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張瀟劍(Zhang, XiaoJian) 한국국제사법학회 2007 國際私法硏究 Vol.- No.13
China is one of the original parties to the United Nations Convention on Contracts for the International Sale of Goods (CISG), which was passed in Vienna on April 11, 1980 and came into effect on January 1, 1988. China signed the CISG on September 30, 1981, ratified and deposited the ratification document on December 11, 1986. In ratifying the CISG, Chinese government declared reservation to the Article 1(1)(b) and Article 11.
Shuyou Zhang,Ci He,Xiaojian Liu,Jinghua Xu,Yanqiang Sun 한국정밀공학회 2020 International Journal of Precision Engineering and Vol.21 No.12
This paper focuses on optimization of kinematic chain to reduce force-induced error in the scheme design phase of a fiveaxis machine tool. After conducting process planning on the machining target, local deformation of motion units in cutting positions is considered using a geometric way. A mathematical model is then established describing the influence of local deformation error on the general machining error through homogeneous transformation matrices. Conceptual model of the machine tool is constructed to obtain deformation distribution using static FEA. Error sensitivity coefficients are then calculated and compared among all alternative kinematic chains to select the optimized scheme. The proposed method is verified through a designing example of a fi ve-axis vertical machining center. The optimized kinematic chain could lower the magnitude of deformation sensitivities by 9.69% and increase error equalization variance by 71.25% compared to the conventional method.
Game Analysis on Logistics Cloud Service Discovery and Combination
Shuiwang Zhang,Xiaojian Hu 보안공학연구지원센터 2015 International Journal of u- and e- Service, Scienc Vol.8 No.10
In order to analyze the premise condition of logistics cloud service discovery and composition and provide the basis for subsequent research, the logistics cloud service cooperation system framework was constructed from the perspective of modern logistics Virtual Enterprise Alliance. Base on this, extracts the preconditions of the logistics cloud service discovery and combination were extracted, then the game models were built and analyzed. Finally, reasonable countermeasures were proposed, which have a certain practical significance for carrying out the cloud logistics and developing the modern logistics.
Wen Zhang,Ruizhu Lin,Zhikun Lu,Huiying Sheng,Yi Xu,Xiuzhen Li,Jing Cheng,Yanna Cai,Xiaojian Mao,Li Liu 대한소아소화기영양학회 2020 Pediatric gastroenterology, hepatology & nutrition Vol.23 No.6
Purpose: Progressive familial intrahepatic cholestasis (PFIC) is a rare genetic autosomal recessive disease caused by mutations in ATP8B1, ABCB11 or ABCB4. Mutational analysis of these genes is a reliable approach to identify the disorder. Methods: We collected and analyzed relevant data related to clinical diagnosis, biological investigation, and molecular determination in nine children carrying these gene mutations, who were from unrelated families in South China. Results: Of the nine patients (five males, four females) with PFIC, one case of PFIC1, four cases of PFIC2, and four cases of PFIC3 were diagnosed. Except in patient no. 8, jaundice and severe pruritus were the major clinical signs in all forms. γ-glutamyl transpeptidase was low in patients with PFIC1/PFIC2, and remained mildly elevated in patients with PFIC3. We identified 15 different mutations, including nine novel mutations (p.R470HfsX8, p.Q794X and p.I1170T of ABCB11 gene mutations, p.G319R, p.A1047P, p.G1074R, p.T830NfsX11, p.A1047PfsX8 and p.N1048TfsX of ABCB4 gene mutations) and six known mutations (p.G446R and p.F529del of ATP8B1 gene mutations, p.A588V, p.G1004D and p.R1057X of ABCB11 gene mutations, p.P479L of ABCB4 gene mutations). The results showed that compared with other regions, these three types of PFIC genes had different mutational spectrum in China. Conclusion: The study expands the genotypic spectrum of PFIC. We identified nine novel mutations of PFIC and our findings could help in the diagnosis and treatment of this disease.
Ding Chen,XiaoJian Zhang,Han Ding 한국정밀공학회 2020 International Journal of Precision Engineering and Vol.21 No.11
This paper proposes a generalized numerical differentiation method for stability prediction of the non-autonomous delayed differential equations (DDEs) with periodic coefficients and discrete delays. Firstly, the periodic DDE is described in statespace form and the period of a system is equally discretized. Then, the discrete first derivatives versus time are approximated by a linear combination of the state function values at multiple neighboring sampling grid points based on the finite-difference formulas. Such that, the original DDE is approximated as a series of algebraic equations and the Floquet transition matrix can be constructed on one period. At last, the system stability is determined according to the Floquet theory by checking the eigenvalues. The delayed damped Mathieu equation is regarded as a typical case to verify the effectiveness and efficiency of the presented method. The stability diagrams and rate of convergence are computed in comparison with those via the benchmark algorithm (the semi-discretization method). As an application, the presented method is used to predict the stability of milling with variable pitch cutter, and the computational result agrees well with the experimentally verified example
Lu Yao,Shaofeng Zhang,Hang Yu,Jiajing Xu,Xiaojian Cao,Yan Ma 대한토목학회 2022 KSCE JOURNAL OF CIVIL ENGINEERING Vol.26 No.11
This paper mainly numerically investigates the ultimate compression strength of un-strengthened and CFRP-strengthened steel tubes with random pitting corrosion damage. First, a developed numerical method for steel tubes with random corroded pits is introduced in detail. The accuracy of a similar numerical method is verified through the corresponding experimental measurement and numerical prediction. Then, the ultimate axial compression behavior of steel tubes with random elliptical corroded pits is numerically investigated. Several influencing factors on the ultimate strength of corroded steel tubes under axial compression load are simulated and compared, including different random distributions, region size of corroded pits, number of pits, and depth of pits. Subsequently, the method for strengthening steel tubes by using CFRPs is studied and conducted on the corroded regions of steel tubes. The reliability of steel tubes strengthened by FRP is validated through experimental and numerical results. Finally, the residual compression performance and progressive damage mechanisms of CFRP-strengthened steel tubes are researched. The different parametric influences on the strengthened performance of FRPs are simulated, including layer direction, number of composite layers, and composite materials. The results demonstrate that FRP can improve the axial compression resistance of corroded steel tubes.
Wang Caicheng,Wang Zili,Zhang Shuyou,Liu Xiaojian,Tan Jianrong 한국CDE학회 2023 Journal of computational design and engineering Vol.10 No.3
With light weight, high strength, and high performance, metal bent tubes have attracted increasing applications in aeronautics. However, the growing demand for customized tubular parts has led to a significant increase in the cost of conventional tube-bending processes, as they can only process tubes of a specific diameter. To this end, this paper proposes a variable diameter die (VDD) scheme which can bend tubes with a specific range of diameters. To investigate the formability of VDD-processed tubes for practical VDD applications, an accurate and reliable prediction method of cross-sectional distortion is imperative. Hence, we pioneer a novel intelligent model based on quantum-behaved particle swarm optimization (QPSO)-optimized back-propagation neural network (BPNN) to predict a rational cross-sectional distortion characterization index: average distortion rate. The adaptive adjustment of coefficients and the Gaussian distributed random vector are introduced to QPSO, which balance the search and enhance the diversity of the population, respectively. For further improvement in optimization performance, the informed initialization strategy is applied to QPSO. The efficiency of the proposed reinforced QPSO (RQPSO)-optimized BPNN model is evaluated by comparing the results with those of the BPNN, BPNN with Xavier initialization, several different particle swarm optimization variants-optimized BPNN models, and variants of popular machine learning models. The results indicated the superiority of RQPSO over other methods in terms of the coefficient of determination (${R}^2$), variance account for, root mean square error (MSE), mean absolute error, and standard deviation of MSE. Thus, the proposed novel algorithm could be employed as a reliable and accurate technique to predict the cross-sectional distortion of VDD-processed tubes.