A Fuzzy Design Algorithm in Nature-Inspired Computation Systems
The architecture of nature-inspired computation systems is inquired into, the characteristics of fuzzy design in nature-inspired computation systems are researched, and a particular scheme on fuzzy design in nature-inspired computation systems is designed with environment being these data gathered from the present; study unit adopting fuzzy optimization algorithm based on genetic algorithm; knowledge base adopting design criteria; executive part being design unit. The fuzzy optimization learning algorithm of regression equation is built, and the flow chart of the algorithm is constructed. At last, the design criteria of flash size are obtained, and the stability of the algorithm is verified through this example. The result shows that fuzzy design makes nature-inspired computation systems be able to gain knowledge automatically with their quality improved and their intelligent level advanced, and fuzzy design will greatly influence the memory mode, information input mode and system structures of nature-inspired computation systems.

title: The Predictive Control of Sintering Temperature in Rotary Kiln Based on Image Feedback and Soft Computing
abstract: The sintering temperature in rotary kiln is measured through image processing algorithm as feedback of its predictive control. The predictive model based on radial basis function (RBF) network is designed by the image and other process data optimized by genetic algorithm. The final results of application at an alumina sintering kiln show that this intelligent predictive control strategy can achieve higher stability in normal condition.

title: A Simplified Learning Algorithm of Incremental Bayesian
abstract: A proportion factor is constructed though the Maximum Aposteriori Probability of examples in test data to select the training examples in incremental learning process. Instead of complex normal classify loss expression, the proportion factor λ is used to estimate the classify loss to improve classification efficiency. The final experiment shows that this algorithm is feasible, and more accurate than simple Bayesian classifier. The computing time is highly reduced on the optimal selection of examples in incremental learning process.

title: An Improved Immune Evolutionary Algorithm for Multimodal Function Optimization
abstract: Based on the inspiration of immune system, a new multi-objective optimization algorithm is presented. The proposed approach adopts a cluster mechanism in order to divide the population into subpopulations for the stage of selection and reproduction. In the immune clonal selection process, a hybrid hypermutation operator is introduced to improve the variety of antibodies and affinity maturation, thus it can quickly obtain the global and local optima. The simulation results illustrated that the efficiency of the proposed algorithm for complicated function optimization and verified it's remarkable quality of the global and local convergence reliability.

title: A comprehensive study on backup-bandwidth reprovisioning after network-state updates in survivable telecom mesh networks

title: Large area nanosize array stamp for UV-based nanoimprint lithography fabricated by size reduction process
abstract: A novel size reduction process using electron beam lithography (EBL) combining with wet etching technique is developed as a possible solution for producing large area and low cost nanopattern stamp for UV-based nanoimprint lithography (UV-NIL). In the first step, a microstructure stamp with 1.4@mm periodical pore array and aspect ratio of 1:1 was formed over a 1inch^2 area on a quartz substrate. This process was carried out using common electron beam lithography (EBL) equipment, which was easily available in the modern integrated circuits (IC) semiconductor factory. Afterwards, with a controlled wet etching technique, the pore array was changed into tip patterns with the line width below 100nm and the period keeping as before. The uniformities and nanopattern accuracies were investigated to identify its possibility as a UV-NIL stamp by AFM and SEM. Finally, as a demonstration, the as obtained stamp was used as a positive stamp to replicate the nanotips into UV-curable resist successfully by a UV-NIL process. The method developed for the mold of nanoimprint lithography would be a simple and low price approach to fabricate large area UV-NIL stamp and the nanotip array structures would be widely used in two dimensional (2D) photonic crystal application.

title: Terminal Delay Performance Evaluation Based on Piece-Wise Fuzzy Linear Regression Modeling
abstract: This paper constructs a piece-wise fuzzy linear regression model for terminal delay estimation using the traffic demand and weather. Earlier, the features of traffic demand and weather were used to develop a linear regression model for delay. The accuracy of delay estimation model using a single linear fit is improved by the three-piece fuzzy linear model. Results are presented on the development of the three-piece fuzzy linear model using 360 days data of one terminal area from 2004. The fuzzy methodology, together with the three-step regression model, provides the estimation of the terminal delay performance.

title: Advances in Fuzzy Method for Natural Computing
abstract: Both natural computing and fuzzy method exhibit human-like mental processing. Natural computing is the field of research that works with computational techniques inspired in part by natural systems. Fuzzy method is an alternative to traditional notions of set membership and logic, and it occurs in many applications of engineering, science and medicine. This paper presents a survey of recent advances in fuzzy method for natural computing, such as fuzzy artificial neural networks, fuzzy genetic algorithms, fuzzy ant colony optimization, fuzzy artificial immune systems, etc. We utilize uncertainty handling capacity of fuzzy method for modeling ambiguity, and the learning ability of natural computing for efficiently traversing large search spaces.

title: Business Process-Oriented Software Architecture for Supporting Business Process Change
abstract: As a business process is essential in running an enterprise, this paper aims toward improving software architecture by extracting business-relevant semantics from business logic and transforming them as important elements that need to be molded and represented in software architecture. This allows for the development of a business process-oriented software architecture (BPOSA) that can support smoother business process change. The paper introduces the structure of BPOSA and its work mode. Then it describes the steps involved in designing a process-oriented software system, and provides analysis and design methods of extending process-relevant attributes for application in business operations.