2022 Second International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT)最新文献_第6页

An Enhanced Energy Efficient Protocol for Wireless Body Area Network 一种增强的无线体域网节能协议

2022 Second International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT) Pub Date : 2022-04-21 DOI: 10.1109/ICAECT54875.2022.9807836

Smita Sagar Gupta, N. Gupta, B. Verma

引用次数: 3

Importance of Initialization in K-Means Clustering 初始化在k均值聚类中的重要性

2022 Second International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT) Pub Date : 2022-04-21 DOI: 10.1109/ICAECT54875.2022.9807996

Anubhav Gupta, Antriksh Tomer, S. Dahiya

引用次数: 0

Analysis of myocardial infarction in CMR images using hybrid level set based segmentation and regional ventricle contractility analysis 基于混合水平集分割和区域心室收缩力分析的CMR图像心肌梗死分析

2022 Second International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT) Pub Date : 2022-04-21 DOI: 10.1109/ICAECT54875.2022.9807938

M. Muthulakshmi, G. Kavitha

引用次数: 0

Blood pressure measurement system visualized through a mobile application 通过移动应用程序可视化血压测量系统

2022 Second International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT) Pub Date : 2022-04-21 DOI: 10.1109/ICAECT54875.2022.9807902

R. Perez-Siguas, H. Matta-Solis, E. Matta-Solis, Lourdes Matta-Zamudio

{"title":"Blood pressure measurement system visualized through a mobile application","authors":"R. Perez-Siguas, H. Matta-Solis, E. Matta-Solis, Lourdes Matta-Zamudio","doi":"10.1109/ICAECT54875.2022.9807902","DOIUrl":"https://doi.org/10.1109/ICAECT54875.2022.9807902","url":null,"abstract":"COVID19 proved a devastating threat to human society in terms of health, economy, and lifestyle. It quickly spread around the world and caused many governments to close their borders and declare a general quarantine at the national level sending everyone home, with this they changed the lifestyle of many people because they lost the mobility of moving from one place to another. This has led to people somehow losing physical activity and the fear of moving on public roads. According to the World Health Organization (WHO), physical inactivity is the fourth risk factor for global mortality since it generates 3.2 million deaths annually, this is worrying since people do not perform any physical activity. In view of this problem, in this article a blood pressure measurement system was made visualized through a mobile application, in such a way that it can help to observe if they have a stable or high blood pressure, with this, it will be possible to diagnose if a person can present hypertension and prevent them from suffering from any cardiovascular disease. Through the design of the blood pressure measurement system, it was possible to observe that the operation was done correctly, the sensor makes the corresponding measurements and classifies it according to the measurement made, all this is visualized through a mobile application, showing if the person presents a normal or elevated pressure.","PeriodicalId":346658,"journal":{"name":"2022 Second International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114882735","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

Renal Calculi Detection using Image Processing 利用图像处理技术检测肾结石

2022 Second International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT) Pub Date : 2022-04-21 DOI: 10.1109/ICAECT54875.2022.9807961

Govind Raj R, Riya Cyriac, D. Pamela, P. Manimegalai, Prawin Angel Michael

引用次数: 0

Reduction of Gaussian noise from Computed Tomography Images using Optimized Bilateral Filter by Enhanced Grasshopper Algorithm 基于增强Grasshopper算法的优化双边滤波器对ct图像高斯噪声的降噪

2022 Second International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT) Pub Date : 2022-04-21 DOI: 10.1109/ICAECT54875.2022.9808017

Devanand Bhonsle, Jaspal Bagga, S K Mishra, Chandrahas Sahu, Varsha Sahu, Ashutosh Mishra

引用次数: 0

Comparison of Performance of Machine Learning Algorithms for Cervical Cancer Classification 宫颈癌分类的机器学习算法性能比较

2022 Second International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT) Pub Date : 2022-04-21 DOI: 10.1109/ICAECT54875.2022.9807849

Hamza Karani, Ashish Gangurde, G. Dhumal, Waidehi Gautam, Samiksha Hiran, Abha Marathe

{"title":"Comparison of Performance of Machine Learning Algorithms for Cervical Cancer Classification","authors":"Hamza Karani, Ashish Gangurde, G. Dhumal, Waidehi Gautam, Samiksha Hiran, Abha Marathe","doi":"10.1109/ICAECT54875.2022.9807849","DOIUrl":"https://doi.org/10.1109/ICAECT54875.2022.9807849","url":null,"abstract":"Cervical cancer, which is the fourth leading cause of mortality among women, displays no symptoms in its early stages. Cervical cancer is currently diagnosed using only a few approaches using Machine Learning techniques. Certain approaches such as PAP Test, HPV Test, Colposcopy and Biopsy require medical staff intervention and cancer is not detected until a certain stage is reached. These procedures are also too costly in developing countries. Detection of Cervical Cancer using Machine Learning and Deep Learning techniques come into play to solve this issue. A few to name are: CervDetect[1], a hybridized model using a combination of Random Forest and Shallow Neural Networks, ResNet50 – A Convolutional Neural Network’s pre-trained model works effectively on classification of cervical cancer cells using images. This research paper experiments and analyses two Support Vector Machine (SVM) techniques as well as K-Nearest Neighbor (KNN), Random Forest(RF), Logistic Regression and Gaussian Naïve Bayes (GNB) algorithms for cervical cancer diagnosis. The dataset used is Cervical cancer (Risk Factors) Data Set from UCI Repository[2] . There are 32 risk factors and four target variables in cervical cancer dataset: Citology, Hinselmann, Schiller and Biopsy. The two SVM-based techniques namely SVM Linear and SVM Radial, KNN, RF, Logistic Regression and GNB have diagnosed and categorized all four targets respectively. Following that, a comparison between these six methods is done and inferences are drawn on which algorithm performs better on each of the targets.","PeriodicalId":346658,"journal":{"name":"2022 Second International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123961881","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

Video Captioning based on Image Captioning as Subsidiary Content 基于图像字幕作为辅助内容的视频字幕

2022 Second International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT) Pub Date : 2022-04-21 DOI: 10.1109/ICAECT54875.2022.9807935

J. Vaishnavi, V. Narmatha

{"title":"Video Captioning based on Image Captioning as Subsidiary Content","authors":"J. Vaishnavi, V. Narmatha","doi":"10.1109/ICAECT54875.2022.9807935","DOIUrl":"https://doi.org/10.1109/ICAECT54875.2022.9807935","url":null,"abstract":"Video captioning is the more heuristic task of the combination of computer vision and Natural language processing while researchers are concentrated more in video related tasks. Dense video captioning is still considering the more challenging task as it needs to consider every event occurs in the video and provide optimal captions separately for all the events presents in the video with high diversity. Captioning process with less corpus leads to less performance. To avoid such issues, our proposed model constructed with the option of generating captions with high diversity. Image captions are taken as subsidiary content to enlarge the diversity for captioning the videos. Attention mechanism is utilized for the generation process. Generator and three different discriminators are utilized to contribute an appropriate caption which enriches the captioning process. ActivityNet caption dataset is used to demonstrate the proposed model. Microsoft coco image dataset is considered as subsidiary content for captioning. The benchmark metrics BLEU and METEOR are used to estimate the performance of the proposed model.","PeriodicalId":346658,"journal":{"name":"2022 Second International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124994815","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

Comparative Analysis of Optimal Capacitor Placement and D-STATCOM towards Power Consumption and Power Loss Minimization 优化电容器布局与D-STATCOM对功耗和功耗最小化的比较分析

2022 Second International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT) Pub Date : 2022-04-21 DOI: 10.1109/ICAECT54875.2022.9807895

R. Sahu, Baidyanath Bag, Neha Smitha Lakra

引用次数: 1

Effective Classification Of Ibm Hr Analytics Employee Attrition Using Sampling Techniques 使用抽样技术对Ibm Hr Analytics员工流失进行有效分类

2022 Second International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT) Pub Date : 2022-04-21 DOI: 10.1109/ICAECT54875.2022.9808057

Juhi Padmaja P, Vinoodhini D, Uma K. V

引用次数: 0