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In view of social capital theory and network embeddedness theory, the theory model and the concept model are constructed, representing the relationships between a team's internal complex scientific research networks and its research performance. On the basis of scientific research networks establishing and networks structure analysis, the hypothesis model expressing the correlations between a team's...
Statistical analysis is widely used for problem solving in different fields. We present a research on Saint Petersburg morbidity rate. The aim of the work is to detect the heterogeneity in districts of the city with respect to morbidity rate, which was chosen as an indicator of population health. Methods of cluster analysis was utilized for grouping districts to homogeneous sets. Clustering can be...
The technique of massive multiple-input multiple-output (MIMO) in 5G cellular systems could greatly increase the cell coverage size and boost the signal-to-noise power ratio (SNR) for cell-edge UE. However, the suitable beam acquisition for the target cell during handover procedure would greatly increase handover latency and cause service interruption. This paper proposes an enhanced automatic neighbor...
A software developer tends to spend more effort to understand source code written by other developers than code written by herself. Existing research studying the impact of changes made by multiple developers on bug proneness did not consider quantitatively the influence of the order of the changes made by different developers. We found that a significant proportion of source files in many open source...
Based on related statistical data about Chinese cultural consumption, this paper analyzes and compares the regional differences of it in China in the environment, level and tendency of cultural consumption by establishing statistical models, and explores the main influencing factors in different regions. Finally this paper puts forward some policies and suggestions according to the results to elevate...
The objective of this paper is to address a new method based on trend extraction for isolating faults in the nonstationary and nonlinear processes. Firstly, a concise review of the traditional methods for fault isolation based on Hotelling statistic are introduced, a rigorous analysis of their weaknesses, especially the smearing (coupling) phenomena, is provided, and the possible handling strategies...
With progress in the area of computer science, it is achievable to read, process, store and generate information out of the available data. Humongous amount of data is generated, which is of mixed type, including time-series, Boolean, spatial-temporal and alpha-numeric data. This data is generated at a very giant speed and volume, which makes difficult for the traditional clustering algorithms to...
In this paper, we formed prediction intervals using historical similarities, found through the direct correlation. At first, a string of 5 to 20 recent samples is correlated with a long training string of samples. Then, the highest normalized correlation values and corresponding indexes are picked. After that, the amplitudes of the matched samples are adjusted by multiplying the value with the amplitude...
While social networks have become primary promotion platforms for TV series, it's crucial to provide reliable measurements of promotion effectiveness for actors, which can guide them to select better promotion strategies when they post microblogs. In this article, influence indexes are proposed to measure the influence of microblogs, and some measurements on actors' microblogs also indicate and reveal...
This paper proposes an improved cloud-element model for information security risk assessment. Combined with the characteristics of dynamic balance of information security risk, we propose the control means and uncontrollable factors as information security risk evaluation index. The method of constructing the sample cloud has been expatiated, and the correlation between the cloud droplet and the sample...
The paper presents the researches to determine the effectiveness of different criteria to estimate the complex biology objects clustering quality. The gene expression sequences of cancer patients were used as experimental data. The degree of the studied objects similarity was estimated by the comparison of the gene expression sequences profile using different metrics to estimate the objects proximity...
A class imbalance problem often appears in many real world applications, e.g. fault diagnosis, text categorization, fraud detection. When dealing with a large-scale imbalanced dataset, feature selection becomes a great challenge. To confront it, this work proposes a feature selection approach based on a decision tree rule. The effectiveness of the proposed approach is verified by classifying a large-scale...
Aiming at the problem of expert weighting in group decision making, an expert weighting method based on D-S evidence theory is studied. Three ways such as the distance, grey correlation and the combination of these two methods are used to measure the deviation degree of the experts' opinions on the scheme, construct mass function based on this, and uses the D-S synthesis rule to carry on the information...
In order to effectively control the risk of software project and overcome the effect of lack data and human subjective factors in the traditional evaluation, the transformation of quantification and reduction of natural language is realized, so a new evaluation model is put forward. Based on the concepts of risk weight, expert trust, risk consequence and so on, we use the correlation coefficient to...
An improved canonical correlation analysis (CCA) approach for multi-subject blind source separation (BSS) of brain functional magnetic resonance imaging (fMRI) data is proposed. Group-level comparison analysis has attracted increasing interest in the human brain fMRI analysis. Canonical correlation analysis for blind source separation (BSS-CCA) relies on the fact that all meaningful real signals are...
Tourism seasonality refers to the distribution characteristics and trends of relative concentration of tourist flows over a period of time, which reflects the seasonal distribution and duration of tourist season. Based on the monthly data of tourist flow and online booking volume from 2008 to 2012, this paper analyzes the seasonal characteristics of tourist flow during the year, and points out the...
Compressed beam-selection (CBS) exploits the limited scattering of the millimeter wave (mmWave) channel using compressed sensing and finds the best beam-pair with limited overhead. The CBS procedure can further benefit from the knowledge of some additional structure in the channel. As mmWave systems are envisioned to be deployed in conjunction with sub-6 GHz systems, we use the spatial information...
In this paper, the problem of identifying correlated components in a high-dimensional Gaussian vector is considered. In the setup considered, instead of having to take a full-vector observation at each time index, the observer is allowed to observe any subset or full set of components in the vector, and he has the freedom to design his sampling strategies over time. The observer aims to find an optimal...
Time-reversal (TR) transmission scheme has attracted more and more attention from both academia and industry due to its ability to focus the energy of a transmitted signal at an intended focal spot, both in the time and spatial domains. Based on the extensive data collected in the real world, we observe that the energy distribution around the focal spot is highly stationary and location-independent,...
Magnitude-only resting-state fMRI data have been largely investigated via independent component analysis (ICA) for exacting spatial maps (SMs) and time courses. However, the native complex-valued fMRI data have rarely been studied. Motivated by the significant improvements achieved by ICA of complex-valued task fMRI data than magnitude-only task fMRI data, we present an efficient method for de-noising...
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