• Title/Summary/Keyword: 네트워크화

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Evolutionary Hypernetwork Model for Higher Order Pattern Recognition on Real-valued Feature Data without Discretization (이산화 과정을 배제한 실수 값 인자 데이터의 고차 패턴 분석을 위한 진화연산 기반 하이퍼네트워크 모델)

  • Ha, Jung-Woo;Zhang, Byoung-Tak
    • Journal of KIISE:Software and Applications
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    • v.37 no.2
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    • pp.120-128
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    • 2010
  • A hypernetwork is a generalized hypo-graph and a probabilistic graphical model based on evolutionary learning. Hypernetwork models have been applied to various domains including pattern recognition and bioinformatics. Nevertheless, conventional hypernetwork models have the limitation that they can manage data with categorical or discrete attibutes only since the learning method of hypernetworks is based on equality comparison of hyperedges with learned data. Therefore, real-valued data need to be discretized by preprocessing before learning with hypernetworks. However, discretization causes inevitable information loss and possible decrease of accuracy in pattern classification. To overcome this weakness, we propose a novel feature-wise L1-distance based method for real-valued attributes in learning hypernetwork models in this study. We show that the proposed model improves the classification accuracy compared with conventional hypernetworks and it shows competitive performance over other machine learning methods.

An Associative Search System for Mobile Life-log Semantic Networks based on Visualization (시각화 기반 모바일 라이프 로그 시맨틱 네트워크 연관 검색 시스템)

  • Oh, Keun-Hyun;Kim, Yong-Jun;Cho, Sung-Bae
    • Journal of KIISE:Computing Practices and Letters
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    • v.16 no.6
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    • pp.727-731
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    • 2010
  • Recently, mobile life-log data are collected by mobile devices and used to recode one's life. In order to help a user search data, a mobile life-log semantic network is introduced for storing logs and retrieving associative information. However, associative search systems on common semantic networks in previous studies provide for a user with only found data as text to users. This paper proposes an associative search system for mobile life-log semantic network that supports selection and keyword associative search of which a process and result are a visualized graph representing associative data and their relationships when a user inputs a keyword for search. In addition, by using semantic abstraction, the system improves user's understanding of search result and simplifies the resulting graph. The system's usability was tested by an experiment comparing the system and a text-based search system.

Anomaly Detection Using Visualization-based Network Forensics (비정상행위 탐지를 위한 시각화 기반 네트워크 포렌식)

  • Jo, Woo-yeon;Kim, Myung-jong;Park, Keun-ho;Hong, Man-pyo;Kwak, Jin;Shon, Taeshik
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.27 no.1
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    • pp.25-38
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    • 2017
  • Many security threats are occurring around the world due to the characteristics of industrial control systems that can cause serious damage in the event of a security incident including major national infrastructure. Therefore, the industrial control system network traffic should be analyzed so that it can identify the attack in advance or perform incident response after the accident. In this paper, we research the visualization technique as network forensics to enable reasonable suspicion of all possible attacks on DNP3 control system protocol, and define normal action based rules and derive visualization requirements. As a result, we developed a visualization tool that can detect sudden network traffic changes such as DDoS and attacks that contain anormal behavior from captured packet files on industrial control system network. The suspicious behavior in the industrial control system network can be found using visualization tool with Digital Bond packet.

The Analysis of Patterns and Strategies of Standards Competition in Telecommunications Industry (정보통신산업의 표준화 경쟁의 유형과 전략에 관한 연구)

  • Park, Wung;Park, Jong-Bong;Kim, Young-Tae
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2001.05a
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    • pp.591-596
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    • 2001
  • Many consumption goods, most notably in network markets including the telecommunications industry, exhibit network externalities. For that reason, standardization is the tore Issue in network markets with powerful positive feedback. firms in the telecommunications industry compete intensively against one another to build on early lead due to w inertia and network externalities. Therefore, a firm's strategies err very important in standards competition. In this paper, we'll examine the patterns of standards competition and cooperation, anti a variety of firms' strategies in the telecommunications industry. And then, we'll examine the trend of the change from standard competition to standard cooperation. After that, we'll suggest the national policies for the preemption.

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Concept Network-based Personalized Web Search Systems (개념 네트워크 기반 사용자 인지형 웹 검색 시스템)

  • Yune, Hong-June;Noh, Joon-Ho;Kim, Han-Joon;Lee, Byung-Jeong;Kang, Soo-Yong;Chang, Jae-Young
    • Journal of Internet Computing and Services
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    • v.12 no.2
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    • pp.63-73
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    • 2011
  • In general, conventional search engines provide the same search results for the same queries of users, and however such techniques do not consider users' characteristics. To overcome this problem, we need a new way of personalized search which returns customized search results according to users' preference. In this paper, we propose a concept network profile-based personalized web search system in which the concept network is developed for accumulating users' characteristics. The concept network-based user profile is used to expand initial search queries to achieve personalized search. The concept network is a network structure of concepts where each concept is generated whenever each query is submitted, and it can be defined as a set of keywords extracted from the selected documents. Furthermore, we have improved the concept networks by augmenting intent keywords of each concept with a set of classification tags, called folksonomy, assigned to each document. For an additional personalized search technique, we propose a new re-ranking method that analayzes the degree of overlapped search results.

Range-free localization algorithm between sensor nodes based on the Radical Line for Sensor Networks (센서 네트워크를 위한 Radical line을 기반으로 한 센서 노드간의 Range-free 지역화 알고리즘)

  • Shin, Bong Hi;Jeon, Hye Kyoung
    • Journal of Digital Convergence
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    • v.14 no.8
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    • pp.261-267
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    • 2016
  • In this paper, we studied the range-free localization algorithm between sensor nodes based on the Radical Line for sensor networks. Routing in wireless sensor networks should reduce the overall energy consumption of the sensor network, or induce equivalent energy consumption of all the sensor nodes. In particular, when the amount of data to send more data, the energy consumption becomes worse. New methods have been proposed to address this. So as to allow evenly control the overall energy consumption. For this, the paper covers designing a localization algorithm that can obtain the location information of the peripheral nodes with fewer operations. For the operation of the algorithm is applicable Radical Line. The experimental environment is windows 7, the Visual C ++ 2010, MSSQL 2008. The experimental results could be localized to perform an error rate of 0.1837.

The Design of Robot Arm based on the Morphological and Neurological Model of Human (인간의 신경학적.형태학적 모델에 기반한 로봇 팔 설계)

  • Choi, Hyeong-Yoon;Moon, Yong-Sun;Kim, Yi-Gon;Bae, Young-Chul
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2007.04a
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    • pp.131-134
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    • 2007
  • 본 논문에서는 현재까지 나타난 휴머노이드 로봇의 문제점을 극복하고, 미래형 로봇의 발전방향인 "개방화", "네트워크화", "모듈화" 개념을 만족하는 새로운 구조를 설계하기 위한 인간 팔의 형태학적 신경학적 모델을 제시하고 이를 기반으로 한 휴머노이드 로봇 팔 설계 방법을 제시하였다.

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