• Journal of Science Education
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• v.43 no.1
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• pp.157-172
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• 2019

The purpose of this study is to analyze the influence of number of targets on common knowledge generation and brain activity during the common life science discovery task performance. In this study, 35 preliminary life science teachers participated. This study was intentionally made a block designed for EEG recording. EEGs were collected while subjects were performing common discovery tasks. The sLORETA method and the relative power spectrum analysis method were used to analyze the brain activity difference and the role of activated cortical and subcortical regions according to the degree of difficulty of common discovery task. As a result of the study, in the case of the Theta wave, the activity of the Theta wave was significantly decreased in the frontal lobe and increased in the occipital lobe when the difficult difficulty task was compared with the easy difficulty task. In the case of Alpha wave, the activity of Alpha decreased significantly in the frontal lobe when performing difficult task with difficulty. Beta wave activity decreased significantly in the frontal lobe, parietal lobe, and occipital lobe when performing difficult task. Finally, in the case of Gamma wave, activity of Gamma wave decreased in the frontal lobe and activity increased in the parietal lobe and temporal lobe when performing the difficult difficulty task compared to the task of easy difficulty. The level of difficulty of the commonality discovery task is determined by the cingulate gyrus, the cuneus, the lingual gyrus, the posterior cingulate, the precuneus, and the sub-gyral where it was shown to have an impact. Therefore, the difficulty of the commonality discovery task is the process of integrating the visual information extracted from the image and the location information, comparing the attributes of the objects, selecting the necessary information, visual work memory process of the selected information. It can be said to affect the process of perception.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.14 no.5
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• pp.23-29
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• 2015

In this study, human is the subject of driving a car, the actual EEG is a biological information in a number of reactions that are displayed while driving the vehicle by using a measuring device, occurs during travel of the road EEG to be collected, number of experiments the collected material on the basis of changes associated with running time, extracts the factors such as changes due to road geometry, and analysis was performed. The required changes in the EEG occurring during traveling experiment analysis alpha (${\alpha}$) waves, beta (${\beta}$) wave, after the primary extraction in the form of gamma (${\gamma}$) faction, the brain wave frequency of the entire period of the experiment change rate extracts, to calculate the change in frequency in response to EEG characteristics by applying the regression model to observe a learning effect in response to an increase in the number of experiments, as a result, depending on the number of experiments, EEG changes due to individual differences. The show, by repeatedly driving a section like this, it was possible to verify that comfortably travels driver accustomed in accordance with the stored road geometry and signal, safety facilities.

• Journal of the Korea Society of Computer and Information
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• v.29 no.2
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• pp.101-108
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• 2024

AI-OCR (Artificial Intelligence Optical Character Recognition) combines OCR technology with Artificial Intelligence to overcome limitations that required human intervention. To enhance the performance of AI-OCR, training on diverse data sets is essential. However, the recognition rate declines when image colors have similar brightness levels. To solve this issue, this study employs Homomorphic filtering as a preprocessing step to clearly differentiate color levels, thereby increasing text recognition rates. While Homomorphic filtering is ideal for text extraction because of its ability to adjust the high and low frequency components of an image separately using a gamma value, it has the downside of requiring manual adjustments to the gamma value. This research proposes a range for gamma threshold values based on tests involving image contrast, brightness, and entropy. Experimental results using the proposed range of gamma values in Homomorphic filtering suggest a high likelihood for effective AI-OCR performance.

• Journal of the Korean Society of Food Science and Nutrition
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• v.33 no.2
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• pp.427-432
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• 2004

Effect of gamma irradiation on porridge viscosity was studied. Vegetable, beef and pine nut dry flour porridges were irradiated at 0, 2.5, 5, 7.5 and 10 kGy, and rheological characteristics and sensory qualities of irradiated porridge were evaluated. Hunter color lightness were decreased, while redness were increased in dry flour porridge with the increase of irradiation dose. Firmness, consistency, cohesiveness and viscosity of dry flour porridge were significantly decreased with the increase of irradiation dose (p<0.05). Vegetable, beef and pine nut dry flour porridges at dose of 10 kGy reduced the viscosity with 93%, 71% and 55%, respectively Irradiation greatly reduced the viscosity of porridges, probably by starch depolymerization. Irradiation increased the total solids and thus, can improve the calorie up to 30 ㎉. Gamma irradiation was effective in enhancing calorie value of porridge due to reduction of viscosity. As a result of sensory evaluation, overall acceptability and the quality characteristics of irradiated porridges (up to S kGy) were not significantly different from those of the control (p<0.05). In the vegetable porridge, the irradiated porridge at dose of 2.5 kGy was a significantly better overall acceptability than the non-irradiated porridge (p<0.05).

• Journal of the Korean Society of Food Science and Nutrition
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• v.30 no.5
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• pp.854-857
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• 2001

Electron spin resonance (ESR) spectroscopy was used to detect free radicals in irradiated dried vegetables. Dried carrot, mushroom and green onion were irradiated with doses of 0, 1, 3, 5 and 7 kGy at room temperature using a Co-60 irradiator. Free radicals were detected in irradiated dried carrot, green onion and mushroom, while those were not detected in non-irradiated samples. Since concentration of free radicals linearly increased with applied doses (1~7 kGy), highly positive correlation coefficients ($R^2$=0.9747~0.9919) were obtained between irradiation doses and free radical concentrations right after irradiation. Although concentration of free radicals slowly decreased with storage time, the characteristic ESR signals of free radicals slowly decreased with storage time, the characteristic ESR signals of free radical in irradiated samples were observed even after 3 months of storage at room temperature.

• The Journal of Engineering Geology
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• v.21 no.1
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• pp.15-24
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• 2011

To clarify the distribution of joints and fracture zones in the Cheongju granitic mass, we analyzed drill-core and geophysical well-logging data obtained at two boreholes located 30 m from each other. Lithological properties were investigated from the drill-core data and the samples were classified based on the rock mass rating (RMR) and on rock quality designation (RQD). Subsurface discontinuities within soft and hard rocks were examined by geophysical well-logging and cross-hole seismic tomography. The velocity structures constructed from seismic tomography are well correlated with the profile of bedrock depth, previously mapped from a seismic refraction survey. Dynamic elastic moduli, obtained from full waveform sonic and ${\gamma}-{\gamma}$ logging, were interrelated with P-wave velocities to investigate the dynamic properties of the rock mass. Compared with the correlation graph between elastic moduli and velocities for hard rock at borehole BH-1, the correlation points for BH-2 data showed a wide scatter. These scattered points reflect the greater abundance of joints and fractures near borehole BH-2. This interpretation is supported by observations by acoustic televiewer (ATV) and optical televiewer (OTV) image loggings.

• Proceedings of the Korean Society of Dyers and Finishers Conference
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• 2012.03a
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• pp.52-52
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• 2012

Poly(phenylene sulfide)(PPS)는 내열성 및 내화학성이 뛰어난 고분자 소재로, 대표적인 엔지니어링 플라스틱 중 하나이다. PPS는 벤젠 링에 황원자가 파라 치환 형태로 교대로 존재하는 결정성 고분자이며, 다른 대부분의 고성능 섬유고분자가 용융되지 않는 것과는 달리 용융되는 열가소성 소재이다. PPS는 높은 내약품성과 열에 대한 장기적인 안정성을 나타내고, 방염제 첨가 없이도 방염화가 가능하며, 전기 절연성이 뛰어나고, 형태안정성도 우수하다. 또한 $200^{\circ}C$ 이하에서는 어떤 용매에도 용해되지 않으며, $200^{\circ}C$ 이상에서도 몇 가지 방향족 화합물에만 제한된 범위 내에서 용해되는 우수한 내약품성을 나타낸다. PPS의 내열성을 더욱 우수하게 하기 위해 고분자 사슬을 가교할 수 있다. 가교에는 열처리 또는 감마선, 전자선, 자외선 조사를 이용할 수 있는데 열에 의한 가교는 균일한 열전달과 고온이 필요하며 감마선 및 전자선 조사는 설비의 고비용과 방사선 노출 위험으로 인해 비친환경적이다. 반면에 자외선 조사법은 다루기 쉽고 비용이 적게 들고 친환경적인 장점을 가진다. 본 연구에서는 PPS film의 열안정성을 향상시키기 위해 자외선 조사를 이용하여 PPS film의 광가교를 수행하였다.

• Science of Emotion and Sensibility
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• v.16 no.3
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• pp.387-396
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• 2013

In this study, the influence of classroom smells (foot odor, hair smell, sour smell, and sweat smell) of male high school and sweat smell and the offensive odor substance (ammonia and butyric acid) on the electroencephalography (EEG) activities of 20 female volunteers, ranging in age from 30 to 50 were studied. The representative response of brainwave index by these smells stimuli was most pronounced on temporal lobes among the brain lobes. By comparison with background EEG activities on temporal lobes, the smells reduced the relative alpha band power (0.04~0.13) and increased the relative beta band power (0.02~0.06) and the relative gamma band power (0.03~0.09). The alpha wave was deactivated, high beta (18~30Hz) and gamma (30~50Hz) waves were remarkably activated. The order of EEG fluctuation caused by the smell stimulus is as follows; hair smell > butyric acid > foot odor, sour smell > ammonia > sweat smell. It means that the classroom smells cause an excessive brain arousal and straining and may be reducing one's attention and learning ability.

• Sleep Medicine and Psychophysiology
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• v.10 no.2
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• pp.100-107
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• 2003

Objectives: Periodic leg movements in sleep (PLMS) might be subdivided based upon whether or not they are associated with visible EEG microarousals (MA). MA is considered to be responsible for nonrestorative sleep and daytime fatigue. The American Sleep Disorders Association's (ASDA) scoring rules for MA based on visual analysis of the EEG changes suggest that MA should last more than 3 seconds. However, it has been suggested that visual analysis may not detect some changes in EEG activity. This study is aimed at measuring changes in EEG spectra during PLMS without MA in order to better understand the arousing response of PLMS. Methods: Ten drug-free patients (three men and seven women) diagnosed with PLMS by polysomnography were studied. Spectral analysis of the EEG was performed in each patient on 30 episodes of PLMS without MA, chosen randomly across the night in stage 2 non-REM sleep. We applied stricter criteria for MA compared to ASDA, by defining it as a return to alpha and theta frequency lasting at least 1 second. Results: The mean PLMS index was $16.7{\pm}10.0$. The mean PLMS duration was $1.3{\pm}0.7$ seconds. Comparison of 4-second EEG activity both before and after the onset of PLMS without MA using independent t-test showed that the movements were associated with significant increase of relative activity in the delta band (p=0.000) and significant decrease of activity in the alpha (p=0.01) and sigma (p=0.000) bands. No significant decrease in the theta (p=0.05), beta (p=0.129), or gamma (p=0.062) bands was found. Conclusion: PLMS without MA was found to be associated with EEG change characterized by increase in the delta frequency band. This finding seems to be compatible with the hypothesis of an integrative hierarchy of arousal responses of Sforza's. Considering that the subjects had lower PLMS index and shorter PLMS duration than those of the previous study, it is suggested that an even less severe form of PLMS without MA could induce neurophysiologic change, which may potentially be of clinical significance.

• Proceedings of the Optical Society of Korea Conference
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• 2000.08a
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• pp.112-117
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• 2000

생체 센서 (biosensor)란 생체 인식 요소를 구체화시킨 감지기 라고 정의할 수 있다. 생체 센서 중에서도 특히 혈액, 소변, 침 과 같은 생체 액체 성분이나 내쉬는 숨과 같은 기체 생체 성분을 분석하고 정량화하기 위한 생화학적 생체 센서는 최근에 급속한 발달을 하고 있고 이에 따라 이제까지는 시도해볼 수 없었던 새로운 개념의 질병 진단 체계가 도입되고 있다. 이제까지 병원의 임상 병리에서 주로 쓰이고 있는 생체 성분 분석은 방사선 동위원소 면역 분석$^{(1)}$ (Radio immunoassay) 방법인데 이는 항체등에 붙인 방사선 동위원소의 붕괴 시 나오는 감마선의 세기를 감지하여 성분을 정량화한다. 여기에는 방사선 물질 취급상 사용자가 제한적인 불편함이 있다. 두 가지 방법 모두 장비가 고정 배치되어 사용되기 때문에 휴대성과 같은 편리함이 없어서 일반 의사도 사용하기 어려운 점이 있다. 높은 감도, 실시간성, 경제성, 휴대성을 추구하는 생화학적 생체 센서는 이제 진단에 도입되기 시작하여 무한한 가능성을 열고 있다. (중략)