Development of an energy-saving method of resistance projection welding of multilayer welded structures

A highly efficient energy-saving method of resistance projection welding of 3–4 components in a single cycle is described. The method is based on the automatically regulated gradual introduction of electric energy into the zone between the electrodes.     

A new k‐epsilon model consistent with Monin–Obukhov similarity theory

A new k‐? model is introduced that is consistent with Monin–Obukhov similarity theory (MOST). The proposed k‐? model is compared with another k‐? model that was developed in an attempt to maintain inlet profiles compatible with MOST. It is shown that the previous k‐? model is not consistent with MOST for unstable conditions, while the proposed k‐? model can maintain MOST inlet profiles over distances of 50km. Copyright © 2016 John Wiley & Sons, Ltd.     

Fuzzy multiple attribute decision-making method for a large 300-mm fab layout design

The trend in design of 300-mm wafer fabrication facilities is to seek means to bring about economies of scale. However, this may require trade-offs with various operational efficiencies. This research explores 10 alternative layout designs for a large 300-mm fabrication facility. These alternatives are the different combinations of independent and layer-based cellular design concepts, and are evaluated using a fuzzy multiple attribute decision-making method. A case study has been adopted for an empirical illustration. The results show that a megafab is not a preferred choice. The analysis concludes that a moderate-sized independent cell is a preferred design concept. The results provide fabrication facility management with guidelines for a future 300-mm layout design, which is the backbone of a cost-intensive 300-mm fabrication facility. Future research opportunities are also addressed.     

The use of nested desirability functions and quality indices for multi-response robust parameter design problems

A multi-response robust parameter design (RPD) problem-solving technique based on desirability functions is presented in which the means and variances of all responses are placed on a level playing field. The proposal allows a decision maker to integrate their preferences for the individual means and variances. It is shown that the ensuing operating point is a system setting that produces a mutually robust set of responses. In addition, this article offers an approach to assess several RPD strategies via quality indices. The measures presented here allow for a more knowledgeable and comprehensive evaluation of the competing RPD strategies.     

Dynamic computing rough approximations approach to time-evolving information granule interval-valued ordered information system

With the advent of Big Data era has seen both the volumes and update rates of data increase rapidly. The granular structure of an information system is evolving with time when redundancy data leaves and new data arrives. In order to quickly achieve the rough approximations of dynamic attribute set interval-valued ordered information system that the attribute set varies over time. In this study, we proposed two dynamic computing rough approximations approaches for time-evolving information granule interval-valued ordered information system which induced by the deletion or addition some attributes, respectively. The updating mechanisms enable obtaining additional knowledge from the varied data without forgetting the prior knowledge. According to these established computing rules, two corresponding dynamic computing algorithms are designed and some examples are illustrated to explain updating principles and show computing process. Furthermore, a series of experiments were conducted to evaluate the computational efficiency of the studied updating mechanisms based on several UCI datasets. The experimental results clearly indicate that these methods significantly outperform the traditional approaches with a dramatic reduction in the computational efficiency to update the rough approximations.     

相似性分析方法在零功率堆物理设计上的应用

对于新型反应堆的研究设计，零功率堆实验是不可缺少的阶段。为评估零功率堆和目标堆型间物理特性的相似程度，根据敏感性和不确定性分析技术，引入了3种评估系统间物理相似特性的指标。基于MONK连续能量下敏感性计算结果，编制了与其耦合的相似性分析程序，将分析程序的计算结果与TSUNAMI进行比较，结果显示符合良好。对两个主要相似性指标C_k和E大于0.95、大于0.9、大于0.8 3种情况进行了分析，结果显示，系统间的相似性指标大于0.9才能保证足够的相似性。以铅铋快堆为目标堆型，采用相似性分析方法对其进行了零功率堆物理方案的设计。     

Developing a similarity index for static camouflaged target detection

Measurement of camouflage performance is of fundamental importance for military stealth applications. The goal of camouflage assessment algorithms is to automatically assess the effectiveness of camouflage in agreement with human detection responses. We propose a new method for computational evaluation of camouflage effectiveness. We evaluate the performance of the new method and other existing algorithms in a comparative setting which utilised an extensive human visual experiment. The results show that the new method is correlated with the human target searching results with higher correlations than the existing algorithms.     

Managing consensus and weights in iterative multiple-attribute group decision making

This study put forwards a novel consensus framework to manage the consensus and weights (i.e., weights of the experts and attributes) in iterative multiple-attribute group decision making (MAGDM) problem. In this consensus framework, an optimization-based consensus model is devised to support the process of preferences-modifying, which seeks to minimize the adjustment amounts (in the sense of Manhattan distance) between the original and adjusted preferences. Then, the other two optimization-based consensus models are constructed to support the weights-updating, in which the consensus level among experts can be further improved. A numerical example is provided to show the application of the proposed consensus framework, and a detailed comparison analysis is presented to verify the effectiveness of the proposed consensus framework.