一种相容决策表的属性值与属性约简方法

针对相容决策表,另辟一种数据约简思路,与传统数据约简方法不同的是,本文方法考虑属性值约简与属性约简之间的关联,该方法首先进行属性值约简,然后再进行属性约简,本文并给予了充分的证明,而普通的方法并没有考虑它们之间的联系,并有许多冗余的比较操作。     

“三位一体”数字校园的设计与实现

介绍了集＂日常管理＂、＂水平评估＂、＂决策规划＂三位于一体的数字校园设计方案。通过规范基础数据,采用ESB整合各业务子系统,解决＂信息孤岛＂问题,并为状态数据采集提供便利。利用BI软件进行数据挖据,为管理者进行科学规划和决策提供数据支持。系统采用单点登录,个性化的门户展现满足了各类用户对资源和服务的需求。     

江淮沟通段切岭段复合高边坡稳定问题及加固措施

江淮沟通段是引江济淮工程的关键段落,该渠段地形和水文地质复杂,渠段上部边坡主要是膨胀土,下部则是遇水崩解的软岩,不利于边坡稳定。以江淮沟通段切岭段最深断面45+358为研究对象,详尽剖析了该断面的工程和水文地质条件及其存在的主要工程地质问题,然后针对复合高边坡稳定问题提出了系统的解决方案。     

SSL协议应用中安全技术问题探究

随着信息化浪潮的发展,SSL协议的应用非常普遍,但是在SSL协议应用的工程实践中也发现了一些应用模式所导致的问题,文章首先介绍了SSL协议的安全技术应用,重点分析了其中安全技术问题的表现,并通过国产密码算法与SSL协议之间应用兼容性的问题分析,提出了一些SSL协议应用模式的建议。     

自洁式超声波在线过滤器的研制

我国地表水浊度高,极大地影响基于光度法的在线分析仪器正常运行;以自主创新的在线采水过滤头为核心,提出一种新型的自洁式超声波在线过滤器,由超声波电源、采水和反冲洗模块、嵌入式控制模块等组成,具备定时定速过滤采水、超声波反冲清洗等功能;实验结果表明,过滤器能够连续地自动滤除水中的悬浮物质,并且不影响目标物的化学形态,对同一水样的浊度去除率维持在85%左右。     

A Taxonomy of Representation Strategies in Iconic Communication

Predicting whether the intended audience will be able to recognize the meaning of an icon or pictograph is not an easy task. Many icon recognition studies have been conducted in the past. However, their findings cannot be generalized to other icons that were not included in the study, which, we argue, is their main limitation. In this paper, we propose a comprehensive taxonomy of icons that is intended to enable the generalization of the findings of recognition studies. To accomplish this, we analyzed a sample of more than eight hundred icons according to three axes: lexical category, semantic category, and representation strategy. Three basic representation strategies were identified: visual similarity; semantic association; and arbitrary convention. These representation strategies are in agreement with the strategies identified in previous taxonomies. However, a greater number of subcategories of these strategies were identified. Our results also indicate that the lexical and semantic attributes of a concept influence the choice of representation strategy.     

Short-term load forecasting using bayesian neural networks learned by Hybrid Monte Carlo algorithm

This paper presents a short term load forecasting model based on Bayesian neural network (shorted as BNN) learned by the Hybrid Monte Carlo (shorted as HMC) algorithm. The weight vector parameter of the Bayesian neural network is a multi-dimensional random variable. In learning process, the Bayesian neural network is considered as a special Hamiltonian dynamical system, and the weights vector as the system position variable. The HMC algorithm is used to learn the weight vector parameter with respect to Normal prior distribution and Cauchy prior distribution, respectively. The Bayesian neural networks learned by Laplace algorithm and HMC algorithm and the artificial neural network (ANN) learned by the BP algorithm were used to forecast the hourly load of 25 days of April (Spring), August (Summer), October (Autumn) and January (Winter), respectively. The roots mean squared error (RMSE) and the mean absolute percent errors (MAPE) were used to measured the forecasting performance. The experimental result shows that the BNNs learned by HMC algorithm have far better performance than the BNN learned by Laplace algorithm and the neural network learned BP algorithm and the BNN learned by HMC has powerful generalizing capability, it can welly solve the overfitting problem.     

Development of human-machine interface for teleoperation of a mobile manipulator

Human-robot control interfaces have received increased attention during the past decades for conveniently introducing robot into human daily life. In this paper, a novel Human-machine Interface (HMI) is developed, which contains two components. One is based on the surface electromyography (sEMG) signal, which is from the human upper limb, and the other is based on the Microsoft Kinect sensor. The proposed interface allows the user to control in real time a mobile humanoid robot arm in 3-D space, through upper limb motion estimation by sEMG recordings and Microsoft Kinect sensor. The effectiveness of the method is verified by experiments, including random arm motions in the 3-D space with variable hand speed profiles.     

FD—140型高灵敏测氡仪及其应用

FD—140型高灵敏测氡仪用于测量氡的浓度,测氡灵敏度可达15mBq/m~3 min。该仪器可用于普查与勘探铀矿床,也可用于找石油、煤、金、地下水和地震预报以及地质构造调查等方面。     

项目管理在IT企业中的推广与应用

现阶段传统的管理模式还是一些中小型IT企业的主要管理方式。这种方式导致很多中小型IT企业发展的新旧项目成功率都很小。所以,在当前情况下,要大大加强项目管理的涉及度,使之进入中小IT企业。从而,提高中小企业的核心竞争力。那么什么IT企业,何为项目管理,项目管理在IT企业中的推广应用,以及二者之间的相互关系就是我们研究的重要课题。