• 한국멀티미디어학회논문지
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• 제24권9호
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• pp.1279-1284
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• 2021

This paper addresses the task of transferring facial blendshape models to an arbitrary target face. Blendshape is a common method for the facial rig; however, production of blendshape rig is a time-consuming process in the current facial animation pipeline. We propose automatic blendshape facial rigging based on our blendshape transfer method. Our method computes the difference between source and target facial model and then transfers the source blendshape to the target face based on a deformation transfer algorithm. Our automatic method provides efficient production of a controllable digital human face; the results can be applied to various applications such as games, VR chating, and AI agent services.

• 복식
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• 제67권4호
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• pp.58-70
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• 2017

This study examined the characteristics of generative design methodology, and it selected and analyzed 11 sites that provide design development services using generative methodology, INPUT data were classified into design form factor based on the choices of each and the variable form associated with each participant's movement. In designing the algorithms, designers set the meth- od and range of participation according to the characteristics of the design, and linked them with design components. This provided the study with a discriminative design process. This resulted in a type with morphological characteristics and a type that emphasized epidermal formability. The generative design methodology has value as an alternative process in the field of fashion where the utilization of digital technology is becoming universal based on contingency and variability. The results of this study can be used as basic data for the study of personalized design through the extension of methodology of digital-based fashion design and generative methodology.

• 약학회지
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• 제36권3호
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• pp.230-240
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• 1992

The metabolic profile of doxylamine, N,N-dimethyl-2-[1-phenyl-1-(2-pyridinyl)ethoxy] ethanamine, was determined in the human urine. The free fractions of extracts were obtained without hydrolysis, and the conjugated fractions of extracts were obtained with enzyme hydrolysis using ${\beta}-glucuronidase/arylsulfatase$ from Helix pomatia. The mixture of acetic anhydride/pyridine (10 : 1, v : v) was used to derivatize the urinary extracts and then analyzed by gas chromatography and mass selective detector. N-desmethyldoxylamine, doxylamine carboxylic acid, desaminohydroxydoxylamine, N, N-didesmethyldoxylamine, N-acetyl conjugates of N-desmethyl and N, N-didesmethyldoxylamine, quarternary ammonium N-glucuronide of doxylamine, N-desmethyldoxylamine N-glucuronide and unchanged doxylamine were detected in the human urine obtained after oral treatment with doxylamine succinate. $N-methyl-{\alpha}-hydroxy-2-[1-phenyl-1-(2-pyridinyl)$ ethoxy] ethanamine, which can be a key intermediate of this metabolism, was tentatively identified by the interpretation of its mass spectrum. In this study, we proposed the metabolic pathway of doxylamine in the human on the basis of our data of the identified metabolites of doxylamine.

• 인터넷정보학회논문지
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• 제21권5호
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• pp.21-29
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• 2020

Accurate estimation of human pose relies on backbone method in which its role is to extract feature map. Up to dated, the method of backbone feature extraction is conducted by the plain convolutional neural networks named by CNN and the residual neural networks named by Resnet, both of which have various architectures and performances. The CNN family network such as VGG which is well-known as a multiple stacked hidden layers architecture of deep learning methods, is base and simple while Resnet which is a bottleneck layers architecture yields fewer parameters and outperform. They have achieved inspired results as a backbone network in human pose estimation. However, they were used then followed by different pose estimation networks named by pose parsing module. Therefore, in this paper, we present a comparison between the plain CNN family network (VGG) and bottleneck network (Resnet) as a backbone method in the same pose parsing module. We investigate their performances such as number of parameters, loss score, precision and recall. We experiment them in the bottom-up method of human pose estimation system by adapted the pose parsing module of openpose. Our experimental results show that the backbone method using VGG network outperforms the Resent network with fewer parameter, lower loss score and higher accuracy of precision and recall.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제6권1호
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• pp.39-46
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• 2006

We propose an global color model based method for tracking motions of multiple human using a networked multiple-camera system in intelligent space as a human-robot coexistent system. An intelligent space is a space where many intelligent devices, such as computers and sensors(color CCD cameras for example), are distributed. Human beings can be a part of intelligent space as well. One of the main goals of intelligent space is to assist humans and to do different services for them. In order to be capable of doing that, intelligent space must be able to do different human related tasks. One of them is to identify and track multiple objects seamlessly. In the environment where many camera modules are distributed on network, it is important to identify object in order to track it, because different cameras may be needed as object moves throughout the space and intelligent space should determine the appropriate one. This paper describes appearance based unknown object tracking with the distributed vision system in intelligent space. First, we discuss how object color information is obtained and how the color appearance based model is constructed from this data. Then, we discuss the global color model based on the local color information. The process of learning within global model and the experimental results are also presented.

• 한국산업융합학회 논문집
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• 제22권1호
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• pp.39-45
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• 2019

We propose an active color model based method for tracking motions of multiple human using a networked multiple-camera system in IoT space as a human-robot coexistent system. An IoT space is a space where many intelligent devices, such as computers and sensors(color CCD cameras for example), are distributed. Human beings can be a part of IoT space as well. One of the main goals of IoT space is to assist humans and to do different services for them. In order to be capable of doing that, IoT space must be able to do different human related tasks. One of them is to identify and track multiple objects seamlessly. In the environment where many camera modules are distributed on network, it is important to identify object in order to track it, because different cameras may be needed as object moves throughout the space and IoT space should determine the appropriate one. This paper describes appearance based unknown object tracking with the distributed vision system in IoT space. First, we discuss how object color information is obtained and how the color appearance based model is constructed from this data. Then, we discuss the global color model based on the local color information. The process of learning within global model and the experimental results are also presented.

• International Journal of Computer Science & Network Security
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• 제23권8호
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• pp.146-158
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• 2023

Smart City is gaining attention with the advancement of Information and Communication Technology (ICT). ICT provides the basis for smart city foundation; enables us to interconnect all the actors of a smart city by supporting the provision of seamless ubiquitous services and Internet of Things. On the other hand, Crowdsourcing has the ability to enable citizens to participate in social and economic development of the city and share their contribution and knowledge while increasing their socio-economic welfare. This paper proposed a hybrid model which is a compound of human computation, machine computation and citizen crowds. This proposed hybrid model uses knowledge-based crowdsourcing that captures collaborative and collective intelligence from the citizen crowds to form democratic knowledge space, which provision solutions in areas of civic innovations. This paper also proposed knowledge-based crowdsourcing framework which manages knowledge activities in the form of human computation tasks and eliminates the complexity of human computation task creation, execution, refinement, quality control and manage knowledge space. The knowledge activities in the form of human computation tasks provide support to existing crowdsourcing system to align their task execution order optimally.

• Ecology and Resilient Infrastructure
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• 제2권1호
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• pp.1-11
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• 2015

자연생태계와 인간사회의 공통적인 이익을 위한 생태공학 기술의 필요성이 대두되고 있다. 응용생태공학회가 설립되어 생태공학 분야의 연구와 기술개발에 기여하고 있는데, 생태공학분야 인력 양성에 필수적인 교육의 목표나 내용은 체계가 잡혀있지 못하다. 2015년 응용생태공학 포럼-'생태공학 교육의 터잡기'에서 생태공학 교육의 국제적 동향과 국내 실정에 대해 발제하고 토의한 내용을 중심으로 정리하였다. 생태공학 교육은 인간에 의해 교란된 생태계를 지속가능하도록 복원시킴과 아울러 인간과 생태계의 공동이익을 추구하는 새로운 지속가능한 생태계를 설계 운영할 수 있는 인력을 양성할 수 있어야 한다. 생태공학이 직면하게 될 세 가지의 도전에 대응할 수 있는 교육이 되어야 한다. 인간과 생태계의 공동 이익이라는 목표에서 인간사회와 자연 사이의 균형을 어떻게 정의할 것인가 하는 윤리적 도전, 유관학문 분야는 물론 산업, 정책, 교육, 훈련의 융화를 꾀하는 관계적 도전, 마지막으로 생태학과 공학뿐 아니라 사회과학과 인문과학이 소통하여 융합하는 지적 도전을 극복할 수 있는 교과과정이어야 한다. 이를 위해 생태학과 생태공학을 중심으로 하는 핵심교과목의 하위에 자연과학과 공학 기초과목을 두어 학부과정에 편성하고, 상위에 전공학문 별로 심화된 핵심교과목을 두어 대학원과정으로 편성하는 것이 필요하다.

• 한국식품영양과학회지
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• 제34권3호
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• pp.311-316
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• 2005

5℃의 저장 온도에서 열무김치와 열무물김치의 발효 특성 및 항암효과를 검토하였다. 열무김치는 발효 2-3주일 째에 김치 적숙기의 pH에 도달하였으며, 이 때 산도는 1.04-1.27%의 높은 값을 나타내었다. 열무물김치의 발효는 빠르게 진행되어 발효 9일째에 적숙기 pH 4.3까지 감소하였으며, 이때의 pH와의 관계에서 산도는 0.20%로 낮은 값을 나타내는 특징을 보였다. 열무김치와 열무물김치의 젖산균수의 성장변화는 발효기간 중 서로 다른 양상을 나타내었다 발효기간 중 열무물김치에 비해 열무김치의 젖산균수가 pH 변화에 많은 영향을 받았으며, 열무물김 치는 발효기간 중의 발효초기 pH범위에서부터 높은 Lactobacillus sp.균수를 나타내는 특징을 보였다. 열무와 열무김치 및 열무물김치의 AGS인체 위암세포에 대한 성장 억제 효과는 모든 즙액 시료는 농도 의존적으로 인체 위암 세포의 성장을 억제하는 효과를 나타내었다. 첨가 농도 20μL/assay에서 는 열무 및 열무김치즙액 시료는 50% 이상의 높은 암세포 성 장 효과를 나타내었지만, 열무물김치 즙액은 낮은 성장 저해율을 나타내었다. 열무김치와 배추김치의 AGS 인체 위암 세포와 HT-29 결장암 세포에 대한 성장억제 효과는 전체적으로 열무김치 배추김치는 서로 비슷한 정도의 항암효과를 나타냄을 알 수 있었다.

• 한국생활과학회지
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• 제19권3호
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• pp.523-536
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• 2010

This study analyzed the effects of demographic factors and sensory experiences of customers on customer satisfaction, using data from 302 customers in the Pusan, Ulsan, and Kyungnam areas who have visited family restaurants within 3 month period prior to the study. This study defined the sub-factors of sensory experience as vision, sound, smell, taste, and touch, and defined the sub-factors of customer satisfaction as main services, supplementary facilities, services related to sales promotion, served food, and the location of a restaurant. The study revealed that each evaluation score of the sub-factors of sensory experience and each evaluation score of the sub-factors of customer satisfaction was a little higher than the middle score. Respondents evaluated taste as the highest score among the sub-factors of sensory experience and evaluated main services as the highest score among the sub-factors of customer satisfaction. In terms of the effects of the sub-factors of sensory experiences and demographic factors on overall customer satisfaction, more positive taste experience, vision experience, and sound experience led to higher overall customer satisfaction and the married group in terms of marital state gave higher evaluation scores on overall customer satisfaction than the counterpart. In terms of the effects of the sub-factors of sensory experiences and demographic factors on individual customer satisfaction, consumers' sensory experiences were shown to exert far greater influences than the demographic variables.