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An Accurate Weight Binarization Scheme for CNN Object Detectors with Two Scaling Factors
Xuan Truong Nguyen,Tuan Nghia Nguyen,Hyuk-Jae Lee,Hyun Kim 대한전자공학회 2020 IEIE Transactions on Smart Processing & Computing Vol.9 No.6
Recently, convolutional neural network (CNN)-based object detectors such as You Only Look Once (YOLO) have been intensively studied for applications in robotics, drones, and autonomous driving. Although YOLO can run in real time by using a graphics processing unit, the YOLO hardware implementation has received a great deal of interest due to its power efficiency and the potential for massive chip production. However, extensive memory access and high computation complexity are widely known as bottlenecks in YOLO hardware implementation. A common and intuitive approach is to apply quantization, especially binarization, to object detectors. However, the existing binarization methods suffer from substantial degradation in detection performance. To address the problem, this study proposes an accurate weight binarization scheme using two scaling factors. Specifically, a new binary weight optimization problem is formulated, and an analytical solution is derived. Experimental results with well-known PASCAL Visual Object Classes show that the proposed method reduces the detection accuracy degradation by up to 32.18% while meeting the memory and computation requirements of state-of-the-art methods.
Xuan Linh Nguyen,Hoang Nghia Vu,Sangseok Yu(유상석) 대한기계학회 2021 대한기계학회 춘추학술대회 Vol.2021 No.11
The hollow fiber membrane has been using for shell and tube membrane humidifiers, which has a significant role in the proton exchange membrane fuel cell system. The humidity of the air entering the cathode has an intensive effect on the efficiency and durability of a fuel cell. Therefore, it is necessary to control the proper humidity of the cathode inlet air. The wet air flows with the opposite direction to the dry air separated by hollow fiber membranes so that the vapor transport is proceeded by concentration gradient. The water transport rate is determined to evaluate the performance of the hollow fiber membrane humidifier. The rate varies with operating conditions including temperature and pressure and varies with shell side flow regimes including diffusion and convection. Experiments for 21-fibers membrane module were conducted in two types of test jig humidifier with design of isothermal condition. Parameters of experiments are two shell diameters under various conditions, in which the temperature is from 40 to 80 ℃, the air pressure is from 0 to 1 bar<SUB>g</SUB>. The experimental results show that temperature has an exponential effect on vapor transport rate, but the rate is inversely proportional to air pressure. The convection regime of shell side flow contributes to the improvement of mass transfer.
Real Time Control of an Induction Motor Using IMC Approach
Nghia, Duong Hoai,Nho, Nguyen Van,Bac, Nguyen Xuan,Lee, Hong-Hee The Korean Institute of Power Electronics 2009 JOURNAL OF POWER ELECTRONICS Vol.9 No.3
The paper presents a method for controlling induction motors using a nonlinear internal model control (IMC) approach. The process model and the inverse model are developed in the rotor flux coordinate. The main advantage of the proposed method is that it easily specifies the performance (steady state error, transient response, etc.) and the robustness of the controller by means of the IMC filters. Simulation results illustrate the effectiveness of the proposed method. Results on a real time system show that the control system has good performance and robustness against changes in motor parameters (rotor and stator resistances, rotor and stator inductances, rotor inertia).
Real Time Control of an Induction Motor Using IMC Approach
Duong Hoai Nghia,Nguyen Van Nho,Nguyen Xuan Bac,Hong-Hee Lee 전력전자학회 2009 JOURNAL OF POWER ELECTRONICS Vol.9 No.3
The paper presents a method for controlling induction motors using a nonlinear internal model control (IMC) approach. The process model and the inverse model are developed in the rotor flux coordinate. The main advantage of the proposed method is that it easily specifies the performance (steady state error, transient response, etc.) and the robustness of the controller by means of the IMC filters. Simulation results illustrate the effectiveness of the proposed method. Results on a real time system show that the control system has good performance and robustness against changes in motor parameters (rotor and stator resistances, rotor and stator inductances, rotor inertia).