• ETRI Journal
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• 제37권3호
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• pp.491-501
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• 2015

Spectrum sensing is an elementary function in cognitive radio designed to monitor the existence of a primary user (PU). To achieve a high rate of detection, most techniques rely on knowledge of prior spectrum patterns, with a trade-off between high computational complexity and long sensing time. On the other hand, blind techniques ignore pattern matching processes to reduce processing time, but their accuracy degrades greatly at low signal-to-noise ratios. To achieve both a high rate of detection and short sensing time, we propose fast spectrum sensing with coordinate system (FSC) - a novel technique that decomposes a spectrum with high complexity into a new coordinate system of salient features and that uses these features in its PU detection process. Not only is the space of a buffer that is used to store information about a PU reduced, but also the sensing process is fast. The performance of FSC is evaluated according to its accuracy and sensing time against six other well-known conventional techniques through a wireless microphone signal based on the IEEE 802.22 standard. FSC gives the best performance overall.

• Journal of International Society for Simulation Surgery
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• 제3권1호
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• pp.22-27
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• 2016

Background Craniosynostosis management using distraction osteogensis represent a challenge for surgeons due to the great variability of the skull deformity even within the same etiology. The ability to apply the simulation surgery for improving the preoperative planning for distraction osteogensis could improve the results.Planning and Simulation 14 patients presented with craniosynostosis had been subjected to simulation surgery prior to real surgery. 3D CT scans was obtained upon patient admission. Adjustment of all skull position to Frankfort horizontal plane was done. 3 different distraction osteogensis plans were done for each patient according to the skull morphology. For each plane, movement for each bone segment was done according to the pre-planned distraction vectors. Also the distances of distractions were pre-determined according to the cephalic index as well as brain volume. Intraoperatively, we choose the most appropriate plan for the patient by the surgeon. At the end of distraction, 3D CT scan was obtained, and was compared to the simulation plan. Also the distance and the direction of distraction was compared to that of the plan. Accordingly, the distance was almost matching that of the simulation surgery, however the vector of distraction was not matched.Conclusion Preoperative stimulation planning for craniosynostosis patient is very valuable tool in the surgical management of craniosynostosis patients.

• Journal of Microbiology and Biotechnology
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• 제26권6호
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• pp.1124-1131
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• 2016

In this study, the global proteome of the IPEC-J2 cell line was evaluated using ultra-high performance liquid chromatography coupled to a quadrupole Q Exactive^™ Orbitrap mass spectrometer. Proteins were isolated from highly confluent IPEC-J2 cells in biological replicates and analyzed by label-free mass spectrometry prior to matching against a porcine genomic dataset. The results identified 1,517 proteins, accounting for 7.35% of all genes in the porcine genome. The highly abundant proteins detected, such as actin, annexin A2, and AHNAK nucleoprotein, are involved in structural integrity, signaling mechanisms, and cellular homeostasis. The high abundance of heat shock proteins indicated their significance in cellular defenses, barrier function, and gut homeostasis. Pathway analysis and annotation using the Kyoto Encyclopedia of Genes and Genomes database resulted in a putative protein network map of the regulation of immunological responses and structural integrity in the cell line. The comprehensive proteome analysis of IPEC-J2 cells provides fundamental insights into overall protein expression and pathway dynamics that might be useful in cell adhesion studies and immunological applications.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
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• pp.301-303
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• 2003

The extraction of 3D road network from high-resolution aerial images is still one of the current challenges in digital photogrammetry and computer vision. For many years, there are many researcher groups working for this task, but unt il now, there are no papers for doing this with TLS (Three linear scanner), which has been developed for the past several years, and has very high-resolution (about 3 cm in ground resolution). In this paper, we present a methodology of road extraction from high-resolution digital imagery taken over urban areas using this modern photogrammetry’s scanner (TLS). The key features of the approach are: (1) Because of high resolution of TLS image, our extraction method is especially designed for constructing 3D road map for next -generation digital navigation map; (2) for extracting road, we use the global context of the intensity variations associated with different features of road (i.e. zebra line and center line), prior to any local edge. So extraction can become comparatively easy, because we can use different special edge detector according different features. The results achieved with our approach show that it is possible and economic to extract 3D road data from Three Linear Scanner to construct next -generation digital navigation road map.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제13권1호
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• pp.206-221
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• 2019

Source localization in three-dimensional (3-D) wireless sensor networks (WSNs) is becoming a major research focus. Due to the complicated air-ground environments in 3-D positioning, many of the traditional localization methods, such as received signal strength (RSS) may have relatively poor accuracy performance. Benefit from prior learning mechanisms, fingerprinting-based localization methods are less sensitive to complex conditions and can provide relatively accurate localization performance. However, fingerprinting-based methods require training data at each grid point for constructing the fingerprint database, the overhead of which is very high, particularly for 3-D localization. Also, some of measured data may be unavailable due to the interference of a complicated environment. In this paper, we propose an efficient kernel based 3-D localization algorithm via tensor completion. We first exploit the spatial correlation of the RSS data and demonstrate the low rank property of the RSS data matrix. Based on this, a new training scheme is proposed that uses tensor completion to recover the missing data of the fingerprint database. Finally, we propose a kernel based learning technique in the matching phase to improve the sensitivity and accuracy in the final source position estimation. Simulation results show that our new method can effectively eliminate the impairment caused by incomplete sensing data to improve the localization performance.

• 한국BIM학회 논문집
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• 제10권4호
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• pp.98-109
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• 2020

Based on the prior research which developed the consistency review checklist of the BIM model and 2D drawing through the drawing analysis of the construction documents phase, the apparent limits of the existing template and the template development items were derived. As well, the BIM-based drawing templates of the construction documentation phase were developed and verified using ArchiCAD BIM software. The developed template was then applied to the actual project model in the construction documents phase, and, as a result, 50% of existing work elements could be utilized as templates. This is an increase of more than 30% over the existing template utilization elements, and it is analyzed to be effective in practical application and utilization. Based on the results of this study, if the BIM model construction criteria matching the drawing's utilization purpose are presented, while at the same time the BIM data interlocking and drawing template development studies are conducted, the utilization of BIM data can be maximized and additional drawing work can be minimized to increase the percentage of template utilization elements. In addition, it is believed that this can employed to address functional and institutional problems of BIM-based drawing and make a contribution to the activation of BIM.

• 한국멀티미디어학회논문지
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• 제25권1호
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• pp.103-113
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• 2022

Based on the information framework and regulatory focus theory, this paper verifies the impact on the advertising effect when the matching effect forms between the video advertising content type (Information Type, Entertainment Type) and the information framework (Promotional, Prevention) and the regulatory focus (Promotion Orientation, Prevention Orientation) in social media. In order to verify, after selecting of the experimental subjects and finishing the prior investigation of the experimental operation, four video advertisements and formal experiments were performed. The experimental results showed that first, the content type affects the advertising effect of the video and the information framework; when the information video matches the preventive information framework, it will have a more obvious positive effect on the advertising effect; when the entertainment video matches the promotion information framework, it will have a more obvious positive effect on the advertising effect. Second, with the two matches of video content type and information framework, the entertainment-oriented video has a more obvious positive effect for the information-oriented video audience; the above results enrich user created content research and improve the quality and communication efficiency of video in social media.

• 창의정보문화연구
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• 제5권2호
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• pp.145-156
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• 2019

본 연구에서는 명명된 실체 인식 기법에 기초한 정보 추출 모듈을 개발하고 평가하였다. 본 논문의 제시된 목적을 위해, 모듈은 사전 지식 없이 임의의 문서에서 우편 주소 정보를 추출하는 문제에 적용하도록 설계되었다. 정보 기술 실무의 관점에서, 우리의 접근방식은 유니그램 기반 키워드 매칭과 비교하여 일반화된 기법인 확률론적 n-gram(바이오그램 또는 트리그램) 방법이라고 말할 수 있다. 모델을 순차적으로 적용하지 않고 문장검출, 토큰화, POS 태그를 재귀적으로 적용하는 것이 우리의 접근법과 자연어 처리에 채택된 전통적인 방법 사이의 주요한 차이점이다. 이 논문에서는 약 2천 개의 문서를 포함한 시험 결과를 제시한다.

• 대한방사선치료학회지
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• 제20권1호
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• pp.25-29
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• 2008

목 적: Fiducial Gold Marker가 삽입된 전립선암 양성자 치료 시 DIPS를 이용하여 전립선의 위치변화를 관찰하고, 전립선의 움직임에 따른 보정 및 양성자치료에 관한 연구를 하고자 한다. 대상 및 방법: 2008년 4월 이후로 본원에서 양성자치료를 받은 10명의 전립선암환자를 대상으로 하였다. 전립선의 위치변화를 관찰하기위해 치료 전에 전립선에 3개의 Fiducial Gold Marker를 삽입하였고, 전립선의 움직임을 최소화하기 위해 치료 전에 소변을 보고, 매일 정량의 물을 섭취하며, Rectal balloon을 함께 시행하였다. 환자의 처음 치료자세는 CT 모의치료 때와 같고, DIPS (Digital Image Positioning System)를 이용하여 AP, Lat 촬영을 하여 얻은 영상과 치료계획에서 얻은 PA, Lat 영상을 비교하여, Fiducial Gold Marker 위치변화(X, Y, Z) 관찰하였고, 이에 따른 보정 후에 양성자치료를 시행하였다. 결 과: 치료계획에서 얻은 영상과 DIPS를 이용하여 얻은 영상의 각각의 Fiducial Gold Marker의 위치변화 차이는 10명 환자에 있어서 치료 중심을 기준으로 평균 X축: $\pm$0.116 cm, Y축: $\pm$0.19 cm, Z축: $\pm$0.176 cm이었다. 10명의 환자 중 X축으로 최고 RT: 0.24 cm, 최저 RT: 0.04 cm의 위치변화 차이가 나타났고, Y축으로 최고 Sup: 0.42 cm, 최저 Inf: 0.03 cm 위치변화 차이가 나타났고, Z축으로 최고 Ant: 0.35 cm, 최저 Post: 0.05 cm의 위치변화 차이가 관찰되었다. 결 론: 전립선의 움직임을 최소화 하기위해 치료 전에 전처치로 소변을 보고, 매일 정량의 물을 섭취하며, Rectal balloon을 시행하였으나, 모든 환자의 경우에서 전립선에 삽입된 3개의 Fiducial Gold Marker의 매일 움직임을 관찰할 수 있었다. 위 자료를 바탕으로 보다 정확한 치료 중심 설정이 요구되는 양성자치료에서 Gold Marker Matching System의 필요성을 확인할 수 있었으며, 본 연구에서 사용된 DIPS를 이용하여 전립선의 위치변화에 따른 치료 중심을 보정함으로써 보다 정밀한 양성자치료 효과를 향상시킬 수 있을 것으로 사료된다.

• 한국정보과학회논문지:데이타베이스
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• 제36권4호
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• pp.263-279
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• 2009

CBIR(Content-based Image Retrieval) 시스템의 질의 처리에 사용되는 모양 특징은 크게 경계 기반과 영역 기반 등 두 가지로 나눌 수 있다. 경계기반 특징은 간단하지만 영역 기반 특징에 비해 효과적이지 않다. 영역 기반 모양 특징을 사용하는 대부분의 시스템은 먼저 영역을 추출해야 한다. 하지만 기존의 영역 기반 시스템들은 구현이 복잡하고, 특히 정확한 영역 추출이 어려우며 영역 간의 위치적인 관계가 거리 모델(distance model)에 반영되어 있지 않다. 본 논문에서는 Canny 에지 검출과 Hough 변환에 기반하여 목표 내부의 에지를 검출하고, 이와 함께 영역확장을 이용하여 목표 물체 내부의 영역을 정확히 추출할 수 있는 방법을 제안하였다. 또한 영역 간의 인접 관계를 이용한 수정된 IRM(Integrated Region Matching) 기법을 제안하였다. 이는 모양 특징을 이용한 유사성 검색에서 영상 간의 거리 모델로서 사용된다. 그리고 실험을 통해 수정된 IRM 기법과 우리의 영역 추출 기법이 효과적임을 보였다. 실험 결과는 새로운 영역 추출 방법이 기존의 다른 방법보다 훨씬 우수함을 보여준다.