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Tran Trung Tin,Dang Van Chien,Ki-Jong Gil,Yong-Bin Shin,Young-Lim Choi,Yean-Hwa Lee,Jong-Wook Kim 한국정보기술학회 2017 한국정보기술학회논문지 Vol.15 No.3
The goal of this paper is to implement a haptic interface device for virtual reality application for the patients with MCI(Mild Cognitive Impairment) to recover their lost memory. The physical therapy for treatment of MCI is being developed as a complementary method for the treatment of memory impairment in the elderly. To produce a VR treatment program for memory recovery, the interactive program running on a virtual environment needs to be designed to be reminiscent of the memories in the past with a smart block haptic device that uses the force feedback mechanism from the user’s hands. To this end, we propose the smart block scheme implemented with an embedded system based on the virtual reality application to support treating and recovering memory for the elderly patients.
Measurement of Current Magnitude for Home Appliances using Smart E-Meter
Tran Trung-Tin(트란 트렁 틴),Pham Xuan-Trung(팜 수안 트렁),Ngo Minh-Tri(능오 밍 트리),Jong-Wook Kim(김종욱) 한국정보기술학회 2015 Proceedings of KIIT Conference Vol.2015 No.6
본 논문은 Smart E-Meter를 이용해서 방안에 있는 가전제품의 전류 값을 관찰하고 측정하는 것이 가능한 데이터측정(DAQ) 시스템을 제안한다. 제안된 DAQ 시스템은 Smart E-Meter 장치를 사용하고 소프트웨어는 LabVIEW의 VISA 함수를 사용해서 설계되었다. 그리고 제안된 시스템으로 각 전자제품의 전류 변화를 데이터 파일로 만들 수 있으며, 최신 전류 데이터에 창을 씌워 전류의 이동평균과 이동표준편차를 계산함으로써 현재 연결되어 있는 가전제품이 가동 시작, 정상 운용, 모드 변화 중 어느 단계인지를 판단하게 할 수 있다. 제안된 시스템은 Smart E-Meter 시제품을 이용해서 실현 가능성을 검증받는다. This paper proposes a data acquisition (DAQ) system to observe and monitor the magnitude value of current signal for in-home appliances in a room based on Smart E-Meter. The DAQ system included DAQ device with Smart E-Meter and DAQ software designed by LabVIEW with the VISA function. In addition, this analysis tool produces the current profile of each electric appliances. Based on the profile, the moving average and moving standard deviation values are utilized to evaluate the current magnitude by sliding a window for most recent data. Specifically, consideration of the difference in current magnitude allows to determine the status of the connected appliances which are starting-up, working or adjusting operation mode. The proposed approach is validated through operating experiment with the prototype of Smart E-Meter.
Implementation of Phase Difference Detection Using Signals from Ultrasonic Generator
Trung-Tin Tran(트란 트렁 틴),Joon-Ik Son(손준익),Van-Chien Dang(당 반 치엔),Jong-Wook Kim(김종욱) 대한전기학회 2014 대한전기학회 학술대회 논문집 Vol.2014 No.7
This paper proposes a prototype of a design circuit for detecting the phase difference between the output voltage and current in the process of cleaning system. Based on the principles of operational amplifier, the circuit is used to survey and measure the output waveform of load current and voltage, which is observed by oscilloscope. The discovery of the difference in phase of two signals from the generator allows to construct the automatic regulation oscillator model to obtain in order to supply the appropriate ultrasonic energy to the cleaning system. Furthermore, the phase-shift throughout the process of the cleaning system and the howling phenomenon are used to evaluate the effects on the load current to the sandwich-type transducer.
Development of a Transducer Power Control System for Ultrasonic Cleaning System
Tran Trung Tin(트란 트렁 틴),Dang Van Chien(당 반 치엔),Joon-Ik Sohn(손준익),Hyo-Cheol Kang(강효철),Jong-Wook Kim(김종욱) 한국정보기술학회 2015 한국정보기술학회논문지 Vol.13 No.3
The goal of this paper is to implement a systematic controller for transducer power used in an ultrasonic cleaning system to save its consumption power in changing objects to be cleaned. To estimate and observe the current which is produced from the generator, root-mean-square (RMS) values of current signals in the transducer circuit are processed to produce moving average and moving standard deviation values by sliding a window for the most recent data. In this paper, we propose the controller scheme which is implemented with a digital signal processing (DSP) board based on the digital signal controller (DSC) chip to control the transducer power through digital proportional-integral (PI) controller and also applied to a commercial ultrasonic cleaning system for validation under change of cleaning load. The overshoot and undershoot of the current RMS have been decreased by 52.2% and 70.7%, respectively, with faster recovery to the initial current level by the proposed control system.
Tin Trung Tran,Trung Xuan Pham,김종욱 대한임베디드공학회 2017 대한임베디드공학회논문지 Vol.12 No.2
One of the important applications of activity sensing in the home is energy monitoring. Many previous methodologies for detecting and recognizing household appliances have been proposed. This paper presents an approach that uses an energy metering circuit (EMC) to classify and identify the various electrical devices in home based on root-mean-square (RMS) consumed current value. EMC gathers the RMS current values created by appliance state transition (e.g., on to off) and apparatus operating process. In this paper, an identification algorithm is proposed to detect a change in current levels using the standard deviation of current signals and their average values. In addition, characteristic of the appliance is extracted concerning four feature parameters concerning the number of current levels, the minimum level, the maximum level, and signal-to-noise ratio (SNR) of them. Experiment results validate the reliable performance of the proposed identification method for 11 representative appliances.
Tran, Tin Trung,Pham, Trung Xuan,Kim, Jong-Wook Institute of Embedded Engineering of Korea 2017 대한임베디드공학회논문지 Vol.12 No.2
One of the important applications of activity sensing in the home is energy monitoring. Many previous methodologies for detecting and recognizing household appliances have been proposed. This paper presents an approach that uses an energy metering circuit (EMC) to classify and identify the various electrical devices in home based on root-mean-square (RMS) consumed current value. EMC gathers the RMS current values created by appliance state transition (e.g., on to off) and apparatus operating process. In this paper, an identification algorithm is proposed to detect a change in current levels using the standard deviation of current signals and their average values. In addition, characteristic of the appliance is extracted concerning four feature parameters concerning the number of current levels, the minimum level, the maximum level, and signal-to-noise ratio (SNR) of them. Experiment results validate the reliable performance of the proposed identification method for 11 representative appliances.
Phu Tran Tin,Tran Trung Duy 한국통신학회 2019 ICT Express Vol.5 No.1
In this letter, we propose two power allocation strategies, named Optimal Power Allocation (OPA) and Equal Intercept Probability (EIP), for dual-hop cooperative decode-and-forward (DF) relaying networks under constraint of intercept probability (IP). Particularly, with knowledge of channel statistics of the eavesdropping links, the transmitters such as source and relays adjust their transmit power to control the value of IP by a desired level. A max–min relay selection method is applied to enhance the e2e outage probability (OP). We derive expressions of transmit power for the source and the selected relay. Then, Monte Carlo simulations were performed to verify analytical results.
Phu Tran Tin,Ph?m Minh Nam,Tran Trung Duy,Miroslav Voznak 대한전자공학회 2017 IEIE Transactions on Smart Processing & Computing Vol.6 No.3
In this paper, we investigate the tradeoff between security and reliability for a multi-hop protocol in cluster-based underlay cognitive radio networks. In the proposed protocol, a secondary source communicates with a secondary destination via the multi-hop relay method in the presence of a secondary eavesdropper. To enhance system performance under the joint impact of interference constraint required by multiple primary users and hardware impairments, the best relay node is selected at each hop to relay the source data to the destination. Moreover, the destination is equipped with multiple antennas and employs a selection combining (SC) technique to combine the received data. We derive closed-form expressions of the intercept probability (IP) for the eavesdropping links and the outage probability (OP) for the data links over a Rayleigh fading channel. Finally, the correction of our derivations is verified by Monte-Carlo simulations.
Mass Ionized Particle Optimization Algorithm Applied to Optimal FEA-Based Design of Electric Machine
Wonseok Han,Trung Tin Tran,Jong-Wook Kim,Yong-Jae Kim,Sang-Yong Jung IEEE 2016 IEEE transactions on magnetics Vol.52 No.3
<P>A finite-element analysis-based optimal design of an electric machine takes considerable time for its objective evaluation and has many local minima. Thus, selecting an appropriate global convergence optimization with fast convergence speed is necessary in the optimal design of an electric machine. In this paper, a novel global search optimization algorithm, mass ionized particle optimization (MIPO), is newly proposed. The MIPO is the population-based algorithm, which reflects the interactive force between the ionized particles. The global convergence and the convergence speed are validated by comparison with the particle swarm optimization, which have already been proved for its global convergence when applied to a well-known Goldstein-Price function as a benchmark function. In addition, the algorithm has been applied to the optimal design of an interior permanent magnet synchronous machine aiming for its torque ripple reduction.</P>