• Title/Summary/Keyword: 상호작용 기능

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Prediction of Implicit Protein - Protein Interaction Using Optimal Associative Feature Rule (최적 연관 속성 규칙을 이용한 비명시적 단백질 상호작용의 예측)

  • Eom, Jae-Hong;Zhang, Byoung-Tak
    • Journal of KIISE:Software and Applications
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    • v.33 no.4
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    • pp.365-377
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    • 2006
  • Proteins are known to perform a biological function by interacting with other proteins or compounds. Since protein interaction is intrinsic to most cellular processes, prediction of protein interaction is an important issue in post-genomic biology where abundant interaction data have been produced by many research groups. In this paper, we present an associative feature mining method to predict implicit protein-protein interactions of Saccharomyces cerevisiae from public protein interaction data. We discretized continuous-valued features by maximal interdependence-based discretization approach. We also employed feature dimension reduction filter (FDRF) method which is based on the information theory to select optimal informative features, to boost prediction accuracy and overall mining speed, and to overcome the dimensionality problem of conventional data mining approaches. We used association rule discovery algorithm for associative feature and rule mining to predict protein interaction. Using the discovered associative feature we predicted implicit protein interactions which have not been observed in training data. According to the experimental results, the proposed method accomplished about 96.5% prediction accuracy with reduced computation time which is about 29.4% faster than conventional method with no feature filter in association rule mining.

The Design and Implementation of Interactive Web-Based Instruction for Elementary School Students in Map Learning (초등학생 지도 학습을 위한 상호작용적 WBI 설계 및 구현)

  • Ko, Yong-Seok;Kim, Jong-Woo
    • 한국정보교육학회:학술대회논문집
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    • 2004.01a
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    • pp.207-216
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    • 2004
  • 지도 학습은 7차 교육과정의 초등학교 3학년 1학기 사회 교과서 1단원, 우리 고장의 모습에서 그림지도를 중심으로 전체 차시인 19차시에 걸쳐 다루고 있다. 그리고 4학년 1학기 사회 교과서 1단원, 우리 시 도의 모습에서도 지도의 기본 요소인 방위, 기호, 축척, 등고선을 중심으로 17차시 중 7차시에 걸쳐 학습하게 되어 있다. 그러나 자료 제작의 어려움, 개인 수준 차이로 인하여 제대로 지도 학습을 하기는 어렵다. 이에 따라 본 연구는 초등학생 지도 학습을 위한 상호작용적 WBI를 설계하고 구현하였다. 교육과정의 내용을 재구성하여 준비, 방위, 기호, 축척, 등고선, 지도 그리기의 6개 영역 아래 기본학습과 심화학습을 하게 되며, 심화학습은 학습자가 적극적으로 참여하여 학습할 수 있게 하였다. 그리고 심화학습을 마치면 보물찾기 활동이 이루어지면서 학습의 재미를 느끼도록 하였다. 이 외에도 우리들의 이야기, 토의하기 둥 다양한 상호작용 기능을 제공하여 학습의 이해를 돕는 WBI를 구현하였다.

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Interplay between Brassinosteroid and ABA signaling during early seedling development (유식물 발달과정에서 브라시노스테로이드와 앱시스산 신호전달의 상호작용 연구)

  • Kim, Hyemin;Hong, Jeongeui;Cho, Yong-Gu;Kang, Kwon Kyoo;Ryu, Hojin
    • Journal of Plant Biotechnology
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    • v.44 no.3
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    • pp.264-270
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    • 2017
  • Brassinosteroid (BR), a plant steroid hormone, plays a critical role in the growth and developmental processes through its canonical signaling and crosstalk with various internal and external signaling pathways. Recent studies have revealed the essential interplay mechanisms between BR and ABA during seed germination and early seedling establishment. However, molecular mechanisms for this important signaling crosstalk are largely unknown. To understand the crosstalk between BR-mediated signaling pathways and ABA functions during early seedling development, we carried out a comparative genome-wide transcriptome analysis with an Agilent Arabidopsis $4{\times}44K$ oligo chip. We selected and compared the expression patterns of ABA response genes in ABA-insensitive bes1-D mutant with wild type seedlings on which ABA was exogenously applied. As a result, we identified 2,353 significant differentially expressed genes (DEGs) in ABA-treated bes1-D and wild type seedlings. GO enrichment analysis revealed that ABA signaling, response, and metabolism were critically down-regulated by BR-activated signaling pathways. In addition, the genome-wide transcriptome analysis data revealed that BR-regulated signaling pathways were tightly connected to diverse signal cues including abiotic/biotic stress, auxin, ROS etc. In this study, we newly identified the molecular mechanisms of BR-mediated repression of ABA signaling outputs. Also, our data suggest that interplay among diverse signaling pathways is critical for the adaptive response of the plant to various environmental factors.

Two-dimensional Assembly of Organically Functionalized Ag Nanoparticles at Air-water Interface (공기와 물이 형성하는 계면에서 발생하는 유기적으로 기능화된 은 나노 입자들의 2차원 조립)

  • Chung, Sungwook
    • Applied Chemistry for Engineering
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    • v.28 no.1
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    • pp.125-131
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    • 2017
  • We report organically functionalized Ag nanoparticles spontaneously form two-dimensional (2D) novel superstructures at the air-water interface. Analysis of the superstructures suggests that the 2D assembly of Ag nanoparticles originates from a subtle interplay between characteristic inter-particle interactions that can be readily controlled by changing the sizes of nanoparticle metal core and surfactants. Such structures have potential uses in nanostructured functional materials, catalysis, and device applications.

User Interaction Library for Natural Science Education Digital App-Book on Android Platform (안드로이드 기반 자연과학 교육용 디지털 앱북 개발을 위한 사용자 상호작용 라이브러리)

  • Lee, Kang-Woon;Beak, A-Ram;Choi, Haechul
    • Journal of Broadcast Engineering
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    • v.20 no.1
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    • pp.110-121
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    • 2015
  • The digital app-book is an advanced form of the electronic book (e-book), which attracts a lot of interests by the help of video, sound, sensors and a variety of interactions. As mobile devices have evolved, the demand of digital app-books is also rising substantially. However, the distribution of digital app-book contents is hard to meet the demand because the digital app-book requires a lot of programming cost for the interaction. To resolve this problem, Was verified and implementation as a library function of the interaction between device and user. The proposed library consists of three parts (user action recognition, device action, and content action) and provides various user-device interaction functions by combining methods of each part, which can support source code reusability, easy understanding and availability, and wide expandibility. The library was used in the development of natural science education app-book contents. As a result, it could reduce a lot of code lines and facilitate more rapid app-book development.

Main SNP Identification of Hanwoo Carcass Weight with Multifactor Dimensionality Reduction(MDR) Method (MULTIFACTOR DIMENSIONALITY REDUCTION(MDR)을 이용한 한우 도체중에서의 주요 SNP 규명)

  • Lee, Jea-Young;Kim, Dong-Chul
    • The Korean Journal of Applied Statistics
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    • v.21 no.1
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    • pp.53-63
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    • 2008
  • It is commonly believed that disease of human or economic traits of livestock are caused not by single gene acting alone, but by multiple genes interacting with one an-other. This issue is difficult due to the limitations of parametric statistical method like as logistic regression for detection of gene effects that are dependent solely on interactions with other genes and with environmental exposures. Multifactor dimensionality reduction (MDR) nonparametric statistical method, to improve the identification of single nucleotide polymorphism (SNP) associated with the Hanwoo(Korean cattle) carcass cold weight, is applied and compared with ANOVA results.

Enhancing e-Learning Interactivity vla Emotion Recognition Computing Technology (감성 인식 컴퓨팅 기술을 적용한 이러닝 상호작용 기술 연구)

  • Park, Jung-Hyun;Kim, InOk;Jung, SangMok;Song, Ki-Sang;Kim, JongBaek
    • The Journal of Korean Association of Computer Education
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    • v.11 no.2
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    • pp.89-98
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    • 2008
  • Providing appropriate interactions between learner and e- Learning system is an essential factor of a successful e-Learning system. Although many interaction functions are employed in multimedia Web-based Instruction content, learner experience a lack of similar feedbacks from educators in real- time due to the limitation of Human-Computer Interaction techniques. In this paper, an emotion recognition system via learner facial expressions has been developed and applied to a tutoring system. As human educators do, the system observes learners' emotions from facial expressions and provides any or all pertinent feedback. And various feedbacks can bring to motivations and get rid of isolation from e-Learning environments by oneself. The test results showed that this system may provide significant improvement in terms of interesting and educational achievement.

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Potential Feedback of Agroecosystem to Climate Changes (농업생태계의 기후변화 관련 피드백 기능)

  • Lee Byong-Lyol;Guh Ja-Ock
    • Korean Journal of Agricultural and Forest Meteorology
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    • v.1 no.2
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    • pp.151-159
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    • 1999
  • 지구규모의 대기-지표-생물권(Atmo-Geo-Bio-Sphere)간의 끊임없는 상호작용(Interaction)의 피드백(Feedback)의 결과로 야기되는 기상변화는 아직도 이해를 위한 우리의 노력이 더욱 요구되고 있는 자연현상이다. 지구상의 모든 생물은 궁극적으로는 환경변화에 순응하여 생태계의 안정을 유지하는 방향으로 진화할 것이므로 생물자원의 관리분야라 할 수 있는 농업생산도 결국 기상자원의 변화에 효율적으로 적응하기 위한 인간활동인 것이다. 최근 빈발하고 있는 세계적인 이상기상의 출현은 일시적인 현상이 아니라 과도한 인간활동에서 야기된 대기질의 악화에 기인하는 비가역적이고 비선형적인 현상이라는데 불확실성과 심각성이 매우 크다. 지구상의 모든 농업생태계는 기상의 영향을 크게 받을 뿐만 아니라 반대로 기상에 커다란 영향을 미치는 중요한 생물권의 일부로 인식되고 있다. 농업활동의 결과는 항상 크던 작던 간에 대기조성에 영향을 미치게 되고 이는 다시 상호작용과 피드백에 의해 기상과 기후를 변화시키는 동인이 될 수 있다. 지구환경변화와 농업과의 관계는 지금까지는 주로 "기후변화가 농업생산에 미치는 영향"에 대한 접근방법을 택하여 왔다. 여기에서는 이와는 달리 "농업활동이 기후변화와 변동에 미칠 수 있는 가능성과 잠재력"에 대한 접근방법을 이용하여 농업과 기상과의 상호작용과 피드백효과를 새로운 시각에서 조견하고자 하였다. 상호작용 중 먼저 기후학적 변화원인으로 관심대상이 되고 있는 농업생태계의 온실기체 방출과 고정의 측면에서 이와 연관성이 높은 농업활동별로 온실가스의 방출/고정에 미치는 영향을 소개하고, 다음으로 생물지리화학적 및 생물지리물리학적 해석 방법을 검토 소개하였다. 한편 농업활동에 따른 지표면 특성의 변화가 국지기상 변화에 미치는 영향에 대한 검토를 에너지수지와 수분수지 관점에서 소개하였으며, 끝으로 농업활동의 근거지인 농촌지역의 인문사회학적 변화와 농업활동간의 관계, 그리고 이들이 기후변화/변동에 미칠 수 있는 잠재적 영향력을 살펴보았다.수 있는 잠재적 영향력을 살펴보았다.

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A study on iNterface and Interaction using Chatgpt System in Virtual Reality Space (가상현실 공간에서의 ChatGPT 시스템을 활용한 인터페이스와 상호작용에 대한 연구)

  • Ju-Sang Lee;Hyo-Seung Lee;Woo-Jun Choi
    • The Journal of the Korea institute of electronic communication sciences
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    • v.18 no.6
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    • pp.1285-1290
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    • 2023
  • Although the environment in virtual space (hereinafter referred to as VR) has the problem of being difficult to access compared to existing PCs and smartphones, it has the advantage of being more realistic and providing endless experiences and functions compared to existing environments. In this VR environment, there is a need to develop technologies that help people handle tasks more conveniently in the virtual world by studying interfaces and interactions using ChatGPT, a recently popular AI technology. The ChatGPT interface and interaction in the VR environment are also studied to provide personalized services. Through this, users can choose the interface that suits them and the secretary interface can also provide customized services optimized for users. Accordingly, in this study, we design a convenient interaction method by linking the ChatGPT system in a VR environment and use it as a previous study for the development of an AI assistant.

Effect of Balance Training on Metabolic Syndrome Indicators and Functional Fitness (밸런스트레이닝이 대사증후군 지표 및 기능적 체력에 미치는 영향)

  • Soon-Gi, Baek
    • Journal of Industrial Convergence
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    • v.20 no.11
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    • pp.213-219
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    • 2022
  • The purpose of this study was to examine the effect of balance training on metabolic syndrome indicators and functional fitness. For this purpose, a 12-week balance training was conducted for 16 elderly women who usually complain of back and shoulder pain. In addition, of the 16 subjects, 8 were classified into the exercise group and 8 into the control group, and the effectiveness of the training program was verified. As a result of examining the metabolic syndrome index and functional fitness before and after 12 weeks of balance training, the following results were obtained. First, a significant interaction was shown in the metabolic syndrome index before and after 12 weeks of balance training. Second, there was a significant interaction in functional fitness before and after 12 weeks of balance training. This confirmed that balance training had a positive effect on functional fitness along with positive changes in metabolic syndrome in elderly women. In the future, it is necessary to clarify the effect of balance training through the expansion of the training period and measurement variables.