Comparison of conventional and soft computing-based power control methods in mobile communications systems

 In this paper, we give a comparison between the conventional power control scheme and soft computing-based approaches in a mobile communications application. At the base station, the `bang–bang' control strategy and a neural network-based prediction control method are employed. In addition, full power command transmission mode, single-bit command transmission mode, and fuzzy logic-based power command enhancement unit are considered. Based on simulation experiments, we quantitatively evaluate the performance of various combinations of these control methods and command transmission modes. Conclusions on the optimal configuration are finally drawn.     

Characterization of fuzzy clustering algorithms in terms of entropy of probabilistic sets

We discuss a method of evaluating fuzzy clustering algorithms. Each of them generates a partition matrix of a data set with the entries lying in the [0, 1] interval and expressing the grade of belonging of the object to the clusters detected. Membership functions of the same cluster are interpreted as probabilistic sets in the sense of Hirota. This makes it possible to characterize the clusters by means of the entropy of the corresponding probabilistic sets. Moreover, the mutual entropy of pairs of probabilistic sets provides an index for evaluating the degree of interaction between clusters.     

An efficient multi criteria process optimization framework: Sustainable improvement of the Dimethyl Ether Process

No longer is it appropriate to evaluate processes for economic feasibility alone; social benefits and environmental impacts must also be considered. This work develops a multi criteria systematic framework for optimum process design with sustainability considerations and addresses a major challenge in process design as engineers will now be able to design for multiple criteria, specifically sustainability concerns. A novel multi objective optimization algorithm capable of handling a multitude of objectives in mixed integer nonlinear search space and a novel decision making methodology are integrated with a sequential modular process simulator to optimize processes with a multitude of objectives rigorously and efficiently. The application of this research extends well beyond sustainability considerations to the very vast area of optimum design with multi criteria. The application of the proposed framework is demonstrated through a case study for process retrofit of Dimethyl Ether production plant.     

模糊综合评判法用于肝豆状核变性症的临床分型研究

肝豆状核变性症(Wilson 氏病)首发症状形式变样而常导致诊断困难和误诊。鉴于本病症状极其复杂多变,和各病型之间的分类又无明确的关系,故试用模糊数学的理论和方法对本病分型进行初步研究。在计算机上,采用逐次调整步长选择最优权系分配进行评判,回判率达85%—97%。结果表明此法有效可行。     

通用模糊综合评判工具的研究与应用

根据模糊综合评判法应用的广泛性及现状,提出开发通用的模糊综合评判工具。通过分析需求,建立了系统的功能结构,并通过实例展示了系统的功能。该工具基于Web,利用它,可以针对不同评价问题迅速开发相应的评判系统,且适合群决策,方便而易于使用。     

用改进的AHP法及模糊综合评判理论优选过水围堰堰型

本文在考虑影响水围堰堰型选择的主要因素的基础上，应用改进的ＡＨＰ法及模糊综合评判原理，为水利电力工程的施工导流设计，提供了一个合理选择过水围堰堰型的综合评判决策方法。     

Fuzzy optimization of cold-formed steel sheeting using genetic algorithms

In this paper, genetic algorithms are applied for optimization of dimensions of cold-formed steel trapezoidal sheeting. The objective of the optimization is to obtain the minimum weight subjected to the given constraints in accordance with Eurocode 3, Part 1.3. In traditional optimization, these constraints are defined with crisp number. However, in practical engineering, constraints with a small certain percentage of violation can be acceptable. Thus, in this research, sheeting is optimized to satisfy the constraints considering the fuzziness so that the optimization is more practical from the engineering point of view. The better performance of introducing the fuzziness into a constraints-handling technique has been demonstrated with a design example.     

基于计算机图像处理的冲压床保护技术研究

本文用图像处理方法对冲压床保护技术进行了比较深入的研究。从两种角度对其进行了分析：对未带手套的手与工件的识别,采用了HSI颜色系统并利用了模糊技术进行处理;对带手套的手与工件的识别,利用了图像纹理形成的灰度共生矩阵并提取其特征参数来进行识别。实验结果表明：该方法能有效地区分手和工件,达到了预期目标,结果是可以接受的,为下一步进行有效的控制提供了依据。     

模糊PID控制算法在气缸位置伺服控制中的应用

对有非线性的气缸进行位置伺服控制,采用模糊PID作为控制器的控制算法,提出了分区间分段利用模糊方法调节PID参数的算法。实验结果表明,这样既能防止超调又能提高响应速度,明显地改善了系统的动态和静态性能,并且对气源压力及负载变化的鲁棒性也较强。     

拖拉机液压悬挂系统模糊控制的研究

该文对拖拉机液压悬挂系统的模糊控制器进行了设计，采用MATLAB软件进行了仿真分析，并进行了试验研究，结果表明模糊控制对液压悬挂系统控制是适应的，对改善拖拉机作业质量提供了可靠的理论和试验依据。