• 한국실내디자인학회논문집
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• 제13권3호
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• pp.171-178
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• 2004

A thesis presented on the study of visitors circulation character, and components in an exhibition space in museums. A behavior ethogram is an investigational tool of tracing examination of visitors. An exhibition layout and behavior characters of exhibition viewing in the configuration of exhibition space are planned by using the method of the behavior ethogram. As time goes by an expansion of a museums concept and changing roles are more extroversive and constructive than the past. It will reflect the phases of the times and show several different aspects. The reflection of the changing circumstance will have to examine an each relationship between exhibition data, exhibition spaces and visitors In the beginning of a plan of the museum. However, the study of a unique behavior pattern and character which are made by moving visitors themselves are quietly not enough studied. The exhibition layout which is considerably examined by the viewing behavior of visitors in act response and a following circulation of viewing have a lack of precise directions and examples. In short, this study ultimately represents to grasp the meaning of the behavior characters of viewing. Furthermore, the basic directions in the museums plan are carefully considered by the reflection of exhibition circulation.

• 대한가정학회지
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• 제41권8호
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• pp.139-158
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• 2003

This study investigated the effects of Korean parents' family-of-origin experiences, marital conflict, open or dysfunctional communication with their children, children's coping behaviors on their behavior problems as a function of a child's sex. Theoretical models for both sexes were constructed based on the results. Two hundred and nine boys and one hundred and ninety six girls of 4th and 5th grades from two elementary schools filled out the questionnaires to assess their communication with the parents, their problem-focused coping behaviors, and their internalizing and externalizing behavior problems. Four hundred five parents of these children answered the questionnaires to assess differentiation for the family-of-origin and the marital conflict. The results were as follows. Boys' path pattern showed that the fathers' differentiation from the family-of-origin effected their sons' internalizing and externalizing behavior problems through parent-child dysfunctional communication. Girls' path exhibited two different patterns. One is that the mothers' differentiation from the family-of-origin effected their daughters' internalizing and externalizing behavior problems through parent-child dysfunctional communication. Another one is that the mothers' differentiation from the family-of-origin influenced children's internalizing behavior problems through daughters' problem-focused coping behaviors as well as parent-child dysfunctional communication.

• 기술혁신연구
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• 제14권2호
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• pp.29-48
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• 2006

This paper analyzes organizational behavior of an established firm when disruptive innovation, a change in product architecture, occurs on a previous product. For the analysis, the paper analyzes and compares the behavior of an established fm through product trajectories between NEC (an established firm) and Toshiba (a new entrance) in the Japanese laptop computers industry. An established firm that has developed and produced a previous product is difficult in adapting to a disruptive innovation due to accumulated immense knowledge through a previous product. By using regression model in the product trajectory analysis, the paper analyzes the behavior of established firms. Product trajectory means a pattern of product strategy shown in a series of products. Two facts found in the paper are as follows. First, though NEC was able to develop a laptop computer at the same time with Toshiba, it was restricted by the resources of a previous product in the early stage. Second, possibility of teaming trap in the adapting process was found. The paper found the risk that too much commitment in one evolution stage would prohibit the adapting behavior in the next evolution stage.

• International Journal of Clinical Preventive Dentistry
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• 제14권4호
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• pp.241-246
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• 2018

Objective: This study was performed to verify how DISC behavior patterns affect the major satisfaction and professionalism of dental hygiene students and provide basic data for dental hygiene students to have increased major satisfaction and maximize their strength by understanding their DISC behavior pattern. As a result, the following conclusion was obtained. Methods: The data was collected From November 1, 2018 to November 14, 2018, 218 dental hygiene students. Data was collected using self-reported questionnaires. Statistical analysis was performed with IBM SPSS ver. 21.0. Mean (standard deviation) and one-way ANOVA & pearson correlation were performed. Results: The most frequent DISC behavior patterns of dental hygiene students was steadiness types (49.0%) followed by influence types (34.5%), conscientiousness types (9.0%), and dominance types (7.5%). There were no significant difference in professionalism and major satisfaction according to DISC behavior patterns in dental hygiene students. There was a correlation between major satisfaction and professionalism of dental hygiene students. Conclusion: In conclusion, in order for dental hygiene students to establish positive professionalism through increased major satisfaction, it is necessary to make various efforts such as providing consultation and education that corresponds to each student's DISC behavior patterns. These efforts will provide the students career vision and encourage them to improve their academic achievement and find employment that fits their vocational aptitude.

• 생태와환경
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• 제40권2호
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• pp.352-356
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• 2007

The effects of food concentration (Chlorella vulgaris) and predator (Pseudorasbora parva) density on the distributional pattern of Daphnia pulex was evaluated in observation chambers. It was found that in the chamber with higher food concentration, Daphnia began to aggregate and formed tighter swarms. The close distance between each individual and distance from the center of swarm were observed in higher food conditions however, this distributional pattern was not seen in the chamber without food. Thus it suggests that the food is necessary for the swarming behavior of Boptnia in natural habitat. The swarming developed regardless of predator existence and the predator density did not affect swarming pattern of Daphnia.

• 한국학교보건학회지
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• 제22권2호
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• pp.137-146
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• 2009

Purpose: This study was performed to identify the socioeconomic factors, the health behavior factors and dietary pattern that have an influence on abdominal obesity, as measured by using the waist circumference in children and adolescents. Methods: This study used data collected from 1998, 2001, 2005 Korean National Health and Nutrition Examination Survey (NHANES). Final sample included 3,596 subjects from 10 to 19 years old who had completed necessary health examinations, health behaviors survey, and nutrition survey. Results: 12 dietary patterns emerged from factor analysis with different factor loading. Logistic regression analysis of the factors that affect abdominal obesity showed that the education level, BMI(Body Mass Index) and dietary pattern, 'Kimchi' including Korean cabbage and radish affected the abdominal obesity in children and adolescents. Conclusions: Abdominal obesity is a risk factor for morbidity and mortality, and it is associated with chronic diseases, including cardiovascular disease and diabetes. Based on the findings, it is essential to modify dietary pattern for preventing abdominal obesity, which is a condition associated with the incidence of chronic disease in adults.

• 한국통신학회논문지
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• 제28권5B호
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• pp.489-499
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• 2003

본 논문은 CPN(Colored Petri Nets)을 이용한 Honypot 모델의 설계 및 구현에 관한 것이다. 제안된 Honeypot 모델은 해커의 침입을 능동적으로 유도하고 침입을 탐지 및 행동패턴의 파악을 위해 보안커널 모듈과 유도된 해커의 활동을 위한 가상 모듈로 구성되어 있으며, CPN을 이용한 모델과 기존의 Denning 모델 및 Shieh 모델과 비교 분석하였다. 본 논문에서 제안된 CPN을 이용한 Honeypot 모델은 침입패턴의 특성에 대한 분류가 가능하고, 침입패턴의 모델링과 패턴매칭 과정의 모델링이 가능하며. 다중 호스트를 통한 DDoS 공격의 탐지가 가능하고, 마지막으로 침입패턴의 분석을 위한 학습모델의 기반 제공이 가능하다.

• 한국전산구조공학회:학술대회논문집
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• 한국전산구조공학회 1998년도 가을 학술발표회 논문집
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• pp.251-257
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• 1998

Spherical space frame structure with triangular network pattern, which has the various characteristics for the mechanic property, a funtional property, an aesthetic property and so on, has often been used as one of the most efficient space structures. It is expected that this type will be used widely in large-span structural roofs. But because this structure is made of network by combination of line elements there me many nodes therefore, the structure behavior is very complicated and there can be an overall collapse of structure by buckling phenomenon if the external force reaches a limitation. This kind of buckling is due to geometric shape, network pattern, the number of layer and so on, of structure. Therefore spherical space frame with triangle network pattern have attracted many designers and researchers attention all over the world. The number of layer of space frame is divided in to the simgle, double, multi layer. That is important element which is considered deeply in the beginning of structural design. The buckling characteristics of single-layer model and double-layer model for the spherical space frame structure with triangular network pattern are evaluated and the buckling loads of these types are compared with investigation their structural efficiency in this study.

• JSTS:Journal of Semiconductor Technology and Science
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• 제14권4호
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• pp.391-406
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• 2014

The performance of General-Purpose computation on Graphics Processing Units (GPGPU) is heavily dependent on the memory access behavior. This sensitivity is due to a combination of the underlying Massively Parallel Processing (MPP) execution model present on GPUs and the lack of architectural support to handle irregular memory access patterns. Application performance can be significantly improved by applying memory-access-pattern-aware optimizations that can exploit knowledge of the characteristics of each access pattern. In this paper, we present an algorithmic methodology to semi-automatically find the best mapping of memory accesses present in serial loop nest to underlying data-parallel architectures based on a comprehensive static memory access pattern analysis. To that end we present a simple, yet powerful, mathematical model that captures all memory access pattern information present in serial data-parallel loop nests. We then show how this model is used in practice to select the most appropriate memory space for data and to search for an appropriate thread mapping and work group size from a large design space. To evaluate the effectiveness of our methodology, we report on execution speedup using selected benchmark kernels that cover a wide range of memory access patterns commonly found in GPGPU workloads. Our experimental results are reported using the industry standard heterogeneous programming language, OpenCL, targeting the NVIDIA GT200 architecture.

• KEPCO Journal on Electric Power and Energy
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• 제2권1호
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• pp.61-69
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• 2016

Understanding load patterns and customer classification is a basic step in analyzing the behavior of electricity consumers. To achieve that, there have been many researches about clustering customers' daily load data. Nowadays, the deployment of advanced metering infrastructure (AMI) and big-data technologies make it easier to study customers' load data. In this paper, we study load clustering from the view point of yearly and daily load pattern. We compare four clustering methods; K-means clustering, hierarchical clustering (average & Ward's method) and DBSCAN (Density-Based Spatial Clustering of Applications with Noise). We also discuss the relationship between clustering results and Korean Standard Industrial Classification that is one of possible labels for customers' load data. We find that hierarchical clustering with Ward's method is suitable for clustering load data and KSIC can be well characterized by daily load pattern, but not quite well by yearly load pattern.