• Title/Summary/Keyword: 추천 모형

Search Result 235, Processing Time 0.031 seconds

Comparison of probability distributions to analyze the number of occurrence of torrential rainfall events (집중호우사상의 발생횟수 분석을 위한 확률분포의 비교)

  • Kim, Sang Ug;Kim, Hyeung Bae
    • Journal of Korea Water Resources Association
    • /
    • v.49 no.6
    • /
    • pp.481-493
    • /
    • 2016
  • The statistical analysis to the torrential rainfall data that is defined as a rainfall amount more than 80 mm/day is performed with Daegu and Busan rainfall data which is collected during 384 months. The number of occurrence of the torrential rainfall events can be simulated usually using Poisson distribution. However, the Poisson distribution can be frequently failed to simulate the statistical characteristics of the observed value when the observed data is zero-inflated. Therefore, in this study, Generalized Poisson distribution (GPD), Zero-Inflated Poisson distribution (ZIP), Zero-Inflated Generalized Poisson distribution (ZIGP), and Bayesian ZIGP model were used to resolve the zero-inflated problem in the torrential rainfall data. Especially, in Bayesian ZIGP model, a informative prior distribution was used to increase the accuracy of that model. Finally, it was suggested that POI and GPD model should be discouraged to fit the frequency of the torrential rainfall data. Also, Bayesian ZIGP model using informative prior provided the most accurate results. Additionally, it was recommended that ZIP model could be alternative choice on the practical aspect since the Bayesian approach of this study was considerably complex.

A Study on Discount & Capitalization Rates for Valuation of Culture Content Enterprises (문화(文化)콘텐츠기업(企業) 가치평가(價値評價)를 위한 할인율(割引率) 결정(決定)에 관한 연구(硏究) -비상장(非上場) 중소기업(中小企業)을 중심(中心)으로-)

  • Kim, In-Cheol;Ju, Hyeong-Geun
    • 한국디지털정책학회:학술대회논문집
    • /
    • 2005.06a
    • /
    • pp.179-213
    • /
    • 2005
  • 본 논문은 비상장 문화콘텐츠기업의 가치평가를 위한 할인율 결정에 있어, 한국문화콘텐츠진흥원의 $\ulcorner$CT프로젝트 투자가치 평가모형$\lrcorner$상 콘텐츠관련 항목별 평가 가중치를 비상장 중소기업에 적용하기에 적합한 것으로 미국에서 추천되고 있는 $\ulcorner$적산법1$\lrcorner$ 상의 리스크요인항목에 반영하고 수정함으로서, 문화콘텐츠사업의 특성이 감안될 수 있는 수정 모델을 제시하고자 하는 것이다. 이는 방송 및 영화용 애니메이션, 음반산업, 게임산업에 국한 된 것이나 실무상 적용이 용이하고 일반적으로 낮게 평가되는 가중평균자본비용을 보완할 수 있다는 장점이 있다.

  • PDF

고층건물의 진동제어

  • 윤정방;김상범
    • Computational Structural Engineering
    • /
    • v.7 no.1
    • /
    • pp.25-30
    • /
    • 1994
  • 본 고에서는 강한 바람이나 지진에 의한 고층 구조물의 진동을 감소시키기 위하여, 능동제어장치가 효과적으로 사용될 수 있음을 보이었다. 그러나 능동제어장치를 실제 구조물에 널리 적용하기에는 아직 많은 문제점들이 남아있다. 첫째, 효과에 비해 고가의 진동제어장치가 필요하며 유지관리에도 많은 비용이 필요하다. 또한 진동제어장치가 원활히 작동하기 위해서는 계속된 에너지의 공급이 있어야 하는데, 지진과 같은 과도한 구조물의 진동시 이를 보장할 수는 없다. 그러므로 극한상황에서는 진동을 오히려 증폭시킬 수도 있다. 둘째, Control Force의 산정시 사용되는 목적함수의 가중행렬을 결정하는 정형화된 방법이 아직 존재하지 않으며 효율적인 산정을 위해서는 많은 시행착오가 필요하다. 그밖에도 복잡한 실제 구조물의 단순한 모형화에 따라서 여러 문제점들이 발생하기 쉬우며, 실제 제어시에는 시간지연효과나 측정되지 못한 거동에 의한 문제 등이 있다. 구조물의 진동 저감방안에 대한 지금까지의 연구결과로는, 일반적인 경우에 있어서는 Base Isolator와 같이 재료의 감쇠특성을 이용하는 방법이 추천되고 있으나, 현재 내진설계된 고층건물과 같은 대형 구조물의 진동제어 등의 몇몇 경우에 있어서 능동제어의 필요성이 인정되고 있다. 좀더 안정적이고 효율적인 제어기법의 개발에 의해 많은 실제 구조물에 적용 범위를 넓힐 수 있을 것으로 기대된다.

  • PDF

Study on the Alternative of Thiessen Coefficient by One Perceptron Neuron (단층퍼셉트론을 이용한 Thiessen 계수 대안에 관한 연구)

  • Park, Sung-Chun;Kim, Yong-Gu;Jeong, Cheon-lee;Moon, Byoung-seok
    • Proceedings of the Korea Water Resources Association Conference
    • /
    • 2004.05b
    • /
    • pp.859-862
    • /
    • 2004
  • 유역평균강우량은 강우-유출모형을 통하여 유출량을 산정할 경우에 사용되며, 산정 방법에는 산술평균법, Thiessen 가중법, 등우선법 등이 있으나 일반적으로 Thiessen 가중법을 많이 적용하고 있다. Thiessen 가중법의 유역평균 강우량 산정방법은 각 관측소가 지배하는 면적(지배면적)을 전체면적으로 나누어 가중치(Thiessen계수)를 구한 후 여기에 각 관측소의 강우량을 곱하고 이를 합산함으로써 유역평균 강우량을 산정하는 방법이다. 본 연구에서는 면적비로 구해지는 Thiessen 계수의 대안을 찾기 위해 대상 유역으로는 영산강 1지류인 지석천 유역을 선정하였고, 단층퍼셉트론을 이용하여 동면, 청풍, 능주의 강우자료를 Input, 능주지점의 유출자료를 Output으로 상호 상관분석으로부터 한 개의 유출 사상에 대해 가장 높은 상관계수를 선택하여 Input 자료를 재구성하였다. 재구성 한 자료를 이용하여 훈련시키고 여기서 발생한 가중치를 Thiessen 계수의 대안의 값으로 추천한다.

  • PDF

Reconfiguration of Recommender System Success with DeLone and McLean's Model of IS Success (DeLone과 McLean의 정보시스템 성공 모형을 통한 추천시스템 성공 요인 재구성)

  • Kwon, Ohbyung
    • Knowledge Management Research
    • /
    • v.11 no.4
    • /
    • pp.21-39
    • /
    • 2010
  • Recommender system is a core component of e-commerce. Correspondingly, metrics to evaluate the system performance have been developed and applied. However, even though we have lots of applications that have tried to adopt recommender systems, the dearth of successfully installed recommender systems for more than a decade leads us to a skeptical thinking that current metrics do not sufficiently indicate the recommender system success in business viability point of view. Hence, the purpose of this paper is to reconfigure measures for recommender system success. Adopting DeLone and McLean's amended model of information system success as the underlying framework, content analysis with intellectual properties on recommender systems was conducted to modify the currently used metrics. Then a model of recommender system success is proposed based on the newly identified metrics are compared with traditional metrics.

  • PDF

Developing the online reviews based recommender models for multi-attributes using deep learning (딥러닝을 이용한 온라인 리뷰 기반 다속성별 추천 모형 개발)

  • Lee, Ryun-Kyoung;Chung, Namho;Hong, Taeho
    • The Journal of Information Systems
    • /
    • v.28 no.1
    • /
    • pp.97-114
    • /
    • 2019
  • Purpose The purpose of this study is to deduct the factors for explaining the economic behavior of an Internet user who provides personal information notwithstanding the concern about an invasion of privacy based on the Information Privacy Calculus Theory and Communication Privacy Management Theory. Design/methodology/approach This study made a design of the research model by integrating the factors deducted from the computation theory of information privacy with the factors deducted from the management theory of communication privacy on the basis of the Dual-Process Theory. Findings According to the empirical analysis result, this study confirmed that the Privacy Concern about forms through the Perceived Privacy Risk derived from the Disposition to value Privacy. In addition, this study confirmed that the behavior of an Internet user involved in personal information offering occurs due to the Perceived Benefits contradicting the Privacy Concern.

A Decision-support System for Care Plan in Long-term Care Insurance (의사결정나무기법을 활용한 노인장기요양보험 표준급여모형 개발)

  • Han, Eun-Jeong;Lee, Jung-Suk;Kim, Dong-Geon;Kwon, Jinhee
    • The Korean Journal of Applied Statistics
    • /
    • v.27 no.5
    • /
    • pp.667-679
    • /
    • 2014
  • National Health Insurance Service(NHIS) provide care-plans for beneficiaries in the long-term care insurance(LTCI) systems that help them use LTC services appropriately. The care-plan includes recommendations for the most adequate type of care (gold standard) for beneficiaries. This study develops a decision-support system to determine the appropriate type of care plan. To develop a model, we used a data set that well-trained assessors in the NHIS investigated as a gold standard for beneficiaries: nursing home care, home-visit care, home-visit bathing, home-visit nursing, or day and night care. The decision-support system was established through a decision-tree model, because it may be easy to explain the algorithm of a decision-support system to working groups and policy makers. Our results might be useful in evidence-based care planning in an LTCI system and contribute to the efficient use of LTC services.

The Use and Abuse of Climate Scenarios in Agriculture (농업부문 기후시나리오 활용의 주의점)

  • Kim, Jin-Hee;Yun, Jin I.
    • Korean Journal of Agricultural and Forest Meteorology
    • /
    • v.18 no.3
    • /
    • pp.170-178
    • /
    • 2016
  • It is not clear how to apply the climate scenario to assess the impact of climate change in the agricultural sector. Even if you apply the same scenario, the result can vary depending on the temporal-spatial downscaling, the post-treatment to adjust the bias of a model, and the prediction model selection (used for an impact assessment). The end user, who uses the scenario climate data, should select climate factors, a spatial extend, and a temporal range appropriate for the objectives of an analysis. It is important to draw the impact assessment results with minimum uncertainty by evaluating the suitability of the data including the reproducibility of the past climate and calculating the optimum future climate change scenario. This study introduced data processing methods for reducing the uncertainties in the process of applying the future climate change scenario to users in the agricultural sector and tried to provide basic information for appropriately using the scenario data in accordance with the study objectives.

The Correlation Analysis Between New Catchment Shape Descriptor and The Lag Time of Nash Model (신집수형상디스크립터와 Nash 모형의 지체시간 사이의 상관성 분석)

  • Kim, Joo-Cheol;Jung, Kwan-Sue;Kim, Jae-Han
    • Journal of Korea Water Resources Association
    • /
    • v.37 no.12
    • /
    • pp.1065-1074
    • /
    • 2004
  • This study aims at the introduction of new catchment shape descriptor, developed by Moussa(2003), based on equivalent ellipse and the assessment of its hydrologic applicability. Two descriptors a+b and a+b+${\varepsilon}OM$were correlated to the lag time and those were applied to the estimation of representative values of Nash model parameters. They are applied in order to examine the practicality to 3 catchments in Korea, catchments in Korea, respectively, i.e. Pyeongchanggang catchment in Han river, Bocheongcheon catchment in Geum river and Wicheon catchment in Nakdong river. As a result both of two descriptors show higher correlations to the lag lime than classical geomorphologic factors and hereby Moussa's suggestion(2003) is confirmed. For the sake of simplicity the former is recommended. Also representative IUHs derived from this study show consistent basin response characteristics. It is desirable to conduct further more case studies on many other basins.

The SMC Model: Identification of Artistically Gifted Students from Low Income Families (사회적 배려대상 예술영재 판별모형 개발)

  • Lee, Seon-Young
    • Journal of Gifted/Talented Education
    • /
    • v.22 no.1
    • /
    • pp.87-115
    • /
    • 2012
  • This study is about the development of an identification model for artistically gifted students from low income and/or multi-cultural families. Given that parental support at early ages is crucial for talent development, students from low income families are often dismissed in recognizing their artistic giftedness. Based on a comprehensive literature review and consultations with experts in art, the SMC model was developed to identify disadvantaged gifted students in the areas of music, visual arts, and ballet. The model consists of three steps of identification, such as review of documents and teacher recommendations, evaluations of artistic giftedness, and a summative evaluation, and involves multiple criteria for identifying giftedness in both domain general and domain specific arts. SMC is promising in discovering many unrecognized disadvantaged children of artistic potential, thereby using various quantitative and qualitative measures. Yet, issues of validity and reliability of SMC need to be substantiated by subsequent theoretical and empirical studies.