• 품질경영학회지
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• 제49권4호
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• pp.569-579
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• 2021

Purpose: The purpose of this study is the time series analysis for predicting the yield of crops applicable to each farm using environmental variables measured by smart farms cultivating tomato. In addition, it is intended to confirm the influence of environmental variables using a deep learning model that can be explained to some extent. Methods: A time series analysis was performed to predict production using environmental variables measured at 75 smart farms cultivating tomato in two periods. An LSTM-based encoder-decoder model was used for cases of several farms with similar length. In particular, Dual Attention Mechanism was applied to use environmental variables as exogenous variables and to confirm their influence. Results: As a result of the analysis, Dual Attention LSTM with a window size of 12 weeks showed the best predictive power. It was verified that the environmental variables has a similar effect on prediction through wieghtss extracted from the prediction model, and it was also verified that the previous time point has a greater effect than the time point close to the prediction point. Conclusion: It is expected that it will be possible to attempt various crops as a model that can be explained by supplementing the shortcomings of general deep learning model.

• 정보처리학회논문지:소프트웨어 및 데이터공학
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• 제11권9호
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• pp.391-398
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• 2022

비대면 수업이 지속되면서 학습자의 주의집중에 관한 논의가 계속되고 있다. 대면수업이나 비대면 수업에 상관없이 학습 효과를 높이기 위해서는 학습자의 주의집중이 중요하다. 본 연구에서는 학습자의 주의집중에 영향을 주는 요인 중 하나인 학습자 감정을 고려하여 학습자의 주의집중을 유도하는 모바일 애플리케이션 프로토타입을 개발한다. 학습자가 애플리케이션에 표시된 4가지 감정 중 하나를 선택하면 선택한 감정과 연관된 학습자의 주의집중을 유도하는 활동을 보여준다. 개발한 애플리케이션의 사용성을 평가하기 위해 중·고등학생 32명을 대상으로 애플리케이션을 실행하게 한 후 리커트 5점 척도 설문을 진행한다. '나는 집중력이 생긴다'와 '나는 심리적 안정감이 든다'는 문항의 점수는 각 3.56점, '나는 잡념이 사라진다'는 문항의 점수는 3.6점의 결과를 보임으로써 본 연구에서 개발한 애플리케이션이 학습자의 주의집중을 유도할 가능성이 있다는 것을 보여준다.

• 한국항행학회논문지
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• 제27권2호
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• pp.182-189
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• 2023

깊이 추정은 차량, 로봇, 드론의 자율주행을 위한 3차원 지도 생성의 핵심 기술이다. 기존의 센서 기반 깊이 추정 방식은 정확도는 높지만 가격이 비싸고 해상도가 낮다. 반면 카메라 기반 깊이 추정 방식은 해상도가 높고 가격이 저렴하지만 정확도가 낮다. 본 연구에서는 무인항공기 카메라의 깊이 추정 성능 향상을 위해 Self-Attention 기반의 비지도 단안 카메라 영상 깊이 추정을 제안한다. 네트워크에 Self-Attention 연산을 적용하여 전역 특징 추출 성능을 향상시킨다. 또한 카메라 파라미터를 학습하는 네트워크를 추가하여 카메라 칼리브레이션이 안되어있는 이미지 데이터에서도 사용 가능하게 한다. 공간 데이터 생성을 위해 추정된 깊이와 카메라 포즈는 카메라 파라미터를 이용하여 포인트 클라우드로 변환되고, 포인트 클라우드는 Octree 구조의 점유 그리드를 사용하여 3D 맵으로 매핑된다. 제안된 네트워크는 합성 이미지와 Mid-Air 데이터 세트의 깊이 시퀀스를 사용하여 평가된다. 제안하는 네트워크는 이전 연구에 비해 7.69% 더 낮은 오류 값을 보여주었다.

• ETRI Journal
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• 제43권5호
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• pp.775-786
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• 2021

To translate in real time, a simultaneous translation system should determine when to stop reading source tokens and generate target tokens corresponding to a partial source sentence read up to that point. However, conventional attention-based neural machine translation (NMT) models cannot produce translations with adequate latency in online scenarios because they wait until a source sentence is completed to compute alignment between the source and target tokens. To address this issue, we propose a reinforced learning (RL)-based attention mechanism, the reinforced attention mechanism, which allows a neural translation model to jointly train the stopping criterion and a partial translation model. The proposed attention mechanism comprises two modules, one to ensure translation quality and the other to address latency. Different from previous RL-based simultaneous translation systems, which learn the stopping criterion from a fixed NMT model, the modules can be trained jointly with a novel reward function. In our experiments, the proposed model has better translation quality and comparable latency compared to previous models.

• 만화애니메이션 연구
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• 통권6호
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• pp.172-190
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• 2002

Flash animation occupied public attention since . It started to by payed attention through the internet first, and it spread into the off line. Flash animation becomes one of animation genre, as it tooks the place at the international animation festival. Also, as it is produced for tv, and the cinema, it has an infinite of possibilities. In this point, we have to notice that the domestic flash animation is the most successful in the world. Therefore, this paper will show accomplishment point and distinction of flash animation. Chapter 1, 2, will talk about basic outline and practical use of flash. Chapter 3 will look at a growth industry and process of flash animation, focused on Mashmaro, Zolaman, and Woobyboy. Chapter 4, will discuss about accomplishment point and distinction of flash animation compare with existing animation. Also it will conclude with a reflection on recommendations for further improvement.

• Korean Journal of Mathematics
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• 제29권3호
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• pp.455-466
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• 2021

Coupled fixed point results have attracted much attention among the researchers in recent times specially in the field of fuzzy metric spaces. In this paper we established a coupled fixed point result for weakly compatible mappings in G-fuzzy metric spaces. We have deduced a corollary to our main theorem. Our result also supported by examples.

• 한국멀티미디어학회논문지
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• 제24권2호
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• pp.328-335
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• 2021

In the era of 'Untact', virtual reality-based job training platforms are actively being used as part of non-face-to-face education for students with developmental disabilities. Because the people with developmental disabilities may lack sufficient cognitive abilities, it is difficult to conduct untact training seamlessly without the help of a third party. Therefore, it is necessary for training programs to identify the right timing to provide help so that the training can be continued. This research analyzed the visual attention of students with developmental disabilities in virtual reality-based job training program in order to determine the point of time when an intervention is required by the trainee. Results showed that students who completed the mission tended to have intense visual attention on a small number of objects for a certain period of time; the visual attention of the students who failed tended to shift erratically among multiple objects.

• 한국디자인학회:학술대회논문집
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• 한국디자인학회 2001년도 Bulletin of The 5th Asian Design Conference International Symposium on Design Science
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• pp.7.2-7
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• 2001

• International Journal of Reliability and Applications
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• 제2권3호
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• pp.199-207
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• 2001

The failure rate functions between successive failures are of concatenated form. We allow the parameters of failure rate function change after a certain failure and its fixing. We confine out attention to a model wherein the interfailure times are described by its failure rate function. We suggest an adaptive failure rate function with a change-point under the assumption that interfailure times are record value statistics from a Weibull distribution. The proposed model will be applied through a practical example of software failure data.

• Journal of the Korean Academy of Child and Adolescent Psychiatry
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• 제21권1호
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• pp.3-10
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• 2010

Objectives ： The current review aimed to describe the major findings of the NIMH Collaborative Multisite Multimodal Treatment Study of Children with Attention-Deficit Hyperactivity Disorder (MTA) with regard to the treatment of children with attention-deficit hyperactivity disorder (ADHD). Methods ： We performed a general review of the literature regarding the efficacy of the MTA's proposed treatments. Results ： There is a large and still increasing body of evidence regarding the MTA's treatment outcomes. We present and discuss details of the findings at each follow-up point. Conclusion ： Currently, findings regarding the MTA's treatments suggest children with combined-type ADHD exhibit significant impairment in adolescence, despite their initial symptom improvement. Further studies, using innovative treatment approaches and targeting specific areas of adolescent impairment, are needed in order to enhance ADHD treatment outcomes.