• Title/Summary/Keyword: 개선 모델

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Modified Thermal-divergence Model for a High-power Laser Diode (고출력 레이저 다이오드 광원의 열저항 개선을 위한 하부층 두께 의존성 수정 모델)

  • Yong, Hyeon Joong;Baek, Young Jae;Yu, Dong Il;O, Beom Hoan
    • Korean Journal of Optics and Photonics
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    • v.30 no.5
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    • pp.193-196
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    • 2019
  • The design and control of thermal flow is important for the operation of high-power laser diodes (LDs). It is necessary to analyze and improve the thermal bottleneck near the active layer of an LD. As the error in prediction of the thermal resistance of an LD is large, typically due to the hyperbolic increase and saturation to linear increase of the thermal resistance as a function of thickness, it is helpful to use a simple, modified divergence model for the improvement and optimization of thermal resistance. The characteristics of LDs are described quite well, in that the values for simulated thermal resistance curves and the thermal cross section followed are almost the same as the values from the model function. Also, the thermal-cross-section curve obtained by differentiating the thermal resistance is good for identifying thermal bottlenecks intuitively, and is also fitted quite well by the model proposed for both a typical LD structure and an improved LD with thin capping and high thermal conductivity.

Evaluation of the Urban Heat Island Intensity in Seoul Predicted from KMA Local Analysis and Prediction System (기상청 국지기상예측시스템을 이용한 서울의 도시열섬강도 예측 평가)

  • Byon, Jae-Young;Hong, Seon-Ok;Park, Young-San;Kim, Yeon-Hee
    • Journal of the Korean earth science society
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    • v.42 no.2
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    • pp.135-148
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    • 2021
  • The purpose of this study was to evaluate the urban heat island (UHI) intensity and the corresponding surface temperature forecast obtained using the local data assimilation and prediction system (LDAPS) of the Korea Meteorological Administration (KMA) against the AWS observation. The observed UHI intensity in Seoul increases during spring and winter, while it decreases during summer. It is found that the diurnal variability of the UHI intensity peaks at dawn but reaches a minimum in the afternoon. The LDAPS overestimates the UHI intensity in summer but underestimates it in winter. In particular, the model tends to overestimate the UHI intensity during the daytime in summer but underestimate it during the nighttime in winter. Moreover, surface temperature errors decrease in summer but increase in winter. The underestimation of the winter UHI intensity appears to be associated with weak forecasting of urban temperature in winter. However, the overestimated summer UHI intensity results from the underestimation of the suburban temperature forecast in summer. In order to improve the predictability of the UHI intensity, an urban canopy model (MORUSES) that considers urban effects was combined with LDAPS and used for simulation for the summer of 2017. The surface temperature forecast for the city was improved significantly by adopting MORUSES, and there were remarkable improvements in urban surface temperature morning forecasts. The urban canopy model produced an improvement effect that weakened the intensity of the UHI, which showed an overestimation during summer.

A Freight Company Management Model based on Perception Difference between Freight Company and Consigned Vehicle Owners (화물자동차 회사와 위수탁차주의 인식차이에 기반한 화물자동차 운송회사 경영모델)

  • Park, Doo-Jin;Kim, Jung-Yee
    • Journal of Korea Port Economic Association
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    • v.39 no.3
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    • pp.91-105
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    • 2023
  • This paper identified the difference in perception of the consignment system between the freight company and the consigned vehicle owners, derived factors that urgently need to improve the difference in perception, and presented the basis for establishing a management model based on this. A management model based on the difference in perception of consigned borrowers was established, and research hypotheses were established to conduct reliability, validity, and confirmatory factor analysis, path analysis, and mediation effect verification. As a result of the analysis, out of 58 questions, 56 of the total 65 questions showed a difference in perception of the consignment system between trucking companies and consigned vehicle owners, and the questions were input as management model factors. As a result of conducting confirmatory factor analysis, path analysis, and mediating effect verification using only recognition data, 5 hypotheses were adopted, and it was analyzed that the factor had no mediating effect. It can be analyzed that the appropriateness of the compensation system affects the improvement of each other's relationship, and the improvement of each other's relationship leads to the improvement of transportation services. However, since the mediating effect was rejected because it was not significant, this effect should not be exaggerated.

Rifle performance improvement cost estimation through Relation between the accuracy and Engagement results Using the Engagement class simulation model (명중률과 교전결과의 상관관계분석을 통한 개인화기 성능개선비용 추정 : 교전급 분석모델을 중심으로)

  • TaeKyeom Kim
    • The Journal of the Convergence on Culture Technology
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    • v.10 no.1
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    • pp.289-295
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    • 2024
  • This study analyzes the correlation between the accracy of rifle and the result of engagement. And estimates the improvement cost of the rifle accordingly. For this experiment, an engagement class simulation model(AWAM: Army Weapon Effectiveness Analysis Model) was used. We also selected the rifle, which is a portable weapon for the experiment. Prior to this experiment, we conducted a reliability test(VV&A: Verification, Validation and Accreditation) on the model. The VV&A process is mainly done during the development of the DM&S model, which is also necessary for the operation of the M&S. We confirmed the need for VV&A during the experiment and obtained reliable experimental results using the corrected values. In the Accuracy Experiment we found that the 20% improvement is the most effective. And we were able to estimate the cost of acquiring a rifle with a 20% higher accuracy. The cost was estimated by simple regression analysis based on the price of the current rifle. Through this study, we could know the impact of the accuracy of rifle on the experimental results and estimate the cost of improved rifle.

Pomegranate Extract Improves Menopausal Syndrome in Ovariectomized Rats (난소 적출 동물모델에서 고흥산 석류 농축액의 갱년기 증상 개선 효과)

  • Wee, Ji-Hyang;Jung, Hyun Jung;Jung, Kyung Ok;Sung, Hea Mi;Shin, Yu-Rim;Park, Ju-Hyun;Seo, Hyeon-Young;Lim, Jung-Min;Chae, Han-Jeong;Lee, Ki Yung
    • Journal of the Korean Society of Food Science and Nutrition
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    • v.44 no.4
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    • pp.506-515
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    • 2015
  • In this study, the effect of Goheung pomegranate extract on postmenopausal syndrome was evaluated both in vitro and in vivo in ovariectomized Sprague-Dawly (SD) rats. Sixty female SD rats were divided into six groups: sham, sham operation and distilled water; OVX, ovariectomized and distilled water; PE1, ovariectomized and pomegranate concentrate (0.75 mL/twice/d); PE2, ovariectomized and pomegranate concentrate (1.5 mL/twice/d); PE3, ovariectomized and pomegranate concentrate (2.2 mL/twice/d); and CE, ovariectomized and commercial pomegranate concentrate (2.2 mL/twice/d). Percent bone volume (bone volume/tissue volume) and trabecular thickness (Tb.Th) improved in a dose-independent manner in PE1, 2, and 3. Especially, bone mineral density was significantly improved in PE3 (P<0.05) compared to OVX. Pomegranate extract reduced body weight and visceral fat mass. High density lipoprotein cholesterol (HDL-C) level slightly increased in a dose-independent manner in the experimental group. In addition, HDL-C/total cholesterol level of PE3 significantly increased (P<0.05) compared with OVX. These results show that pomegranate concentrate improved blood lipid levels and bone metabolism in ovariectomized rats. Therefore, Goheung pomegranate concentrates are expected to improve cardiovascular and bone-related diseases in menopausal women.

Improvement on the Method of Estimating Radionuclide Concentrations in Agricultural Products for the Off-Site Internal Dose Calculation for Operating Nuclear Facilities (가동중 원자력 시설 주변 주민의 내부피폭선량 계산을 위한 농산물내 핵종 농도 평가법 개선)

  • Choi, Y.H.;Lim, K.M.;Hwang, W.T.;Choi, G.S.;Choi, H.J.;Lee, C.W.
    • Journal of Radiation Protection and Research
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    • v.29 no.2
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    • pp.73-90
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    • 2004
  • The Reg. Guide 1.109 model was reviewed against its applicability to calculating radionuclide concentrations in agricultural products for operating nuclear facilities and an improved method was proposed. The model was so modified that the radionuclides deposited since the start of operation could be considered in assessing the root uptake. Translocation factors were introduced in the equation for calculating the concentrations in edible parts due to direct plant deposition. Values specific to Korea were set up for the input parameters of the modified model. The concentrations of $^{54}Mn,\;^{60}Co,\;^{90}Sr\;and\;^{137}Cs$ in rice seeds, Chinese cabbage and radish root were calculated for various hypothetical deposition histories using the Reg. Guide 1.109 model and the modified model with parameter values in the guide and those specific to Korea put in alternately. Through comparisons among the results, it could be expected that the use of the modified model with the input of parameter values specific to Korea would result In a more resonable and realistic assessment.

Generation of 3D City Models Multi-Sensors (다중센서를 이용한 3차원 도시모델의 구축)

  • Choi Kyoung-Ah;Kang Moon-Kwon;Kim Sung-Joon;Lee Im-Pyeong
    • Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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    • 2006.05a
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    • pp.106-111
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    • 2006
  • 텔레메틱스, 위치정보서비스, 유비쿼터스 등의 발전과 더불어 3차원 GIS의 활용은 급격히 증가할 것으로 기대된다. 특히 도시모델은 이러한 3D GIS의 근간을 이루며, 이에 도시모델의 획득과 지속적인 수정에 대한 수요 증가도 필연적이다. 따라서 본 연구에서는 기존의 도시모델 구축방법과 달리 보다 효율적이고 정밀한 도시모델을 구축하는 방법을 제시하고 실험적으로 검증하고자 하였다. 제시된 방법은 항공사진과 라이다데이터를 이용하여 지표면모델을 생성하고, 지상사진을 이용하여 건물의 정교한 3차원 모델을 생성하는 것을 핵심으로 한다. 서울시립대학교를 실험대상지역으로 선택하여 전체 23개의 건물을 포함하는 27만 $600m^2$면적의 영역에 대한 도시모델을 구축하였다. 생성된 모델에 대한 검사를 통해 건물과 지표면의 기하학적 구조가 정확하게 재현된 것을 알 수 있었다. 그러나 건물의 외벽 texture는 영상 촬영 시 나무 등에 의해 가려지는 문제, 주변 지물들에 의한 그림자 영향 등으로 깔끔하게 처리되지 못한 것을 볼 수 있었다. 결론적으로 3차원 모델 구축에 있어 texture 추출에 대한 알고리즘 개선이 요구되었고, 건물 내부도 모델링함으로써 더욱 다양한 활용방안도 생각해야 할 것이다.

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Efficient Counterexample Generation for Safety Violation in Model Checking (모델 체킹에서 안전성 위반에 대한 효율적인 반례 생성)

  • Lee Tae-hoon;Kwon Gi-hwon
    • The KIPS Transactions:PartD
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    • v.12D no.1 s.97
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    • pp.81-90
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    • 2005
  • Given a model and a property, model checking determines whether the model satisfies the property. In case the model does not satisfy the property model checking gives a counterexample which explains where the violation occurs. Since counterexamples are useful for model debugging as well as model understanding, counterexample generation is one of the indispensable components in the model checking tool. This paper presents efficient counterexample generation techniques when a safety property is falsified. These techniques are used to solve Push Push games which consist of 50 games. As a result, all the games are solved with the proposed techniques. However, with the original NuSMV, 42 games are solved but 8 failed. In addition, we obtain $86{\%}$ time improvement and $62{\%}$ space improvement compared to the original NuSMV in solving the game.

A Study on Logical Data Model for National Topographic Basedata (수치지도 데이터의 논리적 모델에 관한 연구)

  • 조우석
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.16 no.1
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    • pp.139-147
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    • 1998
  • The national topographic basedata should meet a variety of user requirements. To generate, maintain and handle the national topographic basedata in economic and effective way, the nationally supported research works on data model, structure and feature classification system should be intensively undertaken by government agency, research institute and university. This paper presents the technical definitions of conceptual and logical model for proposed data model representing digital map data. The key aspects of the proposed data model are flexibility for accommodating user requirements as well as step-by-step approach for modification as necessary m recent future. Conclusively, the proposed data model is a transitional data model between simple graphical model and object oriented data model.

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In Out-of Vocabulary Rejection Algorithm by Measure of Normalized improvement using Optimization of Gaussian Model Confidence (미등록어 거절 알고리즘에서 가우시안 모델 최적화를 이용한 신뢰도 정규화 향상)

  • Ahn, Chan-Shik;Oh, Sang-Yeob
    • Journal of the Korea Society of Computer and Information
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    • v.15 no.12
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    • pp.125-132
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    • 2010
  • In vocabulary recognition has unseen tri-phone appeared when recognition training. This system has not been created beginning estimation figure of model parameter. It's bad points could not be created that model for phoneme data. Therefore it's could not be secured accuracy of Gaussian model. To improve suggested Gaussian model to optimized method of model parameter using probability distribution. To improved of confidence that Gaussian model to optimized of probability distribution to offer by accuracy and to support searching of phoneme data. This paper suggested system performance comparison as a result of recognition improve represent 1.7% by out-of vocabulary rejection algorithm using normalization confidence.