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From the viewpoint of flexible strategy and network innovative height, industrial clusters possessed significant regional characteristics and strategic competition become the research objects in the paper. Three networks such as dynamic distribution networks, agile trading network and open social relation network and so on successfully operate in regional economy environment of liaoning province....
This article used the multi-level fuzzy quality synthetic evaluation principles to evaluate a Beijing enterprise's culture construction. Screening a representative building of enterprise culture a total of 21 indicators of four main types of fuzzy statistics and then use the set-valued iterative method gives the weight for each indicator, using multi-level fuzzy comprehensive evaluation of the technologies...
With the arrival of service economy and the development of service marketing, the service quality and customer satisfaction are increasingly attached importance to the enterprise. How to improve the service quality and make the customer satisfied will be the key factor for retailing to success. In this paper, based on the relationship between the service quality and customer satisfaction, we build...
This paper investigated the relationship between capital structure and corporate performance. Differing from former studies, the paper stood on a special position of small and medium-sized enterprises and evaluated corporate performance by factor analysis method. Based on 608 observations, conclusions show that capital structure can improve corporate performance for small and medium-sized enterprises...
This paper proposes a logistics alliance model of cooperative mechanism integrated by formation, implementation and constraint mechanisms by focusing on the study of "leader-member" logistics alliance. The empirical analysis demonstrates that this model reflects the general law of logistics alliance synergy.
Regional Logistics and regional economy have a significant correlation. From the perspective of the logistics industry agglomeration, using the logistics industry data of 31 provinces in China, selecting three main indicators impact on the regional logistics industry based on previous research, entropy method and cluster analysis, combining to have a empirical study on overall development and characteristics...
Discovering semantic correspondences between ontology elements is a crucial task for merging heterogeneous ontologies. Most ontology merging tools use several methods to aggregate and combine similarity measures. In addition, some of the ontology merging systems exploit external resources such as, Linguistic Knowledge Bases (e.g. WordNet) to support this task. However, the quality of their results...
We consider statistical data analysis in the interactive setting. In this setting a trusted curator maintains a database of sensitive information about individual participants, and releases privacy-preserving answers to queries as they arrive. Our primary contribution is a new differentially private multiplicative weights mechanism for answering a large number of interactive counting (or linear) queries...
Various attribute and relation information is used in social recommendation systems. However, previous approaches fail to use them in a unified way. In this paper, we propose a unified framework for social recommendation. Entities like users and items are described by their tags. We model each entity using topic models like Latent Dirichlet Allocation(LDA) and then connect these topic models to form...
After literature review and expert interviewing, the evaluation system indexes of leisure tourism destination were screened and modified to 6 first-level indexes and 26 second-level indexes. These two level indexes were tested acceptable after a statistical analysis is finished with both concentration ratios higher than 7 and coefficient of variations bigger than 0.25. Then the weights of the two...
Most current anomaly detection systems employ supervised methods or unsupervised methods. Supervised methods rely on labeled training data, however, in practice, this training data is typically expensive to produce. In contrast, unsupervised method can work without the need for massive sets of pre-labeled training data, but its accuracy is quite low. This paper put forward a semi-supervised cluster...
The inter-language studies on the textual semantic accessibility scale (SAS) are a new branch of the computational linguistics and the present paper tries to statistically probe into the SASes in English, French and Japanese literature works sampled from the corresponding corpora. Firstly, six control groups are formed by the equidistant texts extracted every 10 pages, 5 pages, 4 pages, 3 pages, 2...
This study is to investigate a number generator based on the curve or fold input and use it to simulate and verify the real world events. The main technology is to use and modify the principle and characteristics of fractal interpolation, in combination of our developed Affine Function of Vertical Distance Selection Method and Initial Point Selection Method, as well as various linear data characteristics...
Value at Risk (VaR) is a commonly statistical tool to measure market risk. In this paper, a mixture method of APGARCH-M model and EWMA algorithm is applied to measure VaR of a portfolio. Empirical study using three stock index of shanghai stock market shows the mixture method is advantageous and accurate to calculate VaR of a portfolio.
Accurate land use/cover (LUC) classification data derived from remotely sensed data are very important for land use planning and environment sustainable development. Traditionally, statistical classifiers are often used to generate these data, but these classifiers rely on assumptions that may limit their utilities for many datasets. Conversely, artificial neural network (ANN) and decision tree (DT)...
This paper proposes a method for the design of adaptive scalar quantizer based on the source statistics. Adaptivity is useful in applications where the statistics of the source are either not known a priori or will change over time. The proposed method first determines two quantizer cells and the corresponding output levels such that the distortion is minimized over all possible two-level quantizers...
In this study, total of 261 soil profiles were reported to investigate the Cu spatial distribution and vertical variation in Guangdong province using geography information system (GIS) and geostatistics. Findings indicated that the Cu geometric mean concentration of 11.2 mg/kg in surface soils is lower than those in China, which ranged from 0.12-98 mg/kg. The influence of soil properties on Cu concentration...
To solve the problems of slow convergence and low computational precision of blind source separation(BSS) based on traditional particle swarm optimization(PSO), a novel approach-based adaptive particle swarm optimization for real-time blind source separation is proposed, in which the observations are linear convolutive mixtures of statistically independent speech sources. It combines the independent...
This paper proposes an Adaptive Fuzzy Classifier Approach (AFCA) to local edge detection in order to address the challenges of detecting latent fingerprint in severely degraded images. The proposed approach adapts classifier parameters to different parts of input images using the concept of reference neighborhood. Three variants of AFCAs, namely K-means-clustering AFCA, Entropy-based AFCA, and Statistical...
At present, most of the studies on the relationship between El Nino Southern Oscillation and agricultural futures focus on perceptual and directly data analysis. This article uses EMD algorithm on endpoints processed data to decompose wheat futures price into seven Intrinsic Mode Function and one Residue. Then do symbolic clustering combined with SSVS method and denoised ENSO index. The results not...
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