2021 4th International Conference on Computing and Communications Technologies (ICCCT)最新文献

M-Health Technology Using IOT 使用物联网的移动医疗技术

2021 4th International Conference on Computing and Communications Technologies (ICCCT) Pub Date : 2021-12-16 DOI: 10.1109/ICCCT53315.2021.9711869

R. Gayathiri, M. Nalini, R. Prabha, M. Nambiar Varsha, R. Archana, M. Nivetha

引用次数: 3

Fake Product Detection using Blockchain 利用区块链检测假冒产品

2021 4th International Conference on Computing and Communications Technologies (ICCCT) Pub Date : 2021-12-16 DOI: 10.1109/ICCCT53315.2021.9711899

P. Lavanya, N. Ananthi, K. Kumaran, M. Abinaya, B. Kalaivani, V. Krithika, S. Rahul

引用次数: 3

Analysis of AI based Brain Tumor Detection and Diagnosis 基于人工智能的脑肿瘤检测与诊断分析

2021 4th International Conference on Computing and Communications Technologies (ICCCT) Pub Date : 2021-12-16 DOI: 10.1109/ICCCT53315.2021.9711914

N. Shafana, A. Senthilselvi

{"title":"Analysis of AI based Brain Tumor Detection and Diagnosis","authors":"N. Shafana, A. Senthilselvi","doi":"10.1109/ICCCT53315.2021.9711914","DOIUrl":"https://doi.org/10.1109/ICCCT53315.2021.9711914","url":null,"abstract":"Cancer is caused by uncontrolled cell development in any part of the body. Nowadays cancer is one of the fast growing diseases. Tumors appear in various forms, each with its own set of characteristics and treatment options. Primary and metastatic brain tumors are the two major forms of brain tumors. Detecting and diagnosing the tumor at the early stage can save the lives drastically. Now the fast growth of tumor, presently need research. As a result, scientists and researchers have been trying to develop advanced tools and methods for identifying tumor types and their stages. MRI (Magnetic Resonance Image) and CT (Computed Tomography) are the most commonly preferred modalities for detecting the tumors by re-sectioning and analyzing anomalies in brain tissue or location. Due to the benefits of Magnetic Resonance Image over Computer Tomography scan, the doctors are preferred to use the MRI modality. MRI is non-invasive imaging which is one among the deeply considered modality in the field of medical area network which explain how to distinguish the tumor from the MRI identification of a brain cerebrum. This analysis aims at presenting an overview about Brain Tumor Segmentation, Detection and Diagnosis using Deep Learning (DL), Machine Learning (ML), and Transfer Learning (TL) techniques. This analysis gives an outline of partially and fully automated segmentation techniques that are referred from the previous studies. The collection of the databases used for segmenting and classifying are tabulated in this article. The study blends the presentation of best-in-class approaches from standard segmentation and classification techniques with a quantitative analysis. The comparison mentioned in the articles would greatly provide a detailed summary about the brain tumor detection and diagnosis techniques.","PeriodicalId":162171,"journal":{"name":"2021 4th International Conference on Computing and Communications Technologies (ICCCT)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125693863","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: 3

Recognizing Eminent Players from the Indian Premier League Using CNN Model 使用CNN模型识别印度超级联赛的杰出球员

2021 4th International Conference on Computing and Communications Technologies (ICCCT) Pub Date : 2021-12-16 DOI: 10.1109/ICCCT53315.2021.9711881

V. Narmadha, S. Sneha, C. Vishali

引用次数: 0

Analysis of Diabetic Retinopathy and Its Causes Using Fuzzy C-Means Model 用模糊c均值模型分析糖尿病视网膜病变及其病因

2021 4th International Conference on Computing and Communications Technologies (ICCCT) Pub Date : 2021-12-16 DOI: 10.1109/ICCCT53315.2021.9711840

T. Subha, N. Susila, R. Ranjana, V. Priya, V. Nithyashree

{"title":"Analysis of Diabetic Retinopathy and Its Causes Using Fuzzy C-Means Model","authors":"T. Subha, N. Susila, R. Ranjana, V. Priya, V. Nithyashree","doi":"10.1109/ICCCT53315.2021.9711840","DOIUrl":"https://doi.org/10.1109/ICCCT53315.2021.9711840","url":null,"abstract":"Diabetes Mellitus, commonly known as Diabetes, is a caused due to high range of sugar in the human body. After a period of time diabetes will lead to a deficiency in eye called as Diabetes Retinopathy. The major symptoms of this disorder are bulging of blood vessels, small lesions and other eye related eyes. The idea of our project is to analyze the severity level of the diabetes retinopathy using three different training methods. Deep learning plays a major role in the project. Proposed Model has been trained with three types, back propagation NN, deep neural networks called DNN and convolutional neural network known as CNN. The Deep Learning models created by using the above neural networks are able to measure the features such as micro aneurysms, blood vessels, fluid drip into different class of categories and hemorrhages. Model will find out the value or level of infection in the patient's eye. Fuzzy C- means algorithm are particularly used to calculate severity of the infection caused and the type of infection also. By this paper, severity of the Retinopathy can be found. The entire system has a user-friendly environment which makes the identification easy. Once the test image is uploaded, the interface will have buttons in order to do the necessary transformation on the given image. At the end of the complete interface options, the level of the infection along with the narrowed down area of infection will be seen in the interface.","PeriodicalId":162171,"journal":{"name":"2021 4th International Conference on Computing and Communications Technologies (ICCCT)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122593350","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

Secure Online Examination System on Azure Cloud with Load Balancer Azure云上的安全在线考试系统

2021 4th International Conference on Computing and Communications Technologies (ICCCT) Pub Date : 2021-12-16 DOI: 10.1109/ICCCT53315.2021.9711889

T. Sheela, V. Akila, B. Sravya, T. Harshitha

{"title":"Secure Online Examination System on Azure Cloud with Load Balancer","authors":"T. Sheela, V. Akila, B. Sravya, T. Harshitha","doi":"10.1109/ICCCT53315.2021.9711889","DOIUrl":"https://doi.org/10.1109/ICCCT53315.2021.9711889","url":null,"abstract":"There are certain disadvantages of traditional web hosting. It is more expensive as in some cases the setup costs exceed $100. Also, while using standard shared hosting, there's a chance that the site may be taken down if another website on the server becomes infected with a virus or malware. Scalability is not that efficient. To solve these problems cloud hosting is the only solution. Hosting the applications on cloud has become widely popular these days. But with increased access to internet and being online, a large section of people need to work with the same application atthe same time. With many requests from end users, most of the times servers crash and create inconvenience to the users. Also, there is no security for the applications on shared cloud. The aim of our project is to resolve the problem of server crashing and ensuring proper security to the application hosted on the public cloud. This has been ensured by the creation of two virtualmachines which act as servers and the configuration of the load-balancer which reduces the load on these servers by diverting the requests equally to both of them after checking their health. Also, the load-balancer acts as a reverse proxy and hides the backend servers IP address from external hackers thus ensuring security.","PeriodicalId":162171,"journal":{"name":"2021 4th International Conference on Computing and Communications Technologies (ICCCT)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114470987","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

Infection Prevention and Control Using Self Sterlizing Door Handle for Covid 自消毒门把手防控新冠病毒感染

2021 4th International Conference on Computing and Communications Technologies (ICCCT) Pub Date : 2021-12-16 DOI: 10.1109/ICCCT53315.2021.9711780

S. Nagaraj, K. Srividya, S. Premalatha, Santhosh, Sabareeswaran

{"title":"Infection Prevention and Control Using Self Sterlizing Door Handle for Covid","authors":"S. Nagaraj, K. Srividya, S. Premalatha, Santhosh, Sabareeswaran","doi":"10.1109/ICCCT53315.2021.9711780","DOIUrl":"https://doi.org/10.1109/ICCCT53315.2021.9711780","url":null,"abstract":"Quality health care is mainly influenced by Infection Prevention and Control (IPC). Healthcare facilities and general public during this covid crisis is very much in need of IPC procedures. Due to this emerging covid crisis the IPC has implemented several measures to stop the spread of pathogens and other transmissible diseases. This paper is precisely focused on the goal of maintaining a safe and healthier environment. Many solutions has been proposed during the covid crisis but it is proven that UV-C light rays has an notable effect on sterilizing the infected areas and it avoids the spread of pathogens, other than tedious methods, UV-C lights on door handles is and effective method in which they are activated when it is in a rest position and disinfects the handle by, killing pathogens. Among the UV spectrum, UVC lights are used in those handles to prevent infections which is the most effective of all the categories of UV light. As the hand to UV rays contact is very less, exposure while touching the handle, its effects on the skin is almost down to zero, non-existent. This device is highly efficient and can be used to reduce the contact ratio with the pathogens.","PeriodicalId":162171,"journal":{"name":"2021 4th International Conference on Computing and Communications Technologies (ICCCT)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121872172","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

An IoT Based Intelligent Screening System for Preventing COVID 19 Spread in Premises 基于物联网的防COVID - 19传播智能筛查系统

2021 4th International Conference on Computing and Communications Technologies (ICCCT) Pub Date : 2021-12-16 DOI: 10.1109/ICCCT53315.2021.9711763

Rachit Thukral, Manasi Mishra

{"title":"An IoT Based Intelligent Screening System for Preventing COVID 19 Spread in Premises","authors":"Rachit Thukral, Manasi Mishra","doi":"10.1109/ICCCT53315.2021.9711763","DOIUrl":"https://doi.org/10.1109/ICCCT53315.2021.9711763","url":null,"abstract":"The outbreak of COVID-19 led to huge number of security issues and casualties. In order to effectively prevent the spread of COVID-19, wearing mask and contactless thermal scanning has become mandatory. The conventional methods for visitor screening and temperature measurement have become inappropriate in this situation to avoid any contact. The traditional face recognition techniques are also ineffective as wearing mask hides some parts of the face. This paper presents an Intelligent IoT based screening system capable of contactless thermal scanning, mask detection and masked face recognition. The person not following the Covid-19 guidelines will be denied the access inside the premise. The system uses deep-learning based techniques for masked face recognition by discarding masked region. The data collected has been sent to the cloud using custom protocol stack which is lightweight, reliable and efficient for data communication. Using web application and mobile application, the data corresponding to each user can be monitored remotely using internet. The data collected can be shared to healthcare agencies for further analysis.","PeriodicalId":162171,"journal":{"name":"2021 4th International Conference on Computing and Communications Technologies (ICCCT)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129622569","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

Analysis of Spam Detection Using Integration of Logistic Regression and PSO Algorithm 基于逻辑回归和粒子群算法的垃圾邮件检测分析

2021 4th International Conference on Computing and Communications Technologies (ICCCT) Pub Date : 2021-12-16 DOI: 10.1109/ICCCT53315.2021.9711903

A. Ponmalar, K. Rajkumar, Hariharan U, V. Kalaiselvi, S. Deeba

{"title":"Analysis of Spam Detection Using Integration of Logistic Regression and PSO Algorithm","authors":"A. Ponmalar, K. Rajkumar, Hariharan U, V. Kalaiselvi, S. Deeba","doi":"10.1109/ICCCT53315.2021.9711903","DOIUrl":"https://doi.org/10.1109/ICCCT53315.2021.9711903","url":null,"abstract":"Content-based text classification system can automatically categories the text document into predefined limited classes. But the e-mail document classification is a challenging process in the modern internet environment. The e-mail documents are lightly signified in a great dimensional features space, creating a learning process, and the generalization (abstraction) process is problematic. Spam is unsolicited mail, the bulk of spam mails sent by the spammers who use vast e-mail programs to cover their characteristics and send the spam mails every day with no money. The spam mail directs various effects, including exposing unwanted images, decreasing company productivity, blocking Internet Service Providers' (ISP) networks, etc. Additionally, the spam mail contains an infection, which is gotten ready for some fake movement. Newline PSO is mighty in taking care of multivariable issues, where factors take on genuine qualities that are taken as new lines an independent method to arrange the datasets and contemplate the PSO-based Classifier for Multiclass Data Sets. Spam has become the foundation of decisions utilized by digital crooks to spread vindictive payloads, for example, infections and Trojans. Community-oriented spam recognition methods can manage the enormous scope of electronic communication information subsidized through numerous causes, and special issues needing exposure to electronic communication information. Distance-protecting hash standard arrangements utilized to save the security of electronic communication information while empowering mails orders to detect spam recognition. PSO, a Big Data security safeguarding synergistic spam identification stage based on top of a standard Map Reduce office. Without PSO feature selection, the training accuracy would be less. With the help of the best dataset fit, the classification result will be high.","PeriodicalId":162171,"journal":{"name":"2021 4th International Conference on Computing and Communications Technologies (ICCCT)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129758107","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: 2

FARM-A-CATION: A support for farmers FARM-A-CATION:对农民的支持

2021 4th International Conference on Computing and Communications Technologies (ICCCT) Pub Date : 2021-12-16 DOI: 10.1109/ICCCT53315.2021.9711798

V. Kalaiselvi, A. Ponmalar, D. Rani, H. B., Thaarun G Srivatsav

引用次数: 1