2023 International Conference on Computer Communication and Informatics (ICCCI)最新文献

{"title":"E-Governence Services using Artificial Intelligence Techniques","authors":"P. Chinnasamy, D. Tejaswini, S. Dhanasekaran, K. Ramprathap, K. Lakshmi Priya, A. Kiran","doi":"10.1109/ICCCI56745.2023.10128646","DOIUrl":"https://doi.org/10.1109/ICCCI56745.2023.10128646","url":null,"abstract":"In a wide variety of fields, AI technology (AI) has lately evolved to state-of-the-art levels. It still has a lot of obstacles to overcome before it can be ready for e-government applications, including setting up the systems and interacting with residents online. In this research, we tackle the problems with e-government systems & suggest a framework that makes use of AI technology to improve and streamline e-government operations. We first design a model for the administration of e-government information resources in particular. Second, we frequently create a variety of deep-learning algorithms with the intention of transforming numerous e-government services. Third, we tend to suggest an intelligent e-government platform architecture that facilitates the emergence and execution of AI e-government applications. Our overriding objective aims to advance this level of e-government services by using reliable AI approaches in order to shorten processing times, reduce costs, and raise public satisfaction.","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":"131964051","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":"Online Medical System Using ElGamal","authors":"Shivam Gupta, S. Thenmalar, S. Subha","doi":"10.1109/ICCCI56745.2023.10128629","DOIUrl":"https://doi.org/10.1109/ICCCI56745.2023.10128629","url":null,"abstract":"Cost-effective and secure sharing of individual health records is now possible through the use of cloud services in the healthcare sector. Storing sensitive health information in the cloud raises concerns about its security, necessitating an assessment of the best means of protecting this information. As a result, we propose a strategy to facilitate the exchange of private health data in the cloud, which we refer to as Enhanced Security Services. These systems ensure the confidentiality of PHRs while also protecting the patient’s right to exercise autonomy over their own health information. Patients encrypt their data and store it on remote servers, allowing multiple parties access to specific sections of their medical records. Key pairs and re-encryption keys are initially generated and stored on a semi-trusted proxy and re-encryption server (SRS). This approach is safe because it uses both forward and backward access control and guards against insider threats. Using High-Level Petri Nets, we formally investigate and verify the efficacy of this strategy (HLPN). An evaluation of the personal health data methodology’s efficiency suggests it can exchange data safely via the cloud.","PeriodicalId":205683,"journal":{"name":"2023 International Conference on Computer Communication and Informatics (ICCCI)","volume":"26 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":"130064371","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":"Pest Detection and Identification on Plants Using CNN Algorithm: A survey","authors":"A. Kalaiarasi, N. Kumareshan, R. Kanmani, M. Dinesh Kumar, R. Dharun Pandian, N. Baráth","doi":"10.1109/ICCCI56745.2023.10128361","DOIUrl":"https://doi.org/10.1109/ICCCI56745.2023.10128361","url":null,"abstract":"India is the largest agriculture production country. It ranks 2nd largest producer of rice and wheat. Various crops are grown in various parts of the country. Agriculture contributes to India’s GDP increase from 17.8-19.9% in 2019-2021. Larger cultivation of plants is happening on fields of India giving many good outcomes. And we must also consider the defected plants which going to in garbage after harvesting. So we engineers should give a solution for rectify this problem on the time of planting. Defect in plant can identify in many views like testing the Soil nutrient, identifing the pest attack in leaves or fruits of that plant. By analyzing the defect on the plant in cultivation time can reduce the chance of spoiling. If the pest identification is done, then we can apply suitable fertilizer for that. Not all the insect are harmful for plants, some will help in pollination and eat other pests on the plants. Large number of insect pest attack leads damage in the crop production. Image processing of plant leaves for identify the pest by matching with dataset on MATLAB Tool, eventually found the deficiency occurred on that plant. This process have efficient algorithm for finding the result. Then the further process like pesticides applying can carried out according to the pest identified.","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":"134139352","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":"Comparative Analysis of Different Approaches to the Music Recommendation System","authors":"P. Nagaraj, V. Muneeswaran, B. Mohith Kumar, K. Rama Krishna Rao, Mothukuri Siva Nagaraju, Mandadi Venakata Hemanth Kumar","doi":"10.1109/ICCCI56745.2023.10128645","DOIUrl":"https://doi.org/10.1109/ICCCI56745.2023.10128645","url":null,"abstract":"Digital music and music streaming services have led to a significant expansion in the variety of music available. For anyone, sorting through this music would be impossible. Music recommendation systems that use genre, artist, instrument, and user evaluations to automatically suggest music greatly reduce the amount of manual effort required. Although commercial use of music recommendation systems is widespread, there is no perfect system that can offer the customer the greatest music recommendations with the least amount of human effort. This research examined various recommendation systems currently in use, including content-based, collaborative, emotion-based, and other approaches. In addition to discussing the various recommendation methods, this research also explored the advantages and disadvantages of each approach. Finally, an overview of a potential music recommendation system that addresses many of the challenges faced by current hybrid recommendation systems was provided.","PeriodicalId":205683,"journal":{"name":"2023 International Conference on Computer Communication and Informatics (ICCCI)","volume":"48 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":"134416447","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 State Monitoring System Using AI","authors":"N. Saranya, V. Priyanka, T. Harini., B. Akhila, M. A. Hemalatha, R. S. Kaneshka Sre","doi":"10.1109/ICCCI56745.2023.10128174","DOIUrl":"https://doi.org/10.1109/ICCCI56745.2023.10128174","url":null,"abstract":"Artificial intelligence (AI) is a rapidly expanding field that the world needs. It is frequently used in scenarios where a group of intelligent robots utilize their intelligence to weaken human power. Whether we realize it or not, artificial intelligence plays a vital role in our daily lives. Artificial intelligence and machine learning have replicated human brain processes to offer the more what it wants and to help society go technologically advanced with digital evolution. The state and emotion of a driver can be predicted using machine learning techniques, which can then be utilized to deliver information that will increase road safety. It uses artificial intelligence in some way. The face, a crucial bodily feature, communicates a lot of information. Facial expressions, such as blinking and yawning more frequently than usual, differ from those in a normal state when a driver is fatigued. Systems can automatically learn and develop without being explicitly programmed thanks to artificial intelligence. Bio-indicators, a driver’s conduct while driving, and facial expressions can all be used to gauge a driver’s health. We give an exhaustive survey of driver sleepiness detection and alert systems in this study. We also discuss various machine learning methods that are utilized to assess the driver’s condition, including NumPy, the HOG algorithm, the SVM algorithm, the HAAR-based cascade classifier, and OpenCV. Finally, we list the difficulties that the present systems are facing and discuss the corresponding research potential.","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":"132971900","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":"Portable Water Quality Detector","authors":"P.S. Manoharan, P. Dhanya, R. Sowmya, S.B. Sri Varuni, R.K.C. Jeykumar","doi":"10.1109/iccci56745.2023.10128548","DOIUrl":"https://doi.org/10.1109/iccci56745.2023.10128548","url":null,"abstract":"The Quality of water can be determined by water quality detector.TDS sensor gives the total amount of solids dissolved in the water. Parts Per Million (PPM) is the unit of TDS. TDS sensor is integrated to Arduino and the value can be displayed using LCD display. pH sensor is used to find the concentration of hydrogen ions. If the concentration of hydrogen ions is high then the solution is acidic and if the concentration of hydrogen ions is low then the solution is basic. pH sensor is also integrated to Arduino. Then it compares the value of TDS and pH, displays the purpose of water. It displays both the values and purpose of the water.","PeriodicalId":205683,"journal":{"name":"2023 International Conference on Computer Communication and Informatics (ICCCI)","volume":"63 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":"126594996","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":"Multi-Object Detection and Tracking Using Machine Learning","authors":"Ayush Sahay, Keerti Vardhan Singh, Godwin Ponsam","doi":"10.1109/ICCCI56745.2023.10128255","DOIUrl":"https://doi.org/10.1109/ICCCI56745.2023.10128255","url":null,"abstract":"In today’s information-based economy, data serves as a replacement for oil. There have been shifts in how quickly and accurately benchmarks are measured as a result of efficient data. Industry buzzwords Computer Vision (CV) and Artificial Intelligence (AI) perform the data processing, making the improvement observable (AI). Two technologies have allowed for previously impossible endeavours, such as the identification and tracking of objects for traffic surveillance systems. The need for an effective algorithm to unearth concealed elements in images grows in tandem with the number of such features. Single-object detection in the urban vehicle dataset is handled by a Convolutional Neural Network (CNN) model, while multi-object detection in the COCO and KITTI datasets is handled by YOLOv3. Metrics are used to evaluate and chart the performance of the models (mAP). On traffic surveillance video, we use YOLOv3 and SORT to follow objects as they move between frames. This study argues that cutting-edge networks like DarkNet deserve to be treated as special cases. We see effective detection and tracking on a dataset of urban vehicles. The algorithms produce very reliable identifications that can be used in real time for traffic applications.","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":"130860011","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":"Blockchain Assisted Cloud Storage For Electronic Health Records","authors":"E. V. Sandeepkumar, A. Suresh","doi":"10.1109/ICCCI56745.2023.10128219","DOIUrl":"https://doi.org/10.1109/ICCCI56745.2023.10128219","url":null,"abstract":"The Secure Health Framework is a progressive temporal blockchain approach that addresses the aforementioned problems (SeFra). Specifically, SeFra’s foundational components, the Context-based Merkle Tree (CBMT) and Enhancement of access control, confidentiality, and integrity checking procedures is the goal of context-based access control (CBAC). Additionally, the framework allows for Interoperability and handles scalability issues with the aid of temporal properties, HL7 specifications, and Interplanetary File System for data management (IPFS). The results of the study demonstrate that the proposed framework SeFra’s performance in securely managing the Personalised Micro Ledger (PML) is affected by the temporal shadow concepts and context-based properties. Additionally, it helps record health records as text with temporal properties and share them with colleagues according to the rules set out in a context-aware smart contract. Importantly, the framework may be able to solve the problems of data silos and supply unchangeable, secure transactions in the healthcare sector. Electronic health records (EHR) have been linked to medical inconsistencies and worries about privacy and security. Although it is true that lack of standardisation is not the only difficulty in electronic health records (EHR), it is arguably the most significant. To solve the problems of interoperability and privacy, blockchain-based decentralised online ledgers have already been proposed and implemented. Nevertheless, there are still a number of other obstacles to overcome. Main technical obstacles include scalability, usability, and accessibility. The first technical difficulty is the need to keep medical records in their various formats off-chain while providing secure access control to them on-chain. The second difficulty is providing an adequate description of who owns what data and how that data is shared during times of medical emergency. Accessibility remains a problem, however, as formal verification of smart contracts takes a long time relative to processing large batches of transactions.","PeriodicalId":205683,"journal":{"name":"2023 International Conference on Computer Communication and Informatics (ICCCI)","volume":"14 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":"131073134","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":"Design and Analysis of Annular Slot Antenna with Monopole for WLAN using Computer Simulation Technology","authors":"T. Rithika, Pathuri Sree Mahalakshmi, Brahmandlapally Anil, N. Vignesh, Balambigai Subramanian","doi":"10.1109/ICCCI56745.2023.10128532","DOIUrl":"https://doi.org/10.1109/ICCCI56745.2023.10128532","url":null,"abstract":"Antennas are fundamental for wireless communications. Portability, affordability, adaptability, and small size are essential for wireless communication antennas. This paper discusses the designing and analysis of an Annular Slot Antenna (ASA) with a monopole for Wireless LAN (WLAN) applications at 5. 8GHz frequency using Computer Simulation Technology (CST). The suggested antenna has a basic construction and is simple to build. A monopole and an annular slot antenna (ASA) are fitted into each other to form two quasi-omnidirectional radiators. A microstrip line supplies power to the monopole and the ASA. The performance of the designed antenna is analyzed on the grounds of voltage standing wave ratio (VSWR), S parameters, Return loss, and radiation patterns. Simulated outcomes from CST are presented.","PeriodicalId":205683,"journal":{"name":"2023 International Conference on Computer Communication and Informatics (ICCCI)","volume":"136 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":"133565045","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":"Obstacle detection and navigation support Using SMART Shoe for Visually Impaired Person","authors":"Vijay Kumar Burugari, P. Kanmani, M.I. Thariq Hussan, Prabha Selvaraj","doi":"10.1109/ICCCI56745.2023.10128502","DOIUrl":"https://doi.org/10.1109/ICCCI56745.2023.10128502","url":null,"abstract":"Transportation and mobility is a great challenge for visually challenged people. As the world becomes more sophisticated by leveraging the modern innovative technologies, the same can be tapped to aid the navigation of the blind people. The most conventional way is to use a walking stick or using a dog for guidance. Thanks to the advent and vast deployment of sensors in various applications. The next era in the deployment of sensor is its integration in Internet of Things (IoT) where intelligence can be inculcated in every object on the earth. There are many objects moving around like vehicles, crowds etc. It is hard to maneuver in these without colliding for the visually challenged people. The Visually Impaired Person (VCP) need a tool to help them navigate through the roads as there are many uncertainties for them to be calculative. The recent growth technology can help many people who are visually challenged and those who need assistance with their day to day activities. Our product “Smart shoe” helps the blind to navigate in an efficient way along with the crowd. This work aims to provide efficient and cheap alternatives that can be affordable and efficient to support blind people navigation.","PeriodicalId":205683,"journal":{"name":"2023 International Conference on Computer Communication and Informatics (ICCCI)","volume":"9 8","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132732272","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}