2020 International Conference on Development and Application Systems (DAS)最新文献_第5页

Pedestrian detection based on TensorFlow YOLOv3 embedded in a portable system adaptable to vehicles 基于TensorFlow YOLOv3的行人检测嵌入可适应车辆的便携式系统

2020 International Conference on Development and Application Systems (DAS) Pub Date : 2020-05-01 DOI: 10.1109/DAS49615.2020.9108940

Eduard Zadobrischi, M. Negru

{"title":"Pedestrian detection based on TensorFlow YOLOv3 embedded in a portable system adaptable to vehicles","authors":"Eduard Zadobrischi, M. Negru","doi":"10.1109/DAS49615.2020.9108940","DOIUrl":"https://doi.org/10.1109/DAS49615.2020.9108940","url":null,"abstract":"With the expansion of accessibility and availability of personal cars towards the population, the environment, road safety, and pedestrian safety faces greater problems. The neediest for the management of information through autonomous systems dedicated to pedestrian detection and improvement of analysis and road prevention algorithms is an important factor addressed in this paper. The purpose of this paper is to demonstrate and propose viable solutions that will help drivers to practice an efficient, safe, and event-free driving style. This paper presents a prototype under development that can avoid various traffic events, the system analyzing, and alerting the driver regarding pedestrian intentions, marking each detection separately according to the degree of danger that it constitutes for both the driver, as well as for pedestrians. This research analyzes and emphasizes that at this point everything is already focused on the paradigm from which it is possible for all these technologies to cooperate in a hybrid platform, offering a real solution to the demands of human users but also of IoT solutions.","PeriodicalId":103267,"journal":{"name":"2020 International Conference on Development and Application Systems (DAS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131176699","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: 9

A Novel Intelligent Tutoring System For Learning Programming 一种新的编程学习智能辅导系统

2020 International Conference on Development and Application Systems (DAS) Pub Date : 2020-05-01 DOI: 10.1109/DAS49615.2020.9108925

Meng Wang, Wenjun Wu, Yu Liang

引用次数: 1

Improving the performance of Real-Time Event Processing based on Preemptive Scheduler FPGA Implementation 基于抢占调度的实时事件处理性能改进FPGA实现

2020 International Conference on Development and Application Systems (DAS) Pub Date : 2020-05-01 DOI: 10.1109/DAS49615.2020.9108930

I. Zagan, V. Gaitan

引用次数: 0

Sensorless Control of PMSM using DTC Strategy Based on PI-ILC Law and MRAS Observer 基于PI-ILC律和MRAS观测器的DTC策略永磁同步电机无传感器控制

2020 International Conference on Development and Application Systems (DAS) Pub Date : 2020-05-01 DOI: 10.1109/DAS49615.2020.9108974

M. Nicola, C. Nicola, D. Sacerdoțianu

{"title":"Sensorless Control of PMSM using DTC Strategy Based on PI-ILC Law and MRAS Observer","authors":"M. Nicola, C. Nicola, D. Sacerdoțianu","doi":"10.1109/DAS49615.2020.9108974","DOIUrl":"https://doi.org/10.1109/DAS49615.2020.9108974","url":null,"abstract":"This article presents the sensorless control system of a PMSM (Permanent Magnet Synchronous Motor) based on the DTC (Direct Torque Control) control strategy, where the speed controller is of ILC (Iterative Learning Control) type. This control system is recommended in case of the repetitive tasks performed by the PMSM control system. Also, the superiority of the ILC controller leads to good performance if the load torque (considered as a disturbing signal for the speed control system) has an oscillating variation. In order to increase the reliability of the control system, the speed sensor is replaced with a MRAS (Model Reference Adaptive System) speed observer. The article presents the equations of the PMSM, of the control system, of the observer and the implementation in Matlab/Simulink. The results obtained are presented comparatively for PI, PI-ILC law speed controllers. The superior performance and the parametric robustness are noted for the PI-ILC law speed controller. Based on the results obtained through numerical simulations, the implementation in embedded systems is recommended, in future papers.","PeriodicalId":103267,"journal":{"name":"2020 International Conference on Development and Application Systems (DAS)","volume":"2003 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125768808","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