首页 > 最新文献

2020 International Conference on Development and Application Systems (DAS)最新文献

英文 中文
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
Pub Date : 2020-05-01 DOI: 10.1109/DAS49615.2020.9108940
Eduard Zadobrischi, M. Negru
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.
随着私家车对人口的可及性和可获得性的扩大,环境、道路安全、行人安全面临着更大的问题。最需要的信息管理通过自主系统致力于行人检测和改进分析和道路预防算法是本文解决的一个重要因素。本文的目的是展示并提出可行的解决方案,帮助驾驶员实践高效、安全和无事故的驾驶方式。本文提出了一个正在开发的原型,它可以避免各种交通事件,系统分析并提醒驾驶员行人的意图,并根据其对驾驶员和行人构成的危险程度分别标记每次检测。本研究分析并强调,在这一点上,一切都已经集中在范式上,所有这些技术都有可能在混合平台上合作,为人类用户的需求提供真正的解决方案,同时也为物联网解决方案提供解决方案。
{"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
Pub Date : 2020-05-01 DOI: 10.1109/DAS49615.2020.9108925
Meng Wang, Wenjun Wu, Yu Liang
The goal of this paper is to propose the concept, structure and implementation of a novel intelligent tutoring system designed for beginners in C language and Python. The system is implemented by adding the functions of code classification, program error repair and personal knowledge tracing to an online programming practice platform. This implementation makes the original platform become more intelligent and help students learn programming better.
本文的目的是提出一种新的智能辅导系统的概念,结构和实现为初学者设计的C语言和Python。该系统是通过在在线编程实践平台上增加代码分类、程序错误修复和个人知识追踪功能来实现的。这样的实现使原来的平台变得更加智能化,也有助于学生更好地学习编程。
{"title":"A Novel Intelligent Tutoring System For Learning Programming","authors":"Meng Wang, Wenjun Wu, Yu Liang","doi":"10.1109/DAS49615.2020.9108925","DOIUrl":"https://doi.org/10.1109/DAS49615.2020.9108925","url":null,"abstract":"The goal of this paper is to propose the concept, structure and implementation of a novel intelligent tutoring system designed for beginners in C language and Python. The system is implemented by adding the functions of code classification, program error repair and personal knowledge tracing to an online programming practice platform. This implementation makes the original platform become more intelligent and help students learn programming better.","PeriodicalId":103267,"journal":{"name":"2020 International Conference on Development and Application Systems (DAS)","volume":"4 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":"122392620","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
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
Pub Date : 2020-05-01 DOI: 10.1109/DAS49615.2020.9108930
I. Zagan, V. Gaitan
The design of an RTOS (real-time operation system) kernel is mostly based on a preemptive scheduler that responds to events and interrupts according to the priorities. The hardware RTOS (HW-RTOS) concept includes a real-time scheduler which ensures a deterministic execution of a set of tasks by implementing in hardware the appropriate scheduling algorithms, similar to those of the RTOS. The contributions of this paper consist in presenting original methods that contribute to increasing the performance of the RTOS, to reduce the jitter effect by implementing a unified space of task and event priorities, to increase the execution factor and controlling the RTS (real-time system) scheduling limit, by implementing the real-time event handling unit.
RTOS(实时操作系统)内核的设计主要基于抢占式调度器,该调度器根据优先级响应事件和中断。硬件RTOS (HW-RTOS)概念包括一个实时调度程序,它通过在硬件中实现适当的调度算法(类似于RTOS)来确保一组任务的确定性执行。本文的贡献在于提出了有助于提高RTOS性能的新颖方法,通过实现任务和事件优先级的统一空间来减少抖动效应,通过实现实时事件处理单元来增加执行因子并控制RTS(实时系统)调度限制。
{"title":"Improving the performance of Real-Time Event Processing based on Preemptive Scheduler FPGA Implementation","authors":"I. Zagan, V. Gaitan","doi":"10.1109/DAS49615.2020.9108930","DOIUrl":"https://doi.org/10.1109/DAS49615.2020.9108930","url":null,"abstract":"The design of an RTOS (real-time operation system) kernel is mostly based on a preemptive scheduler that responds to events and interrupts according to the priorities. The hardware RTOS (HW-RTOS) concept includes a real-time scheduler which ensures a deterministic execution of a set of tasks by implementing in hardware the appropriate scheduling algorithms, similar to those of the RTOS. The contributions of this paper consist in presenting original methods that contribute to increasing the performance of the RTOS, to reduce the jitter effect by implementing a unified space of task and event priorities, to increase the execution factor and controlling the RTS (real-time system) scheduling limit, by implementing the real-time event handling unit.","PeriodicalId":103267,"journal":{"name":"2020 International Conference on Development and Application Systems (DAS)","volume":"41 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":"132099122","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
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
Pub Date : 2020-05-01 DOI: 10.1109/DAS49615.2020.9108974
M. Nicola, C. Nicola, D. Sacerdoțianu
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.
本文提出了一种基于直接转矩控制(DTC)控制策略的永磁同步电动机无传感器控制系统,其中速度控制器为迭代学习控制(ILC)类型。在由PMSM控制系统执行重复性任务的情况下,建议使用该控制系统。此外,如果负载转矩(被认为是速度控制系统的干扰信号)具有振荡变化,则ILC控制器的优越性导致性能良好。为了提高控制系统的可靠性,将速度传感器替换为MRAS(模型参考自适应系统)速度观测器。本文介绍了永磁同步电动机的方程、控制系统的方程、观测器的方程以及在Matlab/Simulink中的实现。比较了PI、PI- ilc律速度控制器的控制结果。PI-ILC律速度控制器具有优良的性能和参数鲁棒性。根据数值模拟的结果,在以后的文章中推荐了在嵌入式系统中的实现。
{"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
期刊
2020 International Conference on Development and Application Systems (DAS)
全部 Acc. Chem. Res. ACS Applied Bio Materials ACS Appl. Electron. Mater. ACS Appl. Energy Mater. ACS Appl. Mater. Interfaces ACS Appl. Nano Mater. ACS Appl. Polym. Mater. ACS BIOMATER-SCI ENG ACS Catal. ACS Cent. Sci. ACS Chem. Biol. ACS Chemical Health & Safety ACS Chem. Neurosci. ACS Comb. Sci. ACS Earth Space Chem. ACS Energy Lett. ACS Infect. Dis. ACS Macro Lett. ACS Mater. Lett. ACS Med. Chem. Lett. ACS Nano ACS Omega ACS Photonics ACS Sens. ACS Sustainable Chem. Eng. ACS Synth. Biol. Anal. Chem. BIOCHEMISTRY-US Bioconjugate Chem. BIOMACROMOLECULES Chem. Res. Toxicol. Chem. Rev. Chem. Mater. CRYST GROWTH DES ENERG FUEL Environ. Sci. Technol. Environ. Sci. Technol. Lett. Eur. J. Inorg. Chem. IND ENG CHEM RES Inorg. Chem. J. Agric. Food. Chem. J. Chem. Eng. Data J. Chem. Educ. J. Chem. Inf. Model. J. Chem. Theory Comput. J. Med. Chem. J. Nat. Prod. J PROTEOME RES J. Am. Chem. Soc. LANGMUIR MACROMOLECULES Mol. Pharmaceutics Nano Lett. Org. Lett. ORG PROCESS RES DEV ORGANOMETALLICS J. Org. Chem. J. Phys. Chem. J. Phys. Chem. A J. Phys. Chem. B J. Phys. Chem. C J. Phys. Chem. Lett. Analyst Anal. Methods Biomater. Sci. Catal. Sci. Technol. Chem. Commun. Chem. Soc. Rev. CHEM EDUC RES PRACT CRYSTENGCOMM Dalton Trans. Energy Environ. Sci. ENVIRON SCI-NANO ENVIRON SCI-PROC IMP ENVIRON SCI-WAT RES Faraday Discuss. Food Funct. Green Chem. Inorg. Chem. Front. Integr. Biol. J. Anal. At. Spectrom. J. Mater. Chem. A J. Mater. Chem. B J. Mater. Chem. C Lab Chip Mater. Chem. Front. Mater. Horiz. MEDCHEMCOMM Metallomics Mol. Biosyst. Mol. Syst. Des. Eng. Nanoscale Nanoscale Horiz. Nat. Prod. Rep. New J. Chem. Org. Biomol. Chem. Org. Chem. Front. PHOTOCH PHOTOBIO SCI PCCP Polym. Chem.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1