一种基于数据挖掘技术的战机识别算法

探讨了有效识别敌空袭兵器对指挥决策的重要性.依据现代防空作战指挥决策的特点,以及战场态势的预测对海量数据组织与存储的需求,简要论述了数据挖掘技术,建立了基于数据挖掘技术的战机识别模型,应用该模型对新采集到的战机样本进行识别.定义了数据仓库全体数据记录上待分类的样本集,采用决策树方法进行聚类分析,归纳出数据挖掘算法从数据仓库中发现的模式,求出各模式的平均指标,对新样本进行预测;最后,指出了模型的普遍适用性.     

Nanoparticle–Cartilage Interaction: Pathology?Based Intra?articular Drug Delivery for Osteoarthritis Therapy

Osteoarthritis is the most prevalent chronic and debilitating joint disease, resulting in huge medical and socioeconomic burdens. Intra-articular administration...     

THE RELATIONSHIP OF CONTROL AND LEARNING TO PROJECT PERFORMANCE

ABSTRACT

Management controls can be divided into two types that can have opposite effects on organizational learning: behavioral controls, which promote efficiency but also stifle much of the learning opportunity, and outcome controls, which foster interaction among stakeholders can add to the learning environment. This article reports on a study that confirms these observations and explores the nature of their direct and indirect influences on project performance. Data from a sample of software development professionals confirms that behavioral controls and learning directly influence project performance, while outcome controls contribute only indirectly through their impact on learning.     

哈三电厂600 MW机组节能启停过程的运行优化

阐述了哈三电厂二期2台600 MW机组近年来的启停机节能状况。从设备启停方式和机组改造分析了影响机组启停的经济因素,提出了启停机节能降耗的运行技术措施。     

Contrast-based evaluation of mar resistance of thermoplastic olefins

The physical aspect of mar behavior is studied by applying a standardized progressive sliding load methodology to smooth and textured automotive-grade thermoplastic olefins. It is shown that surface texture has a strong effect on light scattering and, hence, the propensity for mar visibility. It is also shown that digital imaging via a desktop scanner can be used to quantitatively and objectively assess mar resistance using contrast as a basis. Incorporation of slip agent definitively improves the mar resistance for both types of surfaces. Relationships between contrast, gloss and surface roughness in relation to mar visibility are discussed.     

In situ continuously monitoring the early age microstructure evolution of cementitious materials using ultrasonic measurement

The early age microstructure evolution was continuously monitored by using a specially improved ultrasonic monitoring apparatus. The influence of water-to-binder ratios, mineral admixtures, aggregates and temperature were systematically investigated. The experimental results show that concrete can be clearly classified into four stages, while only the three stages can be observed without coarse aggregates. In addition, pre-percolation threshold, percolation threshold and full connectivity of the solid phase were identified. The microstructure formation is promoted with the reduced water-to-binder ratios, increased temperature, silica fume and aggregates addition, while the reverse phenomenon is observed when fly ash and slag are incorporated.     

Prediction of temperature response in concrete in a natural climate environment

Natural weather changes due to diurnal and seasonal temperature and relative humidity cycles affect micro-environment of concrete; temperature and moisture content in the concrete fluctuates correspondingly with variations in the weather. This paper mainly discusses the temperature response in concrete. The temperature response of the concrete shows obvious hysteresis characteristics compared with the climate temperature variations due to the thermal properties of the concrete. The temperature in concrete is a main factor influencing concrete carbonization, chloride diffusion and the corrosion rate of steel bars in the concrete. To predict the temperature response in concrete in a natural climate environment, a model based on the behavior of the concrete’s thermal conduction was presented. A method for processing the climate temperature data was devised using the mathematical principle of extreme difference dissection; in this way, a temperature action spectrum can be formed. In view of the above mentioned studies, the corresponding temperature response in the concrete could be predicted. Comparisons between the prediction and the measurement of the temperature responses were carried out.