Vakkalagadda Aishwarya, SaiVishal Pediredla, Batchu Radhika, Bhumula Vasanthi, K. Padmanaban, A. Velmurugan
{"title":"Incorporating of Security Methods into the Software Development Lifecycle Process (SDLC)","authors":"Vakkalagadda Aishwarya, SaiVishal Pediredla, Batchu Radhika, Bhumula Vasanthi, K. Padmanaban, A. Velmurugan","doi":"10.1109/ICCCI56745.2023.10128620","DOIUrl":"https://doi.org/10.1109/ICCCI56745.2023.10128620","url":null,"abstract":"As software usage increases and updates, Software development requires several essential elements, including industry security. As vulnerabilities are exploited, we’ve witnessed an upsurge in the demand for securities. There are many various reasons why security is not effectively maintained in software development processes, thuswe have seen some approaches like traditional security, CllCD, and robust security to make sure security is implemented right from the start rather than after process development. The various tools in this study were used to discuss various security implementation methods, and this discussion may be useful for examining various software","PeriodicalId":205683,"journal":{"name":"2023 International Conference on Computer Communication and Informatics (ICCCI)","volume":"38 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":"116315418","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}
R. Devi, P. Keerthika, P. Suresh, M. Sangeetha, C. Sagana, S. Savitha, K. Devendran, B. Nithiesh
{"title":"Twitter Sentiment Analysis using Collaborative Multi Layer Perceptron(MLP) Classifier","authors":"R. Devi, P. Keerthika, P. Suresh, M. Sangeetha, C. Sagana, S. Savitha, K. Devendran, B. Nithiesh","doi":"10.1109/ICCCI56745.2023.10128430","DOIUrl":"https://doi.org/10.1109/ICCCI56745.2023.10128430","url":null,"abstract":"In the last decade, Twitter is facing a major challenge in identifying the sentiments of the tweets. These tweets are useful in understanding the opinion of different end users about a variety of topics. Sentiment Analysis is more important to analyse the text data in the dataset. But the tweets consist of non-useful characters which make sentiment analysis difficult. With multi-layer perceptron classifier, classification for new tweets as either positive or negative is done. This can be done by using a range of features like tokenisation, lemmatisation, stemming on the words used in the tweets, the sentiment of the words, and the user’s profile. Feature extraction is made to clean the words/phrases containing non-useful characters like URL, Numeric alphabets, punctuations etc. It improves the accuracy for the large amount of data with high efficiency.","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":"116498643","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}
Talada Siva Sree, M. Srinivas, Kakaraparthi Jyothi Swaroop, Bodapati Shiva Venkata Sai Pavan, Palleda Abhishek
{"title":"An Autonomous Crop-Cutting Mechanism Using A Drone","authors":"Talada Siva Sree, M. Srinivas, Kakaraparthi Jyothi Swaroop, Bodapati Shiva Venkata Sai Pavan, Palleda Abhishek","doi":"10.1109/ICCCI56745.2023.10128584","DOIUrl":"https://doi.org/10.1109/ICCCI56745.2023.10128584","url":null,"abstract":"various reasons are reducing the number of farmers and workers in Asia, which negatively impacts the region’s economy. It has resulted in rising labor prices, increased energy use for harvesting inputs, and decreased resource usage. Researchers are working to find effective, low-cost, and easy-to-use answers to these issues through the mechanization and automation of agriculture. An autonomous tractor that can follow a specified route with harvesting equipment is built. The primary goal of this study is to examine the autonomous tractor, which incorporates several approaches throughout its design and construction and is navigated with drone coordinates. Here, a hexacopter drone is used to survey the field and relay that information to the autonomous tractor, using the data from the various sensors mounted on the vehicle to guide it around the area.","PeriodicalId":205683,"journal":{"name":"2023 International Conference on Computer Communication and Informatics (ICCCI)","volume":"30 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113978835","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":"Convolutional Neural Network For Multiclass Skin Cancer Image Classification","authors":"J. Ramya, H. Vijaylakshmi, H. Saifuddin","doi":"10.1109/ICCCI56745.2023.10128594","DOIUrl":"https://doi.org/10.1109/ICCCI56745.2023.10128594","url":null,"abstract":"Skin cancer is the most dangerous, having one-third diagnosed rate in worldwide. It is supposed to spread vastly to other body parts when it is not detected at beginning stage. Skin cancer diagnosing system contains three major steps such as segmentation, feature extraction and classification. Firstly, images are pre-processed using 2D median filter to remove some artifacts like thin hair, gel, air bubble etc. followed by segmentation using discrete wavelet transform to extract lesion region from background skin region is described in our last paper. In this paper, we have passed previously segmented images to Convolutional Neural Network (CNN) for feature learning and classification. Experimentation conducted on three classes of PH2 dataset, classification results are satisfactory and accurate.","PeriodicalId":205683,"journal":{"name":"2023 International Conference on Computer Communication and Informatics (ICCCI)","volume":"9 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":"114015928","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":"An Overview on Development & Prospects of Geothermal Power Plant in India","authors":"Namra Joshi, Achala Khandelwal","doi":"10.1109/ICCCI56745.2023.10128332","DOIUrl":"https://doi.org/10.1109/ICCCI56745.2023.10128332","url":null,"abstract":"With the increase in power demand, India is moving from conventional power generating sources to non-conventional sources. The steady progress of economy and dearth of energy has led the focus towards the geothermal energy. Geothermal energy is a convenient medium of power generation having excellent potential in some regions of India. As per Geological Survey of India, around 340 sites are identified to have geothermal potential. This article delivers a general framework on geothermal power and highlights the fundamentals of geothermal power plants and their Indian Scenario.","PeriodicalId":205683,"journal":{"name":"2023 International Conference on Computer Communication and Informatics (ICCCI)","volume":"32 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":"128096554","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}
K. Chitra, T. Kalpana, M. Hemalatha, S. Hari Vishnu, K. Kishore, S. Manoj
{"title":"Automatic Egg Incubator Using IoT","authors":"K. Chitra, T. Kalpana, M. Hemalatha, S. Hari Vishnu, K. Kishore, S. Manoj","doi":"10.1109/ICCCI56745.2023.10128323","DOIUrl":"https://doi.org/10.1109/ICCCI56745.2023.10128323","url":null,"abstract":"With the use of a square box, an egg incubator preserves the embryo's heat at a low degree and at the proper moisture to simulate the process of incubation. A well has invented an improved egg incubator device that produces outstanding hatchability and can hatch a large number of hens at once. This incubator system, which uses an Arduino microcontroller, has automatic temperature, humidity, and egg-reversing capabilities. Farmers can use the GSM system to remotely monitor the intelligent incubator. With a hatch rate of 90.55%, a defect hatch rate of 0.41%, a batch hatch rate of 84%, and an egg hatch rate of 10.20% per batch of 50 eggs, the innovative incubator for embryos can be utilized to birth the hens in its own place and it will produce better outcomes. Egg development is the primary concern in agricultural areas.","PeriodicalId":205683,"journal":{"name":"2023 International Conference on Computer Communication and Informatics (ICCCI)","volume":"6 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":"128134243","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":"Scaling Blockchain Systems using DAG","authors":"Parth Dhawan, Arjav Rastogi, D. Santhiya","doi":"10.1109/ICCCI56745.2023.10128341","DOIUrl":"https://doi.org/10.1109/ICCCI56745.2023.10128341","url":null,"abstract":"Directed acyclic graphs are used for one primary reason: they make it easier to build several blocks at once. The number of forks in a blockchain naturally grows as the rate at which blocks are generated increases. As a consequence of this observation, several experts have come to the opinion that organising the resulting directed acyclic network is the most effective way to solve the scalability issue that plagues Bitcoin and other similar cryptocurrencies. A significant difficulty for this system arises from the fact that blocks created concurrently or in close proximity may contain similar or conflicting transactions, all of which must be handled and organised in linear order. The idea of using several blockchains, each of which processes transactions independently based on the Sender's address, is presented as a possible alternative method. Consensus algorithms continue to be the limiting factor in the size of a blockchain network and the speed with which data can be published, despite the advancements in blockchain technology and the advent of new use cases. Despite blockchain's ability to accommodate a greater variety of data, this remains the case. Immediate action is required to address the critical problem of how to boost alliance blockchain performance in a secure and efficient manner.","PeriodicalId":205683,"journal":{"name":"2023 International Conference on Computer Communication and Informatics (ICCCI)","volume":"16 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":"125992911","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. Kalaiarasi, L. Raja, S. Velmurugan, G. Shanthi, R. Ariharan, N. Kumareshan
{"title":"Traffic Assistance and Control System- An RFID Approach","authors":"A. Kalaiarasi, L. Raja, S. Velmurugan, G. Shanthi, R. Ariharan, N. Kumareshan","doi":"10.1109/ICCCI56745.2023.10128614","DOIUrl":"https://doi.org/10.1109/ICCCI56745.2023.10128614","url":null,"abstract":"All intelligent objects are connected through a worldwide network called the Internet of Things (IoT).. It serves as the conduit via which all things can communicate with one another. The term Internet of vehicles is used when those intelligent items are limited to solely connected vehicles. It uses an electronic-based traffic violation monitoring setup rather than assigning a specific officer to keep an eye on traffic violations. This is a mechanism for electronically filing complaints and collecting fee It uses RFID technology to allow for the direct debiting of fees and complaint booking from the associated prepaid account. This clever technique assists the government and the populace in preventing traffic signal violations and punishing the defaulters. Because of this system, citizens are more likely to be motivated to obey traffic light laws, and the government finds it simpler to automatically monitor and manage the system. The Internet of Vehicles (IoV), which is built on an intelligent traffic management system, has high interoperability, is simple to upgrade, and can replace current traffic control systems. The proposed system’s low cost can greatly enhance traffic signal monitoring and control. The Internet of Vehicles uses a network of wireless sensors, detection technologies, and the internet to autonomously track, manage, monitor, and process traffic objects. The proposed system’s fundamental features take care to simplify living.","PeriodicalId":205683,"journal":{"name":"2023 International Conference on Computer Communication and Informatics (ICCCI)","volume":"28 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":"121616258","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}
Marella Naga Chaitanya Sneha, Battula Greeshma, Valini Sunthwal, T. V. Manikanta, Praveen Tumuluru, K. B. Brahma Rao
{"title":"An Enhanced Yolo Based Traffic Analysis System","authors":"Marella Naga Chaitanya Sneha, Battula Greeshma, Valini Sunthwal, T. V. Manikanta, Praveen Tumuluru, K. B. Brahma Rao","doi":"10.1109/ICCCI56745.2023.10128424","DOIUrl":"https://doi.org/10.1109/ICCCI56745.2023.10128424","url":null,"abstract":"As the number of automobiles on the road rises daily, population increases so traffic is the main problem faced by the people in our society. Traffic analysis is a task that helps the user to avoid route that are going to pack with traffic jam in cities. Most of the cities suffer from traffic jams so implementing a tools that helps to predict the traffic jam and take less time to reach their destination To control this traffic problem many are implementing various machine learning algorithms which are very effective in controlling the flow of traffic in various places some algorithms like SVM (Support Vector Machine), and other CNN (Convolutional Neural Networks), LSTM, XGBOOST, YOLO (You Only Look Once), RCNN, RNN, SSD Machine Learning Algorithms etc. It can increase traffic operation effectively, cut carbon emission, ease traffic congestion, and aid road users in making smarter travel selection.","PeriodicalId":205683,"journal":{"name":"2023 International Conference on Computer Communication and Informatics (ICCCI)","volume":"260 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":"115885143","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":"Web Information Retrieval using Vector Space Model and Docu-Tally Metric","authors":"Nitish Chaturvedi, Eshanika Ray, K. Meenakshi","doi":"10.1109/ICCCI56745.2023.10128258","DOIUrl":"https://doi.org/10.1109/ICCCI56745.2023.10128258","url":null,"abstract":"Regardless of the type of data set, it is frequently challenging to sift through the vast amount of data that is available on the Internet as a result of technological improvements. To deal with challenges mentioned above, we have come up with a ranking approach which is computed using NLP and vector space model. The approaches used for information retrieval start with a basic machine learning model and progress to multi-stage architectures and frameworks like language modelling and term matching. The main goal of this work is to use a standard retrieval process to glean insights from large amounts of data, which is the problem we are aiming to solve. The method utilised in the study is latent semantic analysis, which takes advantage of the semantic aspects at play and can be used to glean insights from lengthy texts.","PeriodicalId":205683,"journal":{"name":"2023 International Conference on Computer Communication and Informatics (ICCCI)","volume":"148 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":"131930325","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}