A neural model for eye–head–arm coordination

The coordinated movement of the eyes, the head and the arm is an important ability in both animals and humanoid robots. To achieve this, the brain and the robot control system need to be able to perform complex non-linear sensory-motor transformations in the forward and inverse directions between many degrees of freedom. In this article, we apply an omnidirectional basis function neural network to this task. The proposed network can perform 3-D coordinated gaze shifts and 3-D arm reaching movements to a visual target. Particularly, it can perform direct sensory-motor transformations to shift gaze and to execute arm reach movements and can also perform inverse sensory-motor transformations in order to shift gaze to view the hand.     

Using active learning to adapt remote sensing image classifiers

The validity of training samples collected in field campaigns is crucial for the success of land use classification models. However, such samples often suffer from a sample selection bias and do not represent the variability of spectra that can be encountered in the entire image. Therefore, to maximize classification performance, one must perform adaptation of the first model to the new data distribution. In this paper, we propose to perform adaptation by sampling new training examples in unknown areas of the image. Our goal is to select these pixels in an intelligent fashion that minimizes their number and maximizes their information content. Two strategies based on uncertainty and clustering of the data space are considered to perform active selection. Experiments on urban and agricultural images show the great potential of the proposed strategy to perform model adaptation.     

虚拟时钟调度算法研究

FIFO队列调度算法由于实现简单、执行效率高而在网络中得到大量的应用，但FIFO队列无法实现对资源的分配；男种调度算法公平队列调度则可以实现对带宽资源的公平分配，但是它存在可扩展性问题。而基于虚拟时钟的算法在实现对资源进行公平分配的同时具备良好的可扩展性，从而能够满足QoS控制中对于分组调度算法的需求。本文主要对一些基于虚拟时钟的度算法进行了分析和讨论，这也是进行QoS控制研究的基础。     

Fast algorithms for online generation of profile association rules

The results discussed in this paper are relevant to a large database consisting of consumer profile information together with behavioral (transaction) patterns. We introduce the concept of profile association rules, which discusses the problem of relating consumer buying behavior to profile information. The problem of online mining of profile association rules in this large database is discussed. We show how to use multidimensional indexing structures in order to actually perform the mining. The use of multidimensional indexing structures to perform profile mining provides considerable advantages in terms of the ability to perform very generic range-based online queries.     

数据驱动的业务执行过程中人员行为差异性研究

为了研究业务执行过程中人员个体差异性和人员之间协作差异性,利用几个事件日志中记录的实际数据进行统计分析,了解了业务执行过程中人员的一些行为特征。分析结果表明：人员个体在业务过程中执行任务的种类,不同人员执行相同任务时的效率,人员在一个业务过程中的负荷,人员执行任务的偏好性,人员之间协作偏好性和人员之间协作效率存在差异性。掌握人员行为差异性能为业务执行过程中人员的合理配置提供了理论依据和数据支持。     

Interactive sound rendering in complex and dynamic scenes using frustum tracing

We present a new approach for simulating real-time sound propagation in complex, virtual scenes with dynamic sources and objects. Our approach combines the efficiency of interactive ray tracing with the accuracy of tracing a volumetric representation. We use a four-sided convex frustum and perform clipping and intersection tests using ray packet tracing. A simple and efficient formulation is used to compute secondary frusta and perform hierarchical traversal. We demonstrate the performance of our algorithm in an interactive system for complex environments and architectural models with tens or hundreds of thousands of triangles. Our algorithm can perform real-time simulation and rendering on a high-end PC.     

基于Cluster态的可验证多方量子密钥协商方案

基于四量子比特Cluster态,提出一种可验证多方量子密钥协商方案.方案允许每次由两个参与者利用自己的子密钥分别在每个四量子比特Cluster态的两个粒子上执行X运算,并对转换后的Cluster态执行延迟测量,这保证了每个参与者对协商密钥的贡献相等.提出的方案使用相互无偏基粒子作为诱饵粒子,并且利用对称二元多项式的一对函数值对这些诱饵粒子执行酉运算,不仅可以进行窃听检验,而且还能进行参与者之间的身份验证.本方案适用于任意大于2的参与者人数.安全性分析表明,提出的方案能够抵抗外部攻击及参与者攻击.与现有的多方密钥协商方案相比,该方案不仅在诱饵粒子的使用上有优势,同时具有较高的量子比特效率.     

Interactive Navigation of Heterogeneous Agents Using Adaptive Roadmaps

We present a novel algorithm for collision-free navigation of a large number of independent agents in complex and dynamic environments. We introduce adaptive roadmaps to perform global path planning for each agent simultaneously. Our algorithm takes into account dynamic obstacles and interagents interaction forces to continuously update the roadmap based on a physically-based dynamics simulator. In order to efficiently update the links, we perform adaptive particle-based sampling along the links. We also introduce the notion of 'link bands' to resolve collisions among multiple agents. In practice, our algorithm can perform real-time navigation of hundreds and thousands of human agents in indoor and outdoor scenes.     

The use of technology as one of the possible means of performing instructor tasks: Putting technology acceptance in context

For many instructors in higher education, use of a learning management system (LMS) is de facto mandatory. Nevertheless, instructors often have much freedom in deciding which functionalities of the LMS they use; that is, whether they perform each individual instructor task using the LMS. Alternatively, they may perform one specific instructor task using alternative means, or, quite often, not perform it at all. The current Technology Acceptance model (TAM) fails to describe this decision process accurately, as TAM (1) does not focus on the level of the individual task; (2) does not make a distinction between not performing a task and performing a task using alternative means; and (3) does not recognize one important factor that affects the performance of a specific task—task importance. A test of three different models shows that the decision process is best represented as a two-step process. First, influenced by task importance, a choice is made to either perform a specific task or not. Second, after the decision has been made to perform the task, and influenced by the usefulness and ease of use of the LMS, a choice is made between performing the task using the LMS and using alternative means.     

The use of technology as one of the possible means of performing instructor tasks: Putting technology acceptance in context

For many instructors in higher education, use of a learning management system (LMS) is de facto mandatory. Nevertheless, instructors often have much freedom in deciding which functionalities of the LMS they use; that is, whether they perform each individual instructor task using the LMS. Alternatively, they may perform one specific instructor task using alternative means, or, quite often, not perform it at all. The current Technology Acceptance model (TAM) fails to describe this decision process accurately, as TAM (1) does not focus on the level of the individual task; (2) does not make a distinction between not performing a task and performing a task using alternative means; and (3) does not recognize one important factor that affects the performance of a specific task—task importance. A test of three different models shows that the decision process is best represented as a two-step process. First, influenced by task importance, a choice is made to either perform a specific task or not. Second, after the decision has been made to perform the task, and influenced by the usefulness and ease of use of the LMS, a choice is made between performing the task using the LMS and using alternative means.     

Register allocation in a pattern matching code generator

Register allocation in a pattern-matching code generator is discussed, and a strategy for the allocation of registers is presented. The strategy is suitable for code generators that perform no data-flow analysis, but do perform common subexpression analysis. An implementation of the strategy has produced high quality code.     

Fred Moses Sr. Programmer

The minicomputer's power to perform repetitive clerical tasks, monitor and control real-time processes, and perform scientific calculations has made it desirable in hospital systems. The minicomputer's inherent low cost has made it practical. Computer suppliers to the medical field are recognizing that they must collaborate with medical professionals to pinpoint well delimited problem areas.     

Visualizing the application of filters: A comparison of blocking,blurring, and colour-coding whiteboard information

Through a mixed-design experiment we compare how emergency-department clinicians perform when solving realistic work tasks with an electronic whiteboard where the application of information filters is visualized either by blocking, colour-coding or blurring information. We find that clinicians perform significantly faster and with less effort and temporal demand when using the blocking interface. However, we also find that the colour-coding interface provides clinicians with a better overview of the information displayed by the electronic whiteboard. The blurring interface did not perform as well as previous research has shown and we discuss the differences between these results and ours. Finally, we find that the clinicians worked much less in parallel than we had expected and discuss the reasons for this.     

TARGET expert systems for analysis and trouble resolution of remote telecommunications equipment

Current trends in technology and operational procedures related to telecommunications equipment present opportunities in which expert systems can play an important role in meeting the needs and objectives of telephone operating companies. The TARGET (Truoble Analysis and Resolution Guided by Expert Techniques) Expert Systems are a set of expert systems that extend the span of knowledge of telephone company personnel in the areas of telecommunication equipment troubleshooting and maintenance. The expert systems upgrade troubleshooting and maintenance performance and allow personnel to perform troubleshooting and maintenance tasks that they otherwise would not have the expertise to perform or to perform well. The initial systems will provide expert knowledfe for troubleshooting remotely sited equipment.     

一套二进制向量-矩阵乘法运算的光计算系统

对计算机前沿领域的光计算进行了讨论研究,介绍了光计算的核心运算器——光学向量-矩阵乘法器的工作原理,从实验角度出发,设计出了一套性能稳定的可实现二进制向量-矩阵乘法运算的光计算系统,并分析了此套系统的光学原理和性能特点。此系统具有矩阵乘法运算、数码显示、电压输出等功能,是一套实用性很强的教学科研演示产品,对光学乘法器以及光计算的研究具有一定的指导意义。     

基于INTERNET的企业数据库同步设计方案

文章基于对企业数据库系统数据复制和数据同步的分析,对数据库的数据同步的概念、结构及设计方法进行了阐述,提出了一种全新的适合中国企业模式的数据库数据复制和数据同步的解决方案,并结合实际的实施案例对数据同步这一重要概念进行了初步的探讨。     

网格环境下多副本带状数据传输的实现

介绍了网格环境下数据可靠高速传输的一种实现方法，它能同时使用多种数据传输协议从多个数据服务器进行带状传输。另外，还通过数学模型分析了影响传输性能的因素，并讨论了提高传输性能的几种负载平衡策略。     

Mixing matrix estimation using discriminative clustering for blind source separation

Mixing matrix estimation in instantaneous blind source separation (BSS) can be performed by exploiting the sparsity and disjoint orthogonality of source signals. As a result, approaches for estimating the unknown mixing process typically employ clustering algorithms on the mixtures in a parametric domain, where the signals can be sparsely represented. In this paper, we propose two algorithms to perform discriminative clustering of the mixture signals for estimating the mixing matrix. For the case of overdetermined BSS, we develop an algorithm to perform linear discriminant analysis based on similarity measures and combine it with K-hyperline clustering. Furthermore, we propose to perform discriminative clustering in a high-dimensional feature space obtained by an implicit mapping, using the kernel trick, for the case of underdetermined source separation. Using simulations on synthetic data, we demonstrate the improvements in mixing matrix estimation performance obtained using the proposed algorithms in comparison to other clustering methods. Finally we perform mixing matrix estimation from speech mixtures, by clustering single source points in the time-frequency domain, and show that the proposed algorithms achieve higher signal to interference ratio when compared to other baseline algorithms.     

模拟雾景图像的算法研究和应用

户外成像图像处理系统容易受到天气变化的影响，为测试图像处理算法对天气变化的敏感程度，人们提出多种虚拟现实算法生成各种气候条件下图像，本文提出了一种可行的户外雾景图像生成算法，能调控雾的浓度，摸拟现实场景中雾的复杂多变的形态对图像造成的影响。     

集成温度传感器的有源电子标签设计

针对矿井下环境温度在线检测的要求,设计了一种集成了有源RFID射频识别芯片与温度传感器的在线温度检测装置,简要论述了该有源电子标签的硬件结构和软件设计.该装置能够定时采集并无线传输井下工作面的温度值.测试结果表明,该装置携带方便、工作稳定可靠.