International Conference on Automation, Quality and Testing, Robotics最新文献

System for visibility distance estimation in fog conditions based on light sources and visual acuity 基于光源和视敏度的雾天能见度距离估计系统

International Conference on Automation, Quality and Testing, Robotics Pub Date : 1900-01-01 DOI: 10.1109/AQTR.2016.7501323

I. Silea, Razvan-Catalin Miclea, F. Alexa

引用次数: 6

Gaze Analysis and Concentration Monitoring for Children With Attention Disorder Using Eye-Tracking 使用眼动追踪的儿童注意力障碍注视分析与集中监测

International Conference on Automation, Quality and Testing, Robotics Pub Date : 1900-01-01 DOI: 10.1109/AQTR55203.2022.9802014

D. Gota, Ruxandra Miron-Onciul, C. Domuta, Alexandra Fanca, A. Puscasiu, O. Stan, H. Valean, L. Miclea

引用次数: 1

Sizing photovoltaic-wind smart microgrid with battery storage and grid connection 具有电池存储和电网连接的光伏-风能智能微电网的规模

International Conference on Automation, Quality and Testing, Robotics Pub Date : 1900-01-01 DOI: 10.1109/AQTR.2014.6857912

T. Patarau, D. Petreus, R. Etz, D. Moga

引用次数: 11

Low Cost Defect Detection Using a Deep Convolutional Neural Network 基于深度卷积神经网络的低成本缺陷检测

International Conference on Automation, Quality and Testing, Robotics Pub Date : 1900-01-01 DOI: 10.1109/AQTR49680.2020.9130004

Andrei-Alexandru Tulbure, E. Dulf

{"title":"Low Cost Defect Detection Using a Deep Convolutional Neural Network","authors":"Andrei-Alexandru Tulbure, E. Dulf","doi":"10.1109/AQTR49680.2020.9130004","DOIUrl":"https://doi.org/10.1109/AQTR49680.2020.9130004","url":null,"abstract":"Starting with the late 1990s, more and more visual recognition tasks are being automated. The focus is around removing the human from the loop, thus increasing the overall process efficiency. Modern advancements in artificial intelligence allow us to start to automate tasks performed by specialized human beings, such as: visual inspection and defect detection. In this visual inspection process a deep convolutional neural network is used to fulfill the task of visual inspection of a bearing mounting process and classify it into 2 classes: good or faulty. This process is characteristic to the automotive sector. After training the CNN model the performances are evaluated by running the classification part of the algorithm on the validation dataset. No special training constraints are used and no special training method are used: everything is open source, as the goal of this research is to prove the viability for smaller companies to use AI in their everyday processes, in order to improve the overall business efficiency. The model can replace the human operator in the loop by having a mean accuracy of 90% and a mean processing time of 8 seconds. The overall cost of this application was well under the general market price for this kind of solutions. A path for further improvements is also demonstrated.","PeriodicalId":145620,"journal":{"name":"International Conference on Automation, Quality and Testing, Robotics","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114535033","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

Multi-Channel Chatbot and Robotic Process Automation 多通道聊天机器人和机器人过程自动化

International Conference on Automation, Quality and Testing, Robotics Pub Date : 1900-01-01 DOI: 10.1109/AQTR55203.2022.9801960

D. Gota, C. Domuta, Alexandra Fanca, A. Puscasiu, O. Stan, H. Valean, L. Miclea

引用次数: 0

Implementing Demand Response Using Smart Home IoT Devices 使用智能家居物联网设备实现需求响应

International Conference on Automation, Quality and Testing, Robotics Pub Date : 1900-01-01 DOI: 10.1109/AQTR49680.2020.9129991

Daniel-George Dumitrascu, M. Coroiu, Bogdan Marina, Radu Tarau

{"title":"Implementing Demand Response Using Smart Home IoT Devices","authors":"Daniel-George Dumitrascu, M. Coroiu, Bogdan Marina, Radu Tarau","doi":"10.1109/AQTR49680.2020.9129991","DOIUrl":"https://doi.org/10.1109/AQTR49680.2020.9129991","url":null,"abstract":"Households and buildings became smarter due to IoT devices and as a result home and building automation solutions are operational almost everywhere. The proliferation of renewable distributed energy resources (DER), despite having a positive impact on the carbon footprint, created important operational problems for power systems. The intermittent nature of DER does not only make them unsuitable for controlling the grid but contributes to its instability. In order to accommodate more renewables into the grid there is a real need to increase its flexibility and therefore maintain its stability. Historically, balancing services and technological ancillary systems have been provided mainly by thermal and gas fired power plants, having an obvious negative impact on the carbon footprint. A possible alternative to ensure balancing and regulation might be the extensive use of demand response (DR) measures. The access to aggregated energy data acquired from a large number of households or office buildings enables the implementation of DR based on the intrinsic capabilities of the connected smart home devices, like power monitoring smart switches or plugs. After reviewing the existing situation in Europe related to DR measures and some information concerning the use of technologies like blockchain in the energy sector, this paper will present the concept of a smart home electric energy data aggregation platform (SHEEDAP), to be applied as a new type of power grid flexibility provider. As a novelty, the platform will use sub-metering devices from the smart home environment in order to perform DR actions.","PeriodicalId":145620,"journal":{"name":"International Conference on Automation, Quality and Testing, Robotics","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121633018","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

Management and Control of a Small-Scale Eolian Electric Power System 小型风力发电系统的管理与控制

International Conference on Automation, Quality and Testing, Robotics Pub Date : 1900-01-01 DOI: 10.1109/AQTR49680.2020.9129946

C. Festila, E. Dulf, Roxana Rusu-Both, S. Chetan, M. Cirlugea

引用次数: 0

A New Approach for Detection and Analysis of Lung Pleural Line Morphology 肺胸膜线形态检测与分析的新方法

International Conference on Automation, Quality and Testing, Robotics Pub Date : 1900-01-01 DOI: 10.1109/AQTR55203.2022.9801973

Roxana Rusu-Both, A. Popa, Bianca Toderean, R. Chira

引用次数: 0

Quadcopter control using onboard monocular camera for enriching remote laboratory facilities 四轴飞行器控制使用机载单目摄像机丰富远程实验室设施

International Conference on Automation, Quality and Testing, Robotics Pub Date : 1900-01-01 DOI: 10.1109/AQTR.2018.8402730

Fawzi Khattar, F. Dornaika, F. Luthon, B. Larroque

引用次数: 4

Preliminaries in (Mpdx) method associated with Cohen equations 与Cohen方程相关的(Mpdx)方法初探

International Conference on Automation, Quality and Testing, Robotics Pub Date : 1900-01-01 DOI: 10.1109/AQTR.2016.7501386

Sas Diana Monica, Z. Kovendi

引用次数: 6