• KSII Transactions on Internet and Information Systems (TIIS)
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• v.9 no.2
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• pp.600-619
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• 2015

We propose a cost-efficient hybrid algorithm for online location updates that efficiently combines feature point detection with the online trajectory-based sampling algorithm. Our algorithm is designed to minimize the average trajectory error with the minimal number of sample points. The algorithm is composed of 3 steps. First, we choose corner points from the map as sample points because they will most likely cause fewer trajectory errors. By employing the online trajectory sampling algorithm as the second step, our algorithm detects several missing and important sample points to prevent unwanted trajectory errors. The final step improves cost efficiency by eliminating redundant sample points on straight paths. We evaluate the proposed algorithm with real GPS trajectory data for various bus routes and compare our algorithm with the existing one. Simulation results show that our algorithm decreases the average trajectory error 28% compared to the existing one. In terms of cost efficiency, simulation results show that our algorithm is 29% more cost efficient than the existing one with real GPS trajectory data.

• Proceedings of the Korean Society For Composite Materials Conference
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• 2005.04a
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• pp.207-211
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• 2005

The Korean Tilting Train eXpress (TTX) with service speed of 180km/h have been developing using hybrid design concept combined with a sandwich composite structure for the carbody and stainless steel structure for the underframe to match the challenging demands with respect to cost efficient lightweight design for railway carriage structures. The sandwich composite structure was used to minimize the weight of the carbody, while the metal underframe was used to modify the design easily and to keep the strength of underframe for the installation of the electrical equipments. The sandwich composite structure was 23 meters long, 3 meters wide and 2.7 meters high, and cured as one body in a large autoclave equipment with the length of 30 meters and the diameter of 5 meters. The joint part between the carbody structure made of sandwich composites and the metal underframe was joined by the proposed design.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2016.06a
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• pp.295-296
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• 2016

본 논문은 ATSC2.0 기반 8-VSB/MH 융합형 3DTV (A/104 Part 5 Service Compatible 3DTV using Main and Mobile Hybrid Delivery) 방식 다중화기 개발에 대한 내용을 기술한다. ATSC A/104 Part 5 SC-MMH 3DTV 방식은 미국의 지상파 DTV 표준화 논의단체인 ATSC 에서 고정 HD 서비스를 위한 8-VSB 채널과, In-band 모바일 TV 서비스를 위한 ATSC M/H 채널을 이용하여, 주파수 효율을 극대화한 새로운 개념의 3D 콘텐츠 전송기술을 도입한 HD 급 지상파 3DTV 방식으로 2014 년 8 월 융합형 3DTV 서비스 시그널링 방안 및 2015 년 10 월 부가정보(VEI: Video Enhancement Information)를 이용한 화질개선 기술을 ATSC 3DTV Standard 로 채택하였다. 본 논문에서는 이와같은 8-VSB/MH 융합형 3DTV Head-End 핵심장비인 8-VSB/MH 융합형 3DTV 다중화기 구현에 대한 내용을 기술한다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.16 no.6
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• pp.1285-1290
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• 2012

People have been interested in the next generation media and service over 3D by development of 3D industry and generalization of 3D-related content and equipment in recent year. Many researchers predict that a strong candidate is digital hologram. Holographic technology is classified to capture(or generation), processing, and display(or reconstruction). This paper discusses the digital holographic display system using hybrid image pickup system and proposes a new structure of digital holographic display system. Through the proposed method a digital hologram can be scalably serviced according to display equipments with various resolutions, computing power of decoding part, and network bandwidth.

• Journal of KIISE:Computer Systems and Theory
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• v.34 no.7
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• pp.304-318
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• 2007

Grid computing is a service that share geographically distributed computing resources through high speed network. In this paper, we propose hybrid scheduling scheme which considers not only meta-scheduling scheme to distribute the job between the nodes of grid computing system but also the job scheduling to distribute the job within the local nodes. According to the number of processors needed and expected execution time, the job with high priority is allocated to job queue while the one with low priority and remote job are allocated to backfill queue. We evaluate the proposing scheme through the various experiments and the results show that the utilization of grid computing system increases and the job slowdown decreases.

• ETRI Journal
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• v.34 no.5
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• pp.666-673
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• 2012

Non-real-time delivery of stereoscopic video has been considered as a service scenario for 3DTV to overcome the limited bandwidth in the terrestrial digital television system. A hybrid codec combining MPEG-2 and H.264/AVC has been suggested for the compression of stereoscopic video for 3DTV. In this paper, we propose a stereoscopic video coding scheme using adaptive pre-/post-filters (APPF) to improve the quality of 3D video while retaining compatibility with legacy video coding standards. The APPF are applied adaptively to blocks of various sizes determined by the macroblock coding mode and reference frame index. Experiment results show that the proposed method achieves up to 24.86% bit rate savings relative to a hybrid codec of MPEG-2 and H.264/AVC including the inter-view prediction.

• Korean Journal of Plant Resources
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• v.19 no.2
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• pp.209-217
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• 2006

This study was carried out to investigate and analyze the vascular flora and injury status in Shinduri coastal dune area $(N36^{\circ}\;49',\;E126^{\circ}\;11')$, where designated as Natural Monuments and the result are as follows. The vascular plants identified and surveyed were 125 taxa including 108 species, 14 varieties, 2 forms and 1 hybrid of 92 genera of 40 families and there are 20 taxa including 17 species, 2 varieties and 1 hybrid of 15 genera of 10 families for woody plants, while 105 toxa including 91 species, 12 varieties and 2 forms of 78 genera of 34 families for the herbaceous plants at the . study sites. Seventeen taxa including 17 species of 15 genera of 9 families were investigated for naturalized plants and ratio of naturalization was 13.6 percents at the study sites. Glehnia littorolis Fr. Schm. and Lilium callosum S. et Z. appeared as rare and endangered plants designated in Korea Forest Service. Nine taxa in degree 1, 2 taxa in degree 2, 4 taxa in degree 3, 2 taxa in degree 4 and 2 taxa in degree 5 were represented for especialized species.

• Proceedings of the Korean Society for Agricultural Machinery Conference
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• 1996.06c
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• pp.780-791
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• 1996

A hybrid image processing system which automatically distinguished lean tissues in the image of a complex beef cut surface and generated the lean tissue contour has been developed. Because of the in homegeneous distribution and fuzzy pattern of fat and lean tissue on the beef cut, conventional image segmentation and contour generation algorithm suffer from a heavy computing requirement, algorithm complexity and poor robustness. The proposed system utilizes an artificial neural network enhance the robustness of processing. The system is composed of pre-network , network and post-network processing stages. At the pre-network stage, gray level images of beef cuts were segmented and resized to be adequate to the network input. Features such as fat and bone were enhanced and the enhanced input image was converted tot he grid pattern image, whose grid was formed as 4 X4 pixel size. at the network stage, the normalized gray value of each grid image was taken as the network input. Th pre-trained network generated the grid image output of the isolated lean tissue. A training scheme of the network and the separating performance were presented and analyzed. The developed hybrid system showed the feasibility of the human like robust object segmentation and contour generation for the complex , fuzzy and irregular image.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.5 no.3
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• pp.560-574
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• 2011

In this paper, we propose a hybrid method of Machine Learning (ML) algorithm and a rule-based algorithm to implement a lightweight Named Entity (NE) extraction system for Korean SMS text. NE extraction from Korean SMS text is a challenging theme due to the resource limitation on a mobile phone, corruptions in input text, need for extension to include personal information stored in a mobile phone, and sparsity of training data. The proposed hybrid method retaining the advantages of statistical ML and rule-based algorithms provides fully-automated procedures for the combination of ML approaches and their correction rules using a threshold-based soft decision function. The proposed method is applied to Korean SMS texts to extract person's names as well as location names which are key information in personal appointment management system. Our proposed system achieved 80.53% in F-measure in this domain, superior to those of the conventional ML approaches.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.6 no.3
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• pp.835-854
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• 2012

In this paper, we propose a novel positioning system for indoor navigation which helps a user navigate easily to desired destinations in an unfamiliar indoor environment using his mobile phone. The system requires only the user's mobile phone with its basic equipped sensors such as a camera and a compass. The system tracks user's positions and orientations using a vision-based approach that utilizes $360^{\circ}$ panoramic images captured in the environment. To improve the robustness of the vision-based method, we exploit a digital compass that is widely installed on modern mobile phones. This hybrid solution outperforms existing mobile phone positioning methods by reducing the error of position estimation to around 0.7 meters. In addition, to enable the proposed system working independently on mobile phone without the requirement of additional hardware or external infrastructure, we employ a modified version of a fast and robust feature matching scheme using Histogrammed Intensity Patch. The experiments show that the proposed positioning system achieves good performance while running on a mobile phone with a responding time of around 1 second.