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Sleep apnea is identified by repetitive reduction or complete cessation of breathing during sleep. Sleep apnea affects cerebral hemodynamics and it is important to study this effect. Measuring cerebral blood flow during sleep is challenging due to the need to maintain a contact between the flow probe and the skull. It is hypothesized that there exists a relationship between the variations in the exhaled...
To investigate spatial distribution properties of the cardiac- and respiratory-driven cerebrospinal fluid (CSF) motions in the intracranial space, correlation mapping technique was conducted. Time series of CSF velocity were acquired in 7 healthy subjects of 26±5 years old under by asynchronous 2-dimensional phase contrast (2D-PC) method with 217-msec temporal resolution. The delay time and maximum...
This paper presents a methodology to extract the respiration from a single-lead ECG waveform using the iterated Hilbert transform (IHT) technique. It is proposed that the amplitude components (envelopes) obtained in the initial iterations of the ECG decomposition using the IHT technique contain the information about the respiration, and these amplitude components can be utilized to estimate the respiration...
This research paper is part of an ongoing research project to enhance the usability of an Online Airline Reservation System by making them more flexible. The usability of an online airline reservation system cannot be predicted without considering the flexible behavior of travelers. However, travelers' flexible behavior is molded by a number of service quality attributes. In this paper, service quality...
Compared with the existing conventional frequency correlation algorithm which needs both Fast Fourier Transform (FFT) and Inverse Fast Fourier Transform (IFFT), an modified frequency discrete correlation algorithm only needing FFT is presented and deduced in new ways based on the correlation theorem. Also simulation experiments of the algorithm for periodic signals and mixed signals composed by periodic...
In this paper, a new identification technique based on a Kendal Rank Correlation Model is described. The method is based on the exploitation of a text vector model in the area of the text similarity detection issue. This study is divided into two stages: In the first stage the Text Vector Model (TVM) is described. In the second stage the Kendal rank correlation coefficients, which are obtained from...
Solar radiation is assumed to be one of the main sources of photosynthesis, Irradiation time and radiation intensity both have impact on plant growth. The study use correlation coefficient to quantitative analysis relationship between solar radiation in growing season and grain yield per unit, and draw the conclusion that it does not necessarily that region with a high solar radiation has a large...
In previous studies, the correlation between the vegetation index and meteorological factors were investigated with in intervals defined by the day-of-year. Compared with the day-of-year, the accumulated growing degree days (AGDD) more effectively reflect vegetation growing stage, which serves as important references in agricultural management and disaster prediction. From this end, it is also worth...
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...
Understanding the field-driven microscopic magnetization reversal in a disordered ferromagnetic (FM) film is a fundamentally intriguing issue for the application of a disorder-induced magnetic memory. We present the field dependence of the correlation between local coercivity and switching time in the FM films showing two typical reversal processes: wall-motion and nucleation dominant ones. As the...
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...
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