A closed-loop particle swarm optimizer for multivariable process controller design

Design of general multivariable process controllers is an attractive and practical alternative to optimizing design by evolutionary algorithms （EAs） since it can be formulated as an optimization problem. A closed-loop particle swarm optimization （CLPSO） algorithm is proposed by mapping PSO elements into the closed-loop system based on control theories. At each time step, a proportional integral （PI） controller is used to calculate an updated inertia weight for each particle in swarms from its last fitness. With this modification, limitations caused by a uniform inertia weight for the whole population are avoided, and the particles have enough diversity. After the effectiveness, efficiency and robustness are tested by benchmark functions, CLPSO is applied to design a multivariable proportional-integral-derivative （PID） controller for a solvent dehydration tower in a chemical plant and has improved its performances.     

A multi-class large margin classifier

Currently there are two approaches for a multi-class support vector classifier （SVC）. One is to construct and combine several binary classifiers while the other is to directly consider all classes of data in one optimization formulation. For a K-class problem （K〉2）, the first approach has to construct at least K classifiers, and the second approach has to solve a much larger optimization problem proportional to K by the algorithms developed so far. In this paper, following the second approach, we present a novel multi-class large margin classifier （MLMC）. This new machine can solve K-class problems in one optimization formulation without increasing the size of the quadratic programming （QP） problem proportional to K. This property allows us to construct just one classifier with as few variables in the QP problem as possible to classify multi-class data, and we can gain the advantage of speed from it especially when K is large. Our experiments indicate that MLMC almost works as well as （sometimes better than） many other multi-class SVCs for some benchmark data classification problems, and obtains a reasonable performance in face recognition application on the AR face database.     

Virtual reality approach for 3D large model browsing on web site

Using virtual reality for interactive design gives a designer an intuitive vision of a design and allows the designer to achieve a viable, optimal solution in a timely manner. The article discusses the process of making the Virtual Reality System of the Humble Administrator＇s Garden. Translating building data to the Virtual Reality Modeling Language （VRML） is by far unsatisfactory. This creates a challenge for computer designers to do optimization to meet requirements. Five different approaches to optimize models have been presented in this paper. The other methods are to optimize VRML and to reduce the file size. This is done by keeping polygon counts to a minimum and by applying such techniques as object culling and level-ofdetail switching.     

Reconfigurable-system-on-chip implementation of data processing units for space applications

Application-specific data processing units （DPUs） are commonly adopted for operational control and data processing in space missions. To overcome the limitations of traditional radiation-hardened or fully commercial design approaches, a reconfigurable-system-on-chip （RSoC） solution based on state-of-the-art FPGA is introduced. The flexibility and reliability of this approach are outlined, and the requirements for an enhanced RSoC design with in- flight reconfigurability for space applications are presented. This design has been demonstrated as an on-board computer prototype, providing an in-flight reconfigurable DPU design approach using integrated hardwired processors.     

Towards an eclectic framework for teaching EFL writing in a Chinese context

The challenges of writing itself and lack of appropriate teaching methodology demotivate EFL （English as a Foreign Language） learners in some Chinese universities to write more, especially as the only incentive for students to write is the compulsory tests. The main objectives of this article are： （1） to discuss the background of the EFL learners in Chinese tertiary education and then to elaborate on their needs and problems for EFL writing; （2） to review the existing approaches to teaching writing; and （3） to propose and justify an integrated model on the basis of these approaches for teaching EFL writing in the Chinese context.     

High throughput bandwidth optimized VLSI design for motion compensation in AVS HDTV decoder

In this paper we present a motion compensation （MC） design for the newest Audio Video coding Standard （AVS） of China. Because of compression-efficient techniques of variable block size （VBS） and sub-pixel interpolation, intensive pixel calculation and huge memory access are required. We propose a parallel serial filtering mixed luma interpolation data flow and a three-stage multiplication free chroma interpolation scheme. Compared to the conventional designs, the integrated architecture supports about 2.7 times filtering throughput. The proposed MC design utilizes Vertical Z processing order for reference data re-use and saves up to 30% memory bandwidth. The whole design requires 44.3k gates when synthesized at 108 MHz clock frequency using 0.18-μm CMOS technology and can support up to 1920×1088@30 fps AVS HDTV video decoding.     

Efficient processing of ordered XML twig pattern matching based on extended Dewey

Finding all occurrences of a twig pattern is a core operation of extensible markup language （XML） query processing. Holistic twig join algorithms, which avoid a large number of intermediate results, represent the state-of-the-art algorithms. However, ordered XML twig join is mentioned rarely in the literature and previous algorithms developed in attempts to solve the problem of ordered twig pattern （OTP） matching have poor performance. In this paper, we first propose a novel children linked stacks encoding scheme to represent compactly the partial ordered twig join results. Based on this encoding scheme and extended Dewey, we design a novel holistic OTP matching algorithm, called OTJFast, which needs only to access the labels of the leaf query nodes. Furthermore, we propose a new algorithm, named OTJFaster, incorporating three effective optimization rules to avoid unnecessary computations. This works well on available indices （such as B~-tree）, skipping useless elements. Thus, not only is disk access reduced greatly, but also many unnecessary computations are avoided. Finally, our extensive experiments over both real and synthetic datasets indicate that our algorithms are superior to previous approaches.     

Hierarchical topic modeling with nested hierarchical Dirichlet process

This paper deals with the statistical modeling of latent topic hierarchies in text corpora. The height of the topic tree is assumed as fixed, while the number of topics on each level as unknown a priori and to be inferred from data. Taking a nonparametric Bayesian approach to this problem, we propose a new probabilistic generative model based on the nested hierarchical Dirichlet process （nHDP） and present a Markov chain Monte Carlo sampling algorithm for the inference of the topic tree structure as well as the word distribution of each topic and topic distribution of each document. Our theoretical analysis and experiment results show that this model can produce a more compact hierarchical topic structure and captures more fine-grained topic relationships compared to the hierarchical latent Dirichlet allocation model.     

Application of grey relational analysis in sheet metal forming for multi-response quality cnaracterlsncs

The theory of grey systems is a new technique for performing prediction, relational analysis and decision making in many areas. In this paper, the use of grey relational analysis for optimizing the square hole flanging process parameters with considerations of the multiple response （the average flanging height, regular flanging and maximum strain） is introduced. Various flanging parameters, such as the blank inner radius rb, blank inner width B0, are considered. An orthogonal array is used for the experimental design. Multiple response values are obtained using finite element analysis （FEA）. Optimal process parameters are determined by the grey relational grade obtained from the grey relational analysis for multi-performance characteristics （flanging height, regular flanging and maximum strain）. Analysis of variance （ANOVA） for the grey relational grade is implemented. The results showed good agreement with the experiment result. Grey relational analysis can be applied in multiple response optimization designs.     

Reaching out to single parent children through filial therapy

Single parenthood as a common psychosocial phenomenon seems to be regarded as one of the most significant issues in the psychological domain and needs to be taken into serious consideration due to emotional, psychological, and social problems created by it. With regard to the rapidly growing population of single parents and their children experiencing relationship-based problems, interventions which deal with relational issues are worth in-depth explorations. This study was primarily concerned with the betterment of single parent-child relationships. For the purpose of this research, a case study was conducted to probe into the impact of filial therapy-a relationship-enhancement family/play therapy--on （1） reducing children＇ problem behaviors, and （2） ameliorating parent-child dysfunctional relationships through improving parenting knowledge and skills. The intended data for the study was gathered through （1） pre-post play observation, （2） parent＇s self-reports, and （3） the reports obtained from a kindergarten trainer. The outcomes of this one-month long case study revealed that filial therapy has the potentiality in enhancing and rebuilding parent-child relationships through teaching single parents the skills necessary for coping with the problems accelerated by the newly developed situation, which might be seen as a result of single parenthood （e.g., childhood problem behaviors, parent-child relational problems, lack of adequate parenting knowledge and skills）. In the end, this article concludes a few suggestions for future studies in this field.     

XML数据存储映射模型研究

随着网络技术的发展和XML的标准化,越来越多的信息以XML文档的形式表示和交换.针对如何对XML数据进行有效管理的问题,提出了一种将XML文档存储到关系数据库中的存储映射模型X2RDB,该模型首先对XMLSchema进行简化和处理,并由此构造对应的关系数据库模式,最终将XML文档中的数据提取并存储到关系数据库中.     

关系数据库转换成XML的编程思想及其实现

本系统实现了关系数据库转换成可扩展标记语言XML的转换策略,并采用当前流行的JAVA技术,利用面向对象的编程思想,应用Jbuilder2006集成开发工具软件进行设计和编程,具体设计实现了关系数据到XML的转换软件.     

关系模型和XML文档之间数据对应关系的研究

XML的出现，使得应用数据的信息表示更趋统一，但依然存在旧的数据与XML表示形式之间的差别，文章论述了关系模型和XML文档之间的数据描述的对应关系，以及以此为基础的XML文档与关系数据库之间转换的实现。     

关系数据库到XML文档的转换研究

分析了XML文档与关系数据库之间的关系;讨论了XML文档与关系数据库之间相互转换的方法。结合实例给出了关系数据库到XML文档转换的方法。     

基于关系模式的XML数据存储技术研究

XML数据具有自描述性和半结构化特征,所以在数据库、网络等许多方面都有良好的应用前景.本文讨论了如何利用关系模式来映射XML模式以在XML的文档数据结构和底层的存储结构间进行转换,从而在关系数据库中存取XML数据的技术;同时进行了初步应用.     

XML在关系数据库中的存储检索研究

由于Web上半结构化数据的复杂性,XML已成为Internet上数据交换的标准。这就对于XML存储与检索等一系列文件管理提出了新的要求。主要结合SQL Server关系数据库管理系统,分析了XML在关系数据库中的存储策略,以及结合XQuery对于数据库中XML文档的检索方法。     

基于关系数据库的两种XML文档存储模式的对比

论述了XML数据存储技术,并对基于关系数据库的两种XML文档存储模式,即文档模式和结构类型模式进行了分析与比较。     

关系模式到XML Schema的高效转换算法研究

为了将大量的数据以关系数据库的形式存储和保存,将这些关系数据转换成XML文档,给出一个基于查询的关系模式到XML模式转换的有效算法。通过分析数据值基数和用户查询模式,采用列间的相等合并的方式,解决隐式参照完整性问题,最终结果用XML Schema表示。此算法能够避免关系模式转换成错误的XML Schema,并且能够全面有效地表达关系模式中的信息,实现有效信息的充分利用。     

基于XML的异构数据库数据转换技术的探讨

充分利用XML的可扩展性和自描述性等特性,建立异构数据库数据转换冲突的解决方法,并在此基础上建立XML与关系模型和对象模型的映射规则,实现了数据从关系模型数据库到对象模型数据库的转换,并通过实例验证了方法的正确性．     

基于.net和XML的数据移植的实现

异构数据源的移植问题是当前数据处理领域内研究的一个热点,文章提出一种以XML文件为中介、利用ADO.NET技术实现Access和SQL Server之间的数据移植的方法,设计了基于.net的关系型数据库数据转XML文件和XML文件转换关系型数据库数据的方法,为同类系统的移植提供了有益的参考。