Design of a performance-oriented workplace e-learning system using ontology

E-learning is emerging as a popular learning approach utilized by many organizations. Despite the ever increasing practices of e-learning in the workplace, most e-learning applications fail to meet learners’ needs or serve organization’s quests for success. Significant gaps exist between organizational interests and individual needs when they come to e-learning, which make e-learning applications less goal-effective. To solve this problem, a performance-oriented approach is presented in this study. Key performance indicators (KPIs) are set up to clarify organizational training needs, and help learners establish rational learning objectives. In addition, ontology is used for constructing formal and machine-understandable conceptualization of the performance-oriented learning environment. Using this approach, a KPI-oriented learning ontology and prototype system have been developed and evaluated to demonstrate the effectiveness of the approach.     

Fire detection model in Tibet based on grey-fuzzy neural network algorithm

The fire signals are much weaker in low oxygen concentration and low pressure environment such as Tibet. Fire detectors which were calibrated in correlating standard conditions cannot work well in such condition. This paper presents a synthesis method of GM(1, 1) grey prediction model and adaptive neuro-fuzzy inference system (ANFIS) in advance to detect fire and to make it work in the environment. The theoretical analysis of the algorithm and experimental evaluation in Tibet are presented. In this process, the grey GM(1, 1) predict model can anticipate the development of fire signals without any assumption, thus allowing earlier fire alarm than traditional fire detection equipments, meanwhile, ANFIS can make sure the data processing more accurate to avoid false alarms. This work will supply useful suggestions with the fire detectors design in low ambient pressure and low oxygen concentration such as Tibet, etc.     

基于特征索引的图相似查询过滤算法

分析图相似查询候选集的产生过程以及特征图之间的关系对候选图集的影响,提出一种基于特征索引的图相似查询过滤算法,使用GIndex算法建立特征图索引结构,通过特征图之间的选择性关系给出一个有序的特征集,并借助特征-图矩阵对数据库进行筛选得到候选图集。实验结果证明,该方法能准确地产生候选图集,从而提高图查询的效率。     

一种基于人工神经网络的快速超分辨率方法

图像的超分辨率是指利用一幅或者多幅的低分辨率图像,通过相应的算法来获得一幅对应的清晰的高分辨率图像.针对现有的基于学习的超分辨率方法低效率的问题,提出一种基于人工神经网络的快速超分辨率方法,该方法试图利用人工神经网络学习到高分辨率图像和低分辨率图像之间的函数关系,其理论基础来自于人工神经网络能够很好地求解流形学习中高维流形和低维流形之间的映射关系.     

基于抽象特征检测变形恶意代码

传统的恶意代码检测方法通常以固定的指令或字节序列这些具体特征作为检测依据,因此难以检测变形恶意代码.使用抽象特征是解决该问题的一个思路.本文针对恶意代码常用的变形技术,即等价指令替换、垃圾代码插入以及指令乱序进行研究.定义了一种抽象特征,同时提出了依据该抽象特征检测变形恶意代码的方法.最后,以典型变形病毒Win32.Evol为对象进行了实验,将该方法与其它方法进行了对比.实验结果验证了该方法的有效性.     

Fabrication of circular microfluidic channels through grayscale dual-projection lithography

Circular microfluidic channels are in great demand since they are more realistic in mimicking physiological flow systems, generating axis-symmetrical flow, and achieving uniform shear stress. A typical microchannel with rectangular cross section can induce non-physiological gradients of shear rate, pressure, and velocity. This paper presents a novel method of fabricating microfluidic channels with circular and elliptical cross sections through grayscale dual-projection lithography. Our method utilizes two projecting systems to expose grayscale image face-to-face and simultaneously polymerize the photocurable material. The cross-sectional profiles of the fabricated microchannels are consistent with mathematical predictions and, therefore, demonstrate the capability of controlling the channel shapes precisely. Customized circular microchannels can be generated with complex features such as junctions, bifurcations, hierarchies, and gradually changed diameters. This method is capable of fabricating circular channels with a wide range of diameters (39 μm–2 mm) as well as elliptical channels with a major-to-minor axis ratio up to 600%. Microfluidic devices with circular cross sections suitable for particle analysis were made as a demonstrative application in nanoparticle binding and distribution within a mimetic blood vessel. A ready-to-use microfluidic device with customized circular channels can be fabricated within 1 h without the need of clean room or expensive photolithography devices.     

基于USB的卫星通用化地面测试软件的设计

针对当前卫星地面测试设备研制任务剧增、研制需求周期短、密度大、技术更新快的问题,将软件工程中的组件技术引入卫星测试软件领域,提出利用测试功能组件构建通用化测试软件的设计思路;首先,对现有卫星型号的地面测试任务做共性研究;然后,分析研究现有卫星数传分系统和测控分系统单机地面测试涵盖的所有测试功能,描述通用化测试软件的研制需求;以通用化和模块化的设计思路进行软件概要设计;通过分析软件组成、设计流程图、搭建软件界面等步骤进行软件详细设计;最后,软件实现;提出的基于USB接口的卫星通用化地面测试软件,通过某型号功放级地面测试和某型号Ka应答机地面测试,经验证,通用性强,覆盖功能全面,能较好地满足多个分系统单机设备的测试要求。     

基于安卓平台的电力作业信息系统的设计

文章实现了电力作业信息系统的设计,包括电力作业软件的设计以及Webservice服务器的组成结构。文章着重描述了电力作业手机软件GUI的设计、电子地图开发、数据库的设计方法;详细介绍了服务器端WebService的搭建及服务发布流程、服务器接口的设计。系统服务器采用Linux、Oracle数据库及Axis2＋Tomcat搭建WebService平台,采用第三方类库提供轻量级SOAP客户端的Ksoap2实现服务器与Android客户端数据的交互。本系统已经在义乌电力局进行试用,系统性能稳定、兼容性好、具有良好的可扩展性和广泛的应用价值。     

基于MSC Nastran的优化技术

减轻结构质量对现代飞机具有极其重要的意义,进行结构优化设计可以更加合理地确定材料分布,提高材料的利用率,从而满足这一目标要求.目前,结构优化技术已广泛应用于飞机结构设计中,通过确定优化设计变量、优化区域以及响应约束,采用MSC Nastran对机翼进行优化设计,在满足强度刚度设计要求的前提下,实现结构质量最轻的设计目标.