基于多传感器数据融合技术的瓦斯监测系统

瓦斯灾害是煤矿中最严重的灾害之一。最近几年瓦斯事故发生频繁，瓦斯爆炸夺走了许多矿井工人的生命，给国家造成了重大经济损失。对矿井瓦斯预测预报和对瓦斯进行控制，就能大大地减少瓦斯爆炸事故和矿工的伤亡。为此采用多传感器数据融合方法，对瓦斯、温度、风速等信号数据采样，提取它们特征量，对数据进行数据融合，实现对矿井瓦斯进行实时监测、预测控制，为矿井安全生产提供了有力的保障。并经过实验已取得较好的效果。     

影响瓦斯传感器稳定性的原因及改善途径

通过对影响瓦斯传感器稳定性及测量精度原因分析，提出了从仪器选型、参数调试、维护保养、校验方法等几个方面提高传感器的稳定性和安全可靠性的途径     

瓦斯电闭锁技术之我见

从煤矿不断发生瓦斯爆炸事故的现状出发，针对煤矿的实际情况，就《规程》要求的瓦斯电闭锁装置在现场的使用情况进行了调查和分析，对现在普遍使用的煤矿安全生产监测监控系统中的瓦斯电闭锁技术提出个人见解。     

基于时间序列的矿井瓦斯涌出量预测方法

由于矿井瓦斯浓度的变化受多种因素共同影响,矿井瓦斯涌出量预测经常出现无法获得一部分变量的情况。针对该问题,提出了一种基于时间序列的矿井瓦斯涌出量预测方法,详细介绍了采用时间序列AR模型对矿井瓦斯涌出量进行预测的具体实现。实验结果表明,该方法对矿井瓦斯涌出量的预测误差率为4.3%,预测比较可靠。     

安全监测系统中风电瓦斯闭锁的实现方法

风电瓦斯闭锁是防止瓦斯事故的一项重要措施，《煤矿安全规程》执行说明对两闭锁的主要内容作了４条规定。文章介绍了如何利用安全监测系统现有的软、硬件，通过各种传感器与断电器的安设、中心站的编辑定义设置、井下供电开关的特定连接，以完全实现４条规定的闭锁功能。     

基于粗神经网络的瓦斯预测专家系统

瓦斯爆炸是我国煤矿生产中最常见的灾害事故,目前治理瓦斯爆炸的主要手段是预测瓦斯突出。以专家系统为核心,利用神经网络强的自学习能力来建立专家系统的知识库,并使用粗糙集对神经网络的构造和学习所需的样本数据进行预处理,构建了基于粗神经网络的瓦斯预测专家系统,详细介绍了系统的总体结构和工作过程,并以采集到的实时数据进行仿真实验,结果表明该系统有较好的预测能力。提高了瓦斯预测的准确性和及时性。     

矿井瓦斯地质智能预警平台的建设与应用

针对煤矿企业瓦斯地质资料缺乏有效管理、瓦斯地质图更新困难及利用率不高的现状,从瓦斯地质预警原理、数据库、平台结构、功能模块、关键技术、预警保障机制等方面介绍了一种矿井瓦斯地质智能预警平台建设方案。该平台采用GIS技术建立瓦斯地质空间数据库,实现了瓦斯地质相关数据的集中、有效管理及瓦斯地质图的自动更新;采用WCF技术实现了跨图形平台的瓦斯地质相关图件的数据共享;以瓦斯地质学理论为指导,形成了一套完整的瓦斯地质预警指标体系,综合分析工作面前方的瓦斯赋存、地质构造、煤层赋存等情况,实现了瓦斯地质的实时超前预警。应用结果表明,该平台各项预警结果与现场实测情况完全一致,效果良好。     

基于FPGA的煤矿井下瓦斯监测系统的设计

针对目前一般的瓦斯监测系统存在测量精度低、稳定性及实时性差,而测量精度高、稳定性及实时性强的瓦斯监测系统的开发和维护费用又较高的问题,提出了一种基于FPGA的煤矿井下瓦斯监测系统的设计方案;详细介绍了该系统的硬件及软件设计。模拟测试结果表明,该系统具有监测精度高、稳定性好、响应速度快、调试运行费用低等特点。     

煤矿瓦斯预测专家系统中基于粗集的知识获取方法

针对现有煤矿瓦斯预测专家系统因没有新知识获取措施及知识自更新功能而预测效果不佳的问题,提出了基于粗集的知识获取方法。该方法首先建立瓦斯数据与瓦斯突出强度之间关系的预测样本集;然后运用粗糙集的连续属性离散化、属性约简以及规则提取算法,从大量的预测样本集中自动获取预测知识,并将预测知识存储于专家系统知识库中;最后基于推理机实现煤矿瓦斯突出的实时预测。实例分析验证了该方法在煤矿瓦斯突出预测专家系统知识获取中的有效性和实用性。     

瓦斯地质动态分析及瓦斯涌出实时预警系统

为了防止煤与瓦斯突出事故,提高矿井的安全保障能力,结合新元公司实际情况,建立了瓦斯地质动态分析及瓦斯涌出实时预警系统。在统计和分析该公司矿井瓦斯地质相关资料的基础上,创建了瓦斯地质空间数据库,采用动态分析技术筛选出了影响瓦斯赋存的主控因素,自动绘制了瓦斯参数等值线并划分出突出危险区。对突出危险区内的工作面进行重点关注,考察其瓦斯涌出特征及预警指标,并与瓦斯监测系统无缝连接,实现了非接触式连续预警。     

Introducing a sales order processing system: the importance of human,organizational and ergonomic factors*

Abstract

This paper is a follow-up to an earlier study (Rowe 1985) and considers the addition of a computerized sales order processing system at Barrington's food factory. The earlier stock control system had not been without its problems, and the lessons learned from this experience enabled management to avoid repeating certain mistakes with regard to planning, office provision and training. However, once in operation, the new system also experienced a number of shortcomings, principally because management still overlooked important human, organizational and ergonomic factors. As the previous article pointed out, these factors are often less visible to management, and it resulted in problems with regard to day-to-day operations, office reorganization, work roles and inter-departmental communication. The concluding section advocates the abandonment of ‘technology-led system design’ in favour of a more evolutionary approach.     

E-banking in Jordan

The reasons why some customers use e-banking systems whereas others do not is the problem that motivated this study. This study examines the factors underlying customers' technology adoption based on the technology acceptance model (TAM). E-banking adoption is studied from the information systems acceptance point of view; banking customers use the information system to make financial transactions and hence more knowledge of the factors that affect information technology adoption is useful to better understand and facilitate their acceptance. Perceived ease of use, perceived usefulness, subjective norms, security and trust, Internet experience and enjoyment are the important factors that affect customers' adoption of e-banking in Jordan.     

一种改进风险矩阵法在网络系统风险评估中的应用

基于对某高校校园网络系统风险及其影响因素的分析,运用改进的风险矩阵法对校园网络系统七大风险要素进行评价,并构建了应用于校园网络系统风险评估的风险矩阵,设计了利用风险矩阵进行风险评估的基本流程,以期为该高校校园网络系统的风险评估提供一种科学、合理且有效的评估方法。通过实例应用表明该方法的计算结果相对传统方法更加合理,评价更为客观。     

Analytical modeling of a multi-queue nodes network router

This paper presents the derivation of an analytical model for a multi-queue nodes network router, which is referred to as the multi-queue nodes (mQN) model. In this model, expressions are derived to calculate two performance metrics, namely, the queue node and system utilization factors. In order to demonstrate the flexibility and effectiveness of the mQN model in analyzing the performance of an mQN network router, two scenarios are performed. These scenarios investigated the variation of queue nodes and system utilization factors against queue nodes dropping probability for various system sizes and packets arrival routing probabilities. The performed scenarios demonstrated that the mQN analytical model is more flexible and effective when compared with experimental tests and computer simulations in assessing the performance of an mQN network router.     

Business-IT alignment as a coevolution process: An empirical study

In this paper, we provide a detailed insight into the complex coevolution dynamics that shape the alignment process by analyzing how different mechanisms and factors are mutually related in complex networks of feedback loops. We combine insights from the literature on alignment as a (coevolution) process with literature on alignment as a state to identify the different components of the organization’s socio-technical system that influence alignment, the relationships between these components, and the role that different factors play. In our empirical analysis (based multiple case studies) we then focus on the actual interplay between relevant factors. Using a causal loop diagramming approach - based on system dynamics – we analyze how these factors mutually influence each other through various feedback loops and thus shape the alignment process. We extend previous literature on the alignment process by identifying the way that the complex interplay between different factors shapes this process. By identifying the feedback loops between relevant factors, we also provide more insight into the complex bottom-up and top-down dynamics that shape the process, and that provide explanations for why this process is characterized by transitions between alignment and misalignment. For practice, our paper provides a deeper understanding of the alignment process, which is a precondition for improving alignment practices in organisations.     

Sustainable development of a suggestion system: Factors influencing improvement activities in a confectionary company

Although the use of continuous improvement (CI) is widespread today, many organizations face problems maintaining high and sustained employee involvement in such programs. The purpose of this study was to identify factors influencing employee involvement in submitting suggestions within a suggestion system in a Swedish production company. The company had maintained a successful suggestion system for about 10 years. The study builds on a database containing all the suggestions submitted (2343 in number) within the suggestion system. The following factors were identified to influence employee involvement in submitting suggestions and hence the sustainability of the suggestion system as well: (a) Situations when the employees had a personal benefit from submitting suggestions, e.g., concerning their own work environment, contributed to long‐term sustainability of the system; (b) campaigns emphasizing different themes encouraged employees to become more active within the suggestion system; (c) employees having some of their suggestions rejected were more active in submitting suggestions than employees having most suggestions rejected or accepted; (d) a high monetary reward (80 euros and above) was not found favorable for submitting new suggestions, compared to lower rewards; (e) increased support of group suggestions contributed to a sustained and high level of activity of the suggestion system. © 2007 Wiley Periodicals, Inc. Hum Factors Man 17: 79–94, 2007.     

基于多启发式信息融合的攻击路径发现算法研究

攻击路径发现对于提高信息系统安全具有重要意义,传统攻击路径发现技术存在考虑因素有限以及可扩展性不高的问题,导致其在网络攻击复杂化和网络规模扩大化的趋势下应用价值有限.针对该问题,本文提出一种基于多启发式信息融合的攻击路径发现算法,该算法结合攻击路径发现背景知识,将漏洞威胁程度,漏洞成功率以及主机资产作为启发式函数计算依...     

Self-healing systems — survey and synthesis

As modern software-based systems and applications gain in versatility and functionality, the ability to manage inconsistent resources and service disparate user requirements becomes increasingly imperative. Furthermore, as systems increase in complexity, rectification of system faults and recovery from malicious attacks become more difficult, labor-intensive, expensive, and error-prone. These factors have actuated research dealing with the concept of self-healing systems. Self-healing systems attempt to “heal” themselves in the sense of recovering from faults and regaining normative performance levels independently the concept derives from the manner in which a biological system heals a wound. Such systems employ models, whether external or internal, to monitor system behavior and use inputs obtaining therefore to adapt themselves to the run-time environment. Researchers have approached this concept from several different angles this paper surveys research in this field and proposes a strategy of synthesis and classification.     

Accelerating dissipative particle dynamics with multiple GPUs

Dissipative particle dynamics (DPD) simulation is implemented on multiple GPUs by using NVIDIA’s Compute Unified Device Architecture (CUDA) in this paper. Data communication between each GPU is executed based on the POSIX thread. Compared with the single-GPU implementation, this implementation can provide faster computation speed and more storage space to perform simulations on a significant larger system. In benchmark, the performance of GPUs is compared with that of Material Studio running on a single CPU core. We can achieve more than 90x speedup by using three C2050 GPUs to perform simulations on an 80∗80∗80 system. This implementation is applied to the study on the dispersancy of lubricant succinimide dispersants. A series of simulations are performed on lubricant–soot–dispersant systems to study the impact factors including concentration and interaction with lubricant on the dispersancy, and the simulation results are agreed with the study in our present work.     

复杂环境下主导干扰来源快速诊断方法

随着装备系统中电子设备的频带日益加宽,功率逐渐增大,灵敏度也不断提高,各种电磁敏感设备暴露在越来越复杂的电磁环境下。尤其在宽带接收系统中,用频设备带外发射,天线旁瓣效应等因素的存在,使得即使频率规划良好、天线布局规范的系统也会存在潜在的电磁兼容问题。在多个用频设备同时干扰一个宽带接收系统时,由于电磁环境复杂,考虑因素较多,目前还没有一个从整个系统角度,针对性强,行之有效的快速诊断优化方法。本文通过拟合环境中等效噪声干扰,再还原定位到对应频段主导噪声干扰来源,使得故障定位更准确、优化措施更高效。