乳状液膜法制备草酸稀土

系统研究了在乳状液膜内水相直接制备草酸稀土的方法，讨论了内水相草酸浓度、表面活性剂浓度、载体浓度、外水相酸度和外水相稀土浓度对迁移率的影响，找到了制备草酸稀土的最佳条件，草酸稀土经灼烧所得的氧化物含ＲＥ２Ｏ３〉９９．５％，与萃取法相比，此方法具有成本低、能耗少、污染程度低的特点，具有工业化前景。     

超导／半导兼容材料的制作及性能分析

介绍了几种结构合理的超导／半导兼容材料的制作技术及其测试结果，重点讨论了超导体（ＹＢＣＯ）与半导体（Ｓｉ，ＣａＡｓ）间缓冲层的选取，并对这几种复合材料的性能作了较详细的分析。     

Pre-bainitic Transformation in Fe-Ni Alloy

Ｔｈｅｐｒｅ－ｂａｉｎｉｔｉｃｐｈｅｎｏｍｅｎｏｎｉｓｏｎｅｏｆｔｈｅｉｍ－ｐｏｒｔａｎｔｓｕｂｊｅｃｔｓｏｆｂａｉｎｉｔｉｃｔｒａｎｓｆｏｒｍａｔｉｏｎｗｈｉｃｈｉｓｓｔｉｌｃｏｎｔｒｏｖｅｒｓｉａｌ．Ｏｎｅｖｉｅｗｉｓｔｈａｔｔｈｅｓｏｌｕｔｅａ...     

带平衡约束矩形布局优化问题的深度强化学习算法

带平衡约束的矩形布局问题源于卫星舱设备布局设计,属于组合优化问题。深度强化学习利用奖赏机制,通过数据训练实现高性能决策优化。针对布局优化问题,提出一种基于深度强化学习的新算法DAR及其扩展算法IDAR。DAR用指针网络输出定位顺序,再利用定位机制给出布局结果,算法的时间复杂度是O（n³）;IDAR算法在DAR的基础上引入迭代机制,算法时间复杂度是O（n⁴）,但能给出更好的结果。测试表明DAR算法具有较好的学习能力,用小型布局问题进行求解训练所获得的模型,能有效应用在大型问题上。在两个大规模典型算例的对照实验中,提出算法分别超出和接近目前最优解,具有时间和质量上的优势。     

Fracture mechanics of a shaft-loaded blister of thin flexible membrane on rigid substrate

A shaft-loaded blister test has been developed to measure the interfacial energy W of a thin flexible polymeric film adhered to a rigid substrate. A theoretical analysis is given of an axisymmetric debond (blister) in terms of an external applied load P, tensile stretching modulus E and thickness h of the adhering layer. The fracture mechanics model presented considers both elastic and elastoplastic deformations in the thin film. The intrinsic stable interface debonding process provides an attractive alternative to the conventional adhesion measurement techniques.     

基于TimeMark技术的网络级数据容灾设计与实施

建立存储虚拟化的网络级容灾系统,要注意数据的不一致或不完整的问题,因为由此可能导致系统无法启动或恢复。利用TimeMark技术建立容灾系统,存储设备可以为数据副本生成多个快照,记录数据副本在不同时刻的状态,可以有效地避免渐变式灾难带来的数据损坏,从而保障数据一致性和可用性。     

A new look at software piracy: Soft lifting primes an inauthentic sense of self,prompting further unethical behavior

Soft lifting refers to the process whereby a legally licensed software program is installed or copied in violation of its licensing agreement. Previous research on this pervasive kind of unethical computer use has mainly focused on the determinants of this unethical act, which are rooted in personal, economic, technological, cultural, socio-political, or legal domains. However, little is known about the symbolic power that soft lifting has on the sense of self. Based on recent advances in behavioral priming, we hypothesized that soft lifting can influence the signals one sends to oneself; more specifically, soft lifting may prime individuals to experience an inauthentic sense of self, which, in turn, prompts further unethical behavior. In Study 1, we showed that participants, primed with the memory of a recent soft lifting experience, cheated more than participants recalling a recent experience of purchasing authentic software or than control participants. Moreover, feelings of inauthenticity mediated the priming effect of soft lifting on dishonest behavior. In Study 2, participants primed with soft lifting showed a greater willingness to purchase a wide range of counterfeit products over authentic products. Besides those antecedents or correlates of soft lifting already identified in the literature, educators should pay more attention to the negative impact of soft lifting on the self-images of users, which may go beyond computer-related behaviors. Priming may provide a new direction for HCI researchers to examine the impact of computer-use-related factors on users' perceptions, motivations, and behaviors.     

Dynamics and genetic fuzzy neural network vibration control design of a smart flexible four-bar linkage mechanism

In this paper, a dynamic modeling method and an active vibration control scheme for a smart flexible four-bar linkage mechanism featuring piezoelectric actuators and strain gauge sensors are presented. The dynamics of this smart mechanism is described by the Discrete Time Transfer Matrix Method of Multibody System (MS-DTTMM). Then a nonlinear fuzzy neural network control is employed to suppress the vibration of this smart mechanism. For improving the dynamic performance of the fuzzy neural network, a genetic algorithm based on the MS-DTTMM is designed offline to tune the initial parameters of the fuzzy neural network. The MS-DTTMM avoids the global dynamics equations of the system, which results in the matrices involved are always very small, so the computational efficiency of the dynamic analysis and control system optimization can be greatly improved. Formulations of the method as well as a numerical simulation are given to demonstrate the proposed dynamic method and control scheme.     

Data-driven facial expression synthesis via Laplacian deformation

Realistic talking heads have important use in interactive multimedia applications. This paper presents a novel framework to synthesize realistic facial animations driven by motion capture data using Laplacian deformation. We first capture the facial expression from a performer, then decompose the motion data into two components: the rigid movement of the head and the change of the facial expression. By making use of the local-detail preserving property of the Laplacian coordinate, we clone the captured facial expression onto a neutral 3D facial model using Laplacian deformation. We choose some expression “independent points” in the facial model as the fixed points when solving the Laplacian deformation equations. Experimental results show that our approach can synthesize realistic facial expressions in real time while preserving the facial details. We compare our method with the state-of-the-art facial expression synthesis methods to verify the advantages of our method. Our approach can be applied in real-time multimedia systems.     

封闭循环TEA CO2激光器用催化剂的实验研究

在不同的催化剂和不同温度的条件下,用磁氧分析仪监测了封离型TEA C0₂激光器中O₂含量随时间或脉冲次数的变化。对实验现象进行了分析。对几种催化剂的特性给出了详细的比较。