图像-文本相关性挖掘的Web图像聚类方法

为了实现Web图像检索结果的聚类,提出了一种Web图像的图聚类方法.首先定义了两种类型关联:单词与图像结点之间的异构链接以及单词结点之间的同构链接.为了克服传统的TF-IDF方法不能直接反映单词与图像之间的语义关联局限性,提出并定义了单词可见度(visibility)这一属性,并将其集成到传统的tf-idf模型中以挖掘单词-图像之间关联的权重.根据LDA(latent Dirichlet allocation)模型,单词-单词之间关联权重通过一个定义的主题相关度函数来计算.最后,应用复杂图聚类和二部图协同谱聚类等算法验证了在图模型上引入两种相关性关联的有效性,达到了改进了Web图像聚类性能的目的.     

An experimental study on the performance of enthalpy recovery system for building applications

In recent years, the attention of researchers has been focused on energy conservation demands due to the environmental impact of energy consumption throughout the built environment and global warming issue. Heat or energy recovery is one of the main energy-efficient systems that has been approved to overcome this problem. However, in conventional heat or energy recovery for building applications, only sensible energy has been recovered and neglecting the latent energy. In this work, enthalpy recovery system has been developed and the performances of sensible and latent energy have been investigated experimentally. The efficiency of close to 66% has been achieved for sensible energy and the latent energy efficiency was nearly 59% gained. Comparison of efficiency with effectiveness-NTU method showed both were in good agreement. Recovered energy was achieved up to 167 W at 3.0 m/s air velocity with 4.3 °C temperature difference.     

新型双变总成出厂试验台

介绍一种新型变速器、变矩器总成(简称双变总成)出厂试验台。采用装载机驱动桥上的夹钳组件自行改进后成为柔性夹钳,在输出端对双变总成进行制动加载试验。试验过程有手动、电脑全自动控制两种模式。供油系统可以实现对双变总成试验与热油清洗同步进行、液压油内金属粉末分离、污油分离净化处理及定期换油和循环用油等功能;试验台还设计了异响听诊器、隔噪罩,使试验过程安全环保、节能降耗,达到保护工人职业健康和降低试验成本目的。     

“一牵五”导引绳展放工艺分绳过滑车的实用技巧

送电线路架线工程导引绳展放施工中,采取＂一牵五＂展放工艺,一次将放线区段的五相导引绳放通,需要解决分绳过滑车的技术问题。恩施—水布垭Ⅲ回输电线路工程采用该方法提高效率明显,有较好的借鉴性。     

Data-efficient learning of robotic clothing assistance using Bayesian Gaussian process latent variable model

ABSTRACT

Motor-skill learning for complex robotic tasks is a challenging problem due to the high task variability. Robotic clothing assistance is one such challenging problem that can greatly improve the quality-of-life for the elderly and disabled. In this study, we propose a data-efficient representation to encode task-specific motor-skills of the robot using Bayesian nonparametric latent variable models. The effectivity of the proposed motor-skill representation is demonstrated in two ways: (1) through a real-time controller that can be used as a tool for learning from demonstration to impart novel skills to the robot and (2) by demonstrating that policy search reinforcement learning in such a task-specific latent space outperforms learning in the high-dimensional joint configuration space of the robot. We implement our proposed framework in a practical setting with a dual-arm robot performing clothing assistance tasks.     

Optimal intervention strategies for multiple objects affected by manifest and latent deterioration processes

In the existing infrastructure management systems, optimal interventions strategies (OISs) are determined for objects that deteriorate gradually (manifest deterioration process, MDPs), under the assumption that with appropriate inspection and intervention strategies the probability of failure of object can be neglected. Objects that deteriorate suddenly (latent deterioration process, LDPs), for example, due to scouring during a flood or earth movements during an earthquake are not considered. The determination of OISs for an object that deteriorates due to both MDPs and LDPs requires the consideration of both. The latter, however, means that the probability of failure of the object must be considered. In this article, a Markov model is presented that can be used to determine OISs for multiple objects of multiple types affected by uncorrelated MDPs and LDPs. The model is an extension of the model proposed by Mayet and Madanat (Incorporation of seismic considerations in bridge management systems. Computer-Aided Civil and Infrastructure Engineering, 17:185–193, 2002). In the model, a set of condition states (CSs) is used to describe the condition of objects of each type, where each set is composed of non-failure CSs and failure CSs. The probabilities of going from each non-failure CS to each failure CS are estimated using normalised fragility curves, and the probabilities of going from each non-failure CS to each non-failure CS are initially estimated using the Markov deterioration prediction model of Kobayashi, Kaito, and Lethanh (A Bayesian estimation method to improve deterioration prediction for infrastructure system with Markov chain model. International Journal of Architecture, Engineering and Construction, 1:1–13, 2012a) and later adjusted taking into consideration the probabilities of entering the failure CSs. The use of the model is demonstrated using a road link comprising one road section and one bridge.     

气固流化床密度的在线测控研究

在对气固流化床选煤系统被控对象特性分析研究的基础上，提出用逆系统控制方法解决具有非线性多变量特点的气固流化床密度控制问题，建立了相关数学模型，介绍了流化床密度逆控制系统和方法，并获得较好的控制精度。     

Solving method of generalized nonlinear dynamic least squares for data processing in building of digital mine

Data are very important to build the digital mine. Data come from many sources, have different types and temporal states. Relations between one class of data and the other one, or between data and unknown parameters are more nonlinear. The unknown parameters are non-random or random, among which the random parameters often dynamically vary with time. Therefore it is not accurate and reliable to process the data in building the digital mine with the classical least squares method or the method of the common nonlinear least squares. So a generalized nonlinear dynamic least squares method to process data in building the digital mine is put forward. In the meantime, the corresponding mathematical model is also given. The generalized nonlinear least squares problem is more complex than the common nonlinear least squares problem and its solution is more difficultly obtained because the dimensions of data and parameters in the former are bigger. So a new solution model and the method are put forward to solve the generalized nonlinear dynamic least squares problem. In fact, the problem can be converted to two sub-problems, each of which has a single variable. That is to say, a complex problem can be separated and then solved. So the dimension of unknown parameters can be reduced to its half, which simplifies the original high dimensional equations. The method lessens the calculating load and opens up a new way to process the data in building the digital mine, which have more sources, different types and more temporal states.     

螺旋分选机处理煤泥的效果分析

在讨论螺旋分选机理的基础上 ,通过试验证明 :当煤泥粒度在 3～ 0 1mm时 ,可利用螺旋分选法对煤泥进行有效分选 ,但需使用螺旋分级机或小直径的水介旋流器预先脱泥。它可提高精煤的技术经济性 ,提高煤泥中可燃物的回收率     

新兴选煤厂工艺改造

为适应选煤技术的发展,对原有选煤工艺进行技术改造,采用以无压给料三产品重介旋流器为主的重介系统,可提高分选效率,增加经济效益,并使选煤技术达到一个新水平。