• Proceedings of the Korea Information Processing Society Conference
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• 2019.10a
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• pp.809-812
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• 2019

소프트웨어 크래시 분류를 개선하기 위해 호출 스택 정보를 기반한 많은 연구들이 있다. 본 연구에서는 크래시 직전 이미지를 수집하여, 기존 호출 스택 기반의 분류에서 발생하는 문제를 개선하고자 한다. 또한 이미지 자체의 직관성으로 개발자뿐만 아니라 개발 지식이 없는 실무자도 크래시 정보를 활용할 수 있고, 문제 해결을 위한 재현 루트 파악, 위변조 여부와 같은 추가 정보를 확인할 수 있을 것으로 기대한다. 비지도 학습 기반인 딥러닝 클러스터링 N2D 알고리즘을 통하여 이미지를 자동 분류하고 순위화하는 시스템을 구축하여, 특정 소프트웨어에 특화되지 않고 다양한 소프트웨어의 크래시 이미지 자동 분류에 기여할 수 있을 것으로 기대한다.

• Journal of KIISE
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• v.41 no.10
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• pp.847-858
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• 2014

Until now, a lot of image quality assessment techniques or tools for optimal human visual system(HVS)-awareness have been researched and SSIM(Structural SIMilarity) and its improved techniques are representative examples. However, they often cannot cope with various images and different distortion types robustly, and thus this can cause a large gap between their index values and HVS-awareness. In this paper, we conduct image quality assessment on SSIM and its variants intensively and analyze the causes of each component function's observed anomalies. Then, we propose a novel image quality assessment technique to compensate and improve such anomalies. Additionally, through extensive image assessment simulations, we show that the proposed technique can indicate HVS-awareness more robustly and consistently than SSIM and its variants for various images and different distortion types.

• 월간 기계설비
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• s.256
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• pp.60-65
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• 2011

건설산업의 선진화와 이미지 제고, 공생발전을 이끌어낼 핵심 허브로 '건설산업 공생발전위원회'가 출범했다. 국토해양부는 지난 10월 18 권도엽 장관 주재로 제1차 건설산업 공생발전위원회를 열고 발주자의 우월적 지위 개선, 하도급대금 미지급 행위 근절, 건설근로자 고용여건 개선 등 다양한 과제들을 논의할 예정이다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2013.05a
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• pp.385-388
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• 2013

In this paper, we show the weakness of the image matching method by using MPEG-7 EHD(Edge Histogram Descriptor) and suggest how to improve this weakness by using image normalization. EHD algorithm is an image matching technique that collects edge's slope of distribution and same distribution. However, the EHD error rate is high because EHD is sensitive for changes of object distortion and rotation that will be matched. We improve matching performance by accurately extract edge information in image by using normalization. We compare and analyze the normalized EHD algorithm by using distortion and rotation and it shows robustness for changes of the size and rotation.

• Cross-Cultural Studies
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• v.44
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• pp.393-410
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• 2016

This paper examines why Japan's nation branding strategy is not working in South Korea in spite of expanding relations between Korea and Japan. Japan has successfully managed its national reputation, which altered its image around the world. However, Japan's nation-image in South Korea has not kept up with its efforts internationally. Political and economic interactions between Korea and Japan have increased throughout the past decades since the normalization of diplomatic relations in 1965. Also, the normalization of cultural-social relations emerged after the Korean government policy restricting Japanese popular culture was removed in the 1990s and overseas travel was liberalized in 1989. In spite of the improvement in politico-cultural-social relations, trust-building efforts still stagnate between the two countries. This paper discusses the reasons behind this phenomenon and provides some suggestions to solve this issue.

• Annual Conference on Human and Language Technology
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• 2015.10a
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• pp.99-103
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• 2015

최근 딥러닝 기술의 발전에 힘입어 이미지로부터 자동으로 관련된 단어 혹은 문장을 생성하는 연구들이 진행되고 있는데, 많은 연구들은 이미지와 단어가 1:1로 대응된 잘 정련된 학습 집합을 필요로 한다. 한편 스마트폰 보급의 확산으로 인스타그램, 폴라 등의 이미지 기반 SNS가 급속하게 성장함에 따라 인터넷에는 한 이미지의 복수개의 단어(태그)가 부착되어있는 데이터들이 폭증하고 있는 것이 현실이다. 본 논문에서는 소규모의 잘 정련된 학습 집합뿐 아니라 이러한 대규모의 다중 레이블 데이터를 같이 활용하여 이미지로부터 태그를 생성하는 개선된 CNN구조 및 학습알고리즘을 제안한다. 기존의 분류 기반 모델에 은닉층을 추가하고 새로운 학습 방법을 도입한 결과, 어노테이션 성능이 기존 모델보다 11% 이상 향상되었다.

• Proceedings of the Korea Contents Association Conference
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• 2019.05a
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• pp.321-322
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• 2019

오늘날의 시장 환경에서 경쟁은 매우 치열하고, 발전의 길에서 상점들은 시대의 발전에 따른 여러 가지 요구에 직면하고 있다. 브랜드의 개선과 혁신은 브랜드의 업계 이미지를 새롭게 수립하기 위한 것이다. 소비자 및 시장 환경에서 상점의 전체적인 이미지가 자신의 전략적 포지셔닝과 상응하고 긴밀하게 결합하며, 관중들의 인상에서의 차이와 부족을 개선할 수 있도록, 상점의 특징에 초점을 맞춰 VI디자인을 개선하는 것은 상점의 경쟁력과 브랜드 이미지의 향상을 위한 필연적인 선택이 되었다. 상점의 특색을 직접적으로 표현할 수 있고, 가장 짧은 시간 내에 소비자들에게 상점의 정신적 이념과 주체 운영 범위를 표현하는 것은 VI디자인이 핵심적으로 추구하는 것이다. 본 논문은 현재 성숙한 비주얼 아이덴티티 시스템을 갖춘 브랜드의 VI디자인을 조사하고, 비교를 통해서, 이 서점의 VI디자인 개선의 필요성을 연구하였다.

• Journal of the Korea Computer Graphics Society
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• v.30 no.2
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• pp.11-19
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• 2024

Demand for small biomimetic robots that can carry out reconnaissance missions without being exposed to the enemy in underground spaces and narrow passages is increasing in order to increase the fighting power and survivability of soldiers in wartime situations. A small compound eye image sensor for environmental recognition has advantages such as small size, low aberration, wide angle of view, depth estimation, and HDR that can be used in various ways in the field of vision. However, due to the small lens size, the resolution is low, and the problem of resolution in the fused image obtained from the actual compound eye image occurs. This paper proposes a compound eye image quality enhancement algorithm based on Image Enhancement and ESRGAN to overcome the problem of low resolution. If the proposed algorithm is applied to compound eye image fusion images, image resolution and image quality can be improved, so it is expected that performance improvement results can be obtained in various studies using compound eye cameras.

• The KIPS Transactions:PartD
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• v.13D no.1 s.104
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• pp.29-36
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• 2006

In this paper, we present a leaf image retrieval system that represents and retrieves leaf images based on their shape. For more effective representation of leaf images, we improved an existing MPP algorithm. Also, in order to reduce the response time, we proposed a new dynamic matching algorithm at basically revises the Nearest Neighbor search. The system provides users with an interface for uploading query images or tools to generate queries based on shape features and retrieves images based on their similarity. For convenience, users are allowed to easily query images by sketching leaf shape or leaf arrangement on the web. In the experiment, we constructed an image database of Korean native plants and measured the system performance by counting the number of similar images retrieved for queries.

• KIISE Transactions on Computing Practices
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• v.23 no.9
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• pp.564-571
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• 2017

The burst loading of a pre-created cache-image is an effective method to reduce the instruction cache misses in the early stage of the program execution. It is useful to alleviate the performance degradation as well as the energy inefficiency, which is induced by the concentrated cold misses at the instruction cache. However, there are some defects, including software overhead on the compiler and installer. Furthermore, there are several mismatches as a result of the dynamic properties for specific applications. This paper addresses these issues and proposes a cache-image maintenance/recreation policy that can conduct dynamic management using a hardware-assisted method. The results of the simulation show that the proposed method can maintain the cache-image with a proper size and validity.