军事训练情况统计自动化工具的设计与实现

本文从工作实际出发,针对目前从上交的军事训练情况报告表中提取待统计数据很不方便的情况,基于Python+PyQt5开发平台,设计并实现了一款具有图形界面的自动化工具,该工具完成了报告表的自动生成、统计报告表数据并绘图展示的功能。本文对该工具功能模块划分、工作流程及代码开发逻辑进行了详细阐述,最后对程序进行打包。该工具可以在一定程度上减少数据录入人员、数据统计人员的劳动强度,帮助其快速生成业务所需文件,提高了训练管理的效率,具有一定的实用价值。

武术套路训练日志系统后台的设计与开发

随着计算机信息技术的高调推广和现代科技的发展,竞技体育训练日志化的管理已广泛得以推广,使得信息化管理成为了竞技体育训练日志管理中最快捷、效率最高的手段和方法。以下系统选用调查法、文献资料法及信息研究方法,针对武术训练管理的各个方面进行调查,为武术训练日志管理提供有效地、可行性的系统。因此,结合PHP+mysql,设计并开发一个武术套路训练管理系统。本系统实现了记录了运动员日常的训练日志,可随时查看具体的任务以及完成度。通过计算机统计并且记录运动员的训练完成度统计。实现了教练训练任务内容的自定义化管理,延伸了拓展性。运动员可及时反馈训练成果,帮助教练针对性的下达训练任务,达到高效率的训练。

偏最小二乘回归在运动训练研究中的应用

OLS逐步回归等变量删除法在处理运动训练领域的共线性数据时,会将一些重要的解释变量或样本点排除在模型之外,从而削弱了理论的优先地位和导向功能。PCR模型对系统信息的综合与筛选能力不佳,拟合与预测精度不甚理想。PLS对系统信息的综合与筛选能力强、拟合与预测精度较高,是目前处理运动训练领域小样本多指标共线性数据的一个非常有效的统计方法,并为运动训练学理论模型的实证检验提供了可能。其不足之处在于较难明确辨识所提取成分的物理含义。

统计实践能力在本科应用性生物学课程教学过程中的养成模式探索——以“生物制药工艺学”课程为例

高校的生物学与工程学交叉专业在本科生教学体系中容易忽视统计素养的培育,是否具备统计思维和实践能力已愈加成为影响此类专业学生深造求学和承担相关工作岗位的重要因素。本研究以应用性课程“生物制药工艺学”课堂教学为例,探索通过学生个体数据分析演示、案例研讨、文献试验解析与统计模拟训练“三步走”的养成模式,为学生毕业论文课题中的统计运用奠定一定基础,实现专业课教学与统计实践能力训练打通融合。研究结果表明,该模式在激发学生统计学习兴趣和提升统计实践能力方面能够发挥积极作用。未来可尝试该模式与更多培养策略混合使用,以期进一步提高此类专业背景学生的统计素养。

Coordinated control strategy for robotic-assisted gait training with partial body weight support

Walking is the most basic and essential part of the activities of daily living. To enable the elderly and non-ambulatory gait-impaired patients, the repetitive practice of this task, a novel gait training robot(GTR) was designed followed the end-effector principle, and an active partial body weight support(PBWS) system was introduced to facilitate successful gait training. For successful establishment of a walking gait on the GTR with PBWS, the motion laws of the GTR were planned to enable the phase distribution relationships of the cycle step, and the center of gravity(COG) trajectory of the human body during gait training on the GTR was measured. A coordinated control strategy was proposed based on the impedance control principle. A robotic prototype was developed as a platform for evaluating the design concepts and control strategies. Preliminary gait training with a healthy subject was implemented by the robotic-assisted gait training system and the experimental results are encouraging.

Computer-based simulative training system--a new approach to teaching pre-hospital trauma care

Objective:A computer-based STS(simulative training system) in providing pre-hospital trauma care at a disaster site was applied to teaching nursing students in the Second Military Medical University,China.This article reports on the teaching effectiveness of this system.Methods:Among 92 participants,46 were in the study group and 46 were in the 'control' group. Each student completed a multiple-choice quiz after completing 18 hours(six three-hour sessions) of the study module,and a score was recorded.The simulative training module was completed only by the study group;the 'control' group was assigned in-class discussions for the same amount of time covering the same content as the study group.The final course scores,which included both comprehensive and group task-based tests were compared between these two groups.The study used a descriptive and comparative approach for quantitative data analysis.Tests of independency between the multiple choice scores and the simulation scores were also performed.Finally,anonymous surveys were conducted.Results:The study group performed better than the 'control' group with a significantly higher average score for the group scenario task-based test score,and consequently the study group's final course score was significantly higher than the 'control' group.As per chi-square tests,no significant associations were found between the multiple choice scores and the simulated training scores.The final surveys showed students overwhelmingly agreed that STS training improved their knowledge and skills,their ability to recognize a potential critical event, and their initial response for trauma care at pre-hospital settings.The survey responses of the study group were noteworthy as they indicated that students recognized the importance of simulative training,appreciated the realism of the simulation,and were able to fight/adjust to the stressful feelings in order to focus on the task.Conclusion:Computer-based STS may be an effective teaching model to help students improve their capability in providing pre-hospital trauma care,and in their effectiveness in disaster response.

The Effect of a Proposed Training Program Based on the Reflective Model on the Teachers＇ Reading Practices in Mafraq

This study aimed at investigating the effect of a proposed EFL （English as a Foreign Language） training program on the teachers＇ reading practices in Mafraq. This program was developed by the researcher according to the ninth-grade EFL teachers＇ needs. The participants of the study were 20 ninth-grade females EFL teachers who represented the experimental and control groups （10 teachers in each group）. They were randomly chosen from 10 schools in the Northwestern Badia Directorate of Education. To achieve the purposes of the study, the researcher designed a needs analysis questionnaire, a training program, a pre and post observation checklist, and a pre and post received knowledge test for teachers. Proper statistical analysis was used to analyze the results of the research questions. The results of the study showed that teachers were in need to be trained on 20 reading comprehension practices to be able to teach reading comprehension effectively. Besides, there were statistically significant differences at the level of （a = 0.05） between the means scores of the ninth-grade teachers＇ performance of the control and experimental groups on the post observation checklist and on the post received knowledge test in favor of the experimental group due to the training program.

特征优选下的遥感影像面向对象分类规则构建

针对分类规则及其阈值的确定主要依赖人工经验、通用性差问题,该文提出了特征优选支持的面向对象分类规则构建方法。该方法利用面向对象技术,首先使用Boruta算法对先验样本数据集进行特征选择,然后根据隶属度函数构建分类规则集,最后引入置信区间概念,确定分类规则的阈值。以德国波兹坦地区的航空影像、数字表面模型(DSM)以及地面真实参考影像为实验数据,构建城市建筑、城市绿地(包括草地和树木)这两种地类的分类规则,利用不同数量的训练样本,开展面向对象分类实验,与支持向量机(SVM)监督分类方法进行对比分析。实验结果表明,在相同的优选特征下,利用置信区间确定阈值得到的分类规则,提取效果及分类精度更好,尤其在训练样本量少的情况下,该方法得到的分类精度比SVM高30%～40%。

Training sequence based channel estimation for indoor visible light communication system

Channel estimation is a key technology in indoor wireless visible light communications(VLCs).Using the training sequence(TS),this paper investigates the channel estimation in indoor wireless visible light communications.Based on the propagation and signal modulation characteristics of visible light,a link model for the indoor wireless visible light communications is established.Using the model,three channel estimation methods,i.e.,the correlation method,the least square(LS) method and the minimum mean square error(MMSE) method,are proposed.Moreover,the performances of the proposed three methods are evaluated by computer simulation.The results show that the performance of the correlation method is the worst,the LS method is suitable for higher signal to noise ratio(SNR),and the MMSE method obtains the best performance at the expense of highest complexity.