• Journal of Korea Society of Industrial Information Systems
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• v.9 no.1
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• pp.1-6
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• 2004

As optical internet network uses WDM links and provides connection-oriented services, the routing and signaling protocols of Internet should be modified to accomodate optical internet network. This paper provides the routing and signaling protocols proper to optical internet network and designs a network architecture that can support autoconfiguration of optical internet network.

• Proceedings of the Korean Information Science Society Conference
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• 2003.10a
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• pp.151-153
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• 2003

본 연구에서는 웹 문서를 분류하기 위해서 분류하고자 하는 영역(category)에 대한 개념 지식을 이용한다. 먼저, 영역별 개념 지식을 기구축된 웹 문서의 집합으로부터 제목과 하이퍼링크에 기반한 앵커 텍스트를 이용하여 개념을 보유한 키워드를 추출한다. 추출된 키워드를 형태소 분석을 통해 색인어로 추출한다. 추출된 색인어에 대해 TFIDF를 확장한 영역 적용 색인 가중치 TFIDFc를 적용하여 영역별 개념 기반 색인어와 색인를 구축한다. 색인은 TFIDF를 영역별로 확장하여 구축한다. 구축된 영역별 개념 기반 색인을 이용하여 새로운 웹 문서에 대해서 어떤 영역에 해당하는 가를 결정하는 자동 분류 알고리즘을 수행한다. 자동 분류 알고리즘에 의해 수행된 문서는 영역별로 정리되며, 또한, 분류된 웹 문서의 색인어는 새로운 개념 기반 키워드로 추출되어 개념 기반 영역 지식을 구축한다.

• Annual Conference on Human and Language Technology
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• 2018.10a
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• pp.101-105
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• 2018

이 논문은 가장 잘 알려진 어휘부중 하나인 워드넷의 활용 범위 확장을 위해 워드넷 신셋에 "사건구조 프레임(Event Structure Frame)"을 주석하는 연구에 관한 것이다. 워드넷을 비롯하여 현재 사용되고 있는 어휘부는 풍부한 어휘의미정보가 구조화되어 있지만, 사건구조에 관한 정보를 포함하고 있지는 않다. 이 연구의 가장 큰 기여는 워드넷에 사건구조 프레임을 추가함으로써 워드넷과의 연결만으로 핵심적인 어휘의미정보를 모두 추출할 수 있도록 해준다는 점이다. 예를 들어 텍스트 추론, 자연어처리, 멀티 모달 태스크 등은 어휘의미정보와 배경지식(상식)을 이용하여 태스크를 수행한다. 워드넷에 대한 사건구조 주석은 자동사건구조 주석 시스템인 GESL을 이용하여 워드넷 신셋에 있는 예문에 먼저 자동 주석을 하고, 오류에 대해 수동 수정을 하는 반자동 방식이다. 사전 정의된 23개의 사건구조 프레임에 따라 예문에 출현하는 타겟 동사를 분류하고, 해당 프레임과 매핑한다. 현재 이 연구는 시작 단계이며, 이 논문에서는 빈도 순위가 가장 높은 100개의 동사와 각 사건구조 프레임별 대표 동사를 포함하여 총 106개의 동사 레마에 대해 실험을 진행하였다. 그 동사들에 대한 전체 워드넷 신셋의 수는 1337개이다. 예문이 없어서 GESL이 적용될 수 없는 신셋을 제외하면 1112개 신셋이다. 이 신셋들에 대해 GESL을 적용한 결과 F-Measure는 73.5%이다. 향후 연구에서는 워드넷-사건구조 링크를 계속 업데이트하면서 딥러닝을 이용해 GESL 성능을 향상 할 수 있는 방법을 모색할 것이다.

• Convergence Security Journal
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• v.8 no.2
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• pp.57-62
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• 2008

In this paper, we suggest new fast recovery mechanism in RPR network, in case of node addition or removing by exterior attack. A RPR network recovery time is consist of two. Failure detecting time and reporting time are that. In this paper we propose fast recovery mechanism that can reduce each time. In a Legacy recovery mechanism, To report node's state, rpr node transmit protection messages. But interval of this protection messages increase exponentially. Thus A transmission failure of protection message cause delay of reporting of network state. Therefore we propose new node state reporting mechanism that put a node state in type b fairness message. And We also suggest fast failure detecting mechanism.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.11 no.11
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• pp.2059-2071
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• 2007

If the correct structure of Web site is known, the information provider can discover users# behavior patterns and characteristics for better services, and users can find useful information easily and exactly. There may be some difficulties, however, to extract the exact structure of Web site because documents one the Web tend to be changed frequently. This paper proposes new method for extracting such Web structure automatically. The method consists of two phases. The first phase extracts the hyperlinks among Web documents, and then constructs a directed graph to represent the structure of Web site. It has limitations, however, to discover the hyperlinks in Flash and Java Applet. The second phase is to find such hidden hyperlinks by using Web access log. It fist extracts the click streams from the access log, and then extract the hidden hyperlinks by comparing with the directed graph. Several experiments have been conducted to evaluate the proposed method.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.13 no.4
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• pp.141-148
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• 2013

Automated classification systems which utilize machine learning develops classification models through learning process, and then classify unknown data into predefined set of categories according to the model. The performance of machine learning-based classification systems relies greatly upon the quality of features composing classification models. For textual data, we can use their word terms and structure information in order to generate the set of features. Particularly, in order to extract feature from Web documents, we need to analyze tag and hyperlink information. Recent studies on Web document classification focus on feature engineering technology other than machine learning algorithms themselves. Thus this paper proposes a novel method of incorporating feature selection and weighting which can improves classification models effectively. Through extensive experiments using Web-KB document collections, the proposed method outperforms conventional ones.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.27 no.1
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• pp.1-7
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• 2023

Deep web collection means entering a query in a search form and collecting response results. It is estimated that the information possessed by the deep web has about 450 to 550 times more information than the statically constructed surface web. The static method does not show the changed information until the web page is refreshed, but the dynamic web page method updates the necessary information in real time and provides real-time information without reloading the web page, but crawler has difficulty accessing the updated information. Therefore, there is a need for a way to automatically collect information on these deep webs using a crawler. Therefore, this paper proposes a method of utilizing scripts as general links, and for this purpose, an algorithm that can utilize client scripts like regular URLs is proposed and experimented. The proposed algorithm focused on collecting web information by menu navigation and script execution instead of the usual method of entering data into search forms.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2008.05a
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• pp.1003-1007
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• 2008

Even if the HF band SSB maritime data communications service company has operating a target Of the member ship, because of unprepared. the radio link protocol that has been question accordance with increase of calling redundancy at traffic overload. Although free signal has operating for traffic of the next ship, but cannot avoid the collision in mutual calling ships. In feature of HF band SSB channel that radio link must be established by automatical, stability and adaptive at over load. In this factor, this paper is studied the new radio protocol by 3 step sequency driving of free access, group free access and polling access.

• The Transactions of the Korea Information Processing Society
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• v.4 no.9
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• pp.2333-2341
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• 1997

The hyperlinks to related nodes should be changed when we insert, or modify an information in a hypertext database. We can find more informations by means of hyperlinks that are based upon hypertext indexes. Therefore, the management of the hypertext indexes is an important component for dynamic information storage. In this paper, we suggest a method to manage the hypertext indexes and to determine hyperlinks automatically by using a dynamic indexer. We also construct index, stopword, and postposition dictionaries, an inverted index file, and a thesaurus to help the dynamic indexer.

• Journal of IKEEE
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• v.15 no.2
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• pp.122-128
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• 2011

Although conventional analog linescan cameras are used widely, high-speed, high-resolution Cameralink standard will lead the area of frame grabber industry such as factory automation. In this paper, we are developing embedded frame grabber testbed without PC which will give an another solution to image processing applications. Therefore, we designed hardware schematics and programmed FPGA device with VHDL in order to interface Cameralink standard linescan CCD camera. In the future, our embedded on-chip controller could be applied to various image processing systems such as medical imaging, especially optical coherence tomography, machine vision and industrial electronics.