• 전자공학회논문지 IE
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• v.48 no.3
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• pp.26-32
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• 2011

This paper proposed that the method be searched for optimal route of evacuation by algorithm using potential field in specific situation, fire. When robot met an obstacle to be indicated it to ignition point, the installed sensor could be detected the point in restricted area. In according as the data of a fire detection sensor and a sensor complex in a building, the information was transmitted to server which computed optimal route of evacuation by algorithm using potential field. After that, it was able to blow a siren and mark the safe-path with using wireless device such as smart-phone. It was confirmed that the proposed method in functional test, fire emergency evacuation algorithm using potential field, was advanced in circumstance of simulation.

• Journal of IKEEE
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• v.20 no.1
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• pp.111-114
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• 2016

In HEVC, motion estimation is performed independently for each variable block size. So it requires several times of search window data, and also it is difficult to exploit early termination. In this paper, a new method is proposed to exploit search window data and early termination in variable block size. When applied to TZS algorithm, it reduces pixel comparison and search window data accesses to 1/3.7 ~ 1/2.9 with negligible image quality degradation.

• Journal of the Korea Convergence Society
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• v.11 no.10
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• pp.329-335
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• 2020

The purpose of this study is to examine how the motivational factors for beauty waxing affect the waxing care intention through information search types. To this end, a research model was established and 160 response data obtained by conducting a questionnaire survey on adult men and women in Seoul and Gyeonggi Province were used for structural model analysis. As a result, it was found that the motivational factors (i.e., interest, importance, and other's eye) for beauty waxing influenced the waxing management intention through the information search type (i.e., exploration and observation). This study has expanded the academic field of beauty by exploring the predecessors of waxing care intention and its process, and it has implications that it can practically improve understanding of potential users of beauty waxing. It is thought to be able to contribute to the activation of the waxing market.

• Journal of KIISE:Information Networking
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• v.34 no.2
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• pp.88-99
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• 2007

P2P systems are distributed data sharing systems, and each node in them plays the role of client as well as server. There are several studies using Distributed Hash Table, such as Chord, CAN, Tapestry, Pastry, but these systems don't consider the physical latency, therefore they have a weakness of difficulty to guarantee stable performance. To improve this problem, we present the TP2P system. This system is a self-organizing hierarchical overlay system and it uses Chord routing mechanism for lookup data. This system is organized by several subnets, each subnet is organized by physically close nodes, and global network organized by all nodes. In each subnet, one node finds a data, it saves in a node in the subnet, therefore it has higher probability to reduce physical lookup latency than Chord system. And each node has global information of some nodes in its subnet, and it is used to lookup data, therefore the number of hops decrease about 25% as well as the physical lookup latecy are reduced.

• Journal of Digital Convergence
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• v.11 no.11
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• pp.367-372
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• 2013

In general, Levenshtein distance algorithm have a problem with not distinguish the consideration of vacabulary retrieve, because Levenshtein methode is used to vocabulary order are not defined. In this paper, we propose a improved Levenshtein methode, it effectively manage the vocabulary retrieve by frequency use of a vocabulary, and it gives the weight number which have a order between vocabularies. Therefore proposed methode have a advantage of solve the defect of perception rate in the case of increase the vocabulary, improve the recognition time become higher and it can be effectively retrieval space management.. System performance as a result of represent vocabulary dependence recognition rate of 97.81%, vocabulary independence recognition rate of 96.91% in indoor environment. Also, vocabulary dependence recognition rate of 91.11%, vocabulary independence recognition rate of 90.01% in outdoor environment.

• Smart Media Journal
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• v.13 no.8
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• pp.39-48
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• 2024

Recently, various studies have emerged that utilize hyperspectral imaging for crop growth analysis and early disease diagnosis. However, the challenge of using numerous spectral bands or finding the optimal bands for crop area remains a difficult problem. In this paper, we propose a method of searching the optimized spectral band of crop area based on deep learning using the hyper-spectral image. The proposed method extracts RGB images within hyperspectral images to segment background and foreground area through a Vision Transformer-based Seformer. The segmented results project onto each band of gray-scale converted hyperspectral images. It determines the optimized spectral band of the crop area through the pixel comparison of the projected foreground and background area. The proposed method achieved foreground and background segmentation performance with an average accuracy of 98.47% and a mIoU of 96.48%. In addition, it was confirmed that the proposed method converges to the NIR regions closely related to the crop area compared to the mRMR method.

• 한국IT서비스학회:학술대회논문집
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• 2010.05a
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• pp.469-474
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• 2010

본 연구에서는 보건기관이 효율적으로 고혈압 관리 대상자를 탐색하고, 고혈압 관련 요인에 대한 지식을 효과적으로 관리할 수 있도록 하는 고혈압 고위험군 추정 모형 및 우선 사업 대상자 탐색 모형을 제안한다. 특히, 대용량 데이터 처리 및 실시간 시스템 운영, 외부 환경 변화를 고려한 자동 학습과 같은 현실적인 제약 조건을 해결하는 모형을 개발하는 것을 주 목표로 한다. 지역 보건소에서 수집된 의료 데이터를 이용하여 최적의 파라미터 값을 설정한 고혈압 고위험군 탐색 모형을 도출하였으며, 모형의 검증을 위하여 고혈압 환자정보로 구성된 평가용 데이터를 사용하여 고혈압 자연 발병률 대비 약 2배 수준으로 향상된 고혈압 환자 예측 정확도가 얻어지는 것을 확인하였다. 시스템 운영과 유비보수 측면에서 현실적으로 중요한 문제인 대용량 데이터 처리 및 외부 환경 변화에 강인한 자동학습 이슈를 해결하기 위한 방안에 대해서도 설명하였다.

• Proceedings of the Korea Contents Association Conference
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• 2010.05a
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• pp.67-69
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• 2010

본 논문에서는 이동 피어의 효율적인 콘텐츠 탐색을 지원하는 피어 지역 색인 기법을 제안한다. 제안하는 기법은 인덱스 테이블, 버디 테이블, 라우팅 테이블로 구성되며 타임스탬프 메시지를 이용하여 메시지 전송 비용을 감소시킨다. 제안하는 색인 구조는 동적인 이동성과 상황 정보를 고려하여 탐색정확도를 향상하고 탐색 비용을 감소시킨다.

• Journal of the Korea Computer Industry Society
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• v.4 no.10
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• pp.731-740
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• 2003

Since motion estimation remove the redundant data to employ the temporal correlations between adjacent frames in a video sequence, it plays an important role in digital video coding. And in the block matching algorithm, search patterns of different shapes or sizes and the distribution of motion vectors have a large impact on both the searching speed and the image quality. In this paper, we propose a new fast block matching algorithm using the small-cross search pattern and the block-based gradient descent search pattern. Our algorithm first finds the motion vectors that are close to the center of search window using the small-cross search pattern, and then quickly finds the other motion vectors that are not close to the center of search window using the block-based gradient descent search pattern. Through experiments, compared with the block-based gradient descent search algorithm(BBGDS), the proposed search algorithm improves as high as 26-40% in terms of average number of search point per motion vector estimation.

• Journal of Korea Society of Industrial Information Systems
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• v.17 no.7
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• pp.187-198
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• 2012

Consumer innovativeness is a force that leads to innovative behavior of consumer and it is crucial for companies to understand the innovativeness in association with the new innovative product adoption. The purpose of this paper is to examines the influence of Consumer's inherent innovativeness, product involvement, and product expertise on consumers's vicarious and adoptive innovativeness. For this purpose, the model has been set and examined the influence of consumer innovativeness, product involvement and product expertise on vicarious and adoptive innovativeness. The results revealed that 1) consumer innovativeness would not influence vicarious and adoptive innovativeness, 2) vicarious innovativeness had affect on adoptive innovativeness 3) product involvement had a affect on both vicarious and adoptive innovativeness 4) product expertise had a affect on vicarious innovativeness and yet had no affect on adoptive innovativeness.