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IEEE Wireless Communications and Networking Conference

作者： Peng Liu Jia Xu Biao Xu Key Laboratory of Complex Systems Modeling and Simulation School of Computer Science and Technology Hangzhou Dianzi University

ISBN: (纸本)9781467398152

In Mobile Opportunistic Networks, there are special cases of multicast in which destinations (except the total number) are not predetermined. E.g., a person tries to find another three players to play poker without knowing them. Achieving efficient data routing in this scenario (target any k destinations among m of them) can be very challenge due to (1) no predetermined destinations, (2) extra delay cost by the destinations collision, and (3) difficulty of the receiver quantity control. We define this as a K-Anycast problem, the goal is to route copies of the message to any k destinations with the shortest average delay. In this paper, we first propose a matching method to solve the problem in a centralized way. We then bring forward a layered hierarchical structure where nodes are organized according to their degree of activities. Based on the structure, two routing algorithms are proposed where K-Cast initializes exactly k copies of the message without replication in the middle, K-Epidemic performs epidemic routing only in a controlled range. Both algorithms will first forward copies upwards along the structure and then downwards to the destinations. Experiments on real data trace show that the proposed algorithms achieve much better delay, delivery ratio and lower forwarding numbers.

关键词： Mobile Opportunistic Network Anycast Data routing Destination collision

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An efficient storage technology for object-based distributed storage system

International Journal of Control and Automation

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International Journal of Control and Automation 2015年第11期8卷 337-348页

作者： Zhang, Jilin Su, Yucheng Wan, Jian Zhou, Li Wang, Jue Zhang, Lei College of Electrical Engineering Zhejiang University Hangzhou China School of Computer Science and Technology Hangzhou Dianzi University Hangzhou China Key Laboratory of Complex Systems Modeling and Simulation Ministry of Education China Supercomputing Center of Computer Network Information Center Chinese Academy of Sciences Beijing China Computer Science Department Beijing University of Civil Engineering and Architecture Beijing China

There have two effective ways to improve the overall efficiency of the object-based distributed storage system, one is network caching technology and the other is metadata server cluster load balancing strategy. Under the heterogeneous storage environments, object-based distributed file system face the key challenge of lacking caching mechanism for the high-frequency access files, metadata server load imbalance also reduce the overall efficiency. To address these challenges, we discuss the design and implementation of an object-based distributed file storage caching system, and propose a weight-based metadata server cluster load balancing strategy. It effectively improve the metadata processing capacity. Based on the results, it demonstrated the feasibility and the efficiency of our methods. © 2015 SERSC.

关键词： Metadata

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Research and implementation of CDP disaster recovery system based on oracle

International Journal of Control and Automation

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International Journal of Control and Automation 2015年第11期8卷 325-336页

作者： Ren, Yongjian Ye, Jiaolong Zhang, Jilin Zhou, Li Wang, Jue Zhang, Lei School of Computer Science and Technology Hangzhou Dianzi University Hangzhou China Key Laboratory of Complex Systems Modeling and Simulation Ministry of Education China College of Electrical Engineering Zhejiang University Hangzhou China Supercomputing Center of Computer Network Information Center Chinese Academy of Sciences Beijing China Computer Science Department Beijing University of Civil Engineering and Architecture Beijing China

The OraCDP disaster recovery system uses CDP disaster recovery technology based on the combination of block level, combining with the communication coupling between the underlying I/O and Oracle database. The experimental results show that the OraCDP system can not only maintain the normal operation of the original system without any negative influence, but also guarantee the recovery of data and service at specific time quickly, fully and accurately. © 2015 SERSC.

关键词： Recovery

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Research on Multi-agent Based C4ISR Effectiveness simulation and Evaluation

Research on Multi-agent Based C4ISR Effectiveness Simulation...

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International Conference on Computer Modeling and simulation, ICCMS

作者： Zhang Ying-chao Ye Feng Yu Qin-zhang Chen Xin National Key Laboratory of Science and Technology on Complex Systems Simulation Beijing Institute of System Engineering Beijing China

The effectiveness evaluation of C4ISR is playing a more and more important role in its designing, developing and using. According to its characters, such as complexity and intelligence, the traditional evaluation methods and systems are not feasible and effective enough. In this paper, a multi-agent based simulation and evaluation framework of C4ISR is advanced, which includes the architecture and the working procedure. The agent-based simulation model of C4ISR is put forward, according to which the C2 Agent, Armament Agent and the Evaluation Agent are founded. The interaction model between each agent is also designed. At final, based on the Swarm, a multi-agent based C4ISR effectiveness simulation and evaluation prototype is developed, through which NATO C2 effectiveness evaluation is thoroughly analyzed.

关键词： Analytical models Computational modeling Computer simulation Adaptive systems Intelligent agent Design engineering systems engineering and theory Laboratories Virtual prototyping Information technology

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Photo Aesthetic Quality Assessment via Label Distribution Learning

Photo Aesthetic Quality Assessment via Label Distribution Le...

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IEEE International Conference on systems, Man, and Cybernetics

作者： Xiaowei Zhang Fei Gao Di Huang Min Tan Jun Yu Key Laboratory of Complex Systems Modeling and Simulation School of Computer Science and Technology Hangzhou Dianzi University Hangzhou China

ISBN: (纸本)9781509018987

Automatic prediction of photo aesthetic quality is useful for many practical purposes. Current computational approaches typically solved this problem by assigning a categorical label (good or bad) to a photo. However, due to the subjectivity and complexity of humans aesthetic judgments, only a categorical label is insufficient to represent humans perceived aesthetic quality of a photo. This paper focuses on an interesting problem: is it possible to predict the crowed opinions about the aesthetic quality of a photo? The crowed opinion here is expressed by the distribution of scores given by a number of subjects. For each given photo, a deep convolutional neural network (DCNN) is utilized to calculate its feature representation. Afterwards, the crowed opinion prediction problem is formulated as one of label distribution learning (LDL). Experiments show that the proposed method is highly effective and outperforms state-of-the-art algorithms.

关键词： label distribution support regressor photo quality assessment convolutional neural network deep learning label distribution learning

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Unmanned Marine Emergency Response System technology

Unmanned Marine Emergency Response System Technology

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IEEE International Conference on Unmanned systems (ICUS)

作者： Hongli Zhang Yuanyun Song Chao Chen Xianying Chu Beijing Aerospace Technology Research Institute Beijing China Science and Technology on Complex Aviation Systems Simulation Laboratory Beijing China

ISBN: (纸本)9781728137933

With the global climate change, the frequency and destructiveness of emergencies in the coastal areas worldwide have increased in recent years. The rapid response of the existing equipment and means is insufficient. It is urgent to improve response speed for marine research, disaster investigation, marine rescue, maritime surveillance and other maritime emergencies. With the development of high-speed civil aircraft technology, the high-speed UAV platform can form an unmanned emergency response system, taking advantage of fast arrival, wide coverage and flexibility. The simulation shows that the unmanned emergency system has outstanding advantages compared with the existing subsonic UAV, and can effectively execute emergency marine missions.

关键词： Unmanned aerial system Marine emergency event Rapid response FAST-RESPONSE ANTENNA SYSTEM marine Emergencies UNMANNED rescue system Emergency Services EMERGENCY RESPONSE existing equipment Marines Reaction Time destructive behavior coastal area

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An Interacting-Multiple-Model Method for Tracking a Hypersonic Glide Target

An Interacting-Multiple-Model Method for Tracking a Hyperson...

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Chinese Control and Decision Conference, CCDC

作者： Jingshuai Huang Hongbo Zhang Shang Wu Guojian Tang Weimin Bao National University of Defense Technology College of Aerospace Science and Engineering Changsha China Science and Technology on Complex Aviation Systems Simulation Laboratory Beijing

ISBN: (数字)9781728158556

ISBN: (纸本)9781728158563

In terms of tracking a hypersonic glide target (HGT), a tracking method is proposed based on interacting-multiple-model (IMM). Target tracking mainly contains two missions: system modeling and choosing filtering algorithm. First, a tracking system is established composed of state and measurement equations on basis of ground-based radar measuring. The Singer model is used to represent the unknown aerodynamic acceleration. Then, to enhance model adaptation of the tracking method, three-model interacting filter is constructed with maneuver-frequency adaption based on unscented Kalman filter (UKF). Through tracking a flight trajectory generated by Gauss Pseudospectral Method, the effectiveness of the proposed method is validated and the multiple-model is superior to the single-model.

关键词： Target tracking Radar tracking Electronic mail Kalman filters Adaptation models Mathematical model Aerospace engineering

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Aggregation Encoding: Reducing Network Traffic for Big Data Erasure-Coded Storages

Aggregation Encoding: Reducing Network Traffic for Big Data ...

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International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, CyberC

作者： Jing Zhang Shanshan Li Xiangke Liao Xiaodong Liu School of Computer Science and Technology National University of Defence Technology Changsha China Science and Technology on Complex Aviation Systems Simulation Laboratory Beijing China

ISBN: (纸本)9781467392013

Erasure-coded storages provide data reliability for big data archiving and backup with high storage efficiency. However, erasure code generates a large amount of data transmission traffic in both encoding (write) and decoding (repair) which costs substantial bandwidth in the network. Most of the existing work focus on the decoding cost due to the importance of data repair, but unfortunately overlooks the encoding cost. In this paper, we propose Aggregation Encoding for reducing the bandwidth cost of the encoding phase in erasure-coded storages. Aggregation Encoding takes inspiration from network coding to enforce encoding through data transmission, which reduces redundant information transmitting. The extensive analysis and experimental results demonstrate that Aggregation Encoding reduces bandwidth cost by 20% in average.

关键词： Encoding Bandwidth Routing Vegetation Network topology Topology Approximation methods

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A Survey of Knowledge Enhanced Pre-trained Models

arXiv

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arXiv 2021年

作者： Yang, Jian Hu, Xinyu Xiao, Gang Shen, Yulong Computer Science and Technology Xidian University Xi’an China National Key Laboratory for Complex Systems Simulation Beijing China

Pre-trained language models learn informative word representations on a large-scale text corpus through self-supervised learning, which has achieved promising performance in fields of natural language processing (NLP) after fine-tuning. These models, however, suffer from poor robustness and lack of interpretability. We refer to pre-trained language models with knowledge injection as knowledge-enhanced pre-trained language models (KEPLMs). These models demonstrate deep understanding and logical reasoning and introduce interpretability. In this survey, we provide a comprehensive overview of KEPLMs in NLP. We first discuss the advancements in pre-trained language models and knowledge representation learning. Then we systematically categorize existing KEPLMs from three different perspectives. Finally, we outline some potential directions of KEPLMs for future research. Copyright © 2021, The Authors. All rights reserved.

关键词： Knowledge representation

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The Architecture of Digital System Model for systems-of-systems Engineering

The Architecture of Digital System Model for Systems-of-Syst...

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Chinese Automation Congress (CAC)

作者： Xinghai Gao Yaqi Zhang Zhuoqi Wang Institute of Unmanned System Beihang University Beijing China Science and Technology on Complex Systems Simulation Laboratory Beijing China

The rapid increasing challenges of modeling and simulation for systems-of-systems Engineering (SoSE) is to deal with their large-scale and complexity of heterogeneous and inter-dependent constituent systems. Typically, the method of structural modeling provides a thorough understanding of the composition and operation of different elements, but loses sight of the dynamic characteristics of the systems or components. To make a comprehensive analysis of the System-of-systems (SoS), the solution of behavior modeling will be more important to adapt to the evolving of the SoS, which focus on understanding the constituent systems and their relationships, and evaluating changes of the constituent system, and continuously responding to the new requirements and options of SoS. This paper discusses how to support the application of modeling and simulation (M&S) based on the framework of SysML to describe the architecture and capability of SoS, and combined with the process and activities of model-based system engineering (MBSE).

关键词： Unified modeling language Object oriented modeling Analytical models Digital systems Adaptation models

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