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Some extensive numerical simulations of the atmospheric composition fields in the city of Sofia have been recently performed and an ensemble, comprehensive enough as to provide statistically reliable assessment of the atmospheric composition climate of Sofia — typical and extreme features of the special/temporal behavior, annual means and seasonal variations, etc. has been constructed. The simulations...
In order to evaluate the energy production of a solar system, the tilted global radiation is needed. Generally, only the global horizontal radiation data are available. To calculate a tilted global radiation, it is necessary to estimate the diffuse or the direct component of the horizontal solar radiation. In this article, a statistical procedure has been employed to develop correlations between the...
This study investigates the bio-mechanics of one main artery model in a three dimensional analytical cylindrical generated geometry based on a real human artery. Structured geometry is a medium large (celiac) artery. Constant and sinus velocity profile is applied as an interpolated input. Non-Newtonian Carreau viscosity model and fluid-structure interaction (FSI) is applied numerically. Oscillating...
Digital phantoms are vital for various biomedical researches. Traditional phantoms include theoretical models and voxel models reconstructed from medical images. It has been demonstrated that the homogeneous phantom filled with uniform tissue is accurate enough for wearable antenna design, body-centric channel modeling, etc. Therefore, it is interesting and necessary to investigate the novel approach...
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...
We propose a semi-informative aware approach using the topic model on query expansion problem in the biomedicine domain. the demographics and disease information is applied to semi-structure the topic model as the “known” label, compared to the traditional latent topics in topic modelling. Then, we suggest to select three terms from the top ranked documents to expand the query, based on the assumption...
There is a growing interest in applying computational intelligence in the predictive toxicology (PT) domain, where a large number of predictive models are becoming available. Evaluation of such models is therefore considered to be a crucial part of their development and potential use, especially for regulatory purposes. The current evaluation approaches mainly focus on statistical measures of model...
The mathematical modeling and simulation usually gets a high-index differential-algebraic equation (DAE) system. The structural index reduction algorithms can reduce high-index DAE to low-index DAE. In order to solve the failure of the structural index reduction algorithms in some cases, the authors firstly analyze the combinatorial relaxation algorithm. Then some key algorithms in the implementation...
There are relationships between firm's operational activities and financing decisions. Goods is a base for operation management, while trade credit plays an important role in firm's financing decision. This paper integrates these two important concepts through inventory decision. By introducing the factors, such as financial distress cost and bargaining power, this paper discusses how firm make his...
We propose a new approach for analyzing the Japanese government bond (JGB) market using text-mining technology. First, we extracted the feature vectors of the monthly reports from the Bank of Japan (BOJ). Then, the trends in the JGB market were estimated by a regression analysis using the feature vectors. As a result of comparison with support vector regression and other methods, the proposal method...
Contemporary industry trends and business practices, such as global sourcing, decentralized production, reduced number of suppliers etc., make supply chains more susceptible to disruptions which have caused severe domino effects in the past few years. This paper addresses a supply chain disruption problem with recovery from disruptions. Two types of producers are assumed to exist inside and outside...
For a power grid integrated with wind farms, power output predication of wind turbines would influence the accessibility as well as its economy of dispatch schemes. We applied the GARCH algorithm into construct wind speed model, which has excellent characteristics to tracing the variation of the fluctuated time series. With power curve versus wind speed, wind power is easily gotten by putting the...
An in vitro exposure system, based on a Wire Patch Cell (WPC) and operating in the whole band of the Wi-Fi signal, has been fabricated and characterized. The system enables the contemporary exposure of four 35 mm Petri dishes and can be inserted into a commercial incubator. Results of both simulations and measurements indicate a good behavior in the band. The mean efficiency, in terms of Specific...
In order to explore the competition dynamics and determine how they affect the audience rating of TV stations, a dynamical model of TV stations is proposed and discussed in this paper. This model shows the well known appearance of `winner-take-all' phenomenon among the fierce competition from many TV stations. And then, dynamics competition analysis between two TV stations is discussed in detailed...
Based on the background of analysing "expert power" in data fusion technology, we put forward the problem of "expert power" fusion to be solved in real estate appraisal. By determining the fusion criteria and building the information model of reliability, we establish the appraised algorithm of information fusion. This method can improve the accuracy of evaluation, reduce the error...
In this paper, theories of Chi-square test of multinomial distribution and contingency table analysis, and their applications in customer satisfaction are introduced, and empirical analyses are carried out.
This paper discusses a portfolio selection problem with type-2 fuzzy future returns involving interval numbers considering the investor's subjectivity. Since this proposed problem is not well-defined due to primary and secondary fuzziness, introducing the possibility measure that the total return is more than the target value, the main problem is transformed into the type-1 fuzzy programming problem...
The Prestige crisis proved the importance of developing scientific- and application-oriented activities which allow us to improve the oil spill preparedness and response systems having efficient tools to minimize the spill impact in case of an emergency. In this work a methodology has been developed in which oil spill risk is calculated assuming its dependency on the hazard, H, and vulnerability,...
Marketing competitiveness is the core of enterprise competitiveness. How to measure and evaluate marketing competitiveness is the important issue that facing enterprises marketing. This study explores the measurement of marketing competitiveness. The authors put forward with a framework for measuring marketing competitiveness including five facets as product, distribution, service, personnel and industry,...
In Data envelopment analysis (DEA), the best performers are called DEA efficient and the efficiency score of a DEA efficient unit is denoted by unity. Ranking DEA efficient units is an interesting subject. This paper proposed a super-efficiency DEA model based on slack-based measure to evaluate engineering camouflage projects. A slack-based measure of DEA model was introduced, and then it was extended...
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