Srikanta Mohapatra, P. Sarangi, Premananda Sahu, B. K. Sahoo, P. Sarangi, Neetu Mittal
{"title":"Internet of Things: Security, Challenges, Open Problems & Solutions","authors":"Srikanta Mohapatra, P. Sarangi, Premananda Sahu, B. K. Sahoo, P. Sarangi, Neetu Mittal","doi":"10.1109/icrito51393.2021.9596298","DOIUrl":"https://doi.org/10.1109/icrito51393.2021.9596298","url":null,"abstract":"The recent development of IOT emphasizes on the connection of most of the devices by means of smarter and intelligence way. These devices communicate with each other via internet without or/very less communication link of human being. The network of IoT is highly heterogeneous, uncontrolled, broad and perspicacious. All the data centric activities are done by 3 vital steps i.e sensing, analyzing and processing. The Internet of Things (IoT) is a cooperative system which connects a large number of computing devices which includes sensors, actuators, processors to a single IP address and the computing devices of IoT are provided with Unique Identifiers (UIDs). The major goal of IoT is to create a real world environment where frequently used agile objects coherently linked with internet. The growth rate of IoT devices has been increasing at a very high speed, so IOT can find its application in every field. All most all areas are using IoT to improve efficiency, customer service and value of the business, but in all respect IOT devices are still requires security and privacy optimization for future sustainable development.","PeriodicalId":259978,"journal":{"name":"2021 9th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116168737","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":"Diagnosis of Lung segmentation for Chest X Ray images using XGBoost","authors":"Preeti Arora, Saksham Gera, V. Kapse","doi":"10.1109/icrito51393.2021.9596557","DOIUrl":"https://doi.org/10.1109/icrito51393.2021.9596557","url":null,"abstract":"Beta version of the corona virus with severe acute respiratory syndrome coronavirus 2 (sara-Cov-2) has been identified at many places. Last year virus causes lung involvement like pneumonia named as corona virus disease (COVID 19) with strange etiology. Since this was e quite new virus no further tested drug is available due to the disease nodality there was nothing much available for patients' line of treatment. For curing the such unknown viral disease only possible solutions if to break the chain of infections. BY social distancing and test on the larger cluster can only be the hit method to cure such chains. Tomography in radiology is the diagnostic way to identify the disease at earlier stage. Clinical decisions can made on the basis of the CT and Chest X-ray images are the good means of identification of the corona virus. X - Ray scanning is economically available at most of the places even at remote areas so that general propel can also be benefitted by the early detection of the disease. People are acquiring a tool for the disease detection. In this paper report on investigation study on the all-possible means for cause of corona virus. In this paper we have proposed an automatic method for novel corona virus diagnosis by Chest X- ray images are proposed here. Proposed model XGBoost is based on the convolutions layered fashion deeply. By this proposed model we got the 90 percent accuracy of the testing data. Analysis is done on the comparative study of the XGBoost results and the already existing models results. By comparison we got the proposed method produces the better results as earlier models. Thus, proposed method can be used as effective means for the diagnosis of the corona virus.","PeriodicalId":259978,"journal":{"name":"2021 9th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125785377","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":"Impact of Human Resource Practices on Knowledge Management: An Empirical Analysis","authors":"Rajni","doi":"10.1109/icrito51393.2021.9596279","DOIUrl":"https://doi.org/10.1109/icrito51393.2021.9596279","url":null,"abstract":"The expansion of organizations leads to creation of vast amounts of information and knowledge that requires to be disseminated. Searching for this knowledge from vast pool of information is not easy. For organizations to make better use of the knowledge available to them, it is necessary to link the human resource practices with knowledge management. Therefore, this study was conducted on employees of banking, education, IT, healthcare and telecommunication to analyse the impact of HR practices on knowledge management (knowledge acquisition, sharing, interpretation and storage). The data was collected using a structured questionnaire. The data was analysed using SPSS and AMOS by applying correlation and regression analysis. The results of the study established the relationship between HR practices and knowledge management through a significant regression model. Thus, human resource practices have a significant and positive impact on knowledge management.","PeriodicalId":259978,"journal":{"name":"2021 9th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125890665","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":"Impact Analysis of Sink Mobility on Fault Tolerance and Delay in Wireless Body Area Networks (WBANs)","authors":"Sunny Singh, D. Prasad","doi":"10.1109/icrito51393.2021.9596241","DOIUrl":"https://doi.org/10.1109/icrito51393.2021.9596241","url":null,"abstract":"Wireless Body Area Networks (WBANs) has become an integral part of the Internet of Things (IoT) era thereby. Due to the movements of the human body, the properties of WBAN radio propagation are dynamic and therefore the entire process of communication between nodes and sink develops a big challenge. Nodes existing near to the static sink are always seemed to be busy in data transmission due to which node exhausts its energy much before than the nodes existing away from the sink. Sink mobility serves the above-mentioned challenge. To evaluate the performance of WBAN we have presented two mobility models i.e., i) Random Waypoint Mobility Models (RWM) and ii) Random Direction Mobility Models (RDM) with static and movable sink and Network Simulator 2.35 is used for simulation of the models. The Models are evaluated on the following parameters; Packet Delivery Ratio, Average End-to-End delay, overall Energy consumption, Average Throughput.","PeriodicalId":259978,"journal":{"name":"2021 9th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)","volume":"145 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128220462","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}
D. Bhalerao, Dhiraj Bagul, Nikhil Kesapure, Deven Bharati, Rupa Hiremath, Nabin Thakur, S. Barve
{"title":"Design and Development of Gamification Tool for Teenagers for Selection of Higher Education Path Based on Personality Traits","authors":"D. Bhalerao, Dhiraj Bagul, Nikhil Kesapure, Deven Bharati, Rupa Hiremath, Nabin Thakur, S. Barve","doi":"10.1109/icrito51393.2021.9596332","DOIUrl":"https://doi.org/10.1109/icrito51393.2021.9596332","url":null,"abstract":"Gamification is used as a powerful way to connect and engage player in an effective and enjoyable funny mood. The current research work demonstrates how gamification is designed and developed in an innovative way to find out different personality traits of the teenagers and recommends the possible career choices available for them based on their personality traits connecting it to the requirements of different professional careers. OCEAN model is used to find out different personalities and gamification concepts like design, elements and storytelling are used to develop gamified system.","PeriodicalId":259978,"journal":{"name":"2021 9th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128587800","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}
Kazi Fazila Tasneem, Gurasis Singh, Piyal Ahmed, S. Halder, Sujan Ganguly, Shivendra Pratap Soni, Manik Rakhra
{"title":"Affordable black box: A Smart Accident Detection System for cars","authors":"Kazi Fazila Tasneem, Gurasis Singh, Piyal Ahmed, S. Halder, Sujan Ganguly, Shivendra Pratap Soni, Manik Rakhra","doi":"10.1109/icrito51393.2021.9596106","DOIUrl":"https://doi.org/10.1109/icrito51393.2021.9596106","url":null,"abstract":"This proposed work is to review and inspect for existing innovative Black Box for vehicle ideas. This review paper will review these ideas dividing by their specification, size and compatibility. All the reviews of researchers done recently will be discussed here broadly. The techniques mostly used for black box previously were EDR (Event Data Recorder) and ADR (Accident Data Recorder). After more researches, more techniques were added with GPS (Global Positioning System) and GNSS (Global Navigation Satellite System), SMS (Short Message Service) system, Arduino controller, RPI (Raspberry Pi Controller), GSM (Global System for Mobile Communications) and many more. These techniques are used to detect the location of the vehicles; if accident occurs it will detect the cause and keep the records how it occurs, it will also send the exact location to the nearest hospitals or police stations to deduce deaths and save more lives. Most of them can be used in any form of vehicles. After reading this paper, the reader can understand about the protocols, protocols, prototypes, methods and techniques used till now for a black box to prevent accidents and also prevent deaths occurred by accidents","PeriodicalId":259978,"journal":{"name":"2021 9th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128634008","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":"Driver Drowsiness Detection Using Machine Learning and Image Processing","authors":"Shreyans Mittal, Shubham Gupta, Sagar, Apoorv Shamma, I. Sahni, Narina Thakur","doi":"10.1109/icrito51393.2021.9596358","DOIUrl":"https://doi.org/10.1109/icrito51393.2021.9596358","url":null,"abstract":"The number of automobile accidents due to driver drowsiness is increasing at an alarming rate. An automated non-contact system that can identify driver drowsiness early is the need of the hour. Motivated by this alarming need, a novel method is proposed that can detect driver drowsiness at an early stage and avoid mishaps. After the preprocessing of data using various features like Mouth Aspect Ratio, Eye Aspect Ratio, Pupil Circularity and Mouth Over Eye Ratio, the classification is done as comparative analysis of K-Nearest Neighbour, Naïve Bayes, Logistic Regression, Decision Trees, Random Forest, XGBoost, MLP and CNN on the University of Texas at Arlington Real-Life Drowsiness Dataset (UTA-RLDD) with different labels and thus we are able to detect the drowsiness. The accuracy was evaluated, and Logistic Regression provides the best accuracy in detecting drowsiness based on the dataset and was able to achieve 75.67% accuracy for 9080 samples.","PeriodicalId":259978,"journal":{"name":"2021 9th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127442007","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":"Image Data Augmentation techniques for Deep Learning -A Mirror Review","authors":"Dipen Saini, R. Malik","doi":"10.1109/icrito51393.2021.9596262","DOIUrl":"https://doi.org/10.1109/icrito51393.2021.9596262","url":null,"abstract":"Making a computer understand the images is the task of computer vision. However, to familiarize it and learn to analyze what the computer is able to perceive is a tedious task. To address this challenge, Convolutional Neural Networks using deep learning frameworks could be performed and our goal could be achieved. For enhancing this task and making a computer learn more accurately and precisely about the variations in the real-world images, augmentation is an excellent way for making it possible. In this paper different types of normal augmentations, using deep learning methods for augmentation and other important works on this technique are discussed. This paper tries to cover the critical features of the augmentation, which will thus not only aid the new researchers but also other experienced researchers to interpret the latest trends going on in this technology, this would enable us to work together to make the computers learn more meticulously by utilizing various deep learning models that are trained on the images, making them more efficient and robust.","PeriodicalId":259978,"journal":{"name":"2021 9th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)","volume":"2010 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127341200","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":"Escalation of Request in Travel and Hospitality using Automation","authors":"Diksha, Jasminder Kaur Sandhu","doi":"10.1109/icrito51393.2021.9596367","DOIUrl":"https://doi.org/10.1109/icrito51393.2021.9596367","url":null,"abstract":"This paper present a framework and implementation of automating the escalation and prioritizing system to handle the request and solve them based on their priority. This paper use the Microsoft office 365 tools to design and implement the system. This paperdiscuss the unattended robotic process automation in achieving the email ingestion, triggering actions for performing the fetching and extracting the value. Power automate is a tool used to perform the desired task for escalating and checking the priority of a given request. Based on the prioritization rules the SharePoint list get updated for a particular booking number or new ticket get created.","PeriodicalId":259978,"journal":{"name":"2021 9th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127370349","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":"A Framework on Cognitive-Based Green Communication Technology to Reduce the Emission of CO2 in the System","authors":"Preeti Verma, Sanmukh Kaur","doi":"10.1109/icrito51393.2021.9596416","DOIUrl":"https://doi.org/10.1109/icrito51393.2021.9596416","url":null,"abstract":"Over the most recent couple of years due to the exponential expansion of the portable media transmission industry, the look and simulation for a framework supported cognitive-based inexperienced communication technology to scale back the emission of carbonic acid gas within the system has been needed. This work is completed to decrease the inexperienced house gas effects as these gasses are seriously harmful for the setting as they cause warming associated so making an unbalance in nature.","PeriodicalId":259978,"journal":{"name":"2021 9th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129941543","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}