• 한국IT서비스학회:학술대회논문집
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• 2007.11a
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• pp.88-94
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• 2007

오늘날 우리사회에서는 유비쿼터스를 비롯한 정보기술의 급격한 발전에 따라 GIS를 통하여 누구나 일장 속에서 직접 지리정보를 활용할 수 있게 되면서 양질의 지리정보에 대하여 관심을 보이는 편이다. 본 연구에서 다루고자하는 지리정보는 일반시민의 생활과 가장 밀접하고 친숙한 형태의 정보 중 하나이며, 정보로서의 활용도가 매우 높다. 하지만 아직까지 지리정보 데이터베이스 서비스 품질 평가에 주안점을 둔 평가모델이나 평가차원을 도출해보려는 시도에 대한 선행연구가제대로 된 적이 없다. 이에 본 연구에서는 지리정보 데이터베이스 서비스 경우에 서비스품질에 핵심적인 속성들이 무엇인지, 고객만족에 영향을 미치는 가장 중요한 데이터베이스 서비스 품질속성은 무엇인지 알아보고자 한다. 또한 고객의 만족을 실현할 수 있기 위해서는 데이터베이스 서비스 품질속성들이 각각 어떤 수준으로 제공되어야 할 것인가 라는 문제를 컨조인트 분석을 통해 해결해 보고자 한다.

• Education of Primary School Mathematics
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• v.22 no.1
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• pp.1-12
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• 2019

This study examined the attention and attention shift of general students and mathematically gifted students about pattern by the types of mathematical patterns. For this purpose, we analyzed eye movements during the problem solving process of 5th general and mathematically gifted students using eye tracker. The results were as follows: first, there was no significant difference in attentional style between the two groups. Second, there was no significant difference in attention according to the generation method between the two groups. The diversion was more frequent in the incremental strain generation method in both groups. Third, general students focused more on the comparison between non-contiguous terms in both attributes. Unlike general students, mathematically gifted students showed more diversion from geometric attributes. In order to effectively guide the various types of mathematical patterns, we must consider the distinction between attention and attention shift between the two groups.

• Information Systems Review
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• v.25 no.1
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• pp.47-73
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• 2023

Management decision-making based on artificial intelligence(AI) plays an important role in helping decision-makers. Business decision-making centered on AI is evaluated as a driving force for corporate growth. AI-based on accurate analysis techniques could support decision-makers in making high-quality decisions. This study proposes an effective decision-making method with the application of multi-label feature selection. In this regard, We present a CFS-BR (Correlation-based Feature Selection based on Binary Relevance approach) that reduces data sets in high-dimensional space. As a result of analyzing sample data and empirical data, CFS-BR can support efficient decision-making by selecting the best combination of meaningful attributes based on the Best-First algorithm. In addition, compared to the previous multi-label feature selection method, CFS-BR is useful for increasing the effectiveness of decision-making, as its accuracy is higher.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2021.06a
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• pp.109-111
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• 2021

360 도 영상은 기존 미디어와 다른 몰입감을 제공하지만 HMD 기반 시청은 멀미, 신체적 불편함 등을 유발할 수 있다. 또한, 시청 디바이스 보급 문제, 네트워크 대역의 문제, 단일 소스 다중 이용의 수요 등으로 일반 디스플레이 기반 서비스 수요도 존재한다. 본 논문에서는 360 도 영상의 일반 디스플레이 서비스를 위한 뷰포트 추출에 필요한 영상 내 객체의 동적 속성을 활용한 시각적 관심 지도 증강 기법과 이를 이용한 서비스 구조를 제시한다.

• Information Systems Review
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• v.25 no.4
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• pp.89-112
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• 2023

In March 2020, as it was declared a COVID-19 pandemic, various quarantine measures were taken. Accordingly, many changes have occurred in the tourism and hospitality industries. In particular, quarantine guidelines, such as the introduction of non-face-to-face services and social distancing, were implemented in the restaurant industry. For decades, research on restaurant attributes has emphasized the importance of three attributes: atmosphere, service quality, and food quality. Nevertheless, to the best of our knowledge, research on restaurant attributes considering the COVID-19 situation is insufficient. To respond to this call, this study attempted an exploratory approach to classify new restaurant attributes based on understanding environmental changes. This study considered 31,115 online reviews registered in Naverplace as an analysis unit, with 475 general restaurants located in Euljiro, Seoul. Further, we attempted to classify restaurant attributes by clustering words within online reviews through TF-IDF and LDA topic modeling techniques. As a result of the analysis, the factors of "prevention of infectious diseases" were derived as new attributes of restaurants in the context of COVID-19 situations, along with the atmosphere, service quality, and food quality. This study is of academic significance by expanding the literature of existing restaurant attributes in that it categorized the three attributes presented by existing restaurant attributes and further presented new attributes. Moreover, the analysis results have led to the formulation of practical recommendations, considering both the operational aspects of restaurants and policy implications.

• The Korean Journal of Financial Management
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• v.24 no.3
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• pp.63-89
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• 2007

This study aims at empirically verifying whether long memory properties exist in returns and volatility of the financial time series and then, empirically observing influential factors of long-memory properties. The presence of long memory properties in the financial time series is examined with the Hurst exponent. The Hurst exponent is measured by DFA(detrended fluctuation analysis). The empirical results are summarized as follows. First, the presence of significant long memory properties is not identified in return time series. But, in volatility time series, as the Hurst exponent has the high value on average, a strong presence of long memory properties is observed. Then, according to the results empirically confirming influential factors of long memory properties, as the Hurst exponent measured with volatility of residual returns filtered by GARCH(1, 1) model reflecting properties of volatility clustering has the level of $H{\approx}0.5$ on average, long memory properties presented in the data before filtering are no longer observed. That is, we positively find out that the observed long memory properties are considerably due to volatility clustering effect.

• Proceedings of the Korea Information Processing Society Conference
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• 2000.04a
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• pp.1021-1026
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• 2000

소프트웨어를 개발하는데 미리 구현된 블록을 사용하여 소프트웨어 개발 비용과 시간을 단축할 수 있다. 이와 같이 미리 구현된 블록을 컴포넌트(Component)라고 하며 컴포넌트는 실행 단위로 개발자에게 인터페이스만을 제공하여 내부 상세한 부분을 숨기므로 쉽고 빠르게 어플리케이션을 개발할 수 있다. 그러나 인터페이스 만을 이용하여 시스템을 개발하는 컴포넌트는 범용적으로 많은 도메인에 사용될 수 있도록 컴포넌트를 개발해야 한다. 어플리케이션 개발자는 완전히 내부를 볼 수 없는 블랙 박스(Black Box) 형태의 컴포넌트를 원하며 개발 도메인의 특성에 맞게 속성 및 워크플로우(Workflow)의 변경을 원하기 때문에 워크플로우를 커스터마이즈(Customize)할 수 있는 기법이 제공되어야 한다. 이러한 커스터마이즈 기법에 따라 컴포넌트의 일반성이 좌우될 수 있다. 본 논문에서는 컴포넌트의 일반성을 향상시킬 수 있는 워크플로우 커스터마이즈 기법을 제시한다. 기존에 워크플로우를 변경한다는 것은 컴포넌트 내부를 개발자가 이해하고 코드 수준에서 수정해야 하는 화이트 박스(White Box)이지만, 본 논문에서는 워크플로우의 변경을 화이트 박스가 아니라 블랙 박스 형태로 컴포넌트 인터페이스 만을 이용해 커스터마이즈 할 수 있는 기법을 제시하며 이러한 기법을 통해 일반성을 향상 시킬 수 있도록 한다.

• Journal of the Korean Society of Marine Environment & Safety
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• v.26 no.7
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• pp.798-809
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• 2020

Evidence-based policymaking and assessments for scientific administration have increased the importance of statistics (data) utilization. Statistics can explain specific phenomena by providing numerical values and are a public resource for national decision making. Due to these inherent attributes, statistics are utilized as baseline and base data for government policy determinations and the analysis of various phenomena. However, compared to the importance, the role of statistics is limited, and statistics are often used as simple abstracts, produced mainly for suppliers, not for consumers' perspectives to create value. This study explores the statistical data and other attributes that can be utilized for policies or research to address the problems mentioned above. The baseline statistical data used in this study is from the Maritime Distress Accident Statistical Yearbook published by the South Korean Coast Guard, and other additional attributes are from text analyses of vessel casualty situation reports from the South Korean Maritime Police. Collecting 56 attributes drawn from the text analysis and executing an EDA resulted in 88 attribute unions: 18 attribute unions had a satisfactory significance probability (p-value < .05) and a strong correlation coefficient above 0.7, and 70 attribute unions had a middle correlation. (over 0.4 and under 0.7). Additionally, to utilize the extra attributes discovered from the EDA politically, a keyword analysis for each detailed strategy of the disaster Preparation basic plan was executed, the utilization availability of the attributes was obtained using a matching process of keywords, and the EDA deducted attributes were examined.

• 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 Korean Society of Food Science and Nutrition
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• v.35 no.4
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• pp.456-463
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• 2006

The purposes of this study were to extract choice attributes of bakery cafe customers and to conduct important- performance analysis (IPA) of choice attributes perceived by bakery cafe customers. The questionnaire was developed through literature review and focus group interview, and modified after pilot test. The questionnaires for main survey were distributed to 320 males and females aged 20 and over in Seoul. A total of 275 questionnaires were used for analysis (85.9%) and the statistical analyses were conducted using SPSS Win (12.0) for descriptive analyses, exploratory factor analysis, reliability analysis, and correlation analyses. The main results were as follows. 'Products', 'convenience to use', 'services and price', 'interior environments' 'brand' and 'location' dimensions were extracted as choice attributes dimensions of bakery cafe customers and customers of bakery cafe regarded 'sanitation and cleanness', 'kindness of employees', 'quality of products', 'comfortable and pleasant facilities' and 'taste of bakery products' as more important than other attributes. In addition, the results of IPA showed that marketing managers of bakery cafes should focused on the dimension of 'services and price' in the reason that this dimension was low at performance although customers regarded it very important. Overall, researchers and managers of bakery cafes should understand unique choice attributes of bakery cafe customers, and make efforts to establish marketing strategies that meet bakery cafe customers' needs.