响应曲面法优化硫脲浸出烧结灰中银的工艺研究

以炼铁烧结机头除尘灰(烧结灰)为实验原料,通过XRF、XRD、SEM-EDS手段对原料进行表征,采用酸性硫脲法浸出烧结灰提取银。在单因素实验的基础上,使用响应曲面法(RSM)对烧结灰中提取银的工艺条件进行优化,以炼铁烧结灰中银的浸出率为响应值,选取对硫脲浸出烧结灰提银过程有显著影响的变量(反应温度、硫脲浓度、浸出时间)作为考察因素,采用Central Composite Design(CCD)中心设计方案以三因素五水平设计实验,得到最优的提银工艺条件,并获得拟合度高的二阶多项式模型。结果表明:硫脲浸出烧结灰中银的最佳工艺为反应温度50℃、硫脲浓度22g/L、浸出时间90min;在最佳提取条件下,银浸出率的模型预测值为89.38%,实验真实银的浸出率为89.9%,其相对误差为0.52%,表明实际值与模型预测值接近,可用于预测烧结灰提取银的浸出过程。     

基于蒙特卡洛方法的触发器聚类布局算法

针对触发器聚类的布局问题,提出了一种基于蒙特卡洛方法的触发器聚类布局算法。该方法的核心思想为设计合理的评分函数,并通过蒙特卡洛方法模拟触发器聚类在版图上的随机游走过程,获取样本,再通过评分函数评价样本质量,逐步地在可行域中搜索最优解。实验结果表明,相较于现有的方法,该方法在总线长与时序性能两方面,分别得到平均约9%与17%的改善与提升。此外,该方法具有较强的健壮性,适用于复杂度较高或者版图利用率较高的设计,并能够快速收敛,以较小的时间代价完成优化。     

Towards the appropriate human-centred information systems: A case study of the Japanese retail industry

The industries of Japan have developed by learning from Western industries, especially the USA, and by implementing many of their concepts and technologies. However, Japanese industries have often implemented these concepts and technologies in a very different way from the USA. For example, while the USA uses information systems in retail industries as a tool by which data are collected and analysed to control the market, in Japan this same technology is considered rather as a learning device to interpret the market. While in the USA the market is seen as a natural phenomenon capable of being controlled, the Japanese see it as an ambiguous phenomenon that is ever changing and is not capable of being controlled. Rather it is important to feel the change in the market itself.This paper introduces human centredness to the information system, and argues against modern rationalism, i.e. human versus technology, taking the case of use of POS data from the POS system (point of sale: a system that collects data on both the customer and goods sold by scanning bar codes that are attached to the surface of the goods) by the eminent Japanese retailer, Ito-Yokado. It emphasises an interactive concept of interaction between human and technology of the postmodern paradigm.     

基于整体效果的装备体系作战效能评估方法研究

针对武器装备体系作战效能评估进行了研究,提出了基于整体效果的装备体系作战效能评估方法,包括任务完成情况分析、整体作战效果分析、基于价值中心的等效分析、灵敏度分析及装备贡献度分析等环节。在此基础上,建立了基于整体效果的装备体系作战效能评估元模型,并设计开发了装备体系作战效能评估分析系统。实践证明,所提出的方法是可行的。     

Numerical simulation of detonation using an adaptive Cartesian cut-cell method combined with a cell-merging technique

A second-order accurate scheme for the Cartesian cut-cell method developed previously by the authors [Ji H, Lien F-S, Yee E. Comput. Methods Appl. Mech. Eng. 198 (2008), 432] is generalized for application to both two- and three-dimensional inviscid compressible flow problems. A cell-merging approach is used to address the so-called “small cell” problem that has plagued Cartesian cut-cell methods. In the present cell-merging approach, the conservative variables are stored at the cut-cell centroid (including the non-merged and merged cut-cells) rather than at the Cartesian cell center. Although this approach results in a more complicated search algorithm for the determination of the neighbor cells (required for the computation of the spatial gradients of the conservative variables), this approach enables the straightforward formulation of a higher than first-order accurate discretization scheme in the vicinity of the (complex and irregular) internal boundaries of the flow domain. Six test cases (including detonation problems) are used to demonstrate the accuracy and capability of the adaptive cut-cell method, for which both mesh refinement and derefinement techniques are employed in the case of an unsteady shock diffraction problem.     

A modeling approach on the TelosB WSN platform power consumption

Substantial characteristics of wireless sensor networks, such as autonomy and miniature size, are achieved at the expense of restricted energy resources. Optimal resource management is thus among the most important challenges in WSNs development and its success requires accurate and practical models based on detailed insight concerning the factors contributing to the overall power consumption of a WSN mote. To achieve such awareness, that will enable models development, appropriate measuring test-beds and methodologies are needed, facilitating reliable and accurate power consumption measurements of critical functionalities.To cover the need for energy models that precisely define the power consumption behavior of WSN hardware platforms, this paper contributes with a measuring methodology including three steps: the design and implementation of a measuring system for a wide range of power consumption thresholds, the identification, isolation and measurement of elementary functionalities of a WSN platform with respect to their contribution to the overall mote power consumption, and the extraction of valuable conclusions based on the respective measurements resulting in the composition of a practical, yet accurate power consumption model.     

Physical Design Methodology for Godson-2G Microprocessor

The Godson-2G microprocessor is a high performance SOC which integrates a four-issue 64-bit high performance CPU core(called GS464),a DDR2/3 controller,a HyperTransport controller,a PCI/PCI-X controller,etc.It is physically implemented in 65 nm CMOS process and reaches the frequency of 1GHz with power consumption less than 4 W.The main challenges of Godson-2G physical implementation include nanometer process technology effects,high performance design targets,and tight schedule.This paper describes the ke...     

A review of optimization methodologies in support vector machines

Support vector machines (SVMs) are theoretically well-justified machine learning techniques, which have also been successfully applied to many real-world domains. The use of optimization methodologies plays a central role in finding solutions of SVMs. This paper reviews representative and state-of-the-art techniques for optimizing the training of SVMs, especially SVMs for classification. The objective of this paper is to provide readers an overview of the basic elements and recent advances for training SVMs and enable them to develop and implement new optimization strategies for SVM-related research at their disposal.     

A parameter-tuned genetic algorithm for the resource investment problem with discounted cash flows and generalized precedence relations

A resource investment problem with discounted cash flows (RIPDCF) is a project-scheduling problem in which (a) the availability levels of the resources are considered decision variables and (b) the goal is to find a schedule such that the net present value of the project cash flows optimizes. In this paper, the RIPDCF in which the activities are subject to generalized precedence relations is first modeled. Then, a genetic algorithm (GA) is proposed to solve this model. In addition, design of experiments and response surface methodology are employed to both tune the GA parameters and to evaluate the performance of the proposed method in 240 test problems. The results of the performance analysis show that the efficiency of the proposed GA method is relatively well.     

Metamodeling of Smart Environments: from design to implementation

A smart environment is a physical environment enriched with sensing, actuation, communication and computation capabilities aiming at acquiring and exploiting knowledge about the environment so as to adapt itself to its inhabitants’ preferences and requirements. In this domain, there is the need of tools supporting the design and analysis of applications. In this paper, the Smart Environment Metamodel (SEM) framework is proposed. The framework allows to model applications by exploiting concepts specific to the smart environment domain. SEM approaches the modeling from two different points of view, namely the functional and data perspectives. The application of the framework is supported by a set of general guidelines to drive the analysis, the design and the implementation of smart environments. The effectiveness of the framework is shown by applying it to the modeling of a real smart office scenario that has been developed, deployed and analyzed.