2023 International Conference for Advancement in Technology (ICONAT)最新文献_第2页

Analysis of Factors Affecting the Development of Socio-Economic Systems of Vietnam Based on Combinatorial Methods 基于组合方法的越南社会经济体系发展影响因素分析

2023 International Conference for Advancement in Technology (ICONAT) Pub Date : 2023-01-24 DOI: 10.1109/ICONAT57137.2023.10080736

Dung Nguyen Thi Thu, L. Chernenkaya

引用次数: 0

Vision-based Driver’s Seat Belt Detection 基于视觉的驾驶员安全带检测

2023 International Conference for Advancement in Technology (ICONAT) Pub Date : 2023-01-24 DOI: 10.1109/ICONAT57137.2023.10080147

Jyoti Madake, Shlok Yadav, Shaurya Singh, S. Bhatlawande, S. Shilaskar

引用次数: 2

Descriptive Analysis of the Cloud Computing Services and Deployment Models 云计算服务和部署模型的描述性分析

2023 International Conference for Advancement in Technology (ICONAT) Pub Date : 2023-01-24 DOI: 10.1109/ICONAT57137.2023.10080749

T. Kaur, Sushil Kamboj

{"title":"Descriptive Analysis of the Cloud Computing Services and Deployment Models","authors":"T. Kaur, Sushil Kamboj","doi":"10.1109/ICONAT57137.2023.10080749","DOIUrl":"https://doi.org/10.1109/ICONAT57137.2023.10080749","url":null,"abstract":"Cloud have wide-ranging implications in several areas of computing, notably massive knowledge, cloud computing has simply up to the highest of any list of technology subjects. Furthermore, it is one of the most important chop-chop developing technologies due to the availability of a wide range of computer infrastructure and services. The expansion of cloud computing has included mainframe computing, cluster and grid computing, distributed and parallel computing technologies, and so on. Cloud computing has mostly supplanted grid, cluster, and mainframe computing. This refers to the delivery of numerous services over the web differently. Such as databases, infrastructure, run time platforms, knowledge storage, servers, networking, and code area unit samples of these resources. Price savings, bigger productivity, speed, efficiency, high performance, high computing power, and security are simply many of the explanations why consumers and businesses embrace the on demand computing. This article goes through the definition of cloud computing as well as its properties, various cloud services, deployment models, and security concerns.","PeriodicalId":250587,"journal":{"name":"2023 International Conference for Advancement in Technology (ICONAT)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121908161","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

Biometric as Secure Authentication for Virtual Reality Environment: A Systematic Literature Review 生物识别技术作为虚拟现实环境中的安全认证:系统的文献综述

2023 International Conference for Advancement in Technology (ICONAT) Pub Date : 2023-01-24 DOI: 10.1109/ICONAT57137.2023.10080713

Chandra Hermawan Heruatmadja, Meyliana, A. Hidayanto, Harjanto Prabowo

{"title":"Biometric as Secure Authentication for Virtual Reality Environment: A Systematic Literature Review","authors":"Chandra Hermawan Heruatmadja, Meyliana, A. Hidayanto, Harjanto Prabowo","doi":"10.1109/ICONAT57137.2023.10080713","DOIUrl":"https://doi.org/10.1109/ICONAT57137.2023.10080713","url":null,"abstract":"Virtual Reality (VR) is a type of technology that enables users to interact each other inside artificial environments. While this technology makes life easier, it also creates new issues, particularly in the areas of security and authentication. In contrast to authentication techniques in general, where users can use a pin or password safely and securely, in VR this security model creates a new security loophole and the better authentication method and more secure authentication in virtual reality have both been the subject of numerous studies including using biometric. In order to learn more about biometric authentication, which is the most common issue in VR authentication research, this research is conducted in a systematic literature review to answer the research questions what biometric media, HeadMounted Display (HMD), also examines what machine learning and biometric media are frequently used, and how accurate biometric authentication can identify individual person, and in the end, to help future researchers to shorten the time in conducting research or have the right authentication method for a VR service. Result of the research found that to build biometric authentication model, researcher often use k-Nearest Network and Support Vector Machine (SVM) machine learning, and finger vein and hand movement are the most accurate biometric authentication among others.","PeriodicalId":250587,"journal":{"name":"2023 International Conference for Advancement in Technology (ICONAT)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128422712","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

CHESS AI: Machine learning and Minimax based Chess Engine 国际象棋AI:机器学习和基于极大极小的国际象棋引擎

2023 International Conference for Advancement in Technology (ICONAT) Pub Date : 2023-01-24 DOI: 10.1109/ICONAT57137.2023.10080746

Jyoti Madake, Chinmay Deotale, Geetai Charde, S. Bhatlawande

引用次数: 1

Pothole Detection System Using Object Detection through Dash Cam Video Feed 利用行车记录仪视频馈送进行目标检测的凹坑检测系统

2023 International Conference for Advancement in Technology (ICONAT) Pub Date : 2023-01-24 DOI: 10.1109/ICONAT57137.2023.10080856

Shrinjoy Sen, Deep Chakraborty, Biswanil Ghosh, Bhabnashre Dutta Roy, Krittika Das, Jyoti Anand, Prof. Aniket Maiti

{"title":"Pothole Detection System Using Object Detection through Dash Cam Video Feed","authors":"Shrinjoy Sen, Deep Chakraborty, Biswanil Ghosh, Bhabnashre Dutta Roy, Krittika Das, Jyoti Anand, Prof. Aniket Maiti","doi":"10.1109/ICONAT57137.2023.10080856","DOIUrl":"https://doi.org/10.1109/ICONAT57137.2023.10080856","url":null,"abstract":"In the present work, the possibility of preventing damage to cars and increasing the safety of cars using Image Processing has been explored. A method for modifying an image to produce a better image or to extract some relevant information from it is known as “image processing” [1]. It is a kind of signal processing where the input is an image and the output can either be another image or traits or features related to that image. We have dived deep into Machine Learning and further explored Deep Learning Techniques [2] using the custom trained CNN model. The following paper discusses the possibility of using YOLO Algorithm [3] to detect potholes and alert the driver to slow down thereby reducing possibilities of accidents. Initial Models tested used Yolov3 [4] with a small dataset of 600 images. The final model tested in this paper uses 3000 images of potholes hand clicked at angles ranging from 30 degrees to 90 degrees with respect to the ground. It further dives deep into object tracking along with the YOLOv4 algorithm [5] and implementing the deepSORT [6] algorithm. A little light is also shed on the probability of the use of ML Model to detect the most common roads used at most common timings to keep the driver well informed about all upcoming potholes and road disturbances seen previously.","PeriodicalId":250587,"journal":{"name":"2023 International Conference for Advancement in Technology (ICONAT)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130557526","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

Safety Helmet Detection: A Comparative Analysis Using YOLOv4, YOLOv5, and YOLOv7 安全帽检测:使用YOLOv4、YOLOv5和YOLOv7的比较分析

2023 International Conference for Advancement in Technology (ICONAT) Pub Date : 2023-01-24 DOI: 10.1109/ICONAT57137.2023.10080723

Siddhi Chourasia, Rhugved Bhojane, Lokesh M. Heda

{"title":"Safety Helmet Detection: A Comparative Analysis Using YOLOv4, YOLOv5, and YOLOv7","authors":"Siddhi Chourasia, Rhugved Bhojane, Lokesh M. Heda","doi":"10.1109/ICONAT57137.2023.10080723","DOIUrl":"https://doi.org/10.1109/ICONAT57137.2023.10080723","url":null,"abstract":"Safety helmets are of utmost importance to workers’ lives as the most fundamental form of protection. However, safety helmets are frequently not worn as a result of a lack of safety awareness. Utilizing outdated manual inspection techniques and video monitoring to check if employees are wearing helmets results in missed inspections and poor punctuality. As object detection technologies advanced, the YOLO family of detection algorithms, which have extremely high speed and precision, were applied in multiple detection segments. In this paper, we compare and analyze the three models of the YOLO family, the YOLOv4, the YOLOv5, and the YOLOv7 for helmet detection. A publicly available dataset of 5000 images was collected and annotated. Our results have shown that the YOLOv7 accomplishes an mAP of 96.4% which is 1.36% better than the YOLOv5 and 3.00% better than the YOLOv4. The results also show that the YOLOv7 has an average detection time of 12.4 ms, outperforming that of the YOLOv4 and the YOLOv5. Both in terms of accuracy and speed, the YOLOv7 exceeds both models, making it possible for even greater real-time object detection.","PeriodicalId":250587,"journal":{"name":"2023 International Conference for Advancement in Technology (ICONAT)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126691906","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

Sensorless Control of a BLDC Motor using Back-EMF Detection Method 基于反电动势检测方法的无刷直流电机无传感器控制

2023 International Conference for Advancement in Technology (ICONAT) Pub Date : 2023-01-24 DOI: 10.1109/ICONAT57137.2023.10079963

Dattatray Sawant, Y. Rao, R. Sawant

引用次数: 0

Ambient Air Quality Monitoring System 环境空气质素监测系统

2023 International Conference for Advancement in Technology (ICONAT) Pub Date : 2023-01-24 DOI: 10.1109/ICONAT57137.2023.10080220

Kamepalli Alekhya, P. Sravya, N. Naik, B. J. LakshmiNarayana

{"title":"Ambient Air Quality Monitoring System","authors":"Kamepalli Alekhya, P. Sravya, N. Naik, B. J. LakshmiNarayana","doi":"10.1109/ICONAT57137.2023.10080220","DOIUrl":"https://doi.org/10.1109/ICONAT57137.2023.10080220","url":null,"abstract":"These days, air pollution is a major problem. For a better future and everyone’s health, Monitoring and controlling air quality are crucial. Here, we suggest an IOT-based system for live air quality monitoring that enables monitoring and evaluation of the air quality in real-time. When hazardous gases and compounds are present in the air, the system uses air sensors to continually relay data to the microcontroller. The system also continuously monitors the levels and transmits its findings via IOT to an online server. The microcontroller receives data from the sensors and processes it before sending it via the internet. When the air quality drops below a particular point, which occurs when dangerous gases including CO2, smoking, alcohol, benzene, NH3, and NOx are sufficiently prevalent in the air, an alarm will sound and an alert message will be issued. It will make it very simple to monitor air pollution because it would show the air quality in PPM on the LCD and internet. The MQ6, MQ7, MQ2, and MQ135 sensors are used by the system to monitor air quality since they can correctly measure and detect the majority of hazardous substances.","PeriodicalId":250587,"journal":{"name":"2023 International Conference for Advancement in Technology (ICONAT)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123626157","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

Life Cycle Analysis of Lithium-ion Batteries: An Assessment of Sustainability Impact 锂离子电池生命周期分析:可持续性影响评估

2023 International Conference for Advancement in Technology (ICONAT) Pub Date : 2023-01-24 DOI: 10.1109/ICONAT57137.2023.10080437

M. Anil, G. Rejikumar

引用次数: 0