http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
Transfer Learning based Parameterized 3D Mesh Deformation with 2D Stylized Cartoon Character
Sanghyun Byun,Bumsoo Kim,신원섭,Yonghoon Jung,Sanghyun Seo 한국인터넷정보학회 2023 KSII Transactions on Internet and Information Syst Vol.17 No.11
As interest in the metaverse has grown, there has been a demand for avatars that can represent individual users. Consequently, research has been conducted to reduce the time and cost required for the current 3D human modeling process. However, the recent automatic generation of 3D humans has been focused on creating avatars with a realistic human form. Furthermore, the existing methods have limitations in generating avatars with imbalanced or unrealistic body shapes, and their utilization is limited due to the absence of datasets. Therefore, this paper proposes a new framework for automatically transforming and creating stylized 3D avatars. Our research presents a definitional approach and methodology for creating non-realistic character avatars, in contrast to previous studies that focused on creating realistic humans. We define a new shape representation parameter and use a deep learning–based method to extract character body information and perform automatic template mesh transformation, thereby obtaining non-realistic or unbalanced human meshes. We present the resulting outputs visually, conducting user evaluations to demonstrate the effectiveness of our proposed method. Our approach provides an automatic mesh transformation method tailored to the growing demand for avatars of various body types and extends the existing method to the 3D cartoon stylized avatar domain.
Dynamic ID randomization for user privacy in mobile network
Arijet Sarker(Arijet Sarker ),SangHyun Byun(SangHyun Byun),Manohar Raavi(Manohar Raavi ),Jinoh Kim(Jinoh Kim),Jonghyun Kim(Jonghyun Kim),Sang-Yoon Chang(Sang-Yoon Chang) 한국전자통신연구원 2022 ETRI Journal Vol.44 No.6
Mobile and telecommunication networking uses temporary and random identifiers (IDs) to protect user privacy. For greater intelligence and security o the communications between the core network and the mobile user, we design and build a dynamic randomization scheme for the temporary IDs for mobile networking, including 5G and 6G. Our work for ID randomization (ID-RZ) advances the existing state-of-the-art ID re-allocation approach in 5G in the following ways. First, ID-RZ for ID updates is based on computing, as opposed to incurring networking for the re-allocation-based updates, and is designed for lightweight and low-latency mobile systems. Second, ID-RZ changes IDs proactively (as opposed to updating based on explicit networking event triggers) and provides stronger security (by increasing the randomness and frequency of ID updates). We build on the standard cryptographic primitives for security (e.g., hash) and implement our dynamic randomization scheme in the 5G networking protocol to validate its design purposes, which include time efficiency (two to four orders of magnitude quicker than the re-allocation approach) and appropriateness for mobile applications.
Sanghyun Park,Byungkwan Song,Hoon Young Kong,Jonghoe Byun,Cheong-Soo Hwang 대한화학회 2014 Bulletin of the Korean Chemical Society Vol.35 No.4
In this study, water-dispersible ZnS:Mn nanocrystals were synthesized by capping the surface with conventional and simple structured amino acid ligands: L-Glycine and L-Alanine. The ZnS:Mn-Gly and ZnS:Mn-Ala nanocrystal powders were characterized by XRD, HR-TEM, EDXS, ICP-AES, and FT-IR spectroscopy. The optical properties were measured by UV-Visible and photoluminescence (PL) spectroscopy. The PL spectra for the ZnS:Mn-Gly and ZnS:Mn-Ala showed broad emission peaks at 599 nm and 607 nm with PL efficiencies of 6.5% and 7.8%, respectively. The measured average particle size from the HR-TEM images were 6.4 ± 0.8 nm (ZnS:Mn-Gly) and 4.1 ± 0.5 nm (ZnS:Mn-Ala), which were also supported by Debye-Scherrer calculations. In addition, the degree of aggregation of the nanocrystals in aqueous solutions were measured by a hydrodynamic light scattering method, which showed formation of sub-micrometer size aggregates for both ZnS:Mn-Gly (273 ± 94 nm) and ZnS:Mn-Ala (233 ± 34 nm) in water due to the intermolecular attraction between the capping amino acids molecules. Finally, the cytotoxic effects of ZnS:Mn-Gly and ZnS:Mn-Ala nanocrsystals over the growth of wild type E. coli were investigated. As a result, no toxicity was shown for the ZnS:Mn-Gly nanocrystal in the colloidal concentration region from 1 μg/mL to 1000 μg/mL, while ZnS:Mn- Ala showed significant toxicity at 100 μg/mL.
박상현(SangHyun Park),온병원(Byun-Won On) 한국정보기술학회 2022 Proceedings of KIIT Conference Vol.2022 No.12
알파고가 강화학습으로 인간을 이길 수 없다는 상식을 깨고 인간을 상대로 바둑을 이긴 사례에서 알 수 있듯 인공지능 기술은 게임 분야에서 매우 성공적이며, 알파고 성공의 가장 핵심적인 기술은 강화학습이다. 그러나 게임 분야에서 심층 강화학습이 인공지능 학습에 어떻게 활용되는지 조사해보니 대부분의 심층 강화학습 모델은 실시간 환경에 제대로 대처하지 못하는 것으로 나타났다. 본 논문에서는 실시간 환경에서 심층 강화학습 문제를 소개하고 향후 솔루션에 대해 자세히 논의한다. As we can see in the case that AlphaGo won Go game against humans, breaking common sense that it cannot beat humans through reinforcement learning, artificial intelligence technology are very successful in the game field, and the most core technology to the AlphaGo’s success is reinforcement learning. However, when we investigated how deep reinforcement learning is used to learn artificial intelligence in the game field, it turns out that most deep reinforcement learning models cannot properly cope with real-time environments. In this paper, we introduce deep reinforcement learning problems in real-time environments, and discuss future solutions in detail.
Park, Sanghyun,Song, Byungkwan,Kong, Hoon Young,Byun, Jonghoe,Hwang, Cheong-Soo Korean Chemical Society 2014 Bulletin of the Korean Chemical Society Vol.35 No.4
In this study, water-dispersible ZnS:Mn nanocrystals were synthesized by capping the surface with conventional and simple structured amino acid ligands: $\small{L}$-Glycine and $\small{L}$-Alanine. The ZnS:Mn-Gly and ZnS:Mn-Ala nanocrystal powders were characterized by XRD, HR-TEM, EDXS, ICP-AES, and FT-IR spectroscopy. The optical properties were measured by UV-Visible and photoluminescence (PL) spectroscopy. The PL spectra for the ZnS:Mn-Gly and ZnS:Mn-Ala showed broad emission peaks at 599 nm and 607 nm with PL efficiencies of 6.5% and 7.8%, respectively. The measured average particle size from the HR-TEM images were $6.4{\pm}0.8$ nm (ZnS:Mn-Gly) and $4.1{\pm}0.5$ nm (ZnS:Mn-Ala), which were also supported by Debye-Scherrer calculations. In addition, the degree of aggregation of the nanocrystals in aqueous solutions were measured by a hydrodynamic light scattering method, which showed formation of sub-micrometer size aggregates for both ZnS:Mn-Gly ($273{\pm}94$ nm) and ZnS:Mn-Ala ($233{\pm}34$ nm) in water due to the intermolecular attraction between the capping amino acids molecules. Finally, the cytotoxic effects of ZnS:Mn-Gly and ZnS:Mn-Ala nanocrsystals over the growth of wild type E. coli were investigated. As a result, no toxicity was shown for the ZnS:Mn-Gly nanocrystal in the colloidal concentration region from 1 ${\mu}g/mL$ to 1000 ${\mu}g/mL$, while ZnS:Mn-Ala showed significant toxicity at 100 ${\mu}g/mL$.