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Nowadays, close monitoring of daily activities of elders is enabled by employment of the advanced wireless sensor networks, whose large quantity data are then analyzed by activity recognition techniques whereby their behavior patterns can be accurately modelled. In general, behavior patterns are important information about how elders live, and caregivers can thus take care of elders easily with the...
In this paper, we discuss one of the most common tasks faced by marketers when faced with resource and time constraints, namely, consumer prioritization with the objective of optimizing one or more marketing key performance indicators such as consumer conversion. A key element in building predictive models is the ability to introduce features that capture historical user behaviors in an effective...
The interval time distribution is a well investigated in the area of 'human dynamic'.Many research explained the heavy tail phenomenon and reproduced the heavy-tail-like interval time or response time distribution with various models. This paper empirically studies human online activities both at individual level and group level based on 'T-mall' data set and 'Wikipedia' data set. It points out that...
This paper presents our latest work on assisting AMS (application management service) clients or accounts to generate effective cross-skill training plans. Specifically, we aim to answer the following two questions: "Whom to train?" and "What to train?", both of which are very critical to training plan generation. To achieve this goal, we first analyze a given account's service...
Organic Rankine Cycle (ORC) is particularly suitable for the recovery of energy from low-quality heat sources. In this paper, a generalized predictive controller is proposed for a low-quality heat recovery process operating on an Organic Rankine Cycle. The simulation results show that the proposed control strategy can achieve good transient and steady response along with decoupling performance.
Predicting the Quality of Service (QoS) values is important since they are widely applied to Service-Oriented Computing (SOC) research domain. Previous research works on this problem do not consider the influence of user location information carefully, which we argue would contribute to improving prediction accuracy due to the nature of Web services invocation process. In this paper, we propose a...
In H.264, intra-prediction is used to improve the efficiency of I-frame encoding. There are many kinds of intra-prediction modes in H.264, so we have to select a suitable prediction mode for each frame, and the result of our selection must transfer to the decoder. So it needs extra bites to transport the mode selection information. In order to reduce the amount of mode selection information and the...
Based on the first national land survey and the second land survey data, this paper uses GIS technology, mathematical and statistical analysis techniques, and combines with related theory to research on land use / land cover change (LUCC) study through various types of data processing in the sample area-Weifang City, Shandong Province. According to land use change model, it makes a comprehensive analysis...
In this paper, we studied the influence of different concentrations of chlorothalonil which was commonly used in North China, on the activities of soil invertase, catalase and urease. The results showed that the influence trend of chlorothalonil at different doses on soil enzyme activity was almost the same. For soil catalase, it showed significant activation. For soil urease, it showed stimulation...
It's a focus for researchers to forecast the nonlinear data got from the reality world system. Many methods based on nonlinear models are proposed. In this paper, a forecast model based on the wavelet analysis and the neural network is proposed. Firstly, the wavelet decomposing and reconstruction should be made on the time series studied, and then neural network forecast method is applied on all the...
In the area of ocean fisheries research, a new research interest is to use marine environment factors for fishery forecasting. This paper proposes a novel knowledge discovery model for fishery forecasting that uses the Indian Ocean big-eye tuna fishery as its testing ground. The model employs a 3-step process. Firstly the support vectors can be obtained by training the support vector machine (SVM)...
The support vector machine (SVM), proposed by Vapnik (1995), has been successfully applied to classification, cluster, and forecast. This study proposes support vector regression (SVR) to forecast real estate prices in China. The aim of this paper is to examine the feasibility of SVR in real estate price prediction. To achieve the aim, five indicators are selected as the input variables and real estate...
According to the PM10 monitoring data of Harbin City in China during 2001~2007, the paper establishes a conventional grey forecasting model GM(1,1) and its metabolic version based on grey system theory. Four different methods are employed to test the accuracy of two models and the metabolic model is proved superior to conventional one as a good prediction approach. After that, the paper predicts the...
Data mining is the analysis of large observational data sets to find unsuspected relationships and to summarize the data. With the development of the broadcasting and television monitoring, monitoring data in database have become more and more. People hope that these data are both understandable and useful to future work. Therefore, it is very significant to discuss the specific applications of data...
A predictive control model of radiant floor heating system is developed based on BP (back propagation) neural network, Which consists of input layer(14), hidden layer(16) and output layer(1). The model is trained with the experiment data and the on-line correction predictive control is conducted. The maximum relative error between the indoor temperature given by the on-line correction predictive control...
Landslide is a kind of genetic type of slope and has the same characteristics with slope. The major external motivation factor of landslide displacement is groundwater and it is under the control of remedial measures at the same time after its remediation. Chaotic time series of landslide displacement and its influential factors could reflect the history of landslide displacement of dynamic system,...
To solve the problem of query-by-example in multimedia audio data, we analyze the characteristics of wavelet multiresolution, wavelet packet transform and it’s best base, and propose a method for searching audio data using wavelet packet best base and wavelet multiresolution pyramidal algorithm. First, we preprocess 100 audio data files by transforming them into best base coefficient and wavelet coefficient...
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