A hybrid knowledge and ensemble classification approach for prediction of venous thromboembolism

Clinical narratives such as progress summaries, lab reports, surgical reports, and other narrative texts contain key biomarkers about a patient's health. Evidence-based preventive medicine needs accurate semantic and sentiment analysis to extract and classify medical features as the input to appropriate machine learning classifiers. However, the traditional approach of using single classifiers is limited by the need for dimensionality reduction techniques, statistical feature correlation, a faster learning rate, and the lack of consideration of the semantic relations among features. Hence, extracting semantic and sentiment-based features from clinical text and combining multiple classifiers to create an ensemble intelligent system overcomes many limitations and provides a more robust prediction outcome. The selection of an appropriate approach and its interparameter dependency becomes key for the success of the ensemble method. This paper proposes a hybrid knowledge and ensemble learning framework for prediction of venous thromboembolism (VTE) diagnosis consisting of the following components: a VTE ontology, semantic extraction and sentiment assessment of risk factor framework, and an ensemble classifier. Therefore, a component-based analysis approach was adopted for evaluation using a data set of 250 clinical narratives where knowledge and ensemble achieved the following results with and without semantic extraction and sentiment assessment of risk factor, respectively: a precision of 81.8% and 62.9%, a recall of 81.8% and 57.6%, an F measure of 81.8% and 53.8%, and a receiving operating characteristic of 80.1% and 58.5% in identifying cases of VTE.     

用于磁场测量的高精度500A/30V零压开关直流稳流电源

研制了一种带有无源辅助网络的全桥移相脉宽调制零压开关(FB PSPWMZVS)高精度磁铁稳流电源,并在电磁铁磁场测量中得到应用,其电流稳定度在8h内优于±1×10-4。     

现代住区规划的几点思考

通过对居住区规划中住区交通组织、环境建设,以及住宅配套现实处理方法的分析,指出现代住区的规划要根据当地实际情况,因地制宜组织住区交通网络,合理整合住宅内外环境,适度超前建设配套设施。     

二滩水电站油、水、风系统设备运行与改造

水电站辅助设备的运行直接影响水电站运行的安全性和可靠性。二滩水电站投运初期，油、水、风系统先后出现了许多问题，通过应用新产品和新技术对其进行了改造。为水电厂辅助设备的设计、选型、安装提供了宝贵的经验，并对水电厂辅助设备的检修、调试和运行维护有一定的指导作用。     

辅助消声器在轿车排气消声器性能研究中的应用

引入辅助消声器（BAM）原理，对T15汽车加速行驶产生的“噗噗”声进行试验分析，发现了原消声器系统存在的问题，并对原消声器结构做了优化，解决了“噗噗”声问题。     

Employing optimized combinations of one-class classifiers for automated currency validation

Automated currency validation requires a decision to be made regarding the authenticity of a banknote presented to the validation system. This decision often has to be made with little or no information regarding the characteristics of possible counterfeits as is the case for issues of new currency. A method for automated currency validation is presented which segments the whole banknote into different regions, builds individual classifiers on each region and then combines a small subset of the region specific classifiers to provide an overall decision. The segmentation and combination of region specific classifiers to provide optimized false positive and false negative rates is achieved by employing a genetic algorithm. Experiments based on high value notes of Sterling currency were carried out to assess the effectiveness of the proposed solution.     

相控阵AEW雷达杂波抑制的辅助通道方法研究

本文分析了相控阵机载预警(AEW)雷达杂波抑制的现有两种辅助通道降维技术(Klemm方法和简化方法)的性能，并提出了一种新的辅助通道方法。新方法的基本思想为：根据待处理距离段内各距离单元杂波能量在波束一多普勒域分布的统计特征自适应地选取辅助通道，使所选辅助通道实时地逼近杂波子空间，从而有效抑制杂波。本文方法不但可以用于非正侧视阵情况，而且误差鲁棒性好。计算机仿真结果证实了其有效性。     

也谈防水卷材生产的设备与工艺

介绍了防水卷材生产设备设计和操作的工艺参数，以及配套系统的配置依据，由此制造出的成套设备可生产出各规格的达标产品。     

Dynamic Waveband Switching in WDM Mesh Networks Based on a Generic Auxiliary Graph Model

Waveband switching (WBS) is a promising technique to reduce the switching and transmission costs in the optical domain of a wavelength-division multiplexing (WDM) network. This paper considers the problem of provisioning dynamic traffic using WBS in a WDM mesh network. The network of interest is a homogeneous WBS network, where each node has the functionality of WBS. The problem is called the dynamic WBS problem, which involves searching waveband-routes or wavelength-routes for the dynamically arriving traffic requests. The objective is to minimize the total switching and transmission costs in the optical domain. To solve the dynamic WBS problem, an auxiliary graph model capturing the network state is proposed. Based on the auxiliary graph, two heuristic on-line WBS algorithms with different waveband grouping policies are proposed, namely the wavelength-first WBS algorithm based on the auxiliary graph (WFAUG) and the waveband-first WBS algorithm based on the auxiliary graph (BFAUG). Simulation results indicate that WBS is an attractive technique which reduces the overall switching and transmission costs by up to 30% in the network. The results also show that the WFAUG algorithm outperforms the BFAUG algorithm in terms of port savings and cost savings.     

Successive pattern classification based on test feature classifier and its application to defect image classification

A novel successive learning algorithm based on a Test Feature Classifier is proposed for efficient handling of sequentially provided training data. The fundamental characteristics of the successive learning are considered. In the learning, after recognition of a set of unknown data by a classifier, they are fed into the classifier in order to obtain a modified performance. An efficient algorithm is proposed for the incremental definition of prime tests which are irreducible combinations of features and capable of classifying training patterns into correct classes. Four strategies for addition of training patterns are investigated with respect to their precision and performance using real pattern data. A real-world problem of classification of defects on wafer images has been dealt with by the proposed classifier, obtaining excellent performance even through efficient addition strategies.