Debasis Patnaik, Shashi L. Yadav, Nilay Pradeep Rajderkar
{"title":"Use of Principal Components Analysis to Identify Relevant Health Care Parameters Among Nursing Staff on Satisfaction Perception of Health Care Services in Selected Hospitals of Goa","authors":"Debasis Patnaik, Shashi L. Yadav, Nilay Pradeep Rajderkar","doi":"10.1109/irtm54583.2022.9791597","DOIUrl":"https://doi.org/10.1109/irtm54583.2022.9791597","url":null,"abstract":"Health concept is multi-faceted in which healthcare services analysis is an important issue that warrants multivariate approaches (Klomp and de Haan 2009). Hospitals have constraints such as buildings in dilapidated conditions, inadequate equipment, lack of emergency/ intensive care services, access to pharmacy and supplies, lack of qualified staff and inadequate maintenance of medical records (Indian Public Health Standards (IPHS) Guidelines for District Hospitals Directorate General of Health Services Ministry of Health & Family Welfare Government of India, 2012). The aim of the study is to identify relevant health care parameters by use of pca on response data of nurses revealing satisfaction. A cross-sectional, descriptive study was conducted between May 2016 to December 2018. A simple random technique was used to obtain a sample of 450 clients. However, a total of 395 clients participated in the study. Government Hospitals were selected along with private hospitals of Goa. Ethical clearance was obtained from Director, Directorate of Health Services, Goa and Medical Superintendent of a private hospital. Further permission was obtained from respective Head of Department of the hospitals under study. Initially, a sampling frame of HCRs available in each ward was prepared. Selected wards included Department of Obstetrics/ Gynecology, Medicine, Surgery, Orthopaedic and General ward. On an average 25-30 clients were admitted in the wards of the hospital. Based on the weights in the PC1 component, we see that Empathy, Responsiveness, in service education and Equipment carry the maximum weight in the component that explains most of the variance, and are hence significant to us.","PeriodicalId":426354,"journal":{"name":"2022 Interdisciplinary Research in Technology and Management (IRTM)","volume":"46 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":"114163527","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}
{"title":"Bioequivalence System for Drug Analysis","authors":"A. Belov, Kseniya Fimina","doi":"10.1109/irtm54583.2022.9791517","DOIUrl":"https://doi.org/10.1109/irtm54583.2022.9791517","url":null,"abstract":"Pharmaceutical companies and medical research centers are conducting intensive research on the effects of drugs on humans. As a result of these studies huge volume of statistical data is accumulated. To process this information various software tools are used ranging from Excel to such BI applications as IBM SPSS, Statistica, SAS e.t.c. However, the use of these applications requires the user to have knowledge of statistical methods and to be sophisticated user. In addition, these applications are proprietary and any changes of the software require special permissions from vendors. In this paper, we propose the specialized software is named SmartMed system for analyzing medical data for doctors and medical experts. To provide the economical viability the system is implemented using free and low cost software. The SmartMed system includes three main modules: * Descriptive analysis, * Bioequivalence, * Predictive models.","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":"132851713","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}
{"title":"ICT Enabled Pedagogy in the Higher Education Institutions of Tamil Nadu -Faculty Perspective","authors":"S. S., ST Surulivel, Alamelu R","doi":"10.1109/irtm54583.2022.9791581","DOIUrl":"https://doi.org/10.1109/irtm54583.2022.9791581","url":null,"abstract":"The educational system has been revamped to match with the modern-day requirements and currently India has institutions of repute across several disciplines. The state of Tamil Nadu has reserved a dominant place in the higher education landscape of our country with over 1000 higher education institutions offering programmes across various professional courses. This study is to find out the status and the factors contribute to the satisfaction by enabling ICT in higher education pedagogy, and is conducted among the faculty members. There were 533 Engineering institutions in 2017 according to AICTE. 10% of the population units were considered that brought to 50 Engineering, Management & Technology across Tamil Nadu (total of 81 institutions) with 552 samples were considered for the study through proportionate sampling. SPSS software was used for data analysis and methods like percentage analysis and linear regression methods. The findings of the study revealed that ICT integration is the most significant factor in contributing to the overall satisfaction.","PeriodicalId":426354,"journal":{"name":"2022 Interdisciplinary Research in Technology and Management (IRTM)","volume":"34 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":"123921986","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}
{"title":"Exploring the EWOM Impact on End Users Towards Online Snack Purchases: A PLS SEM Approach","authors":"V. C., G. R., Theresa C, K. S., C. V","doi":"10.1109/irtm54583.2022.9791809","DOIUrl":"https://doi.org/10.1109/irtm54583.2022.9791809","url":null,"abstract":"Consumer preference is mostly subjective, and it is perceived based on the standard utilities. Customer choices and preferences are the foundation of demand. Due to globalization the lifestyle of the Indian customer has changed in many dimensions and particularly in the choice of channel for purchase. Consumers are growing more aware of how to eat well through the internet and social media, and they are looking for brands & options. So far, Technology is changing the way food is reaching the consumer. Snacking has become an integral part of our Indian lifestyle. Snacking plays always an integral part of our Indians' lifestyle. The sea changes of the public towards the healthier living & food habits has increased the online purchase of snacking also. The Current study was based on the website quality and transaction quality evaluation on snack expert.com. Purposive random sampling is a method is adopted for the current study with a sample of 300 from Chennai city. The data collected has been analyzed by using Visual PLS tool and the structural equation model has been developed. The PLS model confirmed that the perception of Indian customers towards online snacking has an adequate model fit which is represented by the R2square Value of customer satisfaction (0.404) and behavioral intention of (0.925).","PeriodicalId":426354,"journal":{"name":"2022 Interdisciplinary Research in Technology and Management (IRTM)","volume":"189 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":"124181270","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}
A. Chatterjee, Soumya Naskar, Siddhid Das, Tohit Bhowmick, A. Chatterjee
{"title":"A Bandpass Frequency Selective Surface Using Ring Slots for Dual-Band Applications","authors":"A. Chatterjee, Soumya Naskar, Siddhid Das, Tohit Bhowmick, A. Chatterjee","doi":"10.1109/irtm54583.2022.9791693","DOIUrl":"https://doi.org/10.1109/irtm54583.2022.9791693","url":null,"abstract":"A Frequency Selective Surface (FSS) with dual-band bandpass response at 2.4 GHz and 5.2 GHz is proposed in this paper. The proposed FSS unit cell consists of two circular ring slots loaded with metallic splits for the purpose of fine tuning of the transmission poles. The FSS exhibits −3 dB bandwidths of 0.68 GHz and 0.63 GHz in the first and second passbands respectively. The FSS exhibits lower insertion loss of around 0.25 dB in both the passbands. A detail study of effect of the split gap on the response of the dual-band FSS is also presented in the paper. The FSS is suitable for various applications in the ISM band.","PeriodicalId":426354,"journal":{"name":"2022 Interdisciplinary Research in Technology and Management (IRTM)","volume":"50 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":"131538469","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}
{"title":"Recognition of Handwritten Bengali Characters using Low Cost Convolutional Neural Network","authors":"Rohit Jadhav, Siddhesh Gadge, Kedar Kharde, Siddhesh Bhere, Indu Dokare","doi":"10.1109/irtm54583.2022.9791802","DOIUrl":"https://doi.org/10.1109/irtm54583.2022.9791802","url":null,"abstract":"Handwritten character recognition of Bangla Script is one of the most difficult and complex tasks in pattern recognition, because of the complicated alignment and similarity in the characters. This paper aims to explore the usage of a Convolutional Neural Network to recognize Handwritten Bangla characters. The classification stages and feature extraction stages of any pattern recognition task are responsible for accurately recognizing the patterns. The paper proposes a novel low-cost CNN architecture for Bengali Character Recognition over present well-known datasets CMATERdb, BanglaLekha-Isolated, Ekush. Using Convolutional Neural Network, the proposed model achieves good accuracy and well generalizes over multiple datasets. Overall Recognition accuracy obtained for datasets such as CMATERdb, BanglaLekha-Isolated, Ekush is 87%, 89.6%, 83.1% respectively.","PeriodicalId":426354,"journal":{"name":"2022 Interdisciplinary Research in Technology and Management (IRTM)","volume":"28 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":"115158870","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}
{"title":"The Upsurge of Mobile Wallet Adoption by Generation X: Evidence from India","authors":"R. Guhan, K. Nigama","doi":"10.1109/irtm54583.2022.9791710","DOIUrl":"https://doi.org/10.1109/irtm54583.2022.9791710","url":null,"abstract":"Digital transformation in payments makes crucial changes in the landscape of Asian information and communication technology. After China, India played a significant role in the mobile wallet market to become a global leader. According to Global Data company, Mobile wallet transaction is expected to reach Rs.100 trillion in 2024. The aim of this researchis to identify the behaviour intention to the usage of mobile wallets by Generation X. The survey was conducted online among the 182 respondents to test the hypotheses. The recommended model consists of five factors from the UTAUT2 model, which impact the behaviour intention to use Mobile wallets by Generation X. The percentage analysis and PLS-SEMalso known as partial least squares-structural equation modelling techniquewere employed to validate this study. This research identifies that social influence, effort expectancy and performance expectancy performs a substantial role in Generation X's behavioural intention to adopt mobile wallets. The study will lead the knowledge about the key variables that affect mobile wallet adoption by Generation X in India.","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":"121390065","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}
{"title":"Series Active Power Filter (SAPF) For Power Quality Improvement","authors":"Shradha Balajirao Anawade, A. A. Kale","doi":"10.1109/irtm54583.2022.9791618","DOIUrl":"https://doi.org/10.1109/irtm54583.2022.9791618","url":null,"abstract":"There are different compensating devices which are generally used in the case filtering system of the active part, balancing of the load as well as the correction in the case of the power factor while the regulation of the voltage can also be possible. The active power filters are used for the purpose of the elimination of the harmonics system and used for the case of the connection for the series as well as the shunt system. The present work is related to the electrical distribution system where the increasing condition for the single phase is very sudden as well as the loads considered to be linear as well as the non-linear. The voltage stabilizer when used for the case of the overcoming certain drawbacks related to the distribution system then the development of the active power filter has very crucial role to be played. The objectives of the present work consisting evaluation of the performance related to the voltage stabilizer for the different conditions of the active power filter.","PeriodicalId":426354,"journal":{"name":"2022 Interdisciplinary Research in Technology and Management (IRTM)","volume":"7 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":"130049688","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}
{"title":"Blockchain based applications' future challenges in food traceability","authors":"P. Vyas, D. Patel","doi":"10.1109/irtm54583.2022.9791625","DOIUrl":"https://doi.org/10.1109/irtm54583.2022.9791625","url":null,"abstract":"Rising cases of contaminated food products are resulting in customer trust erosion and economic loss to stakeholders of the food industry. Various stakeholders like food producers, distributors, auditing, and certification agencies are working with researchers to address this issue. Studying the supply chain can aid in tracking and authenticating information gathered at various points regarding the food product. Using blockchain technology for supply chain management can ensure transparency and traceability of the data recorded in the supply chain. In this paper, we review the suitability of blockchain technology in guaranteeing traceability and authenticity in the supply chain. We find that although characteristics of blockchain are highly suitable for providing traceability, authenticity, and transparency there are still challenges in data capturing, authentication of captured data, and the high cost of adoption of such system.","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":"122638325","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}
Noshin Nirvana Prachi, Faisal Mahmud Nahiyan, Md. Habibullah, R. Khan
{"title":"Deep Learning Based Speaker Recognition System with CNN and LSTM Techniques","authors":"Noshin Nirvana Prachi, Faisal Mahmud Nahiyan, Md. Habibullah, R. Khan","doi":"10.1109/irtm54583.2022.9791766","DOIUrl":"https://doi.org/10.1109/irtm54583.2022.9791766","url":null,"abstract":"Speaker recognition is an advanced method to identify a person from the biometric characteristics of speaking voice samples. Speaker recognition has become a vastly popular and useful research subject with countless essential applications in security, assistance, replication, authentication, automation, and verification. Many techniques are implemented using deep learning and neural network concepts and various datasets for speaker verification and identification. The primary goal of this work is to create improved robust techniques of speaker recognition to identify audio and enhance accuracy to human levels of comprehension. TIMIT and LibriSpeech datasets are used in this paper to develop an efficient automatic speaker recognition system. This work focuses on using MFCC to transform audio to spectrograms without losing the essential features of the audio file in question. We have used a closed set and an open set implementation procedure on these datasets. The closed set implementation uses a standard machine learning convention of utilizing the same datasets for training and testing, leading to higher accuracy. On the other hand, the open set implementation uses one dataset to train and another to test on each occasion. The accuracy, in this case, turned out to be relatively lower. On each dataset, CNN and LSTM deep learning techniques have been used to identify the sound, leading to the observation that implementing CNN resulted in a more significant accuracy.","PeriodicalId":426354,"journal":{"name":"2022 Interdisciplinary Research in Technology and Management (IRTM)","volume":"86 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":"126245458","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}