• Journal of Digital Contents Society
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• v.9 no.2
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• pp.277-284
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• 2008

As the increasing of users' request about internet web service, the importance of ontology to construct semantic web is increasing now. Early Internet data processing was studied in the form of data integration through centralized ontology construction. However, because of distributed environment of internet, when integrating data of distributed site, it is required to integrate data of each site in terms of peer-to-peer data processing for corresponding to fast change of internet. In this paper, in distributed environment, we propose data processing method which construct ontology in each site with ontology language OWL. Furthermore, through relational representation of OWL, we propose the system containing distributed query processing for data constructed in different site with different method.

• Journal of Digital Contents Society
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• v.15 no.3
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• pp.365-371
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• 2014

In the era of big data, algorithms for the existing IT environment cannot accept on a distributed architecture such as hadoop. Thus, new distributed algorithms which apply a distributed framework such as MapReduce are needed. Lloyd's algorithm commonly used for vector quantization is developed using MapReduce recently. In this paper, we proposed a decombined distributed VQ codebook generation algorithm based on a distributed VQ codebook generation algorithm using MapReduce to get a result more fast. The result of applying the proposed algorithm to big data showed higher performance than the conventional method.

• KIPS Transactions on Computer and Communication Systems
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• v.11 no.3
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• pp.91-98
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• 2022

With the recent increase in interest in metaverse in which virtual and physical spaces are digitally fused, many activities in physical spaces are expected to take place in web-based virtual spaces. Therefore, there is a need for research on a self-sovereign identity system that can secure privacy and mutual trust in a DID(decentralized identifier)-based virtual space environment. We, in this paper, developed and validated a reliable communication method consisting of DIDComm messages, a procedure for generating distributed identifiers, asymmetric keys, and DID documents based on Hyperledger Indy and DIDComm open sources. The developed communication method can be applied to verify each other by exchanging additional information and verifiable credentials for trust among communication participants.

• Journal of KIISE:Databases
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• v.31 no.4
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• pp.362-372
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• 2004

One of the most difficult problems in building a distributed GIS lies in the heterogeneity of spatial databases. In particular, positional mismatches between spatial databases, which arise due to several reasons, may incur incorrect query results. They result in unreliable outputs of query processing. One simple solution is to correct positional data in spatial databases at each site, according to the most accurate one. This solution is however not practical in cases where the autonomy of each database should be respected. In this paper, we propose a spatial query processing method without correcting positional data in each spatial database. Instead of correcting positional data, we dynamically transform a given query region or position onto each space where spatial objects of each site are located. Our proposed method is based on an elastic transformation method by using delaunay triangulation. Accuracy of this method is proved mathematically, and is confirmed by an experiment. Moreover, we implemented using common use database system for usefulness verification of this method.

• Journal of the Korean Society for Library and Information Science
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• v.53 no.2
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• pp.179-199
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• 2019

In this paper, we propose optimal methodologies for classifying patent literature by examining various feature extraction methods, machine learning and deep learning models, and provide optimal performance through experiments. We compared the traditional BoW method and a distributed representation method (word embedding vector) as a feature extraction, and compared the morphological analysis and multi gram as the method of constructing the document collection. In addition, classification performance was verified using traditional machine learning model and deep learning model. Experimental results show that the best performance is achieved when we apply the deep learning model with distributed representation and morphological analysis based feature extraction. In Section, Class and Subclass classification experiments, We improved the performance by 5.71%, 18.84% and 21.53%, respectively, compared with traditional classification methods.

• Proceedings of the Korea Water Resources Association Conference
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• 2018.05a
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• pp.193-193
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• 2018

종합적인 물 관리의 필요성이 대두되면서 증발산량의 연구가 최근 활발히 진행되고 있다. 그 중 국제식량농업기구(FAO, Food and Agriculture Organization)는 여러 기후에서 비교적 정확하고 일정한 경향을 갖는 Penman-Monteith(FAO-PM) 공식을 제시하였다. 이 공식은 다양한 환경을 무시하고 기준작물인 알팔파를 기준으로하여 기준증발산량을 산정하는 식으로써 각 환경에 맞는 작물계수를 곱하여 실제 증발산을 산정한다. FAO-56 Irrigation and Drainage에서는 작물계수를 단일작물계수(Single crop coefficent)와 이중작물계수(Dual crop coefficent)를 제시하고 있다. 단일작물계수는 토양의 증발과 식생의 증산을 하나의 계수로 고려하여 나타냈으며, 이중작물계수는 기저토양의 습윤을 통한 증산뿐 아니라 다양한 영향들을 고려하여 작물계수를 나타냈다. 그 외에도 원격탐사를 통한 식생지수를 통한 작물계수를 통하여 계수를 산출하기도 한다. 현재 국토교통부 및 한국수자원조사기술원에서는 에디공분산(Eddy covariance) 방법을 통해 실제증발산량을 관측하고 있으며, 품질관리 과정에서 Kalman filter를 이용하고 시스템 모델로써 FAO-PM 방법 등을 이용하고 있다. 따라서 FAO-PM 방법의 정확성을 증대시키기 위해선 작물계수에 관한 정확성을 연구가 진행되어야 한다. 본 연구에서는 여러 방법을 통해 산출한 작물계수를 이용한 FAO-PM 방법을 통한 실제증발산과 에너지 보존 방정식에 근거한 에디공분산 방법 통해 관측된 실제증발산량과 비교를 하였다. 평가 결과는 보다 정확하고 물리적인 증발산량 산정하는데 활용할 수 있을 것으로 기대된다.

• 한국지구물리탐사학회:학술대회논문집
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• 2005.05a
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• pp.29-36
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• 2005

The crustal structure of Korean Peninsula is investigated by analyzing phase velocity dispersion data of Rayleigh wave. Earthquakes recorded by three component seismographs during 1999 - 2004 in South Korea are used in this study. The fundamental mode signals of Rayleigh waves are obtained from vertical components of seismograms by multiple filter technique method and phase match filter method. Velocity dispersion curves of surface waves for 14 propagation paths on the great circle are computed from the fundamental mode signals on the great circle path by two-station method. Treating the shear velocity of each layer as an independent parameter, phase velocities of Rayleigh wave are inverted. The result models are regarded as average structure for surface wave propagation paths respectively. All the results can be explained by an earth model of the Korean Peninsula comprising crust of shear-wave velocity increasing from 2.8 to 3.25 km/sec from top to 33 km depth and uppermost mantle of shear-wave velocity between 4.55 and 4.67 km/sec.

• The KIPS Transactions:PartD
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• v.15D no.1
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• pp.73-86
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• 2008

Because of its capability of automatic identification of objects, RFID(Radio Frequency Identification) technologies have extended their application areas to logistics, healthcare, and food management system. Load balancing is a basic technique for improving scalability of systems by moving loads of overloaded middlewares to under loaded ones. Adaptive load balancing has been known to be effective for distributed systems of a large load variance under unpredictable situations. There are needs for applying load balancing to RFID middlewares because they must efficiently treat vast numbers of RFID tags which are collected from multiple RFID readers. Because there can be a large amount of variance in loads of RFID middlewares which are difficult to predict, it is desirable to consider adaptive load balancing approach for RFID middlewares, which can dynamically choose a proper load balancing strategy depending on the current load. This paper proposes an adaptive load balancing approach for RFID middlewares and presents its design and implementation. First we decide a performance model by a experiment with a real RFID middleware. Then, a set of proper load balancing strategies for high/medium/low system loads is determined from a simulation of various load balancing strategies based on the performance model.

• Proceedings of the Korea Institutes of Information Security and Cryptology Conference
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• 2002.11a
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• pp.16-19
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• 2002

분산 침입 탐지시스템은 감시되는 호스트 수에 비례하여 데이터 분석이 다수의 위치에서 수행되는 시스템이다. 따라서, 침입 탐지를 위하여 구성된 컴포넌트 사이의 효율적인 정보 분배가 중요한 문제이며, 통신 메커니즘은 신뢰성, 효율성, 안전성 그리고 확장성이 요구된다. 분산 침입 탐지 시스템의 통신 형태를 나타내는 통신모델 중에서, 높은 확장성 때문에 고려되고 있는 모델로 피어 대 피어 통신 모델이 있다. 이 모델은 특정한 형태의 관심전파와 데이터 전달 방법에 따라 다시 계층적 구조와 직접 연결로 분류할 수 있다. 본 논문에서는, 분산 침입탐지에서 침입 탐지정보를 전달하는 두 가지 방법에 대하여 분석하고, 통신 메커니즘의 성능을 향상시키는 방안을 제시하고자 한다.

• Proceedings of the Materials Research Society of Korea Conference
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• 2003.03a
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• pp.226-226
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• 2003

일반적으로, 고분자 매트릭스에 층상 점토광물이 분산되어 얻어지는 복합재료는 세가지 형태를 이룬다. 첫째 통상의 복합재료는 고분자 매트릭스 내에 점토입자가 고루게 분산된 상태를 말하며, 둘째 점토 층 사이에 고분자 모노머나 올리고머가 일부분 삽입된 삽입형 복합재료(intercalated composite)이며, 셋째 점토 층 사이에 삽입된 모노머나 올리고머의 경화 또는 중합반응을 통해 점토내의 한층 한층 균일하게 매트릭스 내에 분산된 박리형 나노복합소재(exfoliated nanocomposite) 이다. 이들 복합재료들 중 박리형 나노복합소재는 적은 양의 점토가 단위 층으로 고분자 매트릭스에 완전히 분산되어 다양한 물성의 향상이 기대되는 재료이다. 따라서 최근 고분자의 기계적 강도, 팽윤 저항성 그리고 차폐특성 둥 전반적인 물성을 향상시키는 방법으로 층상 점토광물의 층 사이에 다양한 유기물을 삽입하여 층간거리를 확장시킨 유기 점토광물을 제조하고 이를 고분자 소재에 첨가하여 박리형 나노복합소재를 제조하는 방법이 많은 연구가 수행되고 있다.