变电站瓷支持件断裂故障及对策

变电站瓷支持件断裂故障的发生会给人身、设备及电网的安全运行造成严重危胁。以白银电网内发生的 5起瓷支持件断裂故障为例 ,分析了故障发生的可能原因 ,探讨了为防范此类故障发生应采取的措施。

非加载边支持件对加筋壁板稳定性的影响研究

以某型飞机机翼整体油箱壁板为研究对象,考虑非加载边支持结构的不同弹性约束方式对加筋壁板稳定性的影响,采用MSC/Nastran软件及SDA1.1软件,计算分析了加筋壁板受压时的屈曲临界应力。通过对计算结果进行比较分析,得出了适合该型飞机机翼油箱壁板稳定性的计算规律。

CJ12系列交流接触器触头支持件工艺改进及模具设计

CJ12系列交流接触能触头支持件轴孔以往一般均采用钻孔加工,在《低压电器》1988年第四期“CJ12系列交流接触器的触头支持件钻孔工艺的改进”一文中,作者对触头支持件钻孔工艺进行了认真的探讨。大家知道,绝缘零件压出的孔,机械强度、绝缘性能均比钻出孔来得好。此工件采用钻孔加工,势必增加零件加工工序和工艺流通量,增加影响产品质量的潜在因素,而且制约生产效率的提高;

Hierarchical decision-making system for real-time freeway incident response

The artificial intelligence technique is used to generate a freeway incident response plan. The incident response framework based on rule-based reasoning, case-based reasoning and Bayesian networks reasoning is presented. First, a freeway incident management system （RK-IMS） based on rule-based reasoning is developed and applied for incident management in the northern section of the Nanjing-Lianyunguang Freeway. Then, field data from the two-year long operations of the RK-IMS are analyzed. Representations of incident case structures and Bayesian networks（BNs） structures related to incident responses are deduced. Finally, the k-nearest neighbor （k-NN） algorithm is applied to calculate the similarities of the cases. The preplan generation and the control strategy by integrating the k-NN algorithm are also developed. The model is validated by using incident data of the year 2006 from the RK-IMS. The comparison results indicate that the proposed algorithm is accurate and reliable.

利用USB-FSG实现PDA移动U盘功能

论述了利用USB及设备客户驱动程序(FSG)将PDA模拟成移动U盘的方法。分析了Linux2.6内核代码树中FSG客户驱动程序的结构,实现了嵌入式处理器S3C2410A的USB从设备控制器驱动程序。

模具加工

型腔模具由功能件和支持件组成。在注塑模和压铸模中,功能件是型腔和型心,在锻模中是型腔,在冲模中通常是冲头和型腔。型腔和型心一般由整块的模具钢加工而成。然而,大型冲模的冲头和冲模常常铸造成接近最终几何形状,且留有加工馀量。在一些情况下,锻模和注塑模也用冷和热挤压制成。支持件一般为标准件,它能保证模具安装的总体功能,如表现在找正。

A front-end automation tool supporting design, verification and reuse of SOC

This paper describes an in-house developed language tool called VPerl used in developing a 250 MHz 32-bit high-performance low power embedded CPU core. The authors showed that use of this tool can compress the Verilog code by more than a factor of 5, increase the efficiency of the front-end design, reduce the bug rate significantly. This tool can be used to enhance the reusability of an intellectual property model, and facilitate porting design for different platforms.

Application of fulllength anchor support technology in a largesection roadway under complicated geological conditions

Coal roadway support is the foundation and strong guarantee of safe coal production. With the FLAC3D numerical simulation, the roadway fulllength anchor support mechanism was studied, and the full-length anchor forcetransferring mechanism and stressfield distribution formed by roadway surrounding rocks were analyzed, which will provide a scientific basis for a support technology in large-section roadways under complicated geological conditions and lay a foundation for the popularization and application of a full-length anchor support system under special geological conditions.

RESEARCH ON COLOR CONSTANCY UNDER OPEN ILLUMINATION CONDITIONS

Color information plays a key role in the research fields of object recognition and image retrieval. However, the actual color varies by the conditions of illumination, especially the open natural daylight. Four different color constancy schemes are proposed in the paper to minimize the effects of open illumination conditions. (1) The color constancy scheme based on the image statistics is proposed, which includes the color cast detection and removal. (2) The color constancy scheme based on the color temperature curve is proposed, which combines Gaussian model with linear fitting to estimate color temperature curve. (3) The color constancy scheme based on the double exposure theory is proposed, which is able to reproduce a color image under typical illumination. (4) According to the concepts of supervised learning, the supervised color constancy scheme is proposed. The transformation of color values from unknown illumination to typical illumination is solved by improved Support Vector Regression (SVR).

Predicting the fault-proneness of class hierarchy in object-oriented software using a layered kernel

A novel kernel learning method for object-oriented （00） software fault prediction is proposed in this paper. With this method, each set of classes that has inheritance relation named class hierarchy, is treated as an elemental software model. A layered kernel is introduced to handle the tree data structure corresponding to the class hierarchy models. This method was vali- dated using both an artificial dataset and a case of industrial software from the optical communication field. Preliminary experi- ments showed that our approach is very effective in learning structured data and outperforms the traditional support vector learning methods in accurately and correctly predicting the fault-prone class hierarchy model in real-life OO software.

Network Security Incidents Frequency Prediction Based on Improved Genetic Algorithm and LSSVM

Since the frequency of network security incidents is nonlinear,traditional prediction methods such as ARMA,Gray systems are difficult to deal with the problem.When the size of sample is small,methods based on artificial neural network may not reach a high degree of preciseness.Least Squares Support Vector Machines (LSSVM) is a kind of machine learning methods based on the statistics learning theory,it can be applied to solve small sample and non-linear problems very well.This paper applied LSSVM to predict the occur frequency of network security incidents.To improve the accuracy,it used an improved genetic algorithm to optimize the parameters of LSSVM.Verified by real data sets,the improved genetic algorithm (IGA) converges faster than the simple genetic algorithm (SGA),and has a higher efficiency in the optimization procedure.Specially,the optimized LSSVM model worked very well on the prediction of frequency of network security incidents.

Development of Ocean Energy Test Field in China

The mission of the test field is to provide technical support to associates. The paper present the development of OE （ocean energy） field in China and outline the new technologies and best practice, resources conditions, construction targets, generation device testing and standard system. The main purpose is to improve the level of China＇s ocean energy development. The Chinese ocean energy test field, which was started in 2008, involved a development divided in three phases （the overall design, construction, demonstration）. The methodology followed in the individual phases is described, and the standardization of testing wave and tidal current energy devices is introduced. The research revealed the development and the shortage of ocean energy technology in China.

Statistical Reasoning of High School Teachers in a Computer Environment of Dynamic Data Exploration

Results of a research about statistical reasoning that six high school teachers developed in a computer environment are presented in this article. A sequence of three activities with the support of software Fathom was presented to the teachers in a course to investigate about the reasoning that teachers develop about the data analysis, particularly about the distribution concept, that involves important concepts such as averages, variability and graphics representations. The design of the activities was planned so that the teachers analyzed quantitative variables separately first, and later made an analysis of a qualitative variable versus a quantitative variable with the objective of establishing comparisons between distributions and use concepts as averages, variability, shape and outliers. The instructions in each activity indicated to the teachers to use all the resources of the software that were necessary to make the complete analysis and respond to certain questions that pretended to capture the type of representations they used to answer. The results indicate that despite the abundance of representations provided by the software, teachers focu,; on the calculation of averages to describe and compare distributions, rather than on the important properties of data such as variability, ：shape and outliers. Many teachers were able to build interesting graphs reflecting important properties of the data, but cannot use them 1：o support data analysis. Hence, it is necessary to extend the teachers＇ understanding on data analysis so they can take advantage of the cognitive potential that computer tools to offer.

The Body in Old Age and Dependency： A Territory of Threat and Uncertainty

This paper explores the image of the body in physically dependent elderly men and women and the way in which this image reconfigures their identity creating new meanings. In old age, the body becomes related with illness, with disablement and with its own material finiteness. Representations of the body are thus constructed around pain, deficiency, and fragility. The research was carried out from a qualitative perspective, performing in-depth interviews, with participant observation and a subject ID card as data collecting techniques. The identity of the interviewees who consented to be recorded was protected. The data were analyzed constructing concepts and theoretical and empirical categories with the support of the Etnograph V.5 software for qualitative data. The findings reflect discourses on the body that turn on its deterioration and limitations that prevent old people from functioning adequately in life. Metaphors were identified telling of a sense of＂deteriorated identity＂; most participants saw themselves as ＂a burden＂. They also showed symptoms of annoyance and shame regarding their sick or fragile bodies, as well as a constant memory of the healthy or ＂ideal＂ body of the past, which is hegemonic in our culture.

英特尔发布第二代迅驰

国内31家厂商将应用。1月19日下午4时30分，英特尔公司在北京发布了其用于笔记本电脑的最新英特尔迅驰移动计算技术。英特尔副总裁、亚太区总经理蒋安邦宣布，这一全新移动平台配备了丰富的娱乐与办公特性，包括一流的图形显示能力、更出色的响应能力和更强大的安全选件支持等，同时还有诸如集成无线接入网访问和耐久电池使用时间等重要性能。

Organizational Data Management： Proposing a Metadata-Driven Data Warehouse （DW） Model

Discussing the matter of organizational data management implies, almost automatically, the concept of data warehousing as one of the most important parts of decision support system （DSS）, as it supports the integration of information management by aggregating all data formats and provisioning external systems with consistent data content and flows, together with the metadata concept, as one of the easiest ways of integration for software and database systems. Since organizational data management uses the metadata channel for creating a bi-directional flow, when correctly managed, metadata can save both time and resources for organizations. This paperI will focus on providing theoretical aspects of the two concepts, together with a short brief over a proposed model of design for an organizational management tool.

Case study for investigating groundwater and the future of mountain spring discharges in Southern Italy

Groundwater extraction is used to alleviate drought in many habitats. However, widespread drought decreases spring discharge and there is a need to integrate climate change research into resource management and action. Accurate estimates of groundwater discharge may be valuable in improving decision support systems of hydrogeological resource exploitation. The present study performs a forecast for groundwater discharge in Aquifer?s Cervialto Mountains(southern Italy). A time series starting in 1883 was the basis for longterm predictions. An Ensemble Discharge Prediction(EDis P) was applied, and the progress of the discharge ensemble forecast was inferred with the aid of an Exponential Smoothing(ES) model initialized at different annual times. EDisP-ES hindcast model experiments were tested, and discharge plume-patterns forecast was assessed with horizon placed in the year 2044. A 46-year cycle pattern was identified by comparing simulations and observations, which is essential for the forecasting purpose. ED is P-ES performed an ensemble mean path for the coming decades that indicates a discharge regime within ± 1 standard deviation around the mean value of 4.1 m^3 s^(-1). These fluctuations are comparable with those observed in the period 1961-1980 and further back, with changepoints detectable around the years 2025 and 2035. Temporary drought conditions are expected after the year 2030.

Do Media Sentiments Reflect Economic Indices？

Forecasting economic indices on the basis of information extracted from text documents, like newspaper articles is an attractive idea. With the help of text mining techniques, in particular sentiment analysis, we evaluate the tone of individual New York Times （NYT） articles and compare our results to the Chicago Fed National Activity Index （CFNAI）. In this paper, we present a simple, intuitive framework to derive sentiment scores from text documents In particular articles are tagged based on terms and their connotated sentiment. Subsequently, we forecast the CFNAI movements via support vector machines （SVM） trained on a subset of the observed sentiment scores. We apply our model into two different data sets, the whole NYT articles and the articles categorized as NYT business news. On both data sets, we applied a simple performance measure to evaluate forecasting accuracy of the CFNAI

Recognition of Chinese Organization Name Using Co-training

Chinese organization name recognition is hard and important in natural language processing. To reduce tagged corpus and use untagged corpus,we presented combing Co-training with support vector machines (SVM) and conditional random fields (CRF) to improve recognition results. Based on principles of uncorrelated and compatible,we constructed different classifiers from different views within SVM or CRF alone and combination of these two models. And we modified a heuristic untagged samples selection algorithm to reduce time complexity. Experimental results show that under the same tagged data,Co-training has 10% F-measure higher than using SVM or CRF alone; under the same F-measure,Co-training saves at most 70% of tagged data to achieve the same performance.

Addressing Barriers to Off-Grid Rural Electrification in Africa： The Botswana and Namibia Experience

Africa is the most affected continent with energy poverty. Wood fuel is the main source of energy for remote and rural populations. At the same time, most parts of Africa are endowed with abundant solar energy. Together with a highly developed global solar industry and ever declining cost of solar systems, solar has unprecedented potential to combat energy poverty in Africa. However, dissemination of solar systems is faced with a number of barriers and challenges amongst where sustainable financing and lack of technological support for installation, maintenance and repair of systems are the most significant. This paper discusses the cases of Botswana and Namibia where financing schemes based on different partnership models have been successfully implemented. These schemes have the potential for success and adaptation by countries with similar socio-economic conditions. We conclude with recommendations on training programs for different levels of intervention to overcome the lack of technological support.