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

Monitoring and Controlling The Fuel Injection In Molding Machine By Using SCADA and PLC 利用SCADA和PLC对注塑机燃油喷射进行监控

2021 3rd International Conference on Signal Processing and Communication (ICPSC) Pub Date : 2021-05-13 DOI: 10.1109/ICSPC51351.2021.9451674

D. Gayathri, R. Dinesh, T. Dharanidharan

引用次数: 0

An Efficient Approach for Interpretation of Indian Sign Language using Machine Learning 一种使用机器学习的高效印度手语翻译方法

2021 3rd International Conference on Signal Processing and Communication (ICPSC) Pub Date : 2021-05-13 DOI: 10.1109/ICSPC51351.2021.9451692

Dhivyasri S, Krishnaa Hari K B, A. M, S. M, Divyapriya S, K. V

引用次数: 6

Video Frame-Based Deep Learning Face Detection-A Review 基于视频帧的深度学习人脸检测综述

2021 3rd International Conference on Signal Processing and Communication (ICPSC) Pub Date : 2021-05-13 DOI: 10.1109/ICSPC51351.2021.9451782

M. Krishnaraj, R. Jeberson Retna Raj

{"title":"Video Frame-Based Deep Learning Face Detection-A Review","authors":"M. Krishnaraj, R. Jeberson Retna Raj","doi":"10.1109/ICSPC51351.2021.9451782","DOIUrl":"https://doi.org/10.1109/ICSPC51351.2021.9451782","url":null,"abstract":"Face detection is hotly discussed issues in computer vision, not just because of the difficult nature of the face as an object, mostly because of the numerous implementations that require the incremental approach of the face detection program. Important progress has been made over the last 15 years due to the accessibility of data in unrestricted capturing situations (so-called' in-the-wild through the Internet, the public's initiative to establish freely accessible standards, and even success in creating robust machine vision algorithms). Because of the explosive increase of video content, the face detection issue has attracted extensive interest among researchers. In this study, we look at the most recent advancements in real-world face detectors, beginning with the technique of the pioneering Viola-Jones face detector. This strategies are classified into two sections: rigid structures, which are taught primarily via strategies based on deep learning that are boosted or implemented, and deformable structures, which are defined by their elements and characterize the face. Fair representation techniques will be outlined in detail, as well as a few other efficient strategies that will be discussed shortly after the end. Finally, the most important resources for analyzing face detection algorithms and recent optimization efforts are addressed, as well as the potential of face detection.","PeriodicalId":182885,"journal":{"name":"2021 3rd International Conference on Signal Processing and Communication (ICPSC)","volume":"26 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":"117256793","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

Intelligent Health Assessment System for Paddy Crop Using CNN 基于CNN的水稻田作物健康智能评估系统

2021 3rd International Conference on Signal Processing and Communication (ICPSC) Pub Date : 2021-05-13 DOI: 10.1109/ICSPC51351.2021.9451644

Pagadala Rohit Sai Sankar, Siva RamaKrishna D.P.S, Mutyala Mani Venkata Rakesh, P. Raja, Vinh Truong Hoang, Cezary Szczepański

引用次数: 4

Anti-Spoofing Face-Recognition Technique for eKYC Application eKYC应用中的抗欺骗人脸识别技术

2021 3rd International Conference on Signal Processing and Communication (ICPSC) Pub Date : 2021-05-13 DOI: 10.1109/ICSPC51351.2021.9451703

Sudarshan Paul, P. Bruntha, A. Raj, Saurabh Saurabh, Samarpit Masih

引用次数: 1

Advanced Video Surveillance System 先进视频监控系统

2021 3rd International Conference on Signal Processing and Communication (ICPSC) Pub Date : 2021-05-13 DOI: 10.1109/ICSPC51351.2021.9451694

A. Krishna, Neha Pendkar, Shruti Kasar, Umesh Mahind, Shridhar Desai

引用次数: 2

Lung – Pleura Carcinoma Detection Using Machine Learning 肺胸膜癌的机器学习检测

2021 3rd International Conference on Signal Processing and Communication (ICPSC) Pub Date : 2021-05-13 DOI: 10.1109/ICSPC51351.2021.9451769

S. K, Kavethanjali V, P. S, Vasanthapriya V

引用次数: 0

IoT Based Coal Mine Safety and Health Monitoring System using LoRaWAN 基于物联网的LoRaWAN煤矿安全健康监测系统

2021 3rd International Conference on Signal Processing and Communication (ICPSC) Pub Date : 2021-05-13 DOI: 10.1109/ICSPC51351.2021.9451673

T. Porselvi, S. Cs, Janaki B, Priyadarshini K, Shajitha Begam S

{"title":"IoT Based Coal Mine Safety and Health Monitoring System using LoRaWAN","authors":"T. Porselvi, S. Cs, Janaki B, Priyadarshini K, Shajitha Begam S","doi":"10.1109/ICSPC51351.2021.9451673","DOIUrl":"https://doi.org/10.1109/ICSPC51351.2021.9451673","url":null,"abstract":"Today, the safety of miner workers is a significant challenge. Miner’s health and life are helpless against a few basic issues, which incorporates the working environment, yet in addition its delayed consequence. To extent profitability and diminish the expense of mining alongside the thought of the safety of miners, a creative and innovative methodology is required. The proposed system comprises of two sections one to monitor the mineworker status and another one is the total monitoring section. In the mine laborer area, air contamination is primarily due to the outflows because of emissions of particulate matter and gases incorporate such as Sulphur dioxide (SO2), Nitrogen dioxide (NO2), Carbon monoxide (CO) and so forth we are utilizing two smoke sensors to monitor the diverse type of smoke level in the mine. To monitor the concentration level of unsafe gases, semiconductor gas sensors are utilized. If any smoke sensor value goes beyond the threshold range at that point the microcontroller will allow an alert to the person through a buzzer and sends the information to the monitoring section through the LoRaWAN module and in the monitor received data will be uploaded in the webpage through IoT. LoRaWAN is a media access control(MAC) and multi-point protocol for wide range networks. It enables lowpowered devices to communicate with Internet of Things (IoT) applications over long-run remote connections. LoRaWAN uses lower radio frequencies with a longer range. The LoRaWAN is a low-power, wide area networking (LPWAN) protocol based on LoRa Technology. LoRaWAN is highly considerable for its optimizing LPWAN for its range, battery capacity, durability, and cost-efficient. In underground mining, there are various factors due to which miners tumble down and lose consciousness. To overcome this issue, the system gives a crisis alarm to the supervisor using the LoRaWAN module if an individual falls somewhere by any reason.","PeriodicalId":182885,"journal":{"name":"2021 3rd International Conference on Signal Processing and Communication (ICPSC)","volume":"88 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":"122944894","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: 37

An Efficient Approach for Automatic detection of COVID-19 using Transfer Learning from Chest X-Ray Images 基于胸部x线图像迁移学习的新型冠状病毒肺炎自动检测方法

2021 3rd International Conference on Signal Processing and Communication (ICPSC) Pub Date : 2021-05-13 DOI: 10.1109/ICSPC51351.2021.9451819

R. Priyatharshini, R. Aswath, M. Sreenidhi, Samyuktha S. Joshi, Reshmika Dhandapani

{"title":"An Efficient Approach for Automatic detection of COVID-19 using Transfer Learning from Chest X-Ray Images","authors":"R. Priyatharshini, R. Aswath, M. Sreenidhi, Samyuktha S. Joshi, Reshmika Dhandapani","doi":"10.1109/ICSPC51351.2021.9451819","DOIUrl":"https://doi.org/10.1109/ICSPC51351.2021.9451819","url":null,"abstract":"The coronavirus disease 2019 (covid 19), which was declared a pandemic by the World Health Organization (WHO) in December, causes significant alveolar damage and progressive respiratory failure, resulting in death. The only laboratory technique available, RT–PCR, has an accuracy of about 73 percent. Medical specialists may benefit from early detection using CXR. Using deep convolutional neural network architecture, we propose a Com-puter Aided Diagnosis (CADx) for the diagnosis of coronavirus disease 2019.The chest x-ray dataset is used for testing and training of neural networks. The CXR images are segmented using a U net model, and the segmented image is then used to train a classification model using the Inception v3 model, which distinguishes covid 19 from pneumococcal records and safe records. Training of inception v3 is done with different resolutions of Chest X-rays (CXR) and for further optimization adam optimizer is used. This model produces high computational efficiency with an accuracy of 0.97 per-cent. Based on the promising results obtained the proposed method can be used for effective diagnosis of covid 19 during this pandemic.","PeriodicalId":182885,"journal":{"name":"2021 3rd International Conference on Signal Processing and Communication (ICPSC)","volume":"32 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":"123003727","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

Effectiveness of AI Techniques for the Classification of Alzheimer’s Disease – A Review 人工智能技术在阿尔茨海默病分类中的有效性综述

2021 3rd International Conference on Signal Processing and Communication (ICPSC) Pub Date : 2021-05-13 DOI: 10.1109/ICSPC51351.2021.9451778

N. M., R. J

引用次数: 0