2023 International Conference on Computer Communication and Informatics (ICCCI)最新文献_第9页

Graphene based Rectangular Wideband Antenna for High Speed and Short Distance Wireless Applications 用于高速短距离无线应用的石墨烯矩形宽带天线

2023 International Conference on Computer Communication and Informatics (ICCCI) Pub Date : 2023-01-23 DOI: 10.1109/ICCCI56745.2023.10128410

S. J. Rao, N. Suguna, R. Saravanakumar, V. L. N. P. Ponnapalli, S. Alamelu Alias Rajasree, C. Krishna

引用次数: 0

Design and Development of UAV for Challange faced for Data Muling problem In Path 面向路径数据处理挑战的无人机设计与开发

2023 International Conference on Computer Communication and Informatics (ICCCI) Pub Date : 2023-01-23 DOI: 10.1109/ICCCI56745.2023.10128278

M. Arunachalam, Mani Kanta Animisetty, Bhanu Prakash Nammi, Suman Jajala, Siva Raju Dokku

引用次数: 0

Sentimental Analysis Recognition in Customer review using Novel-CNN 基于Novel-CNN的顾客评论情感分析识别

2023 International Conference on Computer Communication and Informatics (ICCCI) Pub Date : 2023-01-23 DOI: 10.1109/ICCCI56745.2023.10128627

N. Deepa, J. Priya, T. Devi

{"title":"Sentimental Analysis Recognition in Customer review using Novel-CNN","authors":"N. Deepa, J. Priya, T. Devi","doi":"10.1109/ICCCI56745.2023.10128627","DOIUrl":"https://doi.org/10.1109/ICCCI56745.2023.10128627","url":null,"abstract":"Sentimental Emotion Recognition is the recognition of emotion which is detected by many fields such as Artificial intelligence, Machine Learning and Deep Learning. The professionals need sentimental analysis for business like social media monitoring, brand monitoring and customer feedback which will help in business for improvising the product based on the emotion gathered from the customers. Sentimental analysis is used in business to mine the data of customers about how they are feeling about the product. Existing systems like Facebook, WhatsApp and twitter use sentimental emotions for sensing the user’s emotions. In our proposed system we are using the Novel Convolution Neural Network (N-CNN) system for sentimental recognition to make better understanding of customers which can be used to improve the product quality. To enhance the accuracy of the proposed model Amazon review for product sales is used which is available in kaggle. Using the proposed model the model in comparison with existing model the preprocessed feature which are extracted from multiple neural networks are recognized. Feature based on the selected customer feedback on constant steps of filtering, max pooling and necessary activation function results are implemented and shown 98.3% of accuracy which is more reliable results than the other Machine learning model.","PeriodicalId":205683,"journal":{"name":"2023 International Conference on Computer Communication and Informatics (ICCCI)","volume":"413 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114058049","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

Chest Disease Classification Using Convolutional Neural Networks 基于卷积神经网络的胸部疾病分类

2023 International Conference on Computer Communication and Informatics (ICCCI) Pub Date : 2023-01-23 DOI: 10.1109/ICCCI56745.2023.10128179

S. Ms. Kavitha, S. Thaarani, Amrit Preet Singh, G. Santhosh

{"title":"Chest Disease Classification Using Convolutional Neural Networks","authors":"S. Ms. Kavitha, S. Thaarani, Amrit Preet Singh, G. Santhosh","doi":"10.1109/ICCCI56745.2023.10128179","DOIUrl":"https://doi.org/10.1109/ICCCI56745.2023.10128179","url":null,"abstract":"Chest diseases pose major health risks to people globally. Early diagnosis of these conditions enables early treatment, which can prevent death. The healthcare system benefits greatly from the use of Convolutional Neural Networks (CNN), particularly when it comes to early disease prediction. X- rays serve as one of the key factors that accurately classify disorders of the chest. The prediction of chest diseases such Atelectasis, Cardiomegaly, Lung Consolidation, Edema, Pleural Thickening and Pneumothorax from X-ray images is the objective of this project. The CNN Model is used to analyze the disease classification and the results are explained in terms of accuracy. Preprocessing with images can enhance the model’s accuracy. For that, we used some image preprocessing techniques which include Histogram Equalization, Bilateral Filter, Gaussian Blur and Contrast Limited Adaptive Histogram Equalization. These techniques were used to remove the unwanted noise from the X ray images and improve luminance of the images which leads to produce more accurate decisions. The dataset consists of 1 csv file and an X-ray image folder that contains six classes of disease and 1,120 X-rays. Convolutional neural networks (CNNs) are described in the research as a tool for diagnosing disorders of the chest. The architecture of CNN is presented, as well as its guiding principles. Among those preprocessing techniques, Contrast Limited Adaptive Histogram Equalization technique gave more accuracy which is nearly 91.2 %. Results that compare accuracy and network training time are shown.","PeriodicalId":205683,"journal":{"name":"2023 International Conference on Computer Communication and Informatics (ICCCI)","volume":"323 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":"114008641","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

IoT Based Identification And Attendance Monitoring System Using Design Thinking Framework 基于物联网的身份识别和考勤监控系统的设计思维框架

2023 International Conference on Computer Communication and Informatics (ICCCI) Pub Date : 2023-01-23 DOI: 10.1109/ICCCI56745.2023.10128367

K. Sangeetha, M. Shobana, V. S. Nagul Pranav, S. Darunya, K. P. Madhumitha, M. Nidharshini

{"title":"IoT Based Identification And Attendance Monitoring System Using Design Thinking Framework","authors":"K. Sangeetha, M. Shobana, V. S. Nagul Pranav, S. Darunya, K. P. Madhumitha, M. Nidharshini","doi":"10.1109/ICCCI56745.2023.10128367","DOIUrl":"https://doi.org/10.1109/ICCCI56745.2023.10128367","url":null,"abstract":"The outdated study approach is inadequate at tracking employee and student movement, making it difficult for management to manually track attendance and uncover confusing and fraudulent activities. Design Thinking is a unique approach to solve problems that are ill-defined or unknown. CNN and RFID can track student and employee movements. CNN and RFID were suggested to improve management and track interest group activities. RFID and CNN Model were used to improve management and track interest groups. RFID and facial detection are used to verify student attendance. The RFID tags and facial detection technique allow management to track students and employees in and out of campus. An individual without an RFID card or with an unmatched face and ID card will trigger, alerting management and maintaining record of their attendance. This system used wireless networking, a webcam, a database management system, and passive RFID. When the RFID tag passed through the RFID reader in the read range zone, the database system recorded the data. Cameras and RFID readers read the face simultaneously. The software takes photos of all authorized users and stores them in a database. The system then saves the image in a face coordinate structure. This system sends staff and student data to management online for monitoring. Management may easily access student and employee personal records and track their availability. Hence using the five stages of Design Thinking this study impacts employee and student monitoring practices. The project cannot restrict punctuation, but it will assist management monitor attendance, detect fraud,and save time.","PeriodicalId":205683,"journal":{"name":"2023 International Conference on Computer Communication and Informatics (ICCCI)","volume":"20 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":"122849819","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

Comparative Analysis for Prediction and Classification of Mental Health Issues and Challenges Using Hybrid Learning Techniques 使用混合学习技术预测和分类心理健康问题和挑战的比较分析

2023 International Conference on Computer Communication and Informatics (ICCCI) Pub Date : 2023-01-23 DOI: 10.1109/ICCCI56745.2023.10128356

P. Nagaraj, M. Arun Kumar, E. Sudheer Kumar, S. Ishwarya Lakshmi, R. Aishwarya, M. Neyashree

{"title":"Comparative Analysis for Prediction and Classification of Mental Health Issues and Challenges Using Hybrid Learning Techniques","authors":"P. Nagaraj, M. Arun Kumar, E. Sudheer Kumar, S. Ishwarya Lakshmi, R. Aishwarya, M. Neyashree","doi":"10.1109/ICCCI56745.2023.10128356","DOIUrl":"https://doi.org/10.1109/ICCCI56745.2023.10128356","url":null,"abstract":"Mental health condition including sadness, anxiety, and sleep deprivation owns up to the emotional stress in young children, teens, and also in adults. It affects how a person thinks, ponders, feels, or responds to a certain circumstance or situation. Only if one has both good physical health and mental health, an individual can work productively and reach their full potential. Mental health is very important at every stage of life, from childhood to adulthood. We gathered information from online datasets that were readily available. For better prediction, the data has been labe-lencoded. To obtain labels, the data is subjected to several machine-learning approaches. The model that will be developed to forecast a person’s mental health will then be based on these categorized labels. Working-class individuals over the age of 1S are our target market. The model will be implemented into a website when it is created so that it may forecast the outcome based on the information provided by the user.","PeriodicalId":205683,"journal":{"name":"2023 International Conference on Computer Communication and Informatics (ICCCI)","volume":"49 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":"127010307","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

Empirical investigations on the security and threat mitigation of campus switches 校园交换机安全与威胁缓解的实证研究

2023 International Conference on Computer Communication and Informatics (ICCCI) Pub Date : 2023-01-23 DOI: 10.1109/ICCCI56745.2023.10128280

Mooraka Sandhya

{"title":"Empirical investigations on the security and threat mitigation of campus switches","authors":"Mooraka Sandhya","doi":"10.1109/ICCCI56745.2023.10128280","DOIUrl":"https://doi.org/10.1109/ICCCI56745.2023.10128280","url":null,"abstract":"The OSI seven-layer model has emerged as a global consensus for safely and confident organizational network communication while preventing other OSI layers from being familiar with the existing layer of communication. The application, transport, and network layers have all seen extensive research and development into solving network threats. The maintenance of Layer 2 threat mitigation is still insufficient. Unfortunately, this means that communications can be affected if one layer is broken without the other layers being aware of the issue. The entire network may be vulnerable if a first attack originates at Layer 2. The port security function must be set up correctly in order to work well in an organizational setting; otherwise, it may rapidly become more of a burden than a benefit. All assaults and defense strategies rely on an IP-enabled switched Ethernet network. Most of these attacks become considerably easier if shared Ethernet access (WLAN, Hub, etc.) is implemented. This paper summarizes various potential Layer 2 attacks while keeping an eye on security issues in Layer 2. VLAN hopping, MAC flooding, DHCP attacks are just a few examples of the network security issues caused by inadequate layer 2 hardening that are covered in this paper. Additionally, it addresses how this increases a LAN’s or network system’s susceptibility to attacks in general. How to set up switch efficiently to mitigate the attacks will be demonstrated.","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":"133235352","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

Securing Cloud Identity Information Under Key Introduction 在密钥介绍下保护云身份信息

2023 International Conference on Computer Communication and Informatics (ICCCI) Pub Date : 2023-01-23 DOI: 10.1109/ICCCI56745.2023.10128194

M. Geetha Priya., V. Kavitha

{"title":"Securing Cloud Identity Information Under Key Introduction","authors":"M. Geetha Priya., V. Kavitha","doi":"10.1109/ICCCI56745.2023.10128194","DOIUrl":"https://doi.org/10.1109/ICCCI56745.2023.10128194","url":null,"abstract":"A fine-grained question authorization scheme with integrity verification is proposed primarily based totally on Density primarily based totally Space-filling Curve (DSC). The proposed scheme extricates the appropriation of the re- appropriated POIs, and makes use of the non-uniform parcel withinside the spatial area. Each divided district includes curve obstacles for spatial extrade in that locale, and the parceled districts with a comparable length scale are consolidated. Then, the curve obstacles of those mixed locales are refreshed primarily based totally at the obstacles in their sub districts. These curve obstacles are indicated because the extrade keys evaluating to those consolidated areas. The extrade keys are coordinated in a quad tree shape, and tree hubs at diverse ranges examine to distinct spatial locales, which empowers the fine-grained question cap potential authorization. Moreover, the proposed scheme creates digests facts for every parceled vicinity, which can be then coordinated in a quadtree shape for question end result verification. Tree hubs at diverse ranges examine to diverse spatial districts, and the pertaining to digests are applied for question end result verification. Subsequently, the fine-grained verification potential authorization is upheld, which suggests simply the customers with the verification shape referring to the authorised vicinity can verify the integrity of the question end result.","PeriodicalId":205683,"journal":{"name":"2023 International Conference on Computer Communication and Informatics (ICCCI)","volume":"122 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":"134619075","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

Deep Learning Approaches for Accurate Sentiment Analysis of Online Consumer Feedback 基于深度学习的在线消费者反馈情感分析方法

2023 International Conference on Computer Communication and Informatics (ICCCI) Pub Date : 2023-01-23 DOI: 10.1109/ICCCI56745.2023.10128231

Swathi Ganesan, N. Somasiri, Chandima Colombage

引用次数: 0

Disease prediction in humans using Machine Learning Techniques- A survey 使用机器学习技术预测人类疾病-一项调查

2023 International Conference on Computer Communication and Informatics (ICCCI) Pub Date : 2023-01-23 DOI: 10.1109/ICCCI56745.2023.10128181

Anju Asokan

引用次数: 0