• Title/Summary/Keyword: 특정상호작용

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Characteristics of Social Interaction in Scientific Modeling Instruction on Combustion in Middle School (연소의 과학적 모형형성 수업에서 나타난 중학생의 사회적 상호작용 특징)

  • Park, HyunJu;Kim, HyeYeong;Jang, Shinho;Shim, Youngsook;Kim, Chan-Jong;Kim, Heui-Baik;Yoo, Junehee;Choe, Seung-Urn;Park, Kyung-Mee
    • Journal of the Korean Chemical Society
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    • v.58 no.4
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    • pp.393-405
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    • 2014
  • The purpose of this study was to investigate the characteristics of social interaction on cultural aspects, verbal interaction, and discussion maps in scientific modeling instruction on combustion in middle school. Revised-CLEQ (Cultural Learning Environment Questionnaire), verbal interaction framework, discussion maps analysis were implemented for this study. The results of study follow respectively. First, the characteristics on cultural aspects of middle school students showed cooperation rather than competition in terms of collectivism. Students' attitudes to learning science tended to depend on others' idea, and students were passive and reluctant to present their comments when they were modeling work. Second, for the characteristics of verbal interaction, they simply presented knowledge related to build a model. The response to comments and feedback was relatively few. Third, discussion maps showed a lot of interaction for reponses that was alternatively brought the concept of commenters, which students were depended on a specific one, and responses. There were not many interaction for elaboration, which were described to have new presented ideas, corrections, and reasons when they exchange their ideas. In this study the model type of interaction affecting the formation of the students understanding of and in our country, it makes a lot of social interactions as the basis for teaching system could be utilized.

Simulation Control of Simplified Fluid-Surface Model for Real-time Interaction (실시간 상호작용을 위한 간략화된 유체 표면 모델의 시뮬레이션 제어)

  • Do, Joo-Young;Kim, Eun-Ju;Ryu, Kwan-Woo
    • 한국HCI학회:학술대회논문집
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    • 2006.02a
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    • pp.1120-1125
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    • 2006
  • 자연 현상에서 나타나는 물이나 바다와 같은 유체를 3 차원으로 시뮬레이션하는데 있어서 가장 중요한 요소는 실시간에 사실적으로 실행 가능하도록하는 것이다. 유체 모델은 특정 상황에 따른 다양한 방정식과 많은 파라미터값에 의해 제어되기 때문에 시뮬레이션하는데 많은 어려움이 따른다. 또한 복잡한 물리 수식을 기반으로 하기 때문에 유체 모델을 시뮬레이션하기 위해서는 많은 수행 시간이 소요된다. 본 논문에서는 실시간 유체와 강체(rigid body) 사이의 상호작용을 표현하기 위해 간략화된 유체 표면 모델(Fluid-Surface Model)을 제안하고, 개선된 계산과정을 통해 보다 빠르게 시뮬레이션하도록 한다. 또한 본 논문에서는 유체의 표면과 강체의 상호작용을 표현하는데 있어서 유체의 항력에 의해서 강체와 충돌시 발생하는 유체 표면의 움직임을 강체 모델의 제어를 통해 나타낸다. 본 논문에서 제안하는 자연스러운 유체 표면 모델은 유체역학적 방법을 사용하여 실시간에 사실적으로 표현된다. 그리고 이러한 유체 표면 모델을 PC 환경에서 사용자와 상호작용 가능하도록 재현하여, 게임이나 애니메이션에서의 유체 모델들에도 적용할 수 있다.

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Exploration of the Gene-Gene Interactions Using the Relative Risks in Distinct Genotypes (유전자형별 상대 위험도를 이용한 유전자-유전자간 상호작용 탐색)

  • Jung, Ji-Won;Yee, Jae-Yong;Lee, Suk-Hoon;Pa, Mi-Ra
    • The Korean Journal of Applied Statistics
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    • v.24 no.5
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    • pp.861-869
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    • 2011
  • One of the main objects of recent genetic studies is to understand genetic factors that induce complex diseases. If there are interactions between loci, it is difficult to find such associations through a single-locus analysis strategy. Thus we need to consider the gene-gene interactions and/or gene-environment interactions. The MDR(multifactor dimensionality reduction) method is being used frequently; however, it is not appropriate to detect interactions caused by a small fraction of the possible genotype pairs. In this study, we propose a relative risk interaction explorer that detects interactions through the calculation of the relative risks between the control and disease groups from each genetic combinations. For illustration, we apply this method to MDR open source data. We also compare the MDR and the proposed method using the simulated data eight genetic models.

Dynamic Interaction Analysis of Train-bridge Considering Rail-wheel Contact Mechanism (윤축-레일 접촉메카니즘을 고려한 열차-교량 동적상호작용 해석)

  • Min, Dong-Ju;Kwark, Jong-Won;Kim, Moon-Young
    • Journal of the Korean Society for Railway
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    • v.18 no.4
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    • pp.363-373
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    • 2015
  • The purpose of this study is to develop a nonlinear algorithm for the dynamic interaction analysis of KTX trains and bridge girders with consideration of separation and flange contact phenomena between wheel and rail. For this, three interaction models between wheel-rail are implemented and compared through numerical examples. That is, the spring model and the non-jump model are briefly explained, and a nonlinear contact model is then proposed to accurately simulate interaction forces of the train-bridge system. Dynamic interaction analysis of a simply supported girder and trains is performed and the analyzed results are presented and compared for the proposed contact model and the other model types. Particularly, flange contact phenomena in the nonlinear contact model are demonstrated under a specific condition.

Quantum Inspired Eco-system Transformation in Augmented Reality (양자 기법 기반 증강현실 객체 간 생태계 변형)

  • Kim, Ju-Hwan;Jo, Dongsik
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2019.05a
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    • pp.573-575
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    • 2019
  • Recently, augmented reality (AR) technology has been widely used in a variety of fields such as defense, medical, education, and entertainment. In the augmented reality environment, a user can interact a virtual object by the user 's specific behaviors. Also, it is necessary to use a technique to automatically interacts among the generated virtual objects. In this paper, we propose an authoring model to apply augmented reality environments based on quantum computing inspired entanglement and overlapping phenomenon. For example, it is possible to allow the user to automatically increase and decrease the number of the object with the characteristics of the virtual object without user intervention. As a tested platform for this purpose, this paper provide an augmented reality eco-system environment with automatic interaction among virtual animals.

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Prediction of SNP interactions in complex diseases with mutual information and boolean algebra (상호정보와 부울대수를 이용한 복합질환의 SNP 상호작용 예측)

  • Leem, Sang-Seob;Wee, Kyu-Bum
    • Journal of the Korea Society of Computer and Information
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    • v.15 no.11
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    • pp.215-224
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    • 2010
  • Most chronic diseases are complex diseases which are caused by interactions of several genes. Studies on finding SNPs and gene-gene interactions involved in the development of complex diseases can contribute to prevention and treatment of the diseases. Previous studies mostly concentrate on finding only the set of SNPs involved. In this study we suggest a way to see how these SNPs interact using boolean expressions. The proposed method consists of two stages. In the first stage we find the set of SNPs involved in the development of diseases using mutual information based on entropy. In the second stage we find the highest accuracy boolean expression that consists of the SNP set obtained in the first stage. We experimented with clinical data to demonstrate the effectiveness of the proposed method. We also compared the differences between our method and the previous results on the SNP associations studies.

Development of Web-Based Assistant System for Protein-Protein Interaction and Function Analysis (웹 기반의 단백질 상호작용 및 기능분석을 위한 보조 시스템 개발)

  • Jung Min-Chul;Park Wan;Kim Ki-Bong
    • Journal of Life Science
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    • v.14 no.6 s.67
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    • pp.997-1002
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    • 2004
  • This paper deals with the WASPIFA (Web-based Assistant System for Protein-protein Interaction and Function Analysis) system that can provide the comprehensive information on Protein-protein interaction and function concerned with function analysis. Different from existing systems for protein function and protein-protein interaction analysis, which provide fragmentary information restricted to specific field, our system furnishes end-user with comprehensive and synthetic information on the input sequence to be analyzed, including function and annotation information, domain information, and interaction relationship information. The synthetic information that our system contains as local databases has been extracted from many resources related to function, annotation, motif and domain by various pre-processing. Employing our system, end-users can evaluate and judge the synthetic results to do protein interaction and function analysis effectively. In addition, the WASPIFA system is equipped with automatic system management and data update function that facilitates system manager to maintain and manage it efficiently.

A Study on the Semiautomatic Construction of Domain-Specific Relation Extraction Datasets from Biomedical Abstracts - Mainly Focusing on a Genic Interaction Dataset in Alzheimer's Disease Domain - (바이오 분야 학술 문헌에서의 분야별 관계 추출 데이터셋 반자동 구축에 관한 연구 - 알츠하이머병 유관 유전자 간 상호 작용 중심으로 -)

  • Choi, Sung-Pil;Yoo, Suk-Jong;Cho, Hyun-Yang
    • Journal of Korean Library and Information Science Society
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    • v.47 no.4
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    • pp.289-307
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    • 2016
  • This paper introduces a software system and process model for constructing domain-specific relation extraction datasets semi-automatically. The system uses a set of terms such as genes, proteins diseases and so forth as inputs and then by exploiting massive biological interaction database, generates a set of term pairs which are utilized as queries for retrieving sentences containing the pairs from scientific databases. To assess the usefulness of the proposed system, this paper applies it into constructing a genic interaction dataset related to Alzheimer's disease domain, which extracts 3,510 interaction-related sentences by using 140 gene names in the area. In conclusion, the resulting outputs of the case study performed in this paper indicate the fact that the system and process could highly boost the efficiency of the dataset construction in various subfields of biomedical research.

Characterization of Algal-Bacterial Ecological Interaction and Nutrients Removal Under Municipal Wastewater Condition (실제 하수조건에서 조류-세균 복합군집의 생태적 상호작용 및 영양염류 제거 특성 규명)

  • Lee, Jang-Ho;Park, Joon-Hong
    • Journal of Korean Society of Environmental Engineers
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    • v.33 no.5
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    • pp.314-324
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    • 2011
  • Algal biomass cultivated by wastewater is potentially useful resource for biodiesel production. However, little is known about algal nutrient metabolism and microbial interaction with bacteria under real municipal wastewater condition. In this work, we characterized nitrogen and phosphorus removals of municipal wastewater by a representative wastewater-growing algal population. Ankistrodesmus gracilis SAG 278-2, and analyzed its ecological interaction with wastewater bacterial communities. Compared to wastewater sludge itself, algal-bacterial co-culture improved nutrient removal. According to bacterial community analysis with 16S rRNA genes, a selective and dominant growth of a Unclassified Alcaligenaceae population resulted from algal growth in the algal-bacterial co-culture. The selectively stimulated bacterial population is phylogenetically close to Alcaligenes faecalis subsp. 5659-H, which is known to be co-present interact with algae in aquatic environment. These findings suggest that algal growth/metabolism may have effects on selection of a specific bacterial population in algal-bacterial co-cultures that can efficiently remove nutrients from municipal wastewater.

A Study of adolescent peer relationship associated with parents divorce (부모 이혼이 청소년 또래관계에 미치는 영향)

  • Kim, Eun-Joo
    • Journal of Convergence for Information Technology
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    • v.8 no.3
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    • pp.33-38
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    • 2018
  • Objective: To review the literature on development in the peer relationships of the adolescents within the context of their parents' divorce. Method: The cognitive and sociocultural literature was searched to analyze the social interactions of the adolescents of divorced parents. Results: The evidence supports the variations in adolescents' peer relations based on their family structure. Comparisons with the adolescents of the nuclear families and the step-families suggest certain types of interactions the adolescents of divorced parents experience. Conclusions: Divorce of the parents is associated with the difficulties their children at adolescent experience, such as the higher level of social isolation among their peers or their incompetence in social skills. For there is not much known about the integration into the world of peers of the adolescents from the divorced families, while their general psychological and cognitive development after the separation is often studied, future study will need to focus on their peer interactions at their school environment and the social treatment for the possible hardships in their peer relations.