行人-汽车碰撞试验腿部模块的可变形膝关节参数设计

根据行人-汽车碰撞中对行人腿部碰撞保护相关技术法规的要求,针对行人下肢的损伤机理,分析了腿部可变形膝关节部件的设计方法。通过力学模型的建立和分析,提出了确定膝关节部件结构类型、尺寸和材料的力学计算方法以及部件标定试验验证方案。经算例和部件的标定试验验证,该设计方法满足EEVCWG10的弯曲部分技术要求,可变形膝关节设计原理和分析方法可以为其他行人腿部模块技术规范中的部件设计提供参考。     

粗集料形状特征对沥青混合料抗剪性能的影响

矿质集料的形状特征对沥青混合料的性能具有极为明显的影响,但目前关于这方面的研究极少。采用编制的图像处理程序,获取了五组颗粒形状特征不同的粗集料其形状参数,运用单轴贯入试验分析了粗集料形状参数对混合料抗剪强度的影响。结果表明,粗集料各种形状特征参数对混合料抗剪强度都有不同程度的影响,且扁平系数对抗剪强度的影响最大,必须控制粗集料中扁平颗粒的含量。     

公路高路堤互锚式薄壁支挡新结构试验与仿真研究

以大型模拟试验、结构仿真、试验路段试验为依托，介绍公路高路堤支挡新结构试验研究的技术路线、主要内容和研究成果。     

电喷汽油机可变进气系统的优化设计

利用发动机一维气体流动模拟程序，对某电喷汽油机进气系统的流动过程进行了模拟计算。对该汽油机采用的可变进气系统的歧管直径和长度、控制阀开关的切换转速等结构参数进行了优化设计。计算结果表明，与原机相比，经优化设计后系统的充气效率最大增加幅值大于11％，且改变了充气效率随转速的变化趋势。分析了配气正时对可变进气系统充气效率的影响。     

Seabed scene simulation and its realization in extending Vega

Realistic simulation of underwater scene is always difficult because of the special and complex vision effects in underwater space. Seabed is an important part of underwater environment. This paper describes the methods for seabed scene simulation based on OpenGL. It includes construction of fluetuant terrain based on the random sinusoidal algorithm, simulation of seabed flicker effect by means of circular texture mapping and generation of turbidity effect by using fog techniques. For the application based on the leading high level 3D development environment-Vega, underwater scene simulation is still a difficulty since there is no module for it. Based on the analysis of Vega software and the research on seabed scene simulation methods, a Vega extending module named “Underwater Space” was created through developing module class and extending lynx interface. The module class was designed through developing DLL written in C . The Lynx was extended through developing keyword configure file, GUI configure file and lynx plug-in DLL. The problem that Vega can‘t simulate underwater space, is elementarily resolved. The results show that this module is efficient, easy using, and the seabed scene images am vivid.     

Identity-based threshold decryption on access structure

For the applied limitation of the existing threshold decryption schemes based on the (t, n) structure, an identity-based threshold decryption scheme which can be applied on the access structure is proposed through designing a special distribution algorithm of the private key shares. The generation and distribution of private key shares, the encryption, the decryption and the combination are introduced in detail. The validity and security of the scheme are proved and analyzed. Comparisons with the existing schemes show that the proposed scheme is more flexible.     

Tool sequence optimization based on three logical modes of robot control via CPLEX optimization

Cluster tools have advantages of shorter cycle times, faster process development, and better yield for less contamination. The sequence of dual-arm cluster tools is a complex logistics process during the semiconductor production. Efficient use of cluster tools is naturally very significant to competitive fab operations. Generating an optimized sequence in a computationally efficient manner and assessing the quality of the requirements to improve the fab production are the key factors for semiconductor manufacturing productivity. The Petri net modeling is introduced to minimize the makespan of the process for the three different logical modes and select a better mode after comparing the makespan among the three logical modes. The tool sequence optimization problem is formulated as optimization firing transition sequences based on the Petri net and then the formulation is converted to be linearly solved by the branch-and-cut method in the standard commercial solver CPLEX. Special methods for the linear conversion are highlighted. Due to the limited calculation time requirement for the real production and the large scale of the problem, special methods for the efficiency tuning are applied according to the characteristics of the problem. Numerical testing is supported by one of the most advanced semiconductor enterprises and the computational results show significant improvement compared with the traditional manual sequence results.     

Poisson noise removal based on nonlocal total variation with Euler’s elastica pre-processing

An enhancement-based Poisson denoising method for photon-limited images is presented. The noisy image is firstly pre-processed for enhancing incomplete object information, and then it is denoised while preserving the restored structural details. A variational regularization model based on Euler’s elastica (EE) is proposed for image enhancement pre-processing. A nonlocal total variation (NLTV) regularization model is then employed in the second stage of image denoising. The above two optimization problems are solved by the alternating direction method of multipliers (ADMM). For Poissonian images with low image peak values, experiments demonstrate the validity and efficiency of the proposed method for both restoring geometric structure and removing noise.     

Semiparametric specification of the utility function in a travel mode choice model

We propose a semiparametric approach that can capture the nonlinearity of deterministic components of the utility functions in discrete choice models and demonstrate it by analyzing travel mode choice behaviour for an interregional trip. The proposed smoothing spline-based specification method can be used to make ex ante evaluations regarding the parametric specifications of the deterministic utility functions in discrete choice models.