浅析高职院校智能排课系统的设计

高校教学管理信息化是高校教育信息管理现代化的基础及关键,而其中排课工作是教学管理信息化过程中的一项重要且繁杂的基础性工作,其实质是具体的落实教学活动。本文介绍了高职院校教学管理系统的排课功能模块设计,重点论述了智能排课子系统的分析和设计,目的是为了开发出一套适合高职院校实际情况的网络教学管理系统。     

基于K-距离拓扑的分布式数据存储方法

针对分布式数据存储算法通常需要较长的等待时间、且对海量数据加密时严重浪费计算资源和时间的问题,提出了一种基于K-距离拓扑的分布式数据存储方法.通过寻找K-距离拓扑子图来实现数据的安全放置,优先选择存取速度更快的节点和自身保护能力强的节点实现总体性能的提升.在Internet 2拓扑图与随机拓扑图下的仿真测试结果表明,所提出的方法能在满足安全距离约束的条件下选择到最优的数据存储节点,从而减小数据存取时间.     

基于IGHS的防空火力资源优化分配模型

现代编队防空作战中,不同武器平台携带防空资源更具多样化,如何有效统筹分配现有作战资源,使得编队级防空作战的总体效益最大化成为致胜关键。为此,该文将各作战平台的所有作战资源建模为一个统一资源池,面向多个目标同时拦截作战情景,提出了一种编队级防空火力资源优化分配模型,平衡了毁伤概率与资源消耗的关系;同时提出了一种改进全局最优和声搜索算法,并运用到该模型上,实现了模型的高效求解。最后,通过在简单数据规模和复杂数据规模两种情况下的仿真对比实验分析,验证了该文方法的有效性。     

基于信用投票共识的主从多链分层跨链模型

该文提出了一种适用于联盟链的基于信用投票机制的共识算法(PoVT)。该算法通过引入投票机制来决定记账权的归属,避免了节点之间的算力竞争,使系统中的节点能够公平地获得记账权;通过给节点赋予信用值,减小权益对系统的影响,同时对节点的行为进行量化评价能够更好地约束节点的行为,使其对恶意行为产生顾虑;此外,在PoVT的基础上提出了一个主从多链的分层跨链模型,对其性能进行了实验分析,结果表明系统的效率有了提高,且对双花攻击、自私挖矿、权益粉碎等攻击手段都有一定的防御能力。     

深度学习的人体图像半自动标注系统

针对目前数据标注过于依赖硬件、手动数据标注效率低下的问题,提出了基于深度学习的人体图像半自动标注系统.系统通过对算法进行改进,增加人体关键点个数进行特征提取和加入运动信息的约束,提高了视频分阶段标注的准确率.使用真实数据集仿真实验证明了通过深度学习算法进行数据标注的可行性,并且使用半自动标注的速度快、准确率高.     

快速的层次树集合分划编码算法*

设计了一个改进算法,它仅需对小波分解矩阵进行一遍扫描即可确定层次树集合分划编码(SPIHT)算法所需的所有D(i,j)和L(i,j)重要性并完成对所有(i,j)子系数的编码,使得按照SPIHT的排序方法编码时只需查找存放D(i,j)和L(i,j)的重要性及(i,j)子系数的编码表,从而大大提高了SPIHT的编码速度.     

一个面向电子政务的信息交换与共享平台的设计与实现*

基于J2EE、XML等技术,设计并实现了一个面向电子政务的信息交换与共享平台.对平台的总体结构、元数据定义与管理、数据交换模式等关键问题进行了论述,最后给出了平台的模块实现.该平台已经应用于北京市信息资源管理中心,实现了遥感信息、区县图层、企业基础信息等资源的交换与共享.     

Testing scientific software: A systematic literature review

ContextScientific software plays an important role in critical decision making, for example making weather predictions based on climate models, and computation of evidence for research publications. Recently, scientists have had to retract publications due to errors caused by software faults. Systematic testing can identify such faults in code.ObjectiveThis study aims to identify specific challenges, proposed solutions, and unsolved problems faced when testing scientific software.MethodWe conducted a systematic literature survey to identify and analyze relevant literature. We identified 62 studies that provided relevant information about testing scientific software.ResultsWe found that challenges faced when testing scientific software fall into two main categories: (1) testing challenges that occur due to characteristics of scientific software such as oracle problems and (2) testing challenges that occur due to cultural differences between scientists and the software engineering community such as viewing the code and the model that it implements as inseparable entities. In addition, we identified methods to potentially overcome these challenges and their limitations. Finally we describe unsolved challenges and how software engineering researchers and practitioners can help to overcome them.ConclusionsScientific software presents special challenges for testing. Specifically, cultural differences between scientist developers and software engineers, along with the characteristics of the scientific software make testing more difficult. Existing techniques such as code clone detection can help to improve the testing process. Software engineers should consider special challenges posed by scientific software such as oracle problems when developing testing techniques.     

Global software testing under deadline pressure: Vendor-side experiences

ContextIn the era of globally-distributed software engineering, the practice of global software testing (GST) has witnessed increasing adoption. Although there have been ethnographic studies of the development aspects of global software engineering, there have been fewer studies of GST, which, to succeed, can require dealing with unique challenges.ObjectiveTo address this limitation of existing studies, we conducted, and in this paper, report the findings of, a study of a vendor organization involved in one kind of GST practice: outsourced, offshored software testing.MethodWe conducted an ethnographically-informed study of three vendor-side testing teams over a period of 2 months. We used methods, such as interviews and participant observations, to collect the data and the thematic-analysis approach to analyze the data.FindingsOur findings describe how the participant test engineers perceive software testing and deadline pressures, the challenges that they encounter, and the strategies that they use for coping with the challenges. The findings reveal several interesting insights. First, motivation and appreciation play an important role for our participants in ensuring that high-quality testing is performed. Second, intermediate onshore teams increase the degree of pressure experienced by the participant test engineers. Third, vendor team participants perceive productivity differently from their client teams, which results in unproductive-productivity experiences. Lastly, participants encounter quality-dilemma situations for various reasons.ConclusionThe study findings suggest the need for (1) appreciating test engineers’ efforts, (2) investigating the team structure’s influence on pressure and the GST practice, (3) understanding culture’s influence on other aspects of GST, and (4) identifying and addressing quality-dilemma situations.