短波地空通信站址布局评估方法

针对短波地空通信站址布局的评估问题,给出2个评估站址布局方案的指标——覆盖度和覆盖效率,分别运用网格扫描法和蒙特卡罗方法对这2个指标进行确定。通过仿真,对正方形和正六边形2种特殊站址布局结构进行评估和比较,得出正六边形结构更合理的结论,并验证了这2个评估指标和确定方法的可行性和有效性。     

Modeling organizational performance indicators

Performance measurement and analysis is crucial for steering the organization to realize its strategic and operational goals. Relevant performance indicators and their relationships to goals and activities need to be determined and analyzed. Current organization modeling approaches do not reflect this in an adequate way. This paper attempts to fill the gap by presenting a framework for modeling performance indicators within a general organization modeling framework.     

基于LS-BSVR的旅游地理经济预测应用

基于改进的LS-BSVR(least squares B support vector regression)算法对旅游地理经济进行分析预测。提出了时政指数、景区景点分布指数概念,设计了时政指数、景区景点分布指数,并应用于旅游地理经济进行分析预测。设计了用于分析预测的数据模式。数值实验和预测平台结果表明,改进的LS-BSVR算法和设计的旅游地理经济数据指标以及数据模式是有效的。     

An e-commerce performance assessment model: Its development and an initial test on e-commerce applications in the retail sector of China

We developed a performance assessment model for e-commerce; it included indicators, indicator weights, and evaluation methods. The model has seven methods of assessing e-commerce performance and uses four criteria to compare and select the appropriate one for a particular situation. This model was tested in the retail sector of China. According to the data collected from 70 Chinese retailers, 16 indicators of e-commerce performance consisted of four constructs: marketing and sales, customer service, supply chain efficiency, and financial performance. The indicators for those constructs provide a comprehensive measurement of performance. Then weights were assigned for each indicator using a majority aggregation method. Comparison of the results from seven evaluation methods showed that discordance analysis and simple additive weighting were the best evaluation methods for the enterprises we had sampled.     

Autonomic nervous system and subjective ratings of strain in air-traffic control

The paper is aimed at studying the perceived strain in professional air-traffic controllers both through self-evaluation and physiological indicators from the autonomic nervous system (ANS). The number of aircraft to be monitored was the main independent variable and could evolve at random within 1 and 10. Five ANS variables were recorded continuously in 25 participants while they handled real traffic: skin potential, skin conductance, skin blood flow, skin temperature and instantaneous heart rate. The tonic level of each physiological variable was averaged to match the times spent monitoring a constant number of aircraft. After the session, participants reacted in compliance with the NASA-TLX rating scale. Subjective ratings and physiological values were closely correlated to the number of aircraft, especially when data were standardized thus reducing inter-subjects differences in baseline levels. Results provide objective information to prevent air-traffic controllers from overloaded situations as well as to improve passengers’ safety.     

alt.metadata.health: Ontological Context for Data Use and Integration

Increasingly powerful computers and increased emphasis on evidence based decision making are creating a demand for merging and integrating data from different sources into a single data set. The demand for data is outstripping our ability to ensure data integrity, and sometimes analysis is performed on data that are not appropriate for the purposes they are used for. Here we describe problems that arise when data from different sources are merged, and we suggest that one way to add context to data so that users can make informed decisions about their ontological context is through ontology-based metadata. Examples of the problem are taken from health data with emphasis on difficulties in standardizing Emergency Room wait times. We describe eight fields that can be used to capture contextual metadata. These fields are captured using ethnographic methods from users and database stewards who frequently understand precisely how context and institutional usage have shaped interpretation of semantic fields. We argue that attaching a portable archive of ontological context to travel with data—based on information from users and developers—is a means of ensuring that data are integrated and compared in multiple contexts with greater integrity and more robust results.

Formal modelling of organisational goals based on performance indicators

Every organisation exists or is created for the achievement of one or more goals. To ensure continued success, the organisation should monitor its performance with respect to the formulated goals. In practice the performance of an organisation is often evaluated by estimating its performance indicators. In most existing approaches for organisation modelling the relation between performance indicators and goals remains implicit. This paper proposes a formal framework for modelling goals based on performance indicators and defines mechanisms for establishing goal satisfaction, which enable evaluation of organisational performance. Methodological and analysis issues related to goals are also discussed in the paper. The described framework is a part of a general framework for organisation modelling and analysis.     

多指示剂复合pH敏感膜及其试验

采用多指示剂聚合构成 pH敏感膜 ,并用神经网络进行光谱处理 ,能有效扩大 pH的敏感范围 ,克服目前光纤化学 pH传感器量程小的缺陷 ,有助于该类传感器的实用化。     

勘查砂金的最新技术KJ法

本文介绍了朝鲜民主主义人民共和国金策工业大学金致崇教授发明的根据磁场调查勘查砂金的最新技术(简称KJ法)。这项技术是不用钻探和井探,而只用仪器探出砂金的矿体形状、大小、埋深及品位。     

基于边界扫描技术的抗混淆自适应测试算法

针对现有边界扫描测试快速测试算法存在征兆混淆现象的问题,在深入分析多种测试算法的基础上,提出一种抗混淆的自适应测试算法.首先,通过分析走步算法的特点,给出一种走步算法的改进方案.该方案在保证算法完备性指标不变的情况下,提高了算法的紧凑性指标.在此基础上,结合改良计数序列算法,生成抗混淆自适应测试算法.该算法解决了改良计数序列算法存在的征兆混淆问题,极大提高了算法的完备性指标,且紧凑性指标较好.