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2011 International Conference on Mechatronic Science, Electric Engineering and Computer (MEC)最新文献

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The composite function block with structure self thermal insulation 具有结构自保温的复合功能块
Xianli Wang, Lin Wang
The technical structure of a composite function block with self thermal insulation is introduced. Block — thermal insulation layer-protective layer trinity is achieved through setting tie bars within the block. The block not only collects multiple functions to one body, such as load-carrying/maintenance, thermal insulation, drainage and exhaust, anti-shedding and anti-crack for surface layer etc. But also it collects both safety and durability to one body. The kind of block has many characteristics such as maintenance-free, strong compound function and so on. The block can greatly avoid quality defects of the wall block building non-structural cracks though structure measures, and has been confirmed by the pilot building.
介绍了一种自保温复合功能块的技术结构。砌块-保温层-保护层三位一体,通过砌块内部设置拉杆实现。该砌块不仅集承重/维护、保温、排水排气、表层防脱落、防裂等多种功能于一体。而且它集安全性和耐用性于一身。这种挡块具有免维护、复合功能强等诸多特点。该砌块通过结构措施,极大地避免了墙体砌块建筑非结构性裂缝的质量缺陷,并得到了试点建筑的验证。
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引用次数: 1
A flexible exception handling framework for Semantic Programming Language 语义编程语言中灵活的异常处理框架
Zhao Kai, Zhang Linlin, Ying Shi
Semantic Web services (SWS) and business process management (BPM) technologies are gradually applied in many domains like electronic commerce and enterprise application integration, which has unavoidably led to the requirements and concerns for effectively recovering from kinds of failures, especially in complex, untamed and dynamic Web environments. Generally, Exception handling is considered to be one of the most important mechanisms for dealing with exception conditions. However, current business process programming languages for semantic Web services provide almost no support for exception handling, and support platforms are weak in providing reliability and adaptability. In this paper, we present a novel framework for flexible exception handling and fault recovery of semantic business processes based on Semantic Programming Language (SPL). Especially, the framework provides forward recovery support with dynamically discovering and substituting failed services when an exception arises during execution by semantically equivalent or semantically similar Web services.
语义Web服务(SWS)和业务流程管理(BPM)技术逐渐应用于许多领域,如电子商务和企业应用程序集成,这不可避免地导致了从各种故障中有效恢复的需求和关注,特别是在复杂、不驯服和动态的Web环境中。通常,异常处理被认为是处理异常条件的最重要的机制之一。然而,目前用于语义Web服务的业务流程编程语言几乎不支持异常处理,支持平台在提供可靠性和适应性方面也很薄弱。本文提出了一种基于语义编程语言(semantic Programming Language, SPL)的语义业务流程灵活异常处理和故障恢复框架。特别是,该框架提供了前向恢复支持,当执行过程中出现异常时,可以动态地发现和替换语义等价或语义相似的Web服务。
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引用次数: 1
A CMOS dB-linear variable amplifier using curvematching 一种采用曲线匹配的CMOS db线性可变放大器
Qi Yu, Wen Luo, N. Ning, Zhenya Sun, C. Wang, Yong Hu, Tianzhu Li
A CMOS dB-linear Variable Gain Amplifier (VGA) using Curvematching is presented. The CMOS dB-linear VGA provides a variable gain of 59dB while maintaining −3dB bandwidth greater than 86MHz. Curvematching is proposed to obtain the dB-linear gain control characteristics based on a low-distortion source-degenerated differential amplifier structure. Nonideal effects on dB linearity are analyzed and the methods for improvement are suggested. The VGA is designed in a 0.13μm CMOS technology and the post-simulation results demonstrate the good dB linearity, good property of total harmonic distortion and noise figure.
提出了一种基于曲率匹配的CMOS db线性可变增益放大器(VGA)。CMOS db -线性VGA提供59dB的可变增益,同时保持大于86MHz的- 3dB带宽。提出了一种基于低失真源退化差分放大器结构的曲率匹配方法来获得db线性增益控制特性。分析了对dB线性度的非理想影响,并提出了改进方法。该VGA采用0.13μm CMOS工艺设计,后置仿真结果表明,该VGA具有良好的dB线性度、良好的总谐波失真性能和噪声系数。
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引用次数: 3
A new neural network approach for fault location of distribution network 一种新的配电网故障定位神经网络方法
F. Yan, Wenxuan Liu, Lin Tian
On the basis of analysis on the characteristics of single phase grounding fault occurred in small current neutral grounding system, a fault location method using Learn Vector Quantization Neural Network is put forward. Combined LVQ Neural Network with C-type of traveling wave location method, the purpose of precise location can be achieved. A classical BP (Back-Propagation) Neural Network has been developed to solve the same problem for comparison. The simulation results of ATP-EMTP and MATLAB show that the LVQ Neural Network is quite effective and superior to BP Neural Network in fault location.
在分析小电流中性点接地系统单相接地故障特点的基础上,提出了一种基于学习向量量化神经网络的故障定位方法。将LVQ神经网络与c型行波定位方法相结合,可以达到精确定位的目的。一个经典的BP(反向传播)神经网络已被开发来解决同样的问题,以供比较。ATP-EMTP和MATLAB仿真结果表明,LVQ神经网络在故障定位方面具有较好的效果,且优于BP神经网络。
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引用次数: 7
A MST-based and new GA supported distribution network planning 基于mst和新遗传算法的配电网规划
You Li, Xian-rong Chang
After Optimal distribution substation locating, distribution feeder line planning remains the main problem in distribution system planning. Therefore, a MST-based and new GA algorithm for distribution network optimal planning is presented. To reduce computational time and avoid infeasible solution, two new operators are introduced to ensure that all individuals are feasible solution. Meanwhile, an electricity distribution network structure and feeder cross-sectional area selection simultaneous optimization model is adopted to deal with the weight of the minimal-cost system tree. This Combinatorial coding guaranties the validity of solution towards globe optimum. Finally, The method is examined in one real MV distribution network example.
配电变电站优化选址后,配电馈线规划仍是配电系统规划中的主要问题。为此,提出了一种基于mst的配电网优化规划新算法。为了减少计算时间和避免不可行解,引入了两个新的算子来保证所有个体都是可行解。同时,采用配电网结构与馈线截面积选择同步优化模型处理最小成本系统树的权重问题。这种组合编码保证了解向全局最优解的有效性。最后,通过一个中压配电网实例对该方法进行了验证。
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引用次数: 8
Comparison methods for high accuracy nano wood fiber strain measurement with the errors analysis 高精度纳米木纤维应变测量方法的比较及误差分析
Ming-Bao Li, Jun Cao, Jiawei Zhang, N. Zhang
For measuring nano wood fiber strain, a whole range of perturbing factors on the primary converters and circuit elements degrade the metrological characteristics. An approach to the design of measuring circuit, based to the principle of double-channel parametric measurement, is proposed to improving the accuracy of the measured result. Three measuring circuits based on the principle are designed, and errors of conversion functions of them are analyzed, which shows the approach is effective to solve the problem of the measuring strain, and it is worthwhile for other measuring circuits.
在测量纳米木纤维应变时,一次变换器和电路元件上的一系列干扰因素会降低测量特性。为了提高测量结果的精度,提出了一种基于双通道参数测量原理的测量电路设计方法。基于该原理设计了三种测量电路,并对其转换函数的误差进行了分析,表明该方法有效地解决了应变测量问题,对其他测量电路具有一定的参考价值。
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引用次数: 0
Research on traction slip control algorithm for parallel hybrid cars 并联混合动力汽车牵引滑移控制算法研究
Liang Chu, Libo Chao, Z. Wu, Tong Wu
Traction slip control algorithm and strategy for parallel hybrid vehicle are proposed in this paper. Based on the torque distribution strategy of parallel cars, the torque control strategy and algorithm and brake control strategy of TCS are designed. Under the environment of Matlab/Simulink, the vehicle model and TCS controller model of parallel Hybrid Electric vehicle are built. The simulation test is performed on the low μ road. The simulation results show that the control algorithm can prevent the driven wheels from spinning effectively.
提出了并联混合动力汽车的牵引滑移控制算法和策略。基于并联汽车转矩分配策略,设计了TCS的转矩控制策略、算法和制动控制策略。在Matlab/Simulink环境下,建立了并联混合动力汽车整车模型和TCS控制器模型。在低μ路面上进行了模拟试验。仿真结果表明,该控制算法能有效地防止从动轮自旋。
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引用次数: 2
A class of nonmonotone spectral conjugate gradient methods with the generalized quasi-Newton equation 一类具有广义拟牛顿方程的非单调谱共轭梯度方法
M. Ma, Yongpo Zhang, Zilong Yang, Y. Shang
In order to solve the large-scale unconstraint optimization in engineering and management. In this paper, we combine spectral conjugate gradient methods with the generalized quasi-Newton condition, and construct a class of nonmonotone spectral conjugate gradient methods. According to different parameters alternative, a comparison to different parameters are given. Numerical experiments show that this class of nonmonotone spectral conjugate gradient methods are competitive.
为了解决工程和管理中的大规模无约束优化问题。本文将谱共轭梯度方法与广义拟牛顿条件相结合,构造了一类非单调谱共轭梯度方法。根据不同的参数选择,对不同的参数进行了比较。数值实验表明,这类非单调谱共轭梯度方法是有竞争力的。
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引用次数: 0
The design and implementation of a real-time webpage Tamper-Proof technology 设计并实现了一种实时网页防篡改技术
Yue-guo Luo, Hai-jun Tan
Firstly, the current Webpage Tamper-Proof technology problems are analyzed, then events-trigger and files-filter driver with hash function is designed for a Webpage Tamper-Proof system model, whose architecture is deployed and whose security is designed. This Webpage Tamper-Proof system is used in campus network. The experimental results show that the solution can realize the function of restoring the webpage intelligently in real time, thus the solution can prevent the page from being modified maliciously, which is of high application value.
首先分析了当前网页防篡改技术存在的问题,然后针对网页防篡改系统模型设计了带有哈希函数的事件触发和文件过滤驱动程序,并对该模型进行了架构部署和安全性设计。本网页防篡改系统用于校园网。实验结果表明,该方案能够实现实时智能还原网页的功能,从而防止网页被恶意修改,具有较高的应用价值。
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引用次数: 1
Application of chaotic neural network in power system load forecasting
Yu-hong Zhao, Jinxing Xiao
Power system load forecasting is one of the important work of electricity production departments, the load demand is affected by many factors (such as weather, economic, and social activities, etc.) effects, and their relationship is complex, unclear, so it is difficulty to predict the load accurately. In order to improve short term load forecasting accuracy, according to this non-linear reconstruction technique based on chaos theory we constructed an improved BP algorithm based on chaotic neural network short term load forecasting model in this paper. The above model and the algorithm was applied to the short-term power load forecasting of an south area, made a good prediction.
电力系统负荷预测是电力生产部门的重要工作之一,负荷需求受诸多因素(如天气、经济、社会活动等)的影响,且它们之间的关系复杂、不明确,因此对负荷进行准确预测是困难的。为了提高短期负荷预测的精度,本文根据这种基于混沌理论的非线性重构技术,构建了一种基于改进BP算法的混沌神经网络短期负荷预测模型。将上述模型和算法应用于南方某地区短期电力负荷预测,取得了较好的预测效果。
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引用次数: 2
期刊
2011 International Conference on Mechatronic Science, Electric Engineering and Computer (MEC)
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