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Based on the satellite data such as precipitation estimation, incident radiation, brightness temperature etc. and the assimilation data of CLSMDAS, combined with B-P neural network to develop a new model of soil moisture monitoring. The model mining the relationship between the soil moisture and the satellite products, then calculate the weight and build models using artificial neural network which...
Searching the predictors in each level of the NCEP data by use the long time series data of NCEP and short time sequence data of wind observation. And filtering the information and extraction the components for these primary predictors using the method of partial least-squares regression (PLS), then takes the new comprehensive variables (names components) as predictors and using the neural network...
In this paper, a random rough subspace based neural network ensemble method is proposed for insurance fraud detection. In this method, rough set reduction is firstly employed to generate a set of reductions which can keep the consistency of data information. Secondly, the reductions are randomly selected to construct a subset of reductions. Thirdly, each of the selected reductions is used to train...
Existing research has demonstrated that effective Routing and Wavelength Assignment (RWA) algorithm and wavelength conversion are two primary vehicles for improving the networks performance. In this paper, we consider the multicast routing and wavelength assignment problem(MC-RWA) in multi-hop optical WDM networks, where requests arrives one by one. Specially, we first analyze this problem under the...
Using Empirical Orthogonal Function (EOF) method, the time coefficients were extracted from the samples of infrared satellite images every 3-h in heavy rainfall processes as predictands for images prediction modeling. Based on the technique of the reduction of data dimensionality, genetic neural network ensemble prediction (GNNEP) models have been developed for the associated predictands using predictors...
Traditional road supply models assume full knowledge of the inverse demand function, such that the supply-demand equilibrium point can be easily obtained. However, in practice, it is often difficult to completely characterize the inverse demand function, especially for a congested road. In this paper, we study the traffic volume estimating problem for a congested road with partial information about...
A generation method of underwater terrain was brought forward in which the electric chart was used as the data source. Laplace interpolation was used in data interpolation of the water depth on the electronic chart to generate three-dimensional environment. The Roam-based LOD algorithm was improved and data storage structure of the Roam algorithm was redesigned, and a height factor was introduced...
This study, based on a survey of 1000 manufacturing firms in central south, south and central China regions, examines the relationship among supply chain performance, competitive advantage and firm performance. By exploratory and confirmatory factor analyses, the scale of manufacturing firm's supply chain performance is obtained. The results show that supply chain performance can be conceptualized...
The design of network to collect the products is a very important problem in reverse logistics. Most models in research are single objective models which only minimize the cost of designing the network. However, there usually involves multiple and conflicting objectives in the problem such as cost and service level. This paper proposes a bi-objective integer programming which optimize the cost and...
In this study, a conceptual framework to help investigate sustainable supply chain management (SSCM) in Beijing environmental logistics by embracing the sustainability theoretic perspectives is introduced. It aims to find a trade-off among social, environmental and economic performances in SSCM. Followed by the proposed framework, the authors then identified Critical Success Factors (CSF) for Beijing...
Sensitive information has become a bottleneck between the cooperation of enterprises. So protecting the sensitive information of enterprises is an important problem to promote enterprises' cooperation. Joint purchasing can decrease enterprises' cost, but cooperative enterprises are unwilling to provide sensitive cost information. So how to decide the quantity of joint purchasing and the price of joint...
Modern Investment Portfolio Theory, having been applied into real estate abroad, can disperse risks and stabilize returns. The paper establishes an objective decision model of Real Estate Investment portfolio by introducing risk coefficient . Furthermore, the author decompounds the total risks into systemic risk and non-systemic risk, deepens the model by using the non-dispersible coefficient β on...
This paper develops a number of Riemann solvers for a conserved higher-order traffic flow model, which are derived firstly by expressing its exact Riemann solver through that of the LWR model, and then by replacing the exact Riemann solver of the LWR model with the corresponding approximate Riemann solvers in the expression. Being applied to design a first-order accurate scheme, each of these fluxes...
An extended optimal velocity traffic flow model on two lanes including a bus stop and a bus deceleration area is proposed. The fundamental diagram is classified into seven distinct traffic states with the variation of density. Two new traffic states are found. One of them shows that lane-changing occurs frequently whether in front of or behind the bus, the other shows the stop-and-go wave will appear...
Every morning commuters have to travel from a residential area to a workplace by using their private cars on a bottleneck-constrained highway. Consider the maintenance cost and infrastructure investment, we model road pricing and capacity decision under a self-financing constraint then derive how a planner chooses pricing and capacity chooses to maximize the social welfare. The optimal fine toll is...
It is well-known that the topological structure of an interconnection network can be modeled by a connected graph, whose vertices represent sites of the network and whose edges represent physical communication links. Such a close interrelation between graph theory and network motivates us to investigate the stability of graphs with respect to edge or vertex alteration. Since Tutte gave an instruction...
The key frame is a set of discrete frames which contain the most important information in the video. It can greatly reduce the time of video library retrieval by extracting key frames according to an efficient algorithm, and some important information can also be embedded in the key frames to protect the video copyright. In this paper, I propose a new key frame extraction algorithm based on GA (Genetic...
In this paper, we use the method of multiple linear regressions to study the impact of temperature and precipitation on agriculture, construction, transportation storage and post telecommunications, wholesale retail and catering, social services. In Jiangsu Province, the impact of temperature and precipitation on agriculture, construction, transportation storage and post telecommunications is significant...
In order to get the risk character of lightning hazards of Huangshan area, lightning activities associated with geological landform and its effect on Huangshan pine and tourists are analyzed. Some parameters of the risk assessment are listed in the example of Longzhao Pine. According to the research, the risk of personal injury and death for Longzhao pine exceeds the permissible risk value. The main...
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