• Investigative Magnetic Resonance Imaging
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• v.21 no.1
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• pp.28-33
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• 2017

Purpose: To investigate and compensate the effects of respiration-induced B0 variations on fat quantification of the bone marrow in the lumbar spine. Materials and Methods: Multi-echo gradient echo images with navigator echoes were obtained from eight healthy volunteers at 3T clinical scanner. Using navigator echo data, respiration-induced B0 variations were measured and compensated. Fat fraction maps were estimated using $T2^*$-IDEAL algorithm from the uncompensated and compensated images. For manually drawn bone marrow regions, the estimated B0 variations and the calculated fat fractions (before and after compensations) were analyzed. Results: An increase of temporal B0 variations from inferior level to superior levels was observed for all subjects. After compensation using navigator echo data, the effects of the B0 variations were reduced in gradient echo images. The calculated fat fractions show significant differences (P < 0.05) in L1 and L3 between the uncompensated and the compensated. Conclusion: The results of this study raise the need for considering respiration-induced B0 variations for accurate fat quantification using gradient echo images in the lumbar spine. The use of navigator echo data can be an effective way for the reduction of the effects of respiratory motion on the quantification.

• Journal of information and communication convergence engineering
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• v.15 no.3
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• pp.182-186
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• 2017

Maintaining a proper lookout activity routine is integral to preventing ship collision accidents caused by human errors. Various subjective measures such as interviewing, self-report diaries, and questionnaires have been widely used to monitor the lookout activity patterns of navigators. An objective measurement of a lookout activity pattern classification system is required to improve lookout performance evaluation in a real navigation setting. The purpose of this study was to develop an objective navigator lookout activity classification system using wearable accelerometers. In the training session, 90.4% accuracy was achieved in classifying five fundamental lookout activities. The developed model was then applied to predict real-lookout activity in the second session during an actual ship voyage. 86.9% agreement was attained between the directly observed activity and predicted activity. Based on these promising results, the proposed unobstructed wearable system is expected to objectively evaluate navigator lookout patterns to provide a better understanding of lookout performance.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2013.10a
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• pp.110-111
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• 2013

우리나라 현대 글로비스사는 스웨덴의 Stena 해운사 소속인 M/T Stena Polaris호를 용선하여 화물(납사, 43,838톤)을 싣고 2013년 9월 15일 러시아 Ust Luga항을 출항하여 약 8,100마일 북극해 항로(North Sea Route)를 통하여 10월 17일경 여수 사포 1부두에 입항할 예정이다. 이는 금년 5월 15일 "북극해 이사회"의 영구옵서버 자격을 취득과 더블어 새로운 물류 시대의 개막이라고 할 수 있겠다. 이런 시점에서 한국해양수산연수원은 국내 Ice Navigator 교육시장 선점과 세계적 교육기관으로 도약을 하기 위하여 교육과정을 개설준비 하고 있으며, 금번 시범운항 행사를 위하여 방문한 9월 13일 Ice Navigation Training 교육과정이 이미 개설되어 있는 Russia Admiral Makarov State Maritime Academy측 총장 및 관계자와 Russia교수진의 협력 및 NSR 통과 선박의 승선실습을 요청하였으며, 교육인증을 위한 협력도 추진하기로 하였다. 따라서 현재 북극해 항로현황과 Ice Navigator교육과정 개발에 대하여 검토해 보고자 한다.

• Korean Journal of Computational Design and Engineering
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• v.14 no.4
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• pp.254-260
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• 2009

Most commercial PDM (product data management) systems, which have been released recently by overseas famous software vendors, are still expensive and heavy to apply to small and medium enterprises (SMEs). Proposed in this paper are an architecture and functions of collaborative BOM (bill-of-material) management system (cBOM-MS) which supports the internal BOM management by BOM Navigator, provides SMEs with constructing the collaborative BOM via Collaborative BOM Portal, and proposes an interface to extract BOM automatically from commercial CAD systems. In the design of cBOM-MS, BOM Navigator and cBOM Portal are positioned separately to reinforce the information security about product data during product development process.

• Journal of agricultural medicine and community health
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• v.34 no.2
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• pp.214-222
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• 2009

Objectives: This study was performed to evaluate the effect of navigator education program for cancer screening, which is designed for improvement in knowledge of cancer, perceived self efficacy and communication skill of the breast and cervical cancer screening for middle-aged and aged women in urban areas. Cancer screening navigator is lay health advisor who are educated for providing information, emotional support about cancer screening at the community. Methods: The subjects were 33 women at the age of 40-69 and educated for 12 hours through the education program. The control group subjects were 30 women. For statistical analysis, descriptive statistics and paired t-test were used with SPSS WIN 14.0. Results: Contents of education program were case of cancer early detection, benefit of breast cancer screening, benefit of cervical cancer screening, health care system for cancer screening, role of cancer screening navigator, communication skill, transtheoretical model and role play. Knowledge of cancer(t=4.267, p=0.000) and communication skill(t=4.947, p=0.000) of the women increased significantly after implementing the 12 hours education program. Conclusion: The results suggest that navigator education for cancer screening has an effect in increasing knowledge of cancer, and communication skill scores.

• Proceedings of the Korea Information Processing Society Conference
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• 2023.11a
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• pp.389-390
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• 2023

본 논문에서는 패션 매칭의 어려움을 해결해주기 위하여 '무신사' 쇼핑몰을 이용하여 크롤링하고 이를 정제한 dataset을 이용하여 패션 스타일의 핵심 요소 중 하나인 신발에 초점을 맞추어, 이미지 기반의 패션 매칭 시스템인 빅데이터 기반 패션 도우미, Shoes Navigator 를 제안한다. 이를 위해 컴퓨터 비전 및 딥 러닝 기술을 활용하여 이미지에서 의류 항목을 자동으로 감지하고, 스타일, 색상과 같은 패션 특성을 추출한다. 또한, 사용자의 개인적인 스타일을 고려하여 최적의 매칭을 제안하기 때문에 패션 코디 문제를 용이하게 해결할 수 있다.

• Journal of Broadcast Engineering
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• v.15 no.3
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• pp.346-354
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• 2010

T-DMB is using MPEG-4 BIFS standard format for broadcasting interactive data service. BIFS enables us to represent contents as a scene which consists of various objects such as AV, image, graphic, and text. It also enables us to control objects by using user interaction. BIFS was designed to be adapted to multimedia systems with various input devices. Today, however, we are in lack of considering about mobile device with restricted input unit. The problem is that a consistent user control of interactive data contents is not possible due to the limitations of input units in T-DMB terminals. To solve the problem, we defined KeyNavigator node that provides a means to select or navigate objects (like menu) in BIFS contents by arrow keys and enter key of mobile terminal. By using KeyNavigater node, not only BIFS contents providers can make BIFS contents as they want, but also users can get a way to control BIFS contents consistently and easily.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2009.11a
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• pp.313-316
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• 2009

지상파 DMB에서는 양방�� 데이터 서비스를 위하여 MPEG-4 BIFS 규격을 사용하고 있다. BIFS는 콘텐츠의 장면을 구성하는 AV, 이미지, 그래픽, 텍스트 등의 다양한 멀티미디어 객체를 장면상에 표현하고, 사용자로부터 입력을 받아 표현된 객체를 조작하도록 하는 것이 가능하다. 그러나 BIFS가 다양한 형태의 입력장치를 갖는 멀티미디어 시스템에 부합되도록 설계되었지만, 오늘날과 같이 제한적 입력장치를 갖는 휴대 단말에 대한 고려가 결여되어 있다. 문제는 DMB 단말들이 제한적 입력을 가질 수밖에 없기 때문에 사용자가 양방향 데이터 콘텐츠를 조작하는 방법이 일관적이지 못하다는 것이다. 본 논문에서는 이러한 문제를 해결하기 위하여 콘텐츠 제공자와 사용자간의 통일되고 효율적인 콘텐츠 조작을 위해 현재의 BIFS 규격에 KeyNavigator 노드를 추가로 정의하였다. KeyNavigator 노드는 BIFS 콘텐츠에서 휴대 단말의 방향키를 이용하여 BIFS 객체간의 이동이나 BIFS 객체를 선택하는 방법을 제공한다. KeyNavigator노드를 사용함으로써 BIFS 콘텐츠 제공자가 의도하는 바에 따라 콘텐츠를 저작할 수 있고 휴대 단말 사용자에게도 통일되고 효율적인 BIFS 콘텐츠 제어 방법을 제시하는 우수한 효과가 있다.

• International journal of advanced smart convergence
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• v.6 no.1
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• pp.26-31
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• 2017

When mobile navigator device accesses data randomly, the cache memory performance is rapidly deteriorated due to low memory access locality. For instance, GPS (General Positioning System) of navigator program for automobiles or drones, that are currently in common use, uses data from 32 satellites and computes current position of a receiver. This computation of positioning is the major part of GPS which accounts more than 50% computation in the program. In this computation task, the satellite signals are received in real time and stored in buffer memories. At this task, since necessary data cannot be sequentially stored, the data is read and used at random. This data accessing patterns are generated randomly, thus, memory system performance is worse by low data locality. As a result, it is difficult to process data in real time due to low data localization. Improving the low memory access locality inherited on the algorithms of conventional communication applications requires a certain optimization technique to solve this problem. In this study, we try to do optimizations with data and memory to improve the locality problem. In experiment, we show that our case study can improve processing speed of core computation and improve our overall system performance by 14%.

• Proceedings of the Korean Society of Toxicology Conference
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• 2005.11a
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• pp.148-153
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• 2005