• 제목/요약/키워드: belonging model

검색결과 246건 처리시간 0.033초

팀 의사결정에 대한 이원적 단계 모델 (A Dual-Level Model of Team Decision Making)

  • 강민철
    • Asia pacific journal of information systems
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    • 제14권2호
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    • pp.37-59
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    • 2004
  • Team decision making is a collective behavior that needs to be understood by considering properties belonging to team and individual member domains together. This paper introduces a conceptual model called "Dual-Level(DL)" model that describes a team decision-making process in terms of team level, member level, and the relationship between them. The team-level view explains the decision-making process by considering the team as a wholeand divides the process into three stages: Problem Conceptualization, Alternative Generation, and Selection. The member-level view describes what happens to individual members when they go through the group process and splits it into the five phases: Individual Cognitive Mapping, Problem Decomposition, Subproblem Session, Subproblem Integration, and Team Decision. The DL model works as a theoretical framework to explore team decision making by using a set of computational models of team design and team members. In practice, the conceptual framework is used to build a computational model of decision making team, called "Team-Soar."

대체 확률화응답기법 (An alternative randomized response technique)

  • 류제복
    • 응용통계연구
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    • 제6권2호
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    • pp.311-318
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    • 1993
  • 본 논문에서는 Warner의 확률응답모형 대신에 강요질문모형을 반복 사용하여 응답자들이 진실되게 응답했는가에 대한 가설점검을 하고 Warner모형을 사용한 경우와 검정력을 비교하였다. 또한 강요질문모형을 사용하여 민감한 특성을 갖는 모집단비율의 추정량을 구하고 Warner모형을 사용하여 얻은 추정량들보다 효율적이 되는 조건을 찾았다.

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충남 부여군 문화재의 산사태 민감성 평가 (Assessing the Landslide Susceptibility of Cultural Heritages of Buyeo-gun, Chungcheongnam-do)

  • 김준우;김호걸
    • 한국환경복원기술학회지
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    • 제25권5호
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    • pp.1-13
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    • 2022
  • The damages caused by landslides are increasing worldwide due to climate change. In Korea, damages from landslides occur frequently, making it necessary to develop the effective response strategies. In particular, there is a lack of countermeasures against landslides in cultural heritage areas. The purpose of this study was to spatially analyze the relationship between Buyeo-gun's cultural heritage and landslide susceptible areas in Buyeo-gun, Chungcheongnam-do, which has a long history. Nine spatial distribution models were used to evaluate the landslide susceptibility, and the ensemble method was applied to reduce the uncertainty of individual model. There were 17 cultural heritages belonging to the landslide susceptible area. As a result of calculating the area ratio of the landslide susceptible area for cultural heritages, the cultural heritages with 100% of the area included in the landslide susceptible area were "Standing statue of Maae in Hongsan Sangcheon-ri" and "Statue of King Seonjo." More than 35% of "Jeungsanseong", "Garimseong", and "Standing stone statue of Maitreya Bodhisattva in Daejosa Temple" belonged to landslide susceptible areas. In order to effectively prevent landslide damage, the application of landslide prevention measures should be prioritized according to the proportion belonging to the landslide susceptible area. Since it is very difficult to restore cultural properties once destroyed, preventive measures are required before landslide damage occurs. The approach and results of this study provide basic data and guidelines for disaster response plans to prevent landslides in Buyeo-gun.

인공신경망을 이용한 기업도산 예측 - IMF후 국내 상장회사를 중심으로 - (A Neural Network Model for Bankruptcy Prediction -Domestic KSE listed Bankrupted Companies after the foreign exchange crisis in 1997)

  • 정유석;이현수;채영일;서영호
    • 한국품질경영학회:학술대회논문집
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    • 한국품질경영학회 2004년도 품질경영모델을 통한 가치 창출
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    • pp.655-673
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    • 2004
  • This paper is concerned with analysing the bankruptcy prediction power of three models: Multivariate Discriminant Analysis(MDA ), Logit Analysis, Neural Network. The after-crisis bankrupted companies were limited to the research data and the listed companies belonging to manufacturing industry was limited to the research data so as to improve prediction accuracy and validity of the model. In order to assure meaningful bankruptcy prediction, training data and testing data were not extracted within the corresponding period. The result is that prediction accuracy of neural network model is more excellent than that of logit analysis and MDA model when considering that execution of testing data was followed by execution of training data.

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ENERGY ON A PARTICLE IN DYNAMICAL AND ELECTRODYNAMICAL FORCE FIELDS IN LIE GROUPS

  • Korpinar, Talat;Demirkol, Ridvan Cem
    • 호남수학학술지
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    • 제40권2호
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    • pp.265-280
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    • 2018
  • In this study, we firstly define equations of motion based on the traditional model Newtonian mechanics in terms of the Frenet frame adapted to the trajectory of the moving particle in Lie groups. Then, we compute energy on the moving particle in resultant force field by using geometrical description of the curvature and torsion of the trajectory belonging to the particle. We also investigate the relation between energy on the moving particle in different force fields and energy on the particle in Frenet vector fields.

A New Class-Based Traffic Queue Management Algorithm in the Internet

  • Zhu, Ye
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제3권6호
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    • pp.575-596
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    • 2009
  • Facing limited network resources such as bandwidth and processing capability, the Internet will have congestion from time to time. In this paper, we propose a scheme to maximize the total utility offered by the network to the end user during congested times. We believe the only way to achieve our goal is to make the scheme application-aware, that is, to take advantage of the characteristics of the application. To make our scheme scalable, it is designed to be class-based. Traffic from applications with similar characteristics is classified into the same class. We adopted the RED queue management mechanism to adaptively control the traffic belonging to the same class. To achieve the optimal utility, the traffic belonging to different classes should be controlled differently. By adjusting link bandwidth assignments of different classes, the scheme can achieve the goal and adapt to the changes of dynamical incoming traffic. We use the control theoretical approach to analyze our scheme. In this paper, we focus on optimizing the control on two types of traffic flows: TCP and Simple UDP (SUDP, modeling audio or video applications based on UDP). We derive the differential equations to model the dynamics of SUDP traffic flows and drive stability conditions for the system with both SUDP and TCP traffic flows. In our study, we also find analytical results on the TCP traffic stable point are not accurate, so we derived new formulas on the TCP traffic stable point. We verified the proposed scheme with extensive NS2 simulations.

아파트 단지 경로당의 공간 특성과 사회적 기능 (The Relationship of Spatial Characteristics and Social Functions of Elderly Center in Apartment Complex)

  • 양세화;류현주
    • 한국주거학회논문집
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    • 제26권1호
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    • pp.11-18
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    • 2015
  • The purpose of this research is to analyze the relationships between spatial characteristics and social functions of elderly center in apartment complex. The data for the analysis were collected from July 3 to 13, 2012 in Ulsan by interviewing 177 elderly persons from 56 elderly centers in apartment complex, and were analyzed with descriptive statistics, analysis of variance, and multiple regression analysis. The eleven questions for social functions of elderly center were developed by the researchers based on the related literatures and were categorized into four factors including kinship, social interaction, leisure activity, and community belonging. The social functions of elderly center were found to be evaluated moderately appropriate except for the community belonging. The results of the multiple regression analysis of total social functions of elderly center provide strong support for the model. Five variables (one-person household, health condition, location of the center, floor plan of the center, and user organization) are shown to be significantly related to total social functions of the elderly center.

III, IV족 불순물이 첨가된 ZnO의 전자상태계산 (Calculation on Electronic Structure of ZnO with Impurities Belonging to III and IV Family)

  • 이동윤;김현주;구보근;이원재;송재성
    • 한국전기전자재료학회:학술대회논문집
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    • 한국전기전자재료학회 2004년도 하계학술대회 논문집 Vol.5 No.1
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    • pp.309-312
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    • 2004
  • The electronic structure of ZnO oxide semiconductor having high optical transparency and good electric conductivity was theoretically investigated by $DV-X_{\alpha}$(the discrete variation $X_{\alpha}$) method, which is a sort of the first principle molecular orbital method using Hatre-Fock-Slater approximation. The electrical and optical properties of ZnO are seriously affected by the addition of impurities. The imnurities are added to ZnO in order to increase the electric conductivity of an electrode without losing optical transparency. In this study, the effect of impurities of III and IV family on the band structure, impurity levels and the density of state of ZnO were investigated. The cluster model used for calculations was $[MZn_{50}O_{53}]^{-2}$(M=elements belonging to III and IV family).

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A Semi-supervised Learning of HMM to Build a POS Tagger for a Low Resourced Language

  • Pattnaik, Sagarika;Nayak, Ajit Kumar;Patnaik, Srikanta
    • Journal of information and communication convergence engineering
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    • 제18권4호
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    • pp.207-215
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    • 2020
  • Part of speech (POS) tagging is an indispensable part of major NLP models. Its progress can be perceived on number of languages around the globe especially with respect to European languages. But considering Indian Languages, it has not got a major breakthrough due lack of supporting tools and resources. Particularly for Odia language it has not marked its dominancy yet. With a motive to make the language Odia fit into different NLP operations, this paper makes an attempt to develop a POS tagger for the said language on a HMM (Hidden Markov Model) platform. The tagger judiciously considers bigram HMM with dynamic Viterbi algorithm to give an output annotated text with maximum accuracy. The model is experimented on a corpus belonging to tourism domain accounting to a size of approximately 0.2 million tokens. With the proportion of training and testing as 3:1, the proposed model exhibits satisfactory result irrespective of limited training size.

소셜게임의 사회적 기능 향상에 관한 개발 모델 제안 (Study on the Development Model and Improvement of Social Function of Social Games)

  • 김태규
    • 디지털융복합연구
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    • 제13권1호
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    • pp.449-454
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    • 2015
  • 본 연구는 소셜게임의 사회적 기능과 개발모델에 관한 선행요인과 결과요인 및 개발 모델을 제안 분석하는 것을 목적으로 한다. 따라서 본 연구는 소셜게임 사회적 기능에 영향을 미칠 수 있는 선행변수들을 관련이론 분석과 선행연구를 통해 살펴보고, 소셜게임의 사회적 기능 개발 모델을 제시하고 분석하였다. 소셜게임의 사회적 기능 모델을 정서적 유대감, 개방적커뮤니케이션, 공동체감, 상호작용 집중에서 설명되는 항목들을 구체화하여 사회적 기능 향상 척도를 도출하였고, 다양한 소셜네트워크서비스 및 소셜게임 관련이론을 바탕으로 소셜게임 사회적 기능향상 요소를 입증하여 소셜게임 개발 모델를 제시하였다.