Intuitionistic fuzzy rough sets: at the crossroads of imperfect knowledge

Abstract: Just like rough set theory, fuzzy set theory addresses the topic of dealing with imperfect knowledge. Recent investigations have shown how both theories can be combined into a more flexible, more expressive framework for modelling and processing incomplete information in information systems. At the same time, intuitionistic fuzzy sets have been proposed as an attractive extension of fuzzy sets, enriching the latter with extra features to represent uncertainty (on top of vagueness). Unfortunately, the various tentative definitions of the concept of an ‘intuitionistic fuzzy rough set’ that were raised in their wake are a far cry from the original objectives of rough set theory. We intend to fill an obvious gap by introducing a new definition of intuitionistic fuzzy rough sets, as the most natural generalization of Pawlak's original concept of rough sets.     

面向注射成型工艺的多信号实时测试系统

介绍了测试系统的设计原理、测量方法与关键环节，利用温度—压力双功能传感器测量注射成型过程中高速变化的压力、温度信号，并采用所开发的测试软件采集、显示实时变化的多路信号。该系统实现了注射成型过程的多信号自动、实时测试，并能通过计算机对数据进行处理与分析。     

Dynamical geometry for multiscale dissipative particle dynamics

In this paper, we review the computational aspects of a multiscale dissipative particle dynamics model for complex fluid simulations based on the feature-rich geometry of the Voronoi tessellation. The geometrical features of the model are critical since the mesh is directly connected to the physics by the interpretation of the Voronoi volumes of the tessellation as coarse-grained fluid clusters. The Voronoi tessellation is maintained dynamically in time to model the fluid in the Lagrangian frame of reference, including imposition of periodic boundary conditions. Several algorithms to construct and maintain the periodic Voronoi tessellation are reviewed in two and three spatial dimensions and their parallel performance discussed. The insertion of polymers and colloidal particles in the fluctuating hydrodynamic solvent is described using surface boundaries.     

基于Java和Oracle数据库的航空飞行电报数据处理

航空飞行电报是空中交通管制指挥监测的重要数据源，电报中包含了航空飞行的关键数据信息，介绍了一种基于Java和Oracle数据库的航空飞行电报数据提取和数据加载的方法，并对其性能优化，避免数据冗余的特点作了重点描述。     

配比加香时滞控制系统设计及其实现

本文将常规控制理论、配比加香控制系统的基本特点以及PLC编程的技巧进行有机结合，提出了一整套简单可行的控制算法，通过延时送数，累计量配比、实时补偿等控制策略，有效的实现了这类大滞后系统的高精度参配控制问题，末尾给出了该控制算法在制丝线的一些实际应用情况，应用情况验证了控制算法的有效性。     

Robust output feedback control of nonlinear stochastic systems using neural networks

We present an adaptive output feedback controller for a class of uncertain stochastic nonlinear systems. The plant dynamics is represented as a nominal linear system plus nonlinearities. In turn, these nonlinearities are decomposed into a part, obtained as the best approximation given by neural networks, plus a remaining part which is treated as uncertainties, modeling approximation errors, and neglected dynamics. The weights of the neural network are tuned adaptively by a Lyapunov design. The proposed controller is obtained through robust optimal design and combines together parameter projection, control saturation, and high-gain observers. High performances are obtained in terms of large errors tolerance as shown through simulations.     

Efficient system-level functional verification methodology for multimedia applications

Multimedia application design exploration should begin at the system level, to meet low-power and minimum-area requirements. Existing validation techniques mainly concentrate on lower abstraction levels. This system-level methodology combines formal verification of loop-oriented transformations with correctness verification of arithmetic constructs and related control flows. A videoconferencing-decoder example illustrates the methodology's efficiency.     

Fundamental performance limitations in tracking sinusoidal signals

This paper attempts to give a thorough treatment of the performance limitation of a linear time invariant multivariable system in tracking a reference signal which is a linear combination of a step signal and several sinusoids with different frequencies. The tracking performance is measured by an integral square error between the output of the plant and the reference signal. Our purpose is to find the fundamental limit for the attainable tracking performance, under any control structure and parameters, in terms of the characteristics and structural parameters of the given plant, as well as those of the reference signal under consideration. It is shown that this fundamental limit depends on the interaction between the reference signal and the nonminimum phase zeros of the plant and their frequency-dependent directional information.     

一种用于原子核双卡防伪技术的快速定位算法

一般情况下,模式识别的计算量相当庞大。从工程的角度来看,在有限的计算资源下完成相应的任务是非常重要的。所以,许多问题都归结到算法的优化上。在原子核双卡防伪技术的开发中,笔者研究了一种基于图像几何特征的模式识别方法,将匹配范围缩小到一些可能的点作为搜索空间,极大地缩小了搜索范围,从而减小了计算量。