Pure perceptual-based sequence learning.

Learning a sequence of target locations when the sequence is uncorrelated with a sequence of responses and target location is not the response dimension (pure perceptual-based sequence learning) was examined. Using probabilistic sequences of target locations, the author shows that such learning can be implicit, is unaffected by distance between target locations, and is mostly limited to first-order transition probabilities. Moreover, the mechanism underlying learning affords processing of information at anticipated target locations and appears to be attention based. Implications for hypotheses of implicit sequence learning are discussed. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Learning-based dynamic coupling of discrete and continuous trackers

We present a data-driven dynamic coupling between discrete and continuous methods for tracking objects of high dofs, which overcomes the limitations of previous techniques. In our approach, two trackers work in parallel, and the coupling between them is based on the tracking error. We use a model-based continuous method to achieve accurate results and, in cases of failure, we re-initialize the model using our discrete tracker. This method maintains the accuracy of a more tightly coupled system, while increasing its efficiency. At any given frame, our discrete tracker uses the current and several previous frames to search into a database for the best matching solution. For improved robustness, object configuration sequences, rather than single configurations, are stored in the database. We apply our framework to the problem of 3D hand tracking from image sequences and the discrimination between fingerspelling and continuous signs in American Sign Language.     

Diffusion Coefficient of a Binary Liquid System

A generalized diffusion coefficient correlation for a binary system of liquids has been developed to represent the data for a wide range of temperatures. Detailed analysis shows that the proposed correlation fits the experimental measurements of diffusivity with the corresponding calculated values with an acceptable percentage error.     

海陆交互相三角洲高分辨率层序地层探析——以珠江口盆地惠州凹陷珠海组为例

针对海陆交互地区三角洲沉积体系特征，采用高分辨率层序地层多级次基准面旋回划分方案，通过对地震与测井等资料的综合分析，研究珠江口盆地惠州凹陷珠海组海陆交互相三角洲沉积体系的高分辨率层序地层学特征，在珠海组中识别出短期、中期和长期3个级别的基准面旋回。在此基础上，运用等时对比法则对各级旋回进行对比并建立层序地层格架，归纳了珠海组沉积时期2个长期基准面旋回内的沉积体系演化规律及其特征。     

一个安全有效的身份鉴别协议与对应的数字签名方案

本文利用二元一次不定方程和Schnorr身份鉴别协议，构造出一个新的身份鉴别协议，该协议在RSA问题和离散对数问题是难解的假设下是安全的，同时给出了所对应的数字签名方案。     

扩频通信系统相位的捕获与跟踪技术

本文讨论扩展频谱通信系统中有关相位的捕获与跟踪技术问题，道德在扩频通信系统原理的基础上结合实际系统中的应用条件，详细分析了捕获的方法、性能特点，给出了比较适用的2种捕获与跟踪原理图。理论分析与实验结果表明，所采用的分析方法和捕获方案是可行的。     

准噶尔盆地车排子地区侏罗系层序地层格架

在前人对准噶尔盆地全盆地或局部层序地层大量研究成果的基础上，重点对盆地西北缘侏罗系地层格架特征开展了深入、细致的解剖和刻划，建立了层序地层格架，首次对车排子地区侏罗系层序及体系域界面特征进行了描述，并结合钻探井资料，划分了有利的沉积相带，对盆地侏罗系隐蔽型圈闭和油气藏的勘探提供了一种思想和方法。     

Lyapunov‐stable discrete‐time model reference adaptive control

Discrete‐time model reference adaptive control (MRAC) is considered with both least squares and projection algorithm parameter identification. For both cases complete Lyapunov proofs are given for stability and convergence. The results extend the approach of Johansson (Int. J. Control 1989; 50 (3):859–869) to include Lyapunov stability for MRAC when the normalized projection algorithm is used for parameter identification. Copyright © 2005 John Wiley & Sons, Ltd.     

A hybrid PC/PLC architecture for manufacturing-system control—theory and implementation

This paper presents a novel and generic PC/PLC-based software/hardware architecture for the control of flexible manufacturing workcells. The proposed implementation methodology is based on the utilization of any one of the available formal discrete-event-system control theories in conjunction with state-of-the-art industrial programmable-logic controllers (PLCs). The methodology has been illustrated to be a viable technique through its actual implementation in our laboratory using a robotic-workcell testbed. The specific control theory used is a combination of Extended Moore Automata and Ramadge-Wonham Automata that has been developed by our research group. The modular control software architecture has been developed for MS-Windows environments (running on one PC interfaced to the PLCs) and allows the use of different formal control theories as well as different commercial PLC hardware. The effective graphical user interface provides a transparent programming environment, where users are not expected to have a full knowledge of the formal control theory used.