• 한국수학교육학회지시리즈C:초등수학교육
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• 제22권4호
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• pp.223-237
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• 2019

수학적 과정에서 나타나는 언어 구문론적 표현 체계와 정의적 표현 체계 사이에는 긴밀한 상호 작용이 이루어진다. 한편, 수학적 개념 체계도 본질적으로 은유적이므로 언어적 표현을 통해 나타나는 수학적 개념 구조에 대한 분석은 수학 학습에 작용하는 인지 정의적 장애 요인의 근원을 밝히는데 도움이 될 수 있다. 이에 본 연구에서는 수학 영재아의 문제해결 프로토콜을 인지언어와 메타정의의 관점에서 분석하여 텍스트 및 은유의 기능적 특성과 메타정의의 기능적 특성 사이의 관계성을 파악하였다. 그 결과 문제해결의 성공 여부에 따라 수학 영재아의 인지적, 정의적 특성이 반영된 행위의 양상이 서로 다르게 나타났다. 성공적이지 못한 문제해결의 경우에는 성공적인 경우에 비해 내부 표현 체계로서의 은유를 활용하는 행위가 상대적으로 빈번하게 나타났다. 또한 은유의 인지언어학적 측면이 문제해결에 중요하게 작용하면서 동시에 은유라는 외적 표현에는 메타정의적 속성이 긴밀하게 관련되어 나타났다.

• 한국디지털건축인테리어학회논문집
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• 제12권3호
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• pp.49-58
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• 2012

In Regarding urban geo-spatial information visualization in this study, visualization of physical attribute information is mostly related to the representation of spatial domain and physical objects, and visualization of non-physical attribute information has to do with visualizing citizens and their activity information in the physical environment. In particular, a citizen, one of the non-physical information attributes, is characterized by a constant mobility in the physical environment, and thus visualization of his/her activity information is vital in conveying information because this information may not be depicted with any given, fixed figures. In consideration of this difficulty, this study integrates interrelationship among urban space, human needs, social relations, and lifestyles into a 'high-tech' service where experience in time and space is possible. To analyze the web-service and visualization cases, the study has selected visualization indicators consisting of information representation objective, information representation means, and information representation result. The results of the case analysis through specific indicators set a range in information representation objective, means, and result, thereby forming a user-friendly environment in which representational results are readily available to users, and ultimately expanding the users' selection range coming with a variety of options. This study also assumes that a wide range of service provision is needed to reflect users' needs in developing urban geo-spatial service model, and the display of its results should visualize users' satisfaction to construct the best information needed to users.

• 한국시뮬레이션학회논문지
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• 제9권3호
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• pp.65-75
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• 2000

In recent years, significant advances in computers and communication technologies have made multimedia services feasible. As a result, various queuing models and cost models on architecture and data placement for multimedia server have been proposed. However, these analytical techniques use only probabilistic models to represent the behavior of a system, and then they have several limitations like accuracy. Simulation is a viable alternative to analytical model. It avoids many of the limitations associated with analytical techniques, allowing for more precise representation of system attributes like workload in program code. In this paper, we propose a simulation test bed that can evaluate performance of real-time multimedia server by using simulation model.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제16권12호
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• pp.3836-3854
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• 2022

The student group division is benefit for universities to do the student management based on the group profile. With the widespread use of student smart cards on campus, especially where students living in campus residence halls, students' daily activities on campus are recorded with information such as smart card swiping time and location. Therefore, it is feasible to depict the students with the daily activity data and accordingly group students based on objective measuring from their campus behavior with some regular student attributions collected in the management system. However, it is challenge in feature representation due to diverse forms of the student data. To effectively and comprehensively represent students' behaviors for further student group division, we proposed to adopt activity data from student smart cards and student attributes as input data with taking account of activity and attribution relationship types from different perspective. Specially, we propose a novel student group division method based on a multi-view student attribute heterogeneous information network (MSA-HIN). The network nodes in our proposed MSA-HIN represent students with their multi-dimensional attribute information. Meanwhile, the edges are constructed to characterize student different relationships, such as co-major, co-occurrence, and co-borrowing books. Based on the MSA-HIN, embedded representations of students are learned and a deep graph cluster algorithm is applied to divide students into groups. Comparative experiments have been done on a real-life campus dataset collected from a university. The experimental results demonstrate that our method can effectively reveal the variability of student attributes and relationships and accordingly achieves the best clustering results for group division.

• 정보처리학회논문지D
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• 제8D권5호
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• pp.516-572
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• 2001

지리정보시스템은 다양한 분야에서 응용할 수 있는 자료를 다루고 있다. 각 용용 분야를 위한 필요한 정보는 지리정보의 설계 단계에서 지리영역의 응용관점에 따라 다르게 표현될 수 있다. 그러므로 지리정보시스템은 지리현상에서 발생하는 각 객체의 독립성과 동질성 여부에 따라 표현해야 한다. 이 논문은 지리-객체, 지리-필드와 비지리-객체 상에서 속성과 관계 역할에 대한 정의와 정리를 통한 형식화에 대해 연구되었다. 이를 위해 지리-객체는 지리-필드와 비지리-객체의 관계역할에 대한 형식화 관점에서 재구성되었다. 이 연구 결과 이 논문은 공간 클래스의 정적상태 특성인 속성-영역 관계를 공간 관계 역할로 표현하고, 형식화함으로써 기하 속성과 공간 관계 역할에 기반한 지리정보시스템의 효율적 설계의 방법을 제시하였다.

• 한국지능시스템학회논문지
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• 제19권6호
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• pp.796-801
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• 2009

복잡한 진단이나 예측 모델은 계산이 복잡하고 추론 과정을 해석하기 어렵기 때문에 임상현장에서 널리 사용되지 않고 있다. 의료 종사자들은 이러한 복잡한 모델 대신에, 복잡한 함수를 컴퓨터 등을 사용하지 않고도 쉽게 계산할 수 있도록 수치 관계를 그래픽으로 표현한 노모그램을 사용해 왔다. 의료분야에서 질병의 진단과 질병예후의 예측은 매우 주요한 관심사이다. 노모그램은 증상검사결과치료이력질병의 진단 결과 등의 속성을 포함한 임상 데이터들로부터 만들어진다. 노모그램을 만들 때는 가용한 여러 가지 속성 중에서 효과적인 것들을 찾아야 하고, 경우에 따라서는 속성에 대한 파라미터를 함께 결정해야 한다. 이 논문에서는 효과적인 속성과 파라미터를 선택하기 위해 유전자 알고리즘을 사용하고, 노모그램을 생성하기 위해 나이브 베이지언 기법을 사용하는 방법을 제안한다. 또한 제안한 방법을 실제 임상 데이터에 적용한 결과를 보인다.

• International Journal of Computer Science & Network Security
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• 제21권9호
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• pp.247-260
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• 2021

Data modeling is a process of developing a model to design and develop a data system that supports an organization's various business processes. A conceptual data model represents a technology-independent specification of structure of data to be stored within a database. The model aims to provide richer expressiveness and incorporate a set of semantics to (a) support the design, control, and integrity parts of the data stored in data management structures and (b) coordinate the viewing of connections and ideas on a database. The described structure of the data is often represented in an entity–relationship (ER) model, which was one of the first data-modeling techniques and is likely to continue to be a popular way of characterizing entity classes, attributes, and relationships. This paper attempts to examine the basic ER modeling notions in order to analyze the concepts to which they refer as well as ways to represent them. In such a mission, we apply a new modeling methodology (thinging machine; TM) to ER in terms of its fundamental building constructs, representation entities, relationships, and attributes. The goal of this venture is to further the understanding of data models and enrich their semantics. Three specific contributions to modeling in this context are incorporated: (a) using the TM model's five generic actions to inject processing in the ER structure; (b) relating the single ontological element of TM modeling (i.e., a thing/machine or thimac) to ER entities and relationships; and (c) proposing a high-level integrated, extended ER model that includes structural and time-oriented notions (e.g., events or behavior).

• Journal of Information Technology Applications and Management
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• 제28권1호
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• pp.13-31
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• 2021

The purpose of this study is to find the factors that influence big data characteristics on decision satisfaction and utilization behavior, analyze the extent of their influence, and derive differences from existing studies. To summarize the results of this study, First, the study found that among the three categories that classify the characteristics of big data, qualitative attributes such as representation, purpose, interpretability, and innovation in the value innovation category greatly enhance decision confidence and decision effectiveness of decision makers who make decisions using big data. Second, the study found that, among the three categories that classify the characteristics of big data, the individuality properties belonging to the social impact category improve decision confidence and decision effectiveness of decision makers who use big data to make decisions. However, collectivity and bias characteristics have been shown to increase decision confidence, but not the effectiveness of decision making. Third, the study found that among the three categories that classify the characteristics of big data, the attributes of inclusiveness, realism, etc. in the integrity category greatly improve decision confidence and decision effectiveness of decision makers who make decisions using big data. Fourth, it was analyzed that using big data in organizational decision making has a positive impact on the behavior of big data users when the decision-making confidence and finally, decision-making effect of decision-makers increases.

• 품질경영학회지
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• 제46권3호
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• pp.717-738
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• 2018

Purpose: This study aims to analyze why surveys of a single set of customer requirement result in different Kano analyses depending on the survey questionnaire designs. Methods: This study singled out 14 common features from four different questionnaires of two studies of Smart Car features and analyzed them using the Kano model. Several methods and devices were used: Group Comparison and Timko Index were applied; Kano Distribution Index, Timko Dispersion and Kano Conformity were newly introduced for the quantitative analysis; Correlations between Timko indices from different Kano questionnaires were conducted; Heuristic Splitting technic for reinforcing attribute categorization is introduced. Results: Correlation Coefficient proved strong positive relations among the three questionnaires, whose agreement degree of the resulting Kano attributes showed less than 10% when Indifferent was ignored. Heuristic Splitting on Timko charts enhanced the degree of the resulting Kano attributes up to 80%. Conclusion: Among the questionnaires the representation of customer requirements tends to move by parallel shifts on the Timko chart maintaining their relative locations. Heuristic Splitting suggests a rational solution to the interpretation of those inexplicable attribute categories resulting from traditional Kano methods.

• 한국인터넷방송통신학회논문지
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• 제14권2호
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• pp.107-113
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• 2014

러프집합에서 식별불능의 관계와 근사공간의 개념을 이용해서 의사결정표로부터 최적화된 정보를 유도하게 된다. 그러나 일반적으로 결정표에서 데이터의 중복이나 비일관성은 피할 수 없기 때문에 속성의 중요성은 지식의 감축에서 매우 중요한 개념이다. 속성의 중요성에 대한 대수학적인 정의는 도메인중의 완전한 부분집합에 대한 해당 속성이 주는 영향을 고려하는 것이고, 정보이론적인 정의는 도메인 중의 불완전한 부분집합에 대한 해당 속성이 주는 영향을 고려하는 것이다. 따라서 속성 중요성은 정보이론적인 관점의 정의와 대수학인 관점의 정의가 분명하게 차이가 있다. 본 논문에서는 정보시스템의 조건속성과 결정속성에 포함될 수 있는 정보를 최적화하기 위한 정보이론적인 척도로써 러프집합을 이용한 조건부 정보엔트로피를 제안하고 그 효용성을 보인다.