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임종인(Jongin Lim),최진영(Jin Young Choi) 대한전자공학회 2018 대한전자공학회 학술대회 Vol.2018 No.6
In this paper, we propose a deep generative model for human pose transform. A variational inference model is formulated to disentangle human posture from image identity and to change posture arbitrarily while preserving image identity. Then, we designed a deep learning architecture to realize the formulated inference model. A novel training method is introduced so that the posture and the identity be disentangled completely. We validated by showing its transforming capability through the experiments.
임종인(Jongin Lim),최진영(Young Choi) 대한전자공학회 2017 대한전자공학회 학술대회 Vol.2017 No.6
This paper proposes a novel deep generative model for human pose transform. To generate the desired images, a variational inference model is formulated to disentangle human posture from the identity of the image on latent space. Then a deep learning architecture is proposed to realize the formulated inference model. In addition, a new objective function for training is introduced so that the posture and the identity be separated completely. The proposed model is validated by showing its transforming capability through the experiments.
임종인(Jongin Lim),허병호(Byeongho Heo),최진영(Jin Young Choi) 대한전자공학회 2016 대한전자공학회 학술대회 Vol.2016 No.6
This paper proposes a flower detection scheme that can be used for an orchard automation system with small amount of training data. Inspired by the basic structure of a flower surrounded by petals, we design the algorithm combining three different filters: Petal Filter, Center Filter, and Saliency Filter. The filters exploit features of color, and enable the system to detect flowers based on a center-surround difference. Our algorithm has been tested in the real world. The resulting system shows robust performance to illumination changes and deformation of flowers with low computational loads.
Optofluidic platforms based on surface-enhanced Raman scattering
Lim, Chaesung,Hong, Jongin,Chung, Bong Geun,deMello, Andrew J.,Choo, Jaebum Royal Society of Chemistry 2010 The Analyst Vol.135 No.5
<P>We report recent progress in the development of surface-enhanced Raman scattering (SERS)-based optofluidic platforms for the fast and sensitive detection of chemical and biological analytes. In the current context, a SERS-based optofluidic platform is defined as an integrated analytical device composed of a microfluidic element and a sensitive Raman spectrometer. Optofluidic devices for SERS detection normally involve nanocolloid-based microfluidic systems or metal nanostructure-embedded microfluidic systems. In the current review, recent advances in both approaches are surveyed and assessed. Additionally, integrated real-time sensing systems that combine portable Raman spectrometers with microfluidic devices are also reviewed. Such real-time sensing systems have significant utility in environmental monitoring, forensic science and homeland defense applications.</P> <P>Graphic Abstract</P><P>We report recent progress in the development of surface-enhanced Raman scattering-based optofluidic platforms for the fast and sensitive detection of chemical and biological analytes. <IMG SRC='http://pubs.rsc.org/services/images/RSCpubs.ePlatform.Service.FreeContent.ImageService.svc/ImageService/image/GA?id=b919584j'> </P>
능동소음제어 성능향상을 위한 탑승자 위치 기반 2차 경로 모델링 컨셉 연구
임형섭(HyungSub Lim),정종인(JongIn Jung),장세영(SeYeong Jang) 한국자동차공학회 2018 한국자동차공학회 학술대회 및 전시회 Vol.2018 No.11
In this paper we present secondary path modeling based on occupants position for active noise control system. In most ANC systems, the secondary path filters are constructed by designing the system without considering the position of the occupants in the modeling of the secondary path. The disadvantage of such a system is that the convergence of noise control is impaired when the occupant"s position changes from the optimal position designed for secondary path modeling. To avoid this issue, this thesis allows optimal feedback to be provided to occupants by considering the location of the occupants in the secondary route modeling and configuring the active noise control system by referring to the various secondary routes designed for this purpose. Experimentation with modeling and simulation using the proposed method has shown that the convergence performance of active noise control systems is improved.
임형섭(Hyungsub Lim),정종인(Jongin Jung),장세영(Seyeong Jang) 한국자동차공학회 2019 한국자동차공학회 부문종합 학술대회 Vol.2019 No.5
In this paper, we present a secondary path modeling method based on the number of occupants in the vehicle when we construct an active noise control system. In most ANC systems, a system that is not optimized for the number of occupants is designed and constructed when modeling the secondary path. The disadvantages of these systems are that the convergence performance of active noise control will decrease as the number of occupants changes and the risk of a loud bang noise may also be increased. To avoid these problems, we propose a method to change the number of occupants to measure the correct secondary path and activate active noise control with a system optimized for the number of occupants. We can confirm that an improved active noise control system configuration is possible through modeling and simulation experiments using the proposed method.
( Hwankuk Kim ),( Kyungho Lee ),( Jongin Lim ) 한국인터넷정보학회 2017 KSII Transactions on Internet and Information Syst Vol.11 No.9
The measurement of information security levels is a very important but difficult task. So far, various measurement methods have studied the development of new indices. Note, however, that researches have focused on the problem of attaining a certain level but largely neglecting research focused on the issue of how different types of possible flaws in security controls affect each other and which flaws are more critical because of these effects. Furthermore, applying the same weight across the board to these flaws has made it difficult to identify the relative importance. In this paper, the interrelationships among security flaws that occurred in the security controls of K-ISMS were analyzed, and the relative impact of each security control was measured. Additionally, a case-control study was applied using empirical data to eliminate subjective bias as a shortcoming of expert surveys and comparative studies. The security controls were divided into 2 groups depending on whether or not a security flaw occurs. The experimental results show the impact relationship and the severity among security flaws. We expect these results to be applied as good reference indices when making decisions on the removal of security flaws in an enterprise