2023 International Conference on Computer Communication and Informatics (ICCCI)最新文献_第10页

ECC-based Authentication for Secure TDMA in VANETs 基于ecc的vanet安全TDMA认证

2023 International Conference on Computer Communication and Informatics (ICCCI) Pub Date : 2023-01-23 DOI: 10.1109/ICCCI56745.2023.10128221

Suchi Johari, M. Krishna

引用次数: 0

Deep Learning Framework for Identification of Leaf Diseases in Native Plants of Tamil Nadu Geographical Region 泰米尔纳德邦本地植物叶片病害识别的深度学习框架

2023 International Conference on Computer Communication and Informatics (ICCCI) Pub Date : 2023-01-23 DOI: 10.1109/ICCCI56745.2023.10128593

K. Kavitha, S. Naveena

{"title":"Deep Learning Framework for Identification of Leaf Diseases in Native Plants of Tamil Nadu Geographical Region","authors":"K. Kavitha, S. Naveena","doi":"10.1109/ICCCI56745.2023.10128593","DOIUrl":"https://doi.org/10.1109/ICCCI56745.2023.10128593","url":null,"abstract":"Plant pathogens are a prominent cause of reduced yields, resulting in decreased crop yields. Scientists are striving to develop a mechanism for identifying plant ailments in order to boost farm output. Deep learning algorithms have been developed for pathogen recognition and prediction in tomato plant leaves. Two different types of diseases impact both healthy and sick leaves. A Convolution Neural Network, which is effective for detection and prediction barrier, was used to forecast Septoria spot and bacterial spot. A dataset of 4930 images of healthy and damaged leaves from a plant community is used for the experiments. The model’s performance is precisely evaluated, and the conclusion is accurate. The project makes use of Plant Village images of tomato, potato, and onion leaves. Four different classes can each be recognized by the suggested CNNs. In each instance, the trained model achieves accuracy of 100%, 98.3%, and 97.89%. The classification of leaf disease detection using simulation data shows the potential effectiveness of the proposed approach. The algorithm proposed can be applied to categories any additional species of native plant to Tamil Nadu. Self Help Groups (SHGs), which are found in each and every village in India, will be utilized to gather information on how farmers see themselves. The observations and ameliorate both will be communicated to the same SHGs. Because of its high success rate, the model is a good tool for counselling or early warning.","PeriodicalId":205683,"journal":{"name":"2023 International Conference on Computer Communication and Informatics (ICCCI)","volume":"61 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":"114190288","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}

引用次数: 1

IMPROVE: Intelligent Machine Learning based Portable, Reliable and Optimal VErification System for Future Vehicles 改进:基于智能机器学习的便携式、可靠和优化的未来车辆验证系统

2023 International Conference on Computer Communication and Informatics (ICCCI) Pub Date : 2023-01-23 DOI: 10.1109/ICCCI56745.2023.10128616

A. S. Shreyas Madhav, A. Mohan, A. Tyagi

{"title":"IMPROVE: Intelligent Machine Learning based Portable, Reliable and Optimal VErification System for Future Vehicles","authors":"A. S. Shreyas Madhav, A. Mohan, A. Tyagi","doi":"10.1109/ICCCI56745.2023.10128616","DOIUrl":"https://doi.org/10.1109/ICCCI56745.2023.10128616","url":null,"abstract":"The technological progress over the past decade has revolutionized the transportation domain. Autonomous and semi-autonomous vehicles have now gained the global spotlight for facilitating personal transportation with minimal manual intervention. The digitization of this industry has been accompanied by significant security challenges in terms of ensuring reliable transmission and robust communication networks which are critical for the proper functioning of the smart vehicle. The CAN bus architecture responsible to establishing connectivity within the various vital components of the car’s internal architecture is a prime target for intrusions. Secure connections must also be established between the vehicle and external devices such as smartphones for enhancing the travel experience. Hence a complete security intrusion detection framework for self-driving cars is of dire need. This article introduces an Intelligent Machine Learning based Portable, Reliable and Optimal VErification System (IMPROVE) for Future Vehicles that aims to provide a viable solution to resist vehicular cyberattacks both on the internal network of the vehicle and the vehicle to device network established. The proposed framework is twofold in nature- The initial module focusses on ensuring Controller Area Network (CAN) security through machine learning modelling for intrusion detection. The second module is oriented towards utilizing data analysis to detect and block malicious behaviour on networks established with external/internal devices.","PeriodicalId":205683,"journal":{"name":"2023 International Conference on Computer Communication and Informatics (ICCCI)","volume":"4 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":"114311624","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}

引用次数: 0

High Precision Non-Invasiveblood Glucose Monitoring Device For Diabetic Patients 用于糖尿病患者的高精度无创血糖监测装置

2023 International Conference on Computer Communication and Informatics (ICCCI) Pub Date : 2023-01-23 DOI: 10.1109/ICCCI56745.2023.10128321

Y. Roshini, P. Durgaprasadarao, R. Sai Sarvan, L. V. Koushik Varma U, V. Sireesha

引用次数: 1

Music Recommendation Based on Facial Expressions and Mood Detection using CNN 基于CNN面部表情和情绪检测的音乐推荐

2023 International Conference on Computer Communication and Informatics (ICCCI) Pub Date : 2023-01-23 DOI: 10.1109/ICCCI56745.2023.10128353

Ganne Vaishnavi, R. Sumathi, Karnatakam Anvitha, Dhathri Bathineed, Balabhadra Nikhitha, K. Vanaja

引用次数: 0

COVID 19 post-vaccination adverse effects prediction with supervised machine learning models 基于监督机器学习模型的COVID - 19疫苗接种后不良反应预测

2023 International Conference on Computer Communication and Informatics (ICCCI) Pub Date : 2023-01-23 DOI: 10.1109/ICCCI56745.2023.10128441

Vaishali Ravindranath, S. Balakrishnan

{"title":"COVID 19 post-vaccination adverse effects prediction with supervised machine learning models","authors":"Vaishali Ravindranath, S. Balakrishnan","doi":"10.1109/ICCCI56745.2023.10128441","DOIUrl":"https://doi.org/10.1109/ICCCI56745.2023.10128441","url":null,"abstract":"This electronic Pharmacovigilance with AI helps to trace possible adverse events among the vaccinated population. The symptom pattern discovery from the vaccinated population obtained through post-vaccination surveys provides insights for medical practitioners to study the possibility of adverse events among vulnerable populations. This work contains postvaccination survey data from an Indonesian national referral hospital with 840 instances, 6 categorical input features, and 15 binary target attributes. As there were multiple symptoms as a target, multi-target classification algorithms experimented on the dataset. The inadequate sample size resulted in poor performance of the algorithm. To improve model prediction performance, the target was converted into binary format. The population that exhibited at least one symptom is considered symptomatic by the binary classification models. The supervised machine learning model of test train split (80%- 20%) produced 89% accuracy with a decision tree classification algorithm in the classification of symptomatic or non-symptomatic patients.","PeriodicalId":205683,"journal":{"name":"2023 International Conference on Computer Communication and Informatics (ICCCI)","volume":"5 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":"117286019","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}

引用次数: 0

BookChain: A Secure Library Book Storing and Sharing in Academic Institutions using Blockchain Technology BookChain:使用区块链技术在学术机构中实现安全的图书馆图书存储和共享

2023 International Conference on Computer Communication and Informatics (ICCCI) Pub Date : 2023-01-23 DOI: 10.1109/ICCCI56745.2023.10128571

P. Chinnasamy, A. Elumalai, R. Ayyasamy, S.P. Kavya, S. Dhanasekaran, A. Kiran

{"title":"BookChain: A Secure Library Book Storing and Sharing in Academic Institutions using Blockchain Technology","authors":"P. Chinnasamy, A. Elumalai, R. Ayyasamy, S.P. Kavya, S. Dhanasekaran, A. Kiran","doi":"10.1109/ICCCI56745.2023.10128571","DOIUrl":"https://doi.org/10.1109/ICCCI56745.2023.10128571","url":null,"abstract":"By exploiting wireless operators, contemporary bookcrossing allows people to share books conveniently and hastens the spread of knowledge. Nevertheless, the widespread use of smartphone bookcrossing has been seriously hampered by the lack of tracking, resulting in missing and disappearance of textbooks, additionally, it leads to organizational inefficiency. Hence, we suggest using the emerging blockchain technology to exploit the advantages of its immutability and encrypted smart contract in order to overcome these difficulties. In this research, we propose a BookChain, a blockchain-based intra-campus book-sharing system that is verifiable and effective. BookChain securely records all of the book’s interacting entities on blockchain because every consumer could retrace the book’s renting activity, hence lowering the risk of a book being misplaced. Additionally, BookChain promotes the use of smart contracts to streamline the distribution of books with very little human interference, maximizing productivity. The experimental findings demonstrate the efficiency and affordability of the suggested system even with a large number of concurrent participants.","PeriodicalId":205683,"journal":{"name":"2023 International Conference on Computer Communication and Informatics (ICCCI)","volume":"37 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":"123462128","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}

引用次数: 0

Implementation of Yara Rules in Android Yara规则在Android中的实现

2023 International Conference on Computer Communication and Informatics (ICCCI) Pub Date : 2023-01-23 DOI: 10.1109/ICCCI56745.2023.10128288

Pragya Bharti, Shreya Saha Roy, A. Suresh

引用次数: 0

Accident Prevention System using Machine Learning 使用机器学习的事故预防系统

2023 International Conference on Computer Communication and Informatics (ICCCI) Pub Date : 2023-01-23 DOI: 10.1109/ICCCI56745.2023.10128202

Srihan Thokala, Rohith Jakkani, Murari Alli, Hariharan Shanmugasundaram

引用次数: 1

An In-Depth Analysis of the Role That ML and Big Data Play in Driving Digital Marketing’s Paradigm Shift 深度分析机器学习和大数据在推动数字营销范式转变中的作用

2023 International Conference on Computer Communication and Informatics (ICCCI) Pub Date : 2023-01-23 DOI: 10.1109/ICCCI56745.2023.10128357

Mano Ashish Tripathi, Ravikesh Tripathi, Femmy Effendy, Geetha Manoharan, M. John Paul, Mohd Aarif

引用次数: 2