An Embedded Internet interface system

This article has introduced a method to connect the embedded system with Internet, and given a circuit of embedded system connect.     

Generalized Stewart-Gough platforms and their direct kinematics

In this paper, we introduce the generalized Stewart-Gough platform (GSP) consisting of two rigid bodies connected with six distance and/or angular constraints between six pairs of points, lines, and/or planes in the base and the moving platform, respectively. We prove that there exist 3850 possible forms of GSPs. We give the upper bounds for the number of solutions of the direct kinematics for all the GSPs. We also obtain closed-form solutions and the best upper bounds of real solutions of the direct kinematics for a class of 1120 GSPs.     

安全用户平面AGPS移动定位平台设计与实现

安全用户平面辅助性GPS(AGPS:Assist-Global Position System)移动定位平台以其定位精度高、部署成本低等特点而受到运营商的高度重视.开放移动联盟(OMA)相关规范制定了平台的系统结构,但未解决如何判定移动终端是否漫游以及如何判定移动终端是否支持相关定位协议等问题.在分析平台系统结构的基础上给出了解决上述问题的方法,并提出了组件式的平台软件结构,详细设计了核心进程的软件架构,描述了基于该结构的平台中定位请求消息的处理流程.     

大功率变频器在抓斗行车上的应用

本文介绍了艾默生大功率TD3000变频器在抓斗行车的运用。抓斗行车变频改造后，很好地解决了主／闭钢丝绳受力平衡问题，软启软停方式大大降低了起制动时的冲击电流，再加上变频器本身具有完善灵敏保护功能，极大地提高了行车运行的可靠性，延长了系统的使用寿命。     

职务犯罪概念及其成因的法律文化学初探

职务犯罪成因的分析有助于职务犯罪的预防，近年来我国正处于社会转型时期，职务犯罪较为猖獗，本文从法律文化的角度出发，探讨了职务犯罪的概念覆其成因，以期在前人研究的基础上，进一步丰富职务犯罪成因探讨的成果，为我国职务犯罪控制提供法律文化学的对策。     

Modeling of Magneto-Rheological Damper with Neural Network

With the revival of magnetorheological technology research in the 1980＇s, its application in vehicles is increasingly focused on vibration suppression. Based on the importance of magnetorheological damper modeling, nonparametric modeling with neural network, which is a promising development in semi-active online control of vehicles with MR suspension, has been carried out in this study. A two layer neural network with 7 neurons in a hidden layer and 3 inputs and 1 output was established to simulate the behavior of MR damper at different excitation currents. In the neural network modeling, the damping force is a function of displacement, velocity and the applied current. A MR damper for vehicles is fabricated and tested by MTS; the data acquired are utilized for neural network training and validation. The application and validation show that the predicted forces of the neural network match well with the forces tested with a small variance, which demonstrates the effectiveness and precision of neural network modeling.     

Synthesis, Structure and Characterization of Y-Al-Cr Red Pigment

Synthesis, Structure and Characterization of Y-Al-Cr Red Pigment     

Stability analysis and H/sub /spl infin// controller design of fuzzy large-scale systems based on piecewise Lyapunov functions

This paper presents a novel approach to stability analysis of a fuzzy large-scale system in which the system is composed of a number of Takagi-Sugeno (T-S) fuzzy subsystems with interconnections. The stability analysis is based on Lyapunov functions that are continuous and piecewise quadratic. It is shown that the stability of the fuzzy large-scale systems can be established if a piecewise Lyapunov function can be constructed, and, moreover, the function can be obtained by solving a set of linear matrix inequalities (LMIs) that are numerically feasible. It is also demonstrated via a numerical example that the stability result based on the piecewise quadratic Lyapunov functions is less conservative than that based on the common quadratic Lyapunov functions. The H/sub /spl infin// controllers can also be designed by solving a set of LMIs based on these powerful piecewise quadratic Lyapunov functions.     

The reliability of general vague fault-tree analysis on weapon systems fault diagnosis

An algorithm of vague fault-tree analysis is proposed in this paper to calculate fault interval of system components from integrating expert's knowledge and experience in terms of providing the possibility of failure of bottom events. We also modify Tanaka et al's definition and extend the new usage on vague fault-tree analysis in terms of finding most important basic system component for managerial decision-making. In numerical verification, the fault of automatic gun is presented as a numerical example. For advanced experiment, a fault tree for the reactor protective system is adopted as simulation example and we compare the results with other methods. This paper also develops vague fault tree decision support systems (VFTDSS) to generate fault-tree, fault-tree nodes, then directly compute the vague fault-tree interval, traditional reliability, and vague reliability interval.     

Sliding simulation for adhesion problems in micro gear trains based on an atomistic simplified model

The objective of this research work is to provide a systematic method to perform molecular dynamics simulation or evaluation for adhesion of micro/nano gear train during sliding friction in MEMS. In this paper, molecular dynamics simulations of adhesion problems in micro gear train are proposed. The perfect MEMS gear train model is very complicated by considering the computing time. A simplified model to simulate surface sliding between metals by molecular dynamics (MD) is proposed because the surface property is a dominant factor for the performance of gear systems. Based on analysis of sliding friction and the transmitting characteristics of micro gear train, a model is established by utilizing the Morse potential function. The Verlet algorithm is employed to solve atom trajectories. The simulation results show that adhesion tends to occur between two micro gears after certain cycles and such adhesion accounts for the friction force and the temperature increase. The simulation results are in consistence with the experimental results in the literature. The model is meaningful to prolong the lifetime of micro gear train by selecting proper parameters.