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Supplier selection is a process in which one supplier is selected out of given suppliers on the basis of certain features such as reliability, maintainence, delivery performance, quality etc. Nowadays, supplier selection problem is a big issue because selection of the best supplier is a multi-criteria decision making (MCDM) problem under many combating criteria. The knowledge of the decision makers...
In order to improve European biodiversity, natural habitats need to be restored and improved within a large European network of protected areas (Natura 2000). Therefore, agricultural land often needs to be converted to nature. Lowering soil nitrogen and phosphorus levels appears to be a necessary prerequisite for a successful restoration. To select which agricultural fields are most suitable for conversion...
Some spectrum indicators, such as central length, SNR, spectral resolution affect accuracy of water quality retrieval, but are ignored due to the limitations of a single sensor. Take Chlorophyll a retrieval as an example, the sensitivity analysis was conducted using single band, first-order differential and band ratio methods. The results indicated that optimal central wavelength would change because...
Band selection is an effective approach to mitigate the “Hughes phenomenon” of hyperspectral image (HSI) classification. In this paper, a novel squaring weighted low-rank subspace clustering band selection (SWLRSC) algorithm is proposed for hyperspectral imagery. The SWLRSC method can effectively capture the global structure information of the HSI band set by constructing a strongly connected adjacency...
A huge limitation of the correlation analysis in existing scatterer model is that the former model, only consisting of uniformly distributed scatterers, ignores the variability of complex scattering intensity in real situation. In fact, each part of the target has a different scattering architecture. Moreover, the scattering intensity of pinnacle or boundary scattering structure is an order of magnitude...
High-voltage direct current system based on voltage source converters (VSC-HVDC) is widely recognized as a feasible solution to cope with increasing electricity demand and integrate renewable energy sources. One of the most important issues still to be addressed is the protection of the system under DC line fault, especially for the situations using overhead lines due to higher fault frequency. This...
The ocean bio-physical co-variability and its response to climate change have received increasing attention with the accumulation of satellite ocean data sets. Most of the present studies focus either on regional ocean or short time span, lacking a systemetic study of the co-variability of bio-physical parameters in the Pacific. Based on the satellite datasets and re-analyzed datasets from 1997 to...
As the important factors affecting the economic growth, system innovation and technological innovation have been widely attended. But there is little quantitative research on them. According to the theory of grey correlation analysis, this paper calculates the contribution degree to the economic growth through 10 indexes which can measure the system and technological innovation from 2005 to 2014....
Collaborative filtering (CF) is one of the most commonly used recommendation technologies in the recommender systems of e-commerce. However, due to the sparsity of users' rating data and the single ratings similarity, traditional CF algorithms show certain shortcomings. Aiming at these problems, a CF recommendation algorithm based on users' interests and the correlation of items is proposed. By using...
In order to select the better wine grape varieties, and improve wine quality evaluation standards, the paper made a cluster analysis of wine grape samples based on the selected 57 physicochemical indexes. It's also classified different categories of wine grape after comparing the results of the wine quality evaluation. SPSS for canonical correlation analysis was used to find typical indicators, which...
Fingerprint detection is one of the primary methods for identifying individuals. Gray Level Co-occurrence Matrix (GLCM) is the oldest and prominent statistical textual feature extraction method applied in many fields for texture analysis. GLCM holds the distribution of co-occurring intensity patterns at a given offset over a given image. However, images occupy excessive space in storage by its original...
The fault detection and diagnosis is very important for a security of control systems. In this paper, the author presents a fault diagnosis technique of process based on the correlation coefficient in process variables. The process diagnosis function is defined for interrelated variables based on the correlation coefficient(multiply correlation coefficient, generalized correlation coefficient), whether...
With the dramatic competition in the Information Technology (IT) industry, if the IT business wants to obtain a more stable marketplace and maintain a constant source of profits. How to maintain long-term and relatively stable trading relations with customers need to be considered. Further more, they should also encourage customers to generate repurchase intention and conduct buying behaviors. This...
Uncovering dynamics characteristics of 3D wind field is of great importance to understand the mechanisms of gas dispersal and provides useful clues for the optimization of gas source localization algorithms. In this paper, we first use a high precision 3D ultrasonic anemometer to collect the three orthogonal wind speed components and calculate corresponding instantaneous wind speed. Then we employ...
Uncovering the correlations of different flow fields, in terms of time series network analysis, is important and relevant to both engineers and businesses. We first systematically carry out experiments and record different groups of time series signals from the wind field and the gas concentration field simultaneously. Then, we employ the visibility graph method for mapping the experimental measurements...
Data fusion aims at combining the results of sample shots in order to get a forecast on the concentration of pollutants in water, based on the presence of another. This paper presents the relationship between pollutants in the Santiago River by merging of data using statistical analysis methods.
In information services fuzzy concepts are frequently encountered because a customer or client asks a question about something which could be interpreted in many different ways, or, a document is transmitted of a type or meaning which cannot be easily allocated to a known type or category, or to a known procedure. It might take considerable inquiry to “place” the information, or establish in what...
Site diversity method has been used to mitigate the effect of rain attenuation since the beginning of satellite communication era. A distance in site diversity method is designed as short as possible to avoid the effect of rain attenuation at the same time. To achieve more accuracy and reliability in the site diversity design, we propose the spatial correlation factor evaluated from rain gauge network...
The paper deals with the task of formation a joint criteria for the functional state of the person evaluation based on heart rate variability parameters and synchronization degree between the cardiovascular and respiratory systems parameter. It is shown that proposed in previous studies method of forming a criterion of synchronization based on the Fechner's correlation coefficient has a significant...
The aim of this study was to analyze of the efficiency of electricity production from the photovoltaic located in selected areas of the city of Krakow. Analysis was based on data relating to atmospheric pollution and sun exposure in selected areas. In order to take into account all the analyzed models, the analysis used the library MATLAB / Simulink and artificial neural networks. The scope of the...
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