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Biological data is often represented as networks, as in the case of protein-protein interactions and metabolic pathways. Modeling, analyzing, and visualizing networks can help make sense of large volumes of data generated by high-throughput experiments. However, due to their size and complex structure, biological networks can be difficult to interpret without further processing. Cluster analysis is...
Inspection of food quality is an important operation in food and agro industries. Nowadays computer vision is frequently used for such operations as it can provide fast, economical, non-invasive, consistent and objective assessment. This paper presents a study on identifying the qualitative grades of rice bran using computer vision. The study is performed using three samples of rice bran collected...
The application of micro-blog in Ideological and political education in universities is a new subject. Therefore, it needs a systematic theoretical point of view to guide. Make a scientific analysis of the connotation, characteristics and nature of microblog and study the content, carrier form and construction method of microblog's connotation construction. This paper designed a microblog information...
Research efforts have been devoted to extraction and visualization of vortices in an unsteady (turbulent) flow. Characterizing the behaviors of the flow, vortices are identifiable as regions using a vortex detector known as the lambda2-criterion. Isosurface visualization renders vortex regions based on a chosen isovalue. However, it is highly challenging to choose one isovalue suitable for visualizing...
Insulator is an important guarantee for the safe operation of electrified railway, but because of working conditions, the insulator would face long-term effects of wind, snow and rain. Insulator surface would easily accumulate filth and pollution flashover occurs, which often leads to blackouts and threatens the safe operation of the railway. Therefore, detection of the insulator working state is...
The BRPs require huge investment and have the characteristic of high public welfare. The lack of public participation in decision-making can easily cause the group events. To achieve the maximum public interest, this paper will introduce public participation into BRPs decision-making process. Using intuitionistic fuzzy evaluation, similarity degree method, cluster analysis establish the BRPs interactive...
Selecting relevant features in data modeling is critical to ensure effective and accurate prediction of future effects. The problem becomes compounded when the relevance of previously selected features cannot be guaranteed due to changes in the underlying dataset. We propose an algorithm based on the statistical plaid model for the discovery and tracking of feature relevance scores in datasets that...
The aim of the article is application of entropy defined in combinatorics on words for finite words; entropy function will be applied for solving classification and clusterisation problems.
With the development of cloud computing technology, there are many scientists who want to perform their experiments in cloud environments. Because of the pay-per-use method, it is cost-optimal for scientists to only pay for the cloud services needed for their experiments. However, selection of suitable resources is difficult because they are composed of various characteristics. Therefore, a method...
The feasibility to predict the cruise flight time uncertainty as a function of latest weather forecast parameters is investigated. A cruise flight usually maintains Mach number, altitude and direction, being subject to fluctuations of meteorological parameters such as wind, temperature and pressure. A large collection of the flight time error and the weather forecast parameters is processed from the...
Clustering analysis is usually used to extract the time points in order to give a reasonable divisions of intersection traffic signal time intervals. However, in consideration that the volume is similar while the direction is different or similar cycle while different green ratio, the timing of the signal will be divided into different time periods. In this paper, a two-dimensional clustering analysis...
The paper introduces application of the clustering methods fusion to determine operating states of electrical devices with complex modes of operation. The analysis is based on processing patterns characterizing the energy consumption of device. Pattern is a vector of features extracted from current and voltage signal recorded by specialized meter installed nearby electricity network node. Three methods...
Traffic is a complex system, in terms of functioning as well as organization. Traffic stop, i.e. failure to perform the required transport function from point A into point B, can be caused by variety of circumstances, and one of them is the occurrence of traffic accident. Therefore, it is of a great importance to pay attention to increasing the traffic safety level throughout the implementation of...
In the recent years, the Yangtze River shipping has been developed rapidly, but the bridge constructions worsen the navigation environment and became some blocks in the navigation. This research selects the waterway of the Wuhan Yangtze River Bridge area as the research object, which is the traffic bottleneck in the middle reaches of the Yangtze River because the bridge has 8 piers in the river. In...
In order to avoid the frequent severe crashes, it is crucial to find out the main influential factors of these crashes, according to previous crash data. The paper analyzed the importance of various factors based on the human-vehicle-road system, using two methods of multivariate statistical analysis (cluster analysis and factor analysis). The data of 166 severe traffic crashes, each causing 10 deaths...
At present, all developed countries employing public eProcurement systems create a corpus of generic public procurement fraud schemes. A selection of attributes with fraud suspicion signs is performed. It is necessary to accomplish, first of all, because fraud in the public procurement sphere is one of the most common kinds of frauds. With a view to improve the existing anti-corruption enforcement...
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...
Generally, the big data refers to one of the key topics because of the vast growth of the information and communication technology. The main contributor of networks performance is the traffic of the networks. Although the traffic data generated by individual users may not appear to be significant, the overall data generated across networks can produce a significant portion of the big data. Therefore,...
With data storage and processing technology developing fast, there has been accumulated a great amount of open data that comes from everywhere including social media. One of the promising tools to analyze these data is fuzzy cognitive maps that help to describe connections and substances to reveal patterns, facts and knowledge. One of the problems when creating cognitive maps is the identification...
This paper proposes an approach for development of electrical system. The proposed approach is combination of principal component analysis (PCA) and cluster analysis. This research based on relevant data of total population, gross domestic regional product (GDRP), GDRP of industry, GDRP of business, electric power each customer and energy used for each sector. This development profile is set up to...
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