• Title/Summary/Keyword: pattern information

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Employing an Energy-efficient Pattern for Coverage Problem in WSNs (무선센서네크워크에서 커버리지 문제를 해결하기 위한 에너지효율적인 패턴)

  • Dao, Manh Thuong Quan;Le, Duc Tai;Ahn, Min-Joon;Choo, Hyun-Seung
    • Proceedings of the Korea Information Processing Society Conference
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    • 2011.04a
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    • pp.601-602
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    • 2011
  • In wireless sensor networks, coverage problem is a fundamental issue that has attracted considerable attention in recent years. Most node scheduling patterns utilize the adjustable range of sensor to minimize the sensing energy consumption. However, a large source of consumption of communication energy of sensor is not strictly taken into account. In this paper, we introduce an energy-efficient pattern that is used to minimize the communication energy consumption of a sensor network. Calculations and extensive simulation are conducted to evaluate the efficiency of the new pattern comparing to existing ones.

Automatic In-Text Keyword Tagging based on Information Retrieval

  • Kim, Jin-Suk;Jin, Du-Seok;Kim, Kwang-Young;Choe, Ho-Seop
    • Journal of Information Processing Systems
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    • v.5 no.3
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    • pp.159-166
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    • 2009
  • As shown in Wikipedia, tagging or cross-linking through major keywords in a document collection improves not only the readability of documents but also responsive and adaptive navigation among related documents. In recent years, the Semantic Web has increased the importance of social tagging as a key feature of the Web 2.0 and, as its crucial phenotype, Tag Cloud has emerged to the public. In this paper we provide an efficient method of automated in-text keyword tagging based on large-scale controlled term collection or keyword dictionary, where the computational complexity of O(mN) - if a pattern matching algorithm is used - can be reduced to O(mlogN) - if an Information Retrieval technique is adopted - while m is the length of target document and N is the total number of candidate terms to be tagged. The result shows that automatic in-text tagging with keywords filtered by Information Retrieval speeds up to about 6 $\sim$ 40 times compared with the fastest pattern matching algorithm.

An extraction of depth information in pattern using directions and slopes (방향과 경사도 분포를 이용한 패턴의 굴곡 성분 추출)

  • Jeon, H.J.;Cho, D.S.;Kim, B.C.
    • Proceedings of the KIEE Conference
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    • 1992.07a
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    • pp.462-464
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    • 1992
  • In this paper, an extraction of depth intonation in pattern using neural network is presented. All the 3D images represent the depth information in grey pixels. This pixels which have analog values translated digital values. Because of the noise and distortion in pattern, we use the normalization in learning and recalling the patterns. Our method has eight direction vectors and slopes for pattern. Also, we use potential to obtain the mean slope and direction vectors of given 3D patches. The higher level of deduction finding the global depth information is also carried out by using neural network.

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A New S/W Architecture for YARA Speed Enhancement (YARA 속도 개선을 위한 새로운 S/W 구조설계)

  • Kim, Chang Hoon
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.41 no.12
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    • pp.1858-1860
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    • 2016
  • In this paper, a modified YARA software architecture that can perform pattern matching for multi-rule files is proposed. Based on a improved scanning thread algorithm, the new design reduces memory loading time of rule files for pattern matching. Therefore, the proposed architecture can reduce operation time for pattern matching while it requires an increased memory in proportion to the number of rule files.

Hybrid Pattern Recognition Using a Combination of Different Features

  • Choi, Sang-Il
    • Journal of the Korea Society of Computer and Information
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    • v.20 no.11
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    • pp.9-16
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    • 2015
  • We propose a hybrid pattern recognition method that effectively combines two different features for improving data classification. We first extract the PCA (Principal Component Analysis) and LDA (Linear Discriminant Analysis) features, both of which are widely used in pattern recognition, to construct a set of basic features, and then evaluate the separability of each basic feature. According to the results of evaluation, we select only the basic features that contain a large amount of discriminative information for construction of the combined features. The experimental results for the various data sets in the UCI machine learning repository show that using the proposed combined features give better recognition rates than when solely using the PCA or LDA features.

Research of method prevent to illegal use of Credit Card (신용카드 부정사용 거래 예방을 위한 대처 방안 연구)

  • Pu, Chang Hee;Jun, Moon Seog
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.8 no.3
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    • pp.147-156
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    • 2012
  • Most people in our society use credit card instead of cash or check, so credit card is very important economic method. Credit card supposed to be safe, but hackers hack credit card for illegal deal. Also hackers make fake credit card and issue fake credit card to other people. In this thesis it will study and analyze damage case for safe credit card deal. It will use safe credit card system to insert variety of information and data of using pattern in artificial intelligence network, so print out the possibility of risk and monitor the risk of credit card user's deal pattern, so if one of user's pattern is different than normal pattern, it will pop up message in consultant's screen. This thesis will study and suggest way of prevent from illegal deal and user friendly credit card checking system.

A Methodology for Searching Frequent Pattern Using Graph-Mining Technique (그래프마이닝을 활용한 빈발 패턴 탐색에 관한 연구)

  • Hong, June Seok
    • Journal of Information Technology Applications and Management
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    • v.26 no.1
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    • pp.65-75
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    • 2019
  • As the use of semantic web based on XML increases in the field of data management, a lot of studies to extract useful information from the data stored in ontology have been tried based on association rule mining. Ontology data is advantageous in that data can be freely expressed because it has a flexible and scalable structure unlike a conventional database having a predefined structure. On the contrary, it is difficult to find frequent patterns in a uniformized analysis method. The goal of this study is to provide a basis for extracting useful knowledge from ontology by searching for frequently occurring subgraph patterns by applying transaction-based graph mining techniques to ontology schema graph data and instance graph data constituting ontology. In order to overcome the structural limitations of the existing ontology mining, the frequent pattern search methodology in this study uses the methodology used in graph mining to apply the frequent pattern in the graph data structure to the ontology by applying iterative node chunking method. Our suggested methodology will play an important role in knowledge extraction.

Design of focal length of Moire lens according to lens phase pattern (렌즈의 위상 패턴에 따른 무아레렌즈의 초점거리 설계)

  • Park, Sungwoong;Kim, Youngrok;Min, Sung-wook
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • fall
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    • pp.144-145
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    • 2021
  • Variable range of focal length of Moiré lens is designed to change the phase pattern, which is varifocal lens system using two thin layers with Moiré pattern and suitable to applied to AR/VR system because of the relatively simple structure, large aperture size, and wide variable range. We analyze the change of focal length region according to the phase pattern and verify the design to make the prototype patterns using DOE.

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Implementation of Geosensor Interface using Object Oriented Design Pattern (객체지향 설계 유형에 의한 지오센서 인터페이스 구현)

  • Baek, Jeong-Ho;Lee, Hong-Ro
    • Journal of the Korean Association of Geographic Information Studies
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    • v.9 no.3
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    • pp.193-206
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    • 2006
  • This paper proposes The Efficient method that should design Geosensor model based on object oriented design pattern and implement the Geosensor network interface system using JBuilder. Such as geosensor technology will be to a new research paradigm of GIS which can manage a great quantity of field information by means of constructing the real time remote sensing network. The technology that integrates object oriented design pattern Geosensor interface network with GIS will be necessary elements that satisfy the function of GIS increasing day by day. Therefore, we would like to utilize GoF design pattern in order to change for the better object oriented Geosensor middleware. This paper shall contribute to implementing the optimal Geosensor interface that can develop reusable, modular and modifiable software by using the object oriented design pattern.

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A Design and Implementation of JiKU/XML Object-oriented Code Generator Using for Design Pattern (디자인 패턴을 이용한 JiKU/XML 객체지향코드 생성기 설계 및 구현)

  • Sun, Su-Kyun
    • The KIPS Transactions:PartD
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    • v.11D no.4
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    • pp.907-916
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    • 2004
  • The present code generation system, developing based on single system, Is not easy for developers or maintenance men to share pattern design information in distribution environment. So in this paper, we design and implement XML as basis of web environment, and JiKU/XML object-oriented code generator using pattern design. We use UML to change pattern design to XML code, and create code, suitable to PIML command, to generate design information designed by UML into XML code. This JiKU/XML Object-oriented Code Generator makes 10-step codes, and can be easily applied to web environment. It complements the disadvantage of present generator, F77/J++, and makes standardization of design because it uses UML and design pattern information. We compare it with present system by implement Eases, and as a result, generator suggested in this study gives more effective function.