浅谈技工院校计算机网络专业人才培养模式

本文针对当前技工院校计算机网络专业开设现状及毕业生就业现状,分析了网络化社会对计算机网络人才的需求,并由此分析了目前计算机网络专业教学及就业中存在的问题,并提出了人才培养的几点建议,以培养实用型人才为目的,改革教学体系与课程设置,实施一体化教学,加强校企合作,关注师资队伍建设。     

对医院信息化培训工作的几点建议

培训工作是医院信息化过程中不可缺少的重要环节。本文结合长期的医院信息系统建设和维护经验,简要阐述了培训工作要有医院管理层高度重视、信息科人员高度负责、培训的常规化和持续性等几点建议。     

基于虚拟现实的网络化上肢康复训练系统

针对中风病人和上肢受伤病人在传统的基于康复器械的训练中,人机之间缺乏良好的互动性以及训练模式内容枯燥乏味的缺点,本文使用Windows GDI和OpenGL在VC++6.0开发环境下开发了一种新颖的基于虚拟现实和计算机网络的上肢辅助康复训练系统。该系统配合康复训练的主动模式和阻抗模式,可以与病人进行具有趣味性和良好交互性的康复训练过程。实验结果表明系统能够辅助医生对病人进行康复训练医疗,并且能够极大的提高病人进行康复训练的积极性。     

Use of a dark object concept and support vector machines to automate forest cover change analysis

An automated method was developed for mapping forest cover change using satellite remote sensing data sets. This multi-temporal classification method consists of a training data automation (TDA) procedure and uses the advanced support vector machines (SVM) algorithm. The TDA procedure automatically generates training data using input satellite images and existing land cover products. The derived high quality training data allow the SVM to produce reliable forest cover change products. This approach was tested in 19 study areas selected from major forest biomes across the globe. In each area a forest cover change map was produced using a pair of Landsat images acquired around 1990 and 2000. High resolution IKONOS images and independently developed reference data sets were available for evaluating the derived change products in 7 of those areas. The overall accuracy values were over 90% for 5 areas, and were 89.4% and 89.6% for the remaining two areas. The user's and producer's accuracies of the forest loss class were over 80% for all 7 study areas, demonstrating that this method is especially effective for mapping major disturbances with low commission errors. IKONOS images were also available in the remaining 12 study areas but they were either located in non-forest areas or in forest areas that did not experience forest cover change between 1990 and 2000. For those areas the IKONOS images were used to assist visual interpretation of the Landsat images in assessing the derived change products. This visual assessment revealed that for most of those areas the derived change products likely were as reliable as those in the 7 areas where accuracy assessment was conducted. The results also suggest that images acquired during leaf-off seasons should not be used in forest cover change analysis in areas where deciduous forests exist. Being highly automatic and with demonstrated capability to produce reliable change products, the TDA-SVM method should be especially useful for quantifying forest cover change over large areas.     

Web proxy cache replacement scheme based on back-propagation neural network

Web proxy caches are used to reduce the strain of contemporary web traffic on web servers and network bandwidth providers. In this research, a novel approach to web proxy cache replacement which utilizes neural networks for replacement decisions is developed and analyzed. Neural networks are trained to classify cacheable objects from real world data sets using information known to be important in web proxy caching, such as frequency and recency. Correct classification ratios between 0.85 and 0.88 are obtained both for data used for training and data not used for training. Our approach is compared with Least Recently Used (LRU), Least Frequently Used (LFU) and the optimal case which always rates an object with the number of future requests. Performance is evaluated in simulation for various neural network structures and cache conditions. The final neural networks achieve hit rates that are 86.60% of the optimal in the worst case and 100% of the optimal in the best case. Byte-hit rates are 93.36% of the optimal in the worst case and 99.92% of the optimal in the best case. We examine the input-to-output mappings of individual neural networks and analyze the resulting caching strategy with respect to specific cache conditions.     

信息工程专业创新人才培养模式研究

从课程体系与教学内容,教学方法与教学手段,实践能力与科学研究三个方面探讨了信息工程专业创新人才的培养模式。并提出在信息时代,只有进一步深化教学改革,加强创新实践环节,将教学与科研相结合,才能为国家和社会培养更多的拔尖信息工程专业创新人才。     

虚拟技术在计算机组装与维护实训中的应用与研究

阐述虚拟机的运行机制和特点,介绍通过虚拟机进行软件安装维护方面的典型案例,表明虚拟机可以在实训过程中替代真实的物理主机使用。     

基于加噪算法的航迹模拟仿真技术研究

针对某军事外教训练系统中目标航迹模拟的特点和不足,提出了一种基于加噪算法的航迹模拟仿真方法,系统模型采用三种基本的目标运动方程模拟目标航迹,并用符合扰动分布规律的随机数进行加噪处理,实现模拟航迹的实时产生。结果证明,该方法模拟的航迹更符合目标的实际运动特性。     

短期负荷预测Volterra滤波器模型

讨论依据相空间邻近轨道演化相似性的特点构造训练模式,建立短期负荷预测Ｖｏｌｔｅｒｒａ滤波器模型的问题．以距离相似度和趋势相似度来衡量电力负荷吸引子轨道的相似度,提出了电力负荷吸引子邻近轨道判别的新方法．从模型训练充分性的角度出发,探讨了模型训练集规模的选择依据．仿真结果表明该模型是有效的．     

Participants matter: Effectiveness of VR-based training on the knowledge,trust in the robot,and self-efficacy of construction workers and university students

Virtual Reality (VR)-based training has gained attention from the scientific community in the Architecture, Engineering, and Construction (AEC) industry as a cost-effective and safe method that eliminates the safety risks that may impose on workers during the training compared to traditional training methods (e.g., in-person hands-on training, apprenticeship). Although researchers have developed VR-based training for construction workers, some have recruited students rather than workers to understand the effect of their VR-based training. However, students are different from construction workers in many ways, which can threaten the validity of such studies. Hence, research is needed to investigate the extent to which the findings of a VR-based training study are contingent on whether students or construction workers were used as the study sample. This paper strives to compare the effectiveness of VR-based training on university students’ and construction workers’ knowledge acquisition, trust in the robot, and robot operation self-efficacy in remote operation of a construction robot. Twenty-five construction workers and twenty-five graduate construction engineering students were recruited to complete a VR-based training for remote operating a demolition robot. We used quantitative analyses to answer our research questions. Our study shows that the results are dependent on the target sample in that students gained more knowledge, whereas construction workers gained more trust in the robot and more self-efficacy in robot operation. These findings suggest that the effectiveness of VR-based training on students may not necessarily associate with its effectiveness on construction workers.