Abstract This study analyzes the effectiveness of adding educational gaming elements into online lecture system flipped classroom as a method to increase participation and interest in preparation before class. held an “understanding sequence” for 20 classes during 7‐week automation equipment class with 30 s year high school students Incheon's specialized technical target. After class, learning attitude learners was measured through surveys in‐depth interviews. As result, first, it found that...

The most commonly used algorithm in recommendation systems is collaborative filtering. However, despite its wide use, the prediction accuracy of this unexceptional. Furthermore, whether quantitative data such as product rating or purchase history reflect users’ actual taste questionable. In article, we propose a method to utilise user review extracted with opinion mining for systems. To evaluate proposed method, perform test on Amazon data, and without additional result data. performances...

The digitization of the fashion industry diversified consumer segments, and consumers now have broader choices with shorter production cycles; digital technology in is attracting attention consumers. Therefore, a system that efficiently supports searching recommendation product becoming increasingly important. However, text-based search method has limitations because nature industry, which design very important factor. we developed an intelligent technique based on deep learning for...

Text summarization refers to the process that generates a shorter form of text from source document preserving salient information. Many existing works for are generally evaluated by using recall-oriented understudy gisting evaluation (ROUGE) scores. However, as ROUGE scores computed based on n-gram overlap, they do not reflect semantic meaning correspondences between generated and reference summaries. Because Korean is an agglutinative language combines various morphemes into word express...

Due to institutional and privacy issues, medical imaging researches are confronted with serious data scarcity. Image synthesis using generative adversarial networks provides a generic solution the lack of data. We synthesize high-quality brain tumor-segmented MR images, which consists two tasks: segmentation. performed experiments different networks, first ResNet model, has significant advantages style transfer, second, U-Net one most powerful models for compare performance each model...

현대 사회에서 패션 시장의 규모는 해외와 국내 모두 지속적으로 증가하고 있다. 전자상거래를 통해 상품을 구입하는 경우 다른 소비자들이 작성한 상품에 대한 평가 데이터는 소비자가 상품의 구입 여부를 결정하는데에 영향을 미친다. 기업의 입장에서도 소비자의 데이터를 분석하여 피드백을 반영한다면 성과에 긍정적인 미칠 수 이에 본 논문에서는 아마존 리뷰 학습하여 형성된 워드임베딩 공간을 이용하여 사용자의 감성을 분석하는 모델을 구축하는 방법을 제안한다. 실험은 데이터 570만건을 긍정, 부정 데이터의 개수에 따라 총 3개의 SVM 분류기 학습하는 방식으로 진행하였다. 실험 결과 긍정 5만건, 리뷰데이터 5만건을 분류기를 학습하였을 때 88.0%로 가장 높은 정확도(accuracy)를 나타냈다. In the modern society, size of fashion market is continuously increasing both overseas and domestic. When...

We propose a minimum learning judgment system that is appropriate for online environments, and we verify this through various experiments. By focusing on the effort, can easily quickly determine whether learners have exerted effort required learning. To do this, automatically generates word game determines has taken place results of game. system, conducted comparative experiment importance high-frequency words, count verification test games, criteria based length video lecture. Results...

Heart rate measurement is a crucial factor for assessing the overall health status of an individual. Abnormal heart rates, whether lower or higher than baseline, can indicate potential pathological physiological abnormalities. As result, it necessary to have reliable technology monitoring rates in various fields, including medicine, biotechnology, and healthcare. With recent advancements deep learning research, now possible monitor conveniently hygienically without specialized equipment,...

A significant amount of digital cultural contents is shared online, but learners do not know where subject matter content or how to find it. Therefore, there a need for service improve educational quality by effectively providing relevant information in response searches that useful learners. This study developed and tested the usability utility an intelligent system visualizes contents. The collects data on contents, automatically classifies them, creates triple display results with 3D...