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A brief introduction of the principle of correlation detection is present in this paper. As portable field-test equipment, an optical densitometer is designed with correlation detection technology to increase detection precision. In the process of designing, cross-correlation is applied to extract weak signal from strong noise. Simulation result with MATLAB shows that the correlation detection processed...
Weighted frequent pattern mining is suggested to discover more important frequent pattern by considering different weights of each item, and closed frequent pattern mining can reduces the number of frequent patterns and keep sufficient result information. In this paper, we propose an efficient algorithm DS_CWFP to mine closed weighted frequent pattern mining over data streams. We present an efficient...
Indexes are the kernels of search engines. This paper presents a Combination Inverted Index(CII), which is a new inverted index. CII contains three components: prime inverted index, appendix inverted index and deleted file list. The addition of appendix inverted index and deleted file list construct a new methodology of creating and updating the index. Compared to traditional inverted index, CII updates...
In the paper, we provide a novel routing algorithm (ANRP), which is based on Ant Colony System. The aim of the ANRP is to solve the problem of limited energy for wireless sensor network routing process. It is able to achieve better load balance and prolong the network lifetime. ANRP combines the ratio of the residual energy and the total energy with the distance of any two nodes, which is used as...
“Smart home”, a word that takes the world by storm rapidly over the recent years, is approaching our daily life on multiple fronts, however, the technology does not really involve our daily life. The high concentration of the technology causes the monopolization of such technology, the monopolize of such technology causes the high threshold of the technology, many peopleare not able to afford a high...
The selection and extraction of characteristics item is an important part of the web filtering features sets constructed. This paper presents a method of feature extraction based on information gain which can construct the query feature library effectively during on study of web filtering in vector space model. Test results show that this method is superior to traditional one in feature extraction,...
there is not a good method to find k value when using LSI to reduce dimension of Vector Space Modal. to solve the problem above, an improved LSI dimension reduction algorithm called Dimension Reduction Parameter Produced algorithm (DRPP algorithm), was proposed. it adopts machine learning to find k value,instead of traditional manual set parameter. the k value can be obtained by using fit methods...
Based on the experimental observations and theoretical analysis, we validate that the significant increase of data samples may not bring about the obvious improvement of estimation performance of Parzen windows method. Thus, in this paper, we discuss a new mechanism of selecting representative data samples for Parzen windows method. An importance degree function is defined to evaluate the importance...
In order to help Agent or semantic annotation tool in real-time understanding of the text, this paper presents an ontology module partition method: partitioning large broad-coverage ontologism into small ontology modules and storing the partition in advance, in the stage of real-time, according to the application requirements, selecting the appropriate modular from the ontology modular library, then...
Data classification is an important task of data mining, and developing high-powered classification algorithm is one of the key procedures for data mining. This paper provides an improved K-nearest neighbor algorithm—correlation-based K-nearest neighbor algorithm. This new algorithm makes data classification base on the correlation calculation, and uses a modified probability to improve the computational...
Enterprises safety management with the characteristics of long-term, complexity and indirect benefits determines inland river shipping enterprises to make inadequate investments. It is significant that evaluate the inland river shipping enterprises' level of safety management for enterprises to find out hidden danger, to prevent the occurrence of major accident, and to improve safety assurance ability...
Speaker Recognition is an important branch of speech signal. In the paper, aiming at the limitations of the research of the current speaker recognition, a speaker recognition software-development platform was constructed by means of the object-oriented method. On the base, the Speaker-recognition experiment was carried out using the testing system, at the same time , the differences between linear...
Hand gesture recognition (HGR) is an important research topic because some situations require silent communication with sign languages. Computational HGR systems assist silent communication, and help people learn a sign language. In this article, a novel method for contact-less HGR using Microsoft Kinect for Xbox is described, and a real-time HGR system is implemented. The system is able to detect...
The key of the virtual experiment system for Microcomputer Principle and Interface Technology, a representative of the virtual programmable experiment systems, is to solve the problem of dynamic interaction between the experimental programs and the virtual devices, and it demands high real-time performance. According to the functional needs of the virtual experiment system for Microcomputer Principle...
As the development of science and technology, intelligent electrical appliances are increasing, gradually introducing the embedded microprocessor software to replace hardware to complete the functional and safe control has become an inevitable trend. As the electrical use is directly related to the safety of persons and property, so the safety testing and reliability testing of software are especially...
As software are becoming more and more complex and platforms are increasing of diversity, software industry has faced some unprecedented challenges, such as interoperability. It is difficult to use objected-oriented methodology and traditional software paradigms to meet the challenges. Model Driven Architecture (MDA) has been proposed to solve the problems. In this paper, the principles, the advantages,...
As Chinese government is exploring to establish a unified hospital registration system to solve the general problem of waiting in a long queue to make a hospital registration, correct registration is an efficient way to avoid wasting medical resources and the prerequisite of getting timely inspection and treatment. The purpose of this research is to build a disease self-inspection and hospital registration...
Smart substation is an important part of the smart grid which represents the future direction of development of new technologies in the substation. This paper propose an smart substation information integration scheme based on the IEC61850 standard, and it can simplify the structure of the substation automation system, achieve information sharing of the common network and a seamless connection between...
For improving the retrieval performance of large-scale component repositories, a novel approach of components retrieval, Automatic Tags Extraction(ATE) retrieval, is proposed in this paper. In this method, component tags are extracted automatically from application domain terms, high-frequency terms, high-weight terms and facet terms in description document of component at first, and then the improved...
To meet the requirement of service quality and event filtering of data exchange in application integration, this paper adopts the notification service of CORBA to realize transmission quality service through applying event message. We develop a multi-channel message integration plan which is based on notification service, and provide plug-and-play message servo in the middle of message procession...
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