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A coevolutionary framework of business-IT alignment via the lens of enterprise architecture

Journal of systems Engineering and Electronics 2020年第5期31卷 983-995页

作者： LIN Menglong YI Shuanghui ZHANG Mengmeng CHEN Tao CHEN Honghui ZHANG Xiaoxue Science and Technology on Information Systems Engineering Laboratory National University of Defense TechnologyChangsha 410072China National Key Laboratory for Complex System Simulation Academy of Military SciencesBeijing 100000China

Due to the turbulent external business environment, the complexity of internal relations of the organization and the emergence of subversive IT roles, the business-IT alignment(BITA)has become increasingly difficult. The unsuccessful realization of BITA will lead to the waste of organizational resources, the reduction of return on investment and eventually the loss of competitive advantage. In recent years, coevolution has received widespread attention due to its ability to describe the dynamic relationship between IT and business. Multiple principles such as quickening learning action loops and adopt suitable organizing principles for achieving business and IT coevolution(BITC) are obtained. However, the continuous BITC is still hard to be achieved because of the lack of complete BITC management. This paper focuses on the management process of the BITC and how to perform it gradually. A coevolution framework combines the enterprise architecture(EA) approach with the coevolution analysis is proposed, which contains the design of EA, the sensing and governance of the misalignment and the procedure of the EA misalignment *** steps for the governance and prevention of misalignment are discussed in particular. Through comparison with the principles,characteristics and methods of coevolution in the literature, the proposed framework is evaluated. The results show that the proposed framework is effective for BITC implementation.

关键词： business-IT alignment(BITA) coevolution misalignment governance misalignment prevention enterprise architecture

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An optimal energy management development for various configuration of plug-in and hybrid electric vehicle

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Journal of Central South University 2015年第5期22卷 1737-1747页

作者： Morteza Montazeri-Gh Mehdi Mahmoodi-K Systems Simulation and Control Laboratory School of Mechanical EngineeringIran University of Science and Technology Tehran P.O.Box 16846-13114 Iran

Due to soaring fuel prices and environmental concerns, hybrid electric vehicle(HEV) technology attracts more attentions in last decade. Energy management system, configuration of HEV and traffic conditions are the main factors which affect HEV's fuel consumption, emission and performance. Therefore, optimal management of the energy components is a key element for the success of a HEV. An optimal energy management system is developed for HEV based on genetic algorithm. Then, different powertrain system component combinations effects are investigated in various driving cycles. HEV simulation results are compared for default rule-based, fuzzy and GA-fuzzy controllers by using ADVISOR. The results indicate the effectiveness of proposed optimal controller over real world driving cycles. Also, an optimal powertrain configuration to improve fuel consumption and emission efficiency is proposed for each driving condition. Finally, the effects of batteries in initial state of charge and hybridization factor are investigated on HEV performance to evaluate fuel consumption and emissions. Fuel consumption average reduction of about 14% is obtained for optimal configuration data in contrast to default configuration. Also results indicate that proposed controller has reduced emission of about 10% in various traffic conditions.

关键词： plug-in and hybrid electric vehicle energy management configuration genetic fuzzy controller fuel consumption emission

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Modeling the dynamic alignment of business and information systems via the lens of human-centered architecture evolution

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Journal of systems Engineering and Electronics 2021年第4期32卷 881-888页

作者： ZHANG Mengmeng YI Shuanghui CHEN Honghui LUO Aimin LIU Junxian ZHANG Xiaoxue Science and Technology on Information Systems Engineering Laboratory National University of Defense TechnologyChangsha 410072China National Key Laboratory for Complex System Simulation Military Academy of SciencesBeijing 100080China

The complexity of business and information systems(IS)alignment is a growing concern for researchers and practitioners *** extant research on alignment architecture fails to consider the human viewpoint,which makes it difficult to embrace emergent *** paper contributes to the extant literature in the following ***,we combine an enterprise architecture(EA)framework with a human viewpoint to address alignment issues in the architecture design phase;second,we describe a dynamic alignment model by developing a humancentered meta-model that explains first-and second-order changes and their effects on alignment *** paper provides better support for the theoretical research and the practical application of dynamic alignment.

关键词： business and information systems(IS)alignment human viewpoint enterprise architecture(EA) meta-model dynamic alignment

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Diffusion Self-Distillation for Remote Sensing Scene Classification

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IEEE Transactions on Geoscience and Remote Sensing 2025年

作者： Hu, Yutao Zhang, Lei Luo, Xiaoyan Cao, Xianbin Southeast University School of Computer Science and Engineering Nanjing210096 China Nanjing210096 China Beihang University School of Astronautics Beijing100191 China National Key Laboratory of High-Efficiency Earth-Space Round-Trip Transportation Technologies China National Key Laboratory of Integrated Air-Ground Navigation Technologies Beijing International Science and Technology Cooperation Base for Seamless Health Information Collection and Intelligent Processing China Beihang University School of Electronics and Information Engineering Beijing100191 China Ministry of Industry and Information Technology of China Key Laboratory of Advanced Technologies for Near Space Information Systems Beijing100804 China

Remote sensing scene classification, a fundamental task in remote image analysis, has obtained rapid progress due to the powerful capabilities of Convolutional Neural Networks (CNNs). Achieving precise classification performance heavily relies on the feature extraction capacity of the network. However, due to the large variation and severe distortion within the images, extracting robust feature representations is necessary but challenging. Self-distillation could enhance the shallow layers by providing stronger gradients and more accurate supervision from deeper layers, thereby promoting the extraction of spatially detailed features. Nonetheless, due to the limited capacity of shallow layers to learn truly valuable knowledge, shallow layer features can be viewed as the noisy version of deep layer features and contain more disruptive factors, which significantly impedes the effectiveness of self-distillation. To address this issue, in this paper, we establish the Diffusion Self-Distillation Network (DSDNet), which incorporates the conditional diffusion denoising model into the self-distillation framework. Specifically, DSDNet filters noise from shallow features through the diffusion denoising process, enabling more precise and accurate distillation between the refined student features and the teacher features. Extensive experiments on four challenging remote sensing datasets emonstrate that the proposed DSDNet achieves significant performance improvements over various backbone networks with negligible increases in parameters, delivering state-of-the-art classification performance. © 1980-2012 IEEE.

关键词： Knowledge transfer

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Comparison of Acoustic Emission Characteristics for C/SiC Composite Component Under Combination of Heating and Mechanical Loading

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Acta Metallurgica Sinica(English Letters) 2017年第10期30卷 992-998页

作者： Zhi-Yong Tan Chang-Wan Min Hong-Wei Wu Yu-Hai Qian Mei-Shuan Li Science and Technology on Space Physics Laboratory Beijing Institute of Nearspace Vehicle's Systems Engineering Shenyang National Laboratory for Materials Science Institute of Metal ResearchChinse Academy of Sciences

The acoustic emission（AE） characteristics of C/SiC composite component under various conditions were compared, with the purpose of identifying the possible damage and failure mechanism. During the process of the single mechanical loading, the highest amplitude of the AE signal was less than 85 dB and the main damage forms of matrix cracking and interface debonding were involved. For the heating process, high-energy AE signals with an amplitude more than 85 dB were detected and fiber fracture mechanism was determined as well due to the thermal stress caused by the mismatch of the thermal expansion coefficient between the reinforced fiber and matrix. During the combination process of the heating and mechanical loading, it was concluded that the degree of damage was much severer than the simple superposition of damage produced by the individual mechanical loading and the individual heating process.

关键词： C/SiC composite Damage and failure Heating Mechanical loading Acoustic emission

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Two-Stage Point Cloud Super Resolution with Local Interpolation and Readjustment via Outer-Product Neural Network

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Journal of systems science & Complexity 2021年第1期34卷 68-82页

作者： WANG Guangyu XU Gang WU Qing WU Xundong School of Computer Science and Technology Hangzhou Dianzi UniversityHangzhou 310018China Key Laboratory of Complex Systems Modeling and Simulation Ministry of EducationHangzhou 310018China

This paper proposes a two-stage point cloud super resolution framework that combines local interpolation and deep neural network based readjustment. For the first stage, the authors apply a local interpolation method to increase the density and uniformity of the target point cloud. For the second stage, the authors employ an outer-product neural network to readjust the position of points that are inserted at the first stage. Comparison examples are given to demonstrate that the proposed framework achieves a better accuracy than existing state-of-art approaches, such as PU-Net, Point Net and DGCNN(Source code is available at https://***/qwerty1319/PC-SR).

关键词： Neural network outer-product network point cloud super resolution

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The Study of simulation Architecture in Meta-Synthetic Hall 2

The Study of Simulation Architecture in Meta-Synthetic Hall

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2018 2nd International Conference on Data Mining, Communications and Information technology, DMCIT 2018

作者： Zhao, X.J. Kong, L.J. Zhao, J.Y. Science and Technology on Complex Land Systems Simulation Laboratory Beijing China

The meta-synthetic methodology is the scientific and effective way to solve the problems of the complicated large system. Through the meta-synthetic Hall, we combined the expert, repository, and simulation test together, building an environment to realize the Meta-Synthesis methodology. In this article, we put forward simulation architecture for the Meta-Synthesis Hall. With the architecture, we can build the simulation system and do experiment for the Hall, supporting expert discussion and repository accumulation. We can solve the system experiment and data collection problems for complicated large system analysis, enforces system improve and perfect. © Published under licence by IOP Publishing Ltd.

关键词： Architecture

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The demand and conceptual architecture study of complex land system simulation test

The demand and conceptual architecture study of complex land...

引用

2012 International Conference on System simulation, ICUSS 2012

作者： Zhao, X.J. Science and Technology on Complex Land Systems Simulation Laboratory Beijing China

ISBN: (纸本)9781849195386

The complex land system is the major weapon system of army, which accomplish the manifold mission of army on the land. How to test and evaluation the capability and efficiency of the complex land system in the join operations face lots of problems. The demand and conceptual architecture study of land complex system simulation test is the first problem should to be resolve. So, we need first to analysis the demand and conceptual of complex land system, then, we can develop the simulation test system for land complex system which has architecture combat, semi-physical simulation, and engineer compute ability to meet the requirement of the land complex system simulation test. The major point of this paper is to put forward the conceptual model of the land complex land system test and build the architecture of the simulation test environment.

关键词： Computer architecture

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SIP-IFVM: A time-evolving coronal model with an extended magnetic field decomposition strategy

arXiv

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arXiv 2025年

作者： Wang, Hao P. Yang, Li P. Poedts, S. Lani, A. Zhou, Yu H. Gao, Yu H. Linan, L. Lv, Jia K. Baratashvili, T. Guo, Jing H. Rong, L. Su, Z. Li, Cai X. Zhang, M. Wei, Wen W. Yang, Y. Li, Yu C. Ma, Xin Y. Husidic, E. Jeong, H.-J. Mahdi, Najafi Z. Wang, J. Schmieder, B. Centre for Mathematical Plasma-Astrophysics Department of Mathematics KU Leuven Celestijnenlaan 200B Leuven3001 Belgium State Key Laboratory of Space Weather Chinese Academy of Sciences Beijing100190 China Institute of Physics University of Maria Curie-Sklodowska ul. Radziszewskiego 10 Lublin20-031 Poland Von Karman Institute For Fluid Dynamics Waterloosesteenweg 72 Sint-Genesius-Rode Brussels1640 Belgium School of Earth and Space Sciences Peking University Beijing100871 China Beijing Institute of Applied Meteorology Beijing100029 China School of Astronomy and Space Science Key Laboratory of Modern Astronomy and Astrophysics Nanjing University Nanjing210023 China SIGMA Weather Group State Key Laboratory for Space Weather National Space Science Center Chinese Academy of Sciences Beijing100190 China Shenzhen Key Laboratory of Ultraintense Laser and Advanced Material Technology Center for Intense Laser Application Technology College of Engineering Physics Shenzhen Technology University Shenzhen518118 China Space Sciences Laboratory University of California BerkeleyCA94720 United States School of Mathematical Sciences Nanjing Normal University Nanjing210023 China Ministry of Education Key Laboratory of NSLSCS China College of Earth and Planetary Sciences University of Chinese Academy of Sciences Beijing100049 China School of Systems Science Beijing Normal University Beijing100875 China Meudon Principal F-92195 Cedex France SUPA School of Physics & Astronomy University of Glasgow GlasgowG12 8QQ United Kingdom

Time-evolving magnetohydrodynamic (MHD) coronal modeling, driven by a series of time-dependent photospheric magnetograms, represents a new generation of coronal simulations. This approach offers greater realism compared to traditional coronal models constrained by a static magnetogram. However, its practical application is seriously limited by low computational efficiency and poor numerical stability. Therefore, we propose an extended magnetic field decomposition strategy and implement it in the implicit MHD model to develop a coronal model that is both efficient and numerically stable enough for simulating the long-term evolutions of the global corona. The traditional decomposition strategies split the magnetic field into a time-invariant potential field and a time-dependent component B1. It works well for quasi-steady-state coronal simulations where |B1| is typically small. However, as the inner-boundary magnetic field evolves, |B1| can grow significantly larger and its discretization errors often lead to nonphysical negative thermal pressure, ultimately causing the code to crash. In this paper, we mitigate such undesired situations by introducing a temporally piecewise-constant variable to accommodate part of the non-potential field and remain |B1| consistently small throughout the simulations. We incorporate this novel magnetic field decomposition strategy into our implicit MHD coronal model and apply it to simulate the evolution of coronal structures within 0.1 AU over two solar-maximum Carrington rotations. The results show that this coronal model effectively captures observations and performs more than 80 times faster than real time using only 192 CPU cores, making it well-suited for practical applications in simulating the time-evolving corona. © 2025, CC BY-NC-SA.

关键词： Electric corona

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Tactical communication effects federate for distributed simulations based on HLA

Tactical communication effects federate for distributed simu...

引用

2014 International Conference on simulation and Modeling Methodologies, Technologies and Applications, SMTA 2014

作者： Gan, Bin Hao, Jiaxin Zhang, Jingang Science and Technology on Complex Land Systems Simulation Laboratory Beijing China

ISBN: (纸本)9781845649821

Warfare simulation Environment for Army Weapon and Equipment systems (WSAWES) provide a tactically robust environment for simulation experiments. The science and technology on Complex Land systems simulation laboratory has now developed a tactical communication effects federate (TCEF) integrated with QualNet to model tactical communications systems and networks. TCEF interacts with WSAWES’s CGF that creates a constructive force-on-force simulation environment where communications are modeled by the TCEF and behaviors are modeled by the CGF. As the TCEF is already being integrated into distributed experiments in ghost mode, the TCEF services effort appears to be promising in meeting the stated goals, such as analysis for the connectivity and delay. © 2014 WIT Press.

关键词： Military applications

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