• 한국전자통신학회논문지
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• 제16권5호
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• pp.947-956
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• 2021

메타버스에 대한 관심이 증가하면서 가상현실을 간접 체험에 접목하려는 많은 노력이 이루어지고 있으며, 게임과 같은 오락뿐만 아니라 학생들의 교육에 활용하고자 하는 시도도 증가하고 있다. 간접 체험의 핵심적인 기술은 사용자가 실제와 같이 느낄 수 있게 대상을 모델링하는 것이다. 갯벌과 같은 자연환경은 시간에 따라 수시로 변하고, 많은 생명체들도 서식한다. 본 논문에서는 갯벌의 생태 환경을 사실적으로 표현하는 체험 콘텐츠를 제작하는 방법을 제안한다. 제안하는 방법에서는 갯벌이 시간적으로 변화하는 모습을 자연스럽게 모델링하는 방법을 설명하고, 갯벌에 서식하는 생명체인 게를 행동 트리를 이용하여 NPC 형태로 모델링하는 방법을 설명한다. 구현 결과는 제안하는 방법이 간단한 알고리즘을 사용하지만 갯벌의 모습을 잘 표현하는 것을 보여준다.

• 디지털융복합연구
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• 제19권11호
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• pp.445-456
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• 2021

본 연구는 소비자의 구매행동에 영향을 미치는 거시경제변수와 소비자 판매가격을 변수로 여성 골프웨어 판매량에 영향을 미치는 변수의 중요도를 확인하고 골프웨어의 판매 증진을 위한 가격전략을 제안하는 것을 목적으로 한다. 국내 여성 골프웨어 브랜드의 매출자료를 의사결정나무 알고리즘과 앙상블을 이용해 분석하였다. 티셔츠, 팬츠와 니트류는 소비자 판매가격이 판매량에 가장 중요한 영향을 미치는 요인인 것으로 밝혀졌으며, 스커트와 원피스의 경우 소비자 판매가격 외에 카테고리가 중요 요인인 것으로 밝혀졌다. 이러한 연구 결과는 아이템에 따라 소비자의 구매 행동에 영향을 주는 경제 변수가 다르다는 것을 의미하는 것으로 적절한 가격전략을 통해 매출 및 이윤을 극대화할 수 있음을 시사하고 있다.

• 대한기계학회:학술대회논문집
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• 대한기계학회 2001년도 춘계학술대회논문집D
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• pp.272-279
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• 2001

The objective of this paper is the investigation of the relationships between the surface roughness and film evaporative characteristics of the surface. For example, when the droplet of liquid is in contact with the solid surface, its behavior strongly depends on the surface characteristics. The material properties and geometry - profile shape, waviness, roughness - of the surfaces have strongly influenced on the wettability of the droplet. To investigate the effect of the surface roughness on the film evaporation, firstly, the characteristics of wettabilities were studied according to contact angle and surface tree energy of specimens with various roughness heights. Secondly, the experimental test were carried out on capacities of the tubes diversly roughened by using different kinds of emery papers. Finally, the relationships between the film evaporation characteristics and surface roughness were explained by means of the correlation of contact angle and surface free energy with surface roughness and the influences of surface tree energy on the heat transfer performance.

• 한국멀티미디어학회논문지
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• 제6권3호
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• pp.549-555
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• 2003

LFSR보다 CA가 랜덤성이 우수한 패턴들을 효율적으로 생성함이 알려지면서 그 응용분야가 점차적으로 확대되고 있다. 특히 Nongroup CA는 해쉬함수의 생성, 암호알고리즘, 이미지 압축 등에 응용되고 있다. 본 논문에서는 TPNCA의 성질들을 분석하고, 선형 TPNCA의 0-트리의 기본경로와 순환상태의 사이클 구조를 이용하여 선형 TPNCA의 상태 전이그래프의 정확한 구조를 파악하는데 사용되던 기존의 행렬의 곱셈 연산 방법을 덧셈 연산으로 대체할 수 있음을 보였다. 또한 선형 TPNCA C의 0-트리의 비순환 상태를 여원벡터로 갖는 여원 TPNCA C'은 C와 그 구조가 동형임을 밝힘으로써 선형 TPNCA로부터 여원 TPNCA의 상태들의 위치를 정확하게 파악하여, CA를 이용하는 알고리즘을 개발하는데 있어 선행되어야 하는 CA의 상태를 분석하는 시간을 효과적으로 줄였다.

• Nutrition Research and Practice
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• 제3권3호
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• pp.220-225
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• 2009

The objective of this study was to assess beliefs (e.g. advantages, disadvantages, benefits, barriers) and knowledge about eating peanuts and tree nuts. Personal interviews based on the Theory of Planned Behavior were conducted to elicit beliefs about eating nuts. Then, a cross-sectional survey was administered to WIC participants from one county in North Carolina. One-hundred-twenty-four WIC participants (mean (SD) age=28.39 (8.09) completed the study. Most were Caucasian (51.6%) females (96%). About one third believed that eating nuts may help to lower cholesterol level. However, only about one forth believed that nuts can lower a risk of a heart attack or diabetes. More than one third believed that eating nuts will cause weight gain. The knowledge of respondents' about nutrient content of nuts was low with correct answers to most questions about 20% or below. The mean (SD) positive attitude, negative attitude, benefits and barriers scores, based on a range from 1 to 5, were 2.53 (0.91), 3.25 (0.89), 2.97 (0.85) and 2.90 (0.76), respectively. WIC participants' beliefs regarding the health effects of nuts are inconsistent with the most recent research findings. They are in a need to education about benefits of eating nuts.

• 한국조경학회지
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• 제18권3호통권39호
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• pp.71-84
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• 1990

This study was executed to investigate matters connected with planting of Gapho Citizen's Woods(Park), and to offer the data about countermeasure. The study was executed in 1988 and 1989. The contents of the study were the condition of plants, the environmental factors, the states of tree planting and the user's behavior. The result of this study can be summarized as follows. 1. Because of incongruity of soil and regardless of physiological properties of trees, the plants were damaged by their environment. In particular, the stress of soil moisture was serious. 2. The unsuitable planting forms for the park were found out through the park, which was the result of imprudent, additional planting. And so in planting trees additionally, the participation of landscape architect is needed. 3. There is a serious noisy problem from express way. Because when they planted trees, they did not consider about noise. It affected the quality and utilization of the park.

• 아태비즈니스연구
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• 제11권4호
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• pp.21-36
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• 2020

Purpose - This study analyzes the effect of sellers' dishonesty on various market outcomes such as seller profit, buyer profit, and market welfare, through precisely measuring the level of sellers' information disclosure and its economic impacts. As an explicit observation of sellers' dishonesty is not easy in most other settings, this study is expected to suggest unique and meaningful implications on the effect of sellers' incomplete information disclosure to researchers, managers, and policy makers. Design/methodology/approach - In order to precisely measure the level of sellers' dishonesty under information asymmetry, this study analyzes the data from an incentive-based economic experiment using z-Tree software. This experimental method enables us to focus on the strategic interactions among participants, observe the integrity of seller's information disclosure, and reproduce real market situations. Findings - The analysis of sellers' dishonesty has provided the following important and counterintuitive findings about the reality of buyer-seller interactions under information asymmetry. First, sellers' lies do not affect seller profit even when they are very intensive. Second, sellers' dishonesty negatively affects buyer profit and the entire market welfare. Third, a seller's quality claim has a positive effect on the seller profit only when a seller is being honest. Research implications or Originality - This study analyzes sellers' dishonesty using incentive-based economic experiment using z-Tree software which provides a straightforward examination on dishonest behavior of sellers, that is not readily available with other types of observational or experimental data.

• 품질경영학회지
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• 제50권3호
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• pp.533-543
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• 2022

Purpose: The purpose of this study is to identify and resolve the causes of defects in the unmanned aerial vehicle launch system(propulsion wire fracture, rear rail deformation) and to prevent recurrence. Methods: The causes of the two defects were derived through fault tree analysis for each of the two defects and fault reproduction tests. In the case of propulsion wire, the installation of a high speed camera to check the behavior of wire was the driving force behind the defect resolution. Results: The results of this study are as follows; It was determined that the thickness of the washer was less than the maximum tolerance of the pulley was the cause of the propulsion wire fracture defect. Failure to comply with the launch procedure and insufficient safety margin were judged as the cause of the rear rail deformation defect. Accordingly, the configuration was changed to remove each defect. Conclusion: The case of this study was conducted to eliminate defects in the launch system for UAV. The causes of defects were estimated through fault tree analysis. After the configuration change, Structural analysis and launch tests were performed to demonstrate the safety and effectiveness of the modified configuration. As a result, the effect of the modified configuration was verified.

• 품질경영학회지
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• 제46권3호
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• pp.739-752
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• 2018

Purpose: The purpose of this study was to investigate the relationship between kiln processing parameters and NOx emissions that occur in the sintering and calcination steps of the cement manufacturing process and to derive the main factors responsible for producing emissions outside emission limit criteria, as determined by category models and classification rules, using data mining techniques. The results from this study are expected to be useful as guidelines for NOx emission control standards. Methods: Data were collected from Precalciner Kiln No.3 used in one of the domestic cement plants in Korea. Thirty-four independent variables affecting NOx generation and dependent variables that exceeded or were below the NOx emiision limit (>1 and <0, respectively) were examined during kiln processing. These data were used to construct a detection model of NOx emission, in which emissions exceeded or were below the set limits. The model was validated using SPSS MODELER 18.0, artificial neural network, decision treee (C5.0), and logistic regression analysis data mining techniques. Results: The decision tree (C5.0) algorithm best represented NOx emission behavior and was used to identify 10 processing variables that resulted in NOx emissions outside limit criteria. Conclusion: The results of this study indicate that the decision tree (C5.0) can be applied for real-time monitoring and management of NOx emissions during the cement firing process to satisfy NOx emission control standards and to provide for a more eco-friendly cement product.

• 한국멀티미디어학회논문지
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• 제9권12호
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• pp.1529-1541
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• 2006

Moving objects have been widely employed in traffic and logistic applications. Spatio-temporal aggregations mainly describe the moving object's behavior in the spatial data warehouse. The previous works usually express the object moving in some certain region, but ignore the object often moving along as the trajectory. Other researches focus on aggregation and comparison of trajectories. They divide the spatial region into units which records how many times the trajectories passed in the unit time. It not only makes the storage space quite ineffective, but also can not maintain spatial data property. In this paper, a spatio-temporal aggregation index structure for moving object trajectory in constrained network is proposed. An extended B-tree node contains the information of timestamp and the aggregation values of trajectories with two directions. The network is divided into segments and then the spatial index structure is constructed. There are the leaf node and the non leaf node. The leaf node contains the aggregation values of moving object's trajectory and the pointer to the extended B-tree. And the non leaf node contains the MBR(Minimum Bounding Rectangle), MSAV(Max Segment Aggregation Value) and its segment ID. The proposed technique overcomes previous problems efficiently and makes it practicable finding moving object trajectory in the time interval. It improves the shortcoming of R-tree, and makes some improvement to the spatio-temporal data in query processing and storage.