• Proceedings of the Korea Multimedia Society Conference
• /
• 2002.05c
• /
• pp.160-163
• /
• 2002

본 연구는 의료영상 중에 가장 많이 사용하는 의료 영상인 MR영상 중에서 머리 부위의 질병인 뇌종양에 대한 진단을 돕기 위한 연구이다. 뇌 MR영상의 T2강조 영상을 살펴보면, 종양 영역은 명암이 밝게 나타나고 종양 영역의 주변은 어둡게 나타나는 특성을 볼 수 있다. 따라서 제안된 방법은 뇌종양 특성인 명암의 밝기 정보를 기반으로 비정상 영역 내에서 명암 정보가 유사한 영역끼리 그룹화하고 그 중에 가장 밝은 영역을 종양 후보 영역으로 추출한 후 각 후보 영역들 중에서 MBR이 가장 큰 것을 종양으로 검출한다.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.21 no.5
• /
• pp.240-248
• /
• 2020

Over the past 20 years, brain science has developed rapidly thanks to new technologies such as functional magnetic resonance imaging (fMRI), leading to more accurate knowledge of human nature and behavioral changes. This knowledge is also actively applied in the field of management. This research aimed to gain insights into how neuroscience can be incorporated into management through the case of Midas IT Co. This construction software company has a separate organization with the purpose of studying brain science, and it makes and implements human resource management policies based on brain science. The founder Lee Hyung-woo has a humanist management philosophy, and the company's brain science research supports that philosophy. The case study method was adopted as the research method, and procedures such as interviews and direct observation, participation observation, and document information were carried out. The company's human resource management system can be explained by a brain science model called "SCARF", which combines various neuroscience discoveries. As this model suggests, the company has improved the trust and satisfaction of its members by reducing threat of status and by increasing certainty, autonomy, relationship, and fairness in the workplace, resulting in the creation of a platform for creativity, integrity, and high performance.

• The Magazine of the IEIE
• /
• v.42 no.2
• /
• pp.40-44
• /
• 2015

• Journal of the Korean Society of Radiology
• /
• v.15 no.4
• /
• pp.507-518
• /
• 2021

Magnetic resonance imaging (MRI) is a key technology that has been seeing increasing use in studying the structural and functional innerworkings of the brain. Analyzing the variability of brain connectome through tractography analysis has been used to increase our understanding of disease pathology in humans. However, there lacks standardization of analysis methods for small animals such as mice, and lacks scientific consensus in regard to accurate preprocessing strategies and atlas-based neuroinformatics for images. In addition, it is difficult to acquire high resolution images for mice due to how significantly smaller a mouse brain is compared to that of humans. In this study, we present an Allen Mouse Brain Atlas-based image data analysis pipeline for structural connectivity analysis involving structural region segmentation using mouse brain structural images and diffusion tensor images. Each analysis method enabled the analysis of mouse brain image data using reliable software that has already been verified with human and mouse image data. In addition, the pipeline presented in this study is optimized for users to efficiently process data by organizing functions necessary for mouse tractography among complex analysis processes and various functions.

• Journal of The Korean Association For Science Education
• /
• v.29 no.8
• /
• pp.990-1010
• /
• 2009

To derive brain-based evolutionary educational principles, this study examined the studies on the structural and functional characteristics of human brain, the biological evolution occurring between- and within-organism, and the evolutionary attributes embedded in science itself and individual scientist's scientific activities. On the basis of the core characteristics of human brain and the framework of universal Darwinism or universal selectionism consisted of generation-test-retention (g-t-r) processes, a Model of Brain-based Evolutionary Scientific Teaching for Learning (BEST-L) was developed. The model consists of three components, three steps, and assessment part. The three components are the affective (A), behavioral (B), and cognitive (C) components. Each component consists of three steps of Diversifying $\rightarrow$ Emulating (Executing, Estimating, Evaluating) $\rightarrow$ Furthering (ABC-DEF). The model is 'brain-based' in the aspect of consecutive incorporation of the affective component which is based on limbic system of human brain associated with emotions, the behavioral component which is associated with the occipital lobes performing visual processing, temporal lobes performing functions of language generation and understanding, and parietal lobes, which receive and process sensory information and execute motor activities of the body, and the cognitive component which is based on the prefrontal lobes involved in thinking, planning, judging, and problem solving. On the other hand, the model is 'evolutionary' in the aspect of proceeding according to the processes of the diversifying step to generate variants in each component, the emulating step to test and select useful or valuable things among the variants, and the furthering step to extend or apply the selected things. For three components of ABC, to reflect the importance of emotional factors as a starting point in scientific activity as well as the dominant role of limbic system relative to cortex of brain, the model emphasizes the DARWIN (Driving Affective Realm for Whole Intellectual Network) approach.

• 한국정보교육학회:학술대회논문집
• /
• 2007.01a
• /
• pp.245-254
• /
• 2007

본연구는 문제중심해결 과정에서 나타나는 뇌파를 활용한 뉴로피드백 훈련방법으로 자신의 의지에 의해 적절한 뇌파를 구성하여 문제기반 인지능력을 향상시키게 된다. 다양한 영재학습 유형 및 영재아를 뇌파분석에 따른 영역화를 통하여 객관적인 문제기반접근을 통한 표준화된 학습모형을 설계한 것이다. 뇌파는 뇌의 활동상태에 따라 다르게 나타나며, 자신의 뇌에 다양한 훈련으로 피드백을 받게 되면 특정파에 대한 조절능력을 갖게 된다. 본 연구에서는 뇌파조절을 통한 영재학습모형을 개발하여 영재학습능력 향상을 위한 영재프로그램의 설계모형을 개발하였다.

• Journal of the Korean Society of Radiology
• /
• v.7 no.6
• /
• pp.433-439
• /
• 2013

In this study, human head-mimicking phantom was developed for brain disease treatment study using focused ultrasound. Acoustic parameters of skin, skull and brain were investigated through literature investigation and adequate substitutes according to each tissue were suggested. In the case of skin phantom, construction ratio of glycerol-based TMM phantom was controlled to mimic real skin. The suitability of skull substitutes was evaluated through measurement of acoustic parameters. In the case of brain phantom, transparent egg white phantom was used to observe thermal properties of focused ultrasound. Combined human-head-mimicking phantom using each substitutes was fabricated for development of brain disease treatment protocol. Denaturation of brain phantom according to ultrasonic condition was observed for validation.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2023.05a
• /
• pp.13-14
• /
• 2023

뇌의 전기적 신경활동을 측정하는 뇌전도(EEG)는 저렴하게 취득할 수 있고 높은 시간 해상도를 갖는 반면 공간적 정보를 제공하지는 않는다. 기능적 자기공명영상(fMRI)은 혈류변화를 감지하여 뇌활동을 측정하는 방식으로서 높은 공간 분해능을 갖지만 고가의 비용과 설비를 요구한다. 최근 저렴하게 취득할 수 있는 EEG 데이터로부터 딥러닝을 사용하여 fMRI 합성영상을 생성하는 기술이 제안되었지만, 저주파수 대역에서 EEG와 fMRI 간의 뇌과학적 상관관계를 반영하지는 않는다. 본 연구에서는 휴식상태에서 취득된 EEG 데이터를 스펙트로그램으로 변환한 후 저주파수 특성을 사용하여 fMRI 합성영상을 생성하는 U-net 기반의 크로스 모달리티 변환 모델의 실현가능성을 평가하였다.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2008.11a
• /
• pp.1152-1153
• /
• 2008

효율적인 학습 방법들을 도입한 교육용 시스템에 대한 연구가 활성화되어 있는 가운데, 사람의 뇌의 장기기억 메커니즘을 이용하여 교육용 시스템과 다양한 방향에서 적용하고 그 유효성을 밝히는 연구들이 많이 진행되고 있다. 학생들에게 학습에 용이한 교육 시스템을 적용함에 있어 시간과 장소에 상관없이 접근이 용이하도록 인터넷과 연계된 시스템의 유용성은 이미 입증된 바 있다. 본 연구에서는 웹기반 교육 시스템에서 장기기억이 용이하도록 학습 내용의 구성과 에빙하우스 망각 곡선에 기반한 효율적인 반복학습 시스템을 설계한다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2015.10a
• /
• pp.924-926
• /
• 2015

In this paper, we use the interface, which many countries concentrates research of Brain - Computer Interface with the device and MyndPlay based on the IoT intelligent Arduino. Finally we will make the Brain - Computer Connection environment, the purpose of Brain - Computer Interface. Recognizes the EEG of a person who wearing the equipment, analyze, classify, and we did a research to design an intelligent thing to suit user's condition. In addition, we use the XBee, and Bluetooth to communicate to other devices, such as smart phone. In conclusion, this paper check users current status via brain waves, and it allows to control the power and other objects by using the EEG(Electroencephalography).