检索结果-内蒙古大学图书馆

Evaluation research of dust accumulation factors based on regression

International Journal of Applied Environmental Sciences 2013年第4期8卷 399-408页

作者： Wang, Biao Hu, Xiaomei Xu, Zhifeng Fan, Beibei School of Mechatronic Engineering and Automation Shanghai University Shanghai 200072 China Shanghai Key Laboratory of Mechanical Automation and Robotics Shanghai University Shanghai 200072 China

Dust as a source of air pollution has an important influence on people's health. Research of dust migration can greatly improve the effectiveness of dust control. As a key process of dust migration, dust accumulation is affected by many factors. To reveal the relationship between these factors and dust accumulation, dust accumulation data have been collected for four months at five different locations in Shanghai University campus. Through the analysis of these data by statistic software SPSS, it is shown that the location has the most significant influence, followed by wind speed, non-rain period has relatively weak influence on dust accumulation. Wind direction has no obviously influence on dust accumulation. The analysis result provides important guidance to learn the mechanism of dust migration. ©Research India Publications.

关键词： Dust

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A Robust Road Segmentation Method Based on Graph Cut with Learnable Neighboring Link Weights

A Robust Road Segmentation Method Based on Graph Cut with Le...

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17th International IEEE Conference on Intelligent Transportation Systems & The Asia-Pacific Council on Systems engineering Conference 2014

作者： Jun Yuan Shuming Tang Fei Wang Hong Zhang State Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese Academy of Sciences High-Tech Innovation Engineering Center Institute of AutomationChinese Academy of Sciences Institute of Artificial Intelligence and Robotics of Xi'an Jiaotong University School of Information Engineering Minzu University of China

Road region detection is a crucial functionality for road following in advanced driver assistance systems(ADAS).To address the problem of environment interference in road segmentation through a monocular vision approach,a novel graph-cut based method is proposed in this *** novelty of this proposal is that weights of neighboring links(n-links) in a s-t graph are estimated by Multilayer Perceptrons(MLPs) rather than calculating by the neighboring contrast simply in previous graph-cut based *** n-link weights by MLPs reinforces the ability of graph-cut based road segmentation algorithms to tolerate the complex and changeable appearance of road ***,the Gentle Ada Boost algorithm is integrated into the graph-cut framework to estimate the terminal link(t-link) weights in the s-t *** are conducted to show the robustness and efficiency of the proposed method.

关键词： image A Robust Road Segmentation Method Based on Graph Cut with Learnable Neighboring Link Weights Graph

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A sonar image mosaicing algorithm based on improved SIFT for USV

A sonar image mosaicing algorithm based on improved SIFT for...

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IEEE International Conference on Mechatronics and automation

作者： Hengyu Li Yi Dong Xudong He Shaorong Xie Jun Luo School of Mechatronics Engineering and Automation Shanghai University Shanghai P.R. China Shanghai Key Laboratory of Intelligent Manufacturing and Robotics Shanghai University Shanghai P.R. China

ISBN: (纸本)9781479939800

As the USV (Unmanned Surface Vehicles) works in offshore waters whose operating environment is complex, sonar images obtained are low-resolution, noisy and narrow overlap region, and ultimately led to the sonar image cannot be stitched or get a serious distortion after image mosaicing. In response to these problems, this paper proposes a sonar image mosaicing algorithm based on improved SIFT for USV. For sonar image registration, we applies RANSAC (RANdom Sample Consensus) algorithm to check feature points to improve the accuracy of image registration. For the problem that the distribution of original image brightness is different, this paper conducts brightness normalization algorithms for brightness adjustment. To avoid empty points in stitched image and the problem that mapping coordinates may not be an integer, this paper respectively take inverse mapping method and image interpolation algorithm to solve the problem. In order to improve the sonar image borders and edge fusion effect, this paper proposes a weighted fusion algorithm based on threshold and edge. Finally, the experiments show that the algorithm has a certain practicality.

关键词： Image edge detection Sonar applications Brightness Algorithm design and analysis Sonar equipment Image fusion

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Fabrication of single-walled carbon nanotube-based highly sensitive gas sensors

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Science China(Technological Sciences) 2013年第1期56卷 32-35页

作者： XU Ke TIAN XiaoJun WU ChengDong LIU Jian LI MengXin SUN Ying WEI FaNan School of Information & Control Engineering Shenyang Jianzhu University State Key Laboratory of Robotics Shenyang Institute of AutomationChinese Academy of Sciences School of Information Science and Engineering Northeastern University

A highly sensitive single-walled carbon nanotube(SWCNT)-based ammonia(NH3) gas detector is manufactured by orderly assembling SWCNT using the dielectrophoretical(DEP) *** force microscopy(AFM) and scanning electron microscopy(SEM) images revealed that SWCNTs were assembled between the *** were affected by the electrophoretic force which was carried out by the related theoretical analysis in a nonuniform electric *** SWCNT field effect transistors geometry was *** electrical performance of NH3 gas sensor with the SWCNT field effect transistors geometry was tested before and after the adoption of NH3 at room *** results indicated that the efficient assembly of SWCNT was obtained by the applied alternating current voltage with frequency of 2 MHz and amplitude of 10 *** SWCNTs-based gas sensor had high sensitivity to NH3,and the electrical conductance of NH3 gas sensor reduced two times after interaction with *** SWCNTs surface gas molecules were removed by means of ultraviolet ray irradiation for 10 ***,the fabricated NH3 gas sensor could be *** is a clear evidence that the adsorption of NH3 on the SWCNT channel is easy to be *** theoretical results are consistent with recent experiments.

关键词： single-walled carbon nanotube field effect transistor assembly dielectrophoresis ammonia gas sensor

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Head Behavior Detection Method Based on Optical Flow Theory

Head Behavior Detection Method Based on Optical Flow Theory

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International Conference on Intelligent Environments (IE)

作者： Hui Shao Qijie Zhao Dawei Tu School of Mechatronics Engineering and Automation Shanghai University Shanghai P. R. China Shanghai Key Laboratory of Intelligent Manufacturing and Robotics Shanghai P. R. China

In order to make the intelligent virtual classroom distinguish out the rotation direction of the user's head, a method for head behavior detection based on optical flow is proposed in this paper. Firstly, we select the key feature points of user's facial area. Then we calculate the user's head movement parameter through the data of feature points which have been recorded. Secondly, a kind of head direction sensing model has been provided for detecting the head identified parameters. Finally, according to the interaction mechanism of the interaction scenario, intelligent virtual classroom will respond to the user's head movement based on the result of the head direction judgment. By online tests, the results show that the method is of high recognition rate and quick real-time.

关键词： Head Magnetic heads Image motion analysis Computer vision Optical imaging Real-time systems Feature extraction

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Control of a Two-Wheeled Self-Balancing Robot with Support Vector Regression Method

Control of a Two-Wheeled Self-Balancing Robot with Support V...

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2014 4th IEEE International Conference on Information Science and Technology

作者： Liangliang Cui Yongsheng Ou Junbo Xin Dawei Dai Xiang Gao Guangdong Provincial Key Labortory of Robotics and Intelligent System Shenzhen Institutes of Advanced Technology Chinese Academy of Science the School of Mechanical and Automotive Engineering sSouth China University of Technology the Department of Mechanical and Automation Engineering The Chinese University of Hongkong

Recently, learning based control is a popular topic on robotic applications. This paper presents a novel learning based intelligent control method which realizes the balance control of a statically unstable and dynamically stable robota two-wheeled self-balancing robot. The control strategy could be segmented into two levels: a learning based controller using Support Vector Regression approach as a high level and a traditional PD controller as a low level. Support Vector Regression is utilized to learn the mapping between robot's state data and corresponding actions from experiments by using the inclined angle and its angular speed as inputs and the wheels velocity of the robot needed to keep balance as outputs. And the low level PD controller makes sure the motors achieve the velocity value gained before. Experiments are taken to show that the control method is useful and efficient. Additionally, this paper presents a practice of learning based control.

关键词： learning based control two-wheeled self-balancing robot Kalman filter support vector regression

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Control of a two-wheeled self-balancing robot with support vector regression method

Control of a two-wheeled self-balancing robot with support v...

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International Conference on Information Science and Technology (ICIST)

作者： Liangliang Cui Yongsheng Ou Junbo Xin Dawei Dai Xiang Gao School of Mechanical and Automotive Engineering sSouth China University of Technology Guangzhou China Guangdong Provincial Key Labortory of Robotics and Intelligent System Chinese Academy of Science Department of Mechanical and Automation Engineering Chinese University of Hongkong Hongkong China

Recently, learning based control is a popular topic on robotic applications. This paper presents a novel learning based intelligent control method which realizes the balance control of a statically unstable and dynamically stable robot - a two-wheeled self-balancing robot. The control strategy could be segmented into two levels: a learning based controller using Support Vector Regression approach as a high level and a traditional PD controller as a low level. Support Vector Regression is utilized to learn the mapping between robot's state data and corresponding actions from experiments by using the inclined angle and its angular speed as inputs and the wheels velocity of the robot needed to keep balance as outputs. And the low level PD controller makes sure the motors achieve the velocity value gained before. Experiments are taken to show that the control method is useful and efficient. Additionally, this paper presents a practice of learning based control.

关键词： Mobile robots Support vector machines Mathematical model Equations Accelerometers Mobile communication

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Modeling and analysis of high-speed journal bearing based on thermal hydrodynamic lubrication theory

Modeling and analysis of high-speed journal bearing based on...

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2013 International Conference on Vehicle and Mechanical engineering and Information Technology, VMEIT 2013

作者： Li, Song Sheng Lu, Yu Xin Dong, Ma Li Shao, Juan Yu, Feng School of Mechatronic Engineering and Automation Shanghai Key Laboratory of Manufacturing Automation and Robotics Shanghai University Shanghai 200072 China

ISBN: (纸本)9783037858202

Journal bearing in high-speed working conditions will generate a lot of heat, which affects its working performance. Based on hydrodynamic lubrication theory, a model of the thermal hydrodynamic lubrication was built, and the distributions of temperatures and pressures of the oil film were obtained from the simultaneous solution of generalized Reynolds, energy and viscosity-temperature equations. The results show that the temperature will increase and the pressure decrease of the lubrication oil film with the rising of the rotating speed, which will make the the bearing capacity decrease. Compared with the traditional isothermal model, the thermal hydrodynamic lubrication model is more consistent with the engineering practice. © (2013) Trans Tech Publications, Switzerland.

关键词： Journal bearings

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A novel approach to estimate gaze direction in eye gaze HCI system

A novel approach to estimate gaze direction in eye gaze HCI ...

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2013 5th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2013

作者： Yuan, Xinming Zhao, Qijie Tu, Dawei Shao, Hui School of Mechatronics Engineering and Automation Shanghai University China Shanghai Key Laboratory of Manufacturing Automation and Robotics Shanghai China

ISBN: (纸本)9780769550114

In order to realize head-free eye-gaze tracking human-computer interaction(HCI) system, a novel gaze direction estimation method is proposed in this paper. The point of gaze (PoG) is estimated by building up the geometric mapping relationship between the vector from the infrared light to the eye-gaze point and the vector from the purkinje spot to the pupil center in 3D space. To calculate the position of purkinje spot and pupil center in 3D space, user-dependent parameters, such as the radius of the cornea and the inter-pupillary distance, should be calibrated before using the eye-gaze tracking HCI system. Different from most monocular(2D) vision techniques simplifying the 3D eye-gaze tracking issue into 2D issue, the proposed method uses a single camera to estimate PoG on 2D plane by means of 3D spatial geometry mapping. Experiments on PoG estimation have been done and the results suggest the proposed method is feasible. © 2013 IEEE.

关键词： Mapping

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Comparison of eyes characteristics in different color spaces

Comparison of eyes characteristics in different color spaces

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2013 5th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2013

作者： Cao, Peng Zhao, Qijie Tu, Dawei Shao, Hui School of Mechatronics Engineering and Automation Shanghai University China Shanghai Key Laboratory of Manufacturing Automation and Robotics Shanghai China

ISBN: (纸本)9780769550114

Eye characteristics are significant information in pattern recognition. They are widely applied in many fields, such as human-computer interaction, face recognition and 3D face modeling from 2D images. Generally, the eye information detection is Based on gray images. However, color images provide more information than gray images. According to different applications, choosing a suitable color space is very important. In this paper, several eye features are compared from the view point of different color spaces, such as RGB, HIS, HSV. And some experiments have been done in the three color spaces. The extraordinary bright area of pupil in the H channel of HSV color space is confirmed. Moreover, pupil center is detected and estimated using morphology processing method in H channel. The results show that eyes features are more obvious in the HSV space, and feature extraction is more convenient. Furthermore, the experimental analysis can provide reference for future research on eye characteristic recognition. © 2013 IEEE.

关键词： Face recognition

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