• 산업경영시스템학회지
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• 제33권1호
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• pp.108-113
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• 2010

The purpose of this study was to investigate the differences of driving performance and physiological responses between young male and female drivers for unexpected situation using a graphic vehicle simulator. The participants included 20 college graduates; 23 males aged $24.3\;{\pm}\;1.4$ with $2.3\;{\pm}\;1.5$ years of driving experiences and 23 females aged $23.2\;{\pm}\;2.1$ with $2.2\;{\pm}\;1.7$ years of driving experience. The participants were instructed to drive the vehicle simulator which was programed unexpected situation for two minutes. The physiological measurements used were autonomic responses of electrocardiogram (ECG) and skin conductance response (SCR), and the driving performance measurements used were the reaction time of break and the rate of collision for unexpected situation. Results showed that there were no significant differences between male and female drivers in the reaction time of break and the rate of collision for unexpected situation. Averaged R-R interval decreased and LF IHF and SCL amplitude increased for unexpected situation. There were no significant differences between male and female in the averaged R-R interval and LF/HF for unexpected situation. On the other hand, SCL amplitude of female was higher than male. Rising time to maximum SCL amplitude of female was longer than male.

• 한국의학물리학회지:의학물리
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• 제28권3호
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• pp.77-82
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• 2017

We proposed the objective ROC analysis method based on the setting of threshold value for evaluation of single photon emission computed tomography (SPECT) image. This proposed ROC analysis method uses the quantification computational threshold value to each signal on the SPECT image. The SPECT images for this study were acquired by using Monte Carlo n-particle extended simulation code (MCNPX, Ver. 2.6.0, Los Alamos National Laboratory, USA). The basic SPECT detectors and specific water phantom were realized in the simulation, and we could get the simulation results by the simulation operation. We tried to analyze the reconstructed images using threshold value application based objective ROC method. We can get the accuracy information of reconstructed region in the image. This proposed ROC technique can be helpful when we have to evaluate the weak signal for the NM image. In this study, the proposed threshold value based computational ROC analysis method can provide better objectivity than the conventional ROC analysis method.

• Genomics & Informatics
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• 제3권1호
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• pp.30-34
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• 2005

Microarray technology makes it possible to measure the expressions of tens of thousands of genes simultaneously under various experimental conditions. Identifying differentially expressed genes in each single experimental condition is one of the most common first steps in microarray gene expression data analysis. Reasonable choices of thresholds for determining differentially expressed genes are used for the next-stap-analysis with suitable statistical significances. We present a supervised model for identifying DEGs using pathway information based on the global connectivity structure. Pathway information can be regarded as a collection of biological knowledge, thus we are trying to determine the optimal threshold so that the consequential connectivity structure can be the most compatible with the existing pathway information. The significant feature of our model is that it uses established knowledge as a reference to determine the direction of analyzing microarray dataset. In the most of previous work, only intrinsic information in the miroarray is used for the identifying DEGs. We hope that our proposed method could contribute to construct biologically meaningful structure from microarray datasets.

• 한국의학물리학회지:의학물리
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• 제31권4호
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• pp.172-178
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• 2020

Purpose: Radiation oncology information systems (ROIS) have evolved toward connecting and integrating information between radiation treatment procedures. ROIS can play an important role in utilizing modern radiotherapy techniques that have high complexity and require a large amount of information. Methods: Using Access^TM software, we have developed a relational database that is highly optimized for a radiotherapeutic workflow. Results: The prescription table was chosen as the core table to which the other tables were connected, and three types of forms-charts, worklists, and calendars- were suggested. A fast and reliable channel for delivering orders and remarks according to changes in the situation was also designed. Conclusions: We expect our ROIS design to inspire those who need to develop and manage an individual ROIS suitable for their radiation oncology departments at a low cost.

• 대한의용생체공학회:의공학회지
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• 제30권4호
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• pp.347-354
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• 2009

For the reliable transmission of meaningful visual information using prosthetic electrical stimulation, it is required to develop an effective stimulation strategy for the generation of electrical pulse trains based on input visual information. The characteristics of neuronal activities of retinal ganglion cells (RGCs) evoked by electrical stimulation should be understood for this purpose. In this study, for the development of an optimal stimulation strategy for visual prosthesis, we analyzed the neuronal responses of RGCs in rd1 mouse, photoreceptor-degenerated retina of animal model of retinal diseases (retinitis pigmentosa). Based on the in-vitro model of epiretinal prosthesis which consists of planar multielectrode array (MEA) and retinal patch, we recorded and analyzed multiunit RGC activities evoked by amplitude-modulated electrical pulse trains. Two modes of responses were observed. Short-latency responses occurring at 3 ms after the stimulation were estimated to be from direct stimulation of RGCs. Long-latency responses were also observed mainly at 2 - 100 ms after stimulation and showed rhythmic firing with same frequency as the oscillatory background field potential. The long-latency responses could be modulated by pulse amplitude and duration. From the results, we expect that optimal stimulation conditions such as pulse amplitude and pulse duration can be determined for the successful transmission of visual information by electrical stimulation.

• 한국컴퓨터정보학회논문지
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• 제22권6호
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• pp.131-140
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• 2017

As video equipments such as CCTV are used for various purposes in fields of society, digital video data processing technology such as automatic motion detection is essential. In this paper, we proposed and implemented a more stable and accurate motion detection system based on background subtraction technique. We could improve the accuracy and stability of motion detection over existing methods by efficiently processing color information of digital image data. We divided the procedure of color information processing into each components of color information : brightness component, color component of color information and merge them. We can process each component's characteristics with maximum consideration. Our color information processing provides more efficient color information in motion detection than the existing methods. We improved the success rate of motion detection by our background update process that analyzed the characteristics of the moving background in the natural environment and reflected it to the background image.

• 한국자기학회:학술대회 개요집
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• 한국자기학회 2008년도 Asian Magnetics Conference
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• pp.149.1-149.1
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• 2008

• 한국자기공명학회논문지
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• 제3권1호
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• pp.1-11
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• 1999

Localized in vivo 31P NMR spectroscopy was applied to evaluate the postmortem catabolism of high energy phosphates in rabbit skeletal muscle tissue. In the premortem processes all of the important high energy phosphate metabolites were characterized, and particularly phosphocreatine (PCr) resonance signal was the strongest. In the immediate phases of the postmortem processes the signal intensities of PCr, phosphomonoesters (PME), phosphodiesters(PDE), $\alpha$-, $\beta$- and ${\gamma}$-adenosine triphosphate (ATP) resonance began to decrease while the signal intensity of inorganic phosphorus (Pi) resonance began to increase. The present study suggests that localized in vivo 31P NMR spectroscopy may provide more precise biochemical information of the early postmortem period based on the metabolic alterations of phosphate. The unique ability of localized in vivo 31P NMR spectroscopy to offer noninvasive information about tissue biochemistry in animals as well as human may have an impact on thanatochronology and medicolegal science.

• 한국문헌정보학회지
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• 제51권4호
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• pp.77-97
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• 2017

최근 생의학 분야의 학술 문헌이 기하급수적으로 급증함에 따라 관련 분야 연구자들은 선행 연구 및 연구 동향 파악에 어려움을 겪고 있다. 이에 효율적인 선행 연구 및 연구 동향 파악을 위한 정보 추출 기술이 요구되며, 학술 문헌의 정보 추출을 위한 개체인식 및 개체 간의 생의학 이벤트 추출 연구가 활발히 진행되고 있다. 본 연구는 이에 심층 학습(Deep Learning)의 기법 중 하나인 컨볼루션 네트워크(Convolutional Neural Networks, CNN) 모델을 기반으로 이벤트 내의 개체 유형 정보의 적용 위치와 함께, 이벤트 식별 및 분류를 고려하여 총 8가지의 모델을 구성하여 실험하였다. 실험 결과, 본 연구에서 제안하는 모델 중 최고성능을 보인 개체 유형 완전연결 모델이 이벤트 분류 실험에서 F-점수 72.09%의 높은 성능을 보였으나, 이벤트 추출 실험에서는 학습 컬렉션의 불균형 문제 및 이벤트 식별 모델의 성능 저조 등으로 인하여 F-점수 21.81%의 비교적 저조한 성능을 보였다.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2002년도 ITC-CSCC -1
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• pp.500-503
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• 2002

Biomedical signals are ubiquitously contaminated and degraded by background noise which span nearly all frequency bandwidths. This paper proposes the MADF (multiplication free adaptive digital filter) algorithm to cancel the noise. And the convergence characteristics of the algorithm is analyzed. In the experimental results, the MADF algorithm has the advantage in which has superior to a condition of low-frequency and slow data speed. This application gives an important significance in ensuring the objectivity of clinical information and in promoting the representation and the disease diagnosis.