• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.5
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• pp.296-302
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• 2021

This paper proposes an approach to the classification of respiratory states of humans based on visual information. An ultra-wide-band radar sensor acquired respiration signals, and the respiratory states were classified based on two-dimensional (2D) images instead of one-dimensional (1D) vectors. The 1D vector-based classification of respiratory states has limitations in cases of various types of normal respiration. The deep neural network model was employed for the classification, and the model learned the 2D images of respiration signals. Conventional classification methods use the value of the quantified respiration values or a variation of them based on regression or deep learning techniques. This paper used 2D images of the respiration signals, and the accuracy of the classification showed a 10% improvement compared to the method based on a 1D vector representation of the respiration signals. In the classification experiment, the respiration states were categorized into three classes, normal-1, normal-2, and abnormal respiration.

• Journal of Satellite, Information and Communications
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• v.12 no.1
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• pp.28-33
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• 2017

In this paper, new signal model for bio-signal detection, i.e heart beat and respiration, using CW radar. Most research on this similar topic are based on the conventional signal model which is not correct in envisaging reflected signal from the human body. The system developed based on this conventional model can not predict exact performance of the system. So in this paper modified signal model for bio-radar is proposed and then simulation for detecting heartbeat and respiration signal in AWGN, multipath environment. The detection performance difference between two signal models are discussed.the modified

• Proceedings of the Korean Information Science Society Conference
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• 2003.04c
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• pp.172-174
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• 2003

화상평면내 미지호흡운동에 기인한 MRI 아티팩트를 제거하기 위한 후처리방법을 제안한다. 본 연구에서 호흡운동은 2차원의 선형확대축소운동으로 모델화 된다. 신체조직을 비압축성 유체모양의 물질로 가정할때, 화상위에서의 단위체적당 푸로톤 밀도는 일정하다고 가정한다. 사용한 모델에 따르면 호흡운동은 위상 오차와 비균일표본화 및 왜곡된 진폭변조를 MR 데이터에 부여한다. 운동 파라메타가 이미 알려져 있거나 추정 가능하다고 할 때, MRI 아티팩트를 제거하기 위하여 중첩법에 기초를 둔 재구성 알고리즘을 이용한다. 운동 파라매타가 미지인 경우 스팩트럼 이동법을 적용해서 호흡변동함수와 x 방향 확대계수 및 x 방향 확대중심을 추정한다. 다음으로 에너지 최소법을 이용해서 ｙ 방향 확대계수 및 ｙ 방향 확대중심을 추정한다. 시뮬레이션을 통해서 제안한 방법의 유효성을 확인한다.

• Journal of the Korean GEO-environmental Society
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• v.22 no.3
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• pp.15-29
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• 2021

The purpose of this study is to establish an ecosystem model that can predict ecosystem fluctuations in the Nakdong estuary, and use this model to calculate total primary production and respiration. AQUATOX model was used as the ecosystem model, and the model was calibrated and verified using the measured data. For the calibration of the model, chlorophyll-a data measured at the Nakdong estuary were used, and the model verification was performed using DO, TN, and TP data. In general, the total primary production and respiration volume vary greatly depending on the season, but the total primary production and respiration in the Nakdong estuary were greatly influenced by the amount of water discharged from Nakdong estuary bank. When the amount of effluent increased, photosynthesis could not be performed due to the loss of phytoplankton living in the lower area, and the total primary production amounted to zero, whereas the respiration increased sharply due to the inflow of organic substances contained in the effluent. The increase in the inflow water means the inflow of organic substances contained in the inflow water, and the organic substances are decomposed by oxidation, reducing dissolved oxygen. Compared with other countries' estuaries, the Nakdong estuary shows the lowest total primary production and because the respiration is larger than the total primary production, the dissolved oxygen is depleted by the oxidation of organic matter.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.26 no.4B
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• pp.433-437
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• 2006

Recently, mathematical modeling for the activated sludge process is important to design and control of wastewater treatment plant. Nevertheless, there is a lack of information regarding the pathway of substrate utilization between external and internal substrates in biological nutrient removal (BNR). In this research, a new activated sludge model (step growth model) is proposed and compare with ASM No.3. This model structure is consist of five processes; aerobic storage, growth on external substrate and stored intercellular storage compounds (ISCs), endogenous respiration and aerobic respiration of ISCs. The predicted results by the step growth model were more good accordance with the results of oxygen utilization rate (OUR) and TCOD experiment than that of the ASM No.3.

• Journal of Biosystems Engineering
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• v.16 no.3
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• pp.298-311
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• 1991

빈 시스템에서 적정 팬을 선정하기 위해서, 빈에서 벼를 건조 혹은 통풍시킬 때 벼의 저항에 의해 발생되는 공기의 압력손실을 예측하는 모델을 개발하였다. 또한 벼의 건물 손실을 예측하기 위하여 벼의 호흡 모델을 개발하였다. 그리고 온도 및 습도 센서들을 이용한 자동계측 시스템을 사용하여 저장된 벼의 상태를 연속적으로 측정, 분석함으로써 벼의 통풍기준을 결정하고 이를 근거로 빈의 자동통풍 시스템을 개발하여 평가하였다. 공기의 정압 손실은 공기의 속도 및 벼의 함수율의 함수로서 나타내어졌으며, 일정 곡물 깊이에서 벼의 함수율이 낮을수록 그 정압손실은 증가하였다. 벼의 호흡에 의해 발생되는 이산화탄소의 양은 저장온도, 벼의 함수율, 저장 기간의 함수로서 나타낼 수 있었다. 벼의 안전 저장을 위해 곡물의 온도 및 함수율, 평형상대습도, 벼의 품질저하지수(deterioration index)에 대한 자동통풍 기준을 결정하였으며 이들을 이용해서 퍼스널 컴퓨터로 팬, 제습기 등의 통풍 장치들을 자동제어하는 자동통풍 시스템을 개발하였다. 이 시스템은 곡물의 상태를 예측, 제어함으로써 14% 이하의 함수율과 4이하의 품질저하지수, 그리고 어떤 균류도 생성시키지 않음으로써 벼를 안전하게 저장할 수 있었다.

• Journal of Veterinary Clinics
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• v.27 no.3
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• pp.257-261
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• 2010

The development of blood ionic changes could be precipitated in acid-base disorder and subsequent treatment. As technology for detecting circulating ionized $Mg^{2+}$ (the most interesting form with respect to physiological and biological properties) is now available in veterinary clinical medicine. This present study investigated the changes of whole blood ionized $Mg^{2+}$ correlated with acute metabolic and respiratory alkalosis in rodent model. Metabolic alkalosis was induced by intravenous infusion with $NaHCO_3$ and mechanical hyperventilation was applied for respiratory alkalosis. We founded that the blood ionized $Mg^{2+}$ could be reversibly decreased by the $NaHCO_3$-induced acute metabolic alkalosis but irreversibly increased by the mechanical hyperventilation-induced respiratory acidosis and respiratory acidosis. We suggested that the potential change in blood suggested that the potential change in blood ionized $Mg^{2+}$ should be counted in treatment of acid-base disorders.

• Science of Emotion and Sensibility
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• v.2 no.2
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• pp.43-52
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• 1999

정서는 생리적 반응을 수반하는 주관적인 경험이다. 뇌파와 자율신경계 반응의 차이에 의한 기본정서 구분 연구는 보고된 바가 없다. 본 연구에서는 1) 여섯 기본정서를 뚜렷하게 유발하는 정서자극을 선정하고, 이를 사용하여 2) 기본정서를 구분할 수 있는 심리생리적 복합 지표 모델을 개발하고자 하였다. 국제정서사진체계에서 여섯 기본정서 (행복, 슬픔, 분노, 혐오, 공포, 놀람) 각각을 신뢰롭게 유발하는 여섯 쌍의 슬라이드를 선택하였다. 슬라이드 제시에 의하여 유발되는 뇌파, 심전도, 호흡, 피부전기반응을 기록하여 분석/비교하였다. 주요결과를 요약하면 다음과 같다. 첫째, 뇌파의 상태적 출현량, 심박률, 호흡률, 피부전도반응은 안정상태와 정서상태간의 비교에서 유의미한 차이가 나타났다. 둘째, 뇌파분석결과에서는 theta (F4, 01), slow alpha (F3, F4), fast alpha (O2), fast beta (F4, O2)파의 상대적 출현량 변화값이 일부 정서들간에 유의미한 차이가 있었다. 셋째, 자율신경계 분석결과에서는 심박률, 호흡률, 피부전도반응이 일부 정서들간에 유의미한 차이를 보여주었다. 이들 결과를 토대로 기본정서를 특정적으로 구분할 수 있는 심리생리적 복합 지표 모델을 구성하였다. 네 기본정서 (공포, 혐오, 슬픔, 분노)는 뇌파와 자율신경계 반응패턴에 의한 구분이 가능하였으나, 행복과 놀람은 본 연구에서 사용한 심리생리지표에 의한 최종 구분이 불가능하였다. 여섯 기본정서를 모두 구분할 수 있는 적절한 지표를 찾아내는 후속연구가 필요하다.

• Tuberculosis and Respiratory Diseases
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• v.48 no.3
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• pp.347-356
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• 2000

Background : Patients with obstructive sleep apnea syndrome are known to have high long-term mortality compared to healthy subjects because of their cardiovascular dysfunction. The observation of hemodynamic changes by obstructive apneas is helpful when attempting to understand the pathophysiological mechanism of the development of cardiovascular dysfunction in those patients. Therefore, we studied the changes in cardiovascular function with an animal model and tried to obtain the basic data for an ideal experimental model (this phrase is unclear), a requirement for a more advanced study. Methods : Sixteen anesthetized dogs with ${\alpha}$-chloralose delete were divided into two groups : 8 dogs of room air breathing group and 8 dogs of oxygen breathing group. We measured $PaO_2$, $PaCO_2$, heart rate, cardiac output, mean femoral artery pressure, and mean pulmonary artery pressure at specified times during the apnea-breathing cycle before endotracheal tube occlusion (baseline), 25 seconds after endotracheal tube occlusion (apneic period), 10 seconds (early phase of postapneic period, EPA) and 25 seconds (late phase of postapneic period, LPA) after spontaneous breathing. Results : In room air breathing group, the heart rate significantly decreased during the apneic period compared to that at baseline (P<0.01) and increased at EPA and LPA compared to that during the apneic period (P<0.01). But, the heart rate showed no significant changes during apneic and postapneic periods in the oxygen breathing group. Cardiac output tended to decrease during apneic period compared to that at baseline, but was statistically significant. Cardiac output significantly decreased at LP A compared to at baseline (P<0.01). Mean femoral artery pressure was significantly decreased at during apneic period compared to that at baseline (P<0.05). Conclusion : Through this experiment, we were partially able to understand the changes of cardiovascular function indirectly, but delete new experimental animal model displaying physiological mechanism close to natural sleep should be established, and the advanced study in the changes of cardiovascular function and their causes should be continued.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.19 no.11
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• pp.1204-1212
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• 2008

The paper proposes a new signal model which is revised from the commonly used signal model. Recently, many research institutions had a research about CW bio-radar for detecting he heartbeat and respiration. However, when the bio-radar detects the heartbeat using the previous signal model, the bio-radar has a disadvantage of weakness about he residual phase and AWGN. Also, the model is inappropriate in ergonomics because this signal model supposes hat the heart and lung are located at a same place. In this paper, the modified signal model, which is appropriate n ergonomics, is proposed. This paper analyzes and compares with the performance for detecting the heartbeat and respiration using the previous model and revised model in AWGN and multi-path environment.