http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
Visualized Assurance Approach for Enterprise Architecture
Zhi, Qiang,Zhou, Zhengshu,Yamamoto, Shuichiro The Korea Institute of Information and Commucation 2019 Journal of information and communication convergen Vol.17 No.2
In software engineering, to ensure reliability between systems, describing both system architecture and assurance arguments between system elements is considered necessary. There are proposals for system architecture assurance, but use of these traditional methods often requires development of different diagrams using different editors. Because the visual sense of the traditional methods is inadequate, errors readily occur when manipulating different diagrams. Therefore, it is essential that the assurance of dependability between components and systems is visualized and easy to understand. In this paper, an integrated approach to describe the relationship between system actors and system architecture is proposed, and this approach is clarified using an enterprise architecture modeling language. A case study is carried out and comparison to the traditional approach $d^*$ framework is explained. The comparison results show that the proposed approach is more suitable for ensuring dependability in system architecture.
DeepPTP: A Deep Pedestrian Trajectory Prediction Model for Traffic Intersection
( Zhiqiang Lv ),( Jianbo Li ),( Chuanhao Dong ),( Yue Wang ),( Haoran Li ),( Zhihao Xu ) 한국인터넷정보학회 2021 KSII Transactions on Internet and Information Syst Vol.15 No.7
Compared with vehicle trajectories, pedestrian trajectories have stronger degrees of freedom and complexity, which poses a higher challenge to trajectory prediction tasks. This paper designs a mode to divide the trajectory of pedestrians at a traffic intersection, which converts the trajectory regression problem into a trajectory classification problem. This paper builds a deep model for pedestrian trajectory prediction at intersections for the task of pedestrian short-term trajectory prediction. The model calculates the spatial correlation and temporal dependence of the trajectory. More importantly, it captures the interactive features among pedestrians through the Attention mechanism. In order to improve the training speed, the model is composed of pure convolutional networks. This design overcomes the single-step calculation mode of the traditional recurrent neural network. The experiment uses Vulnerable Road Users trajectory dataset for related modeling and evaluation work. Compared with the existing models of pedestrian trajectory prediction, the model proposed in this paper has advantages in terms of evaluation indicators, training speed and the number of model parameters.
Damage and failure characterization of 7075 aluminum alloy hot stamping
Zhiqiang Zhang,Yuejie Cui,Qing-Min Chen 대한기계학회 2022 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.36 No.1
7000 series high strength aluminum alloys are increasingly used in manufacturing automobile body parts to meet the more stringent demands for automobile lightweight. Hot stamping of 7000 series high strength aluminum alloys is a complex thermal-mechanical coupling process and precise simulation is needed to predict material fracture. To obtain damage model of 7075 aluminum alloy in hot stamping, five different stress triaxiality specimens were designed. The fracture strain, critical strain and average stress triaxiality of different specimens were obtained by the hybrid finite element simulation and experiment (FE-EXP) method. GISSMO model of 7075 aluminum alloy at 400 °C was established. Compared with the experimental results of U-shaped part hot stamping under different lubrication conditions, the calibrated GISSMO model was demonstrated to predict the damage behavior of 7075 aluminum alloy during high temperature deformation accurately.
A Highly Efficient Aeroelastic Optimization Method Based on a Surrogate Model
Zhiqiang, Wan,Xiaozhe, Wang,Chao, Yang The Korean Society for Aeronautical and Space Scie 2016 International Journal of Aeronautical and Space Sc Vol.17 No.4
This paper presents a highly efficient aeroelastic optimization method based on a surrogate model; the model is verified by considering the case of a high-aspect-ratio composite wing. Optimization frameworks using the Kriging model and genetic algorithm (GA), the Kriging model and improved particle swarm optimization (IPSO), and the back propagation neural network model (BP) and IPSO are presented. The feasibility of the method is verified, as the model can improve the optimization efficiency while also satisfying the engineering requirements. Moreover, the effects of the number of design variables and number of constraints on the optimization efficiency and objective function are analysed in detail. The accuracy of two surrogate models in aeroelastic optimization is also compared. The Kriging model is constructed more conveniently, and its predictive accuracy of the aeroelastic responses also satisfies the engineering requirements. According to the case of a high-aspect-ratio composite wing, the GA is better at global optimization.
Erasure Codes-based Storage-aware Protocol for Preserving Cloud Data under Correlation Failures
Zhiqiang Ruan,Zhi Li 보안공학연구지원센터 2015 International Journal of Grid and Distributed Comp Vol.8 No.2
Distributed storage of cloud data imposes a great challenge for assuring data availability and reliability in the face of stochastic failures and attacks. Although redundancy scheme such as erasure codes or network coding schemes can be used to improve storage efficiency, they do not consider the scenario that the network may be split up into several regions due to correlated failures of storage components, which may not successfully reconstruct the original data. Furthermore, the stored data on the failed node need to be recovered to keep the same redundancy of network data while introducing low overhead. In view of this, we first devise an efficient algorithm that guarantees residual network has enough data segments to recreate the original data under correlated failures. Second, an efficient data recovery scheme is presented to repair the data stored on the failed nodes in case of Byzantine failures or pollution attacks. The proposed protocol benefits from several key features such as less storage cost, competitive communication cost, and much better data robustness comparing to the state of the art distributed storage systems.
Estimate of comonotonic factor and countermonotonic factor in copula decomposition
Zhiqiang Zgang,Enrong Chen 인하대학교 정석물류통상연구원 2009 인하대학교 정석물류통상연구원 학술대회 Vol.2009 No.10
It is very important to explore the joint distribution functions of dependent random variables in actuarial theory for dependent risks. In this paper, in the basis of the samples, the method of estimating comonotonic factor and countermonotic factor is given through Kendall’s tau and Spearman’s tho between random variables then approximate expression of copula decomposition is acquired. Furthermore, selection Clayton Clayton Copual as an example, a satisfactory result is obtained in error of estimate by stochastic simulations.
Zhiqiang Guo,Deshang Sha,Xiaozhong Liao 전력전자학회 2012 JOURNAL OF POWER ELECTRONICS Vol.12 No.1
Input-series-output-parallel (ISOP) modular converters consisting of multiple modular DC/DC converters can enable low voltage rating switches for use in high voltage input applications. In this paper, an input voltage sharing control strategy for input-series-output-parallel (ISOP) full-bridge (FB) DC/DC converters is proposed. By sensing the difference in the input current of two modules, the system can achieve input voltage sharing for DC-DC modules. The effectiveness of the proposed control strategy is verified by simulation and experimental results obtained with a 200w-50kHz prototype.
Revitalization and Re-cultivation of Vegetation in Karst Region Through Animal
Zhiqiang Lai,Xian-feng Yi,Na Yao,Xiao-Yan Cai,Yongliang Liang,Shize Qin,Yuanrong Chen,Shangmin Qin,M. Pogaonik 한국초지조사료학회 2009 한국초지조사료학회 학술대회논문집 Vol.2009 No.08
From 2002 to 2007, two different systems (shrubs and grasses) were established to raise appropriate ruminants for the purpose of improving biological diversity and fragile ecological environment in the karst-areas through grazing. The objective was to find out a novel way to promote the application of ecological restoration and reconstruction, and the agricultural economy could develop in sustainable way in the karst areas in Guangxi and similar areas in Southwest China.