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향상된 CSI 거리감쇠 모델을 활용한 무인이동체 실내 거리추정 기법
황준규(Jun Gyu Hwang),왕징징(Jing Jing Wang),이광억(Kwang Eog Lee),박준구(Joon Goo Park) 제어로봇시스템학회 2018 제어·로봇·시스템학회 논문지 Vol.24 No.8
As expected performances of UAV(Unmanned Aerial Vehicle) become more complex and complicated, required positioning accuracy is becoming more and more higher. Ranging is the core technology in positioning procedures. We focus on indoor ranging problem because indoor environments present many problems for UAV navigation. In this paper, we propose an enhanced indoor ranging method that uses a CSI attenuation model to provide more accurate ranging results.
IEEE 802.11 RSSI 기반 무인비행로봇 실내측위를 위한 AP 선택 기법
황준규(Jun Gyu Hwang),박준구(Joon Goo Park) 제어로봇시스템학회 2014 제어·로봇·시스템학회 논문지 Vol.20 No.12
As required performance of UAV (Unmanned Aerial Vehicle) becomes more complex and complicated, required positioning accuracy is becoming more and more higher. GPS is a reliable world wide positioning providing system. Therefore, UAV generally acquires position information from GPS. But when GPS is not available such as too weak signal or too less GPS satellites environments, UAV needs alternative positioning system such as network positioning system. RSSI (Received Signal Strength Indicator) based positioning, which is one method of network positioning technologies, determines its position using RSSI measurements containing distance information from AP (Access Point)s. In that method, a selected AP"s configuration has strong and tight relationship with its positioning errors. In this paper, for, we additionally account AP"s configuration information by adopting DOP (Dilution of Precision) into AP selection procedures and provide more accurate RSSI based positioning results.
강화학습을 활용한 측위 성능 향상을 위한 IEEE 802.11 AP 배치 기법
황준규(Hwang Jun Gyu),박준구(Park Joon Goo) 한국통신학회 2022 한국통신학회 학술대회논문집 Vol.2022 No.2
위치기반서비스(LBS : Location Based Service)가 다양하게 제공되고 있지만 복잡한 환경에서 보다 높은 측위 성능이 요구되고 있다. 따라서 다양한 측위 기법 연구가 이루어지고 있다. 이에 본 논문은 강화학습 중 Proximal Policy Optimization(PPO)을 활용한 IEEE 802.11 AP(Access Point)를 사용하는 환경에서 측위 성능 향상을 위한 배치 기법을 제안한다. 주어진 환경에서 AP 의 배치에 따라 도출되는 DoP(Dilution of Precision)와 RSSI(Received Signal Strength Indicator)를 학습 모델에 입력하여 측위 성능을 향상시키는 AP 배치도를 출력한다. 이를 통해 임의의 환경에서 학습모델을 통해 높은 측위 성능을 가진 AP 배치를 찾을 수 있다.
강태경(Tae Kyung Kang),박기수(Ki Soo Park),박준구(Jun Goo Park),원준희(Jun Hee Won),김창호(Chang Ho Kim),박재용(Jae Yong Park),정태훈(Tae Hoon Jung) 대한내과학회 1997 대한내과학회지 Vol.53 No.5
Objectives: The MVV reflects subjective dyspnea, exercise capacity, postoperative complication. But, the MVV embodies certain disadvantages and is dependent on coordination, endurance and motivation. A timed vital capacity for calculation of an indirect maximal voluntary ventilation is used. We evaluated differences in prediction formulas for the MUV according to the status of ventilatory function. Methods: Forty-seven normal subjects, 68 patients with obstructive ventilatory impairment, and 23 patients with restrictive ventilatory impairment were studied. The relationships between the MVV and Flow or time parameters in forced expiratory volume and flow volume curves were compared among normal subjects and patients with obstructive or restrictive ventilatory impairment. Results: 1) High correlation coefficients(R≥0.87) were found between the FEV0.5, 0.75, 1 and the MVV in 47 normal subjects and 91 patients with ventilatory impairment. 2) The MVV can be conveniently estimated from the FEV1 values. The following regression formulas for the prediction of the MVV were obtained. Normal: MVV=44.01×FEV1-21.09(r²=0.771, SEE=11.085) Obstructive ventilatory impairment: MVV=38.34×FEV1-4.58(r²=0.812, SEE=4.816) Restrictive ventilatory impairment: MVV=45.20×FEV1-3.80(r²=0.899, SEE=6.929). 3) There were significant differences in prediction formulas for the MVV obtained by FEV1 between each group (P<0.05). Conclusion: These results suggest that different prediction formulas for the MVV, by multiplying the FEV1 by a constant, are respectively required in normal subjects and patients with obstructive or restrictive ventilatory impairment.
답차 및 자전거 ergometer를 이용한 운동부하검사의 차이
차승익,박준구,김창호,박재용,정태훈 慶北大學校 醫科大學 1996 慶北醫大誌 Vol.37 No.1
목적 : 운동부하검사시 심·폐기능의 반응을 조사하기 위해 답차와 자전거 ergometer가 주로 사용되며 이들은 각각 장단점이 있기 때문에 적용 및 해석상 이를 고려해야 한다. 저자들은 이들 두 방법에 따른 심·페반응의 차이를 알아보고자 하였다. 대상 및 방법 : 건강한 남자 의과대학생 30명을 대상으로 하여 답차를 이용한 운동부하검사는 Bruce법에 따라서 그리고 자전거 ergometer를 이용한 운동부하검사는 ramp법에 따라 시행하였다. 30명중 16명은 자전거 ergometer를 이용한 운동부하검사를 먼저 한뒤 1주뒤에 답차를 이용한 운동부하검사를 실시하였고 30명중 14명은 역순으로 실시하여 운동부하검사의 순서에 따른 차이와 그리고 이들 두가지 운동부하검사간에 최대운동시의 여러 지표 성적을 비교하였다. 결과 : 1. VO_2max, VCO_2max, O_2 pulse, AT는 답차를 이용한 운동부하검사시 2.80±0.344 L/min, 3.31±0.415 L/min, 14.9±2.04 ㎖m/beat와 1.52±0.195 L/min로 자전거를 이용한 경우의 2.36±0.306 L/min, 2.80±0.400 L/min, 13.1±1.68 ㎖/beat와 1.29±0.174 L/min에 비해 유의하게 높았으며 그 차이는 각각 약 15%였다. 2. 답차 및 자전거 ergometer을 이용하여 구한 RRmax는 각각 39.2±7.01회/min, 39.0±7.96회/min, V_Emax는 91.7±20.13L/min, 83.2±15.96L/min, V_Emax/VO2max는 34.1±5.48, 35.4±5.65, V_Emax/VCO_2max는 각각 29.0±3.99, 29.7±3.78로 양 군 사이에 유의한 차이가 없었다. 3. P_ETO2max와 P_ETCO2max도 답차에서는 111.6±6.16mmHg와 44.1±6.01mmHg로 자전거 ergometer를 이용한 경우의 118.±5.40mmHg 및 43.8±4.86mmHg와 유의한 차이가 없었다. 4. 답차 및 자전거 ergometer를 이용한 운동부하의 검사순서에 따른 성적의 차이는 없었다. 결론 : 이상의 결과로 답차를 적용한 운동부하검사시 VO_2max, VCO_2max, O_2 pulse와 AT는 자전거 ergometer를 이용한 경우에 비해 약 15% 많았으나 V_Emax 등의 환기기능은 두가지 방법사이에 차이가 없었다. Background : Treadmil and bicycle ergometer are the most commonly employed mode to assess car diovascular-respiratory response to exercise test, and there are many differences between both modes of exercise. It is necessary to consider them in interpreting the results of exercise tests and applying to clinical status. Methods : Thirty healthy male subjects who were volunteer students in medical school were participat ed in the study. In 16 subjects, bicycle ergometer was employed initially and treadmill later. In 14 subjects, treadmill was employed initially and bicycle ergometer later. Rest interval between 2 tests was about 1 week. Results : 1. Oxygen uptake(VO_2max), CO_2 production(VCO_2max), and oxygen pulse(O_2 pulse) at maximal exercise, and anaerobic threshold(AT) were all siginificantly higher on the treadmill than bicycle ergometer and the value of difference was about 15%, respectively. 2.. No significant differences between treadmill and bicycle ergometer were found for respiratory rate (RRmax), minute ventilation(V_Emax), ventilatory equivalent for CO_2 & O_2(V_Emax/VCO_2max, V_Emax/VO_2max) at maximal exercise. 3. There were no significant differences according to sequence of exercise test. Conclusion : VO_2max, VCO_2max, O_2 pulse, AT were all siginificantly higher on the treadmill, but significant differences between treadmill and bicycle ergometer for ventilatory parameters such as V_Emax were not found.