头盔显示器的关键技术及有关设计问题综述

头盔显示器可以提高驾驶员的态势感知能力，红外传感器提供的信息，使驾驶员的态势感知能力大大加强，头盔显示器提供的红外图像，使恶劣的天气和黑夜不再成为驾驶员作战的障碍，概述了头盔显示器的发展过程和关键技术，介绍了当前空军用头盔显示器的技术问题，解决方法，设计示例。     

核电厂管系振动鉴定

本文介绍了核电厂管道振动鉴定概况,讨论了目前使用的管系振动的鉴定方法,给出了鉴定准则。     

解读《标准》研究教学——蚌埠医学院《医学专业英语》教学改革思路

随着全球化进程的加快,医学教育的国际化趋势日趋明显。作为临床医学专业本科教育质量监控及教学工作自我评价的主要依据,教育部、卫生部于2008年9月制定了《本科医学教育标准—临床医学专业(试行)》。文章结合《标准》,着重论述了我校《医学专业英语》教学改革的一些具体的思路和方法。     

企业文化建设的误区及对策

企业文化包括企业精神文化、制度文化、行为文化和物质文化。它在增强企业凝聚力 ,提高企业经济和社会效益方面发展发挥着重要作用。目前企业文化建设在概念、认识、内容和操作上都还存在着一定的误区。在加强企业文化建设时 ,要着力解决思想认识、工作机制、领导推动与垂范等问题     

基于最优分类数及遗传算法的灰度图像多阈值自动分割法

如何确定分类数是模式识别和图像分割中常要面对的难题。文献犤1犦提出了一种基于阴阳机制确定最优分类数的模式聚类方法。该文在文献犤1犦的基础上,导出了一个新的用于评价灰度图像多阈值分割的评价标准,并结合遗传算法,提出了一种用于灰度图像的多阈值自动分割方案。试验表明,该法具有较强的鲁棒性、适用性、非监督性。     

Measurement of slipperiness: fundamental concepts and definitions

The main objective of this paper is to give an overview of basic concepts and definitions of terms related to the ‘measurement of slipperiness’ from the onset of a foot slide to a gradual loss of balance and a fall. Other unforeseen events prior to falls (e.g. tripping) are sparingly dealt with. The measurement of slipperiness may simply comprise an estimation of slipping hazard exposures that initiate the chain of events ultimately causing an injury. However, there is also a need to consider the human capacity to anticipate slipperiness and adapt to unsafe environments for avoiding a loss of balance and an injury. Biomechanical and human-centred measurements may be utilized for such an approach, including an evaluation of relevant safety criteria for slip/fall avoidance and procedures for validation of slip test devices. Mechanical slip testing approaches have been readily utilized to measure slipperiness in terms of friction or slip resistance but with conflicting outcomes. An improved understanding of the measurement of slipperiness paradigm seems to involve an integration of the methodologies used in several disciplines, among others, injury epidemiology, psychophysics, biomechanics, motor control, materials science and tribology.     

Review on multi-criteria decision analysis aid in sustainable energy decision-making

Multi-criteria decision analysis (MCDA) methods have become increasingly popular in decision-making for sustainable energy because of the multi-dimensionality of the sustainability goal and the complexity of socio-economic and biophysical systems. This article reviewed the corresponding methods in different stages of multi-criteria decision-making for sustainable energy, i.e., criteria selection, criteria weighting, evaluation, and final aggregation. The criteria of energy supply systems are summarized from technical, economic, environmental and social aspects. The weighting methods of criteria are classified into three categories: subjective weighting, objective weighting and combination weighting methods. Several methods based on weighted sum, priority setting, outranking, fuzzy set methodology and their combinations are employed for energy decision-making. It is observed that the investment cost locates the first place in all evaluation criteria and CO₂ emission follows closely because of more focuses on environment protection, equal criteria weights are still the most popular weighting method, analytical hierarchy process is the most popular comprehensive MCDA method, and the aggregation methods are helpful to get the rational result in sustainable energy decision-making.     

安全操作系统安全属性即时撤消研究

多安全政策支持机制和新的国际信息安全评价标准－CC（common criteria)标准都要求安全操作系统提供完善的安全属性即时撤消机制，但是目前的研究都不够完善，在分析安全操作系统中的安全属性即时 撤消问题的基础上，建立安全属性即时撤消框架，并且设计“基于操作表的in-progress操作撤消机制”较好地解决了inprogress操作撤消问题，最后描述了框架在RS－Linux 安全操作系统中的实施。     

The Beck Depression Inventory and Research Diagnostic Criteria: Congruence in an Older Population.

This study examined the congruence between conventional cutoff scores on the Beck Depression Inventory (BDI) and selected diagnostic classifications of the Research Diagnostic Criteria in a sample of 102 elders seeking psychological treatment. Only 16.67% were misclassified by customary BDI cutoff scores. Minor Depressive Disorders were less clearly identified than Major Depressive Disorders or nondepressed status. Similar results were obtained in a second sample of elders not seeking treatment. Findings support the utility of the BDI as a screening instrument for identification of clinically depressed elders. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Developing artificial neural networks for safety critical systems

There are many performance based techniques that aim to improve the safety of neural networks for safety critical applications. However, many of these approaches provide inadequate forms of safety assurance required for certification. As a result, neural networks are typically restricted to advisory roles in safety-related applications. Neural networks have the ability to operate in unpredictable and changing environments. It is therefore desirable to certify them for highly-dependable roles in safety critical systems. This paper outlines the safety criteria which are safety requirements for the behaviour of neural networks. If enforced, the criteria can contribute to justifying the safety of ANN functional properties. Characteristics of potential neural network models are also outlined and are based upon representing knowledge in interpretable and understandable forms. The paper also presents a safety lifecycle for artificial neural networks. This lifecycle focuses on managing behaviour represented by neural networks and contributes to providing acceptable forms of safety assurance.