• 한국의류학회지
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• 제24권5호
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• pp.628-639
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• 2000

The purpose of this study is to propose a model of private brands proneness form-ation considering the six private brands proneness-related variables simultaneously. Since the theoretical framework is based on previous research in various areas, it serves as an integrative one. Data were collected via intercept surveys conducted at nine regional branches of two major department stores situated in Seoul. Participants(n=1,120), who had previously purchased women's private brand apparel, were asked to complete a questionnaire during two weeks from March 15, 1999 to March 28, 1999. LISREL and SPSS PC+ were used to test the model and analyze its variables. The fitness of the model show the reasonable fit between all indices(RMSR=.036, GFI=.99, AGFI=.92, and NFI=.95). The proposed model supports all the hypothesized relationships. Private brands proneness increases as perceived money value of products, familiarity, positive store image of private brands, and satisfaction of individuals' differentiated needs increase. Furthermore, perceived money value of products increase as perceived risk of private brand purchase and perceived quality variation between private brand products and manufacture's products decrease.

• 수산해양기술연구
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• 제30권3호
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• pp.161-171
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• 1994

Mesh selection analysis for the trawl net were carried out at the Southern Korean Sea and the East China Sea during the 1992-1994 years by the training ship Seabada of the National Fisheries University of Pusan, using A type (51.2mm), B type (70.2mm), C type (77.6mm), D type (88.0mm) square mesh cod-ends. The fishing trials were made using bottom trawl of the trouser type cod-end with cover net. Selection curves and selection parameters were calculated by a logistic model for Sphyraena pinguis, Pampus argenteus, Trachurus japonicus, Pagrus major, Callanthias japonicus, Trichiurus lepturus. The results obtained are summarized as follows: 1. Red barracuda : Selection range and fifty percent selection length in the A type was 115.8mm, 292.8mm, respectively. 2. Harvest fish : Each selection range and fifty percent selection length in the B. C. and D type was 37.7mm, 113.8mm : 40.1mm, 131.7mm and 64.8mm, 148.6mm, respectively. Selection parameters of master curve were : slope, 3.81 : intercept, -6.4. Optimum mesh size was 89.3mm. 3. Horse mackerel : Each selection range and fifty percent selection length in the A, B, C and D type was 43.0mm, 148.3mm : 60.7mm, 183.2mm, 214.5mm and 91.4mm, 254.9mm, respectively. Selection parameters of master curve were : slope 2.30 : intercept, -6.4. Optimum mesh size was 66.8mm. 4. Red seabrem : Selection range and fifty percent selection length in the D type was 42.7mm, 203.4mm, respectively. 5. Yellowsail red bass : Selection range and fifty percent selection length in the A type was 84.0mm, 110.6mm, respectively. 6. Hair tail : Each selection range and fifty percent selection length in the A, B and C type was 59.7mm, 176.0mm : 100.9mm, 250.7mm and 178.6mm, 307.0mm, respectively. Selection parameters of master curve were : slope, 1.54 : intercept, -5.4. Optimum mesh size was 57.5mm.

• Asia pacific journal of information systems
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• 제25권3호
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• pp.563-578
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• 2015

Forecasting daily box-office performance is critical for planning the distribution of marketing resources, and by extension, maximizing profits. For certain movies, the number of viewers increases rapidly at the beginning of their theatrical run, and the increments slow down later. Other movies are not popular in the beginning, but the audience sizes grow rapidly afterward. Thus, the audience attendance of movies grow in different trajectories, which are influenced by various factors including marketing budget, distributors, directors, actors, and word of mouth. In this paper, we propose a method for predicting the daily performance trajectory of running movies based on the hierarchical linear model. More specifically, we focus on the effect of online word of mouth on the shape of the growth curves. We fitted the mean trajectory of the cumulative audience size as a cubic function of time, and allowed the intercept and slope to vary movie-to-movie. Moreover, we fitted the linear slope with a function of online word of mouth predictors to help determine the shape of the trajectories. Finally, we provide performance predictions for individual movies.

• Journal of the Korean Wood Science and Technology
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• 제36권5호
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• pp.56-65
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• 2008

In this paper experimental results are presented for the rheological behavior of high-solids saccharification of mixed northeast hardwood as a model feedstock. The experimental determination of the viscosity, shear stress, and shear rate relationships of the 10 to 20 percent slurry concentrations with constant enzyme concentrations were performed under variable rotational speed of a viscometer (2.0 to 200 RPM) at combined temperatures (50 to $30^{\circ}C$) for the initial four hours. The viscosities of saccharification slurries observed were in the ranges of 0.024 to 0.028, 0.401 to 0.058, and 0.840 to 0.087 Pa s for shear rates up to 100 reciprocal seconds at 10, 15, and 20 percent initial solids (w/v) respectively. The fluid behavior of the suspensions was modeled using the power-law, the Herschel-Bulkley, the Casson, and the Bingham model. The results showed that broth slurries were pseudoplastic with a yield stress. The model slope increased and the model intercept decreased with increasing fermentation time at shear rates normal for the fermentor. The broth slurries exhibited Newtonian behavior at high and low shear rates during initial saccharification process. The solid particle size ranged from 57.8 to $70.0{\mu}m$ for $40^{\circ}C$ and from 44.0 to 57.5 11m for combined temperatures at 10, 15, and 20 percent initial solids (w/v) respectively.

• 한국컴퓨터정보학회논문지
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• 제11권6호
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• pp.289-298
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• 2006

무선 네트워크(Wireless Network)의 약한 연결성 및 접속단절, 모바일 클라이언트의 이동성. 모바일 클라이언트의 휴대성으로 인해 발생하는 모바일 데이터베이스 시스템(Mobile Database System) 관련 이슈들과 이 문제들을 해결하기 위한 연구들이 한창이다. 이동 컴퓨팅은 언제 어디서나 원하는 모든 정보를 이용할 수 있는 사용자의 편의성이나 성능 면에서의 요구를 만족시키고 있지만, 데이터 관리 측면에서는 해결되어야만 하는 많은 문제점들을 안고 있다. 본 논문은 모바일 클라이언트-서버(Mobile Client-Server) 환경에서 모바일 데이터베이스 시스템 특성상 가질 수 있는 무선 네트워크의 약한 연결성 및 접속성 단절로 인한 데이터베이스 비축(Database Hoarding)과 관련된 문제 공유 데이터(Shared Data)의 일관성(Consistency)유지 문제, 그리고 로그 최적화 문제를 해결하기 위한 모바일 연속 질의 처리 시스템(MCQPS : Mobile Continuous Query Processing System)을 포함하는 새로운 모바일 클라이언트-서버 시스템을 설계하는데 목적이 있다. 또한. MCQPS의 효율성 증명을 위해 C-I-S(Client-Intercept -Server) 모델과의 성능비교를 통해 제안한 시스템이 우수하다는 것을 입증한다. 그리고 실시간 연속 질의를 위해 제안한 색인 구조와 기법의 효율성을 입증하기 위해 다양한 실험을 수행한다.

• 한국군사과학기술학회지
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• 제22권6호
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• pp.745-753
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• 2019

Recently, with the development of long-range / high-altitude guided weapon system for defense against ballistic missile, test range and firing altitude for guided weapons are increasing. Due to the increase in the test range and the intercepting altitude, it is expected to increase the range of safety area required for the firing test. Comparing to the foreign countries which have many desert or non-residence, in the domestic circumstances where the population is concentrated and distributed, it is more important to predict the falling area and to set the safety area for safely carry out the long-range / high-altitude intercept test. In this paper, we consider the following three points. The first is the booster fall trajectory modeling, the second is the shroud fall trajectory modeling, and finally, the debris dispersion modeling for the missile intercept. Especially, the AUTODYN model was used to predict debris falling area which produced in the high-speed guided missile intercepting test.

• 한국추진공학회:학술대회논문집
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• 한국추진공학회 2008년 영문 학술대회
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• pp.330-339
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• 2008

Ground-based interceptors(GBI) comprise a major element of the strategic defense against hostile targets like Intercontinental Ballistic Missiles(ICBM) and reentry vehicles(RV) dispersed from them. An optimum design of the subsystems is required to increase the performance and reliability of these GBI. Propulsion subsystem design and optimization is the motivation for this effort. This paper describes an effort in which an entire GBI missile system, including a multi-stage solid rocket booster, is considered simultaneously in a Genetic Algorithm(GA) performance optimization process. Single goal, constrained optimization is performed. For specified payload and miss distance, time of flight, the most important component in the optimization process is the booster, for its takeoff weight, time of flight, or a combination of the two. The GBI is assumed to be a multistage missile that uses target location data provided by two ground based RF radar sensors and two low earth orbit(LEO) IR sensors. 3Dimensional model is developed for a multistage target with a boost phase acceleration profile that depends on total mass, propellant mass and the specific impulse in the gravity field. The monostatic radar cross section (RCS) data of a three stage ICBM is used. For preliminary design, GBI is assumed to have a fixed initial position from the target launch point and zero launch delay. GBI carries the Kill Vehicle(KV) to an optimal position in space to allow it to complete the intercept. The objective is to design and optimize the propulsion system for the GBI that will fulfill mission requirements and objectives. The KV weight and volume requirements are specified in the problem definition before the optimization is computed. We have considered only continuous design variables, while considering discrete variables as input. Though the number of stages should also be one of the design variables, however, in this paper it is fixed as three. The elite solution from GA is passed on to(Sequential Quadratic Programming) SQP as near optimal guess. The SQP then performs local convergence to identify the minimum mass of the GBI. The performance of the three staged GBI is validated using a ballistic missile intercept scenario modeled in Matlab/SIMULINK.

• 대한불안의학회지
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• 제17권2호
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• pp.49-58
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• 2021

Objective : The purpose of this study was to investigate the longitudinal trajectories of life satisfaction, loneliness, and depression and to identify the factors that influence these trajectories in North Korean Defectors (NKD). Methods : NKD (n=300) who registered in the multi-regional adaptation center (Hana Center), within three years of settling in South Korea, were recruited into this study. Life satisfaction, loneliness, and depression were assessed with self-report questionnaires over a period of 4 years (7 waves of data). Latent growth modeling was conducted to assess the changes in life satisfaction, loneliness, and depression. Results : Findings from both unconditional and conditional models (with gender, South Korea settlement age, household income, marital status, and PTSD at wave 1) indicated a linear increase in loneliness and depression, and a linear decrease in life satisfaction over the 4-year period. In the conditional model, gender predicted the intercept of life satisfaction and depression. In addition, PTSD predicted the intercept of life satisfaction, loneliness, and depression and slope of depression. Conclusion : Our finding suggests that the mental health of NKD tends to deteriorate over time after settling in South Korea. Therefore, continuous support is necessary for their successful adaptation to the South Korean Society.

• 한국시뮬레이션학회논문지
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• 제30권1호
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• pp.31-42
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• 2021

한국군은 북한의 탄도미사일 위협에 대응하기 위해 단층방어의 취약점을 보완할 수 있는 다층방어를 구성 중이다. 이에 따라 다층방어체계의 요격률을 극대화 할 수 있는 운용방안 연구가 필요하며, 한국형 미사일 방어체계의 운용방안을 연구하기 위해서는 한국군의 작전환경, 전략적 타격체계의 효과 등을 종합적으로 고려해야 할 것이다. 따라서 본 연구는 한국형 미사일 방어체계의 특성을 반영한 시뮬레이션을 구성하고 총 4가지 요격미사일 운용방안을 선정하여 비교분석 하였다. 시뮬레이션 결과, 탄도미사일 위협 추정량과 요격미사일 보유량, 전략적 타격체계의 효과를 종합적으로 고려하는 것이 다양한 상황에서 높은 요격률을 달성할 수 있음을 확인하였다.

• 한국시뮬레이션학회논문지
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• 제27권2호
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• pp.35-48
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• 2018

북한의 전술탄도미사일(TBM, tactical ballistic missile)에 대한 방공 분야 연구는 빠른 속도로 변화하는 전장 환경을 고려해야 한다. 아군 유도탄의 표적 재지정 연구는 동적인 전장에 대한 대응뿐만 아니라 아군 방어 자산의 효과적인 운용을 가능하게 한다. 현재까지 진행된 연구는 의사 결정 과정에서 중요한 역할을 하는 TBM의 명중 확률이 고정된 값이기 때문에 실시간 전장 상황을 대변하지 못한다. 따라서 본 연구는 실시간 전장 환경을 고려한 명중 확률을 기반으로 의사 결정을 내리는 표적 재지정 알고리즘을 제안한다. 제안 방법론은 랜덤 포레스트와 무빙윈도우(moving window) 기법을 사용하여 현재 TBM의 위치 및 속도 정보로 TBM의 예상 궤적을 예측하는 궤적 예측 모형을 포함한다. 예상 명중 확률은 궤적 예측 모형과 유도탄의 시뮬레이터를 통해서 계산할 수 있으며, 계산된 명중 확률은 유도탄에 대한 표적 재지정 알고리즘의 의사결정 기준이 된다. 실험에서는 TBM 궤적 예측 모형에 사용한 방법론의 타당성이 검증되었으며, 표적 재지정 의사 결정 과정에서 제안된 모델을 통해 명중 확률을 사용하는 것의 우수성이 확인되었다.