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Quantification of Angular Prediction Accuracy for Phased Array Radar Tracking
홍순목, Hong. Sun-Mog 대한전자공학회 電子工學會論文誌. Journal of the Institute of Electronics Engineers of Korea. SC, 시스템 및 제어 6 Pages
대한전자공학회 電子工學會論文誌. Journal of the Institute of Electronics Engineers of Korea. SC, 시스템 및 제어 2012, Vol.49 No.1 74-79 (6 pages)
위상배열레이더를 이용한 추적의 성능을 지수화하기 위해서 각도예측 오차공분산행렬의 함수를 이용한 정량화 방법에 대해 검토하였다. 특히, 이 오차공분산행렬의 함수로 최대고유값과 대각합을 이용하여 정량화하는 경우에 대해 안테나 빔조향 손실을 반영한 표적탐지확률을 기준으로 정량화의 일관성을 수치실험을 통해 검토하였다. 이를 통해 추적성능을 표적탐지확률로 기준하는 경우, 대각합이 최대고유값 보다 더 일관성을 갖는 정량화 함수임을 확인하였다. -
Prediction of Pharmacokinetics and Penetration of Moxifloxacin in Human with Intra-Abdominal Infection Based on Extrapolated PBPK Model
LiQinZhu, JianWeiYang, YuanZhang, YongMingWang, JianLeiZhang, YuanYuanZhao, WeiLinDong 대한생리학회-대한약리학회 The Korean Journal of Physiology & Pharmacology 6 Pages
대한생리학회-대한약리학회 The Korean Journal of Physiology & Pharmacology 2015, Vol.19 No.2 3 99-104 (6 pages)
The aim of this study is to develop a physiologically based pharmacokinetic (PBPK) model in intra- abdominal infected rats, and extrapolate it to human to predict moxifloxacin pharmacokinetics profiles in various tissues in intra-abdominal infected human. 12 male rats with intra- abdominal infections, induced by Escherichia coli, received a single dose of 40 mg/kg body weight of moxifloxacin. Blood plasma was collected at 5, 10, 20, 30, 60, 120, 240, 480, 1440 min after drug injection. A PBPK... -
Application of Numerical Weather Prediction Data to Estimate Infection Risk of Bacterial Grain Rot of Rice in Korea
Hyo-suk Kim, Ki Seok Do, Joo Hyeon Park, Wee Soo Kang, Yong Hwan Lee, Eun Woo Park 한국식물병리학회 The Plant Pathology Journal 13 Pages
한국식물병리학회 The Plant Pathology Journal 2020, 36권 1호 5 54-66 (13 pages)
disease warnings at all locations regardless of the sources of weather data. In conclusion, the numerical weather prediction data from KMA could be reliable to apply as input data for plant disease forecast models. Weather prediction data would facilitate applications of weather-driven disease models for better disease management. Crop growers would have better options for disease control including both protective and curative measures when weather prediction data are used for disease warning. -
Linear Prediction Analysis and Quantization for the Conjugate-Structure Algebraic-Code-Excited Linear-Prediction Speech Compression Algorithm
Marcus L. George 인문사회과학기술융합학회 예술인문사회융합멀티미디어논문지 12 Pages
인문사회과학기술융합학회 예술인문사회융합멀티미디어논문지 2012, 제 2권 제 1호 5 33-44 (12 pages)
QoS of a VoIP system. This paper presents the hardware implementation of the Linear Prediction (LP) Analysis and Quantization component of the Conjugate-Structure Algebraic-Code-Excited Linear-Prediction (CS-ACELP) speech compression algorithms. The LP Analysis and Quantization units were implemented in hardware using Xilinx 11.1 ISE, after which ITU-T test vectors were used to determine whether they were equivalent implementations of the LP Analysis and Quantization. The algorithmic delays of... -
Open-Loop Pitch Analysis for the Conjugate-Structure Algebraic-Code-Excited Linear-Prediction Speech Compression Algorithm
Geetam Singh Tomar, Marcus L. George 인문사회과학기술융합학회 예술인문사회융합멀티미디어논문지 10 Pages
인문사회과학기술융합학회 예술인문사회융합멀티미디어논문지 2011, 제 1권 제 1호 5 41-50 (10 pages)
of the Conjugate-Structure Algebraic-Code-Excited Linear-Prediction (CS-ACELP) speech compression algorithms. The Open-Loop Pitch Analysis units were implemented in hardware using Xilinx 11.1 ISE, after which ITU-T test vectors were used to determine whether they were equivalent implementations of the Open-Loop Pitch Analysis. The algorithmic delays of hardware-implementations were obtained via simulation using Modelsim XE 6.4b while the algorithmic delays of the software-implemented speech... -
The Trend of Body Mass Index (BMI) Changes among Malaysian Children and the Prediction at 48 Months Old
Aslina Saad, Suzani Samuri, Bahbibi Rahmatullah, Mazlina Che Mustafa 환태평양유아교육연구학회 Asia-Pacific journal of research in early childhood education 20 Pages
환태평양유아교육연구학회 Asia-Pacific journal of research in early childhood education 2021, Vol.15 No.2 9 187-206 (20 pages)
parents’ incomes, and gender while the BMI at the age of 20 months and below are the negative predictors. The prediction model developed in this study may help practitioners to monitor such children’s BMI, especially in detecting the signs of severe overweight, obesity, and underweight among such children. Such a BMI prediction model can be used to identify young children who are at risk of being overweight, obese, and underweight such that remedial interventions can be implemented promptly.


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