Annie Silviya S H, Lakshmi Prabha T S, Sunitha T, S. B, Sarran Kumar N K, Subin S S
{"title":"A Secure and Efficient Blockchain-based Multi-Cloud Medical File Sharing","authors":"Annie Silviya S H, Lakshmi Prabha T S, Sunitha T, S. B, Sarran Kumar N K, Subin S S","doi":"10.1109/ACCAI58221.2023.10200223","DOIUrl":"https://doi.org/10.1109/ACCAI58221.2023.10200223","url":null,"abstract":"The blockchain-powered scheme for sharing medical files in a practical manner decentralized quality-based encryption is a secure and efficient approach for sharing sensitive medical information among healthcare providers. The system utilizes blockchain technology to store and handle the framework for restricting entry to specific areas and permissions for medical files, providing a tamper-proof and transparent mechanism for managing access to the data. Additionally, the use of decentralized attributes- based encryption ensures that patient data remains confidential and only accessible to those with the appropriate permissions. The scheme enables data owners to define granular access control policies based on specific attributes such as the type of data, patient information, and the role of the requesting party, enabling better collaboration and decision-making while ensuring data privacy and confidentiality.","PeriodicalId":382104,"journal":{"name":"2023 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131365168","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}
Sheryl B. Robinson, Sindu Divakaran, A. M. Kumar, J. Premkumar, Bethanney Janney, P. Grace, Kanmani Prince
{"title":"Intelligent Mattress for Monitoring and Therapeutic Relief from Bedsores","authors":"Sheryl B. Robinson, Sindu Divakaran, A. M. Kumar, J. Premkumar, Bethanney Janney, P. Grace, Kanmani Prince","doi":"10.1109/ACCAI58221.2023.10199295","DOIUrl":"https://doi.org/10.1109/ACCAI58221.2023.10199295","url":null,"abstract":"One of the most common risks for individuals who are bedridden is the development of bedsores (Pressure Ulcers). The number of senior individuals who are permanently disabled and semi-impaired is growing as the population ages. A pressure ulcer or bedsores is a damage to tissue that has been disturbed or lacks blood flow as a result of prolonged pressure and shear forces, and it can give the patient pain and discomfort. The conventional methods used to relieve bed sores tend to focus on the pressure distribution and very minimal focus is provided for therapy. In our proposed methodology, parameters like pressure, sweat and temperature of the patient will be monitored continuously and after a certain amount of time has passed, a message will be sent to an app installed on the caretaker’s phone which informs them to change the current position of the patient. In addition to this, a cooling system will be installed to bring down the temperature as well as to prevent the further worsening of the ulcer. This system will be automatically triggered when the temperature exceeds a certain threshold value. If the temperature and sweat level exceeds the set value the buzzer will sound accordingly. A vibration massage system will be incorporated to increase the blood circulation at the localized region which would be turned ON and OFF by the caretaker with the help of the app. Finally, an emergency button will be provided as a means of assistance to patient with minimal movement to alert their caretakers if they require further assistance.","PeriodicalId":382104,"journal":{"name":"2023 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134309309","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. Sravanthi, Dr. Bhaludra R Nadh Singh, Ms. Badalgama Sandhya Rani, Ms. ChandaSharanya, Ms. Vulupala, Sri Varsha
{"title":"Forecast Plant life using Artificial Intelligence","authors":"M. Sravanthi, Dr. Bhaludra R Nadh Singh, Ms. Badalgama Sandhya Rani, Ms. ChandaSharanya, Ms. Vulupala, Sri Varsha","doi":"10.1109/ACCAI58221.2023.10199519","DOIUrl":"https://doi.org/10.1109/ACCAI58221.2023.10199519","url":null,"abstract":"India is primarily an agricultural economy, hence accurate diagnosis of plant diseases is crucial to minimizing economic losses. Spending millions of rupees every year to safeguard crops from a wide range of diseases is only possible because of the outdated methods of plant disease diagnosis. Human detection of plant disease is imperfect at best. There is no guarantee of an accurate outcome, even with the help of experts in plant diseases, the time, effort, and knowledge required to diagnose the precise illness. Machine learning and image processing are two such technologies that have proven effective in this regard. By analysing plant photos captured by cameras, we show how machine learning may be applied to a specific issue in plant disease diagnosis.","PeriodicalId":382104,"journal":{"name":"2023 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI)","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130871230","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":"Robotic Arm Based Display Touch Test Automation","authors":"Avadhut Mali, Gurmeet Singh, H.P.S. Gill","doi":"10.1109/ACCAI58221.2023.10201044","DOIUrl":"https://doi.org/10.1109/ACCAI58221.2023.10201044","url":null,"abstract":"In situations where we must communicate with machines, an HMI in physical form is necessary. In the modern world, touch screen displays are used to efficiently utilize the available area and to optimize the display size. Similar principles are currently being used in the automotive sector. Before a product is released, engineers must guarantee its dependability of operation in real life. A well-established set of automated hardware and software testing methods are available during the R&D phase, but some tests such as the touch test with the display is still done manually which is time-consuming. This paper's goal is to propose a novel idea for automated software testing that simulates touches with a robotic arm to assess the software's accuracy, precision, and dependability in identifying touch locations. Test cases will be run and monitored in accordance with the specifications. At the end, a report with relevant statistics on the total number of touches, accuracy, timestamp, overall error percentage will be generated. This study provides a conceptual approach for accomplishing the test automation task.","PeriodicalId":382104,"journal":{"name":"2023 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI)","volume":"255 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132894088","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 Extended Agglomerative Hierarchical Clustering Techniques","authors":"Maravarman M, Babu S, Pitchai R","doi":"10.1109/ACCAI58221.2023.10200398","DOIUrl":"https://doi.org/10.1109/ACCAI58221.2023.10200398","url":null,"abstract":"Clustering is a significant method of data analytics in real world environments since human labelling of the data is often costly. Clustering was developed as an alternative to manual tagging. In the field of data analytics, hierarchical clustering is of critical significance, particularly in light of the exponential rise of data derived from the normal world. You may derive a variety of hierarchical agglomerative clustering algorithms from this architecture by providing an inter-cluster semantic similarity, an expression patterns of the -similarity graph, and a cover procedure. These three pieces of information are required. According to the findings of our experiments, our approaches are not only more efficient than conventional hierarchical algorithms, but they also produce smaller agglomerative hierarchical clustering while maintaining the same level of clustering effectiveness. It is generally agreed that topology management is an effective strategy for addressing these challenges. This method groups nodes together for the purpose of managing them and/or carrying out a variety of duties in a dispersed way, such as resource management. There are many quality-driven goals that may be accomplished by clustering, despite the fact that approaches for clustering are mostly renowned for their ability to reduce energy usage. The purpose of this study is to provide a comprehensive explanation on various enhanced agglomerative hierarchical clustering techniques. In addition to this, the authors have provided certain criteria, on the basis of which one may also assess which of these previously described algorithms is the most effective.","PeriodicalId":382104,"journal":{"name":"2023 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI)","volume":"2020 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133558767","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}
P. Sai, Kondreddy Manoj, Sumanth Kumar, Sambath M Reddy, J.Thangakumar
{"title":"Machine Learning Algorithmsfor Diagnosis of Parkinson's disease Based on Voice Characteristics","authors":"P. Sai, Kondreddy Manoj, Sumanth Kumar, Sambath M Reddy, J.Thangakumar","doi":"10.1109/ACCAI58221.2023.10199719","DOIUrl":"https://doi.org/10.1109/ACCAI58221.2023.10199719","url":null,"abstract":"Bradykinesia, tremors, rigidity, and postural instability are symptoms of a degenerative neurological condition called Parkinson's disease (PD) affecting the motor movements. Deep brain stimulation, medication, and other therapies can all be used to treat theParkinson's disease symptoms, yet as of today, there is no effective treatment. Parkinson's disease must be recognized as early and precisely as feasible for effective disease treatment and the development of new therapies. The goal of this work is to create a model that can detect Parkinson's disease based on relevant clinical and demographic variables. It employs a number of machinelearning techniques, including Logistic Regression, Support Vector Machine (SVM), Gradient Boosting Classifier, K-Nearest Neighbors (KNN), Random Forest Classifier, and ensemble method, which is a voting classifier. A significant dataset that contains data on changes in speaking patterns was used to train the model. Using measures for accuracy, precision, recall, and F1-score, the machine learning model's performance is assessed and contrasted with that of the most widely used techniques for Parkinson's disease diagnosis.","PeriodicalId":382104,"journal":{"name":"2023 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132159520","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}
Dr. P. Shanthi, E. K. Arulkarthick, Dr. B. R. Supreeth, N. K. Vyas, D. P. Singh, R. Selvameena
{"title":"Weather Impact Nano Patch Hybrid Satellite Communication with AI Monitored Network Information Protection System","authors":"Dr. P. Shanthi, E. K. Arulkarthick, Dr. B. R. Supreeth, N. K. Vyas, D. P. Singh, R. Selvameena","doi":"10.1109/ACCAI58221.2023.10199555","DOIUrl":"https://doi.org/10.1109/ACCAI58221.2023.10199555","url":null,"abstract":"Artificial intelligence (artificial intelligence) is a quickly extending area of software engineering that is expected to modify numerous features of our progress significantly. Without falling back on an express insightful treatment of those linkages, man-made intelligence approaches are utilized to examine immense volumes of unstructured and heterogeneous information and find and exploit nuanced and complex connections among them. With satellite communication, there is an opportunity for administration coherence in both covered and revealed regions, as well concerning administration comprehensiveness and versatility. Be that as it may, various snags should initially be conquered to procure these benefits since satellite networks have more complicated asset the board, network control, network security, range the executives, and energy use issues than earthly networks do. The subject of shielding communication in satellite networks is canvassed in this article. We investigate various security dangers that hybrid satellite networks might experience and audit the different safety efforts put out to safeguard information transmissions in these networks.","PeriodicalId":382104,"journal":{"name":"2023 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI)","volume":"125 17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134455927","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}
Sruthy R, S. Kavitha, N. Darwin, Anita Titus, V. V. Kishore, Dharshini. B. S
{"title":"Smart RFID: Experimental Evaluation of Secured Students Attendance Handling System Using RFID","authors":"Sruthy R, S. Kavitha, N. Darwin, Anita Titus, V. V. Kishore, Dharshini. B. S","doi":"10.1109/ACCAI58221.2023.10200716","DOIUrl":"https://doi.org/10.1109/ACCAI58221.2023.10200716","url":null,"abstract":"While old techniques are time-consuming and inefficient, recent years have seen a rise in the importance of student attendance as a reflection of academic accomplishments and the effectiveness provided to any university. Recently, however, a variety of automated identifying technologies, such as Radio Frequency Identification (RFID), have gained popularity (RFID). Many studies and applications being developed to make the most of this technology, which raises certain ethical questions. RFID, or radio-frequency identification, is a wireless technology used for the purpose of identifying and monitoring an object by the transfer of data from an electronic tag, termed an RFID tag or label, via radio waves to an RFID reader. In this project, an RFID-based system has been developed to provide an attendance monitoring system. In addition to streamlining the process as a whole, automated attendance management software will also produce a well-structured and analyzed report of the pattern of student attendance and time management, which may aid in the allocation and use of human resources. In this study, RFID was used to the task of tracking student attendance, allowing teachers and administrators to more efficiently record in-person classroom statistics that may be used to determine how students should be graded and inform other administrative choices.","PeriodicalId":382104,"journal":{"name":"2023 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115474852","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":"Progressive Temporal Blockchain Framework for Ensuring Secure Management and Access of EHR","authors":"S. T, R. Pugalenthi","doi":"10.1109/ACCAI58221.2023.10199482","DOIUrl":"https://doi.org/10.1109/ACCAI58221.2023.10199482","url":null,"abstract":"This research article proposes a novel framework based on progressive temporal blockchain technology for ensuring secure management and access of personal health records (EHR). With increasing concerns about the privacy and security of sensitive health information, there is a growing need for a robust and tamper-proof data management system that can provide secure access to EHR. The proposed framework integrates advanced encryption mechanisms, identity management protocols, and smart contract technology to ensure that EHR data is stored securely and accessed only by authorized users. The framework also leverages a progressive temporal blockchain architecture that ensures the integrity and immutability of EHR data over time. Through rigorous testing and evaluation, we demonstrate the effectiveness of the proposed framework in ensuring the security, privacy, and accessibility of EHR data. Our results indicate that the framework can provide a scalable and reliable platform for managing EHR, with potential applications in healthcare data management, disease surveillance, outbreak response, and clinical research. The framework also addresses several critical challenges in EHR management, including data privacy, interoperability, and regulatory compliance. Overall, our research contributes to the development of a secure and accessible platform for managing EHR, with significant implications for improving healthcare outcomes and patient satisfaction.","PeriodicalId":382104,"journal":{"name":"2023 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124330146","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 community based cloud music streaming platform with recommendation and comments filtering","authors":"Abhijith J K, Belsare Yash Rahul, Chethan Rao S, Harshal Goyal, Meenakshi Malhotra","doi":"10.1109/ACCAI58221.2023.10199223","DOIUrl":"https://doi.org/10.1109/ACCAI58221.2023.10199223","url":null,"abstract":"The music streaming industry has become increasingly popular, and many existing music apps offer users a wide range of audio content to choose from. The music industry has undergone significant transformation over the years, with the emergence of new technologies leading to the rapid increase of streaming services and changing consumer preferences. Currently existing music streaming services like spotify, wynk music have various features including music discovery, playlist creation, song/artist recommendation, offline playback, lyric integration, and personalization based on user preferences and listening history. Based on the analysis of existing music apps, we are building a new cloud based music streaming app that not only provides a personalized music recommendation system but also focuses on the artists by providing a platform for independent musicians to showcase their work. The app is designed to cater to artists, with a focus on building a community-driven platform that incorporates comment filtering.","PeriodicalId":382104,"journal":{"name":"2023 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114590704","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}