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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.
Zhiqiang Hou,Yujiao Zhu,Wenjuan Du,Xiangkun Jia,Tiantian Huang,Ke-Jing Huang 한국공업화학회 2022 Journal of Industrial and Engineering Chemistry Vol.112 No.-
Design and development superior electrocatalysts for hydrogen evolution reaction (HER) and oxygen evolution reaction (OER) to future construct a efficient overall water electrolyzer is imperative to relieve energy crisis. Herein, three-dimensional porous network of NiCoP nanosheets being covered by bimetallic phosphides nanoparticles with a ultra-small size of ∼ 7 nm anchored on nickel foam (NF) is synthesized via employing a low-cost hydrothermal and phosphorization reaction, which provides the numerous electrcatalytic active area and reactive sites, benefiting for HER behaviors. Additionally, a top-down structure of F-doped NiCo2Al-LDHs@ZnFeAl-LDHs (F-NC2AL@ZFAL) catalysts supported on NF is also fabricated by a two-step hydrothermal reaction, which could also provide promising OER performances. As expected, the as-prepared HER and OER catalysts manifest the lower overpotential of 58 and 177 mV at 10 mA cm−2 in 1 M KOH solution. Significantly, a overall water electrolyzer assembled by employing the as-prepared HER and OER catalysts displays the various cell voltages of 1.36, 1.55, 1.66, and 1.75 V at the corresponding current densities of 10, 20, 50, and 100 mA cm−2, with the excellent durability for 22 h at 100 mA cm−2. The favorable electrocatalytic behaviors imply the great potential of as-prepared electrocatalysts for overall water splitting.
Rapid warning of wind turbine blade icing based on MIV-tSNE-RNN
Zhiqiang Zhang,Bin Fan,Yong Liu,Peng Zhang,Jianguo Wang,Wenliang Du 대한기계학회 2021 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.35 No.12
A fast early warning algorithm for wind turbine blade icing based on a RNN model is proposed. Through wind turbine blade history data and labels as model input, the evaluation of raw m-dimension data through mean impact value (MIV) indices eliminates data with an MIV index of less than one; the remaining n-dimension data is reduced to x-dimension by the tSNE method; dimensional data is inputted into the RNN, and the model output is the icing state of the wind turbine blade in a certain future period. Based on the SCADA data from a wind field, the model was verified by an example. Using a certain example case, if the model training data is 10 4 orders of magnitude, using the MIV-tSNE-RNN algorithm, the prediction accuracy can reach approximately 72 %; compared with the RNN model, the prediction accuracy is improved by approximately 150 % while reducing the algorithm running time by approximately 45 %. If the amount of data exceeds 10 4 orders of magnitude, using the MIVtSNE-RNN algorithm, the prediction accuracy is improved by approximately 100 %. This algorithm can provide accurate and rapid prediction results for wind turbine blade icing according to actual needs.
Zhiqiang Liu,Yinqi Li,Yi Hao,Zhihao Ma,Xianan Gu 한국정밀공학회 2024 International Journal of Precision Engineering and Vol.25 No.3
The research object of this paper is carbon fiber reinforced thermoplastic composite CF/PEEK. Through control planning of robot motion, simulation and experiment on Paving pressure and paving speed are carried out, and on this basis analysis and optimization are carried out. In the analysis of laying pressure, the deformation of rigid press roll and flexible press roll under different pressures is analyzed by finite element simulation. According to the laying experiment, it is certain that the flexible press roll can obtain better laying quality when laying; different pressures are selected to lay the tow. The laying range of these pressures is determined as 50–250 N according to the quality of the tow. In the temperature experiment, the temperature change of the tow in different layers under different laying speeds is analyzed. Through the experiment, it is found that there is a strong correlation between the laying speed and the laying temperature. The experiment also found that under a certain laying speed, selecting the corresponding heating temperature range can obtain higher laying quality and that selecting appropriate paving process parameters, conducting paving tests, and conducting trajectory planning based on the process can effectively reduce paving defects. Finally, in order to solve the problem of path planning for thin-wall structure carbon fiber placement, a natural path algorithm based on Laplace smoothing is proposed. The algorithm obtains the grid surface through the discretization of the thin-walled surface structure, smooths the grid using the Laplace method, and uses the natural path method to obtain the trajectory. At the same time, the algorithm also considers the layout path boundary and layer design, etc. The problem is to complete the trajectory planning through the fiber path assisted generation software and compare the trajectory points with the traditional surface mesh method to verify the rationality of the trajectory algorithm.
Zhiqiang Wei,Masanori Okuyama,Minoru Noda 한국물리학회 2003 THE JOURNAL OF THE KOREAN PHYSICAL SOCIETY Vol.42 No.IV
BaTiO3 thin lms with perovskite structure have been prepared on Pt/Ti/SiO2/Si substrate using a combined process of conventional MOD process and a hydrothermal treatment using TiO2 precursor. The BaTiO3 thin lms were crystallized on silicon by hydrothermal treatment at temperature of 140 C. The structure development, stoichiometry, spectroscopic, and dielectric properties of BaTiO3 thin lms have been systematically investigated. X-ray diraction patterns show that well-developed crystallites with perovskite phase have been formed. BaTiO3 thin lm obtained by the mono-treatment process shows (100) preferred orientation, but TiO2 peak still exists which indicated that the reaction is not completed. The stoichiometric BaTiO3 thin lms with a (110) preferred orientation were obtained by the multi-treatment process. AFM observation shows that the roughness of surface is improved with the multi-treatment process.The electric properties of the sample prepared by the multi-treatment process is better than that prepared by the mono-treatment process.
Observer-based Finite-time Model Reference Adaptive State Tracking Control with Actuator Saturation
Zhiqiang Wang,Dakuo He,Qiang Zhang,Jiahui Shi 제어·로봇·시스템학회 2020 International Journal of Control, Automation, and Vol.18 No.11
In this paper, the problem of finite-time model reference adaptive state tracking control and the weighted H∞ performance are studied with state unmeasured and actuator saturation. Compared with the existing literature, the state directly measurable problem is relaxed through a state observer. A model reference based adaptive controller is designed to address the state tracking error. Considering the disdifferentiability of the state for the considered system when the controller is saturated, an auxiliary design function is proposed to solve this problem. By utilizing Lyapunov stability theorem, finite-time tracking error bounded and the finite-time weighted H∞ performance are investigated. Moreover, the conservatism of the considered system is investigated by defining the different saturation rates. Finally, examples are provided as a means of illustrating the effective design method.
A Hybrid Public Opinion Analysis Method Based on Improved Clustering and Mutual Information
Zhiqiang Geng,Xia Tang,Yikang Zhang,Yongming Han 보안공학연구지원센터 2015 International Journal of u- and e- Service, Scienc Vol.8 No.3
The Internet is frequently used as a medium for exchange of information and opinions, and it is imperative to conduct public opinion analysis to get people’s opinions well understood and guided. In this paper a hybrid public opinion analysis method based on improved clustering and mutual information is proposed. During feature extraction, the weights of words are modified based on Part-of-Speech Tagging to reduce the dimensions of original texts. As for clustering, a novel density peak algorithm is improved and combined with binary search algorithm to determine the cluster number K and initial centers for KMeans. Then hot words extraction, sentiment analysis and trend analysis for each cluster are processed with mutual information to mine useful knowledge to help decision-making. Extensive experiments are conducted on Hadoop, and the results show that our hybrid Public Opinion Analysis method is quite effective and has certain significance.
Zhiqiang Liu,Yila Su,Huimin Li,Fei Wang 보안공학연구지원센터 2015 International Journal of u- and e- Service, Scienc Vol.8 No.4
In the context of mass customization, to address the issues about method based on Constraint Satisfaction Problem (CSP) in the field of product configuration, a combined product configuration method based on the CSP and Bayesian Network (BN) is proposed in this paper. On the basis of CSP and BN theory, a product configuration model established based on CSP and BN, and the specific method for solving was given, Including the reasoning on posterior probability by establishing the Bayesian Network model and the reasoning on Constraint Satisfaction Problem. Finally, to assemble the computer as an example, a configuration system of assembly computer product is developed so as to verify the feasibility and effectiveness.