基于最小二乘支持向量机的焦炉煤气柜位预测模型及应用

针对焦炉煤气柜位难以机理预测问题,通过分析煤气的产消及柜位变化特点,建立了基于最小二乘支持向量机的柜位预测模型.构造梯度网格搜索算法优选模型参数和大样本筛选方法选取训练样本,从而提高了预测精度.上海宝钢实际煤气数据的仿真结果表明,所建模型参数选取耗时少,预测效果良好,可为煤气的平衡调度提供科学指导.     

煤气柜柜位检测及活塞平衡系统的实践与探索

煤气柜的柜位检测及活塞平衡检测是气柜安全运行的重要依据。先进的测量技术、科学的检测方法、及时的维护可以有效保证气柜的安全稳定。     

安全栅和避雷器在煤气柜中的应用

煤气柜及煤气输配系统是一个复杂又容易受到外界因素影响的系统,是作为工业与民用储备气体燃料的重要设备。本文叙述了煤气柜的安全防护措施,重点介绍了安全栅和避雷器的作用以及它们在煤气柜仪表系统中的应用。     

高炉煤气流分布过程的多算法融合预测模型

在高炉生产中,准确的预测高炉煤气流分布状况将有助于保证高炉的稳定顺行.针对传统高炉煤气流预测模型的缺陷,本文提出了一种将带遗传因子的自回归移动平均模型(FF-ARMAX)和基于限定记忆的正则化极限学习机(RFMLS-RELM)相结合的高炉煤气流多步预测模型.在数据预处理方面,建立FF-ARMAX模型消除原始数据中的测量误差,同时采用傅里叶变换法消除数据中叠加的环境噪声.最后采用RFMLS-RELM算法进行多步预测,对比试验表明,该算法在应用于煤气流预测时,预测精度更高,适用于对煤气流分布状况的多步预测.多步预测实验结果表明,该模型虽然仍旧无法完全解决预测误差随预测步数的增加而不断叠加的问题,但相较于其他传统预测模型能够实现更好的预测效果和更高的预测精度,为高炉操作人员分析炉况提供了有效的帮助和支持.     

基于SVR的煤矿地下水位预测模型

将SVR(Support Vector Regression)回归算法应用于煤矿地下水位预测.基于SVR回归算法分析.筛选了合适的核函数及其参数,提出了基于SVR回归算法的煤矿地下水位预测模型,并根据所选矿区的自然地理和水文地质情况.确定了预测输入因子和输出因子.数值实验表明:预测结果与实际测量结果具有较好的一致性.验证了煤矿地下水位预测模型是有效的.为煤矿地下水位的预测提供了一个新的有效方法.     

基于数据的改进回声状态网络在高炉煤气发生量预测中的应用

以钢铁企业高炉煤气系统这一复杂生产过程为背景, 针对高炉煤气发生量的预测问题, 提出一种基于数据的网络模型预测方法. 鉴于生产数据含噪高的特点, 采用经验模态分解将历史数据分解为若干独立的固有模态函数, 将小尺度函数经低通滤波器自适应去噪后, 再对数据重构以建立预测模型. 在建模过程中提出一种改进的回声状态网络, 通过奇异值分解求取网络输出权值, 克服了线性回归算法出现的病态问题, 提高了模型的预测精度. 现场实际数据预测结果表明所提出方法的有效性, 为制定煤气管网平衡调度方案提供科学的决策支持.     

编码器在煤气柜柜容检测系统中的应用

柜容监测是保证干式煤气柜安全运行的重要控制措施。本文以莱钢4万M3干式煤气柜干式煤气柜为例,重点介绍了基于编码器应用方式下的煤气柜柜容检测系统的原理及运行特点。     

湿式煤气柜柜位的高精确度光纤遥测技术

介绍了高精度光纤柜位遥测技术的原理、独特结构和为弥补测量钢索长度与气柜真实高度的误差而采用的位置补偿与CPU修正.还介绍了为提高可靠性, 在零部件、光传导、显示仪表所采取的措施.     

基于径向基函数的多目标回归特征构建算法

多目标回归（MTR）是一种针对单个样本同时具有多个连续型输出的回归问题。现有的多目标回归算法都基于同一个特征空间学习回归模型,而忽略了各输出目标本身的特殊性质。针对这一问题,提出基于径向基函数的多目标回归特征构建算法。首先,将各目标的输出作为额外的特征对各输出目标进行聚类,根据聚类中心在原始特征空间构成了目标特定特征空间的基;然后,通过径向基函数将原始特征空间映射到目标特定特征空间,构造目标特定的特征,并基于这些目标特定特征构建各输出目标的基回归模型;最后,用基回归模型的输出组成隐藏空间,采用低秩学习算法在其中发掘和利用输出目标之间的关联。在18个多目标回归数据集上进行实验,并把所提算法与层叠单目标回归（SST）、回归器链集成（ERC）、多层、多目标回归（MMR）等经典的多目标回归算法进行对比,结果表明所提算法在14个数据集上都取得了最好的性能,并且在18个数据集上的平均性能排序居第一位。可见所提算法构建的目标特定特征能够提高各输出目标的预测准确性,并结合低秩学习得到输出目标间的关联性以从整体上提升多目标回归的预测性能。     

具有多分段损失函数的多输出支持向量机回归

对多维输入、多维输出数据的回归,可以采用多输出支持向量机回归算法.本文介绍具有多分段损失函数的多输出支持向量机回归,其损失函数对落在不同区间的误差值采用不同的惩罚函数形式,并利用变权迭代算法,给出回归函数权系数和偏置的迭代公式.仿真实验表明,该算法的精确性和计算工作量都优于使用多个单输出的支持向量机回归算法.     

Only connect: teaching, technology and telesis

Abstract This paper describes an approach to the design of interactive multimedia materials being developed in a European Community project. The developmental process is seen as a dialogue between technologists and teachers. This dialogue is often problematic because of the differences in training, experience and culture between them. Conditions needed for fruitful dialogue are described and the generic model for learning design used in the project is explained.     

European Community policy and the market

Abstract This paper starts with some reflections on the policy considerations and priorities which are shaping European Commission (EC) research programmes. Then it attempts to position the current projects which seek to capitalise on information and communications technologies for learning in relation to these priorities and the apparent realities of the marketplace. It concludes that while there are grounds to be optimistic about the contribution EC programmes can make to the efficiency and standard of education and training, they are still too technology driven.     

一种自适应子融合集成多分类器方法

融合集成方法已经广泛应用在模式识别领域,然而一些基分类器实时性能稳定性较差,导致多分类器融合性能差,针对上述问题本文提出了一种新的基于多分类器的子融合集成分类器系统。该方法考虑在度量层融合层次之上通过对各类基多分类器进行动态选择,票数最多的类别作为融合系统中对特征向量识别的类别,构成一种新的自适应子融合集成分类器方法。实验表明,该方法比传统的分类器以及分类融合方法识别准确率明显更高,具有更好的鲁棒性。     

煤矿井下安全监控分站的设计及其仿真实现

为了设计一种具有低成本、低功耗、易操作、功能强且可靠性高的煤矿井下安全分站,针对煤矿安全生产实际,文章提出了采用MCS-51系列单片机为核心、具有CAN总线通信接口的煤矿井下安全监控分站的设计方案;首先给出煤矿井下安全监控分站的整体构架设计,然后着重阐述模拟量输入信号处理系统的设计过程,最后说明单片机最小系统及其键盘、显示、报警、通信等各个组成部分的设计;为验证设计方案的可行性与有效性,使用Proteus软件对设计内容进行仿真验证,设计的煤矿井下安全监控分站具有瓦斯、温度等模拟量参数超标报警功能和电机开停、风门开闭等开关量指示功能;仿真结果表明:设计的煤矿井下安全监控分站具有一定的实际应用价值.     

Avoiding semantic and temporal gaps in developing software intensive systems

Development of software intensive systems (systems) in practice involves a series of self-contained phases for the lifecycle of a system. Semantic and temporal gaps, which occur among phases and among developer disciplines within and across phases, hinder the ongoing development of a system because of the interdependencies among phases and among disciplines. Such gaps are magnified among systems that are developed at different times by different development teams, which may limit reuse of artifacts of systems development and interoperability among the systems. This article discusses such gaps and a systems development process for avoiding them.     

Designing economic np control charts: A programmed simulation approach

This paper presents control charts models and the necessary simulation software for the location of economic values of the control parameters. The simulation program is written in FORTRAN, requires only 10K of main storage, and can run on most mini and micro computers. Two models are presented - one describes the process when it is operating at full capacity and the other when the process is operating under capacity. The models allow the product quality to deteriorate to a further level before an existing out-of-control state is detected, and they can also be used in situations where no prior knowledge exists of the out-of-control causes and the resulting proportion defectives.     

The development of robot art

Going through a few examples of robot artists who are recognized worldwide, we try to analyze the deepest meaning of what is called “robot art” and the related art field definition. We also try to highlight its well-marked borders, such as kinetic sculptures, kinetic art, cyber art, and cyberpunk. A brief excursion into the importance of the context, the message, and its semiotics is also provided, case by case, together with a few hints on the history of this discipline in the light of an artistic perspective. Therefore, the aim of this article is to try to summarize the main characteristics that might classify robot art as a unique and innovative discipline, and to track down some of the principles by which a robotic artifact can or cannot be considered an art piece in terms of social, cultural, and strictly artistic interest. This work was presented in part at the 13th International Symposium on Artificial Life and Robotics, Oita, Japan, January 31–February 2, 2008     

Explanation and prediction: an architecture for default and abductive reasoning

Although there are many arguments that logic is an appropriate tool for artificial intelligence, there has been a perceived problem with the monotonicity of classical logic. This paper elaborates on the idea that reasoning should be viewed as theory formation where logic tells us the consequences of our assumptions. The two activities of predicting what is expected to be true and explaining observations are considered in a simple theory formation framework. Properties of each activity are discussed, along with a number of proposals as to what should be predicted or accepted as reasonable explanations. An architecture is proposed to combine explanation and prediction into one coherent framework. Algorithms used to implement the system as well as examples from a running implementation are given.     

View-based model-driven architecture for enhancing maintainability of data access services

In modern service-oriented architectures, database access is done by a special type of services, the so-called data access services (DAS). Though, particularly in data-intensive applications, using and developing DAS are very common today, the link between the DAS and their implementation, e.g. a layer of data access objects (DAOs) encapsulating the database queries, still is not sufficiently elaborated, yet. As a result, as the number of DAS grows, finding the desired DAS for reuse and/or associated documentation can become an impossible task. In this paper we focus on bridging this gap between the DAS and their implementation by presenting a view-based, model-driven data access architecture (VMDA) managing models of the DAS, DAOs and database queries in a queryable manner. Our models support tailored views of different stakeholders and are scalable with all types of DAS implementations. In this paper we show that our view-based and model driven architecture approach can enhance software development productivity and maintainability by improving DAS documentation. Moreover, our VMDA opens a wide range of applications such as evaluating DAS usage for DAS performance optimization. Furthermore, we provide tool support and illustrate the applicability of our VMDA in a large-scale case study. Finally, we quantitatively prove that our approach performs with acceptable response times.     

A pragmatic multi-method investigation of discrepant technological events: Coping,attributions, and ‘accidental’ learning

Discrepant technological events or situations that entail a problem, a misunderstanding or a difficulty with the Information Technology (IT) being employed, are common in the workplace, and can lead to frustration and avoidance behaviors. Little is known, however, about how individuals cope with these events. This paper examines these events by using a multi-method pragmatic approach informed by coping theory. The results of two studies – a critical incident study and an experiment – serve to build and test, respectively, a theoretical model that posits that individuals use a variety of strategies when dealing with these events: they experience negative emotions, make external attributions, and adopt engagement coping strategies directed at solving the event, eventually switching to a disengagement coping strategy when they feel they have no control over the situation. Furthermore, users’ efforts may result in ‘accidental’ learning as they try to overcome the discrepant IT events through engagement coping. The paper ends with a discussion of the results in light of existing literature, future opportunities for research, and implications for practice.