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The problem faced by the company is how to determine potential customers and apply CRM (Customer Relationship Management) in order to perform the right marketing strategy, so it can bring benefits to the company. This research aims to perform clustering and profiling customer by using the model of Recency Frequency and Monetary (RFM) to provide customer relationship management (CRM) recommendation...
Granger causality approaches have been widely used to estimate effective connectivity in complex dynamic systems. These techniques are based on the building of predictive models which not only depend on a proper selection of the predictive vectors size but also on the chosen class of regression functions. The question addressed in this paper is the estimation of the model order in the computation...
Existing clustering algorithms need to specify the number of clusters and to select initial points using human input, which lead to inferior clustering and optimisation outputs. Here, an improved grey decision-making model based on the thought of affinity propagation algorithm and grey correlation analysis is proposed to solve these problems. According to the panel data class and the inter-class candidate...
This paper studied the spatial distribution of Wuhan land use degree in 2015. In addition, the spatial autocorrelation of land use degree and its impact factors were analyzed, including population density, primary industry, secondary industry, tertiary industry, road density and terrain relief degree. A spatial autoregressive model and Bayesian Geographically Weighted Regression (BGWR) was established...
Information equipment industry is knowledgeintensive and technology-intensive industry. The ability of independent innovation is the key driver for industry development. This paper studied modeling of the information equipment industry development. The academic attributes and the technical attributes be introduced into the model, through defining the theoretical density, the technology density and...
In order to solve the problem that the anomalous samples are scarce and the model is susceptible to abnormal data, this paper introduces the idea of kernel trick in the process of constructing the projection classifier and constructs three kinds of projection one-class classifiers: Projection Support Vector Data Description (PSVDD), Projection K-means (PK-means) and Projection K-centers (PK-centers)...
In this paper, we construct the financial risk early warning model based on BP neural network, make an empirical analysis of the data between January 2004 and October 2015, proves the reliability of the model prediction results through the training and test of the financial risk early warning model and finally put forward the following suggestions for preventing China's financial risks under the new...
In order to improve the electric car battery safety early warning ability and decrease the safe accident of electric vehicle charging, the electric vehicle charging safety factors are analyzed, the security early warning index selection ways and methods are studied, and a security early warning evaluation index system is set, the evaluation method of weight for safety index is discussed. Besides,...
Video sequences contain rich dynamic patterns, such as dynamic texture patterns that exhibit stationarity in the temporal domain, and action patterns that are non-stationary in either spatial or temporal domain. We show that a spatial-temporal generative ConvNet can be used to model and synthesize dynamic patterns. The model defines a probability distribution on the video sequence, and the log probability...
As part of the Copernicus Programme, Sentinel 1 (S1) synthetic aperture radar (SAR) mission represents a unique monitoring tool whose potentialities for hydrological risk mitigation need to be evaluated. To this aim, S1-A derived soil moisture maps with high spatial resolution (100 m) and moderate temporal resolution (12 days) were assimilated within a time-continuous, spatially-distributed, physically-based...
Ionospheric scintillation based on spatial are required to mitigate the effect on telecommunication and navigation systems. This research aims mapping ionospheric scintillation over region of Indonesia. It is based on spatial analysis of occurrence variations of ionospheric scintillation. It makes it easier to determine where and when the ionospheric scintillation occurs. The low latitude ionospheric...
In this study, based on in-situ measurements collected in the North China Plain, adjusted vegetation water indexes were introduced on the basis of traditional vegetation water indexes to weak soil and background influence and propose multiscale winter wheat moisture inversion model that is suitable in North China Plain. The main conclusions are as follows: 1) The adjusted water indexes have a good...
This paper attempts to retrieve leaf water content (LWC) by developing new vegetation indices from the combination of the near-infrared (NIR) and middle-infrared (MIR) spectral reflectances. The expanded vegetation leaf model PROSPECT-VISIR and the widely validated four-stream scattering by arbitrarily inclined leaves (4SAIL) model are employed to simulate canopy reflectance in 0.4–5.7 μm region with...
A new radiometry and design framework has been introduced in the latest Digital Imaging and Remote Sensing Image Generation model (DIRSIG5) that allows for faster simulations while streamlining the generation of high-fidelity radiometric data. The same framework that allows for improved computational performance has also modularized simulation components to allow for extensive interchangeability based...
The rapid growth of urban image scale and its resulting high cost of data storage have become the factors which will restrict the development of the smart urban security system. Image stitching technology can synthesize many smallview images into a picture with large view and high quality which helps to smart city overall planning and regulation. Also, image stitching removes the repetitive, redundant...
In this study, the Bottom-Of-Atmosphere (BOA) reflectance over Egbert, Ontario, Canada on September 24, 2016, as obtained by the Sentinel-2A Multi-Spectral Imager and corrected by the Sentinel-2 atmospheric Correction (Sen2Cor) software, was evaluated based on the 6SV atmospherically corrected reflectance. The aerosol and water vapor parameters used in the 6SV model were obtained from the AERONET...
Grasslands deliver wide range of ecosystem services such as carbon sequestration, water quality, flood and erosion control as well as biomass. But since they are impacted by climate change, there is a need for their constant monitoring. Due to climate changes the following grasslands growth conditions are modified: soil moisture, biomass and as a consequence carbon balance. Required multi-temporal...
Model quality is one of the decisive factors that affect the performance of model-based controllers. However, the existing methods were devoted to the monitoring of the overall model quality, and didn't distinguish mismatch of the process model and the disturbance model. Aiming at this problem, this paper presents a new method for monitoring the quality of process model based on input and output data...
Low rank matrix approximation, in the presence of missing data and outliers, has previously shown its significance as a theoretic foundation in a wide spectrum of tabulated information processing applications. To fit low rank models, minimizing the nuclear norm of matrices is a popular scheme, the computational load of which, however, is heavy. While bilinear factorization can largely mitigate the...
Aiming at the deception phenomena in the electric power market that disorder the power trading, the early warning problem of power users' credit risk in the power market was studied. To solve the problem, an early warning model based on SVM (Support Vector Machine) was purposed. First the evaluation criteria system and grading standard were discussed in detail. Secondly the early warning model based...
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