2022 International Conference on Automation, Computing and Renewable Systems (ICACRS)最新文献_第9页

Smart Driving Assistant for Upclimbing Hill Slope Area 上坡区智能驾驶助手

2022 International Conference on Automation, Computing and Renewable Systems (ICACRS) Pub Date : 2022-12-13 DOI: 10.1109/ICACRS55517.2022.10029165

M. M, Baluprithiviraj, S. S, Varsinishrilaya. P. K, N. N., K. T

{"title":"Smart Driving Assistant for Upclimbing Hill Slope Area","authors":"M. M, Baluprithiviraj, S. S, Varsinishrilaya. P. K, N. N., K. T","doi":"10.1109/ICACRS55517.2022.10029165","DOIUrl":"https://doi.org/10.1109/ICACRS55517.2022.10029165","url":null,"abstract":"As a top priority, most governments strive to reduce traffic accidents. It may be prudent to use automated solutions for various driving-related infrastructures, as human error is the leading cause of accidents. Drivers have difficulty starting their vehicles on slopes due to load and clutch releasing issues, resulting in vehicle back rolling. A pressure holding braking system for steep inclines is designed and implemented in this article to prevent accidents on hill slopes. It detects the angular position of the vehicle using an accelerometer. During the up-climbing portion, the vehicle's back movement is protected by using a timer application to maintain break pressure when the driver releases foot from clutch to accelerator in the vehicle. The proposed prototype includes the slope detection, pressure holder and pressure release system. First the accelerometer measures the vehicle slope angle, which is then passed to the microcontroller for further process by either applying a constant pressure in the brake system for a while (driver shift the legs from brake to accelerometer) or normal condition to follow. When the time delay is over, the pressure holds up in the braking system gets released and the vehicle will move forward. In hills, it is very useful for new drivers driving the vehicle in hill stations during heavy traffic periods. By implementing this method in the braking system, the newly driving people in hill station are highly benefitted and easy to extend in old vehicles to avoid accident possibilities when compared to the normal vehicle system.","PeriodicalId":407202,"journal":{"name":"2022 International Conference on Automation, Computing and Renewable Systems (ICACRS)","volume":"110 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131423565","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

Diagnosis of Neurodegenerative Diseases by Gait Analysis using Triblock CNN and Deep RQA Techniques 基于Triblock CNN和深度RQA技术的步态分析诊断神经退行性疾病

2022 International Conference on Automation, Computing and Renewable Systems (ICACRS) Pub Date : 2022-12-13 DOI: 10.1109/ICACRS55517.2022.10029144

Vajiha Begum S. A, Pushpa Rani M

{"title":"Diagnosis of Neurodegenerative Diseases by Gait Analysis using Triblock CNN and Deep RQA Techniques","authors":"Vajiha Begum S. A, Pushpa Rani M","doi":"10.1109/ICACRS55517.2022.10029144","DOIUrl":"https://doi.org/10.1109/ICACRS55517.2022.10029144","url":null,"abstract":"Neurodegenerative diseases are one of the most concerning medical disorders worldwide. Millions of global deaths and suffering could be averted through early diagnosis of neurodegenerative diseases necessitating the crucial need for technological innovations. Therefore, novel techniques are required urgently for this international humanitarian cause potential to saving numerous lives every day. With this in mind, a new technique based on Deep learning and Machine learning models has been presented. Neurodegenerative diseases (NDD) are caused by brain dysfunctions, triggering severe walking abnormalities. Human gait analysis distinguishes people using their walking style, which indicates the unique walking pattern of an individual. Personal examinations are vital in individual disease identifications, however intelligence-based systems are proficient in precise diagnosis of distinct Neurodegenerative Diseases than conventional approaches. The study data comprises gait patterns of Parkinson’s Disease, Huntington’s Disease, Amyotrophic Lateral Sclerosis and healthy control subjects. The proposed system recognizes gait patterns with utmost precision, distinguishing NDD using a remarkable gait analysis method. Hence, to extract optimal gait features ensuring accurate disease identification, this study proposes Triblock Convolutional Neural Network architecture and compact Deep Recurrence Quantification Analysis (TBCNN_DRQA) techniques. The Machine learning classifier helps in the categorization and disease diagnosis using feature vectors of TBCNN_DRQA. The TBCNN_DRQA technique with random forest classifier, achieves in identifying NDD with 99.96% higher accuracy. The results certain the precision and reliability of the proposed technique, thereby effectuating advanced identification of disease types thereby aiding doctors to start effective early treatment and rehabilitation.","PeriodicalId":407202,"journal":{"name":"2022 International Conference on Automation, Computing and Renewable Systems (ICACRS)","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131781032","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

Non-Sequential Indexing of Videos using Linguistic Computation 使用语言计算的视频非顺序索引

2022 International Conference on Automation, Computing and Renewable Systems (ICACRS) Pub Date : 2022-12-13 DOI: 10.1109/ICACRS55517.2022.10029031

Sanjana Hukkeri, H. Ashish, Ritu V. Malage, P. Preethi, H. Mamatha

{"title":"Non-Sequential Indexing of Videos using Linguistic Computation","authors":"Sanjana Hukkeri, H. Ashish, Ritu V. Malage, P. Preethi, H. Mamatha","doi":"10.1109/ICACRS55517.2022.10029031","DOIUrl":"https://doi.org/10.1109/ICACRS55517.2022.10029031","url":null,"abstract":"Since the outbreak of Corona Virus Disease(COVID-19), the education sector has seen a drift from traditional in-person teaching methods to virtually-assisted learning. This new trend has paved its path for students to easily gain access to a variety of educational instructors across the globe. But online education comes with its own potential and challenges. Factors like high availability, flexibility, and affordability of the online learning platforms add to the effective deliverance of the content in this progressive present-day online learning. Some key disadvantages are lack of powerful conveyance of content to listeners and sequential navigation of videos. Linearly searching for specific topics through long videos is a common problem that students face, while learning from the internet. This research study proposes a novel approach to promote the application of non-sequential navigation of videos by identifying key-topics and automatically generating timestamps. The model utilizes Natural Language Processing (NLP) and Optical Character Recognition (OCR) techniques for determining the key topics from the video. Timestamps are identified for the keywords before they are uttered, using a novel algorithm for audio indexing. Finally, timestamps are successfully generated for every keyword. Through this study, the objective of non-sequential navigation of videos using a new audio-indexing algorithm is achieved.","PeriodicalId":407202,"journal":{"name":"2022 International Conference on Automation, Computing and Renewable Systems (ICACRS)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116475868","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

Air Compression Massage System for Chronic Vein Disorders 慢性静脉疾病的空气压缩按摩系统

2022 International Conference on Automation, Computing and Renewable Systems (ICACRS) Pub Date : 2022-12-13 DOI: 10.1109/ICACRS55517.2022.10029138

Deekshita R, Priscita K, Shruthi Ram R, V. N, M. Anisha, Gokul M

引用次数: 0

IoT-based Automatic Manhole Observant for Sewage Worker’s Safety 基于物联网的污水处理井口自动监控系统

2022 International Conference on Automation, Computing and Renewable Systems (ICACRS) Pub Date : 2022-12-13 DOI: 10.1109/ICACRS55517.2022.10029252

Rakesh Dronavalli, Kalpana Seelam, Parthive Maganti, Jasmitha Gowineni, Sai Deepthi Challamalla

引用次数: 1

A Review on Digital Farming using Machine Learning Techniques 使用机器学习技术的数字农业研究综述

2022 International Conference on Automation, Computing and Renewable Systems (ICACRS) Pub Date : 2022-12-13 DOI: 10.1109/ICACRS55517.2022.10029306

N. Yedukondalu, V. Bhuvana Kumar, Dr Narayana Rao Appini

引用次数: 0

SaRa: A Novel Activation Function with Application to Melanoma Image Classification SaRa:一种新的激活函数在黑色素瘤图像分类中的应用

2022 International Conference on Automation, Computing and Renewable Systems (ICACRS) Pub Date : 2022-12-13 DOI: 10.1109/ICACRS55517.2022.10029161

Mohammad Naved Qureshi, M. Sarosh Umar

引用次数: 1

Spot Fire: An Intelligent Forest Fire Detection System Design With Machine Learning 现场火灾:基于机器学习的智能森林火灾探测系统设计

2022 International Conference on Automation, Computing and Renewable Systems (ICACRS) Pub Date : 2022-12-13 DOI: 10.1109/ICACRS55517.2022.10029044

K. Revathi, T. Tamilselvi, R. Arunkumar, T. Divya

引用次数: 0

IoT-based Intelligent Mobile Application for Shopping 基于物联网的智能移动购物应用

2022 International Conference on Automation, Computing and Renewable Systems (ICACRS) Pub Date : 2022-12-13 DOI: 10.1109/ICACRS55517.2022.10029137

M. Balamurugan, G. Prabhakar, G. Amsaveni, M. Karthikumar, J. Shifa, E. Sharmila

引用次数: 0

Fuzzy based Pollution Severity Prediction in Polymer Insulator using Harmonic Analyzer 基于谐波分析仪的聚合物绝缘子污染程度模糊预测

2022 International Conference on Automation, Computing and Renewable Systems (ICACRS) Pub Date : 2022-12-13 DOI: 10.1109/ICACRS55517.2022.10029001

B. S. Ponmani, R. Maheswari, B. Vigneshwaran

引用次数: 0