• Proceedings of the Korean Society for Language and Information Conference
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• 2007.11a
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• pp.508-514
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• 2007

In order to extract some important information of a person from text, an extracting model was proposed. The person's name is recognized based on the maximal entropy statistic model and the training corpus. The sentences surrounding the person's name are analyzed according to the conceptual knowledge base. The three main elements of events, domain, situation and background, are also extracted from the sentences to construct the structure of events about the person.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2002.11a
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• pp.335-340
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• 2002

인터넷을 이용한 여러 응용 서비스들 중에서 저렴한 비용으로 음성을 전송할 수 있는 VoIP서비스의 발전으로 사용자의 급격한 증가가 예상된다. VoIP에 mobility, universal number, multiparty conference, voice mail, automatic call distribution과 같은 고품질의 서비스를 제공하기 위해서는 시그널링이 가능한 표준화된 프로토콜이 필요하다. 현재 IETF의 SW(Session Initiation Protocol)가 빠른 호 설정과 parsing 및 compile이 쉬운 장점으로 인해 SIP를 기반으로 한 VoIP 서비스를 제공하기 위해 국내외적으로 SIP 기반 구성요소에 대한 개발이 진행 중이다. 본 논문에서는 사용자가 보내는 request(INVITE) 메소드(method)를 처리해주는 SIP 서버의 부하 경감, 망 운용의 효율성, 많은 사용자에 대한 서비스를 제공하기 위해 새로운 서버 유형인 Hybrid형 SIP 서버를 제안하고, 이를 이용하여 새로운 타입의 인터넷폰을 설계하였다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2002.05a
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• pp.108-112
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• 2002

인터넷을 이용한 여러 응용 서비스들 중에서 저렴한 비용으로 음성을 전송할 수 있는 VoIP 서비스의 발전으로 사용자의 급격한 증가가 예상된다. VoIP에 mobility, universal number, multiparty conference, voice mail, automatic call distribution과 같은 고품질의 서비스를 제공하기 위해서는 시그널링이 가능한 표준화된 프로토콜이 필요하다. 현재 IETF의 SIP(Session Initiation Protocol)가 빠른 호 설정과 parsing 및 compile이 쉬운 장점으로 인해 SIP를 기반으로 한 VoIP 서비스를 제공하기 위해 국내외적으로 SIP 기반 구성요소에 대한 개발에 박차를 가하고 있다. 본 논문에서는 사용자가 보내는 request(INVITE) method를 처리해주는 SIP 서버의 부하 경감, 망 운용의 효율성, 많은 사용자에 대한 서비스를 제공하기 위해 새로운 서버 유형인 Hybrid형 SIP 서버를 제시하고자 한다.

• IEIE Transactions on Smart Processing and Computing
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• v.2 no.3
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• pp.103-116
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• 2013

This paper reviews various bitstream syntax and parser description (BSPD) languages used in MPEG multimedia standards. Traditionally, the bitstream syntax and semantics have been described in human-readable form. Several languages have been developed to describe the bitstream syntax using a computer-readable language and allow the automatic generation of bitstream parsing function from the description. The languages were designed for different objectives and applications but have a range of commonalities in functionality. The aim of this paper is to provide a historical overview of BSPD languages. The background and target application of the BSPD languages are reviewed. In addition, the technical features of each languages, including the linguistic basis (e.g., XML-based) and parser generation method, are discussed and evaluated. In addition, previous studies based on each language are introduced and categorized according to their objectives. Finally, the relevant technical issues that suggest the direction of the future researches are reported.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.11 no.1
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• pp.177-183
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• 2011

One of the methodologies for the type-checking of an expression is the attribute grammar. But this attribute grammar is difficult to write because two attributes should be used with the full understanding of parsing steps. So this paper proposes a methodology to construct an expression attribute grammar easily. It shows the possibility to check the type of an expression with only one attribute through a grammar construction method.

• Annual Conference on Human and Language Technology
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• 2021.10a
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• pp.427-432
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• 2021

현재 한국어 의존 구문 분석의 표준은 어절 단위로 구문 분석을 수행하는 것이다. 그러나 의존 구문 분석의 분석 단위(어절, 형태소)에 대해서는 현재까지 심도 있는 비교 연구가 진행된 바 없다. 본 연구에서는 의존 구문 분석의 분석 단위가 자연어 처리 분야의 성능에 유의미한 영향을 끼침을 실험적으로 규명한다. STEP 2000과 모두의 말뭉치를 기반으로 구축한 형태소 단위 의존 구문 분석 말뭉치를 사용하여, 의존 구문 분석기 모델 및 의존 트리를 입력으로 활용하는 문장 의미 유사도 분석(STS) 및 관계 추출(RE) 모델을 학습하였다. 그 결과, KMDP가 기존 어절 단위 구문 분석과 비교하여 의존 구문 분석기의 성능과 응용 분야(STS, RE)의 성능이 모두 유의미하게 향상됨을 확인하였다. 이로써 형태소 단위 의존 구문 분석이 한국어 문법을 표현하는 능력이 우수하며, 문법과 의미를 연결하는 인터페이스로써 높은 활용 가치가 있음을 입증한다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.10a
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• pp.422-424
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• 2021

In this paper, it leads the approach of fusing multiple RGB cameras for visual objects recognition based on deep learning with convolution neural network and 3D Light Detection and Ranging (LiDAR) to observe the environment and match into a 3D world in estimating the distance and position in a form of point cloud map. The goal of perception in multiple cameras are to extract the crucial static and dynamic objects around the autonomous vehicle, especially the blind spot which assists the AV to navigate according to the goal. Numerous cameras with object detection might tend slow-going the computer process in real-time. The computer vision convolution neural network algorithm to use for eradicating this problem use must suitable also to the capacity of the hardware. The localization of classified detected objects comes from the bases of a 3D point cloud environment. But first, the LiDAR point cloud data undergo parsing, and the used algorithm is based on the 3D Euclidean clustering method which gives an accurate on localizing the objects. We evaluated the method using our dataset that comes from VLP-16 and multiple cameras and the results show the completion of the method and multi-sensor fusion strategy.

• Journal of Korea Multimedia Society
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• v.19 no.1
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• pp.86-95
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• 2016

The main objective of HACCP(Hazard analysis and critical control points) system is to provide a systematic preventive approach how to control the risks in food production process. Practically, the diet classification process performed at the one of the beginning steps of the HACCP system, makes an important role of determining food safety risks and how to control them in every control point according to the different risk level of the diet. In this paper, we propose an automatic diet classification method for HACCP system using XML(eXtensible Markup Language). In order to guarantee the diet classification accuracy, we design the XML schema and attributes represents the relationship of every diet and ingredients analysing the HACCP diet classification rules. Based on the XML schema and document generation method, we develope the proposed system as client and server model that implemented XML based HACCP diet information generation module and integrated HACCP information management modules, respectively. Moreover, we show the efficiency of the proposed system with experiment results describing the school food diet information as XML documents and parsing the diet information.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.6 no.1
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• pp.1-11
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• 2005

The paper proposes a preprocessing method for efficient processing of XML queries in information retrieval with a large amount of XML documents. The conventional preprocessing methods filter out XML documents by parsing XML document for keyword of query or by comparing query signatures with signatures of XML document to be generated. But these methods are dependent on a query and are very in efficient for a large amount of XML documents. For this, we generate a universal DTD based on ontology of a domain. The universal DTD is applicable to the XML documents when they contain information of a same domain even when they have different structures and attributes. Then, using the universal DTD, we filter out the XML documents that are not bounded in the domain. We evaluate the performance of this method through experiments.

• The KIPS Transactions:PartB
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• v.14B no.2
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• pp.141-144
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• 2007

The longer the input sentences, the worse the syntactic parsing results, Therefore, a long sentence is first divided into several clauses and syntactic analysis for each clause is performed. Finally, all the analysis results art merged into one, In the merging process, it is difficult to determine the dependency among clauses, To handle such syntactic ambiguity among clauses, this paper proposes an SVM-based clause-dependency determination method. We extract various features from clauses, and analyze the effect of each feature on the performance. We also compare the performance of our proposed method with those of previous methods.