UPS配电系统的可靠性分析

本文主要阐述如何使UPS配电系统达到99.99%的可用性标准,以满足银监会、证交所、航管、IDC等重要的数据中心对配电系统安全性的要求。     

基于Linux的江西气象电子邮件系统设计与实现

随着全省气象信息化建设的发展,电子邮件逐渐成为全省气象工作中不可缺少的一部分。如何拥有一个方便而又安全的自主开发设计的电子邮件系统,也因此成为一个值得探讨的问题。本文主要介绍了基于Linux的江西气象电子邮件系统的系统架构、设计方法及内容,分析了系统的功能特点,最后从技术层面上给出了今后对整套系统的一些可行性完善建议。     

我国农业区水资源-能源-粮食系统协调适配与农业产出——基于人力资本门槛效应的实证

基于2012—2016年我国40个农业区域的面板数据,在考虑人力资本差异的情况下,建立耦合评价模型和面板门槛模型,测度农业区水资源-能源-粮食(WEF)三大主要资源的协调适配程度,并以此为基础,探索WEF系统的协调适配对农业产出的影响。研究发现,(1)我国大部分农业区WEF系统处于临界适配区或耦合失谐区,整体上投入产出存在不匹配的现象,投入要素冗余严重,资源配置效率偏低。(2)WEF系统协调适配与农业产出存在双重门槛,只有当农业从业人员达到较高教育水平时,WEF系统的协调适配对农业产出呈现显著的促进作用。     

基于CiteSpace的国内社会科学研究中熵的应用分析

利用CiteSpace对CSSCI数据库中1998—2016年熵相关文献进行分析,有效弥补熵应用概况的分析;结合战略坐标法,探测出熵应用研究的热点。     

Exploring CO2 mitigation pathway of local industries using a regional-based system dynamics model

Low-carbon development based on low energy consumption, low pollution and low emissions has become an important strategic choice for worldwide governments to achieve sustainable development. In order to support smart government in decision making, information systems have been developed to monitor and predict CO₂ emissions. Most of the existing studies investigate CO₂ emission amounts, identify influencing factors of CO₂ emission and discuss potential suggestions to mitigate CO₂ emission for different industries. They often focus on CO₂ emission research of industries in a region or country, while the integration of carbon flow in the neighboring regions is not well studied. Therefore, this paper proposes a system dynamics model to explore an optimal carbon emission reduction path of a regional industry by integrating regional differences, i.e., industrial comparative advantages, technology advantages and the inter-regional context between the neighboring regions. In the case study, we use a key industry in a typical industrial region of Western China, the cement industry in Chongqing, as a scenario to simulate the CO₂ emission, possible energy demand and cement production of the cement industry in this region for recent years. Simulation results show that by leveraging the regional differences, especially the collaboration of the industrial chain and production capacity among regions, the cement industry in Chongqing can achieve the low-carbon target. In addition, through the analysis and discussions about the features of our model and Chongqing’s cement industry, it reflects that our model using regional differences is applicable to industries with a common demand market at the regional level such as energy, chemical and steel industries.     

基于粒子群优化算法的中小企业竞争情报搜集系统模型

以粒子群优化算法为基本理论,结合我国中小企业目前对竞争情报的迫切需求和开展竞争情报工作的困难,利用跨学科分析法和仿真实验检验法,构建一个适用于中小企业的竞争情报"粒子搜索模型".该模型充分调用各粒子"经验"寻找全局最优解,用以为我国中小企业构建低成本、高收益、易组织管理的竞争情报搜集系统模型提供参考.     

基于AT89S52的多用途工业控制器设计

介绍了以AT89S52单片机为核心的多功能工业控制系统,该系统能够在单片机的控制下完成对温度、压力、流量等物理量的测量,完成了硬件电路的设计及软件程序的编写,通过硬件电路的调试及软件程序的仿真,使该系统能够在要求的条件下完成正常的测量、控制及显示功能。该系统可广泛应用于工厂、矿区、企业等生产部门。     

Subspace design of low-rank estimators for higher-order statistics

Higher-order statistics (HOS) are well known for their robustness to additive Gaussian noise and ability to preserve phase. HOS estimates, on the other hand, have been criticized for high complexity and the need for long data in order to maintain small variance. Since rank reduction offers a general principle for reduction of estimator variance and complexity, we consider the problem of designing low-rank estimators for HOS. We propose three methods for choosing the transformation matrix that reduces the mean-square error (MSE) associated with the low-rank HOS estimates. We also demonstrate the advantages of using low-rank third-order moment estimates for blind system estimation. Results indicate that the full rank MSE corresponding to some data length N can be attained by a low-rank estimator corresponding to a length significantly smaller than N.     

Evaluating epistemic uncertainty under incomplete assessments

The thesis of this study is to propose an extended methodology for laboratory based Information Retrieval evaluation under incomplete relevance assessments. This new methodology aims to identify potential uncertainty during system comparison that may result from incompleteness. The adoption of this methodology is advantageous, because the detection of epistemic uncertainty – the amount of knowledge (or ignorance) we have about the estimate of a system’s performance – during the evaluation process can guide and direct researchers when evaluating new systems over existing and future test collections. Across a series of experiments we demonstrate how this methodology can lead towards a finer grained analysis of systems. In particular, we show through experimentation how the current practice in Information Retrieval evaluation of using a measurement depth larger than the pooling depth increases uncertainty during system comparison.     

基于DECE算法的蓝牙通讯加密

本文在分析蓝牙通讯加密技术缺陷的基础上,提出了DECE通讯加密算法,使得蓝牙对于数据通讯的保密性得到了强化。该算法也可用于网络中的嵌入式设备。