系统动力学在累积环境影响评价中的应用研究

文章分析了利用系统动力学 (SD)方法进行累积影响评价的能力 .实例研究表明 ,SD方法能较好地反映环境影响的动态变化过程 ,在空间累积效应的评价方面也有一定作用 ,是进行累积影响评价的有效方法     

面向不同应用场景的海洋平台综合安全评估方法

建立了海洋平台综合安全评估指标与评估模型,实现了对海洋平台各种风险的综合评估.通过目标分解简化影响因子,搭建影响平台安全的综合评估模型,构建风险评估矩阵,计算每一个层次的相对权重加权综合得到组合权重,确定风险等级.综合安全评估模型可根据实际情况增加(减少)风险因子的数量,不受搭建模型的局限性,提高海洋平台综合安全风险评...     

人工智能技术课程实践教学改革

根据人工智能技术课程的教学情况,从教学内容、教学方法、教学案例、考核方式、培养实践能力五个方面探讨教学改革.提出在不断更新教学内容和"课堂讲授-课下辅导"模式的基础上,加强网络资源的利用,增加贯穿整个教学过程的分组报告,设计出提高创新能力的教学案例,开展具有多元考核方式以及循序渐进的动态实验设置模式的实践教学改革,以有...     

基于潮流跟踪的最小负荷削减费用计算

电网可靠性的经济性价值日益受到人们的重视,如何对其进行定量计算具有重要的现实意义.该文建立了体现电网可靠性经济价值的负荷削减费用模型,模型中综合考虑了节点负荷用户类型的分类和缺电损失评价率随停电时间的变化情况.在潮流跟踪法的基础上,提出了衡量负荷削减对缓解系统过负荷支路程度的经济性指标,并利用该指标对模型进行求解.算例结果验证了该方法的有效性和实用性.     

面向未来的河北省南部电网智能化调度

介绍智能电网环境下调度侧的技术特征及河北省南部电网调度侧智能化的现状,分析河北省南部电网智能化调度存在的差距,并在此基础上提出开发励磁建模及参数辨识系统、进行基于ADPSS的在线数据快速安全风险分析、开发网损管理辅助分析系统、整合可实现电网自愈的关键技术、建设调度计划管理系统等提高河北南网调度智能化的措施.     

我国整合合格评定机构、构建统一的认证认可体系

详细介绍了合格评定制度及其发展,以及我国认证认可体系的新进展。     

A Study of an Intelligent Battlefield Damage Assessment System Based on a Multi-agent System

Battlefield damage assessment is the key to Battlefield Damage Assessment and Repair (BDAR).We present an Intelligent Battlefield Damage Assessment System (IBDAS) based on multi-agent system technology. We first establish the system framework, and then study the interior structure and workflow of a problem allocation agent. The result shows that, there are many advantages to resolve the problem of battlefield damage assessment by applying multi-agent system technology, and it will bring significant military benefit.     

应用Bayes方法进行末敏弹抛射过程可靠性分析

针对末敏弹是几种高新技术相结合的新型弹药．试验费用昂贵．靶场试验次数的特点．采用Bayes方法对其抛射过程的可靠性进行分析。详细分析了末敏弹的抛射过程．利用继承因子和环境因子对其各环节的验前信息进行了处理．并对抛射过程的可靠度进行了数值仿真计算．计算结果可以为下一步进行末敏弹的效能分析提供参考和依据。     

使用后评估（POE）理论及案例研究——清华大学美术学院教学楼评价性后评估

使用后评估（post-ocupancy evaluation）是依据建筑性能标准对建筑环境进行评价与分析的操作。后评估以建筑使用者及其需求作为评价标准和依据,以期从评价中获取信息和经验为未来创造更好的建筑提供有益的借鉴。就当今建筑设计实践的全过程而言,使用后评估是建筑设计程序中的又一个重要的因素, 它的操作和研究使建成环境和设施更加完善,使建筑设计更加科学和合理。使用后评估分为三个层次,它们是指示性后评估、评价性后评估和诊断性后评估。本文通过对使用后评估理论的梳理,针对清华大学美术学院教学楼进行后评估,将后评估理论进行了实际程序的操作,为我国建筑环境后评估提供了案例研究。     

Neurocognitive signs in prodromal Huntington disease.

Objective: PREDICT-HD is a large-scale international study of people with the Huntington disease (HD) CAG-repeat expansion who are not yet diagnosed with HD. The objective of this study was to determine the stage in the HD prodrome at which cognitive differences from CAG-normal controls can be reliably detected. Method: For each of 738 HD CAG-expanded participants, we computed estimated years to clinical diagnosis and probability of diagnosis in 5 years based on age and CAG-repeat expansion number (Langbehn, Brinkman, Falush, Paulsen, & Hayden, 2004). We then stratified the sample into groups: NEAR, estimated to be ≤9 years; MID, between 9 and 15 years; and FAR, ≥15 years. The control sample included 168 CAG-normal participants. Nineteen cognitive tasks were used to assess attention, working memory, psychomotor functions, episodic memory, language, recognition of facial emotion, sensory–perceptual functions, and executive functions. Results: Compared with the controls, the NEAR group showed significantly poorer performance on nearly all of the cognitive tests and the MID group on about half of the cognitive tests (p = .05, Cohen's d NEAR as large as ?1.17, MID as large as ?0.61). One test even revealed significantly poorer performance in the FAR group (Cohen's d = ?0.26). Individual tasks accounted for 0.2% to 9.7% of the variance in estimated proximity to diagnosis. Overall, the cognitive battery accounted for 34% of the variance; in comparison, the Unified Huntington's Disease Rating Scale motor score accounted for 11.7%. Conclusions: Neurocognitive tests are robust clinical indicators of the disease process prior to reaching criteria for motor diagnosis of HD. (PsycINFO Database Record (c) 2010 APA, all rights reserved)