• 한국전자거래학회지
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• 제11권3호
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• pp.53-71
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• 2006

오늘날의 제품개발환경은 다양한 역량을 가진 참여자들의 가상조직 구성을 통한 협업을 요구하고 있으며, 참여자들 사이의 협업은 제품 개발 관련 정보들의 교환을 바탕으로 이루어진다. 제품정보의 효율적인 교환을 지원하기 위하여 본 논문에서는 제품정보에 대한 시맨틱스를 기반으로 가상조직 내 모든 애플리케이션 도메인들이 서로의 제품정보모델을 이해하고 이를 바탕으로 제품정보모델 사이의 상호운용성을 확보할 수 있도록 참조 온톨로지인 Reference Domain Ontology(RDO)를 제안하고 이를 이용한 방법론을 제시한다. RDO는 가상조직에 참여하는 모든 애플리케이션 도메인의 제품정보모델과 메타모델에 대한 시맨틱스를 포함함으로써 협업에서 발생 가능한 제품정보모델 교환의 지연요소를 제거한다. RDO는 가상조직이 형성될 때 생성되며 가상조직의 변화에 능동적으로 대응하고 가상조직이 소멸되면 함께 사라지는 등 민첩하고 일시적인 특성을 지닌다. 이를 위하여 RDO는 상위 온톨로지를 이용한 top-down과 가상 조직 내 애플리케이션 도메인 온톨로지의 병합을 기반으로 하는 bottom-up의 복합적 접근법으로 구축된다.

• Genomics & Informatics
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• 제13권1호
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• pp.7-14
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• 2015

During recent years, there has been exponential growth in biological information. With the emergence of large datasets in biology, life scientists are encountering bottlenecks in handling the biological data. This study presents an integrated geographic information system (GIS)-ontology application for handling microbial genome data. The application uses a linear referencing technique as one of the GIS functionalities to represent genes as linear events on the genome layer, where users can define/change the attributes of genes in an event table and interactively see the gene events on a genome layer. Our application adopted ontology to portray and store genomic data in a semantic framework, which facilitates data-sharing among biology domains, applications, and experts. The application was developed in two steps. In the first step, the genome annotated data were prepared and stored in a MySQL database. The second step involved the connection of the database to both ArcGIS and $Prot{\acute{e}}g{\acute{e}}$ as the GIS engine and ontology platform, respectively. We have designed this application specifically to manage the genome-annotated data of rumen microbial populations. Such a GIS-ontology application offers powerful capabilities for visualizing, managing, reusing, sharing, and querying genome-related data.

• 경영정보학연구
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• 제21권2호
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• pp.117-137
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• 2019

빅데이터 시대를 맞아 다양한 도메인에서 수없이 많은 데이터들이 생산되면서 데이터 사이언스가 대중화 되었고, 데이터의 힘이 곧 경쟁력인 시대가 되었다. 특히 전 세계 데이터의 80% 이상을 차지하는 비정형 데이터에 대한 관심이 부각되고 있다. 소셜 미디어의 발전과 더불어 비정형 데이터의 대부분은 텍스트 데이터의 형태로 발생하고 있으며, 마케팅, 금융, 유통 등 다양한 분야에서 중요한 역할을 하고 있다. 하지만 이러한 소셜 미디어를 활용한 텍스트 마이닝은 수치형 데이터를 활용한 데이터 마이닝 분야에 비해 접근이 어렵고 복잡해 기대에 비해 그 활용도가 높지 못한 실정이다. 이에 본 연구는 프로그래밍 언어나 고사양 하드웨어나 솔루션에 의존하지 않고, 쉽고 간편한 소셜 미디어 텍스트 마이닝을 위한 통합 애플리케이션으로 Korean Natural Language Application(KoALA)을 개발하고자 한다. KoALA는 소셜 미디어 텍스트 마이닝에 특화된 애플리케이션으로, 한글, 영문을 가리지 않고 분석 가능한 통합 애플리케이션이다. 데이터 수집에서 전처리, 분석, 그리고 시각화에 이르는 전 과정을 처리해준다. 본 논문에서는 디자인 사이언스(design science) 방법론을 활용해 KoALA 애플리케이션을 디자인, 구현, 적용하는 과정에 대해서 다룬다. 마지막으로 블록체인 비즈니스 관련 사례를 들어 KoALA의 실제 활용방안에 대해서 다룬다. 본 논문을 통해 소셜 미디어 텍스트 마이닝의 대중화와 다양한 도메인에서 텍스트 마이닝의 실무적, 학술적 활용을 기대해 본다.

• East Asian mathematical journal
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• 제27권4호
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• pp.471-483
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• 2011

The purpose of this study is to introduce the Common Core State Standards (CCSS) for mathematics which is released on June 2, 2010 in the U.S.A. The common core state standards are aligned with college and work expectations, and include rigorous content and application of knowledge through high-order skills. The most distinguishable differences between the CCSS standards and the NCTM standards are that the CCSS standards considers the mathematical modeling as one of the mathematical content domains such as algebra, geometry, ets, and the standards are designed by working together with school leaders of all states.

• 대한수학회보
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• 제55권2호
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• pp.649-657
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• 2018

Let R be a commutative ring. In this paper, the w-projective Basis Lemma for w-projective modules is given. Then it is shown that for a domain, nonzero w-projective ideals and nonzero w-invertible ideals coincide. As an application, it is proved that R is a Krull domain if and only if every submodule of finitely generated projective modules is w-projective.

• 한국시뮬레이션학회논문지
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• 제8권1호
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• pp.35-49
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• 1999

The CC-NUMA based, distributed shared memory is an emerging architecture for multiprocessor computer systems because of its scalability and easy of programming. In this paper, we analyzed performance of a ring-based, CC-NUMA multiprocessor computer system using a commercial workload targeted for popular OLTP applications. Based on the traces collected from real machines, the characteristics of the commercial workload could be obtained. The simulation results showed that the bottleneck on the ring could be effectively removed by using a dual ring structure. We believe our simulation methodology and results will help us to design better multiprocessor computer systems for commercial application domains.

• 산업경영시스템학회지
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• 제17권30호
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• pp.161-165
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• 1994

The shipbuilding industry is one of the domains which need an effective computer application. Particularly the productivity of process planning of a shipbuilding for crude -oil tanker can be greatly enhanced by introducing CAPP(Computer Aied Process Planning). In this paper we describe a prototype expert system which enables block division process planning in shipbuilding. The system determines block division lines of the midship sections of oiltanker. Case-based reasoning(CBR) approach is applied for this purpose instead of rule-based one.

• Smart Structures and Systems
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• 제9권6호
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• pp.473-487
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• 2012

GPS has become an established technique in structural health monitoring. This paper presents the application of an on-line GPS RTK system on the Zhujiang Huangpu Bridge (China) for monitoring bridge deck and towers movements. In this study, both the form and functions of movements of the deck and towers of the bridge under affecting loads were monitored in lateral, longitudinal and vertical directions. Such movements were described in time and frequency domains by determining the trend, torsion, periodical of the series using probability density function (PDF). The results of the time series GPS data are practical and useful to bridge health monitoring.

• 대한원격탐사학회지
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• 제24권5호
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• pp.389-396
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• 2008

In these days, various kinds of web applications based on web 2.0 paradigm have been developed. In web 2.0 paradigm pursuing participation, sharing, and openness on the web-as-platform, web mapping or web GIS application are regarded as top most applications, so that web applications, handling geo-spatial contents, with user-interaction interface and search engine of high performance have been provided for both public users and expert users in the special domains. Public and industrial needs for web mapping mashup application by open API, linked with the practical web computing technologies, are gradually increasing. In this study, a user interface in mashup for geo-spatial feature generation was implemented by using mainly Google maps API. Spatial database resources in this implementation are those of Google mapping server. As the results, public users on web client can create their own geo-spatial data sets in web vector formats, without the help of any GIS tools or access to proprietary databases. It is concluded that web-based mashup application in client-side using open API can be used as an alternative for geo-browsing system or portable feature generation system.

• 대한의용생체공학회:의공학회지
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• 제30권5호
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• pp.373-380
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• 2009

In general, Independent component analysis (ICA) is a statistical blind source separation technique, used either in spatial or temporal domain. The spatial or temporal ICAs are designed to extract maximally independent sources in respective domains. The underlying sources for spatiotemporal data (sequence of images) can not always be guaranteed to be independent, therefore spatial ICA extracts the maximally independent spatial sources, deteriorating the temporal sources and vice versa. For such data types, spatiotemporal ICA tries to create a balance by simultaneous optimization in both the domains. However, the spatiotemporal ICA suffers the problem of source ambiguity. Recently, constrained ICA (c-ICA) has been proposed which incorporates a priori information to extract the desired source. In this study, we have extended the c-ICA for better analysis of spatiotemporal data. The proposed algorithm, i.e., constrained spatiotemporal ICA (constrained st-ICA), tries to find the desired independent sources in spatial and temporal domains with no source ambiguity. The performance of the proposed algorithm is tested against the conventional spatial and temporal ICAs using simulated data. Furthermore, its performance for the real spatiotemporal data, functional magnetic resonance images (fMRI), is compared with the SPM (conventional fMRI data analysis tool). The functional maps obtained with the proposed algorithm reveal more activity as compared to SPM.