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대화형 SNS를 구현하기 위한 실시간 립싱크 및 표정 생성 시스템 연구
한성호(SungHo Han),최미임(MiIm Choi),조형제(HyungJe Cho) 한국애니메이션학회 2011 애니메이션연구 Vol.7 No.2
대화형 SNS(Social Network Service)는 기존의 채팅 위주의 SNS가 아닌 음성으로 온라인상에서 실시간 커뮤니케이션이 구현될 수 있는 새로운 개념의 SNS의 한 형태이다. 본 연구는 대화형 SNS에서 구현되는 오프라인(Off-line)에서 존재하는 실제 사람(유저)의 다양한 표정 및 음성을 가상공간 내의 사이버 3D 캐릭터(아바타)가 실시간으로 따라하는 립싱크 애니메이션(Lip-sync Animation) 및 표정 애니메이션(Facial Animation)을 구현시켜 주는 시스템을 연구하였다. 이 시스템은 온라인상의 캐릭터가 현실세계(오프라인)상의 실제 사람이 느끼고 있는 감정이 표현된 표정이나 말하고 있는 입의 모양 등을 화면으로 캡처해서 영상처리(Image Processing)하는 것이 아닌 음성 및 의미를 순수하게 음성처리(Sound Processing)를 통해 실시간으로 구현하는 방법이다. 이를 구현하기 위해 실제 사람이 소리를 내기 위해서 입모양을 변형할 때 입술이 바로 움직일 수 없는 점에 착안하여 가상공간에서도 3D캐릭터의 입술모양을 만들 때 3차원 도형 간의 변형을 조절하는 변수에 관성의 법칙(The Law of Inertia)을 적용하였다. 또한 3D캐릭터의 입모양의 변형을 자연스럽게 하기 위하여 일반적인 몰핑개념에 물리적인 3D 객체 혼합기(Object Blender)를 적용하였다. 사람과 유사한 발음(Sound) 모양을 내기 위한 간략한 방법으로는 먼저, 사용자가 말을 하게 되면 그 말을 음성인식을 통해 문자 정보를 얻어오고 립싱크 및 얼굴 표정데이터에서 원본 객체(Object)와 대상 객체(Object)를 섞기 위한 준비(몰핑 데이터 준비)를 한 다음 마지막으로 문자에 맞게 캐릭터의 입모양과 표정을 연출하며 음성합성으로 문자를 소리로 변환하여 발성시킨다. 상기의 방법 등을 통해 구현된 립싱크 및 표정 생성 시스템은 일반인들에게 감동과 깊은 인상을 줄 뿐만 아니라 정보를 전달하는데 있어 훨씬 용이하며 앞으로 대중화될 대화형 SNS나 SNG 등에서 다양한 형태로 활용되고 구현될 것이다. Dialogue Social Network Service (SNS) is not a traditional SNS utilizing chatting, but an advanced form of SNS utilizing real-time voice communication over the Internet. The aim of this study is to study the real-time lip-sync and facial animation making system, a system of lip-sync animation and facial animation that would enable cyber 3D characters to mimick the offline users’ voice and facial movement, in dialogue SNS. The real-time lip-sync and facial making system is a system which enable cyber 3D characters to mimick the offline users’ voice and facial movement through sound processing, not by image processing. In order to make it real, the law of inertia was applied when the lip animation of a 3D character. The physical 3D Object Blender was applied to general morphing concept to make the change smoother. In order to make similar sounds to humans, in real-time lip-sync and facial making system, first it prints out the saved data after receiving occurred letter information. Then, do the facial signal process, and prepare to mix original object with objective object. Finally, stage the character’s facial animation. The real-time lip-sync and facial making system explained above is easier to transfer the information, gives better impressions to general public, and is expected to be used more when it comes to real-time voice communication. The purpose of this study is to explore real-time lip-sync and facial making system in which cyber characters deliver lip-sync-animation, synchronization of facial expressions and voice of real people in real-time at off-line. Lipsync-animation delivered by impersonated movement, facial expressions and voice of 3D cyber characters provide the public with greater impressions and easier access to the information by making the images more real than 2D images. Therefore, it will be a lot easier to make Real-Time Lip-sync and Facial Making System public in the form of SNS (Social Network Service).
Han, Jin Kyu,Kim, Sungho,Jang, Seunghun,Lim, Yi Rang,Kim, Sang-Woo,Chang, Hyunju,Song, Wooseok,Lee, Sun Sook,Lim, Jongsun,An, Ki-Seok,Myung, Sung Elsevier 2019 Nano energy Vol.61 No.-
<P><B>Abstract</B></P> <P>Piezoelectric two-dimensional (2D) transition-metal dichalcogenides such as molybdenum disulfide (MoS<SUB>2</SUB>) have recently attracted significant attention owing to their applicability for fabrication of flexible power generators. In this study, novel piezoelectric nanogenerators (PNGs) consisting of 2D piezoelectric MoS<SUB>2</SUB> shells are fabricated where an Al<SUB>2</SUB>O<SUB>3</SUB> thin layer deposited on the surface of polystyrene (PS) beads is used to avoid collapse of the spherical MoS<SUB>2</SUB> shells under the high growth temperature. In addition, the MoS<SUB>2</SUB> shell size is controlled by adjusting the PS bead size and the effects of the MoS<SUB>2</SUB> shell size on power generation characteristics are investigated. Our PNG based on the piezoelectric MoS<SUB>2</SUB> shells produces a peak output voltage of approximately 1.2 V at a pressure of 4.2 kPa. The minimum pressure for power generation by tapping is 0.3 kPa. This novel method is very promising for development of the next-generation PNGs based on 2D semiconductor piezoelectric materials.</P> <P><B>Highlights</B></P> <P> <UL> <LI> Novel piezoelectric nanogenerators (PNGs) consisting of 2D piezoelectric MoS<SUB>2</SUB> shells were fabricated. </LI> <LI> The effect of the MoS<SUB>2</SUB> shell size on power generation characteristics was investigated. </LI> <LI> The output voltage of 1.2 V was measured under the pressure of 4.2 kPa by using MoS<SUB>2</SUB> shell-based PNGs. </LI> <LI> High-power generation properties and nonlinear hysteresis behavior were observed for the micrometer-scale MoS<SUB>2</SUB> shells. </LI> </UL> </P> <P><B>Graphical abstract</B></P> <P>[DISPLAY OMISSION]</P>
한상윤,강성호 연세대학교 산업기술연구소 1996 논문집 Vol.28 No.1
Due to the increases in the size and complexity of circuits to be tested, reducing test time and improving fault coverage are major problems in the testing. To overcome these problems, several heuristics and techniques aiming at a further improvement of ATPG are presented. An efficient algorithm is developed using an improved learning technique to achieve high fault coverage and test compaction technique is used to reduce test pattern length. Several experiments using ISCAS 85 benchmark circuits demonstrate the efficiency of this system.
TRRUST v2: an expanded reference database of human and mouse transcriptional regulatory interactions
Han, Heonjong,Cho, Jae-Won,Lee, Sangyoung,Yun, Ayoung,Kim, Hyojin,Bae, Dasom,Yang, Sunmo,Kim, Chan Yeong,Lee, Muyoung,Kim, Eunbeen,Lee, Sungho,Kang, Byunghee,Jeong, Dabin,Kim, Yaeji,Jeon, Hyeon-Nae,Ju Oxford University Press 2018 Nucleic acids research Vol.46 No.d1
<P><B>Abstract</B></P><P>Transcription factors (TFs) are major <I>trans</I>-acting factors in transcriptional regulation. Therefore, elucidating TF–target interactions is a key step toward understanding the regulatory circuitry underlying complex traits such as human diseases. We previously published a reference TF–target interaction database for humans—TRRUST (Transcriptional Regulatory Relationships Unraveled by Sentence-based Text mining)—which was constructed using sentence-based text mining, followed by manual curation. Here, we present TRRUST v2 (www.grnpedia.org/trrust) with a significant improvement from the previous version, including a significantly increased size of the database consisting of 8444 regulatory interactions for 800 TFs in humans. More importantly, TRRUST v2 also contains a database for TF–target interactions in mice, including 6552 TF–target interactions for 828 mouse TFs. TRRUST v2 is also substantially more comprehensive and less biased than other TF–target interaction databases. We also improved the web interface, which now enables prioritization of key TFs for a physiological condition depicted by a set of user-input transcriptional responsive genes. With the significant expansion in the database size and inclusion of the new web tool for TF prioritization, we believe that TRRUST v2 will be a versatile database for the study of the transcriptional regulation involved in human diseases.</P>