Self-Organizing-Map Based Clustering Using a Local Clustering Validity Index

Classical clustering methods, such as partitioning and hierarchical clustering algorithms, often fail to deliver satisfactory results, given clusters of arbitrary shapes. Motivated by a clustering validity index based on inter-cluster and intra-cluster density, we propose that the clustering validity index be used not only globally to find optimal partitions of input data, but also locally to determine which two neighboring clusters are to be merged in a hierarchical clustering of Self-Organizing Map (SOM). A new two-level SOM-based clustering algorithm using the clustering validity index is also proposed. Experimental results on synthetic and real data sets demonstrate that the proposed clustering algorithm is able to cluster data in a better way than classical clustering algorithms on an SOM.     

Clustering of the self-organizing map using a clustering validity index based on inter-cluster and intra-cluster density

The self-organizing map (SOM) has been widely used in many industrial applications. Classical clustering methods based on the SOM often fail to deliver satisfactory results, specially when clusters have arbitrary shapes. In this paper, through some preprocessing techniques for filtering out noises and outliers, we propose a new two-level SOM-based clustering algorithm using a clustering validity index based on inter-cluster and intra-cluster density. Experimental results on synthetic and real data sets demonstrate that the proposed clustering algorithm is able to cluster data better than the classical clustering algorithms based on the SOM, and find an optimal number of clusters.     

现代医院给排水专业设计中的安全问题研究

用水安全的提出,SARS的爆发以及辽源市中心医院特大火灾的发生,敲响了医院安全的"警钟".为此,从给排水专业设计的角度对医院的用水安全、环境安全和消防安全进行了探讨,并有针对性地提出了相应的设计方法、保障技术与应对措施.     

《医疗机构水污染物处理工程技术规范》编制探讨

医疗机构水污染物处理涉及工程、卫生和环保等领域,具有复杂性、多样性和风险性,是技术与管理的融合集成,编制《医疗机构水污染物处理工程技术规范》必须创新编制思路、优化编制重点、突出关键技术,全过程规范医疗机构水污染物处理工程建设与管理活动,为改善环境和保障健康提供指导性好、实用性强的标准支撑。     

Optimization of the N2 generation selectivity in aqueous nitrate reduction using internal circulation micro-electrolysis

The reduction of nitrate using internal circulation micro-electrolysis technology (ICE) was investigated. The effect of the reaction time, initial pH, Fe/C ratio, and aeration rate on the nitrate reduction was investigated using a single factor experiment. Based on the results of the single factor experiment, a response surface methodology (RSM) was applied to optimize the N₂ generation selectivity. The effects and interactions of three independent variables were estimated using a Box-Behnken design. Using the RSM analysis, a quadratic polynomial model with optimal conditions at pH=8.8, Fe/C=1:1, and an aeration rate of 30 L·min^-1 was developed by means of the regression analysis of the experimental data. Using the RSM optimization, the optimal conditions yielded a N₂ generation selectivity of 72.0%, which is in good agreement with experimental result (73.2%±0.5%) and falls within the 95% confidence interval (IC:66.8%-77.3%) of the model results. This indicates that the model obtained in this study effectively predicts the N₂ generation selectivity for nitrate reduction by the ICE process, thus providing a theoretical basis for process design.     

热挤压对7055铝合金力学性能及组织的影响

采用挤压铸造成形工艺制备7055高强铝合金,研究了热挤压参数对合金力学性能及微观组织的影响,并与铸态下的力学性能及微观组织进行了对比.结果表明,热挤压态下的7055铝合金的微观组织和力学性能均优于铸态,并且晶粒随着比压的增加趋于细化,抗拉强度随着比压的增加趋于提高.当比压为75 MPa时,在730 ℃温度下进行挤压浇注,经过双级固溶处理和时效后,合金的晶粒明显细化,抗拉强度达到681.4 MPa,伸长率达到7.14%.     

Using Cellular Probabilistic Self-Organizing Map in Borrowing Channel Assignment for Patterned Traffic Load

The fast growing cellular mobile systems demand more efficient and faster channel allocation techniques. Borrowing channel assignment (BCA) is a compromising technique between fixed channel allocation (FCA) and dynamic channel allocation (DCA). However, in the case of patterned traffic load, BCA is not efficient to further enhance the performance because some heavy-traffic cells are unable to borrow channels from neighboring cells that do not have unused nominal channels. The performance of the whole system can be raised if the short-term traffic load can be predicted and the nominal channels can be re-assigned for all cells. This paper describes an improved BCA scheme using traffic load prediction. The prediction is obtained by using the short-term forecasting ability of cellular probabilistic self-organizing map (CPSOM). This paper shows that the proposed CPSOM-based BCA method is able to enhance the performance of patterned traffic load compared with the traditional BCA methods. Simulation results corroborate that the proposed method delivers significantly better performance than BCA for patterned traffic load situations, and is virtually as good as BCA in the other situations analyzed.     

三维耦合分析软件的落棒事故分析

作为数值反应堆中必不可少的物理和热工部分,中广核研究院有限公司开发了三维物理热工耦合分析软件,通过动态链接库技术实现了自主研发的核反应堆系统瞬态分析软件和三维核设计软件的耦合,并已与国际基准题结果对比验证。本文为耦合软件的应用,围绕华龙一号的落棒分析问题,开展不同落棒组合的耦合计算分析,并研究停堆棒组落棒和温度调节棒（R）棒组两组落棒对堆芯功率的影响。分析结果表明,非中心对称的棒组落棒事故会导致堆芯径向功率出现不对称,并使得堆芯出口回路温度不同。落棒反应性价值越大,R棒调节后的稳态功率回升相比初始稳态差异越大,DNBR公式计算值的变化趋势与功率呈现相反规律。     

压水堆燃料管理软件Bamboo-C研发及工业确认

基于经典的“两步法”压水堆计算流程,采用目前最先进的核反应堆物理计算方法,研发了先进的压水堆燃料管理软件Bamboo-C。Bamboo-C软件主要由3个功能程序（LOCUST、SPARK、LtoS）组成,LOCUST为二维组件非均匀及等效均匀化计算程序,SPARK为三维堆芯稳态/瞬态分析程序,LOCUST和SPARK程序之间通过组件均匀化参数函数化程序LtoS链接。Bamboo-C软件具备完善的压水堆燃料管理与核设计必备的分析功能,主要包括:启动物理试验、动力学参数计算、控制棒微积分价值、功率运行跟踪等。最后,基于我国自主研发的CNP300、CNP650和CNP1000堆型的运行数据,完成了Bamboo-C软件的工业确认工作。结果表明,采用Bamboo-C软件获得的临界硼浓度、温度系数、控制棒价值以及功率分布等堆芯关键参数的计算值与实测值之间的误差均满足工业限值的要求。      

二元光学元件的制作及其误差分析

详细介绍了二元光学元件制作的光刻技术和一些新的制作工艺,包括薄膜沉积法、激光束或电子束直接写入法和准分子激光加工法．针对用于ＣＯ２激光器模式优化的二元光学反射镜,分析了元件制作误差,包括掩模对准误差、台阶刻蚀深度误差和台阶刻蚀宽度误差对谐振腔振荡模式的影响．