雷达开放系统的计算机体系结构设计

介绍了雷达设计方法的发展,通过分析传统的雷达系统体系架构的不足,引出雷达开放系统的计算机体系结构,指出其在通用性、模块化方面的优势,并给出在这种体系结构下软硬件设计的方案.然后进一步分析作为雷达主控计算机与雷达子系统之间连接的关键--智能控制器的软硬件架构及完成的主要功能.最后介绍了软件系统设计中面向对象方法的应用.     

基于单片机的发动机信号生成系统

介绍了一种模拟发动机的主要传感器的信号:曲轴信号和凸轮轴信号(基于霍尔效应传感器)以及汽缸压力信号的方法,该系统以单片机PIC18F458为核心,使用四路LED显示曲轴信号对应的发动机转速,使用多种接口来控制信号(按键、串口、CAN总线),并可根据需要在线调试程序,具有结构简单、调试方便、易于控制、稳定可靠等优点,并可模拟汽缸压力信号;多个联合使用,可以构建一个实验室级的发动机模拟平台。     

基于开源组件的网络管理系统的实现

通过研究Cacti的RRDTool模块,分析其在历史信息存储和显示方面的弊端,选择使用普通数据库作为改进策略,设计了基于开源组件的网络管理系统,实现了网络的有效管理。使用SnmpSharpNet组件采集网络设备信息,运用ZedGraph组件绘制图表,并结合数据库技术建立存储相关信息的数据库。     

基于开源GIS的林业有害生物监测与预警系统

针对林业有害生物监测与预警系统建设中存在开发成本较高、开放性较差、灵活性较低等问题,提出基于开源GIS的系统架构。阐述以PostgreSQL／PostGIS为空间数据库、MapServer为GIS引擎、OpenLayers为客户端搭建据的系统平台,对多级地图缓存和基于Web Service的模型库等关键技术进行分析与描述。原型验证及工程实践结果表明,该系统具有低成本、高开放、扩展性强等特点,对于加强林业有害生物信息网络化管理和宏观科学决策具有推广应用价值。     

A Topology Designing System for a Computer Network

In this paper,some problems on the topology design of network are discussed.An exact formula to calculate the delay of a line will be provided.In the design,the key problem is how to find some efficient heuristic algorithms.To solve this problem,a nonliner-discrete-capacity assignment heuristic and a hybrid perturbation heuristic are suggested.Then,a practical CAD system which helps design the topology of network will be introduced.     

基于图计算的论文审稿自动推荐系统

针对传统审稿方式所存在的问题,设计了基于TextRank图算法思想的论文推荐系统,以实现论文审稿分配过程的自动化。系统通过加入词与词之间的影响力计算以及多文档集中逆文档频率IDF实现关键词抽取部分,并使用基于余弦向量值的计算对抽取出的关键词向量进行相似度匹配,最后计算审稿人在各研究领域的影响力,实现论文的推荐。采用了准确率、召回率和综合考察这二者的F值作为评测指标,验证了该方法的有效性。在实际使用环境中,该系统具有较高的准确性与可靠性。     

A text categorisation tool for open source communities based on semantic analysis

Open source software (OSS) projects are supported by communities interacting through software repositories and mailing lists. Thousands of contributors participate in the development of the projects although they rarely meet each other. The result is a huge archived repository with thousands of questions, answers and contributions usually difficult to explore. We propose a tool based on semantic analysis for both performing an automatic knowledge discovery and a categorisation of the content of mailing lists repositories. Semantic analysis is a practical method for extracting and inferring relations of words in passages of discourse, producing measures of relations among words or passages that are well correlated with semantic similarity. The objective of this article is two-fold: (1) to develop a text categorisation tool based on indexing terms and semantic annotation, and (2) to apply the developed tool to extract the main dimensions related to knowledge sharing activities in virtual communities. Debian Linux ports to embedded processors are used as a case study to accomplish the proposed double objective.     

A knowledge based decision support system for computer performance management

Computer systems managers make decisions about hardware and software selection, performance evaluation, capacity planning, and other resource variables on the basis of factual data, accounting data, subjective judgements, and assumptions about the resource consumption of the jobs being run. The importance of computer resource planning calls for effective support methods. A Knowledge-Based DSS (KBDSS) will be able to assist managers in making these policy decisions by utilizing knowledge of the existing configuration and its capabilities, the organizational computing environment, available external resources, and their suppliers. Combining procedural and declarative methods, such a KBDSS may provide early warning of possible bottlenecks, forecast growth of hardware usage, and employ knowledge based inferencing to suggest suitable remedial actions to the systems manager. This paper presents a KBDSS for supporting computer resource planning decisions using a procedural/declarative framework, and illustrates the system's usage aspects.     

基于开源硬件的在线空气质量监测系统设计

以开源硬件Arduino为主控板,配合灰尘传感器、有机物挥发气体传感器、温湿度传感器采集空气质量数据,通过以太网控制器将数据上传至物联网平台,从而实现了空气质量的在线监测。该系统具有性价比高、稳定性好、精度高等优点,并可扩展传感器满足其他测量环境需求。     

A grid computing based approach for the power system dynamic security assessment

This paper addresses the problem of parallel dynamic security assessment applications from static homogeneous cluster environment to dynamic heterogeneous grid environment. Functional parallelism and data parallelism are supported by each of the message passing interface model and TCP/IP model. To consider the differences in heterogeneous computing resources and complexity of large-scale power system communities, a kernel-based multilevel algorithm is proposed for network partitioning. Since the bottleneck in distributed computation is low speed network communication, a bi-level latency exploitation technique is introduced for numerically solving system differential equations. The proposed grid-based implementation includes the core simulation engine, grid computing middleware, a Python interface and Python front-end utilities. Tests for a 39-bus network, a 4000-bus network and a 10,000-bus network are reported, and the results of these experiments demonstrate that the proposed scheme is able to execute the distributed simulations on computational grid infrastructure and provide efficient parallelism.     

A social interaction system based on cloud computing for mobile video telephony

As the use of smartphones become popular,people heavily depend on smartphone applications to deal with their social activities.For this reason,traditional message texting between mobile applications does not fulfill the versatile requirements of social networking.Many mobile applications use multimodality to deliver multimedia messages including sticker,voice and photo message,video call,and snap movie to enhance the communicative capability.However,without face-to-face interaction,people may fail to detect the other side’s non-verbal social behavior such as fine-grain facial expressions,body movements,or hand gesture.During social interaction,non-verbal behavior conveys information about the involved individuals and help the speakers express their social emotion in an implicit way.It is so important for real-world face-to-face interaction but is often blocked on the mobile telephony.To cope with this problem,we propose an afective computing model to assist the representation of social emotion and then help the progress of social interaction on the mobile telephony.In this model,for the purpose of real-time afective analysis,we delegate the computing loading to the cloud side service and enhance the system’s scalability and availability.The result of this experiment approves the feasibility of our system design for the applications of social intelligent.Also,the system provides a research framework of the social intelligent system on the mobile telephony.     

A model based integration framework for computer numerical control system development

As a typical complex embedded computer control system, Computer Numerical Control (CNC) system development is confronted with a great challenge because of its specific requirements as well as some recent development trends such as ever more complex products while at lower prices and shorter develop cycle. In this paper, a model based integration framework (CNCMIF) for CNC system design and development is presented, which integrates modeling, simulation, verification and implementation in a uniform environment. The CNCML (CNC modeling language) with well defined syntax and unambiguous semantics is developed to describe the CNC system in an accurate and explicit way. Model transformation strategy for formal verification and code automatic generation for implementation in the framework are also presented. The approach is an attempt to create an infrastructure to support the CNC system design in an efficient way, while at the same time guarantees the function and performance requirements with advanced capability of the system such as modularity, flexibility, reusability, etc.     

A system for computer-assisted design of inorganic compounds based on computer training

A system for computer-assisted design of inorganic compounds, with an integrated complex of databases for the properties of inorganic substances and materials, a subsystem for the analysis of data, based on computer training, a knowledge base, a predictions base, and a managing subsystem, has been developed. The methodology of integration of software products for data analysis, built upon different algorithms of computer training, has been devised. In many instances the employment of the developed system makes it possible to predict new inorganic compounds and estimate various properties of those without experimental synthesis.     

A personal computer based expert system framework for the design of experiments

In the field of industrial engineering, experimental design play a large role in the manufacturing quality. Knowledge based systems for parameter design will provide the quality engineer with a powerful tool to increase quality. Just as the past ten years saw a movement away from inspection to statistical process control, the future will see a shift from statistical process control to system and parameter design. Improvements in quality will increasingly come from products that are robust in design which will perform well in the very variable environment that is the global market.     

基于人工免疫的新型检测器生成模型

继承了人工免疫系统的思想,研究了KIM和BENTLEY的克隆选择算法,提出了一种适用于入侵检测的新的检测器生成模型。其核心在于两个新的算法：一是为了提高检测器的多样性及适应度水平,提出了基于相似性和适应度相结合的概率选择算法,并给出了此类概率选择的一般形式,理论分析了算法中的权重参数α。二是在产生子代检测器时,为了使得父代的优良基因能最大程度地遗传给子代,防止交叉变异中的退化现象,提出了检测器有效因子的概念和使用有效因子进行保优的策略。通过仿真实验证明合适选择α参数以及有效因子的长度阈值Neg,能使该模型具有很好的多样性和自适应性,呈现出较高的“非我”检测率和低的误检率。     

基于开源硬件与虚拟仪器的智能农业监测系统设计

为了智能化采集农作信息,高效利用农业资源及实现智能农业,设计了基于开源硬件的智能农业监测系统.系统以开源硬件Arduino为核心控制器,配合光照传感器、土壤水分传感器、温湿度传感器、二氧化碳传感器采集农作环境参数,利用ZigBee技术上传数据至虚拟仪器LabVIEW,实现数据在线监测.该系统具有性价比高、扩展性强、可更换组网方式等优点,有着较强的实践性和可操作性.     

A strategic analysis for successful open source software utilization based on a structural equation model

Commercial software companies face many challenges when competing in today’s fast moving and competitive industry environment. Recently, the use of open source software (OSS) has been proposed as a possible way to address those challenges. OSS provides many benefits, including high-quality software and substantial profits. Nevertheless, OSS has not been effectively utilized in real business. The purpose of this paper is to find what affects the utilization of OSS. For this study, we propose a structural equation model (SEM) to analyze the relationships between the quality factors based on ISO/IEC 9126 and OSS utilization. In addition, we suggest an open source software utilization index (OSSUI) based on the proposed SEM. The results provide us with the controllable feedback information to improve user (programmer) satisfaction during OSS utilization.     

A decision support system methodology for forecasting of time series based on soft computing

Exponential procedures are widely used as forecasting techniques for inventory control and business planning. A number of modifications to the generalized exponential smoothing (Holt-Winters) approach to forecasting univariate time series is presented, which have been adapted into a tool for decision support systems. This methodology unifies the phases of estimation and model selection into just one optimization framework which permits the identification of robust solutions. This procedure may provide forecasts from different versions of exponential smoothing by fitting the updated formulas of Holt-Winters and selects the best method using a fuzzy multicriteria approach. The elements of the set of local minima of the non-linear programming problems allow us to build the membership functions of the conflicting objectives. It is compared to other forecasting methods on the 111 series from the M-competition.     

一种结合Bayes估计的NHPP航班查询软件可靠性评估方法

从航班查询系统故障的监控日志出发,分析了航班查询系统的故障数与其发生的时间间隔区间的关系,建立了NHPP模型。为了使NHPP模型能够更加准确地反映时间对航班查询系统的故障数的影响,对航班查询系统的寿命总体分布函数F(t)进行贝叶斯估计。当不重复采样时,贝叶斯估计取F(t)的先验分布为DP(α,P0),使得F(t)后验分布容易分析计算,从而使NHPP模型的估计更为精确。利用实际监控数据进行仿真,对模型进行了实现,结果表明了该模型对可靠性评估有较高的准确度。