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6th IEEE International Conference on Computer and Communications, ICCC 2020

作者： Zhang, Jie Pei, Zhongmin Xiong, Wei Luo, Zhangkai Science and Technology on Complex Electronic System Simulation Laboratory Space Engineering University Beijing China

ISBN: (纸本)9781728186351

In the knowledge graph question answering, the graph neural network can be used to encode the subgraph nodes related to the question entity to select the correct answer node. However, existing researches mainly focus on the modalities for the node encoding with graph neural network, ignoring that different types of subgraphs have different requirements for encoding information. To overcome the problem, this paper divides the subgraph into two types: the searching graph and the extending graph. Then we propose an answer extraction method with graph attention network for the searching graph, which can weight the information of neighbor nodes with different attention instead of the average. The hierarchical attention is also introduced to integrate question information into the subgraph node embedding to obtain the node presentation with question dependency. The accuracy of 48.2% is achieved on the CommonsenseQA dataset, which is much higher than the random guess (20%). In addition, the accuracy of the simplified model with no hierarchical attention decreases by 3.5%, which indicates the hierarchical attention mechanism can improve the predictive performance of the proposed model. © 2020 IEEE.

关键词： Knowledge graph

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A Rapid Evaluation Method of Radar Tracking Accuracy 4

A Rapid Evaluation Method of Radar Tracking Accuracy

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4th International Conference on Electronic Information technology and Computer Engineering, EITCE 2020

作者： Zhao, Zhongwen Zhang, Xu Li, Guodong Science and Technology on Complex Electronics System Simulation Laboratory Space Engineering University Beijing China

ISBN: (纸本)9781450387811

In order to solve the problem that the accuracy evaluation method based on error grouping is complex and can only be applied to post-processing, a fast judgment analysis method of radar tracking accuracy is proposed. This method decouples the two main processes of accuracy evaluation, namely error estimation and error statistics, and achieves fast analysis of radar tracking accuracy through real-Time estimation of local accuracy and fast statistics of average accuracy of whole track. At the same time, this method avoids the discrimination of abnormal errors by applying robust median and median absolute difference estimation, further simplifies the error estimation process, so that it is more suitable for real-Time data analysis. © 2020 ACM.

关键词： Tracking radar

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Decision Tree Pruning Method Using Delayed Sampling 38

Decision Tree Pruning Method Using Delayed Sampling

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38th International Conference on Information Technologies, InfoTech 2024

作者： Mitrofanov, Sergei Alexandrovich Semenkin, Eugene Stanislavovich Reshetnev Siberian State University of Science and Technology Institute of Informatics and Telecommunications Department of System Analysis and Operations Research Krasnoyarsky Rabochy Av. 31 Krasnoyarsk Russia Bauman Moscow State Technical University Scientific and Educational Center "Artificial Intelligence Technologies" 2nd Baumanskaya St. 5 Moscow Russia Siberian Federal University Laboratory "Hybrid Methods of Modeling and Optimization in Complex Systems" Academic Kirensky St. 26a Krasnoyarsk Russia

ISBN: (纸本)9798350365689

Algorithms based on decision trees have been around for quite some time, however, they are still one of the most popular because of their efficiency and the interpretability of their results. One of the main problems of decision trees is their high tendency to overfit. There are various ways to solve this problem, but this paper proposes a new method based on tree pruning using delayed sampling. The tree is trained using the Separation Measure and Differential Evolution algorithms. The proposed approach improves the standard method and is compared with it. The proposed approach demonstrates higher efficiency than the standard algorithm, and also improves the interpretability of the resulting trees. © 2024 IEEE.

关键词： Adversarial machine learning

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VRHD: An Interactive Visualization Method for Hyperspectral Data Based on Volume Rendering 5

VRHD: An Interactive Visualization Method for Hyperspectral ...

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5th IEEE International Conference on Signal and Image Processing, ICSIP 2020

作者： Hao, Hongxing Yu, Ronghuan Hu, Huaquan Fan, Youchen Space Engineering University Science and Technology on Complex Electronic System Simulation Laboratory Beijing China

ISBN: (数字)9781728168968

ISBN: (纸本)9781728168968

As the development of data visualization technology, it becomes more and more convenient to commit data analyzing and mining in some research areas. Data visualization paves the way to understand the abstract numbers in an intuitive manner. This paper focuses on the hyperspectral data analysis by visualization. We research the ray casting based volume data rendering method and propose the method termed Volume Rendering of Hyperspectral Data(VRHD) to visualize the hyperspectral data. The triple control elements including color, transparency and visual district are proposed to do the data analysis and solve the overlapping problem in cubic data visualization by traditional screen. The results prove that the proposed algorithm can help the data user or analyzer to grasp the character of the data such as noise distribution in an integral view. © 2020 IEEE.

关键词： Remote sensing

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GPIO Based Iterative Learning Control for Manipulators with Time-Varying Disturbances

GPIO Based Iterative Learning Control for Manipulators with ...

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第42届中国控制会议

作者： Huangyuwei Lu Zuo Wang Jiankun Sun Xi Xiao Shihua Li School of Automation Southeast University Key Laboratory of Measurement and Control of Complex systems of Engineering Ministry of Education Shenzhen Research Institute Southeast University School of Artificial Intelligence and Automation Huazhong University of Science and Technology Aviation Key Laboratory of Science and Technology on Aero Electromechanical System Integration

To improve the disturbance rejection ability and repetitive tracking accuracy of manipulators,a composite iterative learning control(ILC) scheme via generalized proportional integral observer(GPIO) is proposed.A high-order polynomial is first employed to model the time-varying disturbances that include unmodeled dynamics,parameter uncertainties and load fluctuations.A GPIO is then designed to estimate the disturbances and high-order time *** introducing estimations into a PD-type ILC at each iteration,a composite control scheme is obtained,such that the undesirable influence of time-varying disturbances can be effectively attenuated in the repetitive tracking process of *** this paper,the rigorous stability analysis of the closed-loop system is presented to guarantee that the tracking error exponentially converges to zero as the iteration number tends to *** effectiveness of the proposed control scheme is finally verified by simulation results.

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Gated Driver Attention Predictor

arXiv

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arXiv 2023年

作者： Zhao, Tianci Bai, Xue Fang, Jianwu Xue, Jianru College of Transportation Engineering Chang’an University Xi’an China Science and Technology on Complex System Control and Intelligent Agent Cooperative Laboratory Beijing China College of Artificial Intelligence Xi’an Jiaotong University Xi’an China

Driver attention prediction implies the intention understanding of where the driver intends to go and what object the driver concerned about, which commonly provides a driving task-guided traffic scene understanding. Some recent works explore driver attention prediction in critical or accident scenarios and find a positive role in helping accident prediction, while the promotion ability is constrained by the prediction accuracy of driver attention maps. In this work, we explore the network connection gating mechanism for driver attention prediction (Gate-DAP). Gate-DAP aims to learn the importance of different spatial, temporal, and modality information in driving scenarios with various road types, occasions, and light and weather conditions. The network connection gating in Gate-DAP consists of a spatial encoding network gating, long-short-term memory network gating, and information type gating modules. Each connection gating operation is plug-and-play and can be flexibly assembled, which makes the architecture of Gate-DAP transparent for evaluating different spatial, temporal, and information types for driver attention prediction. Evaluations on DADA-2000 and BDDA datasets verify the superiority of the proposed method with the comparison with state-of-the-art approaches. Copyright © 2023, The Authors. All rights reserved.

关键词： Forecasting

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A Multi-objective Bat Algorithm for Software Defect Prediction 14th

A Multi-objective Bat Algorithm for Software Defect Predicti...

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14th International Conference on Bio-inspired Computing: Theories and Applications, BIC-TA 2019

作者： Wu, Di Zhang, Jiangjiang Geng, Shaojin Cai, Xingjuan Zhang, Guoyou Complex System and Computational Intelligent Laboratory Taiyuan University of Science and Technology Taiyuan030024 China

ISBN: (纸本)9789811534249

Both the class imbalance of datasets and parameter selection of support vector machine (SVM) play an important role in the process of software defect prediction. To solve these two problems synchronously, the false positive rate (pf) and the probability of detection (pd) are considered as two objective functions to construct the multi-objective software defect prediction model in this paper. Meanwhile, a multi-objective bat algorithm (MOBA) is designed to solve this model. The individual update strategy in the population is performed using the individual update method in the fast triangle flip bat algorithm, and the non-dominated solution set is used to save the better individuals of the non-defective module and the support vector machine parameters. The simulation results show that MOBA can effectively save resource consumption and improve the quality of software compared with other commonly used algorithms. © 2020, Springer Nature Singapore Pte Ltd.

关键词： Support vector machines

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Gated Driver Attention Predictor

Gated Driver Attention Predictor

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International Conference on Intelligent Transportation

作者： Tianci Zhao Xue Bai Jianwu Fang Jianru Xue College of Transportation Engineering Chang'an University Xi'an China Science and Technology on Complex System Control and Intelligent Agent Cooperative Laboratory Beijing China College of Artificial Intelligence Xi'an Jiaotong University Xi'an China

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A DQN-based hyperheuristic algorithm for emergency scheduling of Earth observation satellites

A DQN-based hyperheuristic algorithm for emergency schedulin...

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作者： Zheng Liu Wei Xiong Space Engineering University Science and Technology on Complex Electronic System Simulation Laboratory

With the surge of emergency task demand,largescale Earth observation satellite emergency scheduling has become a practical problem which is urgent to be *** view of this situation,this paper analyzes the constrains and conflict relationship in this problem,and proposes a DQNbased hyperheuristic *** algorithm includes encoding and decoding,deep Q-network and several low-level heuristic operators.A Markov decision model of this problem is established and 7 low-level heuristic operators are designed according the feature of this *** training,DQN behaves well when selecting operators for the scheduling ***,several groups of comparative experiments verify the algorithm's ability in solving large-scale satellite emergency scheduling problems.

关键词： DQN hyperheuristic EOS emergency scheduling

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A Region Preference-based Optimization Algorithm for Satellite Mission Planning Problem

A Region Preference-based Optimization Algorithm for Satelli...

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作者： Minghui Xiong Wei Xiong Science and Technology on Complex Electronic System Simulation Laboratory Space Engineering University

For the earth observation satellite mission planning problem, objectives such as observed target quantity, observation profit, energy consumption, image quality should be considered simultaneously, which is a many-objective optimization problem. Classical optimization-based mission planning algorithms obtain a set of non-dominated solutions in the entire search space, while only a single satisfy final plan is desired by decision maker. In this paper, a five-objective optimization model for satellite mission planning problem is constructed, then a region preference-based evolutionary algorithm, HMOEA-T, is applied to obtain the desired solutions. The decision makers describe the preference on each objective in target region form, then the algorithm guides a more detailed search within the preference region rather than the entire Pareto front. Comparative studies with preference-based methods(T-NSGA-III) and classical methods(NSGA-III) are conducted. We have exemplified the proposed method manage to obtain the solutions satisfying the mission planning preference and achieve better performance in convergence and diversity.

关键词： Optimization algorithm Preference articulation Satellite mission planning Many-objective optimization model

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