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In this study, we make a quantitative research on adult physical fitness level by using multivariate statistical analysis methods and econometric models. Based on the data of national physical fitness from Gansu province, we firstly apply factor analysis to study the distribution status of adult physical level of Gansu province. Then, we analyze the influencing factors of eligible rate on the adult...
In order to study the spectral density properties of 900MHz radio signal, the time series theory is introduced into statistical analysis. By means of the statistical data from signal acquisition system, the spectral density analysis principle is introduced. Moreover, both the autoregressive (AR) spectral estimation and autoregressive moving average (ARMA) spectral estimation are taken into spectral...
In order to study the autocorrelation properties of 900MHz radio signal, the time series theory is introduced into statistical analysis. By means of the statistical data from signal acquisition system, the Box-Jenkins method is taken into radio signals analysis. From autocorrelation function calculation, it shows the radio signals exist regularity, nonstationarity and nonseasonal in this period. On...
The study of crop potential model system based on knowledge model and componentware technology may effectively improve the independence of the model system and quantify crop potential. Firstly, based on the statistical models on crop potential output, the paper utilized knowledge model and componentware method to design the model system of crop potential output under distributed computing network...
Spoof detection is a critical function for iris recognition because it reduces the risk of iris recognition systems being forged. Despite various counterfeit artifacts, cosmetic contact lens is one of the most common and difficult to detect. In this paper, we proposed a novel fake iris detection algorithm based on improved LBP and statistical features. Firstly, a simplified SIFT descriptor is extracted...
Spatial and temporal distribution pattern of fire is very important to know the energy release, and protect environment and resources. To get the spatial and temporal distribution pattern of fires in China, ten years' MODerate resolution Imaging Spectroradiaomete (MODIS) fire production data had been selected. The statistic analysis and GIS spatial analysis method had been used. The results showed...
The spatial and temporal distribution pattern of fire is very important to protect environment and resources. In this paper, the spatial and temporal distribution pattern of fires has been studied by using MODIS image and GIS Techniques. The statistic analysis and GIS spatial analysis method have been used. The results showed there are three high density fire regions from spatial and temporal. One...
Online Social Networks (OSNs) become more and more popular in recent years, with almost several hundred million users involved. A lot of research efforts have been done on features like analysis of the structure of user network, statistics of static properties and dynamic characteristics in OSNs, while little is known about the way how the communities of users grow bigger. This paper proposes a new...
This paper uses the method of video cameras collection to gather the vehicle, the bicycle and the pedestrian flow's image material based on the investigation of Beijing's typical signalized intersection. With the aid of the simi software to describe the time and space distribution chart of mixed traffic flow, the statistical method is used to analyze variety of the discharged rate of flow. Integrating...
This paper presents the results of wideband channel measurement campaigns conducted in vehicle environment. A frequency range of 0.5 - 16 GHz was measured using a vector network analyzer. Typical in-vehicle scenarios, including line-of-sight (LOS), non-line-of-sight (NLOS), different distance, impact of passengers, were considered. The objective of this work is to obtain a better assessment of the...
Today's network systems are extensively instrumented for collecting a wealth of monitoring data. Statistical techniques like regression analysis can be applied to uncover rich relationships (e.g., correlation, causality, independence) between the measurement data which are further utilized for systems management tasks including fault diagnosis, configuration management, performance analysis, etc....
This paper describes a new statistical analysis framework for diffusion-based white matter studies. The framework is based on a recent unbiased normalization algorithm for diffusion tensor images. Taking advantage of the fact that most human white matter tracts are thin sheet-like structures, this framework uses deformable medial models to represent six of the major tracts in a white matter atlas...
The m-rep approach pioneered by Pizer (2003) is a powerful morphological tool that makes it possible to employ features derived from medial loci (skeletons) in shape analysis. This paper extends the medial representation paradigm into the continuous realm, modeling skeletons and boundaries of three-dimensional objects as continuous parametric manifolds, while also maintaining the proper geometric...
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