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Study on 2D Sprite *3.Generation Using the Impersonator Network
Yongjun Choi,Beomjoo Seo,Shin-Jin Kang,Jong In Choi 한국인터넷정보학회 2023 KSII Transactions on Internet and Information Syst Vol.17 No.7
This study presents a method for capturing photographs of users as input and converting them into 2D character animation sprites using a generative adversarial network-based artificial intelligence network. Traditionally, 2D character animations have been created by manually creating an entire sequence of sprite images, which incurs high development costs. To address this issue, this study proposes a technique that combines motion videos and sample 2D images. In the 2D sprite generation process that uses the proposed technique, a sequence of images is extracted from real-life images captured by the user, and these are combined with character images from within the game. Our research aims to leverage cutting-edge deep learning-based image manipulation techniques, such as the GAN-based motion transfer network (impersonator) and background noise removal (U2-Net), to generate a sequence of animation sprites from a single image. The proposed technique enables the creation of diverse animations and motions just one image. By utilizing these advancements, we focus on enhancing productivity in the game and animation industry through improved efficiency and streamlined production processes. By employing state-of-the-art techniques, our research enables the generation of 2D sprite images with various motions, offering significant potential for boosting productivity and creativity in the industry.
Kang, Junyoung,Le, Anh Huy Tuan,Park, Hyeongsik,Kim, Yongjun,Yi, Junsin,Kim, Sunbo The Korean Institute of Electrical and Electronic 2016 Transactions on Electrical and Electronic Material Vol.17 No.6
The mechanical properties of ITO films such as adhesion and internal stress are very important for the commercial application of solar cell devices. We report high quality pulsed DC magnetron sputtered ITO films deposited on silicon and glass substrates with low resistivity and high transmittance for various working pressures ranging from 0.96 to 3.0 mTorr. ITO films showed the lowest resistivity of $2.68{\times}10^{-4}{\Omega}{\cdot}cm$, high hall mobility of $46.89cm^2/V.s$, and high transmittance (>85%) for the ITO films deposited at a low working pressure of 0.99 mTorr. The ITO films deposited at a low working (0.96 mTorr) pressure had both amorphous and polycrystalline structures and were found to have compressive stress while the ITO films deposited at higher temperature than 0.99 mTorr was mixture of amorphous and polycrystalline and was found to have tensile stress.
YongJun Cheon,Eunsoo Moon,JeMin Park,ByungDae Lee,YoungMin Lee,HeeJeong Jeong,TaeUk Kang,Jeonghyun Park,Yoonmi Choi 대한신경정신의학회 2018 PSYCHIATRY INVESTIGATION Vol.15 No.3
This case report aimed to describe cyclic patterns of residual mood symptoms in partially remitted bipolar I patient. In a 24-year-old woman with bipolar I disorder, residual mood symptoms measured by self-rated daily mood chart for 18 months were analyzed using wavelet analysis. A 146-day periodicity was prominent for the first 100 days after discharge. Between 100-200 days, 146-day periodicity was progressively diminished and 21- and 8-day periodicity was prominent. Between 200-516 days, 21-day periodicity was diminished and 85-day periodicity became prominent. This case suggest that bipolar patients might have cyclic residual symptoms with specific frequencies.
이용준(Yongjun Lee),권주원(Juwon Kwon),김중원(Jungwon Kim),마지우(Jiou Ma),이인혁(Inhyeok Lee),김동규(Dongkyu Kim),강태원(Taewon Kang) 한국정보기술학회 2021 Proceedings of KIIT Conference Vol.2021 No.11
본 논문에서는 로지스틱 회귀 분류기를 이용한 지원자의 두뇌 우성 분류에 관해 연구한다. 헤르만 사분면 (Herrmann Quadrants)에 따라 자기소개서를 사분면 각각의 특성에 맞춰 구분한 뒤, 각 자기소개서가 포함하는 특정 단어의 빈도와 비율을 계산하여 분류기를 학습시킨다. 학습된 분류기를 이용해 자기소개서를 작성한 지원자의 성향을 판단하고, 이를 통해 기업에서는 본인들이 원하는 성향을 지닌 지원자를 쉽게 찾음으로써, 채용비용을 절감할 수 있는 방향을 제시한다. In this paper, we study the judgement of applicant’s disposition using a Logistic Regression. We classify cover letter according to the characteristics of each of the ‘Herrmann Quadrants’, then, we calculate the frequency and proportion of specific words each of which contains, and train the classifier with this. We can judgement of applicant"s disposition using this classifier. And through this result, the enterprise can find applicant easily who have better disposition that they wants. And finally, this suggests a way to reduce hiring costs.