高氧化态（Ⅱ─Ⅳ）三核金属簇合物构型的人工神经网络判别方法

本文运用一典型的人工神经网络模型─“反向传播”模型，对高氧化态（Ⅱ─Ⅳ）三核金属簇合物的构型分布进行了分析，得到了较好的分类、预报结果为化合物结构分析提供了新的工具。     

嵌埋于Ag基质中纳米Co团簇结构及其磁性的研究

基于溅射－气体－聚集（SGA）形成原子团族的原理，提出了蒸发－气体－聚集（EGA）共沉积制备嵌埋团簇新方法，并在方华膜电镜载网和单晶硅片上成功地制备了嵌埋于Ag基质中纳米Co团簇样品。TEM／ED分析表明，样品中Co团族被Ag原子所包裹，有效地阻止了团簇的表面氧化与自聚集，其结构为fcc－Co和fcc－Ag多晶共存形态。VSM磁性测量表明，样品呈现出超顺磁性，随着测量温度的降低，其饱和磁化强度逐渐升高．     

Clustering-based topical Web crawling using CFu-tree guided by link-context

Topical Web crawling is an established technique for domain-specific information retrieval. However, almost all the conventional topical Web crawlers focus on building crawlers using different classifiers, which needs a lot of labeled training data that is very difficult to label manually. This paper presents a novel approach called clustering-based topical Web crawling which is utilized to retrieve information on a specific domain based on link-context and does not require any labeled training data. In order to collect domain-specific content units, a novel hierarchical clustering method called bottom-up approach is used to illustrate the process of clustering where a new data structure, a linked list in combination with CFu-tree, is implemented to store cluster label, feature vector and content unit. During clustering, four metrics are presented. First, comparison variation （CV） is defined to judge whether the closest pair of clusters can be merged. Second, cluster impurity （CIP） evaluates the cluster error. Then, the precision and recall of clustering are also presented to evaluate the accuracy and comprehensive degree of the whole clustering process. Link-context extraction technique is used to expand the feature vector of anchor text which improves the clustering accuracy greatly. Experimental results show that the performance of our proposed method overcomes conventional focused Web crawlers both in Harvest rate and Target recall.     

CBTC系统中现地工作站合设方案研究

在CBTC系统架构中,联锁上位机和列车自动监控(ATS)值班工作站作为两个独立的操作终端,承担着不同的功能和角色.随着CBTC系统产品在国内的广泛应用以及地铁精细化管理和减少维护设备要求的提出,运营方对联锁上位机和AT S车站值班工作站提出了合设的招标要求.为了实现此目标,文章通过对比分析CBTC系统架构中两个操作终端...     

Optimal power system operation using parallel processing system and PSO algorithm

In recent studies, PSO algorithm is applied to solve OPF problem. However, population based optimization method requires higher computing time to find optimal point. This shortcoming is overcome by a straightforward parallelization of PSO algorithm. The developed parallel PSO algorithm is implemented on a PC-cluster system with 8 Intel Pentium IV 2 GHz processors. The proposed approach has been tested on the test systems. The results showed that computing time of parallelized PSO algorithm can be reduced by parallel processing without losing the quality of solution.     

基于OMNET++的leach协议的仿真与改进

由于无线传感网络是一种能量和资源都有限的网络,为了更好的延长无线传感网络的生命周期,本文对无线传感网络路由协议中的leach协议进行了深入的分析,探讨和仿真。并在这个协议的基础上,对簇头的选择提出了改进。在OMENT++平台上进行了多次的仿真测试,对不同的基站位置这个参数进行了仿真且对比。通过仿真对比发现,新改进的LEACH协议能够很好降低功耗,延长网络寿命,达到了设计的要求。     

Barriers to energy efficiency in small industry clusters: Multi-criteria-based prioritization using the analytic hierarchy process

The small scale industry (SSI) is an important component of Indian economy and a majority of SSI units tend to exist in geographical clusters. Energy efficiency is crucial for the survival and growth of energy intensive SSI clusters, not only to improve their competitiveness through cost reduction but also to minimize adverse environmental impacts. However, this is easier said than done due to the presence of a variety of barriers. The identification of relevant barriers and their appropriate prioritization in such clusters is a prerequisite to effectively tackle them. This paper identifies relevant barriers to energy efficiency and their dimensions in SSI clusters. Further, the barriers are prioritized based on the perceptions and experiences of entrepreneurs, the main stakeholders of SSIs, using the analytic hierarchy process (AHP). The field data from two energy intensive clusters of foundry and brick and tile in Karnataka (a state in India) reveal that the prioritization remained the same despite differences in the relative weights of barrier groups. The financial and economic barrier (FEB) and behavioural and personal barrier (BPB) have emerged as the top two impediments to energy efficiency improvements.     

基于多结构信息的FAT文件系统数据恢复算法

针对FAT文件系统,目前多数恢复软件难以恢复物理上非连续存储的被彻底删除文件。本文提出一种基于多结构信息的数据恢复算法,结合FAT表中簇分配信息、目录表中起始簇和时间等信息,能够较好地对一些物理非连续的文件进行恢复,提高了数据恢复的成功率。     

多假设跟踪算法研究及其应用

MHT（多假设跟踪）是一种基于多个扫描周期量测,进行数据互联的技术,理论上是解决数据关联的最优方法。文中重点阐述多假设跟踪算法中数据聚簇、假设生成及假设概率计算、假设约简与剪枝等环节。从工程角度出发,采用K—best最优假设和N-scan回溯剪枝以提高算法效率和实用性。     

一种无线网络优化中挖掘LTE小区场景突变的方法研究

研究了一种检测无线网络优化中挖掘LTE小区场景突变的方法,通过筛选过滤出场景突变的LTE小区数据集,分析确认是否由于某些性能指标或者参数原因而导致的小区场景突变,最终挖掘得到发生场景突变的LTE小区。