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The visual inspection can help to reveal patterns that would be computationally rather difficult to reveal. The aim of this paper is to present a program to visualize DNA sequence and cluster analysis this sequence. The program visualizes either whole given sequence, or some fragments of it uses track-based visualization. Entire system is implemented in the programming language C#.
To solve the problem of recognize the causation factor characteristics of emergency in supply chain in different industries, the paper established causation factor index system of emergency in supply chain based on system analytical method, and at the same time, put forward a causation factor characteristics recognition model for emergency in supply chain based on principal component analysis and...
The greenhouse micro-climate has many characteristics such as strongly nonlinear, large time delay, strong coupling, strong interference, time-varying. Studying on the modeling and simulation of greenhouse micro-climate is the foundation to establish the ability to automatically control the greenhouse micro-climate and characteristics for our climate of controlled environment agriculture. In this...
Logistics programming in natural involves dispatching commodities to distribution centres in disaster areas as soon as possible so that relief operations are accelerated. In this study, three planning models are to be integrated into a natural disaster logistics decision support system. The system readily decomposed into three problems the first one being fuzzy clustering disaster grades by historical...
Environmental problem is an unavoidable issue in the process of economic development. So immediately after Environmental Kuznets Curve (EKC) was first posed, it became the centre of the field of ecological economy. Based on the reference study and theoretical analysis, this paper makes a conclusion that the study method needs to be further polished and that cluster analysis is a good approach. This...
Bus incident are random, while its prediction is a nonlinear time-varying system, and is difficult to use mathematical models to achieve accurate modeling .The paper presents a real-time forecasting method of bus incident based on a dynamic fuzzy-neural network .First, the paper defines what are called bus incident, and then analyzes the factors that will lead to bus incident. Introduce using cluster...
An improved shots clustering key-frame extraction algorithm based on entropy is presented. Using the color information in the video frames, the algorithm looks every frame of a shot as a special sample and selects appropriate feature. And then through the improvement of the clustering analysis of video sequences to acquire the center value of various classes and the membership degree of every sample...
In this paper, we propose a novel model for unsupervised Chinese event extraction. We use a multi-information fusion technique to combine two kinds of information for knowledge representation of event instances: language features and structure information. Then, we perform our proposed XLS-means Clustering Algorithm to group the candidate event instances into a "natural" number of clusters,...
In recent years, industrial clusters in Zhejiang tend to expand outward. Consequently, the innovation network based on the industrial cluster is faced with trans-regional restructuring, thus realizing trans-regional integration of innovation resources. This paper firstly reviews the literatures on the innovation network and industrial cluster, then proposes the ways of constructing trans-regional...
Based on the analysis of the characterizing of the emergency knowledge, an automatic constructing of semantic lexicon in emergency domain is proposed. In this paper, five dimensions are designed to represent the words of the emergency domain and an automatic construction system of semantic lexicon is provided. Based on the semantic dimension designed above, Self Organizing Map is applied to unsupervised...
Combined with the actual situation of China's construction enterprises, based on the growth-medium-sized enterprises evaluation method published by “Research for Small Medium-sized Enterprises Development” joint research projects group, and by using fuzzy clustering analysis to analyze the eight evaluation index systematically which determine the enterprises growth, the sorting of evaluation index...
Recently, there have been many advances in the research underlying condensed co-change graph, but most research has focused on the discovery of the graph feature. There still few works have done with consideration that the mass unchanged artifacts profoundly effect on the clustering. This paper presents a method for constructing more accurate condensed co-change graph. By using random walk, all the...
In order to balance power usage in heterogeneous sensor networks, the LBGC (Load balancing group clustering) strategy is proposed based on the clustering model. The LBGC protocol periodically selects cluster heads and implements dynamic route calculation according to the condition of energy distributing of network, which could make full use of the heterogeneous energy to realize load balance. Simulation...
The recent interest in Wireless Sensor Networks has led to a number of clustering algorithms that use the limited energy available at sensors more efficiently. In this article, we present a heritable clustering algorithm based on HEED for low energy wireless sensor network. It brings in appointment mechanism to reduce the cluster head reelect overhead efficiently. In the cluster, TDMA communication...
The K-NN query algorithm is a widely used algorithm in the spatial database, effectively carrying on K-NN query algorithm has become the focus problem of the spatial database, the traditional query algorithm will adopt the measurement distance and pruning strategy to improve the query performance by using the tree index, it needs to carry on a large amount of distance calculation to exclude the unnecessary...
Industrial cluster, like the organism, has its own process of evolution. Clusters from birth to the growth stage, have completed the initial accumulation of capital, and began the evolution to the mature stage. How to successfully evolve becomes the research focus in the majority of scholars. In this paper, we study the dynamic factors of the growth stage of industrial clusters in HeBei Provice, JingXian...
In this paper, we used the CHINA-VALS scale to analysis the influence of the values and lifestyle on China's mobile phone buyers. On the basis of survey data, through factor analysis and K-means cluster analysis this paper segment consumer into four groups; Next, we researched the demographic factors and product purchase intention in use of chi-square tests; Finally, we did chiasma analysis on the...
Considering a Supervisory Control And Data Acquisition (SCADA) system has been installed in many municipal water supply networks, the water network scale mostly is big and the district meter area (DMA) have not been realized in China, a leak detection model based on the cluster-analysis and fuzzy pattern recognition theorem is introduced. First, computer simulation of pipe leak is realized, and a...
Researched on the characteristic of the traffic flow, a new method of abnormal data detection on traffic flow based on the curve-fitting is presented. First, the historical data on traffic flow are divided into the traffic flow with high speed and the traffic flow with low speed by the clustering analysis. Then, the algorithm on the determination safety zone scope is obtained by the curve-fitting...
This paper designs a system of 27 indicators to measure regional intellectual capital. Based on this system, we collected the date of these indictors of the year 2006 from all 29 provinces & cities of China; and we estimated the intellectual capital level of the 29 regions by the method of Principal components analysis and Cluster analysis. It is showed that intellectual capital is strong in eastern...
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