2022 IEEE Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI)最新文献_第2页

Solution of Placement and Sizing of Capacitor Problem in Distribution System using Hybrid Approach of Archimedes Optimization Algorithm 用阿基米德优化算法求解配电系统中电容器的布置和尺寸问题

2022 IEEE Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI) Pub Date : 2022-12-21 DOI: 10.1109/IATMSI56455.2022.10119290

Rajkumar Kaushik, Chirag Arora, A. Soni, Saloni Upadhyay, Mansi Saini, Vijay Khatik

{"title":"Solution of Placement and Sizing of Capacitor Problem in Distribution System using Hybrid Approach of Archimedes Optimization Algorithm","authors":"Rajkumar Kaushik, Chirag Arora, A. Soni, Saloni Upadhyay, Mansi Saini, Vijay Khatik","doi":"10.1109/IATMSI56455.2022.10119290","DOIUrl":"https://doi.org/10.1109/IATMSI56455.2022.10119290","url":null,"abstract":"Electric power distribution is the last stage in providing power from power plant to end-clients. Low-voltage profile and high power misfortunes are the significant issues in distribution networks because of load extension and inductive nature of load. Low voltages, which bring about unusual activity of the machines and influence their lifetime, are more antagonistic for customers situated at the far closes from the inventory side. A distributed systems is alluded as a connection point among massive power system and buyers. Different issues are loss of force during transmission, variable voltage profile, expanding cost of system and so on capacitors are utilized for execution upgrade of the system. Because all of these issues straightforwardly impacted by execution or energy proficiency of the system. There are different strategies which are utilized for ideal position of the capacitors in distributed power system. In this article the Archimedes optimization algorithm will be implemented for finding the optimal value of capacitor and then placement of optimized capacitor value at IEEE 15 bus test system to improve the performance of the system. The results of the optimization and system performance will be compared with the Polar Bear Optimization Techniques.","PeriodicalId":221211,"journal":{"name":"2022 IEEE Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI)","volume":"93 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":"124572666","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

Web Based Diabetes Prediction System Using Machine Learning 基于网络的机器学习糖尿病预测系统

2022 IEEE Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI) Pub Date : 2022-12-21 DOI: 10.1109/IATMSI56455.2022.10119385

Mayur Patil, Swatej Patil, Prashant Singh

{"title":"Web Based Diabetes Prediction System Using Machine Learning","authors":"Mayur Patil, Swatej Patil, Prashant Singh","doi":"10.1109/IATMSI56455.2022.10119385","DOIUrl":"https://doi.org/10.1109/IATMSI56455.2022.10119385","url":null,"abstract":"Diabetes is a critical condition that affects a large number of people. It can be caused by age, obesity, lack of exercise, genetic diabetes, lifestyle, poor diet, high blood pressure, and other factors. People with diabetes have an increased risk of developing heart disease, kidney disease, stroke, eye problems, nerve damage, and more. The current practice of the hospital is to gather the necessary information for the diagnosis of diabetes using various tests, and then to provide appropriate treatment according to the diagnosis. Big Data Analytics is important in the healthcare industry. Data stored in the healthcare industry is huge in size. By using large data statistics, one can scan large data sets to reveal hidden information and trends, enabling one to obtain data and predictably produce results accordingly. The classification and prediction accuracy of the current method is not very good. In this study, we present a predictive model of diabetes for advanced diabetes classification that includes a few external variables that cause diabetes in addition to normal components such as glucose, BMI, age, insulin, and so on. Compared to the old database, the new database improves the accuracy of categories. In addition, a diabetic pipeline model was developed for the purpose of improving the accuracy of the sections.","PeriodicalId":221211,"journal":{"name":"2022 IEEE Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI)","volume":"35 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":"123838893","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

Deep Sentient network with multifarious features and inter-mutual attention mechanism for target-specific sentiment classification 具有多种特征和相互注意机制的深度感知网络用于目标情感分类

2022 IEEE Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI) Pub Date : 2022-12-21 DOI: 10.1109/IATMSI56455.2022.10119248

Deepak Chowdary Edara, Venkataramaphanikumar S, Venkata Krishna Kishore Kolli

{"title":"Deep Sentient network with multifarious features and inter-mutual attention mechanism for target-specific sentiment classification","authors":"Deepak Chowdary Edara, Venkataramaphanikumar S, Venkata Krishna Kishore Kolli","doi":"10.1109/IATMSI56455.2022.10119248","DOIUrl":"https://doi.org/10.1109/IATMSI56455.2022.10119248","url":null,"abstract":"Target-based aspect level sentiment analysis (TBASA) seeks to discover the polarity of the text towards certain aspect terms in each text. Most of the recent studies utilize deep learning (DL) frameworks like Convolutional Neural Networks (CNN) and Recurrent Neural Networks (RNN) to predict the influences of multiple contextual aspects on sentiment polarity. Both CNN and RNN are successfully used earlier to create complicated semantic representations. However, existing approaches fail to capture the sequence information due to the high dimensionality. In this paper, a typical approach called a Deep Sentient network with a novel inter-mutual attention mechanism is proposed to tackle this issue. The proposed model adds the sequence information identified with RNN into CNN to consistently anticipate the polarity. It also learns the contextual and target terms sequentially to understand the mutual impact between the features. Furthermore, both Part-of-Speech (POS) and position information are also included in the input layer as background knowledge. Finally, a series of experiments are performed on various benchmark datasets to verify the efficacy of our proposed approach.","PeriodicalId":221211,"journal":{"name":"2022 IEEE Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI)","volume":"28 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":"114837038","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

Factors Determining the Choice of Online/Offline Channel: A Discriminant Analysis Approach 决定线上/线下渠道选择的因素:判别分析方法

2022 IEEE Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI) Pub Date : 2022-12-21 DOI: 10.1109/IATMSI56455.2022.10119421

S. Soni, B. Sharma, P. Jain

{"title":"Factors Determining the Choice of Online/Offline Channel: A Discriminant Analysis Approach","authors":"S. Soni, B. Sharma, P. Jain","doi":"10.1109/IATMSI56455.2022.10119421","DOIUrl":"https://doi.org/10.1109/IATMSI56455.2022.10119421","url":null,"abstract":"Technology forces consumers to change their purchase behaviour. As Consumers are now not only buying from offline but online as well. Sometimes consumers also search for the product online and purchase offline and vice versa. This study attempts to identify the factors by which consumers can be classified into online and offline buyers. The study was conducted on 151 respondents selected based on judgment and snowball sampling. Discriminant analysis is used to identify the factors based on which the consumer is classified as an online and offline buyer. The study identified that consumer purchase products online due to high need fulfillment, better offers, relative price, verities of products, better choice, product information and better price comparison. In contrast, consumers choose offline channels for quality, reliable information, quality of judgment, and better after-sales services. Apart from the theoretical implications, which revolve around expanding the discourse of consumer buying behavior, the paper will be extremely useful to marketing practitioners, particularly in segmentation, targeting, and positioning concerning luxury product marketing","PeriodicalId":221211,"journal":{"name":"2022 IEEE Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI)","volume":"23 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":"127604647","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

A Novel HISMO Solution to Coverage Hole Mitigation in 6G-IoT 一种新的HISMO解决方案，以缓解6G-IoT中的覆盖漏洞

2022 IEEE Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI) Pub Date : 2022-12-21 DOI: 10.1109/IATMSI56455.2022.10119303

Abhishek Gupta, Somesh Kumar, Prof. Manisha Pattanaik

引用次数: 0

Artificial Intelligence Applications in Soil & Crop Management 人工智能在土壤与作物管理中的应用

2022 IEEE Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI) Pub Date : 2022-12-21 DOI: 10.1109/IATMSI56455.2022.10119362

Pinku Ranjan, R. Garg, Jayant Kumar Rai

{"title":"Artificial Intelligence Applications in Soil & Crop Management","authors":"Pinku Ranjan, R. Garg, Jayant Kumar Rai","doi":"10.1109/IATMSI56455.2022.10119362","DOIUrl":"https://doi.org/10.1109/IATMSI56455.2022.10119362","url":null,"abstract":"Farming is the activity of preparing the soil for planting crops and raising livestock. A nation's economic development depends heavily on agriculture. Farming makes up nearly 60 percent of a nation's primary source of income. Farmers have so far used traditional farming methods. These methods took a lot of time and were not precise, which decreased productivity. By precisely identifying the steps that must be taken at the appropriate time of year, smart Farming helps to increase productivity. Precision farming includes a variety of techniques such as weather forecasting, soil analysis, crop recommendations, and calculating the necessary dosages of pesticides and fertilizers. Precise Farming gathers data, trains systems, and forecasts outcomes using cutting-edge technologies like the Internet of Things (IoT), Data Mining, Data Analytics, Machine Learning, and Deep Learning. Precise Farming boosts productivity by reducing manual labor with the aid of technology. Farmers have recently faced several difficulties, such as crop failure due to insufficient rainfall, soil fertility issues, and so forth. The proposed work assists in identifying the best practices for crop management and harvesting in light of the current environmental changes. It instructs someone on how to farm wisely. The purpose of this work is to assist a person in efficiently cultivating crops in order to maximize productivity. This would enable a person to plan their cultivation activities, resulting in an integrated farming solution.","PeriodicalId":221211,"journal":{"name":"2022 IEEE Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI)","volume":"106 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":"128172795","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

Underwater Image Restoration Using White Balance and Retinex Algorithm 基于白平衡和Retinex算法的水下图像恢复

2022 IEEE Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI) Pub Date : 2022-12-21 DOI: 10.1109/IATMSI56455.2022.10119294

A. Mishra, M. Choudhry, Manjeet Kumar

引用次数: 0

Method To Implement Load Network for High-Efficiency Doherty Amplifier for 5G Application 5G高效多尔蒂放大器负载网络的实现方法

2022 IEEE Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI) Pub Date : 2022-12-21 DOI: 10.1109/IATMSI56455.2022.10119315

Anil M. Birajdar, A. Deshmane

引用次数: 0

Impact of e-Learning in Education Sector: A Sentiment Analysis View 电子学习对教育部门的影响:情感分析观点

2022 IEEE Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI) Pub Date : 2022-12-21 DOI: 10.1109/IATMSI56455.2022.10119450

S. Sayeedunnisa, Maniza Hijab

{"title":"Impact of e-Learning in Education Sector: A Sentiment Analysis View","authors":"S. Sayeedunnisa, Maniza Hijab","doi":"10.1109/IATMSI56455.2022.10119450","DOIUrl":"https://doi.org/10.1109/IATMSI56455.2022.10119450","url":null,"abstract":"The COVID-19 condition had a substantial impact on the education sector, corporate sector and even the life of individual. With this pandemic situation e-learning/distance learning has become certain in the education sector. In spite of being beneficial to students and teachers, its efficacy in the education domain depends on several factors such as handiness of ICT devices in various socio economic groups of people and accessible internet facility. To analyze the effectiveness of this new system of e learning Sentiment Analysis plays a predominant role in identifying the user's perception. This paper focus on identifying opinions of social media users i.e. Twitter on the most prevailing issue of online learning. To analyze the subjectivity and polarity of the dynamic tweets extracted from Twitter the proposed study adopts TextBlob. As Machine Learning (ML) models and techniques manifests superior accuracy and efficacy in opinion classification, the proposed solution uses, TF-IDF (Term Frequency-Inverse Document Frequency) as feature extraction technique to build and evaluate the model. This manuscript analyses the performance of Multinomial Naive Bayes Classifier, DecisionTreeClassifier, SVC and MLP Classifier with respect to performance measure as Accuracy.","PeriodicalId":221211,"journal":{"name":"2022 IEEE Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI)","volume":"3 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":"129961941","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

Energy Efficient Intelligent Lighting System For Smart Cities 智慧城市的节能智能照明系统

2022 IEEE Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI) Pub Date : 2022-12-21 DOI: 10.1109/IATMSI56455.2022.10119268

Munesh Singh, Suyash Saxena, Alok R. Prusty

{"title":"Energy Efficient Intelligent Lighting System For Smart Cities","authors":"Munesh Singh, Suyash Saxena, Alok R. Prusty","doi":"10.1109/IATMSI56455.2022.10119268","DOIUrl":"https://doi.org/10.1109/IATMSI56455.2022.10119268","url":null,"abstract":"Smart cities are equipped with a modern techno-logical infrastructure that maximizes user comfort with minimal harm to nature. However, to drive the modernized infrastructure, we need energy-efficient policies. In a modernized smart city, streetlights consume lots of power to light the streets. There is a significant need for an intelligent lighting system that can automatically switch the lighting needs according to the types of objects. The proposed smart street light system is equipped with an LDR sensor system to monitor the ambient light intensity and operate the street light. LDR also locate the fault in the street light using the light intensity threshold. A master pole communicates with the slave poles using Zigbee. The master pole controls the light intensity at the slave pole whenever a vehicle is detected. A ferromagnetic sensor underneath the road monitors the metallic vehicles. We have deployed two ferromagnetic sensors one meter apart to expand the intelligence of vehicle classification, speed, and length. We have designed an experimental setup using commodity sensors to validate the intelligent lighting system. From the experimental results, we have obtained 95% accuracy for vehicle classification and 20% energy-saving with 50 watts LED lighting system.","PeriodicalId":221211,"journal":{"name":"2022 IEEE Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI)","volume":"51 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":"127568299","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