2013 IEEE International Conference on Automation Science and Engineering (CASE)最新文献_第5页

Moving trajectories and controller synthesis for an assistive device for arm rehabilitation 一种手臂康复辅助装置的运动轨迹和控制器综合

2013 IEEE International Conference on Automation Science and Engineering (CASE) Pub Date : 2013-11-07 DOI: 10.1109/CoASE.2013.6654052

Lei Jiang, R. Shisheie, M. Cheng, L. Banta, Goudong Guo

引用次数: 10

A next generation collaborative framework for advanced manufacturing 先进制造的新一代协作框架

2013 IEEE International Conference on Automation Science and Engineering (CASE) Pub Date : 2013-11-07 DOI: 10.1109/CoASE.2013.6653998

J. Cecil, R. Gunda, P. Calyam, S. Seetharam

引用次数: 8

A novel design approach for lower limb rehabilitation training robot 一种新的下肢康复训练机器人设计方法

2013 IEEE International Conference on Automation Science and Engineering (CASE) Pub Date : 2013-11-07 DOI: 10.1109/CoASE.2013.6653944

Jiangcheng Chen, Xiaodong Zhang, Rui Li

引用次数: 9

Fine registration of SEM and AFM images using Monte Carlo simulations 使用蒙特卡罗模拟SEM和AFM图像的精细配准

2013 IEEE International Conference on Automation Science and Engineering (CASE) Pub Date : 2013-11-07 DOI: 10.1109/CoASE.2013.6653991

C. Geldmann

引用次数: 1

Prior-knowledge assisted fast 3D map building of structured environments for steel bridge maintenance 先验知识有助于钢桥维修结构环境的快速三维地图构建

2013 IEEE International Conference on Automation Science and Engineering (CASE) Pub Date : 2013-11-07 DOI: 10.1109/CoASE.2013.6653892

S. Sehestedt, G. Paul, David Rushton-Smith, Dikai Liu

引用次数: 7

Virtual metrology enabled early stage prediction for enhanced control of multi-stage fabrication processes 虚拟计量使早期预测增强控制多阶段制造过程

2013 IEEE International Conference on Automation Science and Engineering (CASE) Pub Date : 2013-11-07 DOI: 10.1109/CoASE.2013.6653980

Gian Antonio Susto, A. Johnston, P. O'Hara, S. McLoone

引用次数: 22

A modified social force model considering relative velocity of pedestrians 考虑行人相对速度的修正社会力模型

2013 IEEE International Conference on Automation Science and Engineering (CASE) Pub Date : 2013-11-07 DOI: 10.1109/CoASE.2013.6654008

Yuanjing Gao, P. Luh, Hui Zhang, Tao Chen

{"title":"A modified social force model considering relative velocity of pedestrians","authors":"Yuanjing Gao, P. Luh, Hui Zhang, Tao Chen","doi":"10.1109/CoASE.2013.6654008","DOIUrl":"https://doi.org/10.1109/CoASE.2013.6654008","url":null,"abstract":"Social force model is a widely-used crowd model that simulates pedestrian dynamics based on Newtonian mechanics. It combines physical forces (caused by body compression) with psychological repulsive forces (caused by the pedestrians' inner desire to keep a distance from others or walls) to represent the intentional collision avoidance mechanism. The model can reproduce many collective phenomena (e.g., lane formation, and the “faster is slower” effect). However, there are still things unrealistic in the original social force model. For example, we observe that when pedestrians approach a wall with different velocities, the repulsive forces exerted on them depend only on the distance between them and the wall. As a result, a pedestrian with a higher velocity may experience a stronger collision with the wall than others. However, in reality, he/she is able to predict this stronger collision, and would slow down much earlier than others. This paper introduces a modified social force model in which the pedestrians predict possible collisions using the information of not only positions, but also the velocities: pedestrians predict positions in the next time step based on the current positions and velocities, and the psychological repulsive forces on pedestrians are determined by the predicted positions instead of current positions. With this modified collision avoidance mechanism, pedestrians behave more realistic. Simulation results show that the modified model reduces the oscillation significantly and is more realistic. We also study the relationship between the total evacuation time and the time step of prediction in a specified scenario.","PeriodicalId":191166,"journal":{"name":"2013 IEEE International Conference on Automation Science and Engineering (CASE)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131645072","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: 30

Dynamic production control of door manufacturing line at an automotive assembly plant 某汽车装配厂门生产线的动态生产控制

2013 IEEE International Conference on Automation Science and Engineering (CASE) Pub Date : 2013-11-07 DOI: 10.1109/CoASE.2013.6653997

Cong Zhao, Yongzhen Lu, Jingshan Li

引用次数: 0

Evaluation of improvement probability for IMRT plans IMRT计划改进概率的评估

2013 IEEE International Conference on Automation Science and Engineering (CASE) Pub Date : 2013-11-07 DOI: 10.1109/CoASE.2013.6654023

Siyang Gao, Xi Zhang, Leyuan Shi

引用次数: 0

Event-based optimization with non-stationary uncertainties to save energy costs of HVAC systems in buildings 具有非平稳不确定性的基于事件的建筑暖通空调系统节能优化

2013 IEEE International Conference on Automation Science and Engineering (CASE) Pub Date : 2013-11-07 DOI: 10.1109/CoASE.2013.6654055

B. Sun, P. Luh, Q. Jia, B. Yan

{"title":"Event-based optimization with non-stationary uncertainties to save energy costs of HVAC systems in buildings","authors":"B. Sun, P. Luh, Q. Jia, B. Yan","doi":"10.1109/CoASE.2013.6654055","DOIUrl":"https://doi.org/10.1109/CoASE.2013.6654055","url":null,"abstract":"Building accounts for nearly 40% of global energy consumption, and about 40% of that is consumed by HVAC systems. A typical way of saving HVAC energy cost is to formulate and solve the HVAC operation problem which minimizes the HVAC energy cost in 24 hours ahead. Traditionally, the problem is solved by using time-based approaches where decisions are calculated and executed at each discrete time instant. In this paper, an innovative event-based approach is developed in the Lagrangian relaxation framework so that the decisions are only calculated and executed on an “as needed” basis to reduce computational requirements and extend device lifetimes. Developing such an event-based approach is challenging since with a finite time horizon of 24 hours and non-stationary uncertainties in weather, cooling load, etc., there is no steady-state solution. Events and actions are therefore time-dependent, causing the policy space to be extremely large. Our key idea to overcome this difficulty is to 1) include time-dependent variables that affect decisions in the definition of events so that events and actions will become time-independent and the size of event-based policy will be reduced significantly; and 2) develop a Q-learning method based on events within the Lagrangian relaxation framework to obtain the optimal actions. Numerical results demonstrate significant reductions of computational efforts as compared with time-based approaches with similar levels of energy savings and human comfort.","PeriodicalId":191166,"journal":{"name":"2013 IEEE International Conference on Automation Science and Engineering (CASE)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134418433","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: 13