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This paper will establish a reasonable evaluation index system and research method as a solution of main problems. First of all, according to the specific problems on solar house design, evaluation index system is constructed, Then, the idea of integrating the AHP method and the intuitionistic fuzzy entropy method is proposed to determine the weight coefficient of each index; Finally, using the grey...
By using non-Hermitian random matrix theory, the spectra of adjacency matrices of directed complex networks are analyzed. Both the short-range and long-range correlations in the eigenvalues are numerically calculated for typical directed complex networks and compared with the predictions of Ginibre's Ensemble. The spectral density ρ(λ), the nearest neighbor spacing distribution p(s) and the number...
Network science have constantly been in the focus of research for the last decade, with considerable advances in the controllability of their structural. However, much less effort has been devoted to study that how to improve the controllability of complex networks. In this paper, a new algorithm is proposed to improve the controllability of complex networks by rewiring links regularly which transforms...
Using panel data and DK fixed regression, this paper empirically researches the relationship between the board of directors characteristics and internal control quality based on a dataset consisting of listed companies of both Shanghai stock exchange from 2008 to 2012. We find that the internal control quality is significantly inversely associated with general CEO duality, board size, board meetings...
The study presented in this paper sets up a new mixing sample update strategy based on the Kriging model to address the issue of accuracy in complicated engineering optimization problems by adding points dynamically. First, a new optimized Latin Hypercube Sampling experiment design method is established to increase the homogeneity of the sample. Second, a sample update strategy based on local optimization...
Effective monitoring the growth state of seawater phytoplankton plays an important role for the early warning of marine disasters, such as coastal red tides. Grey correlation analysis method was used to select the secondary variables of the soft sensing model. It can effectively reduce the dimension of the system. Extreme learning machine regression (ELMR) method was used to build the soft sensing...
The correlation degrees among carbon emissions and influencing factors help to make correct judgment and insightful short and long term policies for the low-carbon economy. According to the carbon emissions data provided by American Oak Ridge National Laboratory Carbon Dioxide Information Analysis Center (CDIAC), from which we selected the data of world's top 11carbon emitting countries, a comparative...
To transform the Buck-Boost converter from the chaotic state to the periodic orbits, this paper proposes a chaotic control method by improving the correlation between the inductor current and the output voltage. By adjusting the coupling strength, this method can control the chaotic Buck-Boost converter to the period-2, period-4, period-8 orbits and the period-3, period-6, period-9 orbits, without...
For the 2-order auto-regressive process with unknown parameters, further analysis of the effect of the estimation of parameters to the performance of control charts are provided. The influence of the process parameter to the performance of control charts is obvious and the time series process needs to be estimated, so the impact of parameters' valuation is necessary to be analyzed. Some conclusions...
Packing and unpacking are necessary operations in the product distribution processes of mass manufacturing. To reduce unpacking operation numbers, some Chinese enterprises designed an innovative packing strategy. It is refereed as “Multi-Type Mixed Packing with Variable Ratio”. The new packing strategy generates a new optimization problem named as “Minimum Unpacking Problem”. We propose the mathematical...
A transform domain algorithm using channel selecting is proposed for visual saliency in this paper. This algorithm is able to improve the accuracy of the traditional transform domain saliency detection while preserving their advantage of fast processing speed. Based on the image signature algorithm, we select the channels by calculating the correlation values between each channel. Then, the selected...
Under the new historical condition, strengthening the communication and popularization of science and technology is both the requirement to implement the national development strategy and need for social development as well as the basis and key point for the development of popularization of science itself. Relevant data of five characteristic indexes, talents, funds, place, communication and activity...
Based on data mining, the main impact factors of urban life water consumption are made gray relational analysis with the water consumption. The main driving factors of urban life water consumption are discussed. By the gray forecasting of the development trends of the main impact factors, a grey prediction of GM (0, N) model on urban life water is established. An instance proves to fit the data better...
Based on the M&A (merger and acquisition) of Chinese listed companies from 2005 to 2010, this paper empirically studies the relationship between executive rewards and M&A. The M&A samples include types of stock ownership replacement and asset transactions, and they are divided into four sub-samples according to the majority stockholder's characteristics of acquiring companies and whether...
UV/vis spectrometric quantification is widely applied in water quality monitoring systems. The UV/vis spectrum contains a huge amount of information about the water composition so that it can be used to measure the density of substances. However, the traditional methods to estimate densities using spectrum based on Lambert-Beer's law become invalid in UV/vis spectrum because of the strong correlation...
A novel multiple autocorrelation method for single trial EEG feature extraction was proposed. The time courses of ERD/ERS during motor imagery were investigated by calculating multiple autocorrelation before power spectrum analysis. Then the averaged power spectrums on specific frequency bands were sent to a K-nearest classifier to validate the separability between different classes. Compared with...
The application of the multifractal theory in gearbox fault diagnosis has been studied in the paper, and the fractal characteristics of gearbox vibration signals is shown. Based on using EMD, the improved algorithm of multifractal spectrum is put forward, and is applying to extract the fault feature. At last, the fault diagnosis application in gear box takes as the example to prove the feasibility...
A variable template technology is used during the moving target tracking process for overcoming the limitations of the fixed template. This technology updates the template and uses this new template instead of the fixed template in the tracking window. Combining this technology with the traditional cross-correlation tracking algorithm, the tracking accuracy of the new algorithm base on the new and...
There are many performance issues concerned in a semiconductor wafer fabrication facility (fab), such as move, queue length, utility, cycle time, throughput and on-time delivery rate. However, it is difficult to demonstrate their relations to each other. In this paper, the correlation coefficient method is utilized to analyze their relations from plentiful simulation results and obtain some meaningful...
In order to improve the quality of manufacturing cloud service composition, the influence of service statistic correlation on the QoS of cloud service composition was studied, then a cloud service composition & optimization approach supporting for service statistic correlation was proposed in this paper. Firstly, the statistic correlation between cloud services and their influence on QoS was analyzed,...
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