2022 2nd Asian Conference on Innovation in Technology (ASIANCON)最新文献_第2页

Performance Study of Photovoltaic Modules Considering Natural Dust Impact on High Altitude 考虑高原自然粉尘影响的光伏组件性能研究

2022 2nd Asian Conference on Innovation in Technology (ASIANCON) Pub Date : 2022-08-26 DOI: 10.1109/ASIANCON55314.2022.9909087

Habibur Rahman, Md Johair Haque, Khondoker Farhana Enam, Zahidul Haque Showrov, Md. Mosaddequr Rahman, Mohaimenul Islam

{"title":"Performance Study of Photovoltaic Modules Considering Natural Dust Impact on High Altitude","authors":"Habibur Rahman, Md Johair Haque, Khondoker Farhana Enam, Zahidul Haque Showrov, Md. Mosaddequr Rahman, Mohaimenul Islam","doi":"10.1109/ASIANCON55314.2022.9909087","DOIUrl":"https://doi.org/10.1109/ASIANCON55314.2022.9909087","url":null,"abstract":"In this present era, the solar module has become popular energy conducting element worldwide. Dhaka is also moving fast in this respect, witnessing by the presence of PV modules on practically almost all building’s rooftop. Nevertheless, because Dhaka is full of pollution and dust, it is easy to notice how PV modules grow dust quickly. Numerous weather parameters such as Dust, Temperature, Rain, shading by Clouds, and Solar Irradiance significantly affect the output energy performance of the PV module. This research paper figures out the impact of dust, temperature, and Solar Irradiance on the efficiency of a photovoltaic method at an altitude of more than 80 m in the middle of Dhaka city in Bangladesh. The study compares the performance of solar irradiance and efficiency of two PV modules where one was kept dusty, and another one was cleaned regularly and tried to determine the effect of dust on the PV modules. The analysis demonstrates the performance of the clean module 6.711% more compared to the dusty module as accumulated dust increases the surface temperature of the PV module and blocks some portion of solar irradiance. Furthermore, the performance of the modules is affected due to clouds and rain.","PeriodicalId":429704,"journal":{"name":"2022 2nd Asian Conference on Innovation in Technology (ASIANCON)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122615402","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Comparative Analysis of Coverage Hole Identification & Healing Techniques in Wireless Sensor Networks 无线传感器网络中覆盖孔识别与修复技术的比较分析

2022 2nd Asian Conference on Innovation in Technology (ASIANCON) Pub Date : 2022-08-26 DOI: 10.1109/ASIANCON55314.2022.9909357

Priyanka Sharma, Rishi Pal Singh

引用次数: 1

ECG Arrhythmia Classification Using Ensemble of Features 基于特征集合的心电心律失常分类

2022 2nd Asian Conference on Innovation in Technology (ASIANCON) Pub Date : 2022-08-26 DOI: 10.1109/ASIANCON55314.2022.9909338

Anupuram Pradeepkumar, A. Kaul

引用次数: 0

A Multi Factor Algorithmic Approach to Prioritize Grievances 基于多因素算法的申诉优先排序方法

2022 2nd Asian Conference on Innovation in Technology (ASIANCON) Pub Date : 2022-08-26 DOI: 10.1109/ASIANCON55314.2022.9909069

S. Mane, Rohit Chaudhari, V. Jadhav, Sarvesh Bodakhe

引用次数: 0

AutoKYC: Automation of Identity establishment and authentication in KYC process using Text extraction and face recognition AutoKYC:使用文本提取和人脸识别实现KYC过程中身份建立和认证的自动化

2022 2nd Asian Conference on Innovation in Technology (ASIANCON) Pub Date : 2022-08-26 DOI: 10.1109/ASIANCON55314.2022.9909442

Shivam Chaubey, S. Bhalerao, Nikhita Mangaonkar

引用次数: 4

Fault Detection and Classification of Looped Microgrid based on EWT-TKEO 基于EWT-TKEO的环形微电网故障检测与分类

2022 2nd Asian Conference on Innovation in Technology (ASIANCON) Pub Date : 2022-08-26 DOI: 10.1109/ASIANCON55314.2022.9908681

A. Chandra, G. Singh, V. Pant

{"title":"Fault Detection and Classification of Looped Microgrid based on EWT-TKEO","authors":"A. Chandra, G. Singh, V. Pant","doi":"10.1109/ASIANCON55314.2022.9908681","DOIUrl":"https://doi.org/10.1109/ASIANCON55314.2022.9908681","url":null,"abstract":"To procure thriving benefits of microgrid system, establishment of an appropriate protection system is mandated for the modern power systems. As a consequence of distributed generation (DG) penetration, the fault current becomes dynamic in nature, leading to make the conventional protection methods vulnerable. In order to resolve this, a simple and fast protection technique based on Empirical Wavelet Transform (EWT) in conjugation with Teager Kaiser Energy Operator (TKEO) has been proposed in this paper. For analysing the proposed method, a 14 bus generic looped microgrid structure containing both rotating type and inverter interfaced DG units is considered as a test system. This scheme estimates the multiresolution coefficient of symmetrical components of fault current signal using EWT, and then the adaptive threshold setting for detection and classification of fault is obtained by TKEO method for both grid-connected and autonomous mode of operation. This scheme is adaptive in nature as it can produce the threshold from the estimated Teager Kaiser Energy contained in the given signal. The test system is designed and simulated in PSCAD-EMTDC software, where the signal analysis part is performed in MATLAB.","PeriodicalId":429704,"journal":{"name":"2022 2nd Asian Conference on Innovation in Technology (ASIANCON)","volume":"129 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114717004","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Obstructive Sleep-Apnea Detection using Signal Preprocessing and 1-D Channel Attention Network 基于信号预处理和一维通道注意网络的阻塞性睡眠呼吸暂停检测

2022 2nd Asian Conference on Innovation in Technology (ASIANCON) Pub Date : 2022-08-26 DOI: 10.1109/ASIANCON55314.2022.9909300

A. Misra, Geeta Rani, V. Dhaka

{"title":"Obstructive Sleep-Apnea Detection using Signal Preprocessing and 1-D Channel Attention Network","authors":"A. Misra, Geeta Rani, V. Dhaka","doi":"10.1109/ASIANCON55314.2022.9909300","DOIUrl":"https://doi.org/10.1109/ASIANCON55314.2022.9909300","url":null,"abstract":"The alarming increase in the number of people affected by Obstructive sleep apnea is a point of concern for the medical experts as well as the whole populace. The discontinuous breathing due to upper airway blocking may lead to various cardiovascular and neurological complications such as hypertension and stroke. Polysomnography and manual scanning of ECG signals are time-consuming and expensive techniques. Thus, a need arises for exploring the alternatives to these techniques. The existing literature highlights the efficacy of machine learning and deep learning techniques in the detection of sleep apnea using ECG signals. The comparison of 2-Dimensional and 1-Dimensional convolution neural network-based models stipulate that 2-Dimensional models are better in efficacy, whereas of 1-Dimensional models are more adaptive and compact. Therefore, in this study, the authors looked for a trade-off and designed a novel 1-Dimensional architecture ’1-D Channel Attention Convolution Neural Network’ for the detection of sleep apnea. This compact architecture achieves better accuracy than other 1-Dimensional models with a limited number of parameters. First, it uses the Savitzky-Golay filter for noise suppression, thereafter it uses the smoothened signals for classification. The model utilizes channel attention layers to refine the intermediate feature descriptors before passing them deeper into the network. Thus, simultaneously reducing the need of implementing a deep neural network. The 1-D Channel Attention Convolution Neural Network reports the highest average accuracy of 93.01%, specificity of 93.10%, and sensitivity of 92.93% for sleep apnea detection. The results obtained prove that the proposed model outperforms other state-of-the-art 1-D convolution neural network architectures.","PeriodicalId":429704,"journal":{"name":"2022 2nd Asian Conference on Innovation in Technology (ASIANCON)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114809463","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

3DMRRC: 3D Mesh Reconstruction using Ray Casting for stationary subjects 3DMRRC:使用光线投射对静止物体进行三维网格重建

2022 2nd Asian Conference on Innovation in Technology (ASIANCON) Pub Date : 2022-08-26 DOI: 10.1109/ASIANCON55314.2022.9909218

Swathy Nair, Om Shah, K. Devadkar

引用次数: 0

Implementation Of An Efficient All Digital Phase Locked Loop 一种高效全数字锁相环的实现

2022 2nd Asian Conference on Innovation in Technology (ASIANCON) Pub Date : 2022-08-26 DOI: 10.1109/ASIANCON55314.2022.9909292

Haritha G. Krishnan, R. P.

引用次数: 0

Dynamic Modeling and Current Control of a Solar Powered Battery Storage Systems 太阳能电池储能系统的动态建模与电流控制

2022 2nd Asian Conference on Innovation in Technology (ASIANCON) Pub Date : 2022-08-26 DOI: 10.1109/ASIANCON55314.2022.9909274

Jeslin Joy, Alpha M M, Anupama V M, Muhammed Sabeel P, Vinita Chellappan

引用次数: 0