• Title/Summary/Keyword: 분리상황

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Context Driven Component Model Supporting Scalability of Context (상황정보의 확장성을 지원하는 상황정보 기반 컴포넌트 모델)

  • Yoon, Hoi-Jin;Choi, Byoung-Ju
    • Journal of KIISE:Computing Practices and Letters
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    • v.13 no.1
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    • pp.24-34
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    • 2007
  • Since Context Driven Component model is based on the idea that a context-aware application consists of the components that are context sensitive and the components that do not depend on the context, it divides the context sensitive part into components according to which context information they are related to. The model supports the scalability of context information by building an application through composing Context Driven Components. Furthermore, it solves the embeddedness of context information inside the application logic. To show the contributions of the model, this paper applies it to Call-forwarding application, and analyses how the model supports the scalability and the embeddedness.

On-Line Topic Segmentation Using Convolutional Neural Networks (합성곱 신경망을 이용한 On-Line 주제 분리)

  • Lee, Gyoung Ho;Lee, Kong Joo
    • KIPS Transactions on Software and Data Engineering
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    • v.5 no.11
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    • pp.585-592
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    • 2016
  • A topic segmentation module is to divide statements or conversations into certain topic units. Until now, topic segmentation has progressed in the direction of finding an optimized set of segments for a whole document, considering it all together. However, some applications need topic segmentation for a part of document which is not finished yet. In this paper, we propose a model to perform topic segmentation during the progress of the statement with a supervised learning model that uses a convolution neural network. In order to show the effectiveness of our model, we perform experiments of topic segmentation both on-line status and off-line status using C99 algorithm. We can see that our model achieves 17.8 and 11.95 of Pk score, respectively.

Measurement of Multi Conflict Avoidance for Free flight Efficiency (자유비행 다중 충돌회피 효율성 측정 연구)

  • Lee, Dae-Yong;Kang, Ja-Young
    • Journal of Advanced Navigation Technology
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    • v.16 no.2
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    • pp.197-203
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    • 2012
  • In this paper, study the substantial issues which occurs upon free flight environment by performing separation assurance under multiple conflict(over 3 Aircraft), recovery en route under the terms of time constrains and fixed way point after the conflict avoidance, correlations between conflict detection distance and separation assurance by utilizing Autonomous flight algorithm. Result of this experiment demonstrates that the extension of detection distance is advantageous to solution of separation assurance and enhancing of flight efficiency, choose to maneuver by applying time constrain terms and fixed way point according to the situation of conflict prediction in case of recovery maneuver after the conflict avoidance. And separation assurance can be solved by applying 2 degrees or more of bank angle. When choosing the optimal bank angle could be drastically improved flight efficiency.

먹는 물과 막분리 공정

  • 김성철
    • Proceedings of the Membrane Society of Korea Conference
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    • 1996.09a
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    • pp.1-1
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    • 1996
  • 한국막학회서는 "먹는 물과 막분리공정" 이란 주제를 갖고 산학협동 심포지움을 갖고자 합니다. 물은 인간을 포함한 모든 생명체의 근원일 뿐만 아니라 유지하는데 매우 중요합니다. 그러나 인구증가와 산업발전에 따라 우리가 마시는 물까지도 위협받고 있는 상황에서 막분리공정은 폐수처리뿐만 아니라 정수처리 증 수처리 분야에서 널리 이용되고 있고 그 범외도 확대되고 있습니다. 이처럼, 분리막은 우리에게 상당한 중요한 위치를 차지하고 있으며, 다른 산업분야까지 적지않은 영향을 끼치고 있습니다. 본 심포지움에서는 물이 인체에 미치는 영향과 먹는 물 처리 공정인 막분리 기술을 소개하고자 한다. 따라서 국내 수질에 맞는 막분리 공정 기술을 알 수 있는 기회가 되기를 바랍니다. 되기를 바랍니다.

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Factors Influencing Parenting Style by Infection Anxiety and Separation Individiaulization Problems in Mothers with Infants and Toddlers in the COVID-19 Pandemic Situation (COVID-19 펜데믹 상황에서 영유아를 둔 어머니의 코비드감염 불안, 분리개별화 문제가 양육스타일에 미치는 영향요인)

  • Kim, Young Kyoung;Park, Wan Ju
    • The Journal of the Korea Contents Association
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    • v.22 no.4
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    • pp.417-432
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    • 2022
  • This study was conducted to investigate the effects of covid-19 pandemic on mother's child-rearing style and provide information on mother-rearing. The significance of regression coefficients was verified to investigate the factors affecting warm parenting and control parenting, and the effect of separation and individualization on warm parenting (β=-).40, p <.001). Moreover, covid infection has a positive effect on controlled child care (β=.21, p=.002), and separation has a significant effect on controlled child care (β=-26, p<.001). Based on the results of these studies, we can see that the strong belief in mother-rearing and the separation and individualization of healthy children have a great impact on child growth.

A Study on Islanding Detection of Distributed Generation Considering Fault Location (사고위치를 고려한 분산전원의 단독운전 상태 검출에 관한 연구)

  • 정승복;김재철
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.18 no.4
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    • pp.118-123
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    • 2004
  • This paper studies islanding detection of DG(distributed generation) considering fault location. Through the past studies, we found that islanding detection has been studied that DG disconnected when power islanding was detected by power state change and output change of DG. But, fault location was not considered. For example, fault in adjacent distribution line, fault on interconnection line fault, load shave by overload and normal operation were not considered. In this paper, We distinguish these considerations through power state change. Also, we proved islanding detection algorithm through PSCAD/EMTDC simulation.

Methods for Implementing Environmental Education in Elementary Schools by using AI Programming (초등교육에서 인공지능 프로그래밍을 활용한 환경교육 적용 방법)

  • Lee, Yongbae
    • 한국정보교육학회:학술대회논문집
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    • 2021.08a
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    • pp.309-314
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    • 2021
  • Even though environmental education has been getting more attention along with the recent rapid increase of natural disasters such as heat wave, heavy snow and downpour, it is unlikely for elementary schools to provide actual lessons due to the shortage of financial support and educational resources. This study is designed to enhance the recycling judgement of the elementary students to define paper, glass, plastic, PET, metal by using AI programming. The survey from the student participants shows that the learning and practice with AI programming was positively helpful for more than 70% of the participants in knowledge obtaining and understanding of recycling. The participants also gained better understanding on artificial intelligence and got motivated to have more opportunities to learn artificial intelligence programming.

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Development of Ubiquitous Median Barrier System in the Highway (유비쿼터스 도로 중앙분리대 시스템 개발)

  • Jo, Byung-Wan;Park, Jung-Hoon;Yoon, Kwang-won;Kim, Heoun
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.29 no.4D
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    • pp.499-507
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    • 2009
  • A median barrier in the road is to separate driver and passenger the traffic flow in the 4-line over highway. In order to keep thee safety of and minimize the traffic jam in the traffic accidents, the ubiquitous intelligent median barrier system is proposed in this paper. This system is required to develop the sensor node fields in the median barrier, which detects the traffic accident using vibration sensors and wireless communication network. Free space test to sensing & receiving radio frequency, verification of middleware to report and countermeasure the accident intelligently to police and hospital are carried out.

영상 통화 상황에서 안정적인 사람 영역 검출 방법

  • Heo, Seon;Gu, Hyeong-Il;Jo, Nam-Ik
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2013.06a
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    • pp.244-247
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    • 2013
  • 본 논문에서는 영상 통화나 웹캠 혹은 화상 회의 상황의 비디오 영상에서 안정적으로 사람 영역과 배경을 분리하는 방법을 제안한다. 이 방법은 카메라가 고정이라는 등의 제약을 두지 않고 자유롭게 움직이는 비디오 영상에서 사용자의 입력도 필요 없이 자동으로 사람 영역을 분리해 내게 된다. 첫 프레임에서 얼굴 검출을 통해 사람의 대략적인 위치를 추측하여 배경과 사람 영역을 Gaussian Mixture Model 로 모델링하고, 매 프레임 이 모델을 효율적으로 갱신한다. 그리고 비디오 영상의 연속성을 에너지 함수 설계에 적용하여 프레임간 사람 영역의 변화가 크지 않고 안정적으로 나오게 된다. 제안하는 방법은 기존 방법들에 비하여 제약이 적고, 사용자 입력이 필요 없으며 안정적으로 사람 영역을 분리함을 실험을 통하여 확인하였다.

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An Android Application to Guide Waste Sorting using a Deep Learning Image Classifier (딥러닝 사진 분류기를 활용한 분리배출 가이드 안드로이드 응용)

  • Kim, So-Yeong;Park, So-Hui;Kim, Min-Ji;Lee, Je-min;Kim, Hyung-Shin
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2021.07a
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    • pp.99-101
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    • 2021
  • 쓰레기 대란, 환경파괴의 상황 속 실제 재활용 쓰레기 가운데 절반 정도만이 재활용되고 있다. 재활용률을 높이기 위해, 올바른 분리배출 방법을 쉽고 편하게 찾을 수 있는 방식이 필요하다. 본 논문에서는 올바른 분리수거를 통해 재활용률을 증진하기 위한 분리수거 분류 서비스를 제안한다. 본 논문은 ResNet-34 모델을 통해 안드로이드 카메라로 촬영한 이미지의 분리배출 클래스를 예측하고 그에 따른 분리배출 가이드를 제공하는 시스템을 설계하였다. 향후 연구에서는 모델의 정확도 향상을 위해 온디바이스와 서버 모델을 분리하고 모델의 개인 맞춤화를 진행할 예정이다.

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