Web Data Aggregation in MOLAP： Approach,Language, and Implementation

This paper investigates the Web data aggregation issues in multidimensional on-line analytical processing (MOLAP) and presents a rule-driven aggregation approach. The core of the approach is defining aggregate rules. To define the rules for reading warehouse data and computing aggregates, a rule definition languagearray aggregation language (AAL) is developed. This language treats an array as a function from indexes to values and provides syntax and semantics based on monads. External functions can be called in aggregation rules to specify array reading, writing, and aggregating. Based on the features of AAL, array operations are unified as function operations, which can be easily expressed and automatically evaluated. To implement the aggregation approach, a processor for computing aggregates over the base cube and for materializing them in the data warehouse is built, and the component structure and working principle of the aggregation processor are introduced.     

AR-Dedupe: An Efficient Deduplication Approach for Cluster Deduplication System

As data are growing rapidly in data centers,inline cluster deduplication technique has been widely used to improve storage efficiency and data reliability.However,there are some challenges faced by the cluster deduplication system:the decreasing data deduplication rate with the increasing deduplication server nodes,high communication overhead for data routing,and load balance to improve the throughput of the system.In this paper,we propose a well-performed cluster deduplication system called AR-Dedupe.The experimental results of two real datasets demonstrate that AR-Dedupe can achieve a high data deduplication rate with a low communication overhead and keep the system load balancing well at the same time through a new data routing algorithm.In addition,we utilize application-aware mechanism to speed up the index of handprints in the routing server which has a 30%performance improvement.     

DATA MODELING METHOD BASED ON PARTIAL LEAST SQUARE REGRESSION AND APPLICATION IN CORRELATION ANALYSIS OF THE STATOR BARS CONDITION PARAMETERS

Objective To investigate various data message of the stator bars condition parameters under the condition that only a few samples are available, especially about correlation information between the nondestructive parameters and residual breakdown voltage of the stator bars. Methods Artificial stator bars is designed to simulate the generator bars. The partial didcharge(PD) and dielectric loss experiments are performed in order to obtain the nondestructive parameters, and the residual breakdown voltage acquired by AC damage experiment. In order to eliminate the dimension effect on measurement data, raw data is preprocessed by centered-- compress. Based on the idea of extracting principal components, a partial least square (PLS) method is applied to screen and synthesize correlation information between the nondestructive parameters and residual breakdown voltage easily. Moreover, various data message about condition parameters are also discussed. Results Graphical analysis function of PLS is easily to understand various data message of the stator bars condition parameters. The analysis Results are consistent with result of aging testing. Conclusion The method can select and extract PLS components of condition parameters from sample data, and the problems of less samples and malticollinearity are solved effectively in regression analysis.     

Adopting Context Mediation in Information Integration to Resolve Semantic Heterogeneity in Distributed Environment

Ontology-based semantic information integration resolve the schema-level heterogeneity and part of data level heterogeneity between distributed data sources. But it is ubiquitous that schema semantics of information is identical while the interpretation of it varies with different context, and ontology-based semantic information integration can not resolve this context heterogeneity. By introducing context representation and context mediation to ontology based information integration, the attribute-level context heterogeneity can be detected and reconciled automatically, and hence a complete solution for semantic heterogeneity is formed. Through a concrete example, the context representation and the process in which the attribute-level context heterogeneity is reconciled during query processing are presented. This resolution can make up the deficiency of schema mapping based semantic information integration. With the architecture proposed in this paper the semantic heterogeneity solution is adaptive and extensive.     

Predictive Model for Corrosion Rate of Oil Tubes in CO2／He S Coexistent Environment Part Ⅰ： Building of Model

Based on an analysis of the existing models of CO2 corrosion in literatures and the autoclave simulative experiments, a predictive model of corrosion rate (γcorr ) in CO2/H2S corrosion for oil tubes has been established, in which γcorr is expressed as a function of pH, temperature (T) , pressure of CO2 ( Pco2 ) and pressure of H2S (PH2S). The model has been verified by experimental data obtained on N80 steel. The improved features of the predictive model include the following aspects: ( 1 ) The influence of temperarare on the protectiveness of corrosion film is taken into consideration for establishment of predictive model of the γcorr in CO2/H2S corrosion. The Equations of scale temperature and scale factor are put forward, and they fit the experimental result very well. (2)The linear relationship still exists between In γcorr and In Pco2 in CO2/H2S corrosion ( as same as that in CO2 corrosion). Therefore,a correction factor as a function of PH2s has been introduced into the predictive model in CO2/H2 S corrosion. ( 3 ) The model is compatible with the main existing models.     

Numerical Integration with Derivatives

A new formula with derivatives for numerical integration was presented. Based on this formula and the Richardson extrapolafion process, a numerical integration method was established. It can converge faster than the Romberg＇s. With the same accuracy, the computation of the new numerical integration with derivatives is only half of that of Romberg＇s numerical integration.     

Efficient and provably-secure certificateless proxy re-encryption scheme for secure cloud data sharing

In current cloud computing system, large amounts of sensitive data are shared to other cloud users. To keep these data confidentiality, data owners should encrypt their data before outsourcing. We choose proxy reencryption （PRE） as the cloud data encryption technique. In a PRE system, a semi-trusted proxy can transform a ciphertext under one public key into a ciphertext of the same message under another public key, but the proxy cannot gain any information about the message. In this paper, we propose a certificateless PRE （CL-PRE） scheme without pairings. The security of the proposed scheme can be proved to be equivalent to the computational Dire- Hellman （CDH） problem in the random oracle model. Compared with other existing CL-PRE schemes, our scheme requires less computation cost and is significantly more efficient. The new scheme does not need the public key certificates to guarantee validity of public keys and solves the key escrow problem in identity-based public key cryptography.     

UNCERTAIN KNOWLEDGE MANAGEMENT IN EXPERT SYSTEMS USING FUZZY METAGRAPHS

IntroductionThe fuzzy graph- theoretic constructs are widelyapplied in modeling and analyzing fuzzy sys-tems[1] .Whereas,existing fuzzy constructs arenot suitable for the analysis of the directed rela-tionships between sets of elements.In addition,such relationships widely exist in fuzzy systems,for example,knowledge base in fuzzy expertsystem. So,based on the metagraph proposedby A.Basu and R.W.Blanning[2 ,3] ,this paperpresents a new graph- theoretic construct,afuzzy metagraph and applies …     

Approach for Reliability Evaluation of Cross-Linked Polyethylene Under Combined Thermal and Vibration Stresses

Based on Wiener process model, a new approach for reliability evaluation of cross-linked polyethylene(XLPE) is proposed to improve the lifetime evaluation reliability of XLPE under multi-stressing conditions and study the failure probability distribution. In this paper, two accelerated aging tests are carried out under combined thermal and vibration conditions. The volume resistance degradation data of XLPE samples are tested with a24 h interval under the accelerated stressing conditions at(130℃, 12 m/s~2) and(150℃, 8.5 m/s~2), respectively.Nonlinear degradation data obtained from the experiment are transformed to linear intermediate-variable values using time scaling function, and then linearized degradation data are calculated and evaluated on the basis of linear Wiener process model. Considering traditional Arrhenius equation and inverse power criterion, parameters of the linear Wiener model are estimated according to the maximum likelihood function. The relationship curves on probability density and reliability are given, and the lifetime distribution of XLPE under different stressing conditions is also obtained for evaluating the reliability of XLPE insulation. Finally, the life expectancy of XLPE is 17.9 a under an allowance temperature of 90℃ and an actual vibration acceleration of 0.5 m/s~2. The approach and results in this paper may be used for reliability assessment of high-voltage multiple samples or apparatuses.     

Secure and efficient digital rights management mechanisms with privacy protection

In the Internet or cloud computing environments, service providers provide more and more content services. Users can use these convenient content services in daily life. The major data of the user are maintained by the service providers except that some personal privacy data are stored at the client device. An attacker may try to invade the systems, and it will cause the damage of users and service providers. Also, users may lose their mobile devices and then it may cause the data disclosure problem. As a result, the data and privacy protection of users become an important issue in these environments. Besides, since many mobile devices are used in these environments, secure authentication and data protection methods must be efficient in these low resource environments. In this paper, we propose an efficient and privacy protection digital rights management （DRM） scheme that users can verify the valid service servers and the service servers can ensure the legal users. Since the key delegation center of the third party has the robust security protection, our proposed scheme stores the encrypted secret keys in the key delegation center. This approach not only can reduce the storage space of the user devices, but also can recover the encrypted secret keys in the key delegation center when a user loses her/his devices for solving the device losing problem.     

企业信息化进程中原材料定额管理系统的集成研究与实现

围绕某铁路客车制造企业原材料工艺定额的制定与管理,综合考虑了与企业设计开发系统（PDM）、企业工艺管理系统（CAPP）、企业原定额管理系统、商用套料优化系统（FastCut／FastNest）等的综合集成,提出了基于FastCut／FastNest二次开发的板材套料优化与定额管理集成系统。该系统采用C／S分布式计算模式,利用数据集成技术中的数据同步复制和数据交叉引用技术、动态链接库（DLL）等应用系统集成技术与企业PDM、CAPP、FastCut／FastNest优化套料等系统进行数据集成,很好地解决了企业新老信息系统中设计数据采集、工艺管理、优化套料与定额计算、报表输出等功能的集成,以及信息化过程中历史遗留系统的集成与资源利用难题,所取得的成果具有推广价值。     

电力企业信息系统应用集成技术研究

国内电力企业信息系统存在重复开发、独立运行、分散管理、缺乏规划等问题,难以满足集约化、集中化和精细化管理的要求.文章研究了面向国内电力企业的基于SOA架构的多层次应用集成方案和技术,支持在数据层、服务/消息层和流程层3个层面进行电力行业的应用集成,所采用的集成方案和技术体系都是基于最新的服务应用集成标准和较成熟的技术体系,不仅能降低应用集成的风险,而且还能降低集成工作的成本.     

PID和预测控制两种方法的比较

本文以过程控制设备为对象,以MATLAB和SCADA软件为平台,对双容水位系统实现PID控制和在线预测控制实验。通过比较MAtLAB软件仿真PID控制的实验和借助SCADA软件的在线预测控制实验,发现预测控制水位响应速度快,相对PID控制来说没有超调,精确度高,控制效果好。     

基于动态混合度的储能式有轨电车能量管理策略

为了提高混合储能式有轨电车的系统效率和运行经济性，基于动态混合度和系统效率之间的关系，提出了基于动态混合度在线凸规划的混合储能式有轨电车能量管理策略. 首先基于混合储能式有轨电车各系统参数，对各部件进行建模；其次采用在线凸规划法求解，得到了系统每一时刻的最优动态混合度；最后以有轨电车的典型工况为例，在RT-LAB实时仿真平台研究动态混合度对系统效率的影响. 研究结果表明动态混合度同系统效率之间存在凸函数关系:在相同参数条件下，基于动态混合度的在线凸规划能量管理策略较传统的功率跟随式能量管理策略系统瞬时效率最高提升9.6%；当完成整条线路运行，可节省电量2 886.2 kJ，运行经济性提升3.29%.      

铁路远动信道信息传输差错控制特性分析

本文就电气化铁道牵引变电所远动监控系统中信道的信息传输问题，在其可靠性，吞吐率及最佳码长等方面进行了分析，并分别推导出其数学模型，它直接关系到运动系统信息传输协议的制定及通信方式的选择。     

建设环保和节约型高速公路的措施

为了体现公路建设与自然环境的和谐统一,河南省近几年积极贯彻“环保、节约”等新理念,使高速公路整体水平有了较大提高．基本达到了“安全、环保、舒适、和谐”的要求,得到了社会的认可和好评。     

ADAM5000系列CAN模块应用技术

介绍了研华公司ADAM5000系列CAN总线数据集模块的特点，并详细介绍了其在SCADA系统中的应用实例。     

基于Ajax技术的远动系统实时曲线研究

介绍了Ajax技术及其特点,提出了一种新的基于Ajax的远动系统实时曲线的实现方法,并结合实例说明了如何利用Ajax控件开发远动系统实时曲线．     

Research on marine structure inspection support system on mobile device platform

Ship and offshore structure often work in very severe environment. Therefore routine inspection and maintenance are essential to keep ship structure and equipment in good state, and can decrease the possibility of sea pollution and safety problems. Besides that, the activity of inspection and maintenance is also directly connected with cost control and condition assessment. Current inspection is still mainly based on paper and pen, so it is rather time-consuming for transferring inspection data from paper to computer system, and more difficult to make calculation based on the inspection records. In this paper, the concept of information integration model and inspection support system using mobile device is introduced. The structuralized data in the information integration model offer much convenience to data transferring. The inspection support system consists of one headquarter management subsystem and one inspector handling subsystem. A mechanism of data exchange between the two subsystems is developed based on standard inspection workflow. The headquarter subsystem works on computer, and the inspector subsystem is mobile application instead of paper and pen. Versatile tests and platform experiments are carried out to demonstrate and confirm the feasibility and validity.     

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经过规范化的发展,已经涌现出不少成熟的企业信息集成(EII)模型,而城市交通信息集成（UTII）方面还缺乏规范、成熟的模型。基于此,本文从流程再造、数据交互以及数据挖掘三个方面,提出了一种城市交通信息集成三维模型（3D-UTII)。这三个维度的集成即为：基于流程再造的交通信息系统内部的深度集成（DDII）,基于异构数据库技术的交通信息系统间的广度集成（EDII）,以及基于数据挖掘技术的分析式集成（ADII）。本文对这三个维度的实施框架和具体实现技术分别做出了进一步阐述,最后使用北京市奥运交通应急系统的信息集成方案为实例对模型的实施做出了说明和验证。