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Object-oriented Battlefield Environment Simulation Process Object Model Based on Task-driven

Journal of Geodesy and Geoinformation Science 2019年第3期2卷 31-43页

作者： Jie ZHU Xiong YOU Qing XIA Hongjun ZHANG College of Command and Control Engineering The Army Engineering University of PLA Nanjing 210002 China Institute of Geospatial Information Information Engineering University Zhengzhou 450001 China 73021 Troops Hangzhou 315023 China

Battlefield environment simulation process is an important part of battlefield environment information support, which needs to be built around the task process. At present, the interoperability between battlefield environment simulation system and command and control system is still imperfect, and the traditional simulation data model cannot meet war fighters’ high-efficient and accurate understanding and analysis on battlefield environment’s information. Therefore, a kind of task-orientated battlefield environment simulation process model needs to be construed to effectively analyze the key information demands of the command and control system. The structured characteristics of tasks and simulation process are analyzed, and the simulation process concept model is constructed with the method of object-orientated. The data model and formal syntax of GeoBML are analyzed, and the logical model of simulation process is constructed with formal language. The object data structure of simulation process is defined and the object model of simulation process which maps tasks is constructed. In the end, the battlefield environment simulation platform modules are designed and applied based on this model, verifying that the model can effectively express the real-time dynamic correlation between battlefield environment simulation data and operational tasks.

关键词： battlefield environment simulation GeoBML object-orientated task driven process modeling

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Modeling and Analysis of Contact Detumbling by Using Flexible Brush

Modeling and Analysis of Contact Detumbling by Using Flexibl...

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IEEE International Conference on Unmanned Systems (ICUS)

作者： Wenhua Cheng Zhi Li Yingzi He Department of Graduate Management Space Engineering University Beijing China Department of Space Command Space Engineering University Beijing China Space Intelligent Control Laboratory Beijing Institute of Control Engineering Beijing China

ISBN: (纸本)9781728137933

The prerequisite for capturing a tumbling object is that the angular rate is within a certain span. Within this paper, the feasibility of detumbling a target with contact force by using flexible brush is studied. A generic detumbling model is established and the detumbling process is analysed. The contact force model, including the friction, is derived based on mechanics of materials. With these models, the detumbling process is simulated and the DE (Detumbling-Effect) relationships with each factor are researched.

关键词： Brushes Force Friction Satellites Torque Magnetic fields Aerospace electronics

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Inverted XML Access control Model Based on Ontology Semantic Dependency

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Computers, Materials & Continua 2018年第6期55卷 465-482页

作者： Meijuan Wang Jian Wang Lihong Guo Lein Harn College of Computer Science and Technology Nanjing University of Aeronautics and AstronauticsNanjing210016China Command&Control Engineering College Army Engineering University of PLANanjing 210007China Department of Communications Engineering Nanjing Institute of TechnologyNanjing 211167China University of Missouri Kansas CityAmerican

In the era of big data,the conflict between data mining and data privacy protection is increasing day by *** information security focuses on protecting the security of attribute values without semantic *** data privacy of big data is mainly reflected in the effective use of data without exposing the user’s sensitive *** the semantic association,reasonable security access for privacy protect is ***-structured and self-descriptive XML(eXtensible Markup Language)has become a common form of data organization for database management in big data *** on the semantic integration nature of XML data,this paper proposes a data access control model for individual *** the semantic dependency between data and the integration process from bottom to top,the global visual range of inverted XML structure is *** results show that the model effectively protects the privacy and has high access efficiency.

关键词： Privacy protection access control semantic dependence inverted XML global view

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Output Kernel Learning for Multi-Output Regression

Output Kernel Learning for Multi-Output Regression

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International Conference on Instrumentation, Measurement, Computer, Communication and control (IMCCC)

作者： Yanqin Tang Zhisong Pan Yanyan Zhang Institute of Command Control Engineering Army Engineering University of PLA Nanjing

ISBN: (数字)9781538682463

ISBN: (纸本)9781538682470

Multi-output regression is the extension of single output learning, which requires one input sample to predict multiple real-valued output variables simultaneously. Previous studies have shown that multi-output learning yield to a better predictive performance, mostly because of the multivariate nature and the compound dependencies between the multiple feature/target variables. But these relationships are sometimes hard to detect directly, so it is a challenge to reveal the relationship between these input features and output variables. In order to improve the accuracy of the prediction, we propose a new kernel-based multi-output regression method to study the internal relationship between output variables, called KMOR. Our method is searched the framework between multiple functions and output into a reproducing kernel Hilbert space of vector-valued functions. It constructs input kernel by user-defined to represent the relationship between input characteristics and output kernel by auto-learned to represent the relationship between output variable, we also use an efficient alternating optimization to solve the objective function. We have done experiments on fifteen data sets from a variety of interesting application domains and use relative root mean squared error (RRMSE) as performance measurement, which show that this method can improve the accuracy of regression and has very fast convergence speed in comparison with state-of-the-art methods for multi-output regression.

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Autonomous process collaboration framework for C4ISR system interoperation

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Journal of Systems engineering and Electronics 2017年第6期28卷 1098-1113页

作者： Lin Yang Minggang Yu Qingchao Dong Control Engineering Department Naval Aeronautical and Astronautical University Institute of Command Information System PLA University of Science and Technology

Interoperability plays an important role in the joint command, control, communication, computer, intelligence, surveillance, reconnaissance(C4 ISR) operations. Coordinating and integrating operational processes to fulfill a common mission are challenged by the ever-changing battlefield and hence requires a cross-organizational process management that produces an autonomous, flexible and adaptable architecture for collaborative process evolution. The traditional business process collaboration pattern is based on the predefined "public-view" perspective and cannot meet the requirement of the joint task operations. This paper proposes a flexible visibility control mechanism and a dynamic collaboration framework for modeling and generating collaborative processes. The mechanism allows collaborators to define a set of visibility rules to generate different views of the private processes for different collaborations, which gives a great flexibility for the collaboration initiator to decide on an appropriate collaboration pattern. The framework supports collaborators to dynamically and recursively add a new process or even a new organization to an existing collaboration. Moreover, a formal representation of the processes and a set of generation algorithms are provided to consolidate the proposed theory.

关键词： cross-organizational collaboration interoperability collaborative process joint operations

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Application of Intelligent Algorithms in UAV Geomagnetic Navigation Modeling

Application of Intelligent Algorithms in UAV Geomagnetic Nav...

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IEEE International Conference on Unmanned Systems (ICUS)

作者： Jingli Huang Dan Mei Feng Su Xiangyu Zhang Department of Aeronautical electrical control engineering and command Naval Aeronautical University Qingdao China Qingdao Branch Naval Aeronautical University Qingdao China Institute of Information Fusion Naval Aeronautical University Yantai China

ISBN: (纸本)9781728137933

Rectangular harmonic model is a common model in UAV geomagnetic navigation. In order to reduce the navigational error caused by the model factors and achieve high-precision navigation, the original Earth's main magnetic field model is replaced by rectangular harmonic model. In creating a rectangular harmonic model, inertia weight adaptive particle swarm algorithm is adopted to solve the problem that too many undetermined coefficients can easily fall into local optimum in the central region. The ability of generalization to inhibit the boundary effect of radial basis function neural network is used in the border region. Meanwhile, the design of the error box to a more reasonable distinction between center and boundary is designed. The simulation results show that the optimized combination of the two intelligent algorithm makes the accuracy of the model further higher.

关键词： Navigation Adaptation models Particle swarm optimization Harmonic analysis Neural networks Mathematical model Sociology

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TOPSIS based Earth Station Marking Method

TOPSIS based Earth Station Marking Method

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第30届中国控制与决策会议

作者： Yuan Weiwei Liu Richu Zhang Yanqing Sun Yanbin Jiang Li Cui Lianxin Army Engineering University of PLA Institute of Command and Control Engineering Beijing Institute of remote sensing information

Earth stations(ES) play a vitally important role in satellite communication systems(SCS), and the evaluation of earth stations is in deadly need with the rapid development of SCS application market, but only a few researches have been done on it. In this paper, an earth station marking scheme based on TOPSIS, which is one of the most popular MCDM method, is proposed. By this scheme, the marking result is rational, comprehensive, interpretable and comparable. To take both people's preferences on criteria and objectivity of the result into account, pairwise comparison matrix method is used to calculate weights of criteria. Instead of constructing ideal solution from extreme criteria values of alternatives, fixed positive and negative ideal solutions(FPIS and FNIS) are proposed to avoid rank reversal and keep the result consistent.

关键词： Multi-Criteria Decision-Making(MCDM) Technique for order preference by similarity to ideal solutions (TOPSIS) Satellite Communication System(SCS) Earth Station(ES)

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Impact of Quantum Capacitance on Transmission Characteristics of Carbon Nanotubes Filled Shielded Through-Silicon Vias

Impact of Quantum Capacitance on Transmission Characteristic...

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2018 IEEE International Conference on Computational Electromagnetics, ICCEM 2018

作者： Su, Jinrong Yao, Chunhui Chen, Xue Zhang, Wenmei Dept. Electric and Information Engineering Shanxi University Taiyuan Shanxi030006 China Command and Control Division North Automatic Control Technology Institute Taiyuan030006 China College of Physics and Electronics Shanxi University Taiyuan Shanxi030006 China

ISBN: (纸本)9781538612415

Shielded through-silicon vias (S-TSV) filled with multi-walled carbon nanotubes (MWCNT) in the via and the shielded layer, and benzocyclobutene or silicon in the insulation layer is presented in this paper. Then, the equivalent transmission line models of the two S-TSVs are established. Based on the model, the forward transmission coefficient and attenuation constant are calculated and the impact of quantum capacitance Cq of MWCNT on the transmission performance of S-TSVs is analyzed. The results indicate that the performance of S-TSVs with Si insulation layer in 0-100 GHz can be significantly improved by Cq. Also, the performance of S-TSV filled with BCB above 40 GHz can be improved. In addition, the temperature effect of silicon can be balanced by Cq. As a result, the heat stability of S-TSV with silicon insulation layer is improved. © 2018 IEEE.

关键词： Silicon

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Low Dimensional Representation of Space Structure and Clustering of Categorical Data

Low Dimensional Representation of Space Structure and Cluste...

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IEEE International Conference on Big Data and Cloud Computing (BdCloud)

作者： Jianjun Cao Qibin Zheng Nianfeng Weng Xingchun Diao The 63rd Institute National University of Defense Technology Nanjing China Institute of Command and Control Engineering Army Engineering University of PLA Nanjing China Institute of Command and Control Engineering National University of Defense Technology Nanjing China

ISBN: (纸本)9781728111421;9781728111414

Dissimilarity measurement plays a key role in clustering analysis. Due to the lack of order relation between categorical values, the clustering of categorical data is harder than that of numerical data. To improve the clustering quality of categorical data, SBC (space structure based clustering) algorithm proposed a novel representation scheme for the space structures of them. The representation scheme improved the discriminability of categorical data, while caused problems either: low-efficiency and high-dimensionality. In this work, we prove that it is possible to represent categorical data with the space structure more efficiently while maintaining the same clustering performance. To achieve that, a fraction of representative objects is selected as the reference set, with which a low-dimensional space structure matrix would be built. Since the reference set directly affect the dissimilarity measure, a cluster-based method is proposed to get better reference set. The theoretical and experimental proofs show that, compared with SBC method, the proposed methods are more efficient and extendable maintaining the approximately same clustering performance.

关键词： Clustering algorithms command and control systems Extraterrestrial measurements Aerospace electronics Distributed databases Programmable logic arrays Dimensionality reduction

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An Automatic Exploit Generation Method Based on Symbolic Execution

An Automatic Exploit Generation Method Based on Symbolic Exe...

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International Conference on Instrumentation, Measurement, Computer, Communication and control (IMCCC)

作者： Hao Fang Wenbo Fen Menglin Fu Institute of Command and Control engineering Army Engineering University Of PLA Army Engineering University of PLA Nanjing China

ISBN: (数字)9781538682463

ISBN: (纸本)9781538682470

Return-to-dl-resolve [3] is a general exploit technology that can break through complex protection mechanisms. However, it's hard to be employed for security researchers must understand the principle of ELF dynamic linking and construct shell-code manually. This paper proposes an automatic method to generate Return-to-dl-resolve exploit based on symbolic execution, which provides a symbolic execution environment for ELF executable files, constrains symbolic program state at crash point and solves the constraints through constraint solver, then implements a system called R2d1AEG to generate Return-to-dl-resolve ShellCode automatically. The experimental results show that R2dlAEG system can generate shell-code more quickly and can break both NX and ASLR.

关键词： Computer crashes Ground penetrating radar Geophysical measurement techniques Engines Libraries Security Analytical models

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