Proceedings of the First International Conference on Computing, Communication and Control System, I3CAC 2021, 7-8 June 2021, Bharath University, Chennai, India最新文献

Estimation of the ambit of breast cancer with a modified ResNet analysis using machine learning approach 使用机器学习方法的改进ResNet分析估计乳腺癌的范围

Proceedings of the First International Conference on Computing, Communication and Control System, I3CAC 2021, 7-8 June 2021, Bharath University, Chennai, India Pub Date : 2021-11-29 DOI: 10.4108/EAI.7-6-2021.2308600

K. NarayanappaC, R. PoornimaG, Basavaraj Hiremath

{"title":"Estimation of the ambit of breast cancer with a modified ResNet analysis using machine learning approach","authors":"K. NarayanappaC, R. PoornimaG, Basavaraj Hiremath","doi":"10.4108/EAI.7-6-2021.2308600","DOIUrl":"https://doi.org/10.4108/EAI.7-6-2021.2308600","url":null,"abstract":"Breast Cancer has been one of the most common reasons for mortality and morbidity among the females around the world especially in developing countries. In this regard, Mammography is a popular screening technique for breast cancer diagnosis so as to label the existence of cancerous cells. The present work encompasses the design and development of a M-ResNet (Modified ResNet) approach so as to classify the breast cancer into benign and malignant conditions with the inclusions for supervised classification models with the training of both upper as well as the lower layers of the designed networks. The efficacy of the developed approach was evaluated using various performance evaluators such as those of sensitivity, specificity, accuracy and F1-Score. Bi-Rads score was used as a basis for the classification process wherein a score of 0-3 correlated to benign and it is non-cancerous nature of tissues whereas malignancy was denoted by a score of 4 and above. InBreast dataset, a publicly available online dataset with 112 breast images were used for the evaluation of the developed paradigm. The present paradigm portrayed an accuracy of 96.43% with Area Under the Curve (AUC) of 95.63%.","PeriodicalId":422301,"journal":{"name":"Proceedings of the First International Conference on Computing, Communication and Control System, I3CAC 2021, 7-8 June 2021, Bharath University, Chennai, India","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115427916","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

Contemporary Concerns Impacting Higher Technical Education 影响高等技术教育的当代问题

Proceedings of the First International Conference on Computing, Communication and Control System, I3CAC 2021, 7-8 June 2021, Bharath University, Chennai, India Pub Date : 2021-06-04 DOI: 10.4108/EAI.7-6-2021.2308615

G. Rathidevi, Dr. G. Brindha

引用次数: 0

Hardware Implementation of Hybrid Renewable Energy Source for Integrated Fed Micro-Grid 集成Fed微电网混合可再生能源的硬件实现

Proceedings of the First International Conference on Computing, Communication and Control System, I3CAC 2021, 7-8 June 2021, Bharath University, Chennai, India Pub Date : 2021-06-04 DOI: 10.4108/EAI.7-6-2021.2308632

B. Pattanaik, Dr.K. Sakthivel, Dr. S. Priya

{"title":"Hardware Implementation of Hybrid Renewable Energy Source for Integrated Fed Micro-Grid","authors":"B. Pattanaik, Dr.K. Sakthivel, Dr. S. Priya","doi":"10.4108/EAI.7-6-2021.2308632","DOIUrl":"https://doi.org/10.4108/EAI.7-6-2021.2308632","url":null,"abstract":"Because of the rapid development progress of Power natural philosophy strategies, applications with electrical phenomenon (PV) power and wind generation are swollen basically the employment of sun supercharged And wind energies severally wouldn't offer an immersed yield voltage that the solar power and Wind energy square measure consolidated can improve the characteristics of every alternative. To diminish the ability demand on the normal power age space, we have a tendency to propose this method. Various ways square measure by and by for age of intensity utilizing SolarWind Hybrid System with most electrical outlet pursuit (MPPT). Steady voltage strategy is used for much extreme power exchange. This strategy has to be compelled to have some key highlights to create the potency. Above all this article proposes a completely unique technique for implementing MPPT controller in our hybrid renewable energy generation system known as FLC rule for higher potency than alternative strategies. The higher than explained system is intended and modeled for output results were obtained.","PeriodicalId":422301,"journal":{"name":"Proceedings of the First International Conference on Computing, Communication and Control System, I3CAC 2021, 7-8 June 2021, Bharath University, Chennai, India","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114588031","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

A Novel Computational Rough Set Based Feature Extraction For Heart Disease Analysis 一种新的基于计算粗糙集的心脏病分析特征提取方法

Proceedings of the First International Conference on Computing, Communication and Control System, I3CAC 2021, 7-8 June 2021, Bharath University, Chennai, India Pub Date : 2021-06-04 DOI: 10.4108/EAI.7-6-2021.2308575

Dr. R. Prabha, G. Senthil, Dr. A. Lazha, D. Vijendrababu, Ms. D. Roopa

{"title":"A Novel Computational Rough Set Based Feature Extraction For Heart Disease Analysis","authors":"Dr. R. Prabha, G. Senthil, Dr. A. Lazha, D. Vijendrababu, Ms. D. Roopa","doi":"10.4108/EAI.7-6-2021.2308575","DOIUrl":"https://doi.org/10.4108/EAI.7-6-2021.2308575","url":null,"abstract":"Cardiovascular disease is the most difficult disease to diagnose in the medical field. The diagnosis is often contingent on a judgment based on the grouping of vast amounts of clinical and pathological data. As a result of this complication, a number of researchers have based their efforts on determining the most cost-effective and accurate way to predict heart disease.In the case of heart disease, an accurate diagnosis at an early stage is critical, since time is of the essence when heart disease is detected at an inopportune time. Machine learning has evolved in recent years with a plethora of accurate and supporting resources in the medical domain, and it has offered the best support for predicting disease with proper training and research. The main goal of this study is to use a rough computational intelligence approach to find specific heart disease features among a large number of features. The output of the proposed feature selection method outperforms that of conventional feature selection approaches. The rough computation approach's output is evaluated using various heart disease data sets and checked using real-time data sets.","PeriodicalId":422301,"journal":{"name":"Proceedings of the First International Conference on Computing, Communication and Control System, I3CAC 2021, 7-8 June 2021, Bharath University, Chennai, India","volume":"99 7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116260021","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: 4

The Ethnolinguistic Vitality of the Dumagat Communities in Three Philippine Provinces 菲律宾三省杜马加特社区的民族语言活力

Proceedings of the First International Conference on Computing, Communication and Control System, I3CAC 2021, 7-8 June 2021, Bharath University, Chennai, India Pub Date : 2021-06-04 DOI: 10.4108/EAI.7-6-2021.2308597

Romualdo Mabuan

{"title":"The Ethnolinguistic Vitality of the Dumagat Communities in Three Philippine Provinces","authors":"Romualdo Mabuan","doi":"10.4108/EAI.7-6-2021.2308597","DOIUrl":"https://doi.org/10.4108/EAI.7-6-2021.2308597","url":null,"abstract":". This paper presents the findings of sociolinguistic research conducted between 2013 and 2015 among the Dumagat indigenous communities in Aurora, Bulacan, and Quezon Province. The primary goal of the study is to investigate the factors that account for the ethnolinguistic vitality of these communities. Employing qualitative techniques, data were gathered using interviews, participant observation, and focus group discussions (FGDs). Interview data were analysed using the nine criteria of language vitality and endangerment outlined in the UNESCO Expert Meeting in March, 2003 and were triangulated by the data gathered from participant observation and FGDs. Results reveal varying levels of language vitality among these Dumagat communities as influenced by factors that include social factors (social stigma, exogamy or external marriage, and migration patterns), institutional factors (governmental policies, support, and reforms), and linguistic factors (language contact, linguistic attitude, and language use). These findings situate these indigenous communities in the continuum of language reinvigoration and revitalization and implicate inter-level agencies to design feasible framework to document, cultivate, and protect this indigenous language for future generations of these IP communities.","PeriodicalId":422301,"journal":{"name":"Proceedings of the First International Conference on Computing, Communication and Control System, I3CAC 2021, 7-8 June 2021, Bharath University, Chennai, India","volume":"145 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126982190","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

Glaucoma and diabetic retinopathy diagnosis using image mining 青光眼和糖尿病视网膜病变的图像挖掘诊断

Proceedings of the First International Conference on Computing, Communication and Control System, I3CAC 2021, 7-8 June 2021, Bharath University, Chennai, India Pub Date : 2021-06-04 DOI: 10.4108/EAI.7-6-2021.2308568

B. Baiju, V. Sharmila, B. Muthuraj, M. Abdulhasan, Mahendar

{"title":"Glaucoma and diabetic retinopathy diagnosis using image mining","authors":"B. Baiju, V. Sharmila, B. Muthuraj, M. Abdulhasan, Mahendar","doi":"10.4108/EAI.7-6-2021.2308568","DOIUrl":"https://doi.org/10.4108/EAI.7-6-2021.2308568","url":null,"abstract":"Diabetes is an overall unavoidable sickness that can cause recognizable microvascular complexities like diabetic retinopathy and macular edema in the normal eye retina, the pictures of which are today used for manual disease screening and assurance. This work genuine task could inconceivably productive by customized acknowledgment using a Deep learning methodology. Here we present a profound learning structure that perceives referable diabetic retinopathy comparably or better than presented in the past investigations. The proposed strategy evades the need of sore division or applicant map age before the arrangement stage. Neighbourhood parallel examples and granulometric profiles are privately registered to extricate surface and morphological data from retinal images. Various blends of this data feed arrangement calculations to ideally separate brilliant and dark lesions from solid tissues. These outcomes propose, radial basis function in classification could build the expense viability of screening and finding, while at the same time accomplishing higher than suggested execution, and that the framework could be applied in clinical assessments requiring better reviewing.","PeriodicalId":422301,"journal":{"name":"Proceedings of the First International Conference on Computing, Communication and Control System, I3CAC 2021, 7-8 June 2021, Bharath University, Chennai, India","volume":"106 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115757815","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

Traffic Prediction System Using Machine Learning Algorithms 基于机器学习算法的交通预测系统

Proceedings of the First International Conference on Computing, Communication and Control System, I3CAC 2021, 7-8 June 2021, Bharath University, Chennai, India Pub Date : 2021-06-04 DOI: 10.4108/EAI.7-6-2021.2308860

N. Ramchandra, C. Rajabhushanam

引用次数: 1

Study Analysis of IoT in FMCG Smart Tags and their Significance in Counterfeit Prevention 快速消费品智能标签中的物联网研究分析及其防伪意义

Proceedings of the First International Conference on Computing, Communication and Control System, I3CAC 2021, 7-8 June 2021, Bharath University, Chennai, India Pub Date : 2021-06-04 DOI: 10.4108/EAI.7-6-2021.2308798

K. Janardhana, Razmah Mahaboobjan, M. Vijayaragavan, K. Vinoth, N. Kanagavalli

{"title":"Study Analysis of IoT in FMCG Smart Tags and their Significance in Counterfeit Prevention","authors":"K. Janardhana, Razmah Mahaboobjan, M. Vijayaragavan, K. Vinoth, N. Kanagavalli","doi":"10.4108/EAI.7-6-2021.2308798","DOIUrl":"https://doi.org/10.4108/EAI.7-6-2021.2308798","url":null,"abstract":"Current study portrays a novel method for counterfeit prevention and brand security in the FMCG business. The introduced approach consolidates Internet of Things, Cloud, and Mobile advancements with the utilization of specially crafted savvy labels (smart tags) applied to each product to give track and follow capacities. The smart labels join QR code with extra data printed with an imperceptible photochromatic ink. The labels are enacted by spotlight on cell phones during the checking. Prior to checking, clients are provoked to choose the setting of the products (available, sold, and consumed) to give extra data about each product container as it travels through the inventory network. Consumer family types reveals essential information on family types and roles in selecting the product for purchasing. The statistical analysis of family type is 84.7 and 15.2 percentage (out of 354 members) in nuclear and joint family respectively. Awareness percentage on smart tags is 49.15, 32.17 and 18.07 percentage in consumer awareness, unaware and may be respectively. Analysis of fake products identification on smart tags is 53.67, 27.96 and 18.36 percentage in consumer identification, unidentified, and may be respectively. Counterfeit information on products identification on smart tags is 97.74, 2.259 percentage in counterfeit information obtained by consumer is higher than not obtained consumers. Analysis of benefit percentage on products is 94.63, 5.37 percentage in benefit percentage is higher than nonobtained consumers. Likeliness of IoT Smart Tags on products is 76.28, 23.72 percentage (out of 354 members) in interested percentage is higher than not interested consumers.","PeriodicalId":422301,"journal":{"name":"Proceedings of the First International Conference on Computing, Communication and Control System, I3CAC 2021, 7-8 June 2021, Bharath University, Chennai, India","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131349098","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 Interactive E-Tool for Maintaining and Monitoring Medical Records using Blockchain Technology 使用区块链技术维护和监控医疗记录的交互式电子工具

Proceedings of the First International Conference on Computing, Communication and Control System, I3CAC 2021, 7-8 June 2021, Bharath University, Chennai, India Pub Date : 2021-06-04 DOI: 10.4108/EAI.7-6-2021.2308572

S. Priya, M.Muni Prasanna Kumar, A. Reshma, K. Sahana

{"title":"An Interactive E-Tool for Maintaining and Monitoring Medical Records using Blockchain Technology","authors":"S. Priya, M.Muni Prasanna Kumar, A. Reshma, K. Sahana","doi":"10.4108/EAI.7-6-2021.2308572","DOIUrl":"https://doi.org/10.4108/EAI.7-6-2021.2308572","url":null,"abstract":". Healthcare has become one of India’s largest sectors. The growing concern is to find the right doctor and adhere to medication as prescribed. This brings the necessity for a medium where one could find doctors and book appointments for consultation. The proposed system provides a medium to discover doctors under certain specializations sorted based on user reviews, location, and availability and book appointments for consultation. The doctor will be able to fill in a form replacing the traditional paper prescriptions that can be accessed by the patient at any time. All the other medical reports can also be stored in this application which will be secured with a password known only to the patient. For editing a prescription given, two passwords: 1 - Patient, 1- Doctor will have to be used. In addition to password protection, storing the records through blockchain will ensure data integrity and provide more security. This system also provides a way to make patients get alerted for taking pills, for next reviews, tests to be taken, and surgery dates. These reminders can be very useful to elderly people to ensure medication adherence. This application also comes with some additional features like an emergency button, tapping which a call will be connected to the Doctor.","PeriodicalId":422301,"journal":{"name":"Proceedings of the First International Conference on Computing, Communication and Control System, I3CAC 2021, 7-8 June 2021, Bharath University, Chennai, India","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121824736","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

Early Strokes Detection of Patient and Health Monitoring System Based On Data Analytics Using K-Means Algorithm 基于K-Means算法的患者早期中风检测及健康监测系统

Proceedings of the First International Conference on Computing, Communication and Control System, I3CAC 2021, 7-8 June 2021, Bharath University, Chennai, India Pub Date : 2021-06-04 DOI: 10.4108/EAI.7-6-2021.2308790

S. Menaka, N. Bharathiraja, B. Alekhya, R. Sasikumar

{"title":"Early Strokes Detection of Patient and Health Monitoring System Based On Data Analytics Using K-Means Algorithm","authors":"S. Menaka, N. Bharathiraja, B. Alekhya, R. Sasikumar","doi":"10.4108/EAI.7-6-2021.2308790","DOIUrl":"https://doi.org/10.4108/EAI.7-6-2021.2308790","url":null,"abstract":". The processing chain of scientific information in particular consists of information series, information storage, data sharing, and records evaluation. In the prevailing device, there is lots of improvisation wished for our health care device. The existing technique our affected person monitoring is a guide and time-consuming process. To conquer the task the proposed work proposed actual data series from sensors, IoT-primarily based totally sharing, and information analytics. This proposed device gives the gain for the respective medical doctor to display the affected person's health 24*7 regardless of geographical location. Example: The medical doctor can display the affected person's health even after the affected person receives discharged. This proposed work implies a health sensor named heartbeat sensor to display affected person fitness. The affected person information is monitoring through the sensorsand transmitted to the Arduino. The actual-time statistics from the COM port have acquired the usage of Net beans and stored in an SQL database. The actual-time information may be monitored with the aid of using each affected person and medical doctor. The real-time statistics are processed from Net beans as datasheet to R programming for statistical evaluation. For Clustering, we use the K-Means algorithm and for Classification, we use the Support Vector Machine. Also relying on the affected person's health situations emergency pills or injections are counseled routinely with the aid of using our device. Also, the affected person statistics have encrypted the usage of an ABE (Attribute-based Encryption) set of rules and saved in the public cloud particularly Dropbox. Thus invoking the statistics evaluation approach facilitates in identifying early stroke in the sufferers and offer medicinal diagnosis immediately.","PeriodicalId":422301,"journal":{"name":"Proceedings of the First International Conference on Computing, Communication and Control System, I3CAC 2021, 7-8 June 2021, Bharath University, Chennai, India","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125252432","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