2022 IEEE Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI)最新文献_第6页

Crop Recommendation using Machine Learning and Plant Disease Identification using CNN and Transfer-Learning Approach 使用机器学习的作物推荐和使用CNN和迁移学习方法的植物病害识别

2022 IEEE Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI) Pub Date : 2022-12-21 DOI: 10.1109/IATMSI56455.2022.10119276

Shivesh Tiwari, Somesh Kumar, S. Tyagi, Minakshi Poonia

{"title":"Crop Recommendation using Machine Learning and Plant Disease Identification using CNN and Transfer-Learning Approach","authors":"Shivesh Tiwari, Somesh Kumar, S. Tyagi, Minakshi Poonia","doi":"10.1109/IATMSI56455.2022.10119276","DOIUrl":"https://doi.org/10.1109/IATMSI56455.2022.10119276","url":null,"abstract":"Since there have been climate changes that have resulted in an increasing amount of unexpected rainfalls, par below temperatures, and heatwaves in the region, resulting in a significant loss of ecosystem. Machine learning has helped develop various utility tools to tackle world problems. This problem of agriculture can be solved by using various ML algorithms. This paper aims at two things - a)A crop recommendation system and b) a Plant disease identification system embedded into a single website. The datasets were publicly available over the internet. Once the features for task one are extracted, the dataset is trained on five different algorithms - logistic regression, decision tree, support vector machine(SVM), multi-layer perceptron and random forest. For the second task, three CNN architectures, VGG16, ResNet50 and EfficientNetV2, are trained, and a comparative study is done between them. For task one, random forest achieved an accuracy of 99.31%, and for the second task, EfficientNetV2 achieved an accuracy of 96.06%","PeriodicalId":221211,"journal":{"name":"2022 IEEE Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131519006","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

CRLH-TL Based Dual-Band Miniaturized Antenna for Microwave Communication 基于CRLH-TL的微波通信双频小型化天线

2022 IEEE Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI) Pub Date : 2022-12-21 DOI: 10.1109/IATMSI56455.2022.10119313

N. Mishra, A. Chandra, D. Choudhary, Rajkishor Kumar

{"title":"CRLH-TL Based Dual-Band Miniaturized Antenna for Microwave Communication","authors":"N. Mishra, A. Chandra, D. Choudhary, Rajkishor Kumar","doi":"10.1109/IATMSI56455.2022.10119313","DOIUrl":"https://doi.org/10.1109/IATMSI56455.2022.10119313","url":null,"abstract":"In the past few years, miniaturized antenna design has attracted the attention of researchers because of the huge demand for compact portable microwave devices. In this article square stub, meandered lines, a reverse L-shaped resonator and a ring resonator have been arranged to form the CRLH-TL (Composite Right/Left Transmission Line) which results in a miniaturized dual-band antenna configuration. The designed antenna configuration has an overall electrical outline area of $0.31lambda_{0}times 0.09lambda_{0}$, where $lambda_{0}$ is the wavelength in free space around the ZOR (zeroth order resonance) frequency of 2.72GHz. The dual-band characteristics of the designed antenna arrangement offer 7.35% and 11.07% −10dB fractional bandwidth around the resonance frequencies of 2.72GHz and 5.51GHz respectively. Additionally, in the direction of broadside radiation this antenna configuration provides an average gain of 1.51dB and 1.94dB throughout the −10dB working bands. The proposed dual-band miniaturized antenna have average radiation efficiency of 91.78% and 95.45% throughout the −10dB operational bandwidths. The developed antenna structure can be utilized in distinct microwave communication applications, such as WLAN (5.15-5.35,5.47-5.725 GHz), and Wi-MAX (5.2-5.8 GHz).","PeriodicalId":221211,"journal":{"name":"2022 IEEE Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132812627","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

Current-best Particle Swarm Optimization 当前最佳粒子群算法

2022 IEEE Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI) Pub Date : 2022-12-21 DOI: 10.1109/IATMSI56455.2022.10119383

Ashmita Roy Medha, Saroj K. Biswas, Muskan Gupta, Arpita Nath Boruah, Rahul Kumar, Vivek Verma, B. Purkayastha

引用次数: 0

Sugarcane Leaf Disease Classification using Transfer Learning 基于迁移学习的甘蔗叶片病害分类

2022 IEEE Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI) Pub Date : 2022-12-21 DOI: 10.1109/IATMSI56455.2022.10119309

S. Lambor, Vithika Pungliya, Roshita Bhonsle, Atharva Purohit, Ankur Raut, Aayushi Patel

引用次数: 0

Design and Comparative Analysis of PMSM, BLDC, SynRM, and PMAssi-SynRM Motors for Two-Wheeler Electric Vehicle Application 两轮电动汽车用PMSM、BLDC、SynRM、pmsi -SynRM电机的设计与比较分析

2022 IEEE Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI) Pub Date : 2022-12-21 DOI: 10.1109/IATMSI56455.2022.10119363

Kalyani Arjun Gore, R. Ugale

引用次数: 0

Hardware and Software Development of a Small Scale Driverless Vehicle 小型无人驾驶汽车的硬件和软件开发

2022 IEEE Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI) Pub Date : 2022-12-21 DOI: 10.1109/IATMSI56455.2022.10119382

Sahil Ramane, Paras Shah, Nisarg Doshi, Aryan Madankar, Bhairav Narkhede

引用次数: 0

Efficient Modulation Format Identification Using Transfer Learning 利用迁移学习有效识别调制格式

2022 IEEE Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI) Pub Date : 2022-12-21 DOI: 10.1109/IATMSI56455.2022.10119245

D. Jha, Jitendra K. Mishra

引用次数: 0

Data-Driven Approach for Dehazing of High-Resolution Multispectral Remote Sensing Images 高分辨率多光谱遥感图像去雾的数据驱动方法

2022 IEEE Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI) Pub Date : 2022-12-21 DOI: 10.1109/IATMSI56455.2022.10119260

Nakul Shahdadpuri, Pinku Ranjan, Jayant Kumar Rai

引用次数: 1

Design and Analysis of Novel Complex Order Optimal Power System Stabilizers 新型复杂有序最优电力系统稳定器的设计与分析

2022 IEEE Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI) Pub Date : 2022-12-21 DOI: 10.1109/IATMSI56455.2022.10119289

Ashvini A. Latthe, Arti V. Tare, V. Pande

引用次数: 0

Football Match Prediction using Exploratory Data Analysis & Multi-Output Regression 利用探索性数据分析和多输出回归进行足球比赛预测

2022 IEEE Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI) Pub Date : 2022-12-21 DOI: 10.1109/IATMSI56455.2022.10119340

Ayush Majumdar, Ravneet Kaur, Tarak Kulkarni, Mufaddal Jiruwala, Sneh Shah, N. Pise

引用次数: 0