MACROSCOPIC DIVERSITY FOR CDMA MOBILE SYSTEM

A novel system of macroscopic diversity with voting rule in CDMA cellular system is suggested in order to raise the coverage and quality of service of CDMA mobile communication system.The estimation of the impact of macroscopic diversity on performance of CDMA cellular system is analyzed and investigated.     

机械加工过程中轴承故障诊断方法研究

为了提高机械加工过程中滚动轴承故障诊断准确度,提出了基于新的解析能量算子的轴承故障诊断方法.在分析Teager能量算子缺陷基础上,提出了新的能量算子,命名为解析能量算子;解析能量算子无需满足Teager能量算子的使用条件,且能够更好地跟踪故障信号的冲击瞬态特征;使用EMD算法分解原始振动信号,给出了多指标融合的IMF分...     

基于公共利益的城中村规划票决制探讨

根据《物权法》和《城乡规划法》的规定,城中村规划只有符合公共利益,才能成为征收土地、房屋及不动产的依据。在目前公共利益内容不确定、城市政府主导城中村规划的情况下,应引入票决制,解决城中村规划中的公共利益判断难题,为城中村改造的合法性提供法理上的保障;同时,应对票决制进行功能分析和制度设计,构建相应的救济程序,减少票决制度在操作过程中对少数人权益的损害。     

一个基于ASP的流行语投票系统

利用ASP可以直接在HTML文件中嵌入用JavaScript或VBScript脚本语言编写的脚本命令和ADO组件，对任何与ODBC兼容的数据库或OLE DB数据源的高性能连接的优点，结合数据库结构化查询语言(SQL)，构建了一个动态交互的投票系统，完成流行语的网上投票，该系统可以修改泛化应用于各种类型的网上投票或调查系统。     

The impact of information and communication technologies on the costs of democracy

Recent developments in information and communication technologies (ICTs) can change the way strategic organizational decisions are negotiated and voted upon. We propose an analytical framework that investigates the effect of such technologies on the costs of the decision-making process in organizations by incorporating a technology variable in an already well-known model of public decision-making. The framework is applicable to any large group decision setting where collective decisions are made by voting, such as shareholders’ meetings, local and federal government meetings. We apply the framework to derive policies that will help to decrease the costs related to the democratic process. The first policy requires that governments should invest more in technologies that support multi-lateral communication and negotiation among citizens, and the second requires that citizens should use better voting mechanisms than simple majority voting to make decisions.     

Static Validation of a Voting Protocol

The desired security properties of electronic voting protocols include verifiability, accuracy, democracy and fairness. In this paper we use a static program analysis tool to validate these properties for one of the classical voting protocols under appropriate assumptions. The protocol is formalised in an extension of the LySa process calculus with blinding signatures. The analysis, which is fully automatic, pinpoints previously undiscovered flaws related to verifiability and accuracy and we suggest modifications of the protocol needed for validating these properties.     

DPHM： A FAULT DETECTION PROTOCOL BASED ON HEARTBEAT OF MULTIPLE MASTER-NODES

In most of fault detection algorithms of distributed system, fault model is restricted to fault of process, and link failure is simply masked, or modeled by process failure. Both methods can soon use up system resource and potentially reduce the availability of system. A fault Detection Protocol based on Heartbeat of multiple Master-nodes (DPHM) is proposed, which can immediately and accurately detect and locate faulty links by adopting voting and electing mechanism among master-nodes. Thus, DPHM can effectively improve availability of system. In addition, in contrast with other detection protocols, DPHM reduces greatly the detection cost due to the structure of master-nodes.     

Attribute bagging: improving accuracy of classifier ensembles by using random feature subsets

We present attribute bagging (AB), a technique for improving the accuracy and stability of classifier ensembles induced using random subsets of features. AB is a wrapper method that can be used with any learning algorithm. It establishes an appropriate attribute subset size and then randomly selects subsets of features, creating projections of the training set on which the ensemble classifiers are built. The induced classifiers are then used for voting. This article compares the performance of our AB method with bagging and other algorithms on a hand-pose recognition dataset. It is shown that AB gives consistently better results than bagging, both in accuracy and stability. The performance of ensemble voting in bagging and the AB method as a function of the attribute subset size and the number of voters for both weighted and unweighted voting is tested and discussed. We also demonstrate that ranking the attribute subsets by their classification accuracy and voting using only the best subsets further improves the resulting performance of the ensemble.     

Pattern recognition approach to identify natural clusters of acoustic emission signals

A new approach is introduced to identify natural clusters of acoustic emission signals. The presented technique is based on an exhaustive screening taking into account all combinations of signal features extracted from the recorded acoustic emission signals. For each possible combination of signal features an investigation of the classification performance of the k-means algorithm is evaluated ranging from two to ten classes. The numerical degree of cluster separation of each partition is calculated utilizing the Davies-Bouldin and Tou indices, Rousseeuw’s silhouette validation method and Hubert’s Gamma statistics. The individual rating of each cluster validation technique is cumulated based on a voting scheme and is evaluated for the number of clusters with best performance. This is defined as the best partitioning for the given signal feature combination. As a second step the numerical ranking of all these partitions is evaluated for the globally optimal partition in a second voting scheme using the cluster validation methods results. This methodology can be used as an automated evaluation of the number of natural clusters and their partitions without previous knowledge about the cluster structure of acoustic emission signals. The suitability of the current approach was evaluated using artificial datasets with defined degree of separation. In addition the application of the approach to clustering of acoustic emission signals is demonstrated for signals obtained from failure during loading of carbon fiber reinforced plastic specimens.     

Cooperative security in distributed networks

We consider a distributed network in which faulty nodes can pose serious threats as they can subvert the correct operation of basic functionalities, such as, routing or data aggregation. As a setoff to such nodes, we suggest that trust management between nodes is an essential part of a distributed system. In particular, benign nodes shall communicate with trusted nodes only and misbehaving nodes must be rapidly removed from the system.