• Language and Information
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• v.10 no.1
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• pp.71-91
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• 2006

The linguistic characteristics of a sign language provide an important clue for an automatic construction of its expression from a given natural language sentence. For such characterization, we focus on the identification of elided constituents, the mapping of property-changing information into spatio-temporal dimension, and the need for rearranging the order of component information for enhanced quality of delivery. We use our characterization to implement a system that converts sentences in Korean into corresponding expressions in the Korean Sign Language.

• Annual Conference of KIPS
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• 2005.11a
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• pp.113-116
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• 2005

엔터티는 데이터 모델링에서 가장 중요한 요소라고 할 수 있다. 엔터티를 우리말로는 '실체(實體)'라고 번역하고 있다. 말 그대로 '실질적으로 육체를 가지고 있는 것'을 의미한다. 만약 이 실체가 모호하다면 그 다음 과정이 아무리 완벽하다고 하더라도 모델링은 전체가 모호한 모습일 수밖에 없다. 이 논문에서는 엔터티를 보다 쉽게 도출하고 전략적인 판단을 해 가는 구체적인 단계와 객관적인 판단의 근거를 매우 상세하게 설명할 것이다. 엔터티는 매우 명확하게 표현해야 한다. 이처럼 데이터 모델링에서는 실체 집합인 '엔터티'를 정확하게 도출할 수 있는 것이 무엇보다도 중요하다. 잘못된 실체를 가지고 아무리 집을 지어본들 그것은 단지 사상누각에 불과 하다. 본 연구에서는 데이터베이스 엔터티 각 각의 표현 방법에 대해서 연구함으로써, 데이터 모델을 보다 정밀하게 표현할 수 있고, 남들이 모델을 좀 더 정확하게 이해하는데 기여할 수 있다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.9 no.11
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• pp.4469-4482
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• 2015

In this paper, we investigate the outage performance of a two-way decode-and-forward relaying network in an interference-limited Nakagami-m fading environment. More specifically, assuming the presence of Nakagami-m faded multiple co-channel interferers at the source/destination terminals, the closed-form approximate expression for the outage probability is derived by using moment-based estimators attaining the appropriate Nakagami-m fading parameter. Simulation results demonstrate that our analytical result is in excellent agreement with the Monte Carlo simulation.

• The Transactions of the Korean Institute of Electrical Engineers D
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• v.50 no.3
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• pp.149-157
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• 2001

In the video retrieval system, visual clues of still images and motion information of video are employed as feature vectors. We generate the temporal textures to express the motion information whose properties are simple expression, easy to compute. We make those temporal textures of wavelet coefficients to express motion information, M components. Then, temporal texture feature vectors are extracted using spatial texture feature vectors, i.e. spatial gray-level dependence. Also, motion amount and motion centroid are computed from temporal textures. Motion trajectories provide the most important information for expressing the motion property. In our modeling system, we can extract the main motion trajectory from the temporal textures.

• Journal of the Korea Society of Computer and Information
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• v.20 no.9
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• pp.39-45
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• 2015

Along with the advance of digital technology, various methods are adopted for capturing the 3D animating data. Especially, in 3D animation production market, the motion capture system is widely used to make films, games, and animation contents. The technique quickly tracks the movements of the actor and translate the data to use as animating character's motion. Thus the animation characters are able to mimic the natural motion and gesture, even face expression. However, the conventional motion capture system needs tricky conditions, such as space, light, number of camera etc. Furthermore the data acquired from the motion capture system is frequently corrupted by noise, drift and surrounding environment. In this paper, we introduce the post production techniques to stabilizing the jitters of motion capture data from the low cost handy system based on Kinect.

• ETRI Journal
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• v.35 no.2
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• pp.336-339
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• 2013

To enhance the symbol error rate (SER) performance of the two-way relay channels with physical layer network coding, this letter proposes a relay selection scheme, in which the relay with the maximal minimum distance between different points in its constellation among all relays is selected to assist two-way transmissions. We give the closed-form expression of minimum distance for binary phase-shift keying and quadrature phase-shift keying. Additionally, we design a low-complexity method for higher-order modulations based on look-up tables. Simulation results show that the proposed scheme improves the SER performance for two-way relay networks.

• Journal of the Korean Institute of Intelligent Systems
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• v.11 no.9
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• pp.822-826
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• 2001

The statistical analysis of the feature extraction and the neural networks are proposed to recognize a human face. In the preprocessing step, the normalized skin color map with Gaussian functions is employed to extract the region of face candidate. The feature information in the region of the face candidate is used to detect the face region. In the recognition step, as a tested, the 120 images of 10 persons are trained by the backpropagation algorithm. The images of each person are obtained from the various direction, pose, and facial expression. Input variables of the neural networks are the geometrical feature information and the feature information that comes from the eigenface spaces. The simulation results of 10 persons show that the proposed method yields high recognition rates.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2013.05a
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• pp.210-212
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• 2013

The construction cost estimates during the design phase becomes the standard to judge profitability and validity, and is very important in various decision-makings by project owner. However, since approximate costs are quoted when many parts are undecided in the early stage of project, differences are bound to occur between the construction cost calculated through approximate quotation and that put into construction actually. Also, since in existing quotation works, quantity calculations have been dependent on the staff's manual work, involving error potential, and thus differences are likely in quantity calculation depending on the quotation staff's method of calculation. In this study, the process of creating space model to deduce 3D geometry information for approximate quotation in association with knowledge information and the expression for calculation of finishing area were proposed.

• Journal of Multimedia Information System
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• v.8 no.2
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• pp.85-92
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• 2021

In a face, there is much information of person's identity. Because of this property, various tasks such as expression recognition, identity recognition and deepfake have been actively conducted. Most of them use the exact frontal view of the given face. However, various directions of the face can be observed rather than the exact frontal image in real situation. The profile (side view) lacks information when comparing with the frontal view image. Therefore, if we can generate the frontal face from other directions, we can obtain more information on the given face. In this paper, we propose a combined style model based the conditional generative adversarial network (cGAN) for generating the frontal face from multi-view images that consist of characteristics that not only includes the style around the face (hair and beard) but also detailed areas (eye, nose, and mouth).

• Annual Conference of KIPS
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• 2011.11a
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• pp.351-354
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• 2011

This paper discusses on facial features extraction based on proposed skin color model. Different parts of face from input image are segmented based on skin color model. Moreover, this paper also discusses on concept to detect the eye and mouth position on face. A height and width ratio (${\delta}=1.1618$) based technique is also proposed to accurate detection of face region from the segmented image. Finally, we have cropped the desired part of the face. This exactly exacted face part is useful for face recognition and detection, facial feature analysis and expression analysis. Experimental results of propose method shows that the proposed method is robust and accurate.