China Aerospace Academy of Systems Science and Engineering

Science and, China

China Aerospace Academy of Systems Science and Engineering

Science and, China
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Yu J.,China Aerospace Academy of Systems Science and Engineering
Xitong Gongcheng Lilun yu Shijian/System Engineering Theory and Practice | Year: 2016

This article introduces Hsue-shen Tsien's achievements and contributions in the innovation process from systems thinking to systems practice in details, including establishing systems science architecture and the epistemology of systems, systems synthesis architecture and the methodology of systems, systems engineering and the practices of systems. They reflect Tsien's thoughts on systems science, thoughts on systems synthesis, thoughts on systems practice which is thoughts on systems engineering. These achievements have important value on science, great practical meaning and present significance. © 2016, Editorial Board of Journal of Systems Engineering Society of China. All right reserved.


Zhang J.,Beijing Institute of Technology | Jing X.,China Aerospace Academy of Systems Science and Engineering | Zhang W.,China Aerospace Academy of Systems Science and Engineering | Wang H.,Northwestern Polytechnical University | Dong Y.,Northwestern Polytechnical University
Proceedings - 2016 International Symposium on System and Software Reliability, ISSSR 2016 | Year: 2016

In order to improve the quality of Activity Recognition Chain (ARC) systems, an effective testing approach is required to evaluate the functionalities of their major components, especially for two kernel components, the segmentation and recognition components. Both of them largely utilize the machine learning algorithms to achieve the detection and recognition of activity correctly. The probabilistic nature of the machine learning algorithms present severe challenge to the testing for the ARC systems. The article adopts a MT (metamorphic testing) methodology to address this topic. We analyze the MR (metamorphic relation) between the results of segmentation and recognition components. Based on this kind of MR, we propose a two-stage MT based approach for the testing of ARC systems, which exploits the association fact between segmentation and recognition, and then performs the MT testing on them respectively in sequence. This approach is able to deal with the specific issues in ARC systems testing, and provides a general method for systems testing with probabilistic nature. © 2016 IEEE.


Chen J.,CAS Academy of Mathematics and Systems Science | Chen J.,China Aerospace Academy of Systems Science and Engineering | Tang X.,CAS Academy of Mathematics and Systems Science
Journal of Systems Science and Systems Engineering | Year: 2017

Societal risk classification is a fundamental and complex issue for societal risk perception. To conduct societal risk classification, Tianya Forum posts are selected as the data source, and four kinds of representations: string representation, term-frequency representation, TF-IDF representation and the distributed representation of BBS posts are applied. Using edit distance or cosine similarity as distance metric, four k-Nearest Neighbor (kNN) classifiers based on different representations are developed and compared. Owing to the priority of word order and semantic extraction of the neural network model Paragraph Vector, kNN based on the distributed representation generated by Paragraph Vector (kNN-PV) shows effectiveness for societal risk classification. Furthermore, to improve the performance of societal risk classification, through different weights, kNN-PV is combined with other three kNN classifiers as an ensemble model. Through brute force grid search method, the optimal weights are assigned to different kNN classifiers. Compared with kNN-PV, the experimental results reveal that Macro-F of the ensemble method is significantly improved for societal risk classification. © 2017 Systems Engineering Society of China and Springer-Verlag Berlin Heidelberg


Lu J.,Beihang University | Jia G.,Beihang University | Zong H.,China Aerospace Academy of Systems Science and Engineering | He W.,Beihang University
MATEC Web of Conferences | Year: 2017

High-technology enterprises play the leader role in the regional economic progress, but nowadays technological resources have many problems such as division, separation and dispersing. It's an urgent problem to be solved that how to evaluate input-output productivity of technological resources towards industries and regions scientifically and efficiently. Firstly the article analyzes the input-output efficiency status of technological resources at home and abroad. Then high-technology enterprises in 29 provinces, as the subject of evaluation, are analyzed for their operation efficiency by DEA. The article states the suggestions like balanced development among regions and reasonable structure of input and output by comparing the differences among regions. And the article estimates the technological resources configuration efficiency of 5 leader industries and explains the developmental characteristics and direction among industries. And on these bases the article conducts hypothesis testing for inner elements which might have an influence on the operational efficiency by Tobit model. Finally, the paper proposes many suggestions to the benefits of promoting the productivity of high-technology enterprise according to the comprehensive analysis. © The Authors, published by EDP Sciences.


Ma K.,China Aerospace Academy of Systems Science and Engineering | Wang K.,China Aerospace Academy of Systems Science and Engineering
Xitong Gongcheng Lilun yu Shijian/System Engineering Theory and Practice | Year: 2017

Based on the characteristics of science and technology major project, this paper mainly researches how to quantitatively evaluate maturity level of critical technology in the major project. First, we conducted research on the improvement of these related methods of traditional technology readiness levels, such as technology readiness level, design readiness level, manufacturing readiness level, product readiness level, integration readiness level and system readiness level. Next, we put forward the concept of generalized technology readiness level (GTRL). Furthermore, we explored the comprehensive and integrated relationships of those readiness levels, established the GTRL model and the relevant assessment metrics model. Finally, the application model of the GTRL was researched for the phase transition and decision-making during management of science and technology project. The GTRL model, assessment metrics model and application model that are proposed by this paper have been used to conduct the critical technology assessment and management in an aerospace science and technology major project in an overall and accurate way. © 2017, Editorial Board of Journal of Systems Engineering Society of China. All right reserved.


Fang H.,China Aerospace Academy of Systems Science and Engineering | Xue H.,China Aerospace Academy of Systems Science and Engineering | Zhou T.,Hunan Agricultural University
AIP Conference Proceedings | Year: 2017

The golden section sequence of points was defined, and we found that the logarithmic spiral, golden section sequence, and Fibonacci sequence exhibit a close relationship. We considered infinite sums derived from the reciprocals of the golden section numbers and Fibonacci numbers, and infinite sums derived from the reciprocals of the square of the golden section numbers and Fibonacci numbers. Applying the floor function to the reciprocals of these sums, we determined that they are equal to each other. © 2017 Author(s).


Tian T.,China Aerospace Academy of Systems Science and Engineering | Xue H.,China Aerospace Academy of Systems Science and Engineering
IOP Conference Series: Earth and Environmental Science | Year: 2017

In the context of the implementation of the most stringent water resources management system, the role of water demand forecasting for regional water resources management is becoming increasingly significant. Based on the analysis of the influencing factors of water consumption in Guangdong Province, we made the forecast index system of annual water consumption, and constructed the forecast model of annual water consumption of BP neural network, then optimized the regularization BP neural network in utilization rate of water. The results showed that the average absolute percentage error of Bayesian neural network prediction model and BP neural network prediction model is 0.70% and 0.46% respectively. BP neural network model by Bayesian regularization is more ability to improve the accuracy of about 0.24%, more in line with the regional annual water demand forecast high precision requirements. Take the planning index value of Guangdong Province's thirteen five plan into Bayesian neural network forecasting model, and its forecast value is 45.432 billion cubic meters, which will reach 456.04 billion cubic meters of red water in Guangdong Province in 2020. © Published under licence by IOP Publishing Ltd.


Zheng X.,China Aerospace Academy of Systems Science and Engineering | Wang H.,China Aerospace Academy of Systems Science and Engineering | Guo Y.,China Aerospace Academy of Systems Science and Engineering
Proceedings of the International Astronautical Congress, IAC | Year: 2013

China's aerospace is the advocate and successful practitioner of systems engineering method. Under Mr. Qian Xuesen's guidance, China's aerospace gradually explored aerospace systems engineering with Chinese characteristics in engineering practice, which has been successfully applied to assure the success of space missions and the healthy development of the China's aerospace industry. At the same time, China's aerospace carried out research on systems engineering theory and method, and promoted its application in society and economy areas, this work achieved good results. ©2013 by the International Astronautical Federation. All rights reserved.


Zheng X.,China Aerospace Academy of Systems Science and Engineering | Fei X.,China Aerospace Academy of Systems Science and Engineering | Yang H.,China Aerospace Science and Technology Corporation
Proceedings of the International Astronautical Congress, IAC | Year: 2013

Software is widely used in modern space project, there are hundreds of software and programmable logic devices (eg. FPGA, ASIC, CPLD) in great space project. In order to ensure the steady progress of software development and to assure software quality, special methods, such as systems engineering methods, are applied in the software engineering work. The methods include: 1) carrying out software overall design, 2) developing the software engineering specification systems, 3) establishing software organization system at all levels and all the software related organization should get the specific certification, 4) processing the software engineering management orderly and coordinately, 5) carrying out software special inspection. The software developing organizations and testing organizations in China lunar exploration project carried out the software engineering work on these ideas, and got much valuable experience. Copyright ©2013 by the International Astronautical Federation.


Guo J.,Institute of Spacecraft System Engineering | Zheng X.,China Aerospace Academy of Systems Science and Engineering | Zhang Y.,Institute of Spacecraft System Engineering | Fei X.,China Aerospace Academy of Systems Science and Engineering
Proceedings of the International Astronautical Congress, IAC | Year: 2013

This paper analyzes the arising challenges faced by space software production nowadays and discusses the evolutional ways to develop in the future, based on China space software engineering experience. It can give references to develop the space software engineering and industry. Software will be more and more widely used in space systems to realize intelligence and information functions, the future aerospace industry requires enormous qualified software products under the condition of a tight schedule. The essence and features of space software is a typical kind of industrialized products like the hardware, so we can organize the developing and producing work with industrial methodologies, and set up corresponding industrialized infrastructures and capability. The main approaches include: To strengthen the space software system engineering, to promote the standardization, to set up software components library, to raise quality management, and so on. Copyright© (2013) by the International Astronautical Federation.

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