软X射线分档器使用片状激光器

激光产生的等离子体能为分档器提供高度有效和高费效比的X射线源。使用高强度红外固体激光器,等离子体能在晶片中产生高光谱亮度和高强度(>20mW/cm^2)

锤击组件的结构采样器在含重金属底泥采取率中的实践应用

底泥采样是指为了研究排入水体的重金属污染物在底泥中积累、分布、转化和迁移的规律,需要采集的底泥样品,目前市场上的底泥采样器主要包括活塞式柱状取样器、重力式柱状采集器和抓斗式采泥器。对虞河重金属底泥分布、污染厚度、污染因子及浓度等基本特征进行底泥采样,为后期污染现状勘查及疏浚工程提供工程依据。

氟化氩浸渍光刻法用石英光掩膜基板

日本旭硝子公司(Asahi Glass)已生产出氟化氩(ArF)激光分档器浸渍光刻法用的合成石英光掩膜基板。这一技术突破归功于该公司为将合成石英的双折射率降低至1nm以下而开发的技术。

佳能脱去和服

对于深深烙着日本印的佳能。

Automatically Constructing an Effective Domain Ontology for Document Classification

An effective domain ontology automatically constructed is proposed in this paper. The main concept is using the Formal Concept Analysis to automatically establish domain ontology. Finally, the ontology is acted as the base for the Naive Bayes classifier to approve the effectiveness of the domain ontology for document classification. The 1752 documents divided into 10 categories are used to assess the effectiveness of the ontology, where 1252 and 500 documents are the training and testing documents, respectively. The Fl-measure is as the assessment criteria and the following three results are obtained. The average recall of Naive Bayes classifier is 0.94. Therefore, in recall, the performance of Naive Bayes classifier is excellent based on the automatically constructed ontology. The average precision of Naive Bayes classifier is 0.81. Therefore, in precision, the performance of Naive Bayes classifier is gored based on the automatically constructed ontology. The average Fl-measure for 10 categories by Naive Bayes classifier is 0.86. Therefore, the performance of Naive Bayes classifier is effective based on the automatically constructed ontology in the point of F 1-measure. Thus, the domain ontology automatically constructed could indeed be acted as the document categories to reach the effectiveness for document classification.