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3rd international conference on electrical, computer and Communication engineering, ECCE 2023

作者： Mahtab Dipto, Md. Seium Islam, Md Jahirul Kaysir, Md Rejvi Atai, Javid Khulna9203 Bangladesh Khulna9203 Bangladesh Waterloo Institute for Nanotechnology University of Waterloo Department of Electrical and Computer Engineering WaterlooON Canada School of Electrical and Information Engineering The University of Sydney NSW2006 Australia

ISBN: (纸本)9798350345360

The development of perovskite solar cell (PSC) is one of the major advances in photovoltaic technology in recent years due to its lower cost, simple fabrication process, lightweight, sustainability, and being environmentally friendly. However, the power conversion efficiency (PCE) of the conventional PSC is still lower for commercialization. The efficiency of PSC has increased from 5% to 25% within the past few years, where introducing interlayer shows a significant improvement in PCE. In this paper, we numerically investigate the effects of different combinations of interlayers on the performance of PSC using gpvdm simulation software. Three different PCEs of 28.08%, 17.89% and 25.62% are found for three different interlayer combinations i.e., (i) Model A (TIO2/PMMA), (ii) Model B (V2O5/PEDOTPSS) and (iii) Model C (P3HT/ spiroMeOTAD). Both optical and electrical characteristics of different interlayers-based PSCs are investigated by using the properties of different interlayer materials in the simulation. Additionally, the photon distribution, their absorption, and consequent charge carrier generation are investigated while modifying the layer thickness of each unit. This study could be helpful for optimizing the electron and hole transport materials-based interlayers of the PSC. © 2023 IEEE.

关键词： Perovskite solar cells

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An integrated control method of multi-source Islanded microgrids

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ENERGY REPORTS 2023年 9卷 630-636页

作者： Wang, Gong Duan, Guichao Duan, Jie Cao, Shengxian Song, Yuanhua Kang, Jiajin Northeast Elect Power Univ 169 Changchun Rd Jilin 132012 Peoples R China

A new control method for the hybrid multi-source islanded microgrid system is proposed in this study, which aims to maintain a stable voltage of DC bus under the premise of meeting the power demand of load, and to realize the undifferentiated regulation of frequency and voltage, ensuring system reliability. Contrary to the traditional centralized strategies, the established control method is based on the distributed structure, requiring only sparse communication network information exchange among neighboring distributed generators (DGs). Additionally, it is demonstrated that the proposed method improves synchronization performance and exhibits accurate robustness to model parameter uncertainty. The results of the simulation from an island microgrid test system are presented as the demonstration of the performance of the proposed control strategy.(c) 2023 Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://***/licenses/by-nc-nd/4.0/).

关键词： Microgrid DC bus voltage control Distributed control Finite-time consensus

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Pure Azimuthal Passive Positioning in UAV Formation Flight 3

Pure Azimuthal Passive Positioning in UAV Formation Flight

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3rd IEEE international conference on Power, Electronics and computer Applications, ICPECA 2023

作者： He, Yisong Duan, Yunchen Huang, Wenlong Naval University of Engineering College of Electrical Engineering Hubei Wuhan China

ISBN: (纸本)9781665472784

Aiming at the UAV formation flight problem under purely azimuthal passive conditions, this paper establishes a geometric relationship model, a UAV positioning method for circular formations in two different cases, and a formation position adjustment method under a slight deviation of the UAV position. In order to minimize the number of adjustments, an optimization model with the objective of minimizing the number of adjustments is established, and the validity of the model is verified. The results show that the proposed method can achieve better UAV positioning and formation position adjustment, and this method can provide reference for other UAV swarms in similar situations. © 2023 IEEE.

关键词： Drones

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Detect Bangladeshi Mango Leaf Diseases Using Lightweight Convolutional Neural Network 3

Detect Bangladeshi Mango Leaf Diseases Using Lightweight Con...

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3rd international conference on electrical, computer and Communication engineering, ECCE 2023

作者： Mahbub, Nosin Ibna Naznin, Feroza Hasan, Md Imran Shifat, Syed Mahfuzur Rahman Hossain, Md. Alamgir Islam, Md Zahidul Islamic University Dept. of Information and Communication Technology Kushtia7003 Bangladesh Green University Dept. of Computer Science and Engineering Dhaka Bangladesh Islamic University Dept. of Computer Science and Engineering Kushtia7003 Bangladesh University of Global Village Dept. of Computer Science and Engineering Barishal Bangladesh

ISBN: (纸本)9798350345360

This research concentrates on the diagnosis of common mango leaf diseases in Bangladesh using image processing via deep learning. Mango production could be raised by at least 28% globally if the crop could be safeguarded from a variety of diseases. However, without the assistance of an expert, it is challenging for the farmer to detect the disease at the appropriate time. Few studies have been conducted to identify the mango leaf disease present in Bangladesh. So far, no study has been done to identify the seven distinct mango leaf diseases reported in Bangladesh. We proposed a lightweight convolutional neural network (LCNN) in this paper to accurately classify seven distinct mango leaf diseases as well as normal mango leaf. To assess the proposed LCNN model, performance is compared to several pre-trained models such as VGG16, Resnet50, Resnet101, and Xception, and it is found that LCNN achieves the highest testing accuracy (98%). © 2023 IEEE.

关键词： Convolutional neural networks

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DeepCatch: A New Testing Framework for Convolutional Neural Networks 3

DeepCatch: A New Testing Framework for Convolutional Neural ...

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3rd international conference on computer Science, Electronic Information engineering and Intelligent Control technology, CEI 2023

作者： Bi, Qichen Chen, Shengbo School of Computer Engineering and Science Shanghai University Shanghai China

ISBN: (纸本)9798350372052

DNNs have achieved great success in many fields over the past decades, however, due to a number of problems that often occur with DNNs, there is a growing interest in systematic testing of DNNs. Researchers aim to identify additional corner cases for the model to enhance its robustness. Therefore, we designed DeepCatch, a white-box testing framework designed to perform better in finding corner cases. We designed comparative experiments in image categorization to demonstrate the advantages of DeepCatch, which can find more corner cases while these corner cases are distributed over more categories. © 2023 IEEE.

关键词： Convolutional neural networks

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electrical Fast Transients Monitoring Based on a Noncontact Voltage Measurement technology 3

Electrical Fast Transients Monitoring Based on a Noncontact ...

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3rd IEEE international conference on Electronic technology, Communication and Information, ICETCI 2023

作者： Ding, Rui Luo, Chengyang Fang, Wenxiao Anhui University of Technology School of Electrical and Information Engineering Ma'Anshan China Testing Research Institute China Electronic Product Reliability and Environmental Guangzhou China

ISBN: (纸本)9798350398410

In this paper, a noncontact monitoring method based on a noncontact voltage probe in electrical fast transients (EFT) test is developed. This method uses Fourier transform and inverse Fourier transform to reconstruct the injected interference pulse waveform. By comparing the measurement results and reconstructed waveform, the validity of the measurement method is confirmed. The method is applied for the actual EFT test, and the test results show that the reconstructed waveform has only a 2% difference from the actual measurement result. © 2023 IEEE.

关键词： Fourier transforms

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Protein Structure Prediction in Structural Genomics without Alignment Using Support Vector Machine with Fuzzy Logic 3

Protein Structure Prediction in Structural Genomics without ...

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3rd international conference on electrical, computer and Communication engineering, ECCE 2023

作者： Saha, Sharnali Shill, Pintu Chandra Khulna University of Engineering & Technology Department of Computer Science and Engineering Khulna9203 Bangladesh

ISBN: (纸本)9798350345360

Protein secondary structure prediction from amino acid sequences is a challenging and complex task as it has become a must in oder to identifying the similarities/dissimilarities between protein structure. The protein secondary structure is used for studying the biological functionality of species in order to develop new drugs. A sustainable number of research has been done for predicting protein structure but yet the performance is not satisfactory. For this reason, it is necessary and time demanding to develop a technique for predicting protein structure that gives the satisfactory performance for large datasets termed as big datasets. In this article, propose a method based on the support vector machine and fuzzy logic in order to predict protein secondary structure without alignment. In this case, generate the optimal hyper plane of support vector machine using the membership values. Moreover, in order to increase the generalization ability a hybrid kernel support vector machine is propose that gives the better results in terms of classification and learning ability. We have tested the proposed method performance on the several benchmark datasets. The simulation results shows that the proposed technique outperforms better than other existing conventional techniques. © 2023 IEEE.

关键词： Fuzzy logic

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Bengali-English Neural Machine Translation Using Deep Learning Techniques 3

Bengali-English Neural Machine Translation Using Deep Learni...

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3rd international conference on electrical, computer and Communication engineering, ECCE 2023

作者： Paul, Nipun Faruki, Ishmam Pranto, Mutakabbirul Islam Rouf Shawon, Md. Tanvir Mandal, Nibir Chandra Ahsanullah University of Science and Technology Department of Computer Science and Engineering Dhaka Bangladesh

ISBN: (纸本)9798350345360

Bengali is one of the most widely spoken languages and one of the hardest to translate due to its extensive vocabulary. Earlier, it was fairly difficult to translate from Bengali to English. Using neural machine translation (NMT), it is now possible to translate from Bengali to English quite flawlessly. In order to carry out the task of neural machine translation, four different Seq2Seq models - Long Short Term Memory (LSTM), Gated Recurrent Unit (GRU), Bidirectional LSTM (BiLSTM), and Bidirectional GRU (BiGRU) - are studied in this work. We combined four distinct datasets and used the resultant dataset in association with the four models. Our study shows that BiLSTM is the most effective model for the Bengali to English NMT task. Here, the resemblance between the generated output and the real one is assessed using two frequently used performance metrics termed BLEU and ROUGE. We have achieved scores of 47.4, 35.8, 32.0 and 22.8 for BLEU-1, 2, 3 and 4 respectively on BiLSTM. Last but not least, our outcomes are among the finest of other studies performed earlier. © 2023 IEEE.

关键词： Neural machine translation

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A Mini Review on MEMS Switches: Design, Fabrication, and Applications 3

A Mini Review on MEMS Switches: Design, Fabrication, and App...

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3rd international conference on Energy, Power and electrical engineering, EPEE 2023

作者： Patel, Pramod Kumar Gurmaita, P.K. Gurmaita, S.K. Nema, Rajesh Kumar Yadav, Rakesh Shrivastav, Harshit Chauhan, P.K. Ies College of Technology Department of Electronics and Communication Engineering 462044 India National Institute of Technology Department of Mechanical Engineering Nagaland 797103 India National Institute of Technology Department of Civil Engineering Nagaland 797103 India Ies College of Technology Department of Mechanical Engineering Bhopal462044 India Kcc Institute of Technology and Management: Greater Department of Mechanical Engineering Noida201306 India

ISBN: (纸本)9798350318180

Micro-Electro-Mechanical Systems (MEMS) switches have emerged as promising alternatives to conventional electronic switches due to their compact size, low power consumption, and high switching speeds. This paper presents a comprehensive review of MEMS switches, covering their design principles, fabrication techniques, and a wide range of applications. The review aims to provide an in-depth understanding of the advancements in MEMS switch technology, highlighting their potential to revolutionize various industries, from telecommunications to aerospace. © 2023 IEEE.

关键词： fabrication MEMS power consumption reliability

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Power Flow Calculation of Integrated Transmission and Distribution Networks 3

Power Flow Calculation of Integrated Transmission and Distri...

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2023 3rd international conference on electrical engineering and computer technology, iceect 2023

作者： Tao, Weilong Wang, Xunting Zhang, Chuanhai Xu, Bin Guo, Zhixin State Grid Hefei Power Supply Company Anhui Hefei230000 China Electric Power Research Institute of State Grid Anhui Electric Power Co. Ltd Anhui Hefei230000 China School of Electrical Engineering and Automation Anhui University Anhui Hefei230000 China

As smart grids develop by leaps and bounds, the distribution network (DN) shows a more flexible and ever-changing trend. The continuous integration of distributed power generation, electric vehicles, and other new energy generation has led to an increasingly close relationship among the transmission and distribution networks (TDNs). The traditional method of independently calculating power flow in TDNs is no longer applicable. This paper proposes a power flow calculation algorithm for integrated transmission and distribution networks (ITDNs) based on the master-slave-splitting (MSS) method in response to this problem. This method is based on the electrical connection relationship between TDNs and the characteristics of their respective network structures. It decomposes the global power flow calculation problem into transmission network (TN) power flow calculation, multiple DN power flow calculation, and boundary node information coordination sub-problems. And achieve power flow calculation of ITDNs by exchanging the voltage and equivalent power of boundary nodes. Finally, the global power system constructed by the IEEE30 node system and IEEE33 node system is used to confirm the validity and correctness of the proposed algorithm and model. © Published under licence by IOP Publishing Ltd.

关键词： Electric power transmission networks

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