• Proceedings of the Korea Information Processing Society Conference
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• 2018.05a
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• pp.300-303
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• 2018

최근, 불균일 기억 장치 접근 (NUMA) 구조가 부각됨에 따라 NUMA 구조 기반의 관계 연산 기법들이 제안되고 있다. 본 논문에서는 NUMA 구조 기반의 효율적인 해시 조인 기법을 제안한다. NUMA 구조에서 조인 속성 값의 분포가 편중된 릴레이션들 간의 조인은 NUMA 노드들 간의 부하 불균형과 과도한 원격 메모리 접근을 발생시킬 수 있다. 제안 기법에서는 근사 히스토그램을 이용하여 조인 속성 값의 분포를 파악하고, 이를 기반으로 원격 메모리 접근을 줄이는 전달 방안을 제안한다. 실험에서는 입력 릴레이션들에 대해 조인 속성 값의 분포를 변화시키면서 제안 기법에 대한 성능을 평가한다.

• Journal of the Korea Convergence Society
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• v.9 no.12
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• pp.345-354
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• 2018

The purpose of this study was to investigate the structural relationship between advertising attributes, advertising attitude, brand image, and purchase intention of sports brand on SNS. For this purpose, 250 valid samples from the convenience sampling method were used as the final analysis data. Entertainment, information, and credibility among ad attributes had a positive effect on SNS users' advertisement attitude toward sport brands, and irritation has a negative effect on ad attitude. The ad attitude formed by the advertising attributes positively affected the image of the sports brand and the purchase intention. Brand image had a positive effect on purchase intention. The results of this study may be helpful to maximize SNS advertising effect of sports brands and to identify some important factors that can affect direct purchasing behavior of sports majors, one of the target groups of companies promoting sports brands using SNS.

• Proceedings of the Korean Statistical Society Conference
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• 2000.11a
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• pp.201-205
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• 2000

사회적 연결망 분석은 사회학에서 양적 분석방법과 질적 분석방법이 함께 안고 있는 문제, 즉 사회적 실체를 관계에 우선하여 측정하고 분석함으로써, 사회적 관계가 부차적이고 파생적으로 인식되는 문제를 해결하는 방안으로 제안되었다. 연결망 분석은 개인 혹은 집단과 조직간의 관계에 대한 형식적 접근을 통해 그 전반적 혹은 부분적 특성을 분석하는 방법으로, 사회적 구조의 발현적 속성에 초점을 맞춘다. 조직간의 연결망에 대한 분석을 통해 조직의 성과가 조직 자체의 속성 뿐 아니라 조직간의 관계의 속성에 의존함이 밝혀졌다.

• The Journal of the Korea Contents Association
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• v.9 no.5
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• pp.230-240
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• 2009

This study proposes a theory of consumer experiences based on a cognitive science framework that serves as an alternative to the mainstream marketing paradigm of information processing and choice. The theory consists of three key theoretical constructs: experiential modules, primary vs. secondary experiences, and the hierarchy of experiential modules. Based on this theory, this study investigates the effect of experiential attributes and functional attributes on consumer's product evaluations, and the moderating role of consumer's knowledge. The main research findings are (1) the subjects react faster to sensory and affective stimuli(ex: experiential attributes) than they do to intellectual stimuli (ex: functional attributes), (2) the interaction modularity of attributes(functional vs. experiential) $\times$ tempo(normal vs. fast) $\times$ product knowledge(novice vs. expert) appear significantly with product evaluation as the dependent measure.

• Korean Journal of Cognitive Science
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• v.17 no.1
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• pp.53-74
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• 2006

Similarity has been considered as one of basic concepts of cognitive psychology which is useful for explaining cognitive structure and process. MDS models(Shepard, 1964; Nosofsky, 1991) and Contrast model(Tversky, 1977) were proposed as early models of similarity comparison process. But, there have been a lot of theoretical doubts about the conceptual validity of similarity as a result of empirical findings which could not be explained by early models. Goldstone(1994) assumed that similarity could be defined by alignment processes, and suggested structural alignment as a prospective alternative for solving conceptual controversies so far. In this study, basic assumption and algorithms of MDS models(Shepard, 1944; Nosofsky, 1991) and Contrast model(Tversky, 1977) were described shortly and some theoretical limitations such as arbitrariness of selective attention and correlated structures were discussed as well. The conceptual characteristics and algorithms of SIAM(Goldstone, 1994) were described and how it has been applied to cognitive psychology areas such as categorization, conceptual combination, and analogical reasoning were reviewed. Finally, some theoretical limitations related with data-driven processing and alternative processing and possible directions for structural alignment were discussed.

• Proceedings of the Korean Society for Information Management Conference
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• 2015.08a
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• pp.83-86
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• 2015

이 연구는 정보관리학회지에 실린 국문과 영문 초록을 중심으로 초록의 구조와 그 속성을 파악하고자 한다. 이를 위해 학회지의 저자초록을 중심으로 편집규정, 초록의 종류, 구조, 문장분석, 내용분석, 문체분석을 하였다. 대상초록은 1997년과 2014년에 간행된 학회지 논문이다. 그 결과 1997년까지는 지시적 초록이었으며 이후 대부분 정보적 초록으로 나타났다. 초록의 내용은 1997년에는 수록 논문의 68%가 목적 범위와 연구방법으로, 2014년에는 84%가 목적 범위/연구방법/결과 결론으로 나타났다.

• Proceedings of the Korean Information Science Society Conference
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• 1999.10a
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• pp.210-212
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• 1999

공간 데이터베이스 시스템에 관한 연구는 다양한 분야에서 진행되고 있으며 특히 공간 데이터베이스 시스템의 가장 중요한 응용인 지리정보시스템에 대한 연구가 중점적으로 이루어지고 있다. 지리정보시스템에서 이용되는 공간 객체는 Point, Lie, Region 등으로 분류되며 불규칙한 n차원의 가변 길이 속성을 가진다. 이는 또한 공간 객체간의 위상 관계와 위치 정보를 포함하여야 한다. 본 논문에서는 기존의 저장구조를 용이하게 확장 가능할 수 있도록 하는 관계표현을 이용한 공간 객체 데이터 구조를 제안한다. 제안된 구조는 공간 데이터와 속성 데이터를 효율적으로 연결시키며 공간 위상 관계를 유지하고 관리한다. 이는 도한 레이어 구조에서 관리되는 데이터에 의하여 공간 객체 간의 일관성을 유지시킨다.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.29 no.2C
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• pp.342-347
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• 2004

An ID certificate is digitally signed by a certificate authority for authentication and an attribute certificate is digitally signed by an attribute certificate authority for authorization. In many applications in web, there should be a mechanism to bind attributes to proper identities. The dependencies between them should be maintained. So we analyzed some known binding methods, selective revocation methods and cryptographic binding methods. And we proposed a binding mechanism using one-time attribute certificates in order to solve their problems.

• Economic and Environmental Geology
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• v.57 no.1
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• pp.51-71
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• 2024

Seismic exploration is one of the widely used geophysical exploration methods with various applications such as resource development, geotechnical investigation, and subsurface monitoring. It is essential for interpreting the geological characteristics of subsurface by providing accurate images of stratum structures. Typically, geological features are interpreted by visually analyzing seismic sections. However, recently, quantitative analysis of seismic data has been extensively researched to accurately extract and interpret target geological features. Seismic attribute analysis can provide quantitative information for geological interpretation based on seismic data. Therefore, it is widely used in various fields, including the analysis of oil and gas reservoirs, investigation of fault and fracture, and assessment of shallow gas distributions. However, seismic attribute analysis is sensitive to noise within the seismic data, thus additional noise attenuation is required to enhance the accuracy of the seismic attribute analysis. In this study, four kinds of seismic noise attenuation methods are applied and compared to mitigate random noise of poststack seismic data and enhance the attribute analysis results. FX deconvolution, DSMF, Noise2Noise, and DnCNN are applied to the Youngil Bay high-resolution seismic data to remove seismic random noise. Energy, sweetness, and similarity attributes are calculated from noise-removed seismic data. Subsequently, the characteristics of each noise attenuation method, noise removal results, and seismic attribute analysis results are qualitatively and quantitatively analyzed. Based on the advantages and disadvantages of each noise attenuation method and the characteristics of each seismic attribute analysis, we propose a suitable noise attenuation method to improve the result of seismic attribute analysis.

• Journal of the Korea Society of Computer and Information
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• v.12 no.4
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• pp.95-102
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• 2007

Recently, a lot of researchers focus on the sensor middleware that hide the complexity of application developments and provide the abstraction of functions to upper application layer. Although there we several factors to design sensor middleware, the attribute-based naming is considered to be an essential factor among them. However, most existing researches were not designed to reflect the characteristics of sensor networks and have the limitation of attribute-based query extension. This study adopts the concept of Virtual Counterpart to suggest the structure there attribute-based naming is supported by virtual sensor nodes of the middleware on the sink node. Unlike traditional data-centric middleware in which individual sensor nodes process attribute-based query, virtual sensor nodes mapped to physical sensor nodes are running on the middleware of the sink node and process attribute-based query as a proxy of the physical sensor. This approach enables attribute-based naming independent of physical infrastructure and easy extensibility.