2011 IEEE International Conference on Industrial Technology最新文献_第7页

Modeling and backstepping-based control of an electromechanical actuator 机电致动器的建模与反步控制

2011 IEEE International Conference on Industrial Technology Pub Date : 2011-03-14 DOI: 10.1109/ICIT.2011.5754350

A. Kebairi, M. Becherif, M. El Bagdouri, S. Cai

引用次数: 1

Characteristics analysis of multiple in-wheel-induction-motors drive system 多轮内感应电机驱动系统特性分析

2011 IEEE International Conference on Industrial Technology Pub Date : 2011-03-14 DOI: 10.1109/ICIT.2011.5754358

Fei Xu, Liming Shi

引用次数: 4

Knowledge acquisition from in-operation data for water supply system 从供水系统运行数据中获取知识

2011 IEEE International Conference on Industrial Technology Pub Date : 2011-03-14 DOI: 10.1109/ICIT.2011.5754349

Hiroshi Matsuki, Y. Fujimoto

引用次数: 0

Fuzzy logic control of single-link flexible joint manipulator 单连杆柔性关节机械手的模糊逻辑控制

2011 IEEE International Conference on Industrial Technology Pub Date : 2011-03-14 DOI: 10.1109/ICIT.2011.5754392

Ismail H. Akyuz, S. Kizir, Z. Bingul

{"title":"Fuzzy logic control of single-link flexible joint manipulator","authors":"Ismail H. Akyuz, S. Kizir, Z. Bingul","doi":"10.1109/ICIT.2011.5754392","DOIUrl":"https://doi.org/10.1109/ICIT.2011.5754392","url":null,"abstract":"In this paper, a single-link flexible joint robot is designed, fabricated and controlled. Three different fuzzy logic controllers (FLCs) were used to remove link vibrations and to obtain accurate trajectory tracking of link end-point. The input variables of the first and the second FLCs are motor rotation angle error and its derivative, and end-effector deflection error and derivative of deflection error, respectively. The outputs of these controllers are inputs of the third FLC producing the control signal of the flexible joint system. All of the FLCs were embedded in ds1103 real time control board. In the step response experiments, the error of motor rotation angle was obtained less than 0.12 degree and there was no steady-state error in the end-effector deflection. In the different trajectory-tracking experiments with the same FLC structure, small errors and phase shift in the system variables were occurred. Also, parameters of flexible arm were changed to test robustness of the FLC. It is seen that FLC are very robust to internal and external disturbances. Considering the all results of the experiments, FLC shows efficient performance in flexible robot arm.","PeriodicalId":356868,"journal":{"name":"2011 IEEE International Conference on Industrial Technology","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132258656","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: 16

How to not get frustrated with neural networks 如何避免对神经网络感到沮丧

2011 IEEE International Conference on Industrial Technology Pub Date : 2011-03-14 DOI: 10.1109/ICIT.2011.5754336

B. Wilamowski

引用次数: 23

The design object model for robotic assembly of mechanical components 机械零件机器人装配的设计对象模型

2011 IEEE International Conference on Industrial Technology Pub Date : 2011-03-14 DOI: 10.1109/ICIT.2011.5754394

T. Nagai, S. Aramaki, V. Moshnyaga

引用次数: 2

SURF-based spatio-temporal history image method for action representation 基于surf的时空历史图像动作表示方法

2011 IEEE International Conference on Industrial Technology Pub Date : 2011-03-14 DOI: 10.1109/ICIT.2011.5754412

Md Atiqur Rahman Ahad, J. Tan, Hyoungseop Kim, S. Ishikawa

{"title":"SURF-based spatio-temporal history image method for action representation","authors":"Md Atiqur Rahman Ahad, J. Tan, Hyoungseop Kim, S. Ishikawa","doi":"10.1109/ICIT.2011.5754412","DOIUrl":"https://doi.org/10.1109/ICIT.2011.5754412","url":null,"abstract":"Researches on action understanding and analysis are very crucial for various applications in computer vision. However, these face numerous challenges to represent and recognize different complex actions. This paper presents a noble spatio-temporal 3D (XYT) method for recognizing various complex activities, with a blend of local and global feature-based approach for motion representation. We incorporate SURF (Speeded-Up Robust Features), which is a scale- and rotation-invariant interest point detector and descriptor. Based on the interest points, optical flow-based directional motion history and energy images are developed. In this approach, the flow-based motion vectors are split into four different channels. From these channels, the corresponding four directional templates are computed. 56-D feature vector is calculated according to the Hu invariants for each action. k-nearest neighbor classification scheme is employed for recognition. We employ leave-one-out cross-validation method for partitioning scheme. We apply our method to outdoor dataset and we achieve satisfactory recognition results. We compare our method with some of other approaches and show that our method outperforms them.","PeriodicalId":356868,"journal":{"name":"2011 IEEE International Conference on Industrial Technology","volume":"114 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133996781","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: 3

Development of an automated data acquisition system for low speed air-intake studies 低速进气自动数据采集系统的研制

2011 IEEE International Conference on Industrial Technology Pub Date : 2011-03-14 DOI: 10.1109/ICIT.2011.5754377

C. Singh, K. Poddar

引用次数: 1

Fatigue-induced changes in brain nonlinearity inferred by nonparametric and differential equation models of fMRI 由非参数和微分方程模型推断的疲劳引起的大脑非线性变化

2011 IEEE International Conference on Industrial Technology Pub Date : 2011-03-14 DOI: 10.1109/ICIT.2011.5754398

G. Deshpande, Xiaoping Hu

{"title":"Fatigue-induced changes in brain nonlinearity inferred by nonparametric and differential equation models of fMRI","authors":"G. Deshpande, Xiaoping Hu","doi":"10.1109/ICIT.2011.5754398","DOIUrl":"https://doi.org/10.1109/ICIT.2011.5754398","url":null,"abstract":"In this paper we investigated the nonlinear sources of neurophysiologic changes in the motor cortex due to peripheral fatigue using functional magnetic resonance imaging (fMRI). The changes in nonlinearity was tracked from pre- to post-fatigue resting state using patterns of singularities in the complex plane. A significant decrease in nonlinearity with an accompanying decrease in determinism was observed post fatigue. The possible contributing factors for such a change include decreased excitability of cortical neurons and/or changes in neurovascular coupling. The dynamical changes of nonlinearity during the task showed a decrease in nonlinearity in the initial phase of the task followed by a partial recovery that continued into the post-fatigue resting state. This observation not only proves the hypothesis that cortical effects of fatigue extend beyond the fatiguing task, but also strengthens the possibility of changes in the nonlinearity of neurovascular coupling as a result of fatigue. Subsequently the source of nonlinearity was characterized using a polynomial differential equation model. We found that the nonlinearity is primarily driven by a square relation and to some extent by a logarithmic relation. Also, the magnitude of the coefficients contributing to these nonlinearities decrease post-fatigue confirming the earlier observation.","PeriodicalId":356868,"journal":{"name":"2011 IEEE International Conference on Industrial Technology","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123271285","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

Vegetation detection for outdoor automobile guidance 户外汽车导航植被检测

2011 IEEE International Conference on Industrial Technology Pub Date : 2011-03-14 DOI: 10.1109/ICIT.2011.5754402

Duong-Van Nguyen, L. Kuhnert, Tao Jiang, S. Thamke, K. Kuhnert

{"title":"Vegetation detection for outdoor automobile guidance","authors":"Duong-Van Nguyen, L. Kuhnert, Tao Jiang, S. Thamke, K. Kuhnert","doi":"10.1109/ICIT.2011.5754402","DOIUrl":"https://doi.org/10.1109/ICIT.2011.5754402","url":null,"abstract":"Recently, there are many autonomous navigation applications done in outdoor environment. However, safe navigation is still a daunting challenge in terrain containing vegetation. Thus, a study on vegetation detection for outdoor automobile navigation is investigated in this work. At the early state of our research, we focused on the segmentation of LADAR data into two classes by using local three-dimensional point cloud statistics. The classes are: scatter to represent vegetation such as tall grasses, bushes and tree canopy, surface to capture solid objects like ground surface, rocks or tree trunks. However, the only use of 3D features would never result a real robust vegetation detection system because of lacking color information. We, hence, propose a 2D-3D combination approach which can utilize the complement of three-dimensional point distribution and color descriptor. Firstly, 3D point cloud is segmented into regions of homogeneous distance. The local point distribution is then analyzed for each region to extract scatter features. Secondly, a coarse 2D-3D calibration needs to be implemented in order to map the regions to the corresponding color image. Then, color descriptors are studied and applied to each region and considered as color features. Those all scatter and color features will be trained by Support Vector Machine to generate vegetation classifier. Finally, we will show the out-performance of this approach in comparison with more conventional approaches.","PeriodicalId":356868,"journal":{"name":"2011 IEEE International Conference on Industrial Technology","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129570027","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: 28