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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.


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.


Zhang J.,Beijing Institute of Technology | Wang H.,Northwestern Polytechnical University | Liu W.,Northwestern Polytechnical University | Gong Y.,Northwestern Polytechnical University | And 3 more authors.
Proceedings - 2016 IEEE International Conference on Software Quality, Reliability and Security-Companion, QRS-C 2016 | Year: 2016

The safety awareness online detection of driving behavior means that a kind of detection of the ongoing unsafe driving behavior as it starts but before it ends. This type of detection is significant important for achieving safe driving assistant because it is able to recognize the unsafe or aggressive driving behavior in advance and then give a buffer time to issue the vital alert. In order to achieve online detection, it is critical to reduce the processing time spent on the whole behavior recognition procedure, which usually is complex and involves a lot of computation loads. This paper proposes an approach to address the challenge by adopting a methodology of software and hardware co-design. We implement the most computation intensive stages of preprocessing and feature extraction as the hardware cores. A prototype safety awareness online behavior detection system is implemented on the programmable chip (SoPC) by using software and hardware co-design, and the experiment shows its effectiveness. © 2016 IEEE.

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