基于OPC数据访问标准客户端软件的开发

研究了OPC的基本结构和数据访问标准，重点分析了自动化接口的对象模型。使用Visual Basic编写了一个通用的OPC客户程序，采用了不同的数据访问方法，可以与众多OPC数据存取服务器进行数据交换。     

Offline reinforcement learning with task hierarchies

In this work, we build upon the observation that offline reinforcement learning (RL) is synergistic with task hierarchies that decompose large Markov decision processes (MDPs). Task hierarchies can allow more efficient sample collection from large MDPs, while offline algorithms can learn better policies than the so-called “recursively optimal” or even hierarchically optimal policies learned by standard hierarchical RL algorithms. To enable this synergy, we study sample collection strategies for offline RL that are consistent with a provided task hierarchy while still providing good exploration of the state-action space. We show that naïve extensions of uniform random sampling do not work well in this case and design a strategy that has provably good convergence properties. We also augment the initial set of samples using additional information from the task hierarchy, such as state abstraction. We use the augmented set of samples to learn a policy offline. Given a capable offline RL algorithm, this policy is then guaranteed to have a value greater than or equal to the value of the hierarchically optimal policy. We evaluate our approach on several domains and show that samples generated using a task hierarchy with a suitable strategy allow significantly more sample-efficient convergence than standard offline RL. Further, our approach also shows more sample-efficient convergence to policies with value greater than or equal to hierarchically optimal policies found through an online hierarchical RL approach.     

Application of Visual Basic for Automation of LC-MS Analysis

An approach to customizing the data acquisition and interpretation process of liquid chromatography electrospray mass spectrometry (LC-MS) analysis of compound libraries is presented. Macro programs, using Microsoft Visual Basic, were applied to allow the seamless flow of data from the sample synthesis stage through data acquisition/interpretation and reporting, with minimum user interaction. Logical functions were also incorporated into the macros to allow automated actions to be performed based on experimental results. The application of this approach as a universal method for supplementing the automation process of other instruments controlled by the Microsoft Windows PC platform is also discussed.     

Visual spatio-temporal function-based querying

Visual interfaces are very important for human interactions in cyberworlds. Visual spatio-temporal querying should be one of the basic tools for data mining and retrieval in cyberworlds. In this paper, we propose a novel function-based query model for arbitrary shape spatio-temporal querying. The queries are defined as geometric shapes changing over time. In our model, data are interpreted geometrically as multidimensional points with time dimension or as moving points. The queries are formulated with geometric objects and operations over them to form the query solid changing over time. The proposed query model allows us to pose arbitrary shape spatio-temporal range queries. With the uniform geometric model we integrate visual mining and querying of time-dependent data employing 3D visualization tools. It allows for creating an intuitive visual interface using 2D projections of 3D query shapes. Our approach combines visualization of spatio-temporal data with visualization of the range query formulation employing very compact function-based query model. The implemented visual query system and its visual interface are proposed and described. An example of application of the system in analysis of simulation results in molecular dynamics is considered.     

Visual Analytics for model-based medical image segmentation: Opportunities and challenges

Segmentation of medical images is a prerequisite in clinical practice. Many segmentation algorithms use statistical shape models. Due to the lack of tools providing prior information on the data, standard models are frequently used. However, they do not necessarily describe the data in an optimal way. Model-based segmentation can be supported by Visual Analytics tools, which give the user a deeper insight into the correspondence between data and model result. Combining both approaches, better models for segmentation of organs in medical images are created.In this work, we identify the main tasks and problems in model-based image segmentation. As a proof of concept, we show that already small visual-interactive extensions can be very beneficial. Based on these results, we present research challenges for Visual Analytics in this area.     

VB语言在多参数数据采集中的应用

ＶＩＳＵＡＬ ＢＡＳＩＣ（简称ＶＢ语言）是近年发展起来的一门高级编程语言,与其它高级语言相比,且有编程效率高,功能强,方便快捷,便于阅读,直观和界面友好等特点。特别适用于虚拟仪器及智能化测量控制仪器的编程,本文主要论述了ＶＢ语言的特点及其在参数数据采集和处理中的应用。     

Windows标准控件在Visual C＋＋编程中的使用研究

Windows标准控件是Windows系统预定义的一些行为标准化了的窗口,一般用于Win-dows窗口应用程序中充当与用户交互的元素,其使用方法是Visual C＋＋程序员应该熟练掌握的。介绍Visual C＋＋编程中常用的Windows预定义标准控件,重点介绍了这些控件编程的一般方法,并给出控件编程的实例。     

VB调用VC创建的Win32 DLL函数

探讨了Visual C＋＋创建Win32 DLL,Visual Basic对其函数实施调用过程中，命名修饰，调用约定、命名约定的匹配，数据类型对应以及参数传递一致性等问题，并给出了具体的应用实例。     

基于关系代数的XML数据查询

XML渐已成为Web上数据表示和交换的通用语言。为了有效地利用大量的XML文档，需要研究XML数据查询技术。提出了基于关系代数的XML数据查询方法。XML子句可以用关系代数表达式表示，并通过关系代数操作得到查询结果。该方法为查询XML数据提供了一种简洁和有效的手段。     

Optimal path planning of mobile robots for sample collection

In this paper, the problem of path planning for sample collection using single or multiple mobile robots such as Mars rovers is formulated as a mathematical optimization problem involving a performance metric based on the scientific values of the collected rock and soil samples. The posed optimization problem is NP‐hard and more complex than the well‐known Traveling Salesman Problem. Algorithms are proposed for obtaining near‐optimal solutions for both single and multiple robots. Their application is illustrated using real Mars surface data. The dependence of the optimal performance on the number of mobile robots is studied numerically. © 2004 Wiley Periodicals, Inc.