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2022 Interdisciplinary Research in Technology and Management (IRTM)最新文献

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Securing cash withdrawal from ATM with the help of Smart Mobile Banking Application 借助智能手机银行应用程序，确保从自动柜员机提取现金
2022 Interdisciplinary Research in Technology and Management (IRTM) Pub Date : 2022-02-24 DOI: 10.1109/irtm54583.2022.9791786
Rashmi Pote, Sushil Kulkarni
{"title":"Securing cash withdrawal from ATM with the help of Smart Mobile Banking Application","authors":"Rashmi Pote, Sushil Kulkarni","doi":"10.1109/irtm54583.2022.9791786","DOIUrl":"https://doi.org/10.1109/irtm54583.2022.9791786","url":null,"abstract":"Performing cash withdrawal transaction with ATM is increasing day by day. ATM is very important device throughout the world. Each one of us uses ATM for our different banking needs. We are suggesting a method to withdraw money from ATM which uses a Smart Mobile Banking Application (SMBA). The customer has to first register the smart phone with bank server and install smart mobile banking application from bank portal. Customer can set a password as a security authentication for initiating a cash withdrawal from SMBA. After initiating the cash withdrawal and successful password authentication by bank server, cash withdrawal is partially committed to the database of bank, customer can visit the nearest ATM and collect the cash by transferring personal information by Quick Response (QR) code.","PeriodicalId":426354,"journal":{"name":"2022 Interdisciplinary Research in Technology and Management (IRTM)","volume":"27 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":"124061165","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
MCDM Selection of Laptops in TOPSIS: Criteria Weighting with Combined AHP and Entropy TOPSIS中笔记本电脑的MCDM选择:AHP和熵相结合的标准加权
2022 Interdisciplinary Research in Technology and Management (IRTM) Pub Date : 2022-02-24 DOI: 10.1109/irtm54583.2022.9791583
I. Petrov
{"title":"MCDM Selection of Laptops in TOPSIS: Criteria Weighting with Combined AHP and Entropy","authors":"I. Petrov","doi":"10.1109/irtm54583.2022.9791583","DOIUrl":"https://doi.org/10.1109/irtm54583.2022.9791583","url":null,"abstract":"This paper presents a combined approach based on the Analytical Hierarchy Process(AHP) with criteria structured in blocks and objective weighting of criteria with Entropy for improving the methodology of Multi-Criteria Decision Making (MCDM) for selecting laptop computers. A structured approach allows optimizing the combination of professional experts ' opinions and objectivity of data-driven entropy methods. The hybrid method is applied on a real dataset of 11 evaluation criteria and 12 alternatives from 4 major manufacturers of personal computers (PC) with a simulation reflecting the needs of individual users and small education organizations under conditions of COVID-19.","PeriodicalId":426354,"journal":{"name":"2022 Interdisciplinary Research in Technology and Management (IRTM)","volume":"44 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":"123971495","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: 2
Visual Perception Through Smart Mirror 通过智能镜子实现视觉感知
2022 Interdisciplinary Research in Technology and Management (IRTM) Pub Date : 2022-02-24 DOI: 10.1109/irtm54583.2022.9791750
Harshita Sharma, Subhradeep Das, Purba Mandal, Ankan Acharya, Pritilima Kumar, Mainack Dasgupta, Rituparna Basak, Sudipta Basu Pal
{"title":"Visual Perception Through Smart Mirror","authors":"Harshita Sharma, Subhradeep Das, Purba Mandal, Ankan Acharya, Pritilima Kumar, Mainack Dasgupta, Rituparna Basak, Sudipta Basu Pal","doi":"10.1109/irtm54583.2022.9791750","DOIUrl":"https://doi.org/10.1109/irtm54583.2022.9791750","url":null,"abstract":"Smart Mirror is a mirror made using Raspberry Pi 4. It aims to provide several functionalities like displaying weather, time, daily news as well as several different utilities which helps the user to interact with the mirror. The project earmarks to design a futuristic version of a mirror by using the fundamentals of object detection. In this paper we have performed enhancing the utility of a smart mirror by providing it security through the Raspbian camera by using the fundamentals of object detection through the OpenCV module and YOLO.","PeriodicalId":426354,"journal":{"name":"2022 Interdisciplinary Research in Technology and Management (IRTM)","volume":"20 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":"126370098","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 Dual-band filtenna for 2.4 and 5.8 GHz Wireless Local Area for Network Applications 一种用于网络应用的2.4和5.8 GHz无线局域网的新型双频滤波器
2022 Interdisciplinary Research in Technology and Management (IRTM) Pub Date : 2022-02-24 DOI: 10.1109/irtm54583.2022.9791528
Harminder Singh, R. Sharma, R. Arora
{"title":"A Novel Dual-band filtenna for 2.4 and 5.8 GHz Wireless Local Area for Network Applications","authors":"Harminder Singh, R. Sharma, R. Arora","doi":"10.1109/irtm54583.2022.9791528","DOIUrl":"https://doi.org/10.1109/irtm54583.2022.9791528","url":null,"abstract":"In this research, a compact patch microstrip antenna is considered that is utilized in applications of satellite communication and wireless local area network. In the wireless communication systems advancements, several bands like as multi-band wideband and wires are famous all across the globe. Commonly, a wireless communication system that is utilized these days is wireless local area network. This research comprised of creating the projected microstrip patch antenna of dimensions is $boldsymbol{37text{mm x} 51}$ mm and with1.6mm thickness. This patch antenna has sufficient gain and operated on one band. The ground is copper and material can be used for feedline and for substrate it is (lossy) FR-4. The polygon antenna shaped covering frequency range 2.4GHz and simulation work is completed with assistance of CST student edition tool. The extracted simulation results of the proposed patch antenna offered outstanding performance and displayed to be appropriate for wireless local area network applications.","PeriodicalId":426354,"journal":{"name":"2022 Interdisciplinary Research in Technology and Management (IRTM)","volume":"31 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":"132311429","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
Predicting Stock Market Price Movement Using Machine Learning Technique: Evidence from India 使用机器学习技术预测股票市场价格走势:来自印度的证据
2022 Interdisciplinary Research in Technology and Management (IRTM) Pub Date : 2022-02-24 DOI: 10.1109/irtm54583.2022.9791640
P. T, M. R, Kirupa Priyadarsini M
{"title":"Predicting Stock Market Price Movement Using Machine Learning Technique: Evidence from India","authors":"P. T, M. R, Kirupa Priyadarsini M","doi":"10.1109/irtm54583.2022.9791640","DOIUrl":"https://doi.org/10.1109/irtm54583.2022.9791640","url":null,"abstract":"The stock market is uncertain, volatile, and multidimensional. Stock prices have been difficult to predict since they are influenced by a variety of factors. In order to make critical investment and financial decisions, investors and analysts are interested in predicting stock prices. Predicting a stock's price entails developing price pathways that a stock might take in the future. ANN and mathematical Geometric Brownian movement technique were employed in this study to forecast a stock market closing price of Indian companies. The comparative analysis indicates that the Geometric Brownian Method is better than ANN in giving better MAPE and RMSE Values.","PeriodicalId":426354,"journal":{"name":"2022 Interdisciplinary Research in Technology and Management (IRTM)","volume":"13 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":"131029698","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
Mobile Telecommunication Networks: Advertisement and Customer Decision Making 移动通信网络:广告与客户决策
2022 Interdisciplinary Research in Technology and Management (IRTM) Pub Date : 2022-02-24 DOI: 10.1109/irtm54583.2022.9791692
George Yaw Asare Addeh, Ekor Nash William Kudjo, Papa Demba Yora, Abdullah Mma Al-Omari, Abdullah Noman, Appiah Vincentia Serwah, Ferdinand Amuzu
{"title":"Mobile Telecommunication Networks: Advertisement and Customer Decision Making","authors":"George Yaw Asare Addeh, Ekor Nash William Kudjo, Papa Demba Yora, Abdullah Mma Al-Omari, Abdullah Noman, Appiah Vincentia Serwah, Ferdinand Amuzu","doi":"10.1109/irtm54583.2022.9791692","DOIUrl":"https://doi.org/10.1109/irtm54583.2022.9791692","url":null,"abstract":"This study aimed to see how a brand influences consumer behavior, especially purchase behavior, and how this relates to the current Ghanaian telecommunications industry. The research examines the impact of advertising on consumer behavior, in terms of how advertising prompts consumers to buy. This study was to examine the effect of advertising on consumers in the service sector, to determine the factors that motivate consumers to make an offer, as well as the type of advertising that influences consumers to make a purchase. The target population of the research involved both male and female clients/customers of Telecommunication Networks in Ghana, the subscribers, and some managers of the company. From the questionnaire used, the study shows that consumers respond effectively to advertising when it is informative, that is when it provides useful information that helps consumers make shots. The respondent sought more information about the product when buying it. In short, the consumer is well informed about the many brands out there, which is why the image is extremely necessary when making a purchasing decision, especially for beginners. This requires massive service improvements, innovation, and differentiation. It is suggested that the Ghana Telecommunications companies, improve the network to meet the interest and expectations of the customers.","PeriodicalId":426354,"journal":{"name":"2022 Interdisciplinary Research in Technology and Management (IRTM)","volume":"4 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":"131078523","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
Object Detection of Furniture and Home Goods Using Advanced Computer Vision 利用先进的计算机视觉检测家具和家居用品
2022 Interdisciplinary Research in Technology and Management (IRTM) Pub Date : 2022-02-24 DOI: 10.1109/irtm54583.2022.9791508
Narayana Darapaneni, S. M, Mukul Paroha, A. Paduri, Rohit George Mathew, Namith Maroli, Rohit Eknath Sawant
{"title":"Object Detection of Furniture and Home Goods Using Advanced Computer Vision","authors":"Narayana Darapaneni, S. M, Mukul Paroha, A. Paduri, Rohit George Mathew, Namith Maroli, Rohit Eknath Sawant","doi":"10.1109/irtm54583.2022.9791508","DOIUrl":"https://doi.org/10.1109/irtm54583.2022.9791508","url":null,"abstract":"Object Detection Technology has been a subject to much research and development due to increasing use of images and videos as data sources and their huge number of applications. Traditional models for object detection had limitations in training and did not use transfer learning for their benefit. With the evolution of deep learning and Neural networks, newer and powerful tools have made way to achieve Object Detection in real-time, with the added advantage of transfer learning and detection of multiple instances of different classes of interest in the given image context. The proposed system is an Object Detection model based on the Single Shot Detector (SSD) algorithm trained with MobileNetV2 feature extraction that can be utilized and integrated in e-commerce, hospitality industry, security and surveillance, real estate, self-driving cars and floor inventory management.","PeriodicalId":426354,"journal":{"name":"2022 Interdisciplinary Research in Technology and Management (IRTM)","volume":"357 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":"132706663","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: 2
Early Detection of Skin Cancer - Solution for Identifying and Defining Skin Cancers using AI 皮肤癌的早期检测-使用人工智能识别和定义皮肤癌的解决方案
2022 Interdisciplinary Research in Technology and Management (IRTM) Pub Date : 2022-02-24 DOI: 10.1109/irtm54583.2022.9791676
Narayana Darapaneni, Bhawna Sahni, A. Paduri, S. Jain, Syed Mohamed, Abin Banerjee, Santhanu Chakrabarti
{"title":"Early Detection of Skin Cancer - Solution for Identifying and Defining Skin Cancers using AI","authors":"Narayana Darapaneni, Bhawna Sahni, A. Paduri, S. Jain, Syed Mohamed, Abin Banerjee, Santhanu Chakrabarti","doi":"10.1109/irtm54583.2022.9791676","DOIUrl":"https://doi.org/10.1109/irtm54583.2022.9791676","url":null,"abstract":"Skin Cancer is seen as one of the most hazardous forms and common types of cancer in the world. Each year there are approximately more than 10 million new cases of skin cancer recorded globally - this number is alarming. The survival rate is very low if diagnosed in later stages. Artificial Intelligence can play a very important role in using Medical Image Diagnosis to detect this disease in early stages. However, the AI systems for the classification of different skin lesions, are still in the very early stages of clinical application in terms of being ready to aid in the diagnosis of skin cancers. Moreover, there are not many players who are doing research in this direction for conditions specified in the Indian subcontinent. The present paper focusses on advancement in AI solutions in digital image based computer vision for the diagnosis of skin cancer, Some of the challenges and future opportunities to improve the ability to diagnose skin cancer in early stages have also been discussed. Using the HAIS AI tool, we present a computer-aided method, using computer vision and image analysis algorithms for Skin Cancer diagnosis, with improved accuracy. Our solution is focused on the Indian sub-continent and envisions catering to varied business needs that provide flexibility on its adoption and use.","PeriodicalId":426354,"journal":{"name":"2022 Interdisciplinary Research in Technology and Management (IRTM)","volume":"18 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":"125075366","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
Autonomous Water Flow Control And Monitoring System 自主水流控制与监测系统
2022 Interdisciplinary Research in Technology and Management (IRTM) Pub Date : 2022-02-24 DOI: 10.1109/irtm54583.2022.9791534
Shatabdi Basu, A. Ahmed, Hitarth Pareek, P. Sharma
{"title":"Autonomous Water Flow Control And Monitoring System","authors":"Shatabdi Basu, A. Ahmed, Hitarth Pareek, P. Sharma","doi":"10.1109/irtm54583.2022.9791534","DOIUrl":"https://doi.org/10.1109/irtm54583.2022.9791534","url":null,"abstract":"Water conservation and management has become an important topic in recent times due to rapid decline of water resources across the globe. Water scarcity is a looming crisis brought on by climate changes, population explosion and wasteful water usage practices. There is need to design and implement cost-effective and user friendly systems for water management which require little or no manual intervention. In this paper an autonomous system is presented that can mitigate water wastage using real time water flow control and monitoring. The designed prototype uses IR sensors to automatically cease water discharge from overflowing faucets and taps. The system uses water flow sensor for water usage monitoring. This real time water consumption data in an area can be stored in cloud server for analytics purposes.","PeriodicalId":426354,"journal":{"name":"2022 Interdisciplinary Research in Technology and Management (IRTM)","volume":"4 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":"129078745","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
Small Sample Estimation of Classification Metrics 分类指标的小样本估计
2022 Interdisciplinary Research in Technology and Management (IRTM) Pub Date : 2022-02-24 DOI: 10.1109/irtm54583.2022.9791645
S. Manna
{"title":"Small Sample Estimation of Classification Metrics","authors":"S. Manna","doi":"10.1109/irtm54583.2022.9791645","DOIUrl":"https://doi.org/10.1109/irtm54583.2022.9791645","url":null,"abstract":"Estimation of classification evaluation metrics for small sample classification data is one of the most challenging task in Machine Learning model building process. The value of an evaluation metric based on the test data is considered to be the generalized performance measure of a classification model. Measuring the performance of a model based only on the test data works well when we have a large data set and both train and test data follow the same population distribution. However, this assumption does not always work for small data set. Therefore, measuring performance of a model based on test data set may mislead us for small sample classification problems. To deal with such situations, in this paper, we propose a modified method to estimate classification evaluation metrics. The new method provides an improved and consistent estimation of classification evaluation metrics.","PeriodicalId":426354,"journal":{"name":"2022 Interdisciplinary Research in Technology and Management (IRTM)","volume":"56 5 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":"132087441","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
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