人工全髋关节置换术研究现状与展望

人工全髋关节置换术(Total hip arthroplasty THA)是治疗终末期髋关节疾病的快速恢复髋关节功能的有效方法之一,现就人工全髋关节置换术中假体的材料应用与界面配伍、微创手术入路选择、数字骨科发展对THA的意义、手机APP在康复指导和追踪随访中的应用等几方面进行综述.     

Improved estimation of duality gap in binary quadratic programming using a weighted distance measure

We present in this paper an improved estimation of duality gap between binary quadratic program and its Lagrangian dual. More specifically, we obtain this improved estimation using a weighted distance measure between the binary set and certain affine subspace. We show that the optimal weights can be computed by solving a semidefinite programming problem. We further establish a necessary and sufficient condition under which the weighted distance measure gives a strictly tighter estimation of the duality gap than the existing estimations.     

Resource allocation model and double-sphere crowding distance for evolutionary multi-objective optimization

Convergence speed and diversity of nondominated solutions are two important performance indicators for Multi-Objective Evolutionary Algorithms (MOEAs). In this paper, we propose a Resource Allocation (RA) model based on Game Theory to accelerate the convergence speed of MOEAs, and a novel Double-Sphere Crowding Distance (DSCD) measure to improve the diversity of nondominated solutions. The mechanism of RA model is that the individuals in each group cooperate with each other to get maximum benefits for their group, and then individuals in the same group compete for private interests. The DSCD measure uses hyper-spheres consisting of nearest neighbors to estimate the crowding degree. Experimental results on convergence speed and diversity of nondominated solutions for benchmark problems and a real-world problem show the efficiency of these two proposed techniques.     

基于RFID技术的安全跟车系统

为了提高行车安全性,基于RFID技术提出了一种安全跟车系统(SCFS).在此系统中,RFID标签部署在道路表面,为安装有RFID读卡器的车辆提供道路信息.系统根据标签中存储信息的时间特性,利用时间序列预测法,预测前车的行驶状态并估测两车之间的道路距离;结合当前行驶状态对车速进行适当调整,以保证行车安全.本文给出了3个系统性能评价指标,并进行仿真实验.结果表明,SCFS系统能够在不同跟车行驶状态下保证行车安全,避免追尾碰撞的发生.     

现代远程教育条件下的核心课程体系构建与整合研究

以培养学生的职业技能为核心,提出了构建远程教育核心课程体系的指导原则、基本思路和流程,以远程教育网络技术专业(网页设计方向)为例对远程核心课程体系进行构建与整合.     

情感对言语交际中心理距离的影响

言语交际中,交际双方的心理距离是影响交际顺利实现的重要因素.而接受者不同的情感体验又直接影响着交际双方心理距离的改变.在表达目的一定的情况下,为了让接受者乐于接受,表达者往往选用能满足接受者受尊重需要或审美需要的语言形式来表达,以激发接受者积极的情感,缩短双方的心理距离,顺利实现交际目的.有时表达者也会根据表达内容的需要,选用疏远双方情感的语言形式来拉大双方的心理距离,以更好地实现交际目的.     

The multi-attribute grey target decision method for attribute value within three-parameter interval grey number

Based on the grey system theory and methods, the grey-target decision-making problem is discussed, in which the attribute values are grey numbers and the maximum probability of the value of grey number is known. Firstly, the optimal effect vector is the positive bull’s-eye and positive bull’s-eye distance of each scheme is defined. Subjectively or objectively weighting method is integrated to determine the index weight and integrated optimization model of index weight is established. Finally, the critical effect vector is the negative bull’s-eye and negative bull’s-eye distance of each scheme is defined, then relative bull’s-eye distance and comprehensive the bull’s-eye distance of grey target decision-making are given. An example is also presented to illustrate the usefulness and effectiveness of the methods obtained in this paper and provides a new idea for grey target decision-making method research.     

A high‐precision instrument for mapping of rotational errors in rotary stages

A rotational stage is a key component of every X‐ray instrument capable of providing tomographic or diffraction measurements. To perform accurate three‐dimensional reconstructions, runout errors due to imperfect rotation (e.g. circle of confusion) must be quantified and corrected. A dedicated instrument capable of full characterization and circle of confusion mapping in rotary stages down to the sub‐10 nm level has been developed. A high‐stability design, with an array of five capacitive sensors, allows simultaneous measurements of wobble, radial and axial displacements. The developed instrument has been used for characterization of two mechanical stages which are part of an X‐ray microscope.     

An object-parameter approach to predicting unknown data in incomplete fuzzy soft sets

Incomplete data in soft sets lead to uncertainty and inaccuracy in representing and handling information. This paper introduces notions of complete distance between two objects and relative dominance degree between two parameters. Based on both the notions, an object-parameter method is proposed to predict unknown data in incomplete fuzzy soft sets. The proposal makes full use of known data, including the information from the relationship between known values of all objects on a certain parameter and the information from the relationship between known values of an object on all parameters. The effectiveness of the proposal is verified by many examples under the compared investigation of classical predicted methods.