• 한국작물학회지
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• 제47권4호
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• pp.301-304
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• 2002

The variation of alternative and cytochrome respiration during ripening in rice leaves (Oryza sativa L. cv. Takanari) was examined. The capacity of both respiration pathway was measured by inhibitor titration method using gas-phase oxygen electrodes. The alternative respiration rate decreased from 31.3% of the total respiration rate at around heading to 11.7% at 34 days after heading in the first fully expanded leaf from the top, and further to 6.4 % at 34 days after heading in the fourth leaf from the top. In contrast, the proportion of cytochrome respiration to total respiration increased with leaf senescence. The possible cause of alternative respiration as either an increase in inefficient respiration or a decrease in growth efficiency during ripening was discussed.

• 대한한의진단학회지
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• 제15권1호
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• pp.95-110
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• 2011

Objectives: The aim of the present study is to define breath-holding in spontaneous respiration and to observe the difference of respiratory variables, EEG and HRV. Methods: 46 healthy young volunteers (M:F=31:15) were recruited in the study. By measuring and analysing respiration, EEG and HRV in the spontaneous respiration. We segment subjects by 100% of coefficient of variation in the breath-holding. Results & Conclusions: 1. There is a period of breath-holding after expiration and before endeavored inspiration, in the course of respiration. The greater coefficient of variation in the breath-holding, longer respiration period mean, inspiration period mean and breath-holding mean in respiratory variable. 2. There was no significant difference between HRV parameters. 3. The greater coefficient of variation in the breath-holding, the higher ${\beta}$ frequency and ${\gamma}$ frequency in the left prefrontal lobe.

• Journal of Forest and Environmental Science
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• 제39권1호
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• pp.13-19
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• 2023

We investigated Soil respiration in Bluepine forest of western Bhutan, in relation to soil temperature, moisture content and soil pH and it was aimed at establishing variability in space and time. The Bluepine forest thrives in the typical shallow dry valleys in the inter-montane Bhutan Himalaya, which is formed by ascending wind from the valley bottom, which carries moisture from the river away to the mountain ridges. Stratified random sampling was applied and the study site was classified into top, mid, low slope and further randomized sample of n=20 from 30 m×30 m from each altitude. The overall soil respiration mean for the forest was found 2248.17 CO₂ g yr^-1 and it is ~613.58 C g yr^-1. The RS from three sites showed a marginal variation amongst sites, lower slope (2,309 m) was 4.64 μ mol m^-2 s^-1, mid slope (2,631 m) was 6.78 μ mol m^-2 s^-1 and top slope (3,027 m) was 6.33 μ mol m^-2 s^-1 and mean of 5.92 μ mol m^-2 s^-1, SE=0.25 for the forest. Temporal distribution and variations were observed more pronounced than in the space variation. Soil respiration was found highest during March and lowest in September. Soil temperature had almost inverse trend against soil respiration and dropped a low in February and peak in July. The moisture in the soil changed across months with precipitation and pH remained almost consistent across the period. The soil respiration and soil temperature had significant relationship R²=-0.61, p=0.027 and other variables were found insignificant. Similar relationship are reported for dry season in a tropical forest soil respiration. Soil temperature was found to have most pronounced effect on the soil respiration of the forest under study.

• Journal of Ecology and Environment
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• 제35권4호
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• pp.307-311
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• 2012

This study was conducted to evaluate the dynamics of soil respiration (total soil and heterotrophic respiration) following fertilizer application in red pine forests. Fertilizer (N:P:K = 113:150:37 kg/ha), which reflects current practices in Korean forest, was applied in April 2011, and total soil and heterotrophic respiration rates were monitored from April 2011 to March 2012. Monthly variation of total soil and heterotrophic respiration rates were similar between the fertilizer and control treatments, as soil temperature was the dominant factor controlling the both rates. Total soil respiration rates during the study period were not significantly different between the fertilizer (0.504 g $CO_2\;m^{-2}\;h^{-1}$) and control (0.501 g $CO_2\;m^{-2}\;h^{-1}$) treatments. However, the proportion of heterotrophic respiration was higher in the fertilizer (78% of total soil respiration rates) than in the control (62% of total soil respiration rates) treatments. These results suggest that current fertilizer practices in Korea forest soil do not substantially affect total soil respiration rates.

• 센서학회지
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• 제17권6호
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• pp.447-453
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• 2008

Respiration rate is one of the important vital signs. Photo-plethysmography (PPG) measurement especially on a finger has been widely used in pulse oximetry and also used in estimating respiration rate. It is well known that PPG contains respiration-induced intensity variation (RIIV) signal. However, the accuracy of finger PPG method has been controversial. We introduced a new technique of enhancing motion artifact by respiration. This was achieved simply by measuring PPG on the thorax. We examined the accuracy of these two PPG methods by comparing with two existing methods based on thoracic volume and nostril temperature changes. PPG sensing on finger tip, which is the most common site of measurement, produced 6.1 % error. On the other hand, our method of PPG sensing on the thorax achieved 0.4 % error which was a significant improvement. Finger PPG is sensitive to motion artifact and it is difficult to recover fully small respiratory signal buried in waveform dominated by absorption due to blood volume changes. Thorax PPG is poor to represent blood volumes changes since it contains substantial motion artifact due to respiration. Ironically, this inferior quality ensures higher accuracy in terms of respiration measurement. Extreme low-cost and small-sized LED/silicon detector and non-constrained reflection measurement provide a great candidate for respiration estimation in ubiquitous or personal health monitoring.

• 한국의학물리학회:학술대회논문집
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• 한국의학물리학회 2002년도 Proceedings
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• pp.90-93
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• 2002

In particle radiotherapy, a shape of the beam to conform the irradiation field is statically defined by the compensator, collimator and potal devices at the outside of the patient body. However the target such as lung or liver cancer moves along with respiration. This increases the irradiated volume of normal tissue. Prior discussions about organ motions along with respiration have been mainly focused on inferior-superior movement that was usually perpendicular to beam axis. On the other hand, the change of the target depth along the beam axis is very important especially in particle radiotherapy, because the range end of beam (Bragg peak) is so sharp as to be matched to distal edge of the target. In treatment planning, the range of the particle beam inside the body is calculated using a calibration curve relating CT number and water equivalent path length (WEL) to correct the inhomogeneities of tissues. The variation in CT number along the beam path would cause the uncertainties of range calculation at treatment planning for particle radiotherapy. To estimate the uncertainties of the range calculation associated with patient breathing, we proposed the method using sequential CT images with respiration waveform, and analyzed organ motions and WELs at patients that had lung or liver cancer. The variation of the depth along the beam path was presented in WEL rather than geometrical length. In analyzed cases, WELs around the diaphragm were remarkably changed depending on the respiration, and the magnitude of these WEL variations was almost comparable to inferior-superior movement of diaphragm. The variation of WEL around the lung was influenced by heartbeat.

• 한국화재소방학회논문지
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• 제33권4호
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• pp.83-88
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• 2019

본 연구에서는 가솔린 풀화재 시 호흡량과 호흡주기 변화에 따라서 인체에 흡입되는 연소가스 농도에 관한 기초 연구를 수행하였다. 이를 위해서 ISO 9705 룸코너 시험기의 1/4 크기인 구획공간을 제작하였으며, 호흡유량 (2, 6, 10) LPM 에 대해서 연소가스를 지속적으로 흡입하는 경우(Infinity)와 호흡주기가 2 s와 5 s인 각각의 경우 일산화탄소와 산소 농도를 측정하였다. 그 결과 구획 공간에서 가솔린 풀화재의 이론 발열량이 5.34 kW인 연소조건에서 산소와 이산화탄소의 경우 모두 호흡주기에 비해서 호흡량이 증가함에 따른 농도 편차가 더욱 높은 것을 확인하였다. 또한, 호흡 주기가 증가함에 따라서 산소 농도의 경우 최소값의 변화가 평균값에 비해서 더욱 크게 나타난 반면 일산화탄소 농도의 경우 평균값의 변화가 최대값에 비해서 더욱 크게 나타났다. 이러한 결과는 화재 시 피난자의 호흡 특성에 따라서 실제 흡입되는 유해가스의 농도를 고려하여야 보다 정확한 피난 특성을 예측할 수 있는 것으로 사료된다.

• Investigative Magnetic Resonance Imaging
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• 제23권1호
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• pp.38-45
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• 2019

Purpose: To demonstrate the high-resolution numerical simulation of the respiration-induced dynamic $B_0$ shift in the head using generalized susceptibility voxel convolution (gSVC). Materials and Methods: Previous dynamic $B_0$ simulation research has been limited to low-resolution numerical models due to the large computational demands of conventional Fourier-based $B_0$ calculation methods. Here, we show that a recently-proposed gSVC method can simulate dynamic $B_0$ maps from a realistic breathing human body model with high spatiotemporal resolution in a time-efficient manner. For a human body model, we used the Extended Cardiac And Torso (XCAT) phantom originally developed for computed tomography. The spatial resolution (voxel size) was kept isotropic and varied from 1 to 10 mm. We calculated $B_0$ maps in the brain of the model at 10 equally spaced points in a respiration cycle and analyzed the spatial gradients of each of them. The results were compared with experimental measurements in the literature. Results: The simulation predicted a maximum temporal variation of the $B_0$ shift in the brain of about 7 Hz at 7T. The magnitudes of the respiration-induced $B_0$ gradient in the x (right/left), y (anterior/posterior), and z (head/feet) directions determined by volumetric linear fitting, were < 0.01 Hz/cm, 0.18 Hz/cm, and 0.26 Hz/cm, respectively. These compared favorably with previous reports. We found that simulation voxel sizes greater than 5 mm can produce unreliable results. Conclusion: We have presented an efficient simulation framework for respiration-induced $B_0$ variation in the head. The method can be used to predict $B_0$ shifts with high spatiotemporal resolution under different breathing conditions and aid in the design of dynamic $B_0$ compensation strategies.

• The Korean Journal of Ecology
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• 제9권1호
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• pp.59-71
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• 1986

Net production, dead material increments were measured, and annual respiration loss was simulated through a year to determine the gross production at the Phragmites longivalvis, Carex scabrifolia and Zoysia sinica stand on Okryudeung, a sand bar of the Nagdong river estuary. The maximum live biomass for above-ground organs of the three stands occured in October, i.e., 1, 985, 744 and 1, 013g/m2, and belowground net productions were estimated to be 650, 440 and 412g/m2, respectively. Materials died or shedding from live aboveground organs during the growth season were estimated to be 167, 81 and 0 g/$m^2$. From the results of simulation, annual variation of respiratiion was primarily dependent on the annual variation of temperature through a year. For annual respiration loss in three stands, 21.893, 6.147 and 5.036kg $CO_2/m^2$ were calculated, respectively. Corresponding gross productions were 72, 203, 22, 109 and 19, 909kcal/$m^2$. Respiration of belowground organs corresponded to 65%, 66% and 37% of the total plant respiration, and annual respiration loss accounted for 85%, 78% and 71% of the annual gross production. In view of efficiency of solar energy utilization, 5.8%, 1.8% and 1.6% of incident light energy were converted to gross production of plants during a year. With incident light energy during the growth season from April to September, energy utilizations for net production were estimated to be 1.2%, 0.4% and 0.6% at the three stands.

• 한국산학기술학회논문지
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• 제22권5호
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• pp.296-302
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• 2021

본 논문에서는 영상정보에 기반한 호흡상태 분류 방법을 제안한다. 호흡신호는 초광대역 레이더 센서를 이용하여 획득하고 호흡신호의 값으로 이루어진 1차원 그래프 대신 그래프의 영상 정보가 담긴 2차원 정보 기반으로 호흡상태를 분류한다. 호흡상태의 분류는 심층신경망 모델을 사용하고, 심층신경망 모델은 호흡신호 그래프가 포함된 2차원 영상의 특징들을 학습하여 영상기반의 호흡상태 분류의 결과를 제공한다. 기존의 레이더 센서 기반 호흡신호의 상태 분류는 1차원 벡터의 구성요소 값 및 그 값들의 변화량을 이용하여 회귀, 심층학습 방법을 적용하였다. 그러나 1차원 그래프 기반의 호흡상태 분류는 다양한 형태의 정상호흡 상태에 대한 분류 성능에서 한계를 보였다. 본 논문에서는 호흡 신호로부터 얻은 그래프의 이미지 자체를 2차원 입력 신호로 사용하여 심층 신경망 모델을 적용하여 분류를 수행하였다. 본 논문에서 제안하는 영상정보 기반의 호흡상태 분류는 기존의 1차원 벡터 기반 호흡상태 분류 대비 호흡상태 분류의 정확도를 약 10% 향상 시켰다. 또한 기존의 두 가지 호흡상태 (정상 및 비정상) 분류에서 확장하여 세 가지 호흡상태 (정상1, 정상2, 비정상) 분류를 수행하였다.