2021 3rd International Conference on Signal Processing and Communication (ICPSC)最新文献_第6页

Design and analysis of antenna designs for enhancing bandwidth in circular patch structures 提高圆形贴片结构带宽的天线设计与分析

2021 3rd International Conference on Signal Processing and Communication (ICPSC) Pub Date : 2021-05-13 DOI: 10.1109/ICSPC51351.2021.9451676

Sharon Gladys, T. Neebha, Sherin. F, Roshini Faustina. N, A. R., A. Andrushia

引用次数: 0

Natural Language Processing Enabled Cognitive Disease Prediction Model for Varied Medical Records Implemented over ML Techniques 基于ML技术实现的基于自然语言处理的多种医疗记录认知疾病预测模型

2021 3rd International Conference on Signal Processing and Communication (ICPSC) Pub Date : 2021-05-13 DOI: 10.1109/ICSPC51351.2021.9451785

Vikas Kamra, Praveen Kumar, M. Mohammadian

{"title":"Natural Language Processing Enabled Cognitive Disease Prediction Model for Varied Medical Records Implemented over ML Techniques","authors":"Vikas Kamra, Praveen Kumar, M. Mohammadian","doi":"10.1109/ICSPC51351.2021.9451785","DOIUrl":"https://doi.org/10.1109/ICSPC51351.2021.9451785","url":null,"abstract":"Artificial Intelligence technologies are progressing into fields that were formerly believed to be still the domain of domain analysts. Thanks to recent advances in digital form of information processing, artificial learning, and computational resources, which helped personnel involved in healthcare services in various domains. In certain cases, AI and NLP can handle healthcare functions even well than individuals. One of the area in which machine learning along with natural language processing can work is psychological diseases. Anomalous thinking, emotions, and actions are characteristics of mental illnesses. Aberrant inner interactions and actions that defy social expectations could indicate the existence of a cognitive disease. This research paper proposes a cognitive disease prediction model for psychological disorders like, bipolar disorder, obsessive compulsive disorder, and schizophrenia. In the mainstream medical industry, providing cognitive health treatment entails new ways to treat individuals with mental illnesses. Proposed e-healthcare systems provide an extra layer which helps healthcare professional and patients by saving their time in early diagnosis.","PeriodicalId":182885,"journal":{"name":"2021 3rd International Conference on Signal Processing and Communication (ICPSC)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115859537","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

Reckoning attainable intent for dike with uncharted agitation 以未知的激动来计算堤坝的可实现意图

2021 3rd International Conference on Signal Processing and Communication (ICPSC) Pub Date : 2021-05-13 DOI: 10.1109/ICSPC51351.2021.9451737

M. Kumari, S. Yagamoorthy, S. Giridharan

引用次数: 0

Deep Learning based Disease Detection in Tomatoes 基于深度学习的番茄病害检测

2021 3rd International Conference on Signal Processing and Communication (ICPSC) Pub Date : 2021-05-13 DOI: 10.1109/ICSPC51351.2021.9451731

S. J, Eugine Mary. J, Dikshna. U, Blessy Athisaya Malar, A. Diana Andrushia, T. Neebha

引用次数: 5

Borewell Kid Evacuation System with Zigbee for Long Range Applications 井口儿童疏散系统与Zigbee的远程应用

2021 3rd International Conference on Signal Processing and Communication (ICPSC) Pub Date : 2021-05-13 DOI: 10.1109/ICSPC51351.2021.9451777

A. Balachandar, P. Kumaravel, R. Pradeepraj, M. Gokul, M. Gokulakrishnan, S. Jayalakshmi

{"title":"Borewell Kid Evacuation System with Zigbee for Long Range Applications","authors":"A. Balachandar, P. Kumaravel, R. Pradeepraj, M. Gokul, M. Gokulakrishnan, S. Jayalakshmi","doi":"10.1109/ICSPC51351.2021.9451777","DOIUrl":"https://doi.org/10.1109/ICSPC51351.2021.9451777","url":null,"abstract":"Borewells are a common alternative for those in cities where channelled water cannot satisfy everyone's water needs. A few lakh borewells have been dug, and a large number of them have failed to provide water after burrowing. When the bombed ones are revealed, they will become death traps for unsuspecting children who can quickly slip through the 8 to 10 inch deep gaps. Since 2009, more than 40 children have died as a consequence of dropping down borewells, according to the National Disaster Response Force (NDRF), with salvage attempts struggling at least 70% of the time. It's complicated, time-consuming, and risky to save the abducted infant from the borewells. In the suggested scheme, a movable breadth robot is built to save a small child from a borewell. We help the child by examining him with a camera on a regular basis and supplying vital things including air filler, which offers oxygen for stamina. A response to the present problem is to use a robot to salvage a bore well. This system will tie a saddle to a kid and pick them up with mechanical weapons. It includes an infrared transmitter as well as a beneficiary who determines the child's room size. The air temperature is monitored by a temperature sensor, whereas the existence of some poisonous gas is detected by a gas sensor. The suggested framework would better shield the infant without adding unnecessary harm to the child.","PeriodicalId":182885,"journal":{"name":"2021 3rd International Conference on Signal Processing and Communication (ICPSC)","volume":"100 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117077032","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

Speech Emotion Recognition Using ANN on MFCC Features 基于MFCC特征的神经网络语音情感识别

2021 3rd International Conference on Signal Processing and Communication (ICPSC) Pub Date : 2021-05-13 DOI: 10.1109/ICSPC51351.2021.9451810

Harshit Dolka, Arul Xavier V M, S. Juliet

引用次数: 18

Cloud Computing and Covid-19 云计算与Covid-19

2021 3rd International Conference on Signal Processing and Communication (ICPSC) Pub Date : 2021-05-13 DOI: 10.1109/ICSPC51351.2021.9451792

Raju Singh

引用次数: 3

Implementation of Machine Learning Algorithms For Human Activity Recognition 人类活动识别的机器学习算法实现

2021 3rd International Conference on Signal Processing and Communication (ICPSC) Pub Date : 2021-05-13 DOI: 10.1109/ICSPC51351.2021.9451802

Ankit Vijayvargiya, Nidhi Kumari, Palak Gupta, Rajesh Kumar

{"title":"Implementation of Machine Learning Algorithms For Human Activity Recognition","authors":"Ankit Vijayvargiya, Nidhi Kumari, Palak Gupta, Rajesh Kumar","doi":"10.1109/ICSPC51351.2021.9451802","DOIUrl":"https://doi.org/10.1109/ICSPC51351.2021.9451802","url":null,"abstract":"Human Activity Recognition (HAR) is technically the problem of forecasting an individual’s actions based on evidence of their gesture using sensors functioning as accelerometer and gyroscope. It plays a major role in contrasting sectors such as personal biometric signature, daily life monitoring, anti-terrorists along with anti-crime securities, medical-related applications, and so on. These days, smart phones are well-resourced with leading processors and built-in sensors. This comes up with the possibility to unfold a new arena of data mining. This paper signifies the analysis of HAR focused on data composed via accelerometer sensors of smart phones. Further, it illustrates the use of time-domain features which are acquired with the help of a windowing approach termed as overlapping. It is accompanied by a window size of 250ms along with overlapping of 25%. Numerous machine learning classifiers such as k-nearest neighbors, linear discriminant analysis, bagging classifier, gradient boosting classifier, decision tree, random forest, and support vector machine using three different kernels were practiced. The outcomes exhibit that random forest with 5-fold cross-validation imparts the highest accuracy (92.71%) in recognition of human activities.","PeriodicalId":182885,"journal":{"name":"2021 3rd International Conference on Signal Processing and Communication (ICPSC)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114601868","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: 5

AI-based Detection of Pest Infected Crop and Leaf 基于人工智能的病虫害作物及叶片检测

2021 3rd International Conference on Signal Processing and Communication (ICPSC) Pub Date : 2021-05-13 DOI: 10.1109/ICSPC51351.2021.9451698

Mustafa Ahmed, T. Mahajan, Bhupender Datt Sharma, Mahendra Kumar, S. Singh

引用次数: 1

Simulation analysis of UV –A band LEDs with BGaN single quantum well using SiC substrate for medical applications 医用SiC衬底BGaN单量子阱UV -A波段led的仿真分析

2021 3rd International Conference on Signal Processing and Communication (ICPSC) Pub Date : 2021-05-13 DOI: 10.1109/ICSPC51351.2021.9451764

M. Manikandan, D. Nirmal, G. Dhivyasri, L. Arivahagan, J. Ajayan, R. Chandru, K. Rajeshwaran

引用次数: 0