A rehabilitation training system with double-CCD camera and automatic spatial positioning technique

This study aimed to develop a computer game for machine vision integrated rehabilitation training system. The main function of the system is to allow users to conduct hand grasp-and-place movement through machine vision integration. Images are captured by a double-CCD camera, and then positioned on a large screen. After defining the right, left, upper, and lower boundaries of the captured images, an automatic spatial positioning technique is employed to obtain their correlation functions, and lookup tables are defined for cameras. This system can provide rehabilitation courses and games that allow users to exercise grasp-and-place movements, in order to improve their upper limb movement control, trigger trunk control, and balance training.     

艺术体操训练中虚拟现实技术的应用探讨

本课题构建了一种基于虚拟现实技术的艺术体操仿真系统，该仿真系统包括艺术体操人体运动跟踪模块、模型变形模块、虚拟现实场景仿真模块几部分构成。     

企业电子商务的应用模式

信息时代的到来使全球市场正在趋于一体化，全球经济和信息也在趋于一体化，企业在浩瀚的“信息海洋”中将面临更为复杂多变的挑战。随着各种新技术的迅速发展，国内外企业纷纷通过研发、应用信息新技术来提高企业的竞争力。电子商务作为一种新的经济革命，使企业的管理效率提高、运行成本下降、企业效益更大，所以说企业电子商务化是企业发展的必由之路。通过分析研究提出了5种企业电子商务的应用模式，并作了长、短期分析，为企业成功开展电子商务的运作提供了可借鉴的参考。     

外企与国企培训战略对比

人才培训战略是企业人力资源战略的基础。本通过外资企业与国内企业的培训战略对比，并对国内企业中人才培训存在的不足与缺点进行了分析与探讨。     

关于飞行模拟器列装的几点认识和启示

对近年来国外飞行模拟装备现状和发展趋势进行了较详细的分析，并从中得出了若干认识和启示。     

支持向量机训练算法及其应用

支持向量机是在统计学习理论基础上提出的一种新的机器学习方法。由于其出．色尊学习性能，该技术已成为机器学习界的研究热点，并成功地应用在模式识别、时间序列预测、苛线性系统辨识、控制及其它方面。本文简要介绍了支持向量机训练算法及其应用，并且讨论了未来的发展方向。     

Multilevel-in-width training for deep neural network regression

A common challenge in regression is that for many problems, the degrees of freedom required for a high-quality solution also allows for overfitting. Regularization is a class of strategies that seek to restrict the range of possible solutions so as to discourage overfitting while still enabling good solutions, and different regularization strategies impose different types of restrictions. In this paper, we present a multilevel regularization strategy that constructs and trains a hierarchy of neural networks, each of which has layers that are wider versions of the previous network's layers. We draw intuition and techniques from the field of Algebraic Multigrid (AMG), traditionally used for solving linear and nonlinear systems of equations, and specifically adapt the Full Approximation Scheme (FAS) for nonlinear systems of equations to the problem of deep learning. Training through V-cycles then encourage the neural networks to build a hierarchical understanding of the problem. We refer to this approach as multilevel-in-width to distinguish from prior multilevel works which hierarchically alter the depth of neural networks. The resulting approach is a highly flexible framework that can be applied to a variety of layer types, which we demonstrate with both fully connected and convolutional layers. We experimentally show with PDE regression problems that our multilevel training approach is an effective regularizer, improving the generalize performance of the neural networks studied.     

Maneuver analysis methodology to predict vehicle impacts on training lands

Tactical mobility analysis techniques were merged with land management strategies to assess potential impacts of vehicle operations on training areas for rangeland planning and management. A vehicle mobility analysis was performed for a suite of vehicle types using the NATO Reference Mobility Model (NRMM II). Input parameters include terrain information (soil type, slope, vegetation, surface roughness, soil strength), terrain surface condition based on climate (terrain strength, freeze–thaw, moisture content, snow cover), and vehicle specifications (tire, power train, weight on each axle, ground clearance, dimensions, ride). The vehicle performance was spatially mapped over the terrain for different seasons of the year and used to calculate the maneuverable acreage, which was compared to acreage needed for training requirements. This can be related to land capability based on expected training impact (Maneuver Impact Miles, MIM) and Land Condition Curves which link training density to land condition. This methodology can be used to determine the suitability of training lands and the degree of land management or rehabilitation expected. The methodology was applied to the transformation of the Alaska training lands to support a new brigade unit called the Stryker Brigade Combat Team (SBCT3), but is equally useful for other training areas and military units. For summer use, Alaska training lands are capable of supporting four times the projected training requirements. For winter, when the ground is frozen, more than 10 times the area needed was available.     

模糊AHP在电网企业员工岗前培训评估中的应用

电网企业技术密集、人员众多、架构庞大,员工岗前培训与企业健康持续发展密不可分.培训工作中最突出的问题在于对培训效果缺乏合理的评估,从而无法了解企业投资的效果,以及培训对组织的贡献.以柯氏培训四级评估模型为基础,采用模糊AHP规范化整个评估过程.最后以电力企业进行的培训项目为例验证分析,证明所提算法的有效性.     

基于单片机的乒乓球训练系统设计

根据乒乓球训练辅助器材匮乏的实际需求出发,该课题设计了一种基于单片机的乒乓球训练系统,该系统主要由AT89C51单片机、数码管显示、压力传感器等组成。