• Title/Summary/Keyword: 수상모형

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An Empirical Model for the Prediction of the Onset of Upward-Movement of Overwintered Caccopsylla pyricola (Homoptera: Psyllidae) in Pear Orchards (배과원에서 꼬마배나무이 월동성충의 수상 이동시기 예측 모형)

  • Kim, Dong-Soon;Yang, Chang-Yeol;Jeon, Heung-Yong
    • Korean Journal of Agricultural and Forest Meteorology
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    • v.9 no.4
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    • pp.228-233
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    • 2007
  • Pear psylla, Caccopsylla pyricola (Homoptera: Psyllidae), is a serious insect pest in pear orchards. C. pyricola overwinters as adults under rough bark scales of pear trees. When the weather warms up in the spring, the overwintered adults become active, climb up to the tree branches, and inhabit on fruit twigs to lay eggs. This study was conducted to develop a forecasting model for the onset of upward-movement of overwintered C. pyricola adults to control them by timely spraying of petroleum oil. The adult population densities were observed under rough barks (B) and on fruit twigs (T) of pear trees. Relative upward-movement rates (R) were calculated as T/(B+T). Low threshold temperatures for the activation of overwintered C. pyricola adults were selected arbitrarily from 5 to $9^{\circ}C$ at a $1^{\circ}C$ interval. Then, the days (D) when daily maximum air temperatures were above each low threshold temperature were counted from 1 February until to the dates with R $\geq$ 0.8. The same methods were applied for the prediction of the first observation of eggs. The variation of coefficients (CV) for the mean Des were lowest with the low threshold temperature of $6^{\circ}C$. At this selected threshold temperature, the upward movement of C. pyricola adults occurred with 12 D and they started laying eggs with 25 D. In the field validation, the model outputs with the $6^{\circ}C$ threshold temperature reasonably well explained the observed data in Suwon and Cheonan in 2002. Practical usages of the model were also discussed.

Combined RP/SP Model with Latent Variables (잠재변수를 이용한 RP/SP 결합모형에 관한 연구)

  • Kim, Jin-Hui;Jeong, Jin-Hyeok;Son, Gi-Min
    • Journal of Korean Society of Transportation
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    • v.28 no.4
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    • pp.119-128
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    • 2010
  • Mode choice behavior is associated with travelers' latent behavior that is an unobservable preference to travel behavior or mode characteristics. This paper specifically addresses the problem of unobservable factors, that is latent behavior, in mode choice models. Consideration of latent behavior in mode choice models reduces the errors that come from unobservable factors. In this study, the authors defined the latent variables that mean a quantitative latent behavior factors, and developed the combined RP/SP model with latent variables using the mode choice behavior survey data. The data has traveler's revealed preference of existent modes along the Han River and stated preference of new water transit on the Han River. Also, The data has travelers' latent behavior. Latent variables were defined by factor analysis using the latent behaviour data. In conclusion, it is significant that the relationship between traveler's latent behavior and mode choice behavior. In addition, the goodness-of-fit of the mode choice models with latent variables are better than the model without latent variables.

Development of a Freeway Incident Detection Model Based on Traffic Congestion Classification Scheme (교통정체상황 분류기법에 기초한 연속류 돌발상황 검지모형 개발 연구)

  • Kim, Young-Jun;Chang, Myung-Soon
    • Journal of Korean Society of Transportation
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    • v.22 no.6
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    • pp.175-196
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    • 2004
  • This study focuses on improving the performance of freeway incident detection by introducing some new measures to reduce false alarms in developing a new incident detection model. The model consists of the 5 major components through which a series of decision makings in determining the given traffic flow condition are made. The decision making process was designed such that the causes of traffic congestions can be accurately classified into several types including incidents and bottlenecks according to their unique characteristics. The model performance was tested and found to be compatible with that of the existing well-recognized models in terms of the detection rate and detection time. It should noted that the model produced much less false alarms than most of the existing models. The study results prove that the initial objective of the study was satisfied as it was an experimental trial to improve the false alarm rate for the incident detection model to be more pactically usable for traffic management purposes.

An Empirical Study on the Estimation of Adequate Debt ration in Korean Shipping Industry: Focused on Water Transport (한국 해운산업의 적정부채비율 추정을 위한 실증연구: 수상운송업을 중심으로)

  • Pai, Hoo-Seok
    • Journal of Navigation and Port Research
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    • v.39 no.1
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    • pp.69-75
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    • 2015
  • The concrete purpose of this study is to suggest actually a debt ratio to optimize the capital structure providing a kind of approach to estimate the proper debt ratio with an analytical model and empirical data in Korean shipping industry. The mathematical and analytical model is started from the first equation about ROE, return of net operating income on equity, with an independent variable, debt ratio. It is constructed with several parameters, ROS(return of operating income on sales), TAT(total assets turnover), and NFCL(net finance cost to liabilities). There could not be a certain relationship between debt ratio and ROS or TAT, while some correlation or causality between debt ratio and NFCL. In other words, most of firms with high debt ratio is likely to burden higher finance cost than others with low one. In this case, there is a linearity relationship between debt ratio and NFCL, so then the second equation considering this relation could be included within the analytical approach of this paper. To be short, if the criteria of adequate debt ratio has to be defined as some level of debt ratio to optimize ROE, the ROE could be illustrated as a quadratic equation to debt ratio from two equations. Next, this research estimated those parameters' numbers through the single regression method with data over 12 years of Korean shipping industry, and identified empirically the fact that optimal debt ratio would be approximately 400%. To conclude, if that industry's sales and operating incomes are stable, the debt ratio could be accepted until twice of 200% had forced in order to guarantee its financial safety in past time.

An Optimal Path Planning for Survival Rate Maximization of Submarine (잠수함 생존율 극대화를 위한 최적 이동경로 계획)

  • Kim, Ki-Tae;Park, Se-Hoon;Cho, Sung-Jin;Jeon, Geon-Wook
    • Journal of the military operations research society of Korea
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    • v.36 no.3
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    • pp.135-145
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    • 2010
  • The submarine is very threatening and secretive weapon system that achieves missions under the sea. However, the submarine is faced with danger that can be attacked from the enemy when is detected by sensor or rose to the surface. This study will be planned optimal path to maximize the survival rate that considers submarine navigation capability in underwater and search activity of hostile warships. A mathematical programming model and a heuristic algorithm will be suggested in this study. The mathematical programming model is verified by using ILOG CPLEX. The submarine path, unit time(distance) of navigation, survival rate, and computation time is computed by using a heuristic algorithm.

Latent Class Analysis for Mode Choice Behavior (잠재계층분석에 따른 수단선택모형비교분석)

  • Bae, Yun-Gyeong;Jeong, Jin-Hyeok;Kim, Hyeong-Jin
    • Journal of Korean Society of Transportation
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    • v.28 no.3
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    • pp.99-107
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    • 2010
  • Analyzing mode choice among transportation demand estimate procedures is complicated and understanding characteristics of travelers is also difficult. Generally, it is well known that traveler choose mode considering psychometric factors and characteristic besides socio-demographic indicators. Accordingly, many researches has investigated on methodology that can be applied in mode choice to reflect psychometric factor or specific preference. Latent Class Analysis among various studies is recognized as the theoretically potential approach. This study focuses on class segmented using latent class cluster to analyze impact that included psychometric factors and characteristics on mode choice. It also provides evidence that mode choice model for each class and mode choice model not considering latent class are different. This study based on citizen's stated preference and revealed preference on a new transit on the Han river shows that latent class cluster analysis is the potential approach considering latent preference.

플로팅 건축물 창호의 개방감 평가를 위한 사례 연구

  • Kim, Ik-Hyeon;Do, Geun-Yeong
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2013.10a
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    • pp.283-284
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    • 2013
  • 플로팅 건축물은 일반 건축물과 달리 광활한 수상에 위치하며 따라서 개구부를 통해 보이는 조망에 의해 재실자의 거주 만족도를 크게 높일 수 있다. 그러나 바다라는 특수한 환경에 노출되어 있기 때문에 육상에 비해 외부 기후환경에 많은 영향을 받으며 특히 창호 등의 외장재는 비교적 높은 열관류율과 낮은 강도로 인해 무분별한 확장을 실행할 경우 실내 냉 난방에너지 소비가 증대와 태풍 및 월파 등으로 인한 인명 재산 피해를 초래할 수 있다. 본 논문에서는 플로팅 건축물에서 대부분의 재실자가 충분한 만족을 느낄 수 있는 창호 크기의 범위를 알아내기 위해서 일반 건축물의 조망 및 실내 개방감 평가에 관련된 국내외 연구의 사례를 조사하고 플로팅 건축물에서의 적용 방안에 대해 연구하였으며 그 결과 인체의 시야각을 이용해 내부 공간에서의 개방감을 측정하는 방법과 실물 축소모형을 이용해 개방감을 측정하는 방법을 제시하였다.

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Prediction of Maneuverability of a Submarine at Surface Condition by Captive Model Test (구속모형시험을 통한 잠수함 선형의 수상 조건 조종성능 추정 연구)

  • Chang-Seop, Kwon;Dong-Jin, Kim;Young-Yeon, Lee;Yeon-Gyu, Kim;Kunhang, Yun;Sungrok, Cho
    • Journal of the Society of Naval Architects of Korea
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    • v.59 no.6
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    • pp.423-431
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    • 2022
  • In this paper, the results of Planar Motion Mechanism (PMM) test for a 1/15 scaled model of the MARIN Joubert BB2 submarine is dealt with to derive the maneuvering coefficients for surface condition. For the depth of surface navigation, the top of the sail was exposed 0.46 m above the water surface in the model scale, and it corresponds to 6.9 m in the full scale. The resistance and self-propulsion tests were conducted, and the model's self-propulsion point was obtained for 1.328 m/s, which corresponded to 10 knots in the full scale. The maneuvering tests were performed at the model's self-propulsion point, and the maneuvering coefficients were obtained. Based on the maneuvering coefficients, a turning simulation was performed for starboard 30 degree of stern fins. The straight-line stability and control effectiveness in the horizontal plane were analyzed using the maneuvering coefficients and compared with the appropriate range. For the analysis of the neutral fin angle of the X-type stern fin, the stern fin test with drift angles was carried out. As a result, the flow straightening effect at lower and upper parts of the stern fin was discussed.

A Study on the Determinants of "Decent Work" in the Logistics Industry : Focusing on the comparison with whole industries (물류산업의 "괜찮은 일자리(Decent Work)" 결정요인에 관한 연구 : 전체산업 모형과의 비교를 중심으로)

  • So, Ae-Rim;Shin, Seung-Sik
    • Journal of Korea Port Economic Association
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    • v.38 no.4
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    • pp.139-169
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    • 2022
  • This study derived determinants of 'Decent Work' in the logistics industry and aims to use the analysis results as basic data for policymaking related to labor in the logistics industry and to prepare policies suitable for the characteristics of the logistics industry. As the dependent variable of the model, the Decent Job derived from the first study was used, and the target model was derived from panel data of whole industries to understand the unique characteristics of logistics industry jobs and applied to the logistics industry model. This study found that in the logistics industry, developing the expertise of the logistics industry through "vocational training" compared to whole industries is an important factor rather than raising the "academic level" through the regular curriculum. This seems to reflect the characteristics of the logistics industry as specialized vocational training is required in the case of "railway transportation", "inland water and port transportation", and "air cargo transportation", which have a high proportion of decent job workers among the detailed logistics industries analyzed in this study. Therefore, developing job expertise through additional manpower training programs such as vocational training as well as academic fields learned through regular curriculum is a very important factor in engaging in "Decent Work" not only in the logistics industry but also in other industries.

A Study on the Service and Performance factors of Public EA (공공부문 EA 서비스요인과 성과에 관한 연구)

  • Shin, Daul;Park, Joo-Seok;Park, JaeHong
    • Journal of Information Technology and Architecture
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    • v.11 no.4
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    • pp.409-426
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    • 2014
  • Korea has won 3 times in a row in the evaluation of e-government services in 2014. And the last year, the government-EA has been awarded the UN Public Service Award. Because of the development and execution of personalized integrated services based on the government-EA, Korea has won the two award from the UN. EA has been selected and proceeded as one of the 31 e-Government projects in early period, in 2005 the law which public sector must adopt the EA for efficient informatization had been enacted. Many public agencies in which actively utilized to derive such as internal and external performance through the EA. On the other hand, in the last 10 years, some public agencies have still been as recognized level of management in the EA. In this study, the main purpose is that to find out what is a major factor for successful use and result of EA, what is the EA success Model and how to examine it. To do that, this study will study the related prior research such as EA services, information systems success factors, performance measures, and develop the success model for EA and then examine the model. This study will contribute great implications in practical and theoretical in EA success model because this is the nation's first research that SERVQUAL model and the IS Success Model(DeLone & McLean 2003) has been combined and examined.