Optimization of optical design for developing an LED lens module

In this study, a procedure for optimization of an LED lens module design based on 3 LED light sources was divided into two phases. For preliminary optimization of the dimensions of the LED lens module in Stage I, an optical analysis with orthogonal arrays and TracePro (an optical design package) combined with analysis of variance was conducted to investigate relationships between the multiple optical quality characteristics (viewing angle and average illuminance) and dimension parameters and find the initial optimal parameter combination of the LED lens module. In Stage II, the initial optimal parameter combination determined in Stage I was employed to develop an orthogonal array L₂₅(5⁶) for optical simulation. The experimental data of the orthogonal array were used to train and test the back-propagation neural network to develop an optical quality predictor, which was integrated into the genetic algorithms and the particle swarm optimization in order to find the optimal parameter combination that conformed to optical quality. From the experimental results, the proposed optimization procedure contributes to a precise viewing angle to achieve the goal of optical quality and improved the average illuminance in development of the product. The procedure to optimize the optical design developed in this study can be applied to design all types of LED lens modules and improve the optical design and technology of the LED lens industry.     

Analysis of an in-plane micro-generator with various microcoil shapes

This study presents an analysis of an in-plane micro-generator with various microcoil shapes and multiple aspects of coupling, and reports the fabrication of a prototype micro-generator. It is important to establish analytical solutions for the micro-generator to predict the induced voltage. These analytical solutions can be used to estimate the micro-generator power to reduce the experimental time and the cost. Understanding the physical meanings of the variables can optimize the structure of the micro-electromagnetic generator. This model considers electromagnetism, kinematics, and geometry. The proposed in-plane rotary electromagnetic micro-generator was fabricated using low-temperature co-fired ceramic technology to co-fire the silver microcoils on the ceramic substrate with different shaped coils (e.g., square-shaped, circle-shaped and sector-shaped) both with the printing linewidth and 100 μm spacing of these microcoils. A planar permanent magnet with an outer diameter of 9 mm and a thickness of 700 μm was sintered by Nd/Fe/B. Its residual induction is 1.4 T. The experimental data in this study can be compared with analytical solutions. Analytical results show that the micro-generator with a sector-shaped microcoil generates a maximum effective value of 218.127 mV induced voltage at 1395.34 rad/s. Experimental measurements show a close agreement with these analytical solutions.     

Studying interconnections between two classes of two-stage fuzzy optimization problems

In this paper, we study two types of risk aversion two-stage fuzzy optimization problems. The first type is called two-stage fuzzy minimum risk problem (FMRP), while the second type is referred to as two-stage fuzzy value-at-risk problem (FVRP). In order to facilitate the solution of the two optimization problems, it is required to study the properties of FMRP and FVRP as well as their relationships. For this purpose, we first discuss the semicontinuity about the recourse function of two-stage FMRP. After that, we discuss the interconnections between optimal objective value of FMRP and that of FVRP, and the relationships between optimal solution of FMRP and that of FVRP. Using the obtained results, it would be possible to solve one two-stage optimization problem indirectly by solving its counterpart.     

Uncertain random variables: a mixture of uncertainty and randomness

In many cases, human uncertainty and objective randomness simultaneously appear in a system. In order to describe this phenomena, this paper presents a new concept of uncertain random variable. To measure uncertain random events, this paper also combines probability measure and uncertain measure into a chance measure. Based on the tool of chance measure, the concepts of chance distribution, expected value and variance of uncertain random variable are proposed.     

An integrated e-service model for electronic medical records

In this paper, we discuss the critical issues with the implementation of electronic medical records and argue that the emerging e-services will not fully resolve the issues if they do not work together. To meet the challenge, we propose an integrated e-service model consisting of both process- and data-oriented grids that glue together distributed electronic medical services, records, and application services. We also provide an implementation architecture and prototype that validates the model.     

论装饰装修施工的现场管理与协调

本文以装修施工现场管理与协调现状为基本出发点,结合现阶段装饰装修施工场地的管理现状,分析了施工进度的保障方式以及整体建筑结构安全的确保对策,旨在使建筑装修企业在确保装修工程质量的同时,满足不同的用户的建设要求,进而达到良好的装修效果,在为装修装饰工程提供现场管理与协调建议的同时,为施工现场管理提供技术支持。     

基于微博重复发送的垃圾用户甄别

针对微博平台上的垃圾用户甄别问题,本文提出了基于微博重复发送行为的垃圾用户行为建模和甄别算法。在真实微博垃圾用户数据分析的基础上,本建模方法综合考虑了微博垃圾用户的行为信息、社交网络信息和文本信息,从不同的角度对垃圾用户进行了分析和建模。在真实数据集上的实验证明了方法的有效性,并且对模型中若干参数进行了优化,同时也分析了垃圾用户行为信息、社交网络信息和文本信息对模型的影响程度。     

500kV输电线路带电跨越紧线施工工艺

介绍了带电跨越紧线施工工艺在工程中的应用及效果,总结了对接紧线工艺的优点。     

基于最优乘子潮流估计的故障筛选与排序

提出了一种用于电压稳定安全评估的快速故障筛选和排序方法。该方法从故障前的临界点出发,通过最优乘子潮流法计算得到的故障后边界点来估计故障后临界点,当初始点接近临界点,通过一次迭代即可满足所需的计算精度,从而快速地识别出非严重故障。对于严重故障和某些特殊情况的故障进行了分析并提出了解决办法,保证了对严重故障的估计精度。通过某一实际703节点系统算例验证了该方法的有效性。     

双断点断路器开断过程燃弧能量的不平衡问题

通过对开断电弧运动过程观察,发现在双断点塑壳断路器开断过程中,两个断口之间存在电弧能量的不平衡,不利于断路器综合性能的提高。进一步的分析实验认为,电弧背后击穿是引起电弧能量不平衡的主要原因,通过适当的设计抑制背后击穿,可以使断口间能量有效趋于平衡。