• Proceedings of the KAIS Fall Conference
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• 2006.11a
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• pp.199-202
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• 2006

RFID는 유비쿼터스 시스템을 실현할 수 있는 기본적 구성 요소이며, 최근 다양한 응용 분야가 개발되어 실제 적용분야가 점차 증가하고 있는 상황이다. RFID 시스템 확산의 가장 큰 문제점은 현실적으로 태그의 가격을 매우 싸게 만들어야 하는 것이고, 이를 해결하기 위하여 많은 업체들이 기술 개발에 전념하고 있다. RFID 시스템 중에서도 가장 큰 관심을 받고 있는 900MHz 대역의 규격인 ISO/IEC 18000-6에서는 새로이 형식 C가 추가되어 기존의 형식 A, B를 포함하여 모두 세 종류의 형식이 제안되었다. 이에 본 논문에서는 형식 C에 대한 규격을 분석하고, 이의 기능 블럭을 VHDL로 구현하였다. 규격에 제안된 것과 동일한 프레임을 구현하고 임의의 데이터를 가정한 후에 데이터 변조 방식으로서 사용되는 PIE와 FM0 변조 방식 등을 구현하고, 이를 송수신 함으로써 변복조가 정확히 구현되었음을 확인하였다.

• IE interfaces
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• v.2 no.2
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• pp.1-13
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• 1989

In this study, we have developed the personal computer-based industrial accident information management system(AIMS) which produces the industrial accident reports, various statistical reports and graphic charts such as pie, bar and trent charts. Recognizing the fact that computer systems are an integral part of today's business environment, the computerized industrial accident information management system serves as tools to help safety professionals accurately and rapidly obtain the information necessary to make decisions. The system can be used for the prevention of industrial accidents by early detection of potential hazards and by scientific and systematic analysis of causal factors.

• Nuclear Engineering and Technology
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• v.29 no.1
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• pp.7-14
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• 1997

Grain boundary diffusion plays a significant role in fission gas release, which is one of the crucial processes dominating nuclear fuel performance. Gaseous fission produce such as Xe and Kr generated during nuclear fission have to diffuse in the grain lattice and the boundary inside fuel pellets before they reach the open spaces in a fuel rod. These processes can be studied by 'tracer diffusion' techniques, by which grain boundary diffusivity can be estimated and directly used for low burn-up fission gas release analysis. However, only a few models accounting for the both processes are available and mostly handle them numerically due to mathematical complexity. Also the numerical solution has limitations in a practical use. In this paper, an approximate analytical solution in case of stationary grain boundary in a polycrystalline solid is developed for the tracer diffusion techniques. This closed-form solution is compared to available exact and numerical solutions and it turns out that it makes computation not only greatly easier but also more accurate than previous models. It can be applied to theoretical modelings for low bum-up fission gas release phenomena and experimental analyses as well, especially for PIE (post irradiation examination).

• Proceedings of the Korea Information Processing Society Conference
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• 2019.10a
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• pp.218-220
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• 2019

현대인들의 실내건강관리를 위해서 라즈베리파이에 DHT11센서를 이용하여 자동으로 실내 습도를 유지시키고 안드로이드 앱을 이용하여 수동으로 동작가능 하도록 구현하였다.

• Proceedings of the Korea Information Processing Society Conference
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• 2012.04a
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• pp.1204-1207
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• 2012

본 논문에서는 실행 중인 모듈 프로그램에 새로운 모듈의 삽입 및 제거가 가능한 사용자 수준 모듈 프레임워크(UMF: User-level Module Framework)를 제시한다. 제시한 UMF은 하나의 메인 모듈과 여러 개의 서브 모듈들로 구성되며 서브 모듈은 메인 모듈에 동적으로 삽입 및 제거된다. 제시한 UMF의 타당성을 검토하기 위하여 리눅스 환경에서 GCC 컴파일러의 PIE(Position Independent Executables)옵션을 이용하여 사용자 수준의 메인 모듈과 서브 모듈을 생성하여 동적 삽입 및 제거 기능을 실험한다.

• Journal of Information Processing Systems
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• v.17 no.2
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• pp.399-410
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• 2021

Aiming at the problem that complex external variables in natural scenes have a greater impact on facial expression recognition results, a facial expression recognition method based on two-stream convolutional neural network is proposed. The model introduces exponentially enhanced shared input weights before each level of convolution input, and uses soft attention mechanism modules on the space-time features of the combination of static and dynamic streams. This enables the network to autonomously find areas that are more relevant to the expression category and pay more attention to these areas. Through these means, the information of irrelevant interference areas is suppressed. In order to solve the problem of poor local robustness caused by lighting and expression changes, this paper also performs lighting preprocessing with the lighting preprocessing chain algorithm to eliminate most of the lighting effects. Experimental results on AFEW6.0 and Multi-PIE datasets show that the recognition rates of this method are 95.05% and 61.40%, respectively, which are better than other comparison methods.

• Journal of Korea Multimedia Society
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• v.21 no.12
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• pp.1467-1472
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• 2018

For the problem that the face image of surveillance video cannot be accurately identified due to the low resolution, this paper proposes a low resolution face recognition solution based on convolutional neural network model. Convolutional Neural Networks (CNN) model for multi-scale input The CNN model for multi-scale input is an improvement over the existing "two-step method" in which low-resolution images are up-sampled using a simple bi-cubic interpolation method. Then, the up sampled image and the high-resolution image are mixed as a model training sample. The CNN model learns the common feature space of the high- and low-resolution images, and then measures the feature similarity through the cosine distance. Finally, the recognition result is given. The experiments on the CMU PIE and Extended Yale B datasets show that the accuracy of the model is better than other comparison methods. Compared with the CMDA_BGE algorithm with the highest recognition rate, the accuracy rate is 2.5%~9.9%.

• Journal of Information Technology Services
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• v.17 no.4
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• pp.139-150
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• 2018

This paper investigated the human distribution in subway station areas in Seoul, using geotweets and subway ridership data. Eight stations were selected from the districts of Gangnam and Gangbuk. Geotweets located within a 600-meter radius of the central coordinates of each station were extracted, and distances between the center of station and each tweet location were calculated. Donut-shaped dimension and pie-shaped dimension were generated, using the Haversine distance formula and the Azimuth angle formula respectively. By combining the two dimensions, Dartboard-shaped space division is created. Popular places within the subway station areas identified from this research are almost the same as the current well-known popular places, and this is an important case showing that people send tweets from various places where they engage in daily activities. We expect this study can be a methodological guideline for social scientists who use spatio-temporal or GPS data for their research.

• Proceedings of the Korea Information Processing Society Conference
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• 2011.11a
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• pp.290-292
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• 2011

본 논문에서는 얼굴 요소의 자연적 특징과 PCA(Principal Component Analysis)를 융합한 얼굴인식 알고리즘을 소개한다. 지금까지 PCA 를 비롯한 다양한 얼굴인식 알고리즘이 소개되었지만, 얼굴영상을 하나의 '신호'혹은 '벡터'로 간주하여 이를 수학적 접근법으로 풀이하는 방법이 대부분이었다. 이에 본 논문에서는 템플릿 정합 기법을 이용하여 눈썹, 눈, 턱 등을 형태에 따라 분류하는 특징 분류기를 통하여 그룹을 나누고, 각 그룹별로 PCA 분류를 진행하는 2 단계 알고리즘을 구현하였다. 이를 CMU-PIE 데이터베이스를 이용해 검증하고, 실험 결과를 논의하였다.

• Proceedings of the Korea Information Processing Society Conference
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• 2022.11a
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• pp.314-316
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• 2022

코로나 19로 인해 일회용품 사용량이 증가함에 따라 쓰레기에 대한 환경문제가 발생하고 있다. 이러한 문제점을 개선하기 위해 집에서도 간편하게 쓰레기 배출 정보를 확인할 수 있는 연구를 진행했다. 스마트 관리 기계 사용을 통해 쓰레기가 환경에 미치는 악영향이 최소화되기를 기대한다.