Availability Modeling and Cost Optimization for the Grid Resource Management System

Grid computing is a recently developed technique for complex systems with large-scale resource sharing, wide-area communication, and multi-institutional collaboration. Although the development tools and techniques for the grid have been extensively investigated, the availability of the grid resource management system (RMS) has not been comprehensively studied. In order to contribute to this lacking but important field, this paper first models the grid RMS availability by considering both the failures of resource management (RM) servers and the length limitation of request queues. A hierarchical Markov reward model is implemented to evaluate the grid RMS availability. Based on the availability model, an optimization problem for designing the grid RMS is studied in order to minimize the cost by determining the best number of RM servers. Then, the sensitivity analysis is conducted, and a dynamic switching scheduling method is further presented based on the sensitivity analysis.     

Video Semantic Event/Concept Detection Using a Subspace-Based Multimedia Data Mining Framework

In this paper, a subspace-based multimedia data mining framework is proposed for video semantic analysis, specifically video event/concept detection, by addressing two basic issues, i.e., semantic gap and rare event/concept detection. The proposed framework achieves full automation via multimodal content analysis and intelligent integration of distance-based and rule-based data mining techniques. The content analysis process facilitates the comprehensive video analysis by extracting low-level and middle-level features from audio/visual channels. The integrated data mining techniques effectively address these two basic issues by alleviating the class imbalance issue along the process and by reconstructing and refining the feature dimension automatically. The promising experimental performance on goal/corner event detection and sports/commercials/building concepts extraction from soccer videos and TRECVID news collections demonstrates the effectiveness of the proposed framework. Furthermore, its unique domain-free characteristic indicates the great potential of extending the proposed multimedia data mining framework to a wide range of different application domains.     

两种数据融合算法对扩散硅压力传感器的温度补偿

针对扩散硅压力传感器在实际应用中对温度存在交叉灵敏度的问题,文章采用改进的多维回归分析法和BP神经网络法两种实用的智能化数据融合方法对压力传感器输出进行处理,以消除非目标参量(温度)对传感器的影响;研究结果表明这两种方法均能有效地抑制交叉灵敏度,减小灵敏度温漂和零点温漂;由于这两种融合算法具有各自的特点,因此可应用于不同要求的智能传感器系统中。     

基于热棒工作状态检测问题的分析

针对国内关于热棒工作状态检测技术的研究较少而且各热棒使用单位对热棒工作状态的检测方法的需求的现状,介绍了热棒的应用背景并分析了对现场热棒工作状态检测的需求,介绍并讨论了一种现场检测热棒工作状态的方法;该方法通过回归方程的方差分析和显著性检验,综合利用了现场测得的热棒上不同位置的温度信息;该方法提高了检测手段的可靠性和灵活方便性应用,结果表明,该检测方案运行稳定可靠,检测精度高,具有一定的实用性和推广价值。     

先进飞机电气系统处理机的研究及实现

随着现代计算机技术和电子技术的发展以及多电飞机对新型配电系统的需求,分布式电气负载智能管理成为先进飞机电气系统发展的方向;电气系统处理机(PSP)是先进飞机电气系统的核心,负责实时负载调度、管理,系统故障处理、恢复和系统动态重构;以某型飞机为背景,首先论述了电气系统处理机的功能,搭建了合适的系统软硬件平台,并在这个基础上进行了详细任务级设计;然后讨论了改进电气系统处理机软件可靠性的措施以及BIT技术在电气系统处理机上的实现方法;实验情况表明系统能够实现多任务可靠调度,能够满足先进飞机对电气系统的可靠性、实时性等要求。     

钻井井场生产监控系统设计与实现

为了提高油田钻井时效及质量,降低钻进成本,开发了基于网络通信技术的钻井井场生产无线监控系统;系统通过网络将井场数据无线传输给基地存储,基地通过网络将各类生产指令下达到井场,实现生产一线、科研、管理信息共享,共同监视钻井施工过程,实时综合分析数据,自动预警,及时调整钻井工艺,预防事故发生,具有较强的应用价值。     

实时MP2音频编码算法的优化设计

MPEG音频编码标准的实现算法比较复杂,而目前对该算法的优化大部分集中在在对算法的简化上,以减少运算量,在这方面已经有了很大的发展,通过从算法编码实现上,讨论对MP2编码算法的优化.     

TEXEMS: texture exemplars for defect detection on random textured surfaces

We present an approach to detecting and localizing defects in random color textures which requires only a few defect free samples for unsupervised training. It is assumed that each image is generated by a superposition of various-size image patches with added variations at each pixel position. These image patches and their corresponding variances are referred to here as textural exemplars or texems. Mixture models are applied to obtain the texems using multiscale analysis to reduce the computational costs. Novelty detection on color texture surfaces is performed by examining the same-source similarity based on the data likelihood in multiscale, followed by logical processes to combine the defect candidates to localize defects. The proposed method is compared against a Gabor filter bank-based novelty detection method. Also, we compare different texem generalization schemes for defect detection in terms of accuracy and efficiency.     

An improved error handling method in SNMPv2 protocol operations

SNMPv1 is very successful due to its simplicity,flexibility,and extensibility,However,simplicity can also be a drawback,In SNMPv1,a manager can only reteieve one piece of information at a time,and an agent merely reports one protocol operation.These two interactions enlarge the number of protocol exchanges between a manager and an agent.SNMPv2 permits the retrieval of large data blocks,but the errors can only be handled one by one.These errors continually occur in a multivendor network.This paper proposes an error handling method in SNMPv2 protocol operations.In this method,all errors within a received PDU(Protocol Data Unit) can be detected by the agent simultaneously.     

Common coupling and pointer variables,with application to a Linux case study

Both common coupling and pointer variables can exert a deleterious effect on the quality of software. The situation is exacerbated when global variables are assigned to pointer variables, that is, when an alias to a global variable is created. When this occurs, the number of global variables increases, and it becomes considerably harder to compute quality metrics correctly. However, unless aliasing is taken into account, variables may incorrectly appear to be unreferenced (neither defined nor used), or to be used without being defined. These ideas are illustrated by means of a case study of common coupling in the Linux kernel.