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检索条件"机构=State Key Laboratory of Management and Control for Complex System"

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A study on ARMA model based corporate equipment maintenance expenditure prediction

A study on ARMA model based corporate equipment maintenance ...

引用

2012 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2012

作者： Lv, Minhui Zhao, Hongxia Shchool of Management Department of Equipment Economics and Management Naval University of Engineering Wuhan China State Key Laboratory of Management and Control for Complex System Institute of Automation Chinese Academy of Sciences Beijing China

ISBN: (纸本)9781467324007

This paper focuses on macro prediction of corporate equipment maintenance expenditure, adopts ARMA to establish the model for historical data of corporate equipment maintenance expenditure and makes demand analysis and prediction so as to provide a scientific basis for decision makers in equipment maintenance expenditure prediction, and they can control the overall budget for equipment maintenance. Based on analysis and compassion of actual model calculation results, the paper reaches the conclusion that ARMA model enjoys an advantage over traditional predicting models in corporate equipment maintenance prediction. © 2012 IEEE.

关键词： Forecasting

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Network agenda setting and social cognition construction of the dengue fever epidemic event based on social media big data 2

Network agenda setting and social cognition construction of ...

引用

23rd Pacific Asia Conference on Information systems: Secure ICT Platform for the 4th Industrial Revolution, PACIS 2019

作者： Wang, Yuejiao Cao, Zhidong State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences University of Chinese Academy of Science Beijing China State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China

This article collected dengue-related information in China from News, Apps, Forums, Microblog and WeChat. We extract the 100 highest frequency of agenda settings from News, and built agenda setting networks of the five platforms respectively. Social network analysis methods are used to reveal the characteristics of these five agenda setting networks and the QAP is used to test the correlation between them. The robustness analysis of the results is applied. We found that: the information dissemination in dengue can be roughly divided into three categories: epidemic situation and change, prevention and control measures, and epidemic outbreak area;The context of News has the highest similarity with Apps (correlation coefficient=0.9561, p © Proceedings of the 23rd Pacific Asia Conference on Information systems: Secure ICT Platform for the 4th Industrial Revolution, PACIS 2019.

关键词： Big data

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Regularized Latent Least Square Regression for cross pose face recognition

Regularized Latent Least Square Regression for cross pose fa...

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23rd International Joint Conference on Artificial Intelligence, IJCAI 2013

作者： Cai, Xinyuan Wang, Chunheng Xiao, Baihua Chen, Xue Zhou, Ji State Key Laboratory of Management and Control for Complex Systems Institute of Automations Chinese Academy of Science Beijing China

ISBN: (纸本)9781577356332

Pose variation is one of the challenging factors for face recognition. In this paper, we propose a novel cross-pose face recognition method named as Regularized Latent Least Square Regression (RLLSR). The basic assumption is that the images captured under different poses of one person can be viewed as pose-specific transforms of a single ideal object. We treat the observed images as regressor, the ideal object as response, and then formulate this assumption in the least square regression framework, so as to learn the multiple pose-specific transforms. Specifically, we incorporate some prior knowledge as two regularization terms into the least square approach: 1) the smoothness regularization, as the transforms for nearby poses should not differ too much;2) the local consistency constraint, as the distribution of the latent ideal objects should preserve the geometric structure of the observed image space. We develop an alternating algorithm to simultaneously solve for the ideal objects of the training individuals and a set of pose-specific transforms. The experimental results on the Multi-PIE dataset demonstrate the effectiveness of the proposed method and superiority over the previous methods.

关键词： Face recognition

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Parallel Bus Rapid Transit (BRT) operation management system based on ACP approach

Parallel Bus Rapid Transit (BRT) operation management system...

引用

2012 9th IEEE International Conference on Networking, Sensing and control, ICNSC 2012

作者： Xiong, Gang Dong, Xisong Fan, Dong Zhu, Fenghua State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Science Beijing China

ISBN: (纸本)9781467303880

Bus Rapid Transit (BRT) is an effective way to increase urban traffic capacity. But its operation and scheduling optimization are difficult. In this article, Parallel BRT Operation management system (PBOMS) is constructed based on ACP approach. It can detect the passenger's quantity on station platforms in real-time, traffic flow besides stations or at intersections, and the queuing length of vehicles on the road lines. It can provide short-term passenger and traffic saturation prediction in order to arrange transportation management more accurately to relieve the congestion. It can assess, improve and optimize the emergency management during holidays, public events, accidents and other emergency situations. It can improve the quality of real-time scheduling functions by using the measurement results detected from traffic videos, and so on. This system has been piloted in Guangzhou Zhongshan Avenue BRT, which was applied for BRT's monitoring, warning, forecasting, emergency management, real-time scheduling and other purposes, to improve Guangzhou BRT's smoothness, safety, efficiency and reliability. © 2012 IEEE.

关键词： Risk management

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ϵ-SVR-based estimation for the motion trajectory of human lower limb using acceleration signals

ϵ-SVR-based estimation for the motion trajectory of human l...

引用

2016 IEEE International Conference on Information and Automation, IEEE ICIA 2016

作者： Dongxu, Zhang Zengguang, Hou Long, Cheng Guibin, Bian Xiaoliang, Xie Liang, Peng State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China

ISBN: (纸本)9781509041022

Active training mode has good clinical effect for patients who need lower limb rehabilitation, and estimation for the motion trajectory of human lower limb is one of the most important and fundamental work for active training. In this study, a novel estimation method is proposed based on ϵ-support vector regression (ϵ-SVR) using acceleration signals of lower limb. Firstly, some qualitative variation regularities between acceleration signals of lower limb superficial muscle group and angle values of hip, knee and ankle joints were obtained through the preliminary analysis of the data, which were acquired in the experiments designed and performed in different motion trajectories that were cycling, walk and pedaling. Then, according to the regularities, the input vectors and the output vectors of ϵ-SVR were determined for the estimation model. After that, experimental data were divided into training data and test data. The estimation model was built based on ϵ-SVR using training data. At last, the estimation model was verified through the test data. The results were that the absolute mean error between predicted values and measured values were respectively 6.26, 4.86 and 5.75 for three kinds of motion trajectories that were cycling, walk and pedaling. The effectiveness and applicability of the estimation model for active training of rehabilitation were confirmed. © 2016 IEEE.

关键词： Trajectories

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A novel parking control algorithm for a car-like mobile robot

A novel parking control algorithm for a car-like mobile robo...

引用

2012 9th IEEE International Conference on Networking, Sensing and control, ICNSC 2012

作者： Zhang, Yaru Tang, Shuming Zhang, Zhilin State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China

ISBN: (纸本)9781467303880

This paper proposes a novel algorithm for parking motion of a Car-like mobile robot. The algorithm presented here addresses calculating equations for planning a parking path in real time. Moreover, by incorporating the constraints of the mechanical and kinematical characteristics of the car and the geometry of the parking lot in the path planning, we can turn a parking problem into solving algebraic equations. By tracking a planned path, the Car-like mobile robot can drive into the parking area without hitting any boundaries. The efficiency of the proposed algorithm is demonstrated by simulation. © 2012 IEEE.

关键词： Motion planning

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AGV decision making subsystem based on modified Dempster-Shafer evidence theory and fuzzy logic

AGV decision making subsystem based on modified Dempster-Sha...

引用

2012 IEEE International Conference on Vehicular Electronics and Safety, ICVES 2012

作者： Liu, Yuqiang Huang, Wu-Ling Sun, Tao Zhu, Fenghua State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China

ISBN: (纸本)9781467309929

The AGV decision making subsystem directly affects the performance of the vehicle. The information it uses can be classified into "Objective Information" and "Subjective Information" two major groups. To fuse these two kinds of information, we propose a novel framework for decision in this paper. In the framework, an effective method based on the modified Dempster-Shafer evidence theory was used to make the fusion of the objective and subjective information. In addition, we used fuzzy logic to quantify the subjective information. The experiment shows the proposed method can solve the vagueness and uncertainty of information and achieve decision exactly and credibly. © 2012 IEEE.

关键词： Fuzzy logic

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Rear lamp based vehicle detection and tracking for complex traffic conditions

Rear lamp based vehicle detection and tracking for complex t...

引用

2012 9th IEEE International Conference on Networking, Sensing and control, ICNSC 2012

作者： Li, Ye Yao, Qingming State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China

ISBN: (纸本)9781467303880

In video surveillance system, detection and tracking of vehicles are two foundational and significant tasks. In this paper, a vehicle detection and tracking method based on rear lamp pairs is proposed. The proposed method combines color with motion information to perform vehicle detection. In order to adapt to different weather conditions like night, the rear lamps are divided into two categories: unlit lamps and lighted lamps. First, threshold segmentation are used to extract both the unlit and lighted lamp candidates in hue-saturation-value (HSV) color space and the thresholds are selected automatically by maximally stable extremal region (MSER) method. Then, all lamp candidates are tracked by using Kalman filter and lamp candidates with short-lived trajectories are removed to avoid disturbances. Next, two adjacent lamp candidates with similar speed are bound together as a region of interest (ROI), which represents a potential pair of lamps. Image cross-correlation symmetry analysis based on Gabor filter is utilized to find the ROIs with symmetrical texture and these symmetric ROIs can be regarded as pairs of lamps. The experimental results show that the proposed method can effectively deal with various illumination conditions and improve the accuracy and robustness of vehicle detection. In addition, this method can perform vehicle detection and tracking under complex traffic conditions and the Gabor filter based symmetry analysis can successfully suppress subtle difference between the left and right parts of a vehicle as well as environment noises. © 2012 IEEE.

关键词： Color

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Parallel public transport management and control system for Guangzhou Asian Games

Parallel public transport management and control system for ...

引用

2012 9th IEEE International Conference on Networking, Sensing and control, ICNSC 2012

作者： Dong, Xisong Xiong, Gang Fan, Dong Zhu, Fenghua Lv, Yisheng State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Science Beijing China

ISBN: (纸本)9781467303880

Public traffic is required for the convenient travel, reducing traffic congestion and accidents, low-carbon, environmental protection, sustainable development, and traffic demand of giant sports and large business activities, etc. For public transport demand of the 16th Asian Games and the 2010 Asian Para Games held in Guangzhou in 2010, based on ACP approach, Parallel Public Transport management And control system (PPTMS) for Guangzhou Asian Games had been developed to support management decision of public transport. This system can help public transport managers to improve and enhance significantly the level of public transport management in Guangzhou, from experience-based formulation and manual implementation to scientific computation-based formulation and automatic implementation with intelligent systems, to guarantee the traffic demand effectively during the two Games. © 2012 IEEE.

关键词： Traffic congestion

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Interactive scene text detection on mobile devices

Interactive scene text detection on mobile devices

引用

3rd International Conference on Multimedia Technology, ICMT 2013

作者： Hu, Jinlong Xiao, Baihua Wang, Chunheng Shi, Cunzhao Gao, Song State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China

ISBN: (纸本)9783642414060

With the increasing resolution and availability of digital cameras, text detection in natural scene images receives a growing attention. When taking pictures using a mobile device, people generally only concerned with interesting texts instead of all of the text in the image. In this paper, we propose an interactive method to detect and extract interesting text in natural scene images. We first draw a line to label a region which contains the texts we want to detect. Then a coarse-to-fine strategy is adopted to detect texts in this label region. For coarse detection, we apply Canny edge detection and connected component (CC)-based approach to extract coarse region from the label region. For fine detection, some heuristic rules are specially designed to eliminate some non-text CCs and then to merge the remaining CCs in the coarse region. To better evaluate our algorithm, we collect a new dataset, which includes various texts in diverse real-world scenarios. Experimental results on the proposed dataset demonstrate very promising performance on detecting text in complex natural scenes. © Springer-Verlag Berlin Heidelberg 2014.

关键词： Digital devices

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