• 한국농공학회논문집
• /
• 제54권3호
• /
• pp.81-89
• /
• 2012

This paper presents a set of controlled simulated statical and engineering mechanical experiments accessible via the virtual world environment (VWE) and virtual physics lab S/W. Online courses of the university offering courses and/or programs online are growing and the number of students want education in ways which fit their personal places, e-learning is becoming more important and ubiquitous each year. In this study, first of all, question is rather 'How do we execute the learning effectiveness of e-learning courses?' than 'Why does they need e-learnig or VW-learning?'. In particular, is it possible to effectively teach mechanical engineering courses online? The answer was 'No'. So, there is little research on many of these questions. And another important question is 'Is e-learning cost effective?'. For the answer, This research provided that an instructional design model is used to 'How to think and apply the Newtonian forces' in the virtual physics lab S/W. Collected data from student are administered in the spring semester when students studied 'Introduction to Bio-resources and Systems Engineering'. Results show that a cadre of students can take highly interactively physical properties of mechanical engineering in the virtual laboratory environment. Those show that VWE is greater than that of a similar real world presentation or experimental lab, since most of students are delighted to modify and retry modeling works in the VWE.

• 한국컴퓨터정보학회논문지
• /
• 제27권11호
• /
• pp.13-18
• /
• 2022

본 논문에서는 학습에 참여하는 각 디바이스의 모델들로부터 성능검증에 따라 가중치를 두어 글로벌 모델을 업데이트하는 VW-FedAVG(Validation based Weighted FedAVG)를 두 가지 방식으로 제안 한다. 첫 번째 방식은 서버 검증(Server side Validation) 구조로 글로벌 모델을 업데이트 하기 전에 각 로컬 클라이언트 모델을 하나의 전체 검증 데이터셋을 통해 검증하도록 설계 했다. 두 번째는 클라이언트 검증(Client side Validation) 구조로 검증 데이터셋을 각 클라이언트에 고르게 분배하여 검증을 한 후 글로벌 모델을 업데이트 하는 방식으로 설계 했다. 전체 실험에 적용한 데이터셋은 MNIST, CIFAR-10으로 이미지 분류에 대해 IID, Non-IID 분포에서 기존 연구 대비 더 높은 정확도를 얻을 수 있었다.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제11권4호
• /
• pp.2093-2108
• /
• 2017

In this paper, we describe a novel method for recognizing human actions from different views via view knowledge transfer. Our approach is characterized by two aspects: 1) We propose a unsupervised topic transfer model (TTM) to model two view-dependent vocabularies, where the original bag of visual words (BoVW) representation can be transferred into a bag of topics (BoT) representation. The higher-level BoT features, which can be shared across views, can connect action models for different views. 2) Our features make it possible to obtain a discriminative model of action under one view and categorize actions in another view. We tested our approach on the IXMAS data set, and the results are promising, given such a simple approach. In addition, we also demonstrate a supervised topic transfer model (STTM), which can combine transfer feature learning and discriminative classifier learning into one framework.