• Title/Summary/Keyword: 바이오 메디컬

Search Result 81, Processing Time 0.024 seconds

업계소식

  • Korea Far Infrared Association
    • Journal of Korea Far Infrared Association
    • /
    • s.17
    • /
    • pp.17-24
    • /
    • 2003
  • PDF

Integral Imaging Pickup Method of Bio-Medical Data using GPU and Octree (GPU와 옥트리를 이용한 바이오 메디컬 데이터의 집적 영상 픽업 기법)

  • Jang, Young-Hee;Park, Chan;Jung, Ji-Sung;Park, Jae-Hyeung;Kim, Nam;Ha, Jung-Sung;Yoo, Kwan-Hee
    • The Journal of the Korea Contents Association
    • /
    • v.10 no.6
    • /
    • pp.1-9
    • /
    • 2010
  • Recently, 3D stereoscopic display such as 3D stereoscopic cinemas and 3D stereoscopic TV is getting a lot of interest. In general, a stereo image can be used in 3D stereoscopic display. In other hands, for 3D auto stereoscopic display, the elemental images should be generated through visualization from every camera in a lens array. Since a lens array consists of several cameras, it takes a lot of time to generate the elemental images with respect to 3D virtual space, specially, if a large bio-medical volume data is in the 3D virtual space, it will take more time. In order to improve the problem, in this paper, we construct an octree for a given bio-medical volume data and then propose a method to generate the elemental images through efficient rendering of the Octree data using GPU. Experimental results show that the proposed method can obtain more improvement comparable than conventional one, but the development of more efficient method is required.

A Study on the Core Management Competencies of Ventures Formed by Entrepreneur's Incubator Organizations and Startup Experience: Focusing on the Biomedical Industry in Korea (창업가의 배태조직과 창업경험이 형성하는 창업기업의 핵심경영자원에 관한 연구: 한국의 바이오메디컬 산업을 중심으로)

  • Kim, Doyeon;Kim, Yeonbae;Song, Changhyeon
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
    • /
    • v.15 no.1
    • /
    • pp.269-284
    • /
    • 2020
  • This study explored the core management competencies of ventures formed by the entrepreneur's incubator organization and startup experience in the biomedical industry in Korea. An in-depth interview was conducted with 13 entrepreneurs of biomedical ventures. Based on the previous literature, the core management competencies of the ventures, which are influenced by the incubator organization and startup experience, are classified into 'technical competency', 'organization management competency', 'network competency' and 'market pioneering competency'. Analysis of the in-depth interview has revealed 18 factors influencing the formation of the core management competencies of ventures. Qualitative factors that were not addressed by the previous empirical studies were identified in this study. These include 'confidence in technology development', 'way of performing R&D', 'organizational culture' etc. This study is characterized by its scarcity as a qualitative study that deals with the entrepreneurs' prior experience. In addition, this study categorize the core management competencies which are formed by entrepreneurs' incubator organization and startup experience as four factors. This result is expected to be useful in future research.

국내외 모바일 바이오인식 신융합기술 연구사례 분석

  • Kim, Jason
    • Review of KIISC
    • /
    • v.22 no.4
    • /
    • pp.7-13
    • /
    • 2012
  • 전통적으로 바이오인식기술은 출입국심사(전자여권, 승무원 승객 신원확인), 출입통제(도어락, 출입 근태관리), 행정(무인민원발급, 전자조달), 사회복지(미아찾기, 복지기금관리), 의료(원격의료, 의료진 환자 신원확인), 정보통신(휴대폰인증, PC 인터넷 로그인), 금융(온라인 뱅킹, ATM 현금인출) 등 전세계적으로 다방면에서 폭넓게 보급되어 실생활 깊숙이 자리잡게 되었다. 최근 들어서는 2,000만명의 스마트폰 보급이 폭증하고 NFC칩을 이용한 모바일 지급결제서비스가 개시됨에 따라서, 다양한 모바일 응용서비스 출현과 함께 모바일 기기인증 및 모바일 신융합 응용서비스에 대한 보다 강력한 인증수단을 요구하고 있다. 이에 따라, 본 고에서는 스마트폰을 포함한 모바일기기에 적용된 바이오인식 융합기술, 출입국심사에 적용한 모바일 바이오인식기술, 원격진료를 위한 메디컬 바이오인식기술, 지능형 CCTV에 얼굴인식기술 적용 등 국내외 모바일 바이오인식기술 개발동향과 및 표준화 동향을 살펴보고, 향후 모바일 바이오인식 신융합기술 개발 및 국제표준화 추진방향을 모색하고자 한다.

Development of Personalized Exercise Prescription System based on Kinect Sensor (Kinect Sensor 기반의 개인 맞춤형 운동 처방 시스템 개발)

  • Woo, Hyun-Ji;Yu, Mi;Hong, Chul-Un;Kwon, Tae-Kyu
    • The Journal of the Korea Contents Association
    • /
    • v.22 no.3
    • /
    • pp.593-605
    • /
    • 2022
  • The purpose of this study is to investigate the personalized treacmill exercise analysis using a smart mirror based on Kinect sensor. To evaluate the performance of the development system, 10 health males were used to measure the range of the hip joint, knee joint, and ankle joint using a smart mirror when walking on a treadmill. For the validity and reliability of the development system, the validity and reliability were analyzed by comparing the human movement data measured by the Kinect sensor with the human movement data measured by the infrared motion capture device. As a result of validity verification, the correlation coefficient r=0.871~0.919 showed a high positive correlation, and through linear regression analysis, the validity of the smart mirror system was 88%. Reliability verification was conducted by ICC analysis. As a result of reliability verification, the correlation coefficient r=0.743~0.916 showed high correlation between subjects, and the consistency for repeated measurement was also very high at ICC=0.937. In conclusion, despite the disadvantage that Kinect sensor is less accurate than the motion capture system, Kinect is it has the advantage of low price and real-time information feedback. This means that the Kinect sensor is likely to be used as a tool for evaluating exercise prescription through human motion measurement and analysis.

Brain Iron Imaging in Aging and Cognitive Disorders: MRI Approaches (노화 및 인지기능장애에서 뇌 철 영상 기법: 자기공명영상을 이용한 접근)

  • Jinhee Jang;Junghwa Kang;Yoonho Nam
    • Journal of the Korean Society of Radiology
    • /
    • v.83 no.3
    • /
    • pp.527-537
    • /
    • 2022
  • Iron has a vital role in the human body, including the central nervous system. Increased deposition of iron in the brain has been reported in aging and important neurodegenerative diseases. Owing to the unique magnetic resonance properties of iron, MRI has great potential for in vivo assessment of iron deposition, distribution, and non-invasive quantification. In this paper, we will review the MRI methods for iron assessment and their changes in aging and neurodegenerative diseases, focusing on Alzheimer's disease. In addition, we will summarize the limitations of current approaches and introduce new areas and MRI methods for iron imaging that are expected in the future.

Research on domestic and international industrial trends of functional cosmetics (기능성 화장품 국내외 산업 동향 연구)

  • Jang, Min Ah;Lee, Jung Min
    • Journal of the Korean Applied Science and Technology
    • /
    • v.38 no.2
    • /
    • pp.618-627
    • /
    • 2021
  • Functional cosmetics are products that help emphasize certain functions such as skin whitening, wrinkle reduction and UV protection. Functional cosmetic items have expanded since 2017. Korea's functional cosmetics industry has focused on skin whitening, wrinkle reduction, UV protection, and high-performance items including medical cosmetics that are in the research and development stage. France leads the international export performance rankings followed by the United states and Germany. France's cosmetic industry is renowned for emphasizing mechanism driven functional cosmetics in bio-industrial and functional materials, while the United states cosmetic industry is in high demand for luxury premium products. The German cosmetic industry is showing growing strength in bio high tech functional cosmetics. For the Korean cosmetic industry to challenge the top 3, it will also have to develop new material of various functional cosmetics that can be applied to emerging industries, and develop a variety of industry equipment in an environment where politics and economy are backed by more focus on research.

Word Representation Analysis of Bio-marker and Disease Word (바이오 마커와 질병 용어의 단어 표현 분석)

  • Youn, Young-Shin;Nam, Kyung-Min;Kim, Yu-Seop
    • Annual Conference on Human and Language Technology
    • /
    • 2015.10a
    • /
    • pp.165-168
    • /
    • 2015
  • 기계학습 기반의 자연어처리 모듈에서 중요한 단계 중 하나는 모듈의 입력으로 단어를 표현하는 것이다. 벡터의 사이즈가 크고, 단어 간의 유사성의 개념이 존재하지 않는 One-hot 형태와 대조적으로 유사성을 표현하기 위해서 단어를 벡터로 표현하는 단어 표현 (word representation/embedding) 생성 작업은 자연어 처리 작업의 기계학습 모델의 성능을 개선하고, 몇몇 자연어 처리 분야의 모델에서 성능 향상을 보여 주어 많은 관심을 받고 있다. 본 논문에서는 Word2Vec, CCA, 그리고 GloVe를 사용하여 106,552개의 PubMed의 바이오메디컬 논문의 요약으로 구축된 말뭉치 카테고리의 각 단어 표현 모델의 카테고리 분류 능력을 확인한다. 세부적으로 나눈 카테고리에는 질병의 이름, 질병 증상, 그리고 난소암 마커가 있다. 분류 능력을 확인하기 위해 t-SNE를 이용하여 2차원으로 단어 표현 결과를 맵핑하여 가시화 한다.

  • PDF