基于Packet Tracer的“信息安全”教学实例

针对"信息安全"课程教学过程中内容枯燥、演示实验搭建复杂、演示效果不佳的状况,在分析现有实验演示工具的基础上,提出基于Packet Tracer进行信息安全实验演示,并给出了数个实例,经实际教学反馈,收到良好的教学效果。     

加强高校实验教学示范中心建设的思考

实验教学示范中心是推动我国高等教育从数量扩展到质量转变的重要基石,也是培养高校学生创新实践能力的重要阵地。本文通过对实验教学示范中心建设存在问题的分析,认为应该从教育理念、体制机制、实验队伍、内涵建设、形成特色和绩效评价等六个方面入手,来进行顶层设计,以此解决实验教学示范中心建设中存在的种种问题,推动实验教学示范中心可持续发展。     

武器装备联合论证基本问题研究

联合论证是未来武器装备论证的发展方向,是优化装备论证资源、强化装备论证优势、推动装备科学发展的有效途径。以武器装备的多样化使命任务为牵引,分析了武器装备联合论证的现实需求,提出了武器装备联合论证的基本概念、协同方式和主要特征,并从顶层规划、规章制度和支撑环境3个方面探讨了武器装备联合论证的实现途径。     

大学计算机基础课程实战化案例教学研究与实践

针对当前军校大学计算机基础课程立足于以建设信息化军队,打赢信息化战争的根本方针,结合自身的教学经验,注重在教学实施上以实战化案例教学为原则,形成问题前导、主题研讨、案例辨析、推演论证四位一体的案例化教学方法。列出了大学计算机基础课程中的所有知识模块及教学目标,并详细分析几个关键模块的教学步骤,为军校大学计算机基础课程教学提供一些方法和思路。     

面向创新能力培养的数电混合教学实践

随着FPGA技术的飞速发展,传统的“数字电子技术”教学如何在基础理论和实践能力培养之间找到新的平衡点成为课程教学的关键。结合“数字电子技术”课程特点,通过在教学设计中精心组织教学内容、设计配套演示教具、增强实验教学针对性、课后作业量少次多突出过程评价以及四位一体系统推进,有效提高了教学效果。     

矿井煤仓三维计算机辅助设计

针对传统的矿井煤仓二维设计存在绘图复杂、抽象、易出错等问题,提出了一种矿井煤仓三维计算机辅助设计的方案;以恒源煤矿的-600煤仓和主井缓冲煤仓为例,详细介绍了煤仓三维计算机辅助设计及其动画演示的具体实现。该方案解决了复杂工程施工中设计者与施工人员的交流问题,为高质量、快速施工提供了基础保障。     

广西壮族干栏建筑对现代展示空间设计的应用探究

壮族干栏建筑是一种具有鲜明地方民族特色的民居类型,壮族干栏建筑以其独特的空间规划和结构独树一帜,现代的许多设计案例从中深受其启发,展示设计也不例外。空间规划是展示设计中的重要要素之一,壮族干栏建筑的空间结构形式对于展示空间规划很有启发作用。本文从壮族干栏建筑中的空间规划和结构特点分析,结合现代展示设计对空间的处理中强调空间层次的体验感,进行探讨干栏建筑对展示设计空间规划的可行性启示。     

Learning from demonstration in robots: Experimental comparison of neural architectures

Robots have played an important role in the automation of computer aided manufacturing. The classical robot control implementation involves an expensive key step of model-based programming. An intuitive way to reduce this expensive exercise is to replace programming with machine learning of robot actions from demonstration where a (learner) robot learns an action by observing a demonstrator robot performing the same. To achieve this learning from demonstration (LFD) different machine learning techniques such as Artificial Neural Networks (ANN), Genetic Algorithms, Hidden Markov Models, Support Vector Machines, etc. can be used. This piece of work focuses exclusively on ANNs. Since ANNs have many standard architectural variations divided into two basic computational categories namely the recurrent networks and feed-forward networks, representative networks from each have been selected for study, i.e. Feed Forward Multilayer Perceptron (FF) network for feed-forward networks category and Elman (EL), and Nonlinear Autoregressive Exogenous Model (NARX) networks for the recurrent networks category. The main objective of this work is to identify the most suitable neural architecture for application of LFD in learning different robot actions. The sensor and actuator streams of demonstrated action are used as training data for ANN learning. Consequently, the learning capability is measured by comparing the error between demonstrator and corresponding learner streams. To achieve fairness in comparison three steps have been taken. First, Dynamic Time Warping is used to measure the error between demonstrator and learner streams, which gives resilience against translation in time. Second, comparison statistics are drawn between the best, instead of weight-equal, configurations of competing architectures so that learning capability of any architecture is not forced handicap. Third, each configuration's error is calculated as the average of ten trials of all possible learning sequences with random weight initialization so that the error value is independent of a particular sequence of learning or a particular set of initial weights. Six experiments are conducted to get a performance pattern of each architecture. In each experiment, a total of nine different robot actions were tested. Error statistics thus obtained have shown that NARX architecture is most suitable for this learning problem whereas Elman architecture has shown the worst suitability. Interestingly the computationally lesser MLP gives much lower and slightly higher error statistics compared to the computationally superior Elman and NARX neural architectures, respectively.     

分布式仿真实验管理系统体系结构

针对采用分布式仿真进行体系对抗仿真面临的问题,如数据的一致性、实验资源部署、初始态势加载、仿真运行控制、实验数据回收等,设计分布式仿真实验管理系统体系结构。以满足武器装备论证对仿真实验样本数据需求为目标,辅助武器装备论证人员进行想定编辑、实验设置、实验规划、实验进程监控等,使分布式仿真技术更好地服务于武器装备论证。     

重大工程论证专家选择及其自适应遗传算法

论证专家选择是重大工程可行性论证时的一个复杂决策问题.对此,根据论证专家团队需求构建了论证专家选择模型,并设计了自适应遗传算法进行求解.数值算例验证了所提出的模型和算法的有效性和可行性,可为决策者提供不同准则下的论证专家的最优组合方案.最后对算法进行了分析,给出了解决这类问题的算法控制参数的合理组合范围.