基于蕴涵算子族Lλ0λG的反向三I支持算法

提出了基于蕴涵算子族Lλ0λG的模糊推理的思想,这将有助于提高推理结果的可靠性。针对蕴涵算子族Lλ0λG给出了模糊推理的FMP模型及FMT模型的反向三I支持算法。     

基于蕴涵算子族L-λ-R_0的模糊推理FMT三Ⅰ算法

提出了基于蕴涵算子族L-λ-R0的模糊推理的思想,这将有助于提高推理结果的可靠性。针对蕴涵算子族L-λ-R0已给出的FMP模型[1]的三Ⅰ支持算法、α-三Ⅰ支持算法进一步给出了模糊推理的FMT模型的三Ⅰ支持算法、α-三Ⅰ支持算法。     

Design and analysis of miniaturized all-optical binary to gray code converter using Y-shaped plasmonic waveguide for optical processors

In this paper, an all-optical miniaturized binary to gray code converter is designed and analyzed. The all-optical domain is now an alternative for electronic devices, where performance and speed are the key issues. Code converters are significantly used in digital data transmission in the areas of error detection and correction. Gray code is one of the cyclic codes, where the cyclic shift of each codeword is also a code word. An all-optical XOR gate, realized using a Y-shaped power combiner is used in this design to generate the desired gray code from the given binary code. The insertion loss and extinction ratio parameters are found to be 0.347 dB and 22.26 dB, respectively. The entire simulation is carried out using finite-difference time-domain method. The obtained practical results are verified mathematically using MATLAB.

     

Synthesis of anisotropic NaNbO<Subscript>3</Subscript> seed crystals and fabrication of textured (K<Subscript>0.5</Subscript>Na<Subscript>0.5</Subscript>)NbO<Subscript>3</Subscript>-based ceramics

High aspect ratio patelike NaNbO₃ particles with pure perovskite structure have been successfully synthesized by topochemical microcrystal conversion (TMC) from plate-like precursor particles of the layer-structured Bi_2.5Na_3.5Nb₅O₁₈. By changing the Bi_2.5Na_3.5Nb₅O₁₈/Na₂CO₃ ratio, large and thin NaNbO₃ particles with a thickness of approximately 0.5 μm and a width of approximately 20 μm were obtained. The obtained NaNbO₃ particles is quite suitable for fabricating textured (K_0.5Na_0.5)NbO₃-based ceramics. Using the fine platelike NaNbO₃ particles as templates, dense <001> -oriented (K_0.5Na_0.5)NbO₃-0.5 mol %MnO₂ ceramics with high texture quality (Lotgering factor F ₀₀₁ = 87 %) and excellent piezoelectric properties were produced by templated grain growth. Compared with randomly oriented ceramics, textured samples show greatly enhanced properties. The room-temperature strain S, the piezoelectric coefficient d ₃₃ ^* and d ₃₃ reach up to 0.093 %, 233 pm/V and 195pC/N, respectively, which are all about 1.5 times larger than those of non-textured ceramics.     

高介电常数、低介电损耗聚合物复合电介质材料研究进展

高介电常数聚合物电介质材料作为当今信息功能材料的研究热点,具有实际的应用价值和前景。综述了聚合物基复合电介质材料的分类及优缺点,以及从材料微观结构设计和填料界面修饰出发(如三元杂化或设计核壳和三明治结构),来获得高介电常数、低介电损耗聚合物复合电介质材料的研究状况和应用前景,以期对高介电、低损耗聚合物基电介质材料有一个更直观全面的了解,进一步拓展该类材料在电气和生物工程领域的研究和应用。     

动漫衍生品数字展厅的设计与实现

该文阐述了构建动漫衍生品数字展厅的基础理论与研究思路,并在设计实践的基础上提出将视觉要素与数字技术相结合的设计流程与实现方法,开发出一个动漫衍生品的多功能网络展示平台,以此作为虚拟现实技术在动漫领域应用的初步尝试,并提出其潜在应用对象与发展前景。     

Algorithms for computing the optimal transitive approximation of a proximity relation

Three ways for generating the optimal transitive approximations or a suboptimal transitive approximation are given in this paper. The first one can obtain all the optimal transitive approximations for any proximity relation. However, trying to find all the optimal transitive approximations can be very expensive. The second one gives a method to obtain a suboptimal transitive approximation which can frequently generate an optimal transitive approximation. Furthermore, starting from the transitive closure the third method is proposed which can obtain a locally optimal transitive approximation. Finally, numerical experiments are carried out to show the abilities of these algorithms and compare them to other existing approximation algorithms.     

Adaptive neural control for uncertain stochastic nonlinear strict-feedback systems with time-varying delays: A Razumikhin functional method

This paper addresses the problem of adaptive neural control for a class of uncertain stochastic nonlinear strict-feedback systems with time-varying delays. A novel adaptive neural control scheme is presented for this class of systems, based on a combination of the Razumikhin functional approach, the backstepping technique and the neural network (NN) parameterization. The proposed adaptive controller guarantee that all the error variables are 4-Moment semi-globally uniformly ultimately bounded in a compact set while the system output converges to a small neighborhood of the reference signal. Two simulation examples are given to demonstrate the effectiveness of the proposed control schemes.     

An effective genetic algorithm for the flexible job-shop scheduling problem

In this paper, we proposed an effective genetic algorithm for solving the flexible job-shop scheduling problem (FJSP) to minimize makespan time. In the proposed algorithm, Global Selection (GS) and Local Selection (LS) are designed to generate high-quality initial population in the initialization stage. An improved chromosome representation is used to conveniently represent a solution of the FJSP, and different strategies for crossover and mutation operator are adopted. Various benchmark data taken from literature are tested. Computational results prove the proposed genetic algorithm effective and efficient for solving flexible job-shop scheduling problem.