• Journal of the Korean Society of Physical Medicine
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• v.5 no.3
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• pp.395-404
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• 2010

Purpose : The object of this study was to examine the effect of motor learning on brain activation depending on the method of motor learning. Methods : The brain activation was measured in 9 men by fMRI. The subjects were divided into the following groups depending on the method of motor learning: actually practice (AP, n=3) group, action observation (AO, n=3) group and motor imagery (MI, n=3) group. In order to examine the effect of motor learning depending on the method of motor learning, the brain activation data were measured during learning. For the investigation of brain activation, fMRI was conducted. Results : The results of brain activation measured before and during learning were as follows; (1) During learning, the AP group showed the activation in the following areas: primary motor area located in precentral gyrus, somatosensory area located in postcentral gyrus, supplemental motor area and prefrontal association area located in precentral gyrus, middle frontal gyrus and superior frontal gyrus, speech area located in superior temporal gyrus and middle temporal gyrus, Broca's area located in inferior parietal lobe and somatosensory association area of precuneus; (2) During learning, the AD groups showed the activation in the following areas: primary motor area located in precentral gyrus, prefrontal association area located in middle frontal gyrus and superior frontal gyrus, speech area and supplemental motor area located in superior temporal gyrus and middle temporal gyrus, Broca's area located in inferior parietal lobe, somatosensory area and primary motor area located in precentral gyrus of right cerebrum and left cerebrum, and somatosensory association area located in precuneus; and (3) During learning, the MI group showed activation in the following areas: speech area located in superior temporal gyrus, supplemental area, and somatosensory association area located in precuneus. Conclusion : Given the results above, in this study, the action observation was suggested as an alternative to motor learning through actual practice in serial reaction time task of motor learning. It showed the similar results to the actual practice in brain activation which were obtained using activation of mirror neuron. This result suggests that the brain activation occurred by the activation of mirror neuron, which was observed during action observation. The mirror neurons are located in primary motor area, somatosensory area, premotor area, supplemental motor area and somatosensory association area. In sum, when we plan a training program through physiotherapy to increase the effect during reeducation of movement, the action observation as well as best resting is necessary in increasing the effect of motor learning with the patients who cannot be engaged in actual practice.

• Journal of Environmental Health Sciences
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• v.31 no.1
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• pp.1-6
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• 2005

This study was conducted to identify the runoff characteristics of non-point source according to rainfall in Nam watershed. Land-uses of the Nam watershed were surveyed paddy field 4.5%, crop field 6.8%, mountainous 78.7%, urban 2.4%, and etc. 7.7%. Mean runoff coefficients in each area were observed Ⅰ area 0.08, Ⅱ area 0.08, and Ⅲ area 0.05. In the relationship between the rainfall and peak-flow, correlation coefficients(r) were investigated Ⅰ area -0.8609, Ⅱ area 0.6035, and Ⅲ area -0.4913. In the relationship between the antecedent dry period and first flow runoff, correlation coefficients(r) were investigated Ⅰ area -0.9093, Ⅱ area -0.1039, and Ⅲ area -0.7317. The discharge of pollutant concentrations relates to the flow rate of storm-water. In the relationship between the rainfall and watershed loading, exponent values of BOD, COD, SS, and T-N were estimated to 1.2751, 1.2003, 1.3744, and 1.1262, respectively.

• Proceedings of the KIEE Conference
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• summer
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• pp.33-35
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• 2004

The secondary voltage control is the method the pilot bus controls the voltage of the voltage control area sufficiently uncoupled form its neighbours within a area to k slightly influenced by the actions carried out in the other areas. This paper presents the comparison of three methods which determines the voltage control area for the secondary voltage control in power system. Additionally, this paper selects the fitted thing of three methods determining the voltage control area, VSSA, and using it applies the procedure determining the voltage control area to KEPCO system.

• Journal of Environmental Science International
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• v.19 no.8
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• pp.1025-1034
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• 2010

This study was to analyze changes of landuse and environmental value of cultivate land for eight years from 1999 to 2007 year in greenbelt area, Seoul. Greenbelt area decreased from $166.82\;km^2$ in 1999 to $156.50\;km^2$ in 2007 according to removal policy. Regarding landuse status in 2007, forest field area accounted for 64.16 %, dry paddy area 4.10 %, facilitated farming area 3.82 %, rice paddy area 2.95 % out of total greenbelt area. Cultivate land occupied wide spaces with dry paddy area, facilitated farming area, tree nursery in Seocho-gu, Gangnam-gu and Gangdong-gu. Changes of landuse were serious in Seocho-gu. The trend of changes of landuse for eight years is that rice paddy area was changed dry paddy area by laying the ground and dry paddy area was changed facilitated farming area for intensive agriculture. Rice paddy area could change without permission by laying the ground in below 50 cm height and it was changed to green houses due to increase in profit and modern policy of agriculture. It is nessary to monitor landuse regularly, improve regulation for change of landuse, compensate a property loss for maintaining environmental value in greenbelt area.

• Journal of Engineering Education Research
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• v.17 no.1
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• pp.57-64
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• 2014

This study has a purpose mainly to analyze the team interaction change by the duration of time in the Capstone-Design activities according to MBTI Modes. Study objects are four students of Mechanical Engineering at School of Engineering in C University located in Daejeon, and the team interaction change was analyzed through IPA (Interaction Process Analysis) method. From the result, first, ESTP showed the change of increase in interaction by the time duration of initial, mid, late periods in 'social-emotional area: positive' and 'task area: question', and the change of decrease by the same time duration of periods in 'task area: solution'. Also, there was no change in 'social-emotional area: negative' because there was no interaction. Second, ESFJ showed the change of decrease in interaction by the time duration of initial, mid, late periods in 'social-emotional area: positive' and 'task area: question', and the change of increase by the same time duration of periods in 'task area: solution' and 'social-emotional area: negative'. Third, ISTJ showed the change of decrease in interaction by the time duration of initial, mid, late periods in 'social-emotional area: positive', 'task area: question' and 'social-emotional area: negative', and the change of increase by the same time duration of periods in 'task area: solution'. Fourth, ENFP showed the change of decrease by the time duration of initial, mid, late periods in 'social-emotional area: positive', 'task area: solution' and 'social-emotional area: negative', and the change of increase by the same time duration of periods in 'task area: question'.

• Journal of the Korean earth science society
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• v.43 no.4
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• pp.539-556
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• 2022

In the coastal areas of Jeju Island, composed of volcanic rocks, saltwater intrusion occurs due to excessive pumping and geological characteristics. Groundwater level and electrical conductivity (EC) in multi-depth monitoring wells in coastal areas were characterized from 2005 to 2019. During the period of the lowest monthly precipitation, from November 2017 until February 2018, groundwater level decreased by 0.32-0.91 m. During the period of the highest monthly precipitation, from September 2019 until October 2019, groundwater level increased by 0.46-2.95 m. Groundwater level fluctuation between the dry and wet seasons ranged from 0.79 to 3.73 m (average 1.82 m) in the eastern area, from 0.47 to 6.57 m (average 2.55 m) in the western area, from 0.77 to 8.59 m (average 3.53 m) in the southern area, and from 1.06 to 12.36 m (average 5.92 m) in the northern area. In 2013, when the area experienced decreased annual precipitation, at some monitoring wells in the western area, the groundwater level decreased due to excessive groundwater pumping and saltwater intrusion. Based on EC values of 10,000 ㎲/cm or more, saltwater intrusion from the coastline was 10.2 km in the eastern area, 4.1 km in the western area, 5.8 km in the southern area, and 5.7 km in the northern area. Autocorrelation analysis of groundwater level revealed that the arithmetic mean of delay time was 0.43 months in the eastern area, 0.87 months in the northern area, 10.93 months in the southern area, and 17.02 months in the western area. Although a few monitoring wells were strongly influenced by nearby pumping wells, the cross-correlation function of the groundwater level was the highest with precipitation in most wells. The seasonal autoregressive integrated moving average model indicated that the groundwater level will decrease in most wells in the western area and decrease or increase in different wells in the eastern area.

• Journal of environmental and Sanitary engineering
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• v.24 no.1
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• pp.25-32
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• 2009

The analyzed results of the heavy metal concentration of air and soil at the D iron-manufacturing company area were as follows; The concentration of $PM_{2.5}$ in the case area exceeded the air standard level in 3 seasons except summer. The $PM_{10}$ level was similar to the standard level, which was similar to the standard level, which was $50{\mu}g/m^3$. The Pb concentration of air in the case area was $0.13{\mu}g/m^3$, which was slightly higher than $0.11{\mu}g/m^3$ in the control area. The concentration of Cd and Cr were higher in the control area. The heavy metal (Pb) concentration of soil in the case area was $10.7{\mu}g/m^3$, which was higher than that of the control area. For these results, it is necessary for the D iron-manufacturing company area to consider a counter plan for dusts and are duction plan for the heavy metal (Pb).

• Biomedical Science Letters
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• v.26 no.3
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• pp.186-191
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• 2020

This study was designed to investigate the median nerve cross-sectional area of the upper extremity which is the main cause of CTS in the 20s and 30s. The median nerve cross-sectional area (MNC-area) of each part of the upper limb was measured in healthy 20s and 30s females and males without neurological diseases or other diseases. This MNC-area was compared with the hand, wrist, finger, and other body indexes. The research group was divided into 20s female and male groups, and the 30s were also divided into female and male groups. In the comparison between the ages, the hand, and wrist configurations in the 30s were significantly higher than those of the 20s. The mean median nerve cross-sectional area was significantly larger in the male group than in the female group in both 20s and 30s, and it was larger in both men and women than in the 20s. Hand and wrist configurations were also positively correlated with the median nerve cross-sectional area in both 20s and 30s. The median values of hand ratio and wrist ratio were 2.26 and 0.65, respectively. This median value of hand ratio was inversely correlated with the median nerve cross-sectional area. The median nerve cross-area of the 20s was 6.88~7.38 ㎟ in the male group and 5.69~6.99 ㎟ in the female group, respectively. The median nerve cross-area of the 30s was 6.32~8.89 ㎟ in the male group and 6.15~7.17 ㎟ in the female group, respectively. The mean median nerve cross-sectional area was positively correlated with body mass index in both groups. Most of the variables were higher in their 30s than in their 20s.

• Korean Journal of Geomatics
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• v.2 no.1
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• pp.37-46
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• 2002

Accurate classification of water area is an preliminary step to accurately analyze the flooded area and damages caused by flood. This step is especially useful for monitoring the region where annually repeating flood is a problem. The accurate estimation of flooded area can ultimately be utilized as a primary source of information for the policy decision. Although SAR (Synthetic Aperture Radar) imagery with its own energy source is sensitive to the water area, its shadow effect similar to the reflectance signature of the water area should be carefully checked before accurate classification. Especially when we want to identify small flood area with mountainous environment, the step for removing shadow effect turns out to be essential in order to accurately classify the water area from the SAR imagery. In this paper, the flood area was classified and monitored using multi-temporal RADARSAT SAR images of Ok-Chun and Bo-Eun located in Chung-Book Province taken in 12th (during the flood) and 19th (after the flood) of August, 1998. We applied several steps of geometric and radiometric calculations to the SAR imagery. First we reduced the speckle noise of two SAR images and then calculated the radar backscattering coefficient $(\sigma^0)$. After that we performed the ortho-rectification via satellite orbit modeling developed in this study using the ephemeris information of the satellite images and ground control points. We also corrected radiometric distortion caused by the terrain relief. Finally, the water area was identified from two images and the flood area is calculated accordingly. The identified flood area is analyzed by overlapping with the existing land use map.

• Journal of Yeungnam Medical Science
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• v.10 no.1
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• pp.91-102
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• 1993

This study was carried out to assess medical care expenditure of residents in urban poor area. The study population included 377 family members of 85 households in the poor area of Daemyung 8-Dong, Nam-Gu, Taegu and 442 family members of 96 households in a control area. The data was collected through self-administered questionnaires completed by housewives. The survey was conducted from March 1 to May 31, 1992. The mean age was 31.1 years in the poor area and 37.1 years in the control area. The average number of households per house was 4.5 in the poor area and 4.5 in the control area. The frequency of medical care utilization per household in a one month period was 4.6 in the poor area and 4.3 in the control area. The average number of days of utilization was 12.9 in the poor area and 12.5 in the control area. The average monthly income of a househlod in the poor area was 848,600 Won compared to the control area's 1,752,300 Won. The average monthly consumption expenditure of a household in the poor area was 568,800 Won and that in the control area 1,238,400 Won. The average medical care monthly expenditure per household was 34,500 Won in the poor area and 58,400 Won in the control area. The proportion of the medical care expenditure to monthly income and to monthly consumption expenditure was 4.1% and 6.1% respectively in the poor area, and 3.3% and 4.7%, respectively in the control area. The premium of medical insurance was 1.5% in both areas. The proportion of cost for drug was 57.4%, for medical appliance was 1.2%, and for medical treatment was 41.1% in the poor area and in the control area 52.4%, 1.9%, 45.7%, respectively. The highest proportion of medical care expenditures in the poor area was herb clinic utilization (36.9%), while hospital and clinic(37.8%) was the highest proportion in the control area. Mean medical care expenditure per visit was 7,400 Won in the poor area and 12,600 Won in the control area. Mean medical care expinditure per day was 2.800 Won in the poor area and 6,300 Won in the control area.