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Efficient execution of distributed database operators such as joining and aggregating is critical for the performance of big data analytics. With the increase of the compute speedup of modern CPUs, reducing the network communication time of these operators in large systems is becoming increasingly important, and also challenging current techniques. Significant performance improvements have been achieved...
With the rapid development of wireless communication and mobile devices, heterogeneous networks have emerged as a promising paradigm to enable users' data services. However, it lacks an experience blocking theory to optimize data services. Furthermore, due to the limited resources of spectrum, the spectrum sharing based on the quality of experience (QoE) in heterogeneous networks becomes a new challenge...
Hadoop has become a popular platform for the management of big data. To provide a healthy Hadoop platform for big data application, an HMM-based approach for performance diagnosis in Hadoop clusters is proposed. We use metrics which are collected under the normal situation to train HMM (Hidden Markov Model), then use this model to detect anomaly based on the probability, which is more accurate than...
In this paper, an overview of our recent development in the effective modeling of microwave filters is presented, highlighting the application of neural network (NN) modeling technique in the design and optimization of multiplexers. For this application, NN models are based on much simplified EM data of only critical filter structures. The cost of model development is therefore significantly reduced...
Owing to the complexity of data types and comments in Integrated Sensing Network (ISN), we adopt database for the data storage and propose a database structure for ISN, including distributed local service database and centralized management database. The multi-level multi-priority queue model is built for analysing the performance of the users accessing to local service database. The simulation results...
With the development of the Internet of Things, the concept of Integrated Sensing Network (ISN) and its functional architecture are proposed. The core functions of the sensing stratum, the transport stratum, the service stratum and the management platform as well as a data flow model for ISN are discussed. The reference architecture and the model provide a common basis for the research and development...
The restoration of missing data is an important concern for data analysis. In this paper, an algorithmically innovative model termed multiple sine function decomposition (MSFD) model is proposed and developed for restoring the missing data about monthly average temperature (MAT) of Guangzhou, which is a representative major city of China. The proposed MSFD model is formed by successive approximation...
The error estimation of wind power forecast is of great importance to the dispatch and control, security and defense, etc. of power systems. In this paper, a system used to estimate the wind power forecast error is designed from the viewpoint of decoupling principle. Firstly, the paper refines the decoupling process of estimating wind power forecast error based on numerical feature extraction. Secondly,...
The mechanism of power grid GIC is complex and has multiple factors. The geomagnetic activity is one of the main factors. In this paper, by using the wavelet neural network, a forecasting model for GIC caused by gradual commencement magnetic storm is introduced. The GIC data and geomagnetic data monitored during the magnetic storms are the basic data of the model. The GIC data collected in Ling'ao...
A method of modeling spurious mode for microwave multiplexer design is presented. It is proved that the channel filter can be simplified to have the minimum structural features, yet still capable of modeling the effect of spurious mode accurately, which facilitates the application of neural networks in the multiplexer design. Model simplification and neural model development are detailed. The method...
Avionics software is safe-critical embedded software and its architecture is evolving from traditional federated architectures to Integrated Modular Avionics (IMA) to improve resource usability. ARINC653, as a standard widely employed in the avionics industry, supports partitioning concepts in accordance with the IMA philosophy. To insure the development of the avionics software constructed on ARINC653...
Businesses and other organizations increasingly rely on business process management, and a data-centric approach to workflow has emerged that are centered on “artifacts”. This approach introduced by IBM focuses on data records, known as artifacts, that correspond to key business relevant objects, and that flow through a business process specified by a series of web services. Our researches carry on...
In order to improve the road safety of highway in the highlands, taking traffic engineering, psychology and other theories as the foundation, the paper investigates the road alignment, operating speed of passenger cars and the drivers' psychological and physiological reactions of the Qinghai-Tibet Highway, explores the relationship between the operating speed of passenger cars and the drivers' psychological...
This letter addresses the beamforming issues for two way relay systems assuming that two source nodes S1 and S2 are equipped with single antenna each and relay node R with multiple antennas. We derive the optimal linear beamforming matrix at R in closed form based on convex optimization techniques, aiming to minimize the weighted mean squared error (MSE). To reduce complexity for implementation, two...
Marketing channel as the downstream end of a supply chain assumes a prominent role for delivering company's offerings to customers, meeting their demands, and creating cash flow for company. To ensure better customer relationship and secure more market power, retailing stores make efforts to differentiate themselves by introducing private brand products in addition to existing national brands. Globalization...
The study of the statistic model of the spine in three-dimension (3-D) geometry aims to provide a scientific basis for the spine and vertebra related medical surgery. In this paper, we adopt the Active Sharpe Model (ASM) to build a spinal statistical model. That is, we first locate and mark the feature points of the three-dimensional reconstructed medical Computed Tomography images, so as to obtain...
Abstract graphical Grid workflow can adapt the dynamic nature of Grid environment. It is more intuitive and convenient for user to apply Grid services solving the remote sensing distributable computing problems than concrete Grid workflows. This paper firstly introduces the feasibilities and advantages of abstract Grid workflow applying for remote sensing quantitative retrieval services. And then...
Innovation in both technology and service play a crucial role in enhancing consumers' living standard and companies' growth. Outcomes of Innovation often go premature due to failing to cross the chasm of adoption. Literature in this domain takes the positive perspective to describe and explain the phenomena, however, scarcely provides any solution. This study from a normative marketing perspective...
Belt conveyor is one the most important equipments for bulk material transportation. Traditional static analysis methods can not meet the design requirements of the heavy-duty belt conveyor. In this study virtual prototyping (VP) technology is applied to virtual simulation of belt conveyor. The simplified prototype of belt conveyor is established by RecurDyn software. And the VP can simulate belt...
This paper studies the features of personal recommender system and personalized recommendation case organization according to the method of case-based reasoning(CBR). A lot of design thought and methods of the personal recommender case organization are discussed. Finally, the design methods of the personalized recommendation case organization are analyzed.
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