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Traffic flow prediction, which predicts the future flow using historic flows, is an important task in intelligent transportation systems (ITS). Efficient and accurate models for traffic flow prediction greatly contribute to the development of ITS. In this paper, we adopt the Gaussian process dynamical model (GPDM) to a fourth-order GPDM, which is more suitable for modeling traffic flow data. Specifically,...
Hardware-in-the-loop (HITL) simulation method can effectively improve the accuracy and reliability of wireless network simulation, it can be used for hardware test, software test and performance optimization etc. This paper analyzes the deficiency of the OPNET's existing external interface, and presents a HITL simulation interface based on agent (HSIBA), which is used for realizing the protocol mapping...
The enormous amounts of data that are continuously recorded in electronic health record systems offer ample opportunities for data science applications to improve healthcare. There are, however, challenges involved in using such data for machine learning, such as high dimensionality and sparsity, as well as an inherent heterogeneity that does not allow the distinct types of clinical data to be treated...
The firms have engaged in initiatives that link e-supply chain processes (e.g., e-procurement) across enterprises to create Information Technology (IT) value. However, it is not clear how IT is contributing to value creation across-organization process. The objective of this paper is to investigate the process from e-supply chain capability generation to IT value creation through e-business process...
Although electronic health records (EHRs) have recently become an important data source for drug safety signals detection, which is usually evaluated in clinical trials, the use of such data is often prohibited by dimensionality and available computer resources. Currently, several methods for reducing dimensionality are developed, used and evaluated within the medical domain. While these methods perform...
There are two method frequently used for parallelization: data parallel and task parallel. According to the characteristics of analysis of digital terrain, data parallel is more applied, so Petri nets is introduced in this paper to describe the parallel relationships within data patitions based on granularity model. As for different storage environment, corresponding scheduling algorithms are proposed...
Existing drought evaluation method which people easy to appear the interference of artificial weights, this paper puts forward projection pursuit model for evaluating drought based on logistic curve and selects the drought evaluation index as projection parameters to seek its best projection direction. Taking Qiqihar area as research objects, the departure ratio of rain-fall, dry index and Z index...
Provenance is becoming an important issue as a reliable estimator of data quality. However, provenance collection mechanisms in the reservoir engineering domain often result in missing provenance information. In this paper, we address the problem of predicting missing provenance information in reservoir engineering. Based on the observation that data items with specific semantic "connections"...
In this paper, we propose an improved combined forecasting model integrates the merits of data pretreatment, combined model and Markov chain, known as Markov combined model. The moving average is used for the data pretreatment or determination of trend, combined model is designed for the trend forecasting, and the Markov chain is employed for modifying the forecasting results of combined model. The...
Software-Intensive Equipment is the system which includes software and hardware. In this paper, we analyze the characteristics of software-intensive equipment and propose a non-parametric system reliability model to study the failure data with time series technique. The model uses fuzzy neural network and a wavelet function as the membership function to adjust the shape on line so that the model has...
There has been a recent push towards applying information technology principles, such as workflows, to bring greater efficiency to reservoir management tasks. These workflows are data intensive in nature, and the data is derived from heterogenous data sources. This has placed an emphasis on the quality and reliability of data that is used in reservoir engineering applications. Data provenance is metadata...
Many existing software reliability models are based on some subjective assumptions those could be easily impractical in reality. Genetic Programming(GP for short) does not need some subjective assumption due to the basic characteristic of the data. Also, this method doesn't require to understand the inherent processes for failures, but to create models based on the given data for a "true"...
City scientific and technological progress level classification and promotion play a central role in spurring city income growth and reducing poverty. Based on the Chinese city data availability, this paper built evaluation index system on the level of city scientific and technological progress. According to the city scientific and technological progress data which is large scale and imbalance, this...
Innovation system efficiency analysis and prediction play an important role in regional innovation systems development and improve benefit of innovative capacity for country. According to the county innovation system data which is large scale and imbalance, this paper presented a support vector machine model to predict county innovation system efficiency. The method was compared with artificial neural...
Arming at the characteristic of shrapnel multi-type and variable batch, developing tools Visual C++ 6.0 and Pro/Toolkit are used, the CNC system based on SmarTeam Data Model is put forward. Effective management and utilization are carried out which are in the fields of the processing parameter inquiring, experience inquiring and G code of numerical control cutting, milling, drilling, boring and so...
The data in e-commerce holds the characteristics of distribution, heterogeneousness, sparseness, high dimension and mass. So data mining system in e-commerce should be able to deal with the data in the different environments. As a novel distributing computing technique SOAP is designed for increasing interoperability within the wide range of programs and environments. This paper provides insights...
The removal of Ni(II) from aqueous solution by batch adsorption technique using a zeolite-attapulgite composite nano-size adsorbent was investigated. After elementary characterization of this adsorbent, the influence of adsorbent concentration, initial Ni(II) concentration, pH, contact time and temperature on the selectivity and sensitivity of the removal process were investigated. Results showed...
A protocol anomaly detection model based on hidden Markov model (HMM) is given in this work which can verify normal and abnormal traffic. Then we demonstrate the model's correctness and effectiveness by using MIT Lincoln Laboratory 1999 DARPA Intrusion Detection Evaluation Data Set.
Customer churn analysis and prediction play an important role in customer relationship management and improve benefit of enterprise. According to the bank's customer churn data which is large scale and imbalance, this paper presented a support vector machine model to predict customer churn. The method was compared with artificial neural network, decision tree, logistic regression and naive Bayesian...
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