2023 Second International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT)最新文献

Internet of Things based Innovative Irrigation System for the evaluation of Sand Quality with Security measures for Agriculture Land using Wireless Sensor Network 基于物联网的无线传感器网络农用地沙质安全评价创新灌溉系统

2023 Second International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT) Pub Date : 2023-04-05 DOI: 10.1109/ICEEICT56924.2023.10157473

P. Kalyanasundaram, S. Ramesh, Ravikumar Gurusamy, V. Rajmohan, S. Hamsanandhini

{"title":"Internet of Things based Innovative Irrigation System for the evaluation of Sand Quality with Security measures for Agriculture Land using Wireless Sensor Network","authors":"P. Kalyanasundaram, S. Ramesh, Ravikumar Gurusamy, V. Rajmohan, S. Hamsanandhini","doi":"10.1109/ICEEICT56924.2023.10157473","DOIUrl":"https://doi.org/10.1109/ICEEICT56924.2023.10157473","url":null,"abstract":"This research involves to develop an innovative irrigation system to evaluate sand quality by comparing different sands and securing agriculture land using Internet of Things and Wireless Sensor Network. In this innovative irrigation method, three soils, sandy soil with normal moisture content of 60 %, earth soil with normal moisture content 76 %, silt soil with normal moisture content 56 % are taken based on the previous study. In each group 10 number of are taken for the analysis. The G Power statistical tool is employed for the sample size estimation with a confidence interval of 80% probability. The error rate of is 0.05. From the observations from the soil moisture sensors, the mean value of moisture content in clay soil is 63 %, in sandy soil is 83 % and Silt soil is 55 %. On comparing the three soils, the silt soil maintains the high-water content, because it contains low soil moisture value. The water content is inversely proportional to the soil moisture. The significance value of soil moisture and humidity are 0.021 and 0.0005 respectively. From this research, it is concluded that Silt soil is superior to sandy and clay soil in terms of holding moisture content. The customary issues in drip water irrigation systems are overcome by inventive water system framework. Security to the farmland is provided with this proposed system using an ultrasonic sensor, to get rid of attacks from animals.","PeriodicalId":345324,"journal":{"name":"2023 Second International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114987722","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

Studies on the Characteristics of Partial Discharges in High-Voltage XLPE Cable Joints exposed to Lightning Impulse Voltages 雷电冲击电压作用下高压交联聚乙烯电缆接头局部放电特性研究

2023 Second International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT) Pub Date : 2023-04-05 DOI: 10.1109/ICEEICT56924.2023.10157592

N. Adhikari

引用次数: 0

Fuzzy Logic-Based Incipient Fault Detection in Power Transformers Using IEC Method 基于模糊逻辑的电力变压器早期故障检测方法

2023 Second International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT) Pub Date : 2023-04-05 DOI: 10.1109/ICEEICT56924.2023.10157300

Akshay Dhiman, O. P. Rahi, Nishant Sharma

引用次数: 0

Early Detection of Brain Tumour in MRI Images using Open by Reconstruction and Convolution Neural Networks 利用Open by重建和卷积神经网络在MRI图像中早期发现脑肿瘤

2023 Second International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT) Pub Date : 2023-04-05 DOI: 10.1109/ICEEICT56924.2023.10157830

D. Sathish, Sathish Kabekody, R. J

{"title":"Early Detection of Brain Tumour in MRI Images using Open by Reconstruction and Convolution Neural Networks","authors":"D. Sathish, Sathish Kabekody, R. J","doi":"10.1109/ICEEICT56924.2023.10157830","DOIUrl":"https://doi.org/10.1109/ICEEICT56924.2023.10157830","url":null,"abstract":"Classification and detection of the brain tumour at early stages have always been a concern to reduce the mortality rate. Though the brain tumour detection is possible in Magnetic Resonance Imaging (MRI), the detailed detection of the tumour type has been a concern. This article proposed a comparatively efficient method to detect the dangerous malignant tumour and hence begin the treatment at an early stage. At first, MRI images are filtered by cascading mean, median and Weiner filter. Due to the high density and texture, skull tends to appear as a detected region, which is often mistaken as part of a tumour. The stripping of the skull is done to isolate the Region of Interest (ROI) of the brain from the background. Once an abnormality in the image is confirmed for a tumour, its' classification into Low-Grade Glioma (LGG) and High-Grade Glioma (HGG) are done using Open by Reconstruction followed by thresholding segmentation method & Convolution Neural Networks (CNNs). An accuracy of 92.3% is obtained by first CNN in classifying abnormal brain MRI with normal brain MRI. An accuracy of 98.4% is obtained by second CNN in distinguishing HGG with LGG.","PeriodicalId":345324,"journal":{"name":"2023 Second International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125053951","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

Impact of temperature on the DC performance of Nanosheet TFET 温度对纳米片TFET直流性能的影响

2023 Second International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT) Pub Date : 2023-04-05 DOI: 10.1109/ICEEICT56924.2023.10157615

G. Jain, R. Sawhney, Ravinder Kumar

引用次数: 0

Wind Speed Prediction using Extra Tree Classifier 使用额外树分类器的风速预测

2023 Second International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT) Pub Date : 2023-04-05 DOI: 10.1109/ICEEICT56924.2023.10157692

R. Grace, M. I. Priyadharshini

{"title":"Wind Speed Prediction using Extra Tree Classifier","authors":"R. Grace, M. I. Priyadharshini","doi":"10.1109/ICEEICT56924.2023.10157692","DOIUrl":"https://doi.org/10.1109/ICEEICT56924.2023.10157692","url":null,"abstract":"A cluster of wind turbines in the same site that generates power. Using turbines perform effectively with severe winds and optimal wind speed. For a wind farm, the wind direction and speed can be projected that wind turbines would operate efficiently. So, the wind generators' output will be having increased effectiveness. Big data and machine learning are defined as a large collection of datasets that are advanced to process. Wind speed forecasting is one of the most critical responsibilities in a wind farm. Machine learning approaches are frequently used to forecast time series non-linear wind behavior. This research provides a wind dataset prediction model that relies on the Extra Tree classifier in this context. The proposed model has the benefit of being simple, quick, and well-suited to the short term. The accuracy of the project is then compared with bagging classifier and Ada boost Classifier algorithms in their regression mode, and then the project aims to illustrate how wind direction may affect power generation and why it is vital to anticipate it. A real-time series data collection contains past values of characteristics like speed of wind, temperature, and atmospheric pressure, they are used to forecast the speed of the wind. The suggested model Extra Tree classifier will be evaluated using Mean Absolute, Mean Square Error values, and its performance will be compared to that of bagging classifier and Ada boost Classifier algorithm models.","PeriodicalId":345324,"journal":{"name":"2023 Second International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122355708","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

Design of Minkowski Fractal Antenna for Multiband Utilizations 多波段闵可夫斯基分形天线设计

2023 Second International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT) Pub Date : 2023-04-05 DOI: 10.1109/ICEEICT56924.2023.10157281

Vinita Mathur, P. Tyagi, Rakesh Kardam, Ritu Vyas, Mangilal, Ashish Kulshrestha

引用次数: 0

Analysis and Optimization of MASnPbI3-based Single Junction Solar Cells for High Power Conversion Efficiency 基于masnpbi3的高功率转换效率单结太阳能电池的分析与优化

2023 Second International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT) Pub Date : 2023-04-05 DOI: 10.1109/ICEEICT56924.2023.10157594

Savita Rawat, Nikhil Shrivastav, Jaya Madan

{"title":"Analysis and Optimization of MASnPbI3-based Single Junction Solar Cells for High Power Conversion Efficiency","authors":"Savita Rawat, Nikhil Shrivastav, Jaya Madan","doi":"10.1109/ICEEICT56924.2023.10157594","DOIUrl":"https://doi.org/10.1109/ICEEICT56924.2023.10157594","url":null,"abstract":"The MASnPbI3-based perovskite solar cells were thoroughly analysed in the SCAPS study, which revealed their high power conversion efficiency and low production cost, making them a promising technology for photovoltaic applications. The study reports a remarkable achievement in the field, with a PCE of 26.17%, Jsc of 35.93 mA/cm2, Voc of 0.9 V, and FF of 87.13%. The study also found that the performance of the cells is significantly influenced by the thickness and defect of the MASnPbI3 layer. The highest PCE was achieved when the MASnPbI3 layer was 3 µm thick with a low defect density of 1×1018/cm3. This result emphasizes the importance of optimizing the thickness of the MASnPbI3 material to enhance the performance of perovskite-based solar cells. Optimizing the thickness of the MASnPbI3 layer is critical to improving the PCE of MASnPbI3 based solar cells, which is vital for their widespread commercialization and deployment. Also the bulk defect density (BDD) of the MASnPbI3 layer should be as low as possible for the best PV characteristics of the cell. The results of the SCAPS study serve as a basis for future research in advancing the development of high-performance perovskite solar cells and their integration into photovoltaic systems.","PeriodicalId":345324,"journal":{"name":"2023 Second International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT)","volume":"658 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122958631","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

Hiding Secret Data Using AES Encryption and DFS Graph Traversal in 3D Images 在3D图像中使用AES加密和DFS图遍历隐藏秘密数据

2023 Second International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT) Pub Date : 2023-04-05 DOI: 10.1109/ICEEICT56924.2023.10156957

Sakhi Bandyopadhyay, Sunita Sarkar, Somnath Mukhopadhyay

引用次数: 0

Gas Sensor device based on SnSe2 Monolayer: Ab-initio Modelling 基于SnSe2单层的气体传感器装置:Ab-initio建模

2023 Second International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT) Pub Date : 2023-04-05 DOI: 10.1109/ICEEICT56924.2023.10157857

R. Baghel, Rajendra Kumar Sahu

引用次数: 0