2022 10th International Conference on Emerging Trends in Engineering and Technology - Signal and Information Processing (ICETET-SIP-22)最新文献_第9页

Loitering Detection in Home Surveillance System 家庭监控系统中的游荡者检测

2022 10th International Conference on Emerging Trends in Engineering and Technology - Signal and Information Processing (ICETET-SIP-22) Pub Date : 2022-04-29 DOI: 10.1109/ICETET-SIP-2254415.2022.9791651

S. M, Gunasundari S, S. Bharathy

{"title":"Loitering Detection in Home Surveillance System","authors":"S. M, Gunasundari S, S. Bharathy","doi":"10.1109/ICETET-SIP-2254415.2022.9791651","DOIUrl":"https://doi.org/10.1109/ICETET-SIP-2254415.2022.9791651","url":null,"abstract":"An automated system which recognizes human action from continuous videos, though seem like a work of fiction, is possible now due to the magnificent increase in processing power and improvements in the field of automated analysis. Human Action Recognition (HAR) has a wide range of applications in fields of Gaming, Animation, Assisted Living and Surveillance etc. The home surveillance systems are easily available for anyone to use, the surveillance camera records video 24/7, reviewing the same to find out malicious activity will be a time critical work, the proposed method focuses on creating a system which looks for the loitering action in home surveillance videos and records the loiterer information in a file with the photo identity of the loiter. Loitering is an action that is defined as walking around for no obvious reason. In a home environment, if a random person seems to be walking around the house, then it is a suspicious activity, which needs to be addressed. The proposed system uses YOLOv3 (You Only Look Once) for identifying the person of interest and loitering is tracked using DeepSORT (Simple Online Real Time Tracking), Once the loiterer is identified and tracked, his face is captured by using the Haar Cascade algorithm and stored in for future reference. People who have installed home surveillance CCTV system can use this to system to identify loiterers.","PeriodicalId":117229,"journal":{"name":"2022 10th International Conference on Emerging Trends in Engineering and Technology - Signal and Information Processing (ICETET-SIP-22)","volume":"108 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123326654","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

Deep Learning based Surveillance system for Tracking unknown Faces and Movements 基于深度学习的监控系统，用于跟踪未知的面孔和动作

2022 10th International Conference on Emerging Trends in Engineering and Technology - Signal and Information Processing (ICETET-SIP-22) Pub Date : 2022-04-29 DOI: 10.1109/ICETET-SIP-2254415.2022.9791696

Asha Nandi, Vyomender Mehta, Rani Jairaj, Dhiraj Charan, Sandeep Kumar Sharma

引用次数: 0

Development of Geriatric Rehab Device based on Gait Feedback for Arthritis Pain Management 基于步态反馈治疗关节炎疼痛的老年康复装置的研制

2022 10th International Conference on Emerging Trends in Engineering and Technology - Signal and Information Processing (ICETET-SIP-22) Pub Date : 2022-04-29 DOI: 10.1109/ICETET-SIP-2254415.2022.9791824

Payal V. Katara, Soniya. J, Dhavanisha. S, S. S, S. P, K. D

{"title":"Development of Geriatric Rehab Device based on Gait Feedback for Arthritis Pain Management","authors":"Payal V. Katara, Soniya. J, Dhavanisha. S, S. S, S. P, K. D","doi":"10.1109/ICETET-SIP-2254415.2022.9791824","DOIUrl":"https://doi.org/10.1109/ICETET-SIP-2254415.2022.9791824","url":null,"abstract":"In this work, an attempt has been made to develop an assistive device for elderly people suffering from joint pain caused by arthritis. With aging, knee joint becomes stiffer and this could be caused by various factors such as infections, cartilage damage or autoimmune diseases. The conventional treatment modalities require extensive physical training and the expenses are quite high for elderly population to maintain healthy knees. During walking, arthritis causes severe pain and hence patient finds it difficult to maintain proper posture. In order to provide cost effective physiotherapy, a rehabilitation device is developed as walking support to assist the elderly person affected with arthritis. This device will monitor the foot pressure of the patient using the piezoelectric plate attached to the shoe which is worn in the affected leg. Knee orthosis embedded with vibrator motor is attached to the affected leg of the patient. The controller module consists of bridge rectifier and Arduino UNO microcontroller. The gait feedback from shoe will be used to adjust the vibration provided to the knee joint which provides pain relief during stance phase of the gait cycle. Results show that the voltage generated from the piezoelectric plate depends on the foot pressure and the weight of the patient. Hence, this rehabilitation device could provide cost effective personalized physiotherapy for the geriatric population affected by arthritis.","PeriodicalId":117229,"journal":{"name":"2022 10th International Conference on Emerging Trends in Engineering and Technology - Signal and Information Processing (ICETET-SIP-22)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125174898","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

Accelerometer Based Hand Gesture Recognition and Control of Motor Powered Trolley 基于加速度计的电动小车手势识别与控制

2022 10th International Conference on Emerging Trends in Engineering and Technology - Signal and Information Processing (ICETET-SIP-22) Pub Date : 2022-04-29 DOI: 10.1109/ICETET-SIP-2254415.2022.9791565

M. Rajagopalaswamy, M. Sivapalanirajan, D. Vairamuthu, S. Prince Joshwa, T. Vigneshkumar, M. Iruthayarajan

引用次数: 1

e-farmer: A study of how image processing tools may be used to detect plant disease e-farmer:研究如何使用图像处理工具来检测植物病害

2022 10th International Conference on Emerging Trends in Engineering and Technology - Signal and Information Processing (ICETET-SIP-22) Pub Date : 2022-04-29 DOI: 10.1109/ICETET-SIP-2254415.2022.9791709

Gauri Shankar Singh, S. Raj, Sonali Kumari, Priyambda Arya, V. S. Bramhe, Shaveta

{"title":"e-farmer: A study of how image processing tools may be used to detect plant disease","authors":"Gauri Shankar Singh, S. Raj, Sonali Kumari, Priyambda Arya, V. S. Bramhe, Shaveta","doi":"10.1109/ICETET-SIP-2254415.2022.9791709","DOIUrl":"https://doi.org/10.1109/ICETET-SIP-2254415.2022.9791709","url":null,"abstract":"Due to changes in climate, Crops are infected, resulting in lower agriculture production. It has an impact on the agricultural financial system. If crops are corrupted with diseases, it becomes more difficult to find what types of diseases are infected on crops. So here latest Technology like artificial intelligence (AI), machine learning (ML), and deep learning can be put to good use in agriculture. These technologies can be used to identify the disease on crops and also can stop affecting the crops by disease. Suggested an application that will help the farmers to identify the disease on plants by scanning the leaves or uploading the image of leaves. Image input will be given by the user and it will start processing the image then it will compare it with the already trained dataset. Convolutional Neural Network (CNN), Visual geometry group −16 (VGG-16), DenseNet-121, Inception V3 algorithms are used to scale the image and collect information about the leaves based on their characteristics such as color.","PeriodicalId":117229,"journal":{"name":"2022 10th International Conference on Emerging Trends in Engineering and Technology - Signal and Information Processing (ICETET-SIP-22)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127641483","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

Two Port Fractal-Shaped MIMO Antenna with Triple Band Rejection Capability for UWB Applications 具有超宽带三波段抑制能力的双端口分形MIMO天线

2022 10th International Conference on Emerging Trends in Engineering and Technology - Signal and Information Processing (ICETET-SIP-22) Pub Date : 2022-04-29 DOI: 10.1109/ICETET-SIP-2254415.2022.9791813

M. Sharma, Pradnya A. Gajbhiye, S. Singh

{"title":"Two Port Fractal-Shaped MIMO Antenna with Triple Band Rejection Capability for UWB Applications","authors":"M. Sharma, Pradnya A. Gajbhiye, S. Singh","doi":"10.1109/ICETET-SIP-2254415.2022.9791813","DOIUrl":"https://doi.org/10.1109/ICETET-SIP-2254415.2022.9791813","url":null,"abstract":"A fractal-shaped two port triple band rejection capability UWB-MIMO antenna is designed and also examined in this communication. The proposed antenna has developed on the low cost roger substrate with total size of the substrate 12 mm x 45 mm and has relative permittivity of the 2.3 with thickness of 0.8 mm. The fractal-shaped geometry is carved in the patch component and ground plane is utilized to obtained wide impedance bandwidth 2 GHz - 20 GHz. The patch element is carved with fractal shaped geometry and a partial ground plane is used to attain a broad impedance bandwidth of 2 Ghz to 20 Ghz. Triple band rejection characteristics is introduced into the proposed antenna by creating U shaped slot with in feed-line. The antenna parameters are separated from one another by placing them orthogonally and by inserting E-shaped ground stubs between them. TARC, ECC, diversity gain and surface current are all used to examine the antenna's MIMO performance. The suggested Multiple Input Multiple Output antenna is rejected frequency bands 2.8 Ghz - 3.5 Ghz, 4.2 Ghz-4.8 Ghz, and 7.4 Ghz - 7.8 Ghz. These triple notch bands are WLAN/Wi-Fi, military fixed and mobile communications, and point to point communication. Isolation less than −25 dB, lower value of ECC (< 0,001) and good band rejection capacity of the antenna is desirable to deploy the proposed antenna for UWB applications.","PeriodicalId":117229,"journal":{"name":"2022 10th International Conference on Emerging Trends in Engineering and Technology - Signal and Information Processing (ICETET-SIP-22)","volume":"256 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133164975","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

An Innovative Safe Electrical Vehicle using Fuzzy Logic based Voice Control Device 基于模糊逻辑语音控制装置的新型安全电动汽车

2022 10th International Conference on Emerging Trends in Engineering and Technology - Signal and Information Processing (ICETET-SIP-22) Pub Date : 2022-04-29 DOI: 10.1109/ICETET-SIP-2254415.2022.9791554

Pankaj Ramtekkar, H. Naidu, Suraj Dudhe

引用次数: 2

Automated Framework for Web Content Security Through Content Management System 通过内容管理系统实现Web内容安全的自动化框架

2022 10th International Conference on Emerging Trends in Engineering and Technology - Signal and Information Processing (ICETET-SIP-22) Pub Date : 2022-04-29 DOI: 10.1109/ICETET-SIP-2254415.2022.9791492

A. Phulre, Shreyash C. Pagare, Ankit Chakrawati

引用次数: 0

A Review to Innovative a Green Electric Vehicle for Future 面向未来的绿色电动汽车创新述评

2022 10th International Conference on Emerging Trends in Engineering and Technology - Signal and Information Processing (ICETET-SIP-22) Pub Date : 2022-04-29 DOI: 10.1109/ICETET-SIP-2254415.2022.9791571

Rachna Betala, Hari Kumar Naidu

引用次数: 6

A Review on Deep Learning Methods and CT Scan Approaches for Covid-19 Detection 深度学习方法与CT扫描方法在新型冠状病毒检测中的研究进展

2022 10th International Conference on Emerging Trends in Engineering and Technology - Signal and Information Processing (ICETET-SIP-22) Pub Date : 2022-04-29 DOI: 10.1109/ICETET-SIP-2254415.2022.9791687

Swati Paraskar, Arfiya S. Pathan, Rina Parteki, Rucha Jichkar, L. Thakare, T. Deotale

{"title":"A Review on Deep Learning Methods and CT Scan Approaches for Covid-19 Detection","authors":"Swati Paraskar, Arfiya S. Pathan, Rina Parteki, Rucha Jichkar, L. Thakare, T. Deotale","doi":"10.1109/ICETET-SIP-2254415.2022.9791687","DOIUrl":"https://doi.org/10.1109/ICETET-SIP-2254415.2022.9791687","url":null,"abstract":"Now-a-days, we all face pandemic infectious disease COVID-19, i.e. coronavirus disease. This disease is precarious because it is transmitted efficiently by close or far with a contaminated person. In this coronavirus disease pandemic, a lot of infected citizens increase every day. The only way to retard the speed of spreading this infectious virus is to recognize and examine this pandemic COVID - 19 disease. The Real-Time Reverse Transcription Polymerase Chain Reaction (RT-PCR) is used as a primary testing approach to diagnose coronavirus disease. However, the RT-PCR detection method is a highly-priced and drawn-out process. Thus, there is a need to design other ways to detect and diagnose COVID-19. The essential part of data-driven science is deep learning. In machine learning, we have to choose properties and images, whereas, in deep learning modeling, the extraction of data step is done automatically. Data learning is the upgrade version of machine learning. Deep learning is used to converge with the convolutional neural network (CNN), mainly accustomed to detecting the disease. This paper will explain the basics of deep learning (DL) techniques and their application in this COVID-19 pandemic situation. For an accurate diagnosis, precise tracking of infection development performs a crucial function. In COVID-19, the computer tomography CT is used for keeping an eye on continuous monitoring of disease development. In most countries, computed tomography is an inexpensive test that helps diagnose covid-19 detection. This paper will also enlist the aspects of CT scan techniques used to recognize coronavirus disease.","PeriodicalId":117229,"journal":{"name":"2022 10th International Conference on Emerging Trends in Engineering and Technology - Signal and Information Processing (ICETET-SIP-22)","volume":"146 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124689434","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