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Chinese control Conference (CCC)

作者： Chengjue Yuan Dewei Li Dewei Xi Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai Jiao Tong University Shanghai CN

Prediction of the future traffic states of the overall city arterial networks provides the process of urban traffic evolution for researchers, which can serve as reference information for the city traffic authorities. However, the complexity and heterogeneity of urban traffic system and the big data challenge have proven to be substantial difficulties. A probabilistic tree modeling framework for estimating the overall traffic states is proposed in this paper. Firstly, we extract several typical traffic states covering the overall characteristics. Secondly, the state predicting algorithm based on dynamic Variable-order Markov Model and Genetic Algorithm is developed, where different date attributes were evaluated separately. Finally, the prediction model using probability tree with multiple prediction steps is verified. Experimental results using traffic speed data in Shanghai demonstrate the high accuracy and efficiency of the proposed method.

关键词： Urban areas Roads Prediction algorithms Markov processes Predictive models Vehicles Detectors

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Continuous Systolic Blood Pressure Measurement Based on Improved Pulse Transit Time

Continuous Systolic Blood Pressure Measurement Based on Impr...

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第35届中国控制会议

作者： Meng Xie Bo Yang Cailian Chen Xinping Guan Peijun Hong Department of Automation Shanghai Jiao Tong UniversityKey Laboratory of System Control and Information Processing Ministry of Education of China

ISBN: (纸本)9781509009107

Continuous blood pressure monitoring is essential to prevent and cure cardiovascular diseases（CVDs）.Using pulse transit time（PTT） is a well-known potential approach for continuous blood pressure *** can be easily obtained from electrocardiogram（ECG） and photoplethysmography（PPG）.This method is convenient and comfortable because it is cuffless and ***,the precision of systolic blood pressure（SBP） measurement via PTT is low until now and the relativity of SBP with PTT needs to be *** goal of this paper is to improve the accuracy of SBP measurement via *** key proposals are provided to achieve this ***-pass filter and wavelet denoising in series are applied to remove noise on ECG.A new characteristic point on ECG is introduced as the starting point of pulse arrival time（PAT） to replace the R-peak of *** pre-ejection period（PEP） is estimated using heart rate（HR） to compute *** experiment shows that the accuracy is improved by 8.4% in average,compared to ordinary method.

关键词： Systolic Blood Pressure Wavelet Denoising Pre-ejection Period New Characteristic Point Mean Absolute Difference

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Solution to dynamic economic dispatch with prohibited operating zones via MILP

arXiv

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arXiv 2017年

作者： Pan, Shanshan Jian, Jinbao Yang, Linfeng College of Electrical Engineering Guangxi University Nanning530004 China Guangxi Colleges Universities Key Laboratory of Complex System Optimization and Big Data Processing Yulin Normal University Yulin537000 China College of Computer Electronics and Information Guangxi University Nanning530004 China

Dynamic economic dispatch (DED) problem considering prohibited operating zones (POZ), ramp rate constraints, transmission losses and spinning reserve constraints is a complicated non-linear problem which is difficult to solve efficiently. In this paper, a mixed integer linear programming (MILP) method is proposed to solve such a DED problem. Firstly, a novel MILP formulation for DED problem without considering the transmission losses, denoted by MILP-1, is presented by using perspective cut reformulation technique. When the transmission losses are considered, the quadratic terms in the transmission losses are replaced by their first order Taylor expansions, and then an MILP formulation for DED considering the transmission losses, denoted by MILP-2, is obtained. Based on MILP-1 and MILP-2, an MILP-iteration algorithm (MILP-IA) is proposed to solve the complicated DED problem. The effectiveness of the MILP-1 and MILP-IA are assessed by several cases and the simulation results show that both of them can solve to competitive solutions in a short time. Copyright © 2017, The Authors. All rights reserved.

关键词： Wave transmission

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A Short-Term Traffic Flow Forecasting Method and Its Applications

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Journal of Shanghai Jiaotong university(Science) 2015年第2期20卷 156-163页

作者：刘思妍李德伟席裕庚汤奇峰 Department of Automation Key Laboratory of System Control and Information Processing of Ministry of Education Shanghai Jiaotong University

Short-term forecast of urban traffic flow is very important to intelligent transportation. Although the conventional methods have some advantages, to some extent, in improving the traffic forecast's precision, it is still hard to achieve high accuracy. In this paper, we propose a short-term traffic flow forecasting method, which is based on the hybrid particle swarm optimization-neural network(HPSO-NN) with error compensation *** HPSO-NN, the hybrid PSO algorithm is employed to train the structures and parameters of the feed-forward advanced neural network, while the error compensation mechanism is employed to improve the accuracy. HPSONN is used to forecast the vehicle velocity in Shanghai North-South Viaduct. Experimental results show that the HPSO-NN, compared with the auto-regressive and moving average(ARMA) model, can forecast traffic flow with a higher accuracy. What's more, we have also found that HPSO-NN with error compensation mechanism has better performance than that of HPSO-NN alone.

关键词： short-term velocity forecast intelligent transportation systems(ITS) neural network(NN) hybrid particle swarm optimization-neura

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Soft-Sensing Method with Online Correction Based on Semi-Supervised Learning

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Journal of Shanghai Jiaotong university(Science) 2015年第2期20卷 171-176页

作者：汤奇峰李德伟席裕庚 Department of Automation Key Laboratory of System Control and Information Processing of Ministry of Education Shanghai Jiaotong University

Soft sensing has been widely used in chemical industry to build an online monitor of the variables which are unmeasurable online or measurable online but with a high cost. One inherent difficulty is insufficiency of the training samples because the labeled data are limited. Besides, the traditional soft-sensing structure has no online correction mechanism. The forecasting result may be incorrect if the working condition is changed. In this work, a semi-supervised learning(SSL) method is proposed to build the soft-sensing model by use of the unlabeled data. Meanwhile, an online correction mechanism is proposed to establish a soft-sensing approach. The mechanism estimates the input variables at each step by a prediction model and calibrates the output variables by a compensation model. The experimental results show that the proposed method has better prediction accuracy and generalization ability than other approaches.

关键词： soft-sensing semi-supervised learning(SSL) online correction neural network

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Linear distance preserving pseudo-supervised and unsupervised hashing 16

Linear distance preserving pseudo-supervised and unsupervise...

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24th ACM Multimedia Conference, MM 2016

作者： Wang, Min Zhou, Wengang Tian, Qi Zha, Zhengjun Li, Houqiang CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application System University of Science and Technology of China China Computer Science Department University of Texas at San Antonio United States

ISBN: (纸本)9781450336031

With the advantage in compact representation and efficient comparison, binary hashing has been extensively investigated for approximate nearest neighbor search. In this paper, we propose a novel and general hashing framework, which simultaneously considers a new linear pair-wise distance preserving objective and point-wise constraint. The direct distance preserving objective aims to keep the linear relationships between the Euclidean distance and the Hamming distance of data points. Based on different pointwise constraints, we propose two methods to instantiate this framework. The first one is a pseudo-supervised hashing method, which uses existing unsupervised hashing methods to generate binary codes as pseudo-supervised information. The second one is an unsupervised hashing method, in which quantization loss is considered. We validate our framework on two large-scale datasets. The experiments demonstrate that our pseudo-supervised method achieves consistent improvement for the state-of-the-art unsupervised hashing methods, while our unsupervised method outperforms the state-of-the-art methods. ©2016 ACM.

关键词： Hamming distance

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Distance control of soft robot using proximity sensor for beating heart surgery

Distance control of soft robot using proximity sensor for be...

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IEEE/SICE International Symposium on system Integration

作者： Yuting Liu Hui Xie Hesheng Wang Weidong Chen Jingchuan Wang Ministry of Education of China Key Laboratory of System Control and Information Processing Department of Automation Shanghai Jiao Tong University Shanghai China State Key Laboratory of Robotics and System (HIT)

ISBN: (纸本)9781509033300

This paper presents the integration of a soft robot with optical fiber based proximity sensor which is designed for beating heart tracking in minimally invasive surgery (MIS). This cable-driven soft robot, made of silicone rubber, is low cost, lightweight, sterilizable and compatible for magnetic resonance (MR) environment. During non-contact and contact situation of robot manipulation, there is a phase where sensory information (force or image) is missing. Our proximity sensor system is designed to solve this problem. The proximity sensor, a 4-point sensor array, uses 4 pairs of emitter and receiver optical fibers to measure the light intensity of surrounding environment. The 4-point sensor array is mounted on the 10 mm diameter soft robot tip, with channels inside its body where cameras and surgical instruments could be integrated into. It is the first time using proximity sensor to control the motion of soft robot in beating heart surgery for the tracking task. A distance calibration model is built before the tracking experiment. Employing a position control method with gravity compensation, experiment is conducted and test results have shown the validity of our controller and system.

关键词： Robot sensing systems Heart Optical fiber cables Optical fibers Optical fiber sensors Calibration

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Optimizing application layer multicast routing via artificial fish swarm algorithm

Optimizing application layer multicast routing via artificia...

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International Conference on Fuzzy systems and Knowledge Discovery (FSKD)

作者： Xuan Ma Rongjun Tang Jingyan Kang Qing Liu Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing Xi'an University of Technology Xi'an China Faculty of Automation and Information Engineering

ISBN: (纸本)9781509040940

In this paper, we propose an approach based on the use of artificial fish swarm algorithm (AFSA) for solving the problem of multicast routing on application layer. Taking delay, stretch, and degree as three optimization objectives, we design the behaviors of artificial fish individual (AF), i.e. moving randomly, preying, following, and use Pareto ranking to evaluate the fitness of AF. The simulation results show that the proposed algorithm is an appropriate method to explore the search space of the complex problem and leads to good solutions in a reasonable amount of time.

关键词： Delays Routing Optimization Fish Network topology Algorithm design and analysis Visualization

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Unknown constrained mechanisms operation based on dynamic interactive control

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CAAI Transactions on Intelligence Technology 2016年第3期1卷 259-271页

作者： Hesheng Wang Bohan Yang Weidong Chen Department of Automation Shanghai Jiao Tong University Shanghai 200240 China Key Laboratory of System Control and Information Processing Ministry of Education of China China State Key Laboratory of Robotics and System Harbin Institute of Technology (HIT) Harbin 150001 China

In order to operate various constrained mechanisms with assistive robot manipulators, an interactive control algorithm is proposed in this paper. This method decouples motion and force control in the constrained frame, and modifies the motion velocity online. Firstly, the constrained frame is determined online according to previous motion direction; then the selection matrix is adjusted dynamically, the constrained motion direction is chosen as the driving-axis. Consequently, the driving-axis and non-driving-axis are decoupled; finally, velocity control and impedance control are implied on above axes respectively. The selecting threshold for driving-axis is also varying dynamically to fit different constrained mechanism. Door-opening experiments are conducted to verify the performance of the proposed method.

关键词： Unknown constrained mechanism Selection matrix Constrained frame Robot manipulator Impedance control

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An Improved Ensemble Learning Method With SMOTE for Protein Interaction Hot Spots Prediction

An Improved Ensemble Learning Method With SMOTE for Protein ...

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IEEE International Conference on Bioinformatics and Biomedicine

作者： Qianqian Huang Xiaolong Zhang Hubei Key Laboratory of Intelligent Information Processing and Real-time Industrial System

ISBN: (纸本)9781509016129

In the protein-protein interactions, only a small subset of hot spot residues contributes significantly to the binding free energy. Therefore, there is an imbalance between the number of hot spots and non-hot spots. The prediction of hot spot residues is very important in the protein-protein interaction. This paper presents an improved ensemble learning method-Adaboost with SMOTE method to deal with the imbalanced data and predict protein hot spots in the latest database SKEMPI. Firstly, the amino acid information such as hydrophobicity of the amino acid and protein structural features is exacted. Then mRMR algorithm was used to select the features. Finally, the protein database is further handled by SMOTE to deal with the imbalance data, the protein hot spots are predicted by the ensemble learning method-Adaboost. Experimental results show that the proposed method has the ability to improve the predict accuracy.

关键词： Adaboost protein-protein interaction hot spots mRMR SMOTE

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