2022 Interdisciplinary Research in Technology and Management (IRTM)最新文献_第5页

Voice Recognition Enabled Farmer Assistance Module with LoRaWAN Connectivity 语音识别的农民援助模块与LoRaWAN连接

2022 Interdisciplinary Research in Technology and Management (IRTM) Pub Date : 2022-02-24 DOI: 10.1109/irtm54583.2022.9791512

H. R., Gayathri Subramanian, A. M., Bhagavath Kumar M, Jabilo Jose J, Hariharasudhan S, A. C.

{"title":"Voice Recognition Enabled Farmer Assistance Module with LoRaWAN Connectivity","authors":"H. R., Gayathri Subramanian, A. M., Bhagavath Kumar M, Jabilo Jose J, Hariharasudhan S, A. C.","doi":"10.1109/irtm54583.2022.9791512","DOIUrl":"https://doi.org/10.1109/irtm54583.2022.9791512","url":null,"abstract":"Agriculture, together with its linked sectors, is now one of the major sources of income in India, especially in the extensive rural places. But the agriculturists face enormous struggles including, the need to cope with adopting new technologies to increase their produce and profits. There is an inevitable need for an innovation intended to ensure the benefit of government schemes, high-technology agro-machinery, and agro-services for the farmers in the rural areas, where connectivity is not adequate for effective communication. The data generated by ‘IoT devices for agro-applications’ in turn provides an insight on the ways to help farmers in making conscious decisions to boost farm productivity, thus saving time and money. The system entails the installation of LoRaWan communication nodes (equipped with microphones for speech-to-text interpretation) across various farmlands, via which farmers may transmit service requests. The acquired sensitive information is transmitted through the nodes until the terminal node (set up at the Administration Office) thereby reaches the server. The in-need requirements of the farmer are fulfilled thereforth. The said system fulfills the objective of providing better connectivity and exposure to technologies.","PeriodicalId":426354,"journal":{"name":"2022 Interdisciplinary Research in Technology and Management (IRTM)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134487753","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

Development of a Credit Default Model using R and Neural Network 基于R语言和神经网络的信用违约模型开发

2022 Interdisciplinary Research in Technology and Management (IRTM) Pub Date : 2022-02-24 DOI: 10.1109/irtm54583.2022.9791821

Prashant Ubarhande, Arti Chandani

{"title":"Development of a Credit Default Model using R and Neural Network","authors":"Prashant Ubarhande, Arti Chandani","doi":"10.1109/irtm54583.2022.9791821","DOIUrl":"https://doi.org/10.1109/irtm54583.2022.9791821","url":null,"abstract":"Lenders decide for the approval or rejection of debt proposals by following a credit rating procedure. The complex nature of existing rating process leads to unpleasant decisions by lenders and borrowers. Therefore, lenders are struggling to find flexible and simple rating methods which are widely acceptable, comprehensive, objective and modifiable as per the lender's requirement [1]. Credit rating reflects the creditworthiness of borrowers [2]. A model based on financial data can provide more objectivity and flexibility to determine such creditworthiness. We have developed a model based on financial data of 100 companies from India. This model is developed in R and Neural network. This model can be used to predict whether the company will default in future or not. By training the model on 70% of the data we obtained an accuracy of 70.58%. Testing the model using remaining 30% of the data generates an accuracy of 68.75. The use of advanced techniques such as R and Neural networks coupled with financial data, makes this model comprehensive. Furthermore, this model saves time and sources while ensuring the accuracy of prediction. The proposed model could help to build, a reasonable system that can predict creditworthiness. This study provides a feasible future research scope.","PeriodicalId":426354,"journal":{"name":"2022 Interdisciplinary Research in Technology and Management (IRTM)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133314770","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

A Study on the Various Technologies used to Combat Covid-19 抗击新冠肺炎各种技术研究

2022 Interdisciplinary Research in Technology and Management (IRTM) Pub Date : 2022-02-24 DOI: 10.1109/irtm54583.2022.9791637

Karmuru Rohit Reddy, Joyatee Datta, Rohini Dasgupta, Sayantani Dasgupta

{"title":"A Study on the Various Technologies used to Combat Covid-19","authors":"Karmuru Rohit Reddy, Joyatee Datta, Rohini Dasgupta, Sayantani Dasgupta","doi":"10.1109/irtm54583.2022.9791637","DOIUrl":"https://doi.org/10.1109/irtm54583.2022.9791637","url":null,"abstract":"With time, Science has proved to be the Best Solution for solving problems and making our work easier and effective. In the last year and a half, COVID-19 has completely transformed our lives. Technology has become more important and necessary than ever in order for us to lead a quality life and help us adjust to the new normal. If one thing that COVID-19 has shown us profoundly, then it is how machines and technology can perform certain tasks efficiently, sometimes better than humans. Be it delivering food and medicine or predicting the number of cases or telling us the probability of spread of the virus, technology has proven to be very efficient in these testing times. Especially with a virus-like COVID-19 which is highly contagious and spreads through human contact, humans were highly dependent on technology even for the simplest of tasks. Through this paper, we review and research how exactly important technological domains Robotics, Data Science, Data Analytics, Computer Vision, VR, and others have played a major role or can play a major role in the management of and study of COVID-19. We have done a thorough study on the various technologies used to combat COVID 19.","PeriodicalId":426354,"journal":{"name":"2022 Interdisciplinary Research in Technology and Management (IRTM)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123873891","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

An Optimization Based PID Controller tunning approach for the induction motor employed in an Electric Vehicle 一种基于优化PID控制器的电动汽车感应电机整定方法

2022 Interdisciplinary Research in Technology and Management (IRTM) Pub Date : 2022-02-24 DOI: 10.1109/irtm54583.2022.9791654

Sanket Bose, Saransh Chourey, Sivasankari Sundaram

引用次数: 1

Transmission Line Fault Detection Using Wavelet & Artificial Neural Network 基于小波和人工神经网络的输电线路故障检测

2022 Interdisciplinary Research in Technology and Management (IRTM) Pub Date : 2022-02-24 DOI: 10.1109/irtm54583.2022.9791621

Jivitesh Nitin Chavan, A. A. Kale, S. R. Deore

引用次数: 1

AI Based Farm Fish Disease Detection System to Help Micro and Small Fish Farmers 基于人工智能的养殖场鱼病检测系统，帮助微型和小型养殖户

2022 Interdisciplinary Research in Technology and Management (IRTM) Pub Date : 2022-02-24 DOI: 10.1109/irtm54583.2022.9791553

Narayana Darapaneni, S. Sreekanth, A. Paduri, Anthony Shohan Roche, V. Murugappan, Keisham Kiron Singha, Amey V Shenwai

{"title":"AI Based Farm Fish Disease Detection System to Help Micro and Small Fish Farmers","authors":"Narayana Darapaneni, S. Sreekanth, A. Paduri, Anthony Shohan Roche, V. Murugappan, Keisham Kiron Singha, Amey V Shenwai","doi":"10.1109/irtm54583.2022.9791553","DOIUrl":"https://doi.org/10.1109/irtm54583.2022.9791553","url":null,"abstract":"Micro and small scale Fish Farmers play a crucial role in the inland Fish farming Industry. Fish farmers in this segment face certain unique problems. One of which is the diseases affecting the fishes being cultured on their farm. Maintaining sustained Health of the fishes is essential, failing which, these farmers are liable to suffer heavy losses. Manual observation by the trained farmers, plays a key role at present, to maintain sustained observation to detect the onset of a disease in the fish farming pen or pond. This method has a severe drawback, in that it has an inherently high level of error and also a higher time lag between observations that is practically possible. In order to remove these drawbacks and increase overall efficiency in timely detection of the onset of diseases in the fishes, in any given pen or pond, an AI-based disease detection system is envisaged. This system covers periodical optical monitoring of the fishes in the farm, detecting the onset of any disease, with a minimum time lag and sending instant messages to all the stakeholders to enable them to initiate remedial action. This approach is bound to pre-empt suffering of financial loss by the farmers, due to the death of the fish.","PeriodicalId":426354,"journal":{"name":"2022 Interdisciplinary Research in Technology and Management (IRTM)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122762235","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: 6

Operational Risk in Semiconductor Fabrication Using Binary Classification Algorithms and Monte Carlo Simulation, a Systemic Review 基于二元分类算法和蒙特卡罗模拟的半导体制造操作风险研究

2022 Interdisciplinary Research in Technology and Management (IRTM) Pub Date : 2022-02-24 DOI: 10.1109/irtm54583.2022.9791608

D. Patnaik, S. R., D. Suresh

引用次数: 0

MediFi : An IoT based Wireless and Portable System for Patient's Healthcare Monitoring MediFi:一种基于物联网的无线和便携式系统，用于患者的医疗监测

2022 Interdisciplinary Research in Technology and Management (IRTM) Pub Date : 2022-02-24 DOI: 10.1109/irtm54583.2022.9791747

Saradwata Bandyopadhyay, A. Singh, Sunil Sharma, Rajrupa Das, Arju Kumari, Angira Halder, Sandip Mandal

引用次数: 0

Fake Currency Recognition System Using Edge Detection 基于边缘检测的假币识别系统

2022 Interdisciplinary Research in Technology and Management (IRTM) Pub Date : 2022-02-24 DOI: 10.1109/irtm54583.2022.9791547

P. Babu, P. Sridhar, Rajeev Ratna Vallabhuni

{"title":"Fake Currency Recognition System Using Edge Detection","authors":"P. Babu, P. Sridhar, Rajeev Ratna Vallabhuni","doi":"10.1109/irtm54583.2022.9791547","DOIUrl":"https://doi.org/10.1109/irtm54583.2022.9791547","url":null,"abstract":"In this paper, we propose a system for currency recognition system and the detection of fake Indian currency banknotes using image processing techniques. It is hard for people to perceive monetary forms from various nations. Our point is to help individuals with taking care of this issue. In any case, money acknowledgement frameworks that are in light of picture investigation are entirely not adequate. Our framework depends on picture handling and makes the procedure programmed and vigorous. Our aim to assist those folks that are not ready to recognize which country's currency note was. We use banknotes which are currency, may differ the size, texture, color. Our system helps in Indian currency identification, which is a fake currency or not. In India,’ currency’ is Transaction, so there is more value for currency in our social and economic development. We have used MATLAB software to recognize other country currencies and Indian fake currency. Modernization within the money-related framework ensures financial improvement, and nowadays, the Indian government has become cognizant about this. Hence, Rs 1000 and Rs 500 notes’ demonetization is the foremost up-to-date case of it. However, we have Rs 2000 as another benefit showcase. In light of the top elevated worth note, quite possibly degenerate individuals will try to make it a fake. The real target of this project is to contemplate distinctive key highlights of recent certifiable money and utilize such systems to acknowledge and confirm new cash circled by India's depository institution. There are different strategies which are utilized to acknowledge fake notes and certifiable one. By utilizing various parts of Digital Image handling, such as picture preparing, Image Segmentation, feature extraction, and viewing pictures, we will then remove the highlights of certified notes. It is a problematic errand for recognizing counterfeit money.","PeriodicalId":426354,"journal":{"name":"2022 Interdisciplinary Research in Technology and Management (IRTM)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123729283","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: 3

Distracted Driver Monitoring System Using AI 人工智能分心驾驶监控系统

2022 Interdisciplinary Research in Technology and Management (IRTM) Pub Date : 2022-02-24 DOI: 10.1109/irtm54583.2022.9791545

Narayana Darapaneni, Bhavik Parikh, A. Paduri, Suman Kumar, Tejas Beedkar, Ashwin Narayanan, Neeraj Tripathi, Tushar Khoche

{"title":"Distracted Driver Monitoring System Using AI","authors":"Narayana Darapaneni, Bhavik Parikh, A. Paduri, Suman Kumar, Tejas Beedkar, Ashwin Narayanan, Neeraj Tripathi, Tushar Khoche","doi":"10.1109/irtm54583.2022.9791545","DOIUrl":"https://doi.org/10.1109/irtm54583.2022.9791545","url":null,"abstract":"According to a study, driving while distracted accounted for more than 15% of fatalities in 2008 in the United States. In 65.5% of these cases, the driver was alone in the cab. As all accidents cannot be monitored, the actual number of incidents and fatalities due to driver distraction can be significantly higher than the accounted incidents and fatalities. Some vehicles now come equipped with advanced driver assist systems (ADAS) to provide automated safety. ADAS uses a combination of sensors such as LiDAR, IR cameras, Radar, ultrasonic sensors and Visual spectrum cameras to perform object detection ang get a situational awareness of the vehicle. Based on this, the ADAS system assist the driver or can take emergency action independently to avert a collision. Owing to the cost of ADAS systems, they are available only in premium cars. This paper explored design and development challenges to create an inexpensive, modular solution to monitor driver's and provide an alert when prolonged distraction is detected. This is not a substitute for a commercial ADAS system but a step towards low-cost driver safety options. Because of its modularity and use of commodity-class hardware, the system should be easy to retrofit in any car at an affordable price.","PeriodicalId":426354,"journal":{"name":"2022 Interdisciplinary Research in Technology and Management (IRTM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116967390","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