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윤문길,김후곤,윤덕영 한국항공대학교 경영연구소 2002 경영연구 Vol.9 No.1
The concept of revenue management have been used mainly in the service-industries like hotel and air transportation which handles perishable asset. Recently however, it is being increasingly applied to many other areas including travel, railway and medicine. This paper tries to introduce the concept into the internet business. Revenue management used in the service industry is a good system for the management of perishable asset. Internet business can be classified acr various industries according to the characteristics of the individual companies. Contents providers and internet service providers are very similar to service industry, and revenue management system is suitable to them. This paper develops the ways to apply the revenue management concept to ISP business.
항공사 e-비즈니스를 위한 컴퓨터 예약시스템과 수익경영 시스템의 역할과 연계방안 : K항공사 사례를 중심으로 the case of K-Airline
이휘영,윤덕영,윤문길 한국경영과학회 2004 經營 科學 Vol.21 No.3
CRS, which was initially developed to support airline reservation is now the main part of e-business of airlines, and it decides the degree of prompt and accurate itinerary for travelers due to the remarkable difference in availability inquiry and seats reservation information according to CRS joining level CRS joining level also decides the exactness of reservation, ticketing and traffic data collection and plays the most important role in the exactness of advanced forecast of demand, appropriate seats allocation, and overbooking. Therefore, it provides front end function like seats reservation, schedule display, fare inquiry on-line linked with CRS and back office function like sales result of travel agents, accounting administration, stock administration and customer administration and decides the level of an airline's e-business.
김진호,문준성,문선중,이지은,최재원,은미정,천경아,조인호,윤지성,원규장,이경희 신덕섭,이형우 영남대학교 의과대학 2005 Yeungnam University Journal of Medicine Vol.22 No.2
Central diabetes insipidus (DI) is a syndrome characterized by thirst, polydipsia and polyuria. Langerhans cell histiocytosis is one of the etiologies of DI. Recently we experienced a central DI associated with Langerhans cell histiocytosis. The 44 years old female patient complained right hip pain polydipsia and polyuria. We carried out water deprivation test. After vasopressin injection, urine osmotic pressure was increased form 109mOsmol/Kg to 327mOsmol/Kg (300%). Brain MRI showed a thickened pituitary stalk and at hot bone CT.CT guided biopsy revealed abnormal histiocytes proliferation and abundant lymphocytes, The final diagnosis was central DI associated with systemic Langerhans cell histiocytosis invading hip bone, L-spine and pituitary stalk. Desmopressin and etoposide chemotherapy were performed to the patient.
Hub-Spoke Network Design Model with hop-count constraint for Air-cargo Systems
윤문길(Moon-Gil Yoon),윤덕영(Duk Young Yoon) 한국경영과학회 2002 한국경영과학회 학술대회논문집 Vol.2002-A No.-
In this paper, we address a hub-spoke network design problem for air-cargo systems To build such a network, three lands of network costs should be considered fixed cost for establishing a hub, fixed cost for operating air-cargo on each route and variable cost occurring on each route With these lands of costs, we develop an optimization model for design a hub-spoke network in air-cargo systems including the hop-count constrain being used effectively to deliver freights Some computational results are given by using CPLEX program.
감성 분석을 위한 어휘 통합 합성곱 신경망에 관한 연구
윤주성 ( Joo-sung Yoon ),김현철 ( Hyeon-cheol Kim ) 한국정보처리학회 2017 한국정보처리학회 학술대회논문집 Vol.24 No.1
최근 딥러닝의 발달로 인해 Sentiment analysis분야에서도 다양한 기법들이 적용되고 있다. 이미지, 음성인식 분야에서 높은 성능을 보여주었던 Convolutional Neural Networks (CNN)은 최근 자연어처리 분야에서도 활발하게 연구가 진행되고 있으며 Sentiment analysis에도 효과적인 것으로 알려져 있다. 기존의 머신러닝에서는 lexicon을 이용한 기법들이 활발하게 연구되었지만 word embedding이 등장하면서 이러한 시도가 점차 줄어들게 되었다. 그러나 lexicon은 여전히 sentiment analysis에서 유용한 정보를 제공한다. 본 연구에서는 SemEval 2017 Task4에서 제공한 Twitter dataset과 다양한 lexicon corpus를 사용하여 lexicon을 CNN과 결합하였을 때 모델의 성능이 얼마큼 향상되는지에 대하여 연구하였다. 또한 word embedding과 lexicon이 미치는 영향에 대하여 분석하였다. 모델을 평가하는 metric은 positive, negative, neutral 3가지 class에 대한 macroaveraged F1 score를 사용하였다.