• Journal of Convergence for Information Technology
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• v.10 no.11
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• pp.141-147
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• 2020

This study examined the effects of brand attachment on internal modification behavior and usability expanding behavior of product. It has been found that the attribute alignable difference of product plays a moderating effect in internal modification behavior and usability expanding behavior. As a result of the study, the more brand attachment is high, the more behavior of product internal modification behavior and usability expanding behavior of product are high. In addition, consumers with high brand attachment showed greater internal modification behavior of the product when the difference of attribute alignability was high. Also, consumers with high brand attachment showed greater usability expanding behavior of the product when the difference of attribute non-alignability was high. Companies can improve brand attachment and retain loyal customers by increasing the difference of attribute alignability in consumer's product internal modification behavior. In terms of consumer's behavior of expanding product usage, we can strengthen brand attachment and can be used as a differentiated competitive advantage of products through the attribute nonalignable difference.

• The KIPS Transactions:PartB
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• v.14B no.7
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• pp.531-540
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• 2007

In this research, we proposed a two-phase hybrid stock price forecasting model with cointegration tests and artificial neural networks. Using not only the related stocks to the target stock but also the past information as input features in neural networks, the new model showed an improved performance in forecasting than that of the usual neural networks. Firstly in order to extract stocks which have long run relationships with the target stock, we made use of Johansen's cointegration test. In stock market, some stocks are apt to vary similarly and these phenomenon can be very informative to forecast the target stock. Johansen's cointegration test provides whether variables are related and whether the relationship is statistically significant. Secondly, we learned the model which includes lagged variables of the target and related stocks in addition to other characteristics of them. Although former research usually did not incorporate those variables, it is well known that most economic time series data are depend on its past value. Also, it is common in econometric literatures to consider lagged values as dependent variables. We implemented a price direction forecasting system for KOSPI index to examine the performance of the proposed model. As the result, our model had 11.29% higher forecasting accuracy on average than the model learned without cointegration test and also showed 10.59% higher on average than the model which randomly selected stocks to make the size of the feature set same as that of the proposed model.

• Food Industry And Nutrition
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• v.8 no.2
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• pp.56-59
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• 2003

알칼리성 protease의 일종인 thermoase를 선택하여 다양한 배합비로 고추장을 담금하고, 각 담금별 품질 특성에 대해 조사한 결과, 적정산도는 및 환원당 함량은 개량메주로 담금한 고추장(control)에서 높았다. 아미노태 질소 함량은 thermoase를 0.1% 이상 첨가한 고추장( II ~ V )에서 숙성 30~40일경에 최고 440.23~599.75mg%로, 속성발효 진행을 확인할 수 있었다. 속성고추장의 색상은 숙성이 진행됨에 따라 밝은 적색에서 어두운 암적색으로 변화하였으나 효소제에 따른 일정한 경향은 나타나지 않았다. 각 고추장의 점도는 숙성기간이 경과 될수록 증가 추세였으며, 고추장(IV, V )는 묽어지는 경 향을 나타내었다. 이와 같은 결과를 고려할 때 속성고추장 담금에 적합한 ther-moase 첨가수준은 0.15~0.2%로 사료되었다.

• Proceedings of the Korean Information Science Society Conference
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• 2006.06a
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• pp.1-3
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• 2006

대사증후군은 당뇨병, 고혈압, 복부 비만, 고지혈증 등의 질병이 한 개인에게 동시에 발현하는 것을 말하며, 최근 경제여건의 향상 및 식생활 습관의 변화와 함께 우리나라에서도 심각한 문제가 되고 있다. 한편 불확실성의 처리를 위해 많이 사용되는 베이지안 네트워크는 사람이 분석 가능한 확률 기반의 모델로 최근 의학분야에서 질병의 진단이나 예측모델을 구성하기 위한 방법으로 유용하게 사용되고 있다. 베이지안 네트워크의 구조를 학습하는 대표적인 알고리즘인 K2 알고리즘은 속성이 입력되는 순서의 영향을 받으며, 따라서 이 또한 하나의 주제로써 연구되어 왔다. 본 논문에서는 유전자 알고리즘을 이용하여 베이지안 네트워크에 입력되는 속성 순서를 최적화하며 이 과정에서 의학지식을 적용해 효율적인 최적화가 가능하도록 하였다. 제안하는 모델을 통해 1993년의 데이터를 가지고 1995년의 상태를 예측하는 분류 실험을 수행한 결과 속성 순서 최적화 후에 이전보다 향상된 예측율을 보였으며 또한 다층 신경망, k-최근접 이웃 등을 이용한 다른 모델보다 더 높은 예측율을 보였다.

• Proceedings of the Korea Information Processing Society Conference
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• 2008.11a
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• pp.570-573
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• 2008

최근 시스템을 구축하는데 있어서 점점 더 많은 상용 컴포넌트가 쓰이고 있다. 컴포넌트에서 핵심 요소로 작용하는 요구사항은 기능 요구사항과 비기능 요구사항으로 나뉘며, 실질적인 컴포넌트의 재사용에 있어서 비기능적이 요소가 결정적인 기준으로 작용하고 있다. 비기능 요구사항은 해당 시스템이 지원해야 할 기능 요구사항의 제약사항 또는 품질 속성을 말하며, 소프트웨어의 품질 요구 사항으로 반영된다. 결국 시스템의 품질을 보장하기 위해서는 시스템을 구성하는 컴포넌트가 가진 품질을 고려해야 한다. 따라서 본 논문에서는 시스템의 품질에 관여하는 비기능 요구사항을 분석 및 반영 하기 위해 품질 속성이나 제약사항과 같은 컴포넌트가 가져야 할 비기능 요구사항을 고려한 컴포넌트의 추출 기법을 제안한다. 비기능 요구사항의 분석은 UML의 유스케이스에서 이루어지며 기능-비기능 요구사항의 영향관계를 고려하여 컴포넌트를 추출한다. 추출된 컴포넌트는 문서화를 통해 잘 기술된 제약사항 및 품질 요구사항에 대한 정보를 가지고 있기 때문에 보다 효과적인 컴포넌트를 이용한 개발을 가능케 한다.

• Journal of the Korean Society for information Management
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• v.29 no.4
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• pp.273-294
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• 2012

Images have been substantially searched and used due to not only the advanced internet and digital technologies but the characteristics of a younger generation. The purpose of this study aims to discuss the ways on expanding the access points to images by analyzing the needs of users in context of everyday life. In order to achieve the purpose of this study, 105 questions of image seeking in NAVER, which is one of social Q&A services in Korea, were analyzed. For the analysis, a two-dimensional framework with image uses and image attributes were utilized. The findings of this study demonstrate that considerable use purposes on data oriented pole, such as information processing, information dissemination and learning are identified. On the other hand, image attributes from the needs of image show that non-visual aspects including contextual attributes are recognized substantially in addition to the traditional semantic attributes.

• Journal of the Korea Society of Computer and Information
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• v.11 no.1 s.39
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• pp.27-34
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• 2006

Recently, the study about the technology which effectively manage spatial information is actively conducted. For the effective knowledge inquiry, various extended data mining methods are applied in spatial data mining. However, former spatial association rule system appears the problem that does not reflect various non-spatial property along the inquiries because it searches the rule from the calculation among predicates. To resolve the problem, present study suggests the system that extends the inquiries using in spatial database, searches the association rule among non-spatial object property after setting the data based on space information. Especially, the model which is applicable to geographical information system is embodied. Embodied system with this method enables to search more useful spatial association rule in real life since it shows high migration property with extended spatial database and considers spatial property and various non-spatial property.

• Food Science and Preservation
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• v.12 no.1
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• pp.86-89
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• 2005

To develop the rapid processing of northern sand lance sauce by thermoase, the rapid fermentation conditions and quality of fermented sauce were investigated gated The recommendable condition of rapid fermentation were determined as follows: thermoase concentration, fermentation time and fermentation temperature were $0.2\%$, 9hr and $60^{\circ}C$, respectively. The northern sand lance sauce fermented rapidly showed light brown color. The sweet amino acids were higher in the rapid fermented-sauce than commercal fermented sauce although the content of total nitrogen, amino nitrogen and total amino acids were low in it. Hereafter we suppose that the rapid fermented sauce by thermoase will be wide usable because it can use the salted northern sand lance in short time.

• The KIPS Transactions:PartD
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• v.8D no.5
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• pp.516-572
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• 2001

Geographic Information System(CIS) deal with data which can potentially be useful for a wide range of applications. The information needed by each application can be vary, specially in resolution, detail level, application view, and representation style, as defined in the modeling phase of the geographic database design. To be able to deal with such diverse needs, GIS must offer features that allow multiple representation for each geographic entity of phenomenon. This paper addresses on the problem of formal definition of the objects and their relationships on the geographical information systems. The geographical data is divided into two main classes : geo-objects and geo-fields, which describe discrete and continuous representations of spatial reality. I studied the attributes and the relationship roles over geo-object and nongeo-object. Therefore, this paper contributed on the efficient design of geographical class hierarchy schema by means of formalizing attribute-domains of classes.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.38 no.6
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• pp.1-17
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• 2001

Nowadays, spatiotemporal data models deal with objects which can be potentially useful for wide range applications in order to describe complex objects with spatial and/or temporal facilities. However, the information needed by each application usually varies, specially in the geographic information which depends on the kind of time oriented views, as defined in the modeling phase of the spatiotemporal geographic data design. To be able to deal with such diverse needs, geographic information systems must offer features that manipulate geometric, space-dependent(i.e, thematic), and spatial relationship positions with multiple time oriented views. This paper addresses problems of the formal definition of relationships among spatiotemporal objects and their properties on geographic information systems. The geographical data are divided in two main classes : geo-objects and geo-fields, which describe discrete and continuous representations of the spatial reality. I study semantics and syntax about the temporal changes of attributes and the relationship roles on geo-objects and non-geo-objects, This result will contribute on the design of object oriented spatiotemporal data model which is distinguishied from the recent geographic information system of the homogeneously anchored spatial objects