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Based on the financial security index calculated in the method of principal component analysis, this paper applies the model of BP neural network to test the result and then puts forward the early warning of Chinese financial security position in the future. In addition, the article gives some following suggestions for the early warning of financial risks: we shall reform the current financial regulation...
Our goal is to analyze the way information flows in the social network and to draw a conclusion for the relationship between the information spread and public opinion. First, by utilizing K-Means Algorithm with PCA (Principal Component Analysis), we build a comprehensive assessment system of information development. Second, based on the traditional SIR Model in epidemic field, we build a SIER dissemination...
A generic software tool to evaluate the impact of ionospheric disturbances is presented, including low and high latitude physically-based models, and low and high frequency fluctuations. This tool has been developed specifically to assess the performance of navigation receivers, but it is ready to simulate other frequencies and even receivers in dynamic conditions, which allows it to be used in other...
The adjustment of global power structure will have effects on business model of power contracting service industry. According to the research scheme of “characteristic analysis-current situation analysis-mode selection” firstly, we adopt concentration rate index to summarize market characteristics. Then, to clarify current situation of power market development, it analyzes the influencing factors...
The energy consumption and pollutant emission of construction engineering bring great impact on environment, so we propose a scheme based on the full life cycle in this article. It adopts BIM technology and relative tools to establish multi-dimensional information mode of construction projects and further define the relation between BIM mode elements and building materials, by quantifying the environmental...
Proposes an approach to assessing the state of plant species (based on an example of assessing the state of large-leaved linden) in urban environment on the basis of fuzzy information from a group of experts. Formalization of the expert information is carried out on the basis of complete orthogonal semantic spaces. The proposed approach allows to avoid mistakes in the assessment of a single expert...
Based on related statistical data about Chinese cultural consumption, this paper analyzes and compares the regional differences of it in China in the environment, level and tendency of cultural consumption by establishing statistical models, and explores the main influencing factors in different regions. Finally this paper puts forward some policies and suggestions according to the results to elevate...
Functional Structural Plant models can help to understand plant plasticity. Such a model was developed for winter oilseed rape, based on the GreenLab model. However, the model had a large number of parameters, which made its calibration difficult. In order to simplify the model, we applied sensitivity analysis method to select the most important parameters. Analyses were performed on the following...
As improving the quality of the construction engineering project is very important for construction industry, in this paper, we propose a fuzzy AHP based approach to evaluate the construction engineering project quality. To cover all influencing factors of the proposed problem, three parts are contained, including 1) Building safety performance, 2) Building utilization function and 3) Construction...
This paper puts forward an evaluation index system with 20 indexes and quantitive criteria for geographical ecological environment bearing capacity based on national geographic conditions census data; the evaluation model is determined by comprehensive evaluation method and weighted by analytic hierarchy process; comprehensive suitability zone is introduced through the evaluation results of bearing...
Based on the material flow theory and comprehensive logistics theory, this paper analyzes the sustainable development principle of comprehensive logistics, and then establish the ESN-DSR structural model of logistics enterprise sustainable comprehensive logistics based on DSR model. On this basis, the paper puts forward the index system of logistics enterprise comprehensive logistics index, and carries...
This paper firstly created an evaluation index system of coastline resource, and then, in light of optimal allocation of resource, proposed an evaluation index system of intensive coastline utilization. Moreover, in the context of remote sensing images (SPOT) analysis and field survey, two multi-factor evaluation models, coastline resource evaluation model and intensive coastline utilization evaluation...
With the recent development of computertechnology, the high frequency financial big data have beengenerated timely and more conveniently. However, theparticularity of high-frequency big data has raised a number ofmajor challenges for data analysis. The existing mathematicalmodels that were designed for analyzing daily financial data mayno longer be suitable for studying high-frequency big data. Totackle...
Through mathematical modeling, this paper analyzes three operation models of reverse logistics including manufacturer take-back, retailer take-back and third party take-back. The optimal solutions of the take-back price, the take-back quantity and the profit of manufacturer a resolved from these models, and two inferences are obtained from the comparative analysis of these optimal solutions. Furthermore,...
In this paper we apply an approach based on the apparatus of the Index Matrices and the Intuitionistic Fuzzy Sets - namely InterCriteria Analysis. The main idea is to use the InterCriteria Analysis to establish the existing relations and dependencies of defined parameters in non-linear model of an E. coli fed-batch cultivation process. Moreover, based on results of series of identification procedures...
According to the actual situation of Pearl River basin and the existing evaluation index systems of river-lake health, a new evaluation index system of river-lake health in Pearl River basin was built. The river-lake health assessment system was built using ArcGIS as a development platform. The data was obtained based on remote sensing and GIS. The rapidness and visualization of river-lake health...
A WSN tends to be autonomic, an adaptive and distributive algorithm in Wireless Sensor Network is presented based on cellular automata mechanism, which was sourced from the thoughts of automatic breeding in biology. Each node of the Wireless Sensor Network is assumed to be equipped with CA machine, and change its state (active/stand-by) depends on the state of its neighbors. The main objective of...
Under the background that China is about to launch options on futures trading, we investigate quantitatively the leverage effect and the degree of fat-tails in China's futures market in a Bayesian approach by using the tochastic volatility models. To estimate the parameters of the models, Markov Chain Monte Carlo (MCMC) method and Gibbs sampling are applied.
This paper presents the effects of wearing rings and earrings on the Specific Absorption Rate (SAR) distribution due to mobile phone exposure using the inhomogeneous human model HUGO. The human model is postured in talk position and exported using the “BodyFlex” software program. To analyze the SAR distribution, the head and the hand of the human model are included in the simulations. The results...
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