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Traffic Congestion Prediction using Decision Tree, Logistic Regression and Neural Networks

IFAC-PapersOnLine 2020年第5期53卷 512-517页

作者： Tariku Sinshaw Tamir Gang Xiong Zhishuai Li Hao Tao Zhen Shen Bin Hu Heruye Mulugeta Menkir State Key Laboratory for Management and Control of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 China School of Artificial Intelligence University of Chinese Academy of Sciences Beijing 100049 China Guangdong Engineering Research Center of 3D Printing and Intelligent Manufacturing Cloud Computing Center Chinese Academy of Sciences Dongguan 523808 China China Ship Development and Design Center Wuhan 430064 China Beijing Engineering Research Center of Intelligent Systems and Technology Institute of Automation Chinese Academy of Sciences Beijing 100190 China Debremarkos University Institute of Technology Debremarkos 269 Ethiopia

Traffic congestion is a serious problem around the world and to a great extent influences urban communities in various manners including increased stress levels, delayed deliveries, fuel wastage, and monetary losses. Therefore, an accurate congestion prediction algorithm to limit these misfortunes is fundamental. This paper presents a comparative study of traffic congestion prediction systems including decision tree, logistic regression, and neural networks. Five days of traffic information (1,231,200 samples) are utilized to drive the prediction model. The TensorFlow and the Clementine machine learning platforms are used for data preprocessing, training, and testing of the model. The confusion matrix clears that decision tree has better prediction performance and leads the other two methods with accuracy (97%), macro-average precision (95%), macro-average recall (96%), and macro-average F1_score (96%) in the python programming environment. Moreover, performance of the three prediction models is verified in Clementine environment and decision tree outperforms all other models with an accuracy of 97.65%.

关键词： Confusion matrix Data preprocessing Python TensorFlow Clementine environment ITS

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Deployment strategies of on-orbit service vehicles for multi-objective group and multiple spacecraft

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International Journal of Engineering Systems Modelling and Simulation 2017年第2期9卷 96-102页

作者： Zhang, Jianxin Zhang, Qiang Wei, Xiaopeng Key Lab of Advanced Design and Intelligent Computing Ministry of Education Dalian University Dalian116622 China

A novel deployment method of on-orbit service vehicles (OSVs) design for multiple-objective and multiple-orbit missions is evaluated in this paper. The given deployment method mainly includes four steps, and respectively are: 1) dividing the predetermined region into unequal and independent servicing spaces;2) calculating parking-orbit for different target areas;3) computing the minimum number of OSVs;4) calculating the position elements of each parking-orbit. The proposed method can cover the service areas by using the fewest OSVs, which can improve the efficiency of the OSV program. Although the present exploration of deployment strategy is based on circular orbital models, this method can be directly extended to other orbital models. The calculation examples based on Glonass and GPS constellation orbits shows the proposed method is effective. © 2017 Inderscience Enterprises Ltd.

关键词： Orbits

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Experimental Self-Characterization of Quantum Measurements

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Physical Review Letters 2020年第4期124卷 040402-040402页

作者： Aonan Zhang Jie Xie Huichao Xu Kaimin Zheng Han Zhang Yiu-Tung Poon Vlatko Vedral Lijian Zhang National Laboratory of Solid State Microstructures Key Laboratory of Intelligent Optical Sensing and Manipulation (Ministry of Education) College of Engineering and Applied Sciences and School of Physics Nanjing University Nanjing 210093 China Collaborative Innovation Center of Advanced Microstructures Nanjing University Nanjing 210093 China Department of Mathematics Iowa State University Ames Iowa 50011 USA Shenzhen Institute for Quantum Science and Engineering Southern University of Science and Technology Shenzhen 518055 China Center for Quantum Computing Peng Cheng Laboratory Shenzhen 518055 China Atomic and Laser Physics Clarendon Laboratory University of Oxford Parks Road Oxford OX13PU United Kingdom Centre for Quantum Technologies National University of Singapore 3 Science Drive 2 117543 Singapore

The accurate and reliable description of measurement devices is a central problem in both observing uniquely nonclassical behaviors and realizing quantum technologies from powerful computing to precision metrology. To date quantum tomography is the prevalent tool to characterize quantum detectors. However, such a characterization relies on accurately characterized probe states, rendering reliability of the characterization lost in circular argument. Here we report a self-characterization method of quantum measurements based on reconstructing the response range—the entirety of attainable measurement outcomes, eliminating the reliance on known states. We characterize two representative measurements implemented with photonic setups and obtain fidelities above 99.99% with the conventional tomographic reconstructions. This initiates range-based techniques in characterizing quantum systems and foreshadows novel device-independent protocols of quantum information applications.

关键词： Quantum information processing Quantum measurements Quantum optics Quantum tomography

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Orthogonal Experiment for Desalination Efficiency of Electromagnetic Desalination System

Orthogonal Experiment for Desalination Efficiency of Electro...

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2019 International Conference on Energy, Power, Environment and Computer Application(ICEPECA 2019)

作者： He TIAN Lu DANG Shi-min ZHOU Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control School of Mechanical Engineering Tianjin University of Technology National Demonstration Center for Experimental Mechanical and Electrical Engineering Education Tianjin University of Technology

Electromagnetic desalination system is designed by coupling effect of electric field and magnetic field. By designing the L27(313) orthogonal table as the experimental scheme, the electromagnetic desalination efficiency is used as the data of the range R analysis. The main and secondary factors influencing desalination efficiency are as follows: initial seawater concentration(F)>influent flow(G)>interaction of adsorption voltage(D) and magnetic field(E)> interaction of activated carbon pore size(A) and substrate material(B)>interaction of activated carbon pore size(A) and adsorption voltage(D)> adsorption voltage(D)>magnetic field(E)>number of electrodes(E)>substrate material(B)>activated carbon pore size(A).The best combination of seawater desalination is A2B2C1D3E3F1G2. The range R of factor F is 20.53, which indicates that the initial seawater concentration has a highly significant influence on the desalination effect of seawater.

关键词： Desalination System Orthogonal Experimental design Seawater Desalination Efficiency Influence Factors

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Observing Geometry of Quantum States in a Three-Level System

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Physical Review Letters 2020年第15期125卷 150401-150401页

作者： Jie Xie Aonan Zhang Ningping Cao Huichao Xu Kaimin Zheng Yiu-Tung Poon Nung-Sing Sze Ping Xu Bei Zeng Lijian Zhang National Laboratory of Solid State Microstructures Key Laboratory of Intelligent Optical Sensing and Manipulation (Ministry of Education) College of Engineering and Applied Sciences and School of Physics Nanjing University Nanjing 210093 China Collaborative Innovation Center of Advanced Microstructures Nanjing University Nanjing 210093 China Department of Mathematics & Statistics University of Guelph Guelph N1G 2W1 Ontario Canada Institute for Quantum Computing University of Waterloo Waterloo N2L 3G1 Ontario Canada Department of Mathematics Iowa State University Ames Iowa 50011 USA Department of Applied Mathematics The Hong Kong Polytechnic University 999077 Hong Kong China Institute for Quantum Information & State Key Laboratory of High Performance Computing College of Computer National University of Defense Technology Changsha 410073 China Department of Physics The Hong Kong University of Science and Technology Clear Water Bay Kowloon 999077 Hong Kong China

In quantum mechanics, geometry has been demonstrated as a useful tool for inferring nonclassical behaviors and exotic properties of quantum systems. One standard approach to illustrate the geometry of quantum systems is to project the quantum state space onto the Euclidean space via measurements of observables on the system. Despite the great success of this method in studying two-level quantum systems (qubits) with the celebrated Bloch sphere representation, it is still difficult to reveal the geometry of multidimensional quantum systems. Here we report the first experiment measuring the geometry of such projections beyond the qubit. Specifically, we observe the joint numerical ranges of a triple of observables in a three-level photonic system, providing a complete classification of these ranges. We further show that the geometry of different classes reveals ground-state degeneracies of a Hamiltonian as a linear combination of the observables, which is related to quantum phases in the thermodynamic limit. Our results offer a versatile geometric approach for exploring the properties of higher-dimensional quantum systems.

关键词： Geometric & topological phases Quantum foundations Quantum measurements Quantum phase transitions

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RCGA-Net: An Improved Multi-hybrid Attention Mechanism Network in Biomedical Image Segmentation

RCGA-Net: An Improved Multi-hybrid Attention Mechanism Netwo...

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IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

作者： Feng Xiao Cong Shen Yu Chen Tian Yang Shengyong Chen Zhijun Liao Jijun Tang School of Computer Science and Engineering Tianjin University of Technology Tianjin P.R.China Engineering Research Center of Learning-Based Intelligent System Ministry of Education Tianjin P.R.China School of Basic Medical Sciences Fujian Medical University Fuzhou Fujian P.R.China College of Intelligence and Computing Tianjin University Tianjin P.R.China Key Laboratory of Systems Bioengineering Ministry of Education Tianjin P.R.China Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Shenzhen Guangdong P.R.China University of South Carolina Columbia SC U.S.A.

ISBN: (纸本)9781665429825

Drawing support from an effective Medical Image Segmentation (MIS) is conducive to a substantial diagnostic basis for the physicians to identify the focus lesion in the patient body and give the subsequent clinical assessment of the patient status. Although various works have tried the challenging quantitative analysis problem, it is still difficult to conduct precise automatic segmentation, especially the soft tissue organs. In this decade, with the increased amount of available datasets, deep learning-based networks have achieved remarkable performance in image processing. Inspired by the state-of-the-art deep learning works, in this paper, we propose an end-to-end multi-layer network named RCGA-Net. It consists of an encoder-decoder backbone that integrates a coordinate attention mechanism based on space and channel and a global context extraction module to highlight more valuable information. To evaluate the performance of RCGA-Net, we apply it to different kinds of clinical and experimental MIS tasks to testify its generalization ability. Extensive experiments represent that our schema has taken the outperform or compatible results among the comparison methods group. Specifically, the numeric result of RCGA-Net on the pulmonary dataset has achieved a 99.12% optimum F1-score.

关键词： Deep learning Image segmentation Statistical analysis Lung Predictive models Feature extraction Generative adversarial networks

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Dynamic modeling and simulation of flexible load system operated by reconfigurable manipulators under different constraints 15

Dynamic modeling and simulation of flexible load system oper...

引用

15th IEEE International Conference on Mechatronics and Automation, ICMA 2018

作者： Ma, Huidong Guo, Jinjin Ge, Weimin Wang, Xiaofeng School of Mechanical Engineering Tianjin University of Technology China Tianjin Key Laboratory of the Design and Intelligent Control of the Advanced Mechatronical System Binshui Xidao 391 Xiqing District Tianjin300384 China

ISBN: (纸本)9781538660720

This paper aims at solving the problems that the manipulator will be constrained by the flexible load, and the caused constraint force is difficult to control. Based on the deflection screw theory, the dynamic model of the manipulator system is established by using the Lagrange equation. Firstly, according to the interaction of the end effector, the flexible load and the environmental constraints of the manipulator, the equation of motion of the entire system is built. Secondly, the dynamic model of the manipulator system is set up, that the system including the flexible load and the manipulator. Finally, Under the certain known environmental constraints, the dynamic modeling of a manipulator is performed. The effectiveness of the proposed method is verified by the simulation of a flexible beam operated by a 3-DOF manipulator. © 2018 IEEE.

关键词： Screws

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Dynamic radiomics: A new methodology to extract quantitative time-related features from tomographic images

arXiv

引用

arXiv 2020年

作者： Che, Fengying Shi, Ruichuan Li, Shuqin Wu, Jian Li, Haoran Chen, Weixing Zhang, Hao Qu, Hui Li, Zhi Cui, Xiaoyu College of Medicine and Biological Information Engineering Northeastern University Liaoning Shenyang China Key Laboratory of Intelligent Computing in Medical Image Ministry of Education Key Laboratory of Data Analytics and Optimization for Smart Industry Northeastern University Liaoning Shenyang China Department of Medical Oncology The First Affiliated Hospital of China Medical University Liaoning110001 China Shenzhen College of Advanced Technology University of the Chinese Academy of Sciences Beijing100049 China Department of Breast Surgery Liaoning Cancer Hospital and Institute Cancer Hospital of China Medical University Liaoning Shenyang110042 China

The feature extraction methods of radiomics are mainly based on static tomographic images at a certain moment, while the occurrence and development of disease is a dynamic process that cannot be fully reflected by only static characteristics. This study proposes a new dynamic radiomics feature extraction workflow that uses time-dependent tomographic images of the same patient, focuses on the changes in image features over time, and then quantifies them as new dynamic features for diagnostic or prognostic evaluation. We first define the mathematical paradigm of dynamic radiomics and introduce three specific methods that can describe the transformation process of features over time. Three different clinical problems are used to validate the performance of the proposed dynamic feature with conventional 2D and 3D static *** results show that compared with static features, dynamic feature extraction can achieve higher robustness and accuracy for time-dependent tomographic images. We also found that the dynamic features that influence different clinical problems are also quite different. Copyright © 2020, The Authors. All rights reserved.

关键词： Tomography

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Detection of weld defects based on incremental two-dimensional principal component analysis 15

Detection of weld defects based on incremental two-dimension...

引用

15th IEEE International Conference on Mechatronics and Automation, ICMA 2018

作者： Shen, Yaohua Ge, Weimin Wang, Xiaofeng School of Mechanical Engineering Tianjin University of Technology China Tianjin Key Laboratory of the Design and Intelligent Control of the Advanced Mechanical System Binshui Xidao 391 Xiqing District Tianjin300384 China

ISBN: (纸本)9781538660720

Aiming at the requirements of the real-time detection of weld defects in the industry, the candid covariance-free incremental PCA (CCIPCA) algorithm was introduced into the Two-Dimensional Principal Component Analysis (2PCA) algorithm, therefore an incremental 2DPCA algorithm (I2DPCA) is proposed. Firstly, the images captured by camera are preprocessed to improve the quality of the images because the captured images might be affected in the process of image acquisition. Then the I2DPCA algorithm is used to achieve feature extraction, and the dimension of the images is reduced. Finally, the recognition of weld defects is implemented using the k-nearest neighbor algorithm (KNN). Compared with the methods of traditional recognition by extracting the sizes of several geometric defects, the proposed algorithm has the advantage of the small memory spaces, the high recognition rate and the strong real-time recognition. The experimental results show that the proposed algorithm has higher recognition rate and is more practical than the 2DPCA, and the recognition rate reaches 94%, which can meet the requirements of the real-time detection. © 2018 IEEE.

关键词： Principal component analysis

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Study on vibration and crack propagation control of cracked asymmetric rotor based on three-dimensional finite element model 15

Study on vibration and crack propagation control of cracked ...

引用

15th IEEE International Conference on Mechatronics and Automation, ICMA 2018

作者： Hu, Rong Liu, Jun Chen, Jianen Wang, Xiaofeng Ge, Weimin School of Mechanical Engineering Tianjin University of Technology China Tianjin Key Laboratory of the Design and Intelligent Control of the Advanced Mechanical System Binshui Xidao 391 Xiqing District Tianjin300384 China

ISBN: (纸本)9781538660720

In order to solve the vibration problems of a cracked asymmetric rotor, the three-dimensional finite element model of the rotor is established combined with a nonlinear contact approach. The free interface modal synthesis method is applied to shorten the computation time by reducing the order of the model. The vibration characteristics of the asymmetric rotor and the cracked asymmetric rotor in different crack locations are analyzed by the simulation. The results of numerical simulation show the appearance of crack will affect the resonance frequency and the range of unstable area on the major critical speed. At the same time, the active control of the rotor is realized by the electromagnetic actuator controlled by neural network PID. Secondly, based on the theory of rotor dynamics, the effects of rotational speed and unbalance on the breathing behavior of the cracked rotor are discussed. In this paper, it proposes a novel method delaying the crack extension effectively. In the process of operation, the electromagnetic actuator (EMA) can effectively control the vibration and can delay the crack propagation. © 2018 IEEE.

关键词： Computation theory

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