• Title/Summary/Keyword: 이항모델

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Intergenerational Cleavage and Intergenerational Solidarity - Differential Effects on Political Arena and Social Policy Realm - (세대균열과 세대연대 - 정치 영역과 사회정책 영역에서의 차별적 작용에 관한 연구 -)

  • Seong, Kyoungryung
    • Korean Journal of Social Welfare
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    • v.67 no.4
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    • pp.5-29
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    • 2015
  • Intergenerational relations in Korea show very unique characteristics. In political arena, young and old generations clash each other intensely, while they maintain a high level of intergenerational solidarity in policy realm. A logistic regression analysis reveals that generational cleavage plays a key role in affecting voting decision and evaluation of governmental performance. It also suggests that in policy realm, normative, functional, and affectional types of solidarity influence people's attitudes on social policies very strongly. If the current government continues to neglect its promises for expanding welfare, the dual structure of generational cleavage in political arena and intergenerational solidarity in social policy realm can soon be turned into a conflictual structure. Therefore, an active initiative to increase intergenerational justice should be taken in order to attain a long-term, sustainable intergenerational solidarity and coexistence.

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Variable Vocabulary Word Recognizer using Phonetic Knowledge-based Allophone Model (음성학적 지식 기반 변이음 모델을 이용한 가변 어휘 단어 인식기)

  • Kim, Hoi-Rin;Lee, Hang-Seop
    • The Journal of the Acoustical Society of Korea
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    • v.16 no.2
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    • pp.31-35
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    • 1997
  • In this paper, we propose a variable vocabulary word recognizer that is able to recognize new words not exist in training data. For the variable vocabulary word recognizer, we must have an on-line lexicon generator to transform new candidate words to the corresponding pronunciation sequences of phones without any large lexicon table. And, we also must make outputs. In order to model the phones and allophones reliably, we define Korean allophones by triphone clustering based on phonetic knowledge of preceding and succeeding phones of each phone. Using the clustering method, we generated 1,548 allophones with POW (Phonetically Optimized Words) 3,848 word DB. We evaluated the proposed word recognizer with POW 3,848 DB, PBW (Phonetically Balanced Words) 445 DB, and 244 word DB in hotel reservation task. Experimental results showed word recognition accuracy of 79.6% for the POW DB corresponding to vocabulary-dependent case, 79.4% in case of 445 word lexicon and 88.9% in case of 100 word lexicon for the PBW DB, and 71.4% for the hotel reservation DB corresponding to vocabulary-independent case.

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The Effects of Technostress from using Blockchain on the Technology Acceptance Model(TAM) (블록체인 활용에 대한 테크노스트레스가 기술수용모델(TAM)에 미치는 영향)

  • Lee, Hang;Kim, Joon-Hwan
    • Journal of Convergence for Information Technology
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    • v.9 no.8
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    • pp.27-34
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    • 2019
  • The purpose of this study is to empirically analyze the moderating effect of psychological empowerment on the relationship between technostress, the technology acceptance model, and the continuance intention of use. The results of the analyses are as follows: First, IT corporation workers' technostress had a negative effect on perceived ease of use and perceived usefulness. Second, psychological empowerment was found to regulate the relationship between technostress and the technology acceptance model. Third, the perceived ease of use of IT corporation workers had a significant positive effect on the continuance intention of use, and the perceived usefulness had a positive effect on the continuance intention of use. These findings imply that training and education should be continuously conducted to improve psychological empowerment as well as manage technostress.

Establishing a Demand Forecast Model for Container Inventory in Liner Shipping Companies (정기선사의 컨테이너 재고 수요예측모델 구축에 대한 연구)

  • Jeon, Jun-woo;Jung, Kil-su;Gong, Jeong-min;Yeo, Gi-tae
    • Journal of Korea Port Economic Association
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    • v.32 no.4
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    • pp.1-13
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    • 2016
  • This study attempts to establish a precise forecast model for the container inventory demand of shipping companies through forecasts based on equipment type/size, ports, and weekly system dynamics. The forecast subjects were Shanghai and Yantian Ports. Only dry containers (20, 40) and high cubes (40) were used as the subject container inventory in this study due to their large demand and valid data computation. The simulation period was from 2011 to 2017 and weekly data were used, applying the actual data frequency among shipping companies. The results of the model accuracy test obtained through an application of Mean Absolute Percentage Error (MAPE) verified that the forecast model for dry 40' demand, dry 40' high cube demand, dry 20' supply, dry 40' supply, and dry 40' high cube supply in Shanghai Port provided an accurate prediction, with $0%{\leq}MAPE{\leq}10%$. The forecast model for supply and demand in Shanghai Port was otherwise verified to have relatively high prediction power, with $10%{\leq}MAPE{\leq}20%$. The forecast model for dry 40' high cube demand and dry 20' supply in Yantian Port was accurate, with $0%{\leq}MAPE{\leq}10%$. The forecast model for supply and demand in Yantian Port was generally verified to have relatively high prediction power, with $10%{\leq}MAPE{\leq}20%$. The forecast model in this study also had relatively high accuracy when compared with the actueal data managed in shipping companies.

Feasibility Study on Remodeling Project By Using Real Option Model : Focusing on Apartment House Remodeling (실물옵션을 활용한 공동주택 리모델링 사업성 평가에 관한 연구 - 아파트 리모델링 사례를 중심으로 -)

  • Yeon, JungHoon;Lee, Hyun-Soo;Park, Moonseo;Kim, Sooyoung;Ahn, Joseph
    • Korean Journal of Construction Engineering and Management
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    • v.15 no.1
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    • pp.39-50
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    • 2014
  • After the global financial crisis, domestic construction industry has gone through a rapid recession. This resulted in gradual market shift towards architectural remodeling. Architectural remodeling not only improves residential environment but it has many advantages such as increase of each unit's exclusive area, free space within the horizontal or extension of an annex building, and increase number of household through splitting the household of bigger pyeong, etc. However, in case of the Korean market for apartment remodeling, due to various regulations and problem with business promotion procedures, majority of business is slow despite the figure that remodeling volume is not that small. Also, feasibility study which decides to push ahead public house remodeling business will have a flaw using net present value's law; it has a flaw of not considering properties of each phase of remodeling business and future's uncertainty. Hence, this research will improve the problem of traditional value assessment method of net present value's law. It will also consider one of the real options such as binomial model in order to supplement NPV which is used in current feasibility study. This research was based on real successful cases of public house remodeling and it was possible for feasibility study which was more realistic and valid. This research provided foundation for development of Korean public house remodeling market. There is high anticipation of increasing the validity by improving the problems of current feasibility study and economic efficiency assessment.

Core Demand Market by Visitor's Characteristics of Mountain Types of a National Park -focused on Demographic and Social Economical Factors- (국립공원 방문객 특성을 이용한 핵심수요시장연구 -인구통계학적 변인과 사회경제학적 변인을 중심으로-)

  • Gwak, Gang-Hee
    • The Journal of the Korea Contents Association
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    • v.13 no.7
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    • pp.361-368
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    • 2013
  • This research aims to offer the information required for demand increase on marketing strategy level by investigating Mudeungsan visitors' demographic characteristics and social economical variables. To accomplish this study, the proper analyzing model needs to be applied because a grave error of parameters will be led if regression model appropriate for analyzing the data of a continuous probability variable is applied, in case that dependent variable is a discrete random variable which have a discrete probability distribution. Therefore data analysis was performed with Poisson model. However, as the data was showing an overdispersion, parameter was estimated with the Binomial Poisson model able to cover the problem. As a result, some explanatory variables turned out to be significant such as visitor's age, occupation, preferred season to visit, type of company, five days working, and preferring type of tourism. Author could offer to the national park the information about characteristics of core market revealed and marketing strategy for it, based on those influential variables.

Dynamical Predictions of the Structural Connection by the Reduced Approach (축약법에 의한 구조물 결합부의 동적 거동 예측)

  • Yun, Seong-Ho
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.27 no.6
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    • pp.589-596
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    • 2014
  • Joints, fasteners or connected parts frequently have a significant effect on the dynamical behavior of assembled mechanical structures. Therefore, the analytical prediction of structural responses depends on the accuracy of joint modeling. This paper deals with the formulation and analysis of dynamic mechanism for joint flexibilities whose relevant magnitudes of stiffnesses are investigated by using linear and torsional springs. The equation of motion is derived by using a generic joint in the middle of clamped-clamped beam. A reanalysis due to changes in magnitudes of joint stiffnesses is based on the reduced analysis where the binomial series terms are used as basis vectors. The solution procedures are straightforward and the method can be readily used with a general finite element method. The computational effort needed by this approach is usually much smaller than the effort needed for complete vibration analysis. Two numerical examples show that accurate results are obtained efficiently by reducing the number of degree in the reduced model.

Development and implementation of statistical prediction procedure for field penetration index using ridge regression with best subset selection (최상부분집합이 고려된 능형회귀를 적용한 현장관입지수에 대한 통계적 예측기법 개발 및 적용)

  • Lee, Hang-Lo;Song, Ki-Il;Kim, Kyoung Yul
    • Journal of Korean Tunnelling and Underground Space Association
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    • v.19 no.6
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    • pp.857-870
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    • 2017
  • The use of shield TBM is gradually increasing due to the urbanization of social infrastructures. Reliable estimation of advance rate is very important for accurate construction period and cost. For this purpose, it is required to develop the prediction model of advance rate that can consider the ground properties reasonably. Based on the database collected from field, statistical prediction procedure for field penetration index (FPI) was modularized in this study to calculate penetration rate of shield TBM. As output parameter, FPI was selected and various systems were included in this module such as, procedure of eliminating abnormal dataset, preprocessing of dataset and ridge regression with best subset selection. And it was finally validated by using field dataset.

Analytic study on Rhizome by Gilles Deleuze : Focusing on the Film (들뢰즈의 리좀 모델 분석 : 영화 <엘리펀트>를 중심으로)

  • Lim, Taewoo
    • The Journal of the Korea Contents Association
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    • v.14 no.1
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    • pp.66-75
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    • 2014
  • The purpose of this study is to analyze and illustrate 'Rhizome', a postmodern speculation system based on de-subjectivity and decentralization, presented by Gilles Deleuze. He borrowed the word rhizome, an originally botanical term meaning a horizontal stem under the surface of the earth, to counteract the dominating system grounded on binary, root-tree structure. The study then criticizes the early movements of de-subjectivity with molecular-biological and evolutionary evidences, and proves that these evidences can only be characterized by chance and nomadism, which are the key elements that constitute Rhizome. As a practical example of Rhizome, the study analyzes the film by Gus Van Sant, and demonstrates that both his various cinematic experiments and the result bear the same characteristics as Rhizome.

Dynamic Valuation of the G7-HSR350X Using Real Option Model (실물옵션을 활용한 G7 한국형고속전철의 다이나믹 가치평가)

  • Kim, Sung-Min;Kwon, Yong-Jang
    • Journal of the Korean Society for Railway
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    • v.10 no.2 s.39
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    • pp.137-145
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    • 2007
  • In traditional financial theory, the discount cash flow model(DCF or NPV) operates as the basic framework for most analyses. In doing valuation analysis, the conventional view is that the net present value(NPV) of a project is the measure of the present value of expected net cash flows. Thus, investing in a positive(negative) NPV project will increase(decrease) firm value. Recently, this framework has come under some fire for failing to consider the options of the managerial flexibilities. Real option valuation(ROV) considers the managerial flexibility to make ongoing decisions regarding the implementation of investment projects and the deployment of real assets. The appeal of the framework is natural given the high degree of uncertainty that firms face in their technology investment decisions. This paper suggests an algorithm for estimating volatility of logarithmic cash flow returns of real assets based on the Black-Sholes option pricing model, the binomial option pricing model, and the Monte Carlo simulation. This paper uses those models to obtain point estimates of real option value with the G7- HSR350X(high-speed train).