• Title/Summary/Keyword: 주석기반

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Design of LSTM-based Model for Extracting Relative Temporal Relations for Korean Texts (한국어 상대시간관계 추출을 위한 LSTM 기반 모델 설계)

  • Lim, Chae-Gyun;Jeong, Young-Seob;Lee, Young Jun;Oh, Kyo-Joong;Choi, Ho-Jin
    • 한국어정보학회:학술대회논문집
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    • 2017.10a
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    • pp.301-304
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    • 2017
  • 시간정보추출 연구는 자연어 문장으로부터 대화의 문맥과 상황을 파악하고 사용자의 의도에 적합한 서비스를 제공하는데 중요한 역할을 하지만, 한국어의 고유한 언어적 특성으로 인해 한국어 텍스트에서는 개체간의 시간관계를 정확하게 인식하기 어려운 경향이 있다. 특히, 시간표현이나 사건에 대한 상대적인 시간관계는 시간 문맥을 체계적으로 파악하기 위해 중요한 개념이다. 본 논문에서는 한국어 자연어 문장에서 상대적인 시간표현과 사건 간의 관계를 추출하기 위한 LSTM(long short-term memory) 기반의 상대시간관계 추출 모델을 제안한다. 시간정보추출 연구에는 TIMEX3, EVENT, TLINK 추출의 세 가지 과정이 포함되지만, 본 논문에서는 특정 문장에 대해서 이미 추출된 TIMEX3 및 EVENT 개체를 제공하고 상대시간관계 TLINK를 추출하는 것만을 목표로 한다. 또한, 사람이 직접 태깅한 한국어 시간정보 주석 말뭉치를 대상으로 LSTM 기반 제안모델들의 상대적 시간관계 추출 성능을 비교한다.

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A FFP-based Model to Estimate Software Development Cost (소프트웨어 개발비용을 추정하기 위한 FFP 기반 모델)

  • Park, Ju-Seok;Chong, Ki-Won
    • The KIPS Transactions:PartD
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    • v.10D no.7
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    • pp.1137-1144
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    • 2003
  • The existing Function Point method to estimate the software size has been utilized frequently with the management information system. Due to the expanding usage of the real-time and embedded system, the Full Function Point method is being proposed. However, despite many research is being carried out relation to the software size, the research on the model to estimate the development cost from the measured software size is inadequate. This paper analyzed the linear regression model and power regression model which estimate the development cost from the software FFP The power model is selected, which shows its estimation is most adequate.

Design and Implementation of Multimedia Retrieval a System (멀티미디어 검색 시스템의 설계 및 구현)

  • 노승민;황인준
    • Journal of KIISE:Databases
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    • v.30 no.5
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    • pp.494-506
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    • 2003
  • Recently, explosive popularity of multimedia information has triggered the need for retrieving multimedia contents efficiently from the database including audio, video and images. In this paper, we propose an XML-based retrieval scheme and a data model that complement the weak aspects of annotation and conent based retrieval methods. The Property and hierarchy structure of image and video data are represented and manipulated based on the Multimedia Description Schema (MDS) that conforms to the MPEG-7 standard. For audio contents, pitch contours extracted from their acoustic features are converted into UDR string. Especially, to improve the retrieval performance, user's access pattern and frequency are utilized in the construction of an index. We have implemented a prototype system and evaluated its performance through various experiments.

Scenario-based Business Strategy Process: focused on the Developing MVNO Market Scenarios and Strategies in Korean Mobile Service Market (시나리오 기반 전략 프로세스: 이동통신시장에서 MVNO 시장 시나리오 중심으로)

  • Ryu, Kyung-Seok;Park, Joo-Seok;Park, Jea-Hong
    • Journal of Information Technology and Architecture
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    • v.9 no.3
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    • pp.303-321
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    • 2012
  • Scenarios are an effective tool for supporting a company to be successful in its increasingly complex, changing business environment. They are especialy effective in dealing with uncertainties. This paper show how business managers or supervisors can develop scenario-based business strategies. This is explained by the case study of MVNO (Mobile Virtual Network Operator) in Korean mobile service market. In addition, we discuss on theoretical background of scenario- based management and describe the integration of scenarios into process of strategic management. This includes specific methodological approaches to identify the key factors and logics for scenario building, to develop new strategies.

Temporal Video Modeling of Cultural Video (교양비디오의 시간지원 비디오 모델링)

  • 강오형;이지현;고성현;김정은;오재철
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2004.05b
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    • pp.439-442
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    • 2004
  • Traditional database systems have been used models supported for the operations and relationships based on simple interval. video data models are required in order to provide supporting temporal paradigm, various object operations and temporal operations, efficient retrieval and browsing in video model. As video model is based on object-oriented paradigm, 1 present entire model structure for video data through the design of metadata which is used of logical schema of video, attribute and operation of object, and inheritance and annotation. by using temporal paradigm through the definition of time point and time interval in object-oriented based model, we tan use video information more efficiently by me variation.

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A Study on PKI Mechanisms with distributed CA for IEEE 802.15.3 High Rate WPAN (IEEE 802.15.3 High Rate WPAN을 위한 분산된 인종기관을 가지는 PKI 메커니즘 연구)

  • 박정우;양대헌;송주석
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.14 no.3
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    • pp.125-135
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    • 2004
  • IEEE 802.15.3 High Rate WPAN is a mechanism for wireless home network such as PDAs, digital video camcoder, etc. While symmetric keys are used for MAC layer security, the process of establishing a secure membership or a secure relationship is outside of the scope of the standard. In addition, to prepare for ubiquitous environment in the near future, it is important to study the process of establishing a secure relationship between DEVs in different dependent piconets. This paper propose a secure model and a process of establishing a secure relationship using PKI without a ousted certificate authority.

An Efficient and Reliable Authentication Protocol for Password-based Systems (패스워드 기반 시스템을 위한 효율적이고 안전한 인증 프로토콜의 설계 및 검증)

  • 권태경;강명호;송주석
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.7 no.2
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    • pp.27-42
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    • 1997
  • We propose a new authentication and key distribution protocol which is efficient and reliable for password-based systems. Various guessing attacks have been detected in applying conventional protocols to the password-based systems and additional overheads have been made in refined protocols to defeat those attacks. Using a one-time pad and a strong hash function, our proposed protocol promotes reliability and efficiency. Compared with other protocols, our protocol is secure against various protocol attacks including guessing attacks. In addition, this protocol is efficient in reducing communication and computation costs.

AI-Based Object Recognition Research for Augmented Reality Character Implementation (증강현실 캐릭터 구현을 위한 AI기반 객체인식 연구)

  • Seok-Hwan Lee;Jung-Keum Lee;Hyun Sim
    • The Journal of the Korea institute of electronic communication sciences
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    • v.18 no.6
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    • pp.1321-1330
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    • 2023
  • This study attempts to address the problem of 3D pose estimation for multiple human objects through a single image generated during the character development process that can be used in augmented reality. In the existing top-down method, all objects in the image are first detected, and then each is reconstructed independently. The problem is that inconsistent results may occur due to overlap or depth order mismatch between the reconstructed objects. The goal of this study is to solve these problems and develop a single network that provides consistent 3D reconstruction of all humans in a scene. Integrating a human body model based on the SMPL parametric system into a top-down framework became an important choice. Through this, two types of collision loss based on distance field and loss that considers depth order were introduced. The first loss prevents overlap between reconstructed people, and the second loss adjusts the depth ordering of people to render occlusion inference and annotated instance segmentation consistently. This method allows depth information to be provided to the network without explicit 3D annotation of the image. Experimental results show that this study's methodology performs better than existing methods on standard 3D pose benchmarks, and the proposed losses enable more consistent reconstruction from natural images.

GORank: Semantic Similarity Search for Gene Products using Gene Ontology (GORank: Gene Ontology를 이용한 유전자 산물의 의미적 유사성 검색)

  • Kim, Ki-Sung;Yoo, Sang-Won;Kim, Hyoung-Joo
    • Journal of KIISE:Databases
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    • v.33 no.7
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    • pp.682-692
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    • 2006
  • Searching for gene products which have similar biological functions are crucial for bioinformatics. Modern day biological databases provide the functional description of gene products using Gene Ontology(GO). In this paper, we propose a technique for semantic similarity search for gene products using the GO annotation information. For this purpose, an information-theoretic measure for semantic similarity between gene products is defined. And an algorithm for semantic similarity search using this measure is proposed. We adapt Fagin's Threshold Algorithm to process the semantic similarity query as follows. First, we redefine the threshold for our measure. This is because our similarity function is not monotonic. Then cluster-skipping and the access ordering of the inverted index lists are proposed to reduce the number of disk accesses. Experiments with real GO and annotation data show that GORank is efficient and scalable.

A management Technique for Protein Version Information based on Local Sequence Alignment and Trigger (로컬 서열 정렬과 트리거 기반의 단백질 버전 정보 관리 기법)

  • Jung Kwang-Su;Park Sung-Hee;Ryu Keun-Ho
    • The KIPS Transactions:PartD
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    • v.12D no.1 s.97
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    • pp.51-62
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    • 2005
  • After figuring out the function of an amino acid sequence, we can infer the function of the other amino acids that have similar sequence composition. Besides, it is possible that we alter protein whose function we know, into useful protein using genetic engineering method. In this process. an original protein amino sequence produces various protein sequences that have different sequence composition. Here, a systematic technique is needed to manage protein version sequences and reference data of those sequences. Thus, in this paper we proposed a technique of managing protein version sequences based on local sequence alignment and a technique of managing protein historical reference data using Trigger This method automatically determines the similarity between an original sequence and each version sequence while the protein version sequences are stored into database. When this technique is employed, the storage space that stores protein sequences is also reduced. After storing the historical information of protein and analyzing the change of protein sequence, we expect that a new useful protein and drug are able to be discovered based on analysis of version sequence.