2021 International Conference on Innovative Practices in Technology and Management (ICIPTM)最新文献

Design and Development of NavIC and GPS based Geolocation System for CO2 Monitoring 基于NavIC和GPS的CO2监测地理定位系统的设计与开发

2021 International Conference on Innovative Practices in Technology and Management (ICIPTM) Pub Date : 2021-02-17 DOI: 10.1109/iciptm52218.2021.9388326

Sreecharan Chama, Satyanarayana Katukojwala, S. R. Ammana, Shivank Agarwal, K. K. Reddy, D. S. Achanta

{"title":"Design and Development of NavIC and GPS based Geolocation System for CO2 Monitoring","authors":"Sreecharan Chama, Satyanarayana Katukojwala, S. R. Ammana, Shivank Agarwal, K. K. Reddy, D. S. Achanta","doi":"10.1109/iciptm52218.2021.9388326","DOIUrl":"https://doi.org/10.1109/iciptm52218.2021.9388326","url":null,"abstract":"With the development and implementation of NavIC, India has joined the league of very few countries having its own satellite navigation system. NavIC when used together with GPS, provides improved positioning accuracy. Therefore, the design and development of indigenous $text{NavIC} +text{GPS}$ based geolocation systems for mobiles, automotive, IoT services, tracking and monitoring systems, etc. have been gaining significance. In this paper, a $text{NavIC}+text{GPS}$ based geolocation system for CO2level monitoring is designed using a low-cost $text{NavIC}+text{GAGAN}/$ GPS receiver module, Microcontrollers, and a CO2Sensor. This system measures the CO2level with respect to $text{NavIC} + text{GPS}$-based location and time. The proposed system is economical and is a step towards the adoption of NavIC in monitoring systems. Also, such systems carry significance in view of the increasing air pollution in major Indian cities. Further, this system can be extended to monitor major air pollutants such as PM10, PM2.5, dust etc.","PeriodicalId":315265,"journal":{"name":"2021 International Conference on Innovative Practices in Technology and Management (ICIPTM)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116780273","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

Evaluation of Tools and Extension for Fake News Detection 假新闻检测工具评价及扩展

2021 International Conference on Innovative Practices in Technology and Management (ICIPTM) Pub Date : 2021-02-17 DOI: 10.1109/ICIPTM52218.2021.9388356

D. Sharma, Sonal Garg, Priya Shrivastava

引用次数: 10

Analysis through Text Mining Approach: Culinary Experience Dimensions of International Tourists 基于文本挖掘的国际游客烹饪体验维度分析

2021 International Conference on Innovative Practices in Technology and Management (ICIPTM) Pub Date : 2021-02-17 DOI: 10.1109/ICIPTM52218.2021.9388335

Sidharth Srivastava, Teena Pareek, Savita Sharma

{"title":"Analysis through Text Mining Approach: Culinary Experience Dimensions of International Tourists","authors":"Sidharth Srivastava, Teena Pareek, Savita Sharma","doi":"10.1109/ICIPTM52218.2021.9388335","DOIUrl":"https://doi.org/10.1109/ICIPTM52218.2021.9388335","url":null,"abstract":"Culinary tourism attracts a large number of international tourists to experience local delicacies. With the availability of internet services, tourists form an impression about the destination by accessing the reviews digitally. This paper aims to determine the culinary experience dimensions by evaluating the boundaries of digital evidences that are written online by the international tourists after experiencing local food at the attraction. The data was gathered from a popular review website TripAdvisor.com which is widely used in travel and tourism industry. A total of 267 reviews from international tourist about Delhi street food were gathered and qualitative analysis was carried out using bigram analysis in R software to identify the frequent phrases. Later, dimensions were classified, based on the frequent phrases. The findings suggested that identified dimensions of tourists experience on Delhi street food can enhance the destination image of the attraction in front of international tourist who is scrutinizing the reviews online. This paper used a novel dataset and the results can contribute to the culinary literature. Future studies can be planned using bigger respondent values at different geographical locations.","PeriodicalId":315265,"journal":{"name":"2021 International Conference on Innovative Practices in Technology and Management (ICIPTM)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130405608","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

Handwritten Digit Recognition Using CNN 使用CNN的手写数字识别

2021 International Conference on Innovative Practices in Technology and Management (ICIPTM) Pub Date : 2021-02-17 DOI: 10.1109/ICIPTM52218.2021.9388351

Mayank Jain, Gagandeep Kaur, Muhammad Parvez Quamar, Harshit Gupta

{"title":"Handwritten Digit Recognition Using CNN","authors":"Mayank Jain, Gagandeep Kaur, Muhammad Parvez Quamar, Harshit Gupta","doi":"10.1109/ICIPTM52218.2021.9388351","DOIUrl":"https://doi.org/10.1109/ICIPTM52218.2021.9388351","url":null,"abstract":"The issue of transcribed digit acknowledgment has for some time been an open issue in the field of example order. A few examined have demonstrated that Neural Network has an incredible execution in information arrangement. The fundamental target of this paper is to give effective and solid procedures to acknowledgment of transcribed numerical by looking at different existing arrangement models. This paper thinks about the exhibition of Convolutional Neural Network (CCN). Results demonstrate that CNN classifier beat over Neural Network with critical improved computational effectiveness without relinquishing execution. Handwritten digit recognition can be performed using the Convolutional neural network from Machine Learning. Using the MNIST (Modified National Institute of Standards and Technologies) database and compiling with the CNN gives the basic structure of my project development. So, basically to perform the model we need some libraries such as NumPy, ‘Pandas’, TensorFlow, Keras. These are the main structure on which my main project stands. MNIST data contains about 70,000 images of handwritten digits from 0–9. So, it is a class 10 classification model. This dataset is divided into 2 parts i.e. Training and Test dataset. Image representation as 28*28 matrix where each cell contains grayscale pixel value.","PeriodicalId":315265,"journal":{"name":"2021 International Conference on Innovative Practices in Technology and Management (ICIPTM)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126920194","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: 9

Mitigating Financial Fraud Using Data Science - “A Case Study on Credit Card Frauds” 利用数据科学减少金融诈骗-“信用卡诈骗个案研究”

2021 International Conference on Innovative Practices in Technology and Management (ICIPTM) Pub Date : 2021-02-17 DOI: 10.1109/iciptm52218.2021.9388345

Fatima Beena, Insha Mearaj, V. Shukla, S. Anwar

{"title":"Mitigating Financial Fraud Using Data Science - “A Case Study on Credit Card Frauds”","authors":"Fatima Beena, Insha Mearaj, V. Shukla, S. Anwar","doi":"10.1109/iciptm52218.2021.9388345","DOIUrl":"https://doi.org/10.1109/iciptm52218.2021.9388345","url":null,"abstract":"In the early years of fast and active development of 80s and 90s, financial frauds happened to be pretty simple. They were not more than duplicity of forged cheques, draining peoples or investors' money through fake company formations, and minutest scrutinization of the loan documents etc. These were the only means for the fraudsters to play around. It is only after the advancement and adoption of desktop culture we have witnessed the whole new age of cybercrime and digital frauds. Investors, retailers, businesses and corporates none were spared and were hard hit. Since then, financial frauds have become intimidating for businesses and especially for the banks across the globe. With the advent and continuous advancement of technology it has further complicated the ways and means for the fraudsters ending up into catastrophic consequences. As data is growing many related connected challenge are also increasing. With the help of data science various aspect of data can be analyzed, various pattern of accessing the data can be understood, which can eventually help to understand the probability of risk associated with various pattern of storing / accessing / retrieving the data. This paper also presents the an analysis on open source dataset, taken from Kaggel, for the data analysis by using logistic regression, and the results of which are measure with confusion matrix, which provides more clear understand of the dataset.","PeriodicalId":315265,"journal":{"name":"2021 International Conference on Innovative Practices in Technology and Management (ICIPTM)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122996265","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

Integration of solar power in smart grid, perspective: Chittagong (Bangladesh) 太阳能在智能电网中的整合，透视:吉大港(孟加拉国)

2021 International Conference on Innovative Practices in Technology and Management (ICIPTM) Pub Date : 2021-02-17 DOI: 10.1109/iciptm52218.2021.9388338

Dipayan Mazumder, Stabak Das

引用次数: 0

An Investigation on the Performance of Intra-site and Inter-site Coordinated Multipoint LTE-A Networks 局内和局间协调多点LTE-A网络性能研究

2021 International Conference on Innovative Practices in Technology and Management (ICIPTM) Pub Date : 2021-02-17 DOI: 10.1109/ICIPTM52218.2021.9388336

Sandeep Gulia, Anwar Ahmad

引用次数: 3

Hand Sign Recognition using Infrared Imagery Provided by Leap Motion Controller and Computer Vision 使用Leap运动控制器和计算机视觉提供的红外图像进行手势识别

2021 International Conference on Innovative Practices in Technology and Management (ICIPTM) Pub Date : 2021-02-17 DOI: 10.1109/ICIPTM52218.2021.9388334

Tathagat Banerjee, K. Srikar, S. Reddy, Krishna Sai Biradar, Rithika Reddy Koripally, Gummadi. Varshith

{"title":"Hand Sign Recognition using Infrared Imagery Provided by Leap Motion Controller and Computer Vision","authors":"Tathagat Banerjee, K. Srikar, S. Reddy, Krishna Sai Biradar, Rithika Reddy Koripally, Gummadi. Varshith","doi":"10.1109/ICIPTM52218.2021.9388334","DOIUrl":"https://doi.org/10.1109/ICIPTM52218.2021.9388334","url":null,"abstract":"Speech Impairment and conversion of sign language to human re-engineered audio signals is something computer science has always been interested in. However, the architectural robustness and extraction of features on a very insignificant area of change have posed decade long problems to achieve this idea. The paper proposes a Convolutional Neural network based on a deep belief model on Data imagery collected by leap motion controllers on hand sign recognition. The database is composed of 10 different hand-gestures that were performed by 10 different subjects (5 men and 5 women) which is presented, composed by a set of near-infrared images acquired by the Leap Motion sensor. The paper tries to achieve high accuracy on the pertaining training set inorder to create and form a robust model. It embraces the first step towards image understanding of human signs and aid specially-abled people. We have implemented and tested the algorithm for 2000 images each class. The paper achieves the accuracy and precision of 99.4% and 99.68% respectively. The implications of the study intend to enhance understanding of infrared imagery for small areas of localization feature detection and intend to help the idea of human audio re-engineering a resurgence by using the same.","PeriodicalId":315265,"journal":{"name":"2021 International Conference on Innovative Practices in Technology and Management (ICIPTM)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123371431","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

An Effective IoT Empowered Real-time Gas Detection System for Wireless Sensor Networks 一种有效的物联网无线传感器网络实时气体检测系统

2021 International Conference on Innovative Practices in Technology and Management (ICIPTM) Pub Date : 2021-02-17 DOI: 10.1109/ICIPTM52218.2021.9388365

S. Yadav, Smita Sharma, Lipsa Das, Shubhi Gupta, Swati Vashisht

引用次数: 15

Analyzing Adoption of Electric Vehicles in India for Sustainable Growth Through Application of Technology Acceptance Model 应用技术接受模型分析印度电动汽车的可持续发展

2021 International Conference on Innovative Practices in Technology and Management (ICIPTM) Pub Date : 2021-02-17 DOI: 10.1109/ICIPTM52218.2021.9388363

Navleen Kaur, Supriya Lamba Sahdev, Riya Surinder Bhutani

引用次数: 7