Sanjeeva Polepaka, R. R. Ram Kumar, S. D. Nandakumar, R. Sureshkumar, V. Vivekanandhan
{"title":"An Insight on IoT Architecture and its Applications","authors":"Sanjeeva Polepaka, R. R. Ram Kumar, S. D. Nandakumar, R. Sureshkumar, V. Vivekanandhan","doi":"10.1109/ICCCI56745.2023.10128574","DOIUrl":"https://doi.org/10.1109/ICCCI56745.2023.10128574","url":null,"abstract":"The term “Internet of Things” (IoT) refers to connecting things or objects physically to the Internet with intelligence. In the past decades, people were connected to Internet; whereas in the trending digital era, object or things are connected to Internet for better communication and ease of use. The exchange of information leads to the innovative access to physical world, thereby transforming into digital world. The paper focuses on importance of IoT features and state-of-the-art applications through IT. The generic data flow in IoT is discussed. The major areas of IoT applications are not limited to the following: smart have, smart wears, smart grids, Industrial IoT(IIoT), smart city, smart retails, smart health care, smart farming, smart supply chain management, smart connected vehicles and things.","PeriodicalId":205683,"journal":{"name":"2023 International Conference on Computer Communication and Informatics (ICCCI)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115287855","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":"Big Data – Enhancement in Sports : Exploring the Impact of Technology Integration","authors":"S. Venugopal","doi":"10.1109/ICCCI56745.2023.10128427","DOIUrl":"https://doi.org/10.1109/ICCCI56745.2023.10128427","url":null,"abstract":"There are fewer technologies available that aid in player development, the usage of technologies to enhance athletic performance has expanded. The adoption of technology may aid in players’ expansion. The current technology has been used in various fields, including health and wellness, psychosocial concerns, and transitional skills. The paper aids in study of technology influence players’ capacity for athletic competition. Sports is the best methods to gauge someone’s athletic prowess, but technology can still be useful. Where technology can flourish people may fall short in administering and officiating sports, technology can succeed. It is possible to determine a player’s effectiveness and consistency over the course of the season by using this information. This can lead to predictive modelling, which gives analysts the ability to judge if a player is a one-season wonder or whether their performance is becoming better over time. Strategizing is a crucial part of any activity, team or individual sport included. Professional athletes and teams must employ these strategies in order to compete and out perform their rivals. Modern coaches use big data sets to create efficient procedures that will help both individual athletes and the team as a whole. Data science gives coaches the ability to create highly individualised athlete matches and other game plans for each game the team plays, especially for professional teams. In this way, the team’s tactics will continue to be unpredictable effective. Bigdata is used effectively in sports and this technology integration is used to achieve more in this field.","PeriodicalId":205683,"journal":{"name":"2023 International Conference on Computer Communication and Informatics (ICCCI)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123103013","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":"Restaurant Recommender System Based On Sentiment Analysis","authors":"N. Shirisha, T. Bhaskar, A. Kiran, K. Alankruthi","doi":"10.1109/ICCCI56745.2023.10128234","DOIUrl":"https://doi.org/10.1109/ICCCI56745.2023.10128234","url":null,"abstract":"Sentiment analysis is used to design a recommender system many different sectors, including all the restaurant and food sectors. The majority of these recommenders, however, rely on fixed information like cuisine, price, and service quality. By determining the users’ dietary preferences and examining their choices, these systems produce customised recommendations. The usage of a scenario suggestion system is advised since it may identify people’s meal preferences based on their comments and propose restaurants that cater to those preferences. Food names are gathered and categorised using user comments to evaluate user sentiment. The constancy of the choices suggests a nearby restaurant that really is open for business. A data collection contains different user reviews. The platform’s precision, recalls, and f-measure are evaluated using three alternative scenarios top-1, top-3, and top-5. With such a 92.8% precision rate, the proposed technique is expected to provide users with exceptionally accurate recommendations. In proposed project we are including more features like the waiting time, main course, reachability, and deserts. We considered data on restaurants and over 2990 reviews on these restaurants as a dataset and we will be generating the data plot using LSTM and GRU algorithms.","PeriodicalId":205683,"journal":{"name":"2023 International Conference on Computer Communication and Informatics (ICCCI)","volume":"111 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121816759","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}
N. Shanthi, M. Muthuraja, C. Sharmila, S. Jagadeesh, R. Karthick, M. Bharanidharan
{"title":"Suicidal Ideation Prediction Using Machine Learning","authors":"N. Shanthi, M. Muthuraja, C. Sharmila, S. Jagadeesh, R. Karthick, M. Bharanidharan","doi":"10.1109/ICCCI56745.2023.10128254","DOIUrl":"https://doi.org/10.1109/ICCCI56745.2023.10128254","url":null,"abstract":"In the present world, accidents and health {complications account for the majority of fatalities. The majority of deaths after accidents are caused by suicide due to depression and natural catastrophes. The widespread use of the Internet has given people a new means of communicating their feelings. It is also a platform with a massive amount of content where users may read other users’ opinions, which are divided into several sentiment groups and are becoming more and more important in decision-making process. This paper contributes to the classification that is useful to examine the data in the form of the quantity of tweets where comments are extremely unstructured and either negative or positive or somewhere in between these two. To do this, we first pre-processed the data, then extracted the adjectives with meaning from the tweet, and last utilised machine learning-base classification methods, specifically. When compared to the current system, the accuracy of the TFIDF, N-gram, and LinearSVC algorithms for suicide prediction with tweets including suicidal thoughts was improved to 95 percent. Such testing and observation may help in both individual and population-wide prevention. By establishing a baseline for suicide identification on online social networks, such as Twitter, the experimental work suggests the viability of the approach adopted. In the end, we evaluated the classifier’s performance in terms of accuracy.","PeriodicalId":205683,"journal":{"name":"2023 International Conference on Computer Communication and Informatics (ICCCI)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116799526","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":"Event Data Recorder And Transmitter For Vehicular Mishap Analysis Based On Sensor","authors":"Kumar.P Shiva, S. Murugaanandam","doi":"10.1109/ICCCI56745.2023.10128628","DOIUrl":"https://doi.org/10.1109/ICCCI56745.2023.10128628","url":null,"abstract":"Communication technology advancements have a profound impact on the automotive sector. On-Board Diagnostics (OBD) devices are standard in many modern passenger vehicles and are available for retrofitting in others. A connected car is one that is equipped with several sensors and can relay vehicle data to improve user convenience, safety, and fuel economy. The Internet of Things (IoT) has the ability to analyse the vast amounts of driving data generated in real time by sensors in connected vehicles in order to provide useful inference or advice to drivers (IoT). The availability of such a wealth of data inspired the creation of a data-supported solution to promote cost-effective and riskfree vehicular transportation.","PeriodicalId":205683,"journal":{"name":"2023 International Conference on Computer Communication and Informatics (ICCCI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125899768","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. Kiran, I. J. Kumar, P. Vijayakarthik, S. Naik, T. Vinod
{"title":"Intelligent Chat Bots: An AI Based Chat Bot For Better Banking Applications","authors":"A. Kiran, I. J. Kumar, P. Vijayakarthik, S. Naik, T. Vinod","doi":"10.1109/ICCCI56745.2023.10128582","DOIUrl":"https://doi.org/10.1109/ICCCI56745.2023.10128582","url":null,"abstract":"A text-based and audio-based chat and voice assistant for a banking application that is powered by artificial intelligence and does conversions that are designed to resemble human conversations. Chat and voice assistants have come a long way from their humble beginnings, with advances in machine learning and natural language processing enabling them to learn from their interactions and hold conversations in a human-like manner. Becoming more human can help with calculating loan interests and checking transaction details and savings, among other things. Chat and voice assistants have come a long way from their humble beginnings. Conversational banking is an improved method for retaining loyal customers because it enables the bank to respond more quickly to the customers’ inquiries. The Stone Age was followed by the Bronze Age, and now we are in the Digital Age thanks to the advancement of technology. When it comes to customer behaviour, the transition from being a service seeker to a game-changer is happening at a very rapid rate. Those days are long gone when a company could still get away with putting the requirements of their customers lower on their priority list. Since the customer is now the person who ultimately decides whether a company will succeed or fail, it has become the top goal of any company to make certain that the needs and desires of the customer are met to the greatest possible extent.","PeriodicalId":205683,"journal":{"name":"2023 International Conference on Computer Communication and Informatics (ICCCI)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123320245","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}
V. Pooja, K. Vijay, V. Raghavi, B. Bhuvaneswaran, Eashaan Manohar
{"title":"Electronic Health Records & Data Management using Hyperledger fabric in Blockchain","authors":"V. Pooja, K. Vijay, V. Raghavi, B. Bhuvaneswaran, Eashaan Manohar","doi":"10.1109/iccci56745.2023.10128294","DOIUrl":"https://doi.org/10.1109/iccci56745.2023.10128294","url":null,"abstract":"Permissioned blockchain networks ensure safety and reliability by employing blockchain’s fundamental tenets, including the distributed ledger, smart contracts, and consensus. There is a potential for data privacy violations in the existing condition of patient data interchange across healthcare organizations if there is a lack of mutual trust. The introduction of blockchain technology has made it possible for healthcare providers to confidently share patient medical records. To ensure the safe and reliable transfer of patient information, a permission blockchain network built on the Hyperledger Fabric framework is proposed and implemented between patents and medical institutions. Blockchain’s effective management of EHRs is made possible by a Hyper Ledger Fabric network. Results from live deployments demonstrate that inaccuracies in data sharing between healthcare providers (such as hospitals, clinics, and public health agencies) are eliminated by using a blockchain based on the Hyperledger fabric. The accessibility of the network allows for the prompt, secure, and legally compliant transfer of patient information across organizations. By using smart contracts as chain code, the blockchain has enabled transparent and secure data exchanges while controlling access to private patient health information. Results indicate Hyper Ledger Fabric provides excellent functionality, security, and transaction privacy.","PeriodicalId":205683,"journal":{"name":"2023 International Conference on Computer Communication and Informatics (ICCCI)","volume":"85 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123580491","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":"101 sequence detector using QCA technology","authors":"Ritwik Mishra, Braj Kishan Singh, Himanshu Singh, V.K. Sharma","doi":"10.1109/ICCCI56745.2023.10128312","DOIUrl":"https://doi.org/10.1109/ICCCI56745.2023.10128312","url":null,"abstract":"This paper mainly focuses on the implementation of finite state machine (FSM) using a novel Quantum-dot Cellular Automata (QCA) technology. More specifically, authors have designed a 101 sequence detector, which recognizes the pattern 101 as input and sets the output flag after receiving 101 sequences. This is the first attempt when a FSM is designed using this new robust technology and authors didn’t get any previous work on this topic. The whole analysis and designing of this topic is done in QCA Designer. First, the analysis of 101 FSM is done that concludes its state tables and state diagrams and ultimately come up with state equations. The next task is to implement the FSM’s equations in QCA technology. To implement the equations, majority gates, inverters, and D flip-flops are needed. Authors have used QCA designer-E software for the implementation of circuits and the calculation of energy simulation results.","PeriodicalId":205683,"journal":{"name":"2023 International Conference on Computer Communication and Informatics (ICCCI)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126939692","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}
G. Gokulkumari, M. Ravichand, Pooja Nagpal, Renu Vij
{"title":"Analyze the political preference of a common man by using data mining and machine learning","authors":"G. Gokulkumari, M. Ravichand, Pooja Nagpal, Renu Vij","doi":"10.1109/ICCCI56745.2023.10128472","DOIUrl":"https://doi.org/10.1109/ICCCI56745.2023.10128472","url":null,"abstract":"Using learning algorithms and game theory, provide a procedure for estimating the likely political leanings of a given voting population. A combination of online and in-person polling was the first step in our strategy. With voters’ preferences for political candidates expressed via a linear hierarchy of qualities, a zero-sum game strategy may divide the total number of votes fairly. In a case study of the Major’s election in our city, which took place in September 2020, we put our approach to work for electoral prospection. The findings were quite promising. I suggest using this method in marketing campaigns for genuine products.","PeriodicalId":205683,"journal":{"name":"2023 International Conference on Computer Communication and Informatics (ICCCI)","volume":"418 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116044277","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}
M. Sangeetha, A. Sumithra, R. Sneha, M. Suganya Devi, J. Vishnu Nivasini
{"title":"Agroculture Web Application","authors":"M. Sangeetha, A. Sumithra, R. Sneha, M. Suganya Devi, J. Vishnu Nivasini","doi":"10.1109/ICCCI56745.2023.10128512","DOIUrl":"https://doi.org/10.1109/ICCCI56745.2023.10128512","url":null,"abstract":"Agriculture is the backbone of our country. Mostly 60-70% of people in India depends either directly or indirectly on Agriculture for food for their own living. As India is also an agriculture dependent country, it is the major platform for India’s development. Even though, Agriculture is the main occupation of India farmers have both advantages and disadvantages too. Farmers usually invest most of their money on agriculture. But they were not correctly rewarded to their hard work. They only get less amount of money compared to the money they invested on it. Ssome farmers who were new to agriculture may also don’t know much about agriculture like which pesticides need to be used on certain crops, how many times the crops should be irrigated per month, how many months it will take for cultivation or maybe how it should be cultivated. So, the vital idea of our project is to create an web application which will help the farmers to solve these problems for selling their goods as it is a trust-worthy and beneficial way for farmers. It would be profitable for both the buyer’s side and the seller’s side.","PeriodicalId":205683,"journal":{"name":"2023 International Conference on Computer Communication and Informatics (ICCCI)","volume":"97 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116440225","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}