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Clustering of multimodal data according to their information content is considered in this paper. Statistical correlations present in data that contain similar information are exploited to perform the clustering task. Specifically, multiset canonical correlation analysis is equipped with norm-one regularization mechanisms to identify clusters within different types of data that share the same information...
Exponentially increasing demands for higher data rates and quality of service cannot be satisfied by delivering more power as higher power levels may reduce Signal-to-Interference-plus-Noise Ratio (SINR) with negative impact on overall system performances. Simultaneously, the continuous shrinking in transistors size for denser circuits integration, following Moore's law, will be constrained by the...
As a new form of business, electronic commerce is becoming vital for Chinese economy. Due to the limited available information, the limited accuracy of the information and the limitations of the statistics methods, the traditional research methods are not effective. In this study, in order to provide guidance for the related decision making and research, the method of grey relational analysis (GRA)...
IPO (Initial Public Offerings) pricing is a systematic and complicated task that directly determines whether the capital market is able to function in a healthy way. As China's stock market goes through ups and downs, China Securities Regulatory Commission generally adopts a positive strategy. Therefore, to weaken the policy factors, 48 cases of IPO companies dated from January 2014 to February 2014...
Existing clustering algorithms need to specify the number of clusters and to select initial points using human input, which lead to inferior clustering and optimisation outputs. Here, an improved grey decision-making model based on the thought of affinity propagation algorithm and grey correlation analysis is proposed to solve these problems. According to the panel data class and the inter-class candidate...
For the multi-index decision problem with uncertain information, this paper introduces the definition of interval distance of three-parameter interval grey number, proposes the relative degree of grey incidence based on interval distance of three-parameter interval grey number, constructs the grey incidence decision-making model with three-parameter interval grey number, measures the relative degree...
Particulate matter 2.5 (PM2.5) pollution has become one of the most urgent issues to be addressed in China. The anthropogenic reasons of PM2.5 formation have considered to be highly related to local economic development model, industrial structure, energy structure and fast urbanization. The aim of this study is to explore the quantitative relationship between PM2.5 and anthropogenic factors in China...
Alternative polyadenylation (APA) can lead to various mRNA isforms differing in their 3' UTR, which contributes to the dynamics of gene regulation, including stability, localization and translation of mRNA. However, clustering of genes using poly(A) site data has not been extensively studied. Here we constructed a two-layer model based on canonical correlation analysis (CCA) to explore the clustering...
This paper studied the spatial distribution of Wuhan land use degree in 2015. In addition, the spatial autocorrelation of land use degree and its impact factors were analyzed, including population density, primary industry, secondary industry, tertiary industry, road density and terrain relief degree. A spatial autoregressive model and Bayesian Geographically Weighted Regression (BGWR) was established...
The purpose of the present study is to empirically investigate whether national culture has an impact on cybersecurity development. We used methods of correlation and hierarchical regression to analyse two sets of indices; the global cybersecurity index of 2015 and Hofstede cultural dimension index. The research discovered that there exist a significant correlation between cybersecurity development...
As the elderly population grows, the number of people with dementia is also increasing. If dementia is detected at an early stage, it is possible to slow its progression. Patients with Alzheimer's disease, a type of dementia, show some specific EEG patterns, and we have therefore been investigating EEG analysis to detect Alzheimer's disease. In this paper, we propose a method that evaluates the phase...
Cognitive radio (CR) was proposed in wireless communications to improve spectral efficiency based on the concept of opportunistic spectrum access. Because orthogonal frequency division multiplexing (OFDM) has become the major access technique, an efficient spectrum sensing technique targeted at OFDM-based signals is one of the primary requirements of CR networks. To reduce computational complexity,...
Stock market dynamics is of great importance to researchers from diverse fields. Network Analysis of stock data can play an important role in the study of stock market. In this paper, network based data mining of stock market is done to identify crucial players. Stock market network in United States created based on dynamics of stocks over one year captured as daily time series, is used for the analysis...
Stock market analysis is a very popular area of research. Achieving good prediction in forecasting the stock markets is a very challenging task. The prediction of the future stock markets is done using cascading statistical models. This paper investigates the MCX commodity (Gold) on which the model is applied. Objective: To predict the trend of the gold commodity will remove the uncertainty in the...
First of all, the paper carries out mission analysis according to the threat faced in the combat capability requirement generation of the new naval gun weapon system. Combat mission is described from the micro level and the meta-task sequence is formed through the decomposition method. Secondly, the new naval gun combat capability index system is constructed, the paper analyzes the mapping relationship...
In complex networks, identifying influential nodes is the very important issue, which has a wide range of applications. In this paper, factor analysis method is used to mine the relationships of multiple metric measurements, and then a new evaluation method of node importance in complex networks based on modified technique for order performance by similarity to ideal solution (TOPSIS) approach is...
The comprehensive index system is a prerequisite and basis for ensuring the scientific performance of the product performance evaluation, so, the screening of the index is the necessary link in the construction of the index system. The paper regards the armored vehicle PHM system as a special product, aiming at the problem that the redundancy of the primary index set of the armored vehicle PHM system...
Testability optimization is an important part of testability design. In the past, testability optimization design often neglects the correlation between testability and reliability and does not pay much attention to the influence of system reliability. Considering such circumstance, this paper studies the impact of the basic reliability of the system and the Built-In Test (BIT) working mode. Different...
Existing research on layout of the marine industry is still at a scattered exploration stage, and results calculated with a relatively mature grey correlation method indicate that China is divided into three major industrial correlation regions with Shandong, Shanghai and Hainan as the core respectively while marine departments are still lack of correlation among them. According to calculation results...
Continuous haze in China has become a social concern that affects people's moods and behavior. This paper uses GARCH model to examine whether air quality can be a proxy variable of emotion to affect stock market. The paper compounds national Air Quality Index (AQI) weighted by the proportion of investors in certain regions, as well as taking in all available data that ranges from January 1, 2014 to...
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