摘要：机机翼前缘结冰会改变机翼的气动轮廓并影响整体的空气动力学性能.研究简化角冰冰形对翼型绕流流场结构的影响可以为飞机防冰设计提供有价值的参考.采用粒子图像测速技术,在低速直流风洞中对覆盖不同角冰冰形的翼型在不同攻角时的流场结构进行了详细的实验测量.实验对象包括三种简化的冰形和原始冰形.结果表明,在本研究范围内,覆盖简化冰形的翼型和覆盖原始冰形的翼型在流场参数上的最大差异为35.11%.与原始冰形相比,覆盖简化的角冰冰形的翼型流场中的分离泡距离翼型前缘和后缘更远.在三种冰形简化方法中,将冰角简化成矩形并在冰角之间添加抛物线的连接方式具有比较好的简化效果.在选定的两个区域中,这种简化冰形和原始冰形在翼型绕流流场的参数平均值的差异在14.88%之内.

摘要：Numerous smart card based authentication protocols have been proposed to provide strong system security and robust individual privacy for communication between parties these days. Nevertheless, most of them do not provide formal analysis proof, and the security robustness is doubtful. Chang and Cheng(2011) proposed an efficient remote authentication protocol with smart cards and claimed that their proposed protocol could support secure communication in a multi-server environment. Unfortunately, there are opportunities for security enhancement in current schemes. In this paper, we identify the major weakness, i.e., session key disclosure, of a recently published protocol. We consequently propose a novel authentication scheme for a multi-server environment and give formal analysis proofs for security guarantees.

摘要：We construct the membership functions of the fuzzy objective values of a controllable queueing model,in which cost elements,arrival rate and service rate are all fuzzy numbers. Based on Zadeh's extension principle,a set of parametric nonlinear programs is developed to find the upper and lower bounds of the minimal average total cost per unit time at the possibility level. The membership functions of the minimal average total cost are further constructed using different values of the possibility level. A numerical example is solved successfully to illustrate the validity of the proposed approach. Because the object value is expressed and governed by the membership functions,the optimization problem in a fuzzy environment for the controllable queueing models is represented more accurately and analytical results are more useful for system designers and practitioners.

摘要：在这篇论文我们在场为经由优化 model.A 由溶剂的适当选择调节药品的混合物的水晶形态学的策略包含一个预先设计阶段，一个产品设计阶段和一个设计以后的试验性的确认阶段的三阶段的途径被介绍。预先设计阶段为晶体形态学探讨性质限制的明确的表达。这为形态学包含结晶化实验和性质模型和限制的开发。在设计阶段，为与晶体形态学一起的溶剂的各种各样的性质要求被考虑，产品设计问题作为一个混合整数被提出非线性的编程模型。设计阶段提供候选人溶剂的最佳的溶剂 / 表。类似于预先设计阶段，在柱子设计试验性的确认舞台，晶体的形态学(从设计溶剂猛抛) 通过实验经由扫描电子显微检查法，粉末 X 射线衍射成像和 Fourier 变换由产品描述跟随了的结晶化被验证系列分析。

摘要：《中国制造2025》计划要求从顾客到产品等全部环节的全面自动化。这将为生产制造系统的各个环节带来巨大挑战。在未来的加工制造领域中,全部的设备和系统应当具有对控制性和适应性的感知能力和基础智能化处理的能力。在研究中,经过关于多尺度动力学在现代加工制造系统中应用的讨论后,一个五层的功能结构被用于不确定的加工制造过程。多尺度力学包括:多时间尺度、多时空尺度以及多尺度的动力学标准。随着快速与慢速的时间尺度对设计的更多要求,不同的尺度所对应的不同控制行为也将呈现区分化。低速时间尺度下的操作需要更多的定量化手段,与此同时,高速时间尺度下的监管也需要更多高质量的手段。智能生产系统应当拥有灵活应变的能力、较好的适应能力及足够的智能化程度。这些能力需要我们通过控制性手段进行区分化处理并应用在不同方面,如智能感知、优化设计、智能学习等。最后,将一个典型的喷射点胶系统模型用于多尺度建模和控制。

摘要：Many websites use verification codes to prevent users from using the machine automatically to register,login,malicious vote or irrigate but it brought great burden to the enterprises involved in internet marketing as entering the verification code *** the verification code security system needs the identification method as the corresponding testing *** propose an anisotropic heat kernel equation group which can generate a heat source scale space during the kernel evolution based on infinite heat source axiom,design a multi-step anisotropic verification code identification algorithm which includes core procedure of building anisotropic heat kernel,settingwave energy information parameters,combing outverification codccharacters and corresponding peripheral procedure of gray scaling,binarizing,denoising,normalizing,segmenting and identifying,give out the detail criterion and parameter *** test show the anisotropic heat kernel identification algorithm can be used on many kinds of verification code including text characters,mathematical,Chinese,voice,3D,programming,video,advertising,it has a higher rate of 25%and 50%than neural network and context matching algorithm separately for Yahoo site,49%and 60%for Captcha site,20%and 52%for Baidu site,60%and 65%for 3DTakers site,40%,and 51%.for MDP site.

摘要：Since the fall of 2004, textile and apparel students at a United States public university have been designing apparel with nonwoven fabrics. Over the last two years, the students' designs have sparked interest in the industry which has begun to create new and innovative fabric designs. The industry, however, still struggles over the best name for the fabric. This sparked the research question, "What impact does the term 'nonwoven' or 'engineered fabric' have on a 15- to 25-year-old's intent to purchase a garment?"Through a convenience sampling method, an online questionnaire was distributed to 15- to 25-year-old United States females. The questionnaire included questions regarding demographics and psychographics, and asked respondents to choose garments they would intend to purchase based on known attributes such as style, brand, price, place, and fabrication and fiber content. There were a total of 14 garments, seven tops and seven bottoms. Four of these garments, two tops and two bottoms were constructed of nonwoven *** respondents accepted the nonwoven fabrics when shown in garments in an online setting. This demonstrates that visually, these fabrics are comparable to traditional woven and knit fabrics. The "nonwoven" polyester and nylon blend fabric increased in popularity when the respondents were told the fabrication and fiber content. However, the "engineered" polyester and polyethylene blend fabric dropped to last place when fabrication and fiber content were known. This indicates that 15- to 25-year-old respondents do not understand or are not interested in fibers or fabrications described as "engineered fabric" with a polyester/polyethylene blend. More research will have to be done to determine if the fabrication term "engineered fabric" or if the polyester/polyethylene blend fiber content caused a lack of interest or decreased intent to *** has currently begun to determine the right combination of fiber content and fiber size to deve

摘要：As the mission needs of the autonomous underwater vehicles(AUV) have become increasingly varied and complex,the AUVs are developing in the direction of systematism, multifunction, and clustering technology, which promotes the progress of key technologies and proposes a series of technical problems. Therefore, it is necessary to make systemic analysis and in-depth study for the progress of AUV's key technologies and innovative applications. The multi-functional mission needs and its key technologies involved in complex sea conditions are pointed out through analyzing the domestic and foreign technical programs, functional characteristics and future development plans. Furthermore, the overall design of a multi-moving state AUV is proposed. Then, technical innovations of the key technologies, such as thrust vector, propeller design, kinematics and dynamics, navigation control, and ambient flow field characteristics, are made, combining with the structural characteristics and motion characteristics of the new multi-moving state AUV. The results verify the good performance of the multi-moving state AUV and provide a theoretical guidance and technical support for the design of new AUV in real complex sea conditions.

摘要：这份报纸联合队和数据包封分析(DEA ) 的理论设计机制最佳地在公共保健分配资源。在它的统治下面的一个法令的权威和公共医院作为一个队，其成员寻求在公共保健是公众的分享的机构的限制下面高效地操作被解释好。单个公共医院利用 DEA 最大化自己发薪，到对方公众医院的发薪不从外部效果掉落并且从而减去的队条件的题目由保健的公共供应创造了。产生 team-DEA 答案，它被显示是两个一个别地有效并且 team-satisficing 平衡并且以一个会聚的算法可计算出来，然后能被权威使用在公共保健决定资源的最佳的分配。一个盒子基于中国数据被介绍说明 team-DEA 模型准备好了的 operationalization 和计算。

摘要：Multidisciplinary design optimization(MDO) is widely employed to enhance turbomachinery components efficiency. The aim of this work is to describe a complete tool for the aero-mechanical design of a radial inflow turbine and a centrifugal compressor. The high rotational speed of such machines and the high exhaust gas temperature(only for the turbine) expose blades to really high stresses and therefore the aerodynamics design has to be coupled with the mechanical one through an integrated procedure. The described approach employs a fully 3D Reynolds Averaged Navier-Stokes(RANS) solver for the aerodynamics and an open source Finite Element Analysis(FEA) solver for the mechanical integrity assessment. Due to the high computational cost of both these two solvers, a meta model, such as an artificial neural network(ANN), is used to speed up the optimization design process. The interaction between two codes, the mesh generation and the post processing of the results are achieved via in-house developed scripting modules. The obtained results are widely presented and discussed.