments on benchmark datasets, we provide both quantitative and qualitative analyses of the results. Our evaluations demonstrate significant improvements in depth estimation accuracy and efficiency compared to other state-of-the-art methods, along with competitive results in surface normals prediction. Additionally, the proposed architecture offers a lightweight design for multitask learning, presenting a robust and versatile framework for future research and practical applications. These findings emphasize the potential of multitask learning to enhance the efficiency and performance of related computer vision tasks.

关键词： computer vision Accuracy Navigation Computational modeling Focusing computer architecture Real-time systems Computational complexity Autonomous vehicles Surface treatment

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A Channel Gain measurement Method for Magnetic Resonance Human Body Communication

A Channel Gain Measurement Method for Magnetic Resonance Hum...

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2023 Cross Strait Radio Science and Wireless Technology conference, CSRSWTC 2023

作者： Chen, Bingheng Wei, Ziliang Huang, Lixuan Pun, Sio Hang Vai, Mang I. Gao, Yueming College of Physics and Information Engineering Fuzhou University China Fuzhou University The International Joint Laboratory on Health Intelligent Monitoring Systems China University of Macau State Key Laboratory of Analog and Mixed-Signal VLSI China University of Macau Faculty of Science and Technology China

ISBN: (纸本)9798350358971

Magnetic Resonance Coupled Human Body Communication (MR-HBC) is a promising human communication method with high efficiency and stability. Designing devices that utilize MR-HBC for communication requires accurate channel transmission characteristics for effective communication. However, MR-HBC has difficulty obtaining reliable channel gains. Due to the existence of an additional return path caused by parasitic capacitance during channel gain measurements, there are significant differences in the results of different measurement methods, and the measured channel gain does not necessarily correspond to the actual channel gain. In this regard, this paper proposes a method that can accurately measure the actual channel gain of MR-HBC. By modeling the electrical connection during the measurement of the measuring instrument, this paper shows that the additional return path between the transmitter and receiver in the experimental measurement is the reason for the discrepancy between the channel gain measurement results and the actual ones. Proposed that a balun device should be added to suppress the additional return path during the MR-HBC channel gain measurement in order to measure the realistic channel gain, and this is verified by experiments. The results show that before adding the balun, the MR-HBC channel gain measurements of different measurement methods show significant differences (maximum difference of 20.4 dB). When the additional return path is suppressed by adding the balun device, the measurement results of different measurement methods are consistent and close to the realistic measurement results measured using a small device (maximum difference of 2.5 dB). This study addresses the accuracy of measurement results during MR-HBC channel gain measurements. © 2023 IEEE.

关键词： additional return path channel gain MR-HBC

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