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Prof. Chun-Liang Lin
National Chung Hsing University, Taichung, Taiwan

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0 Biometrics
0 Control Analysis
0 intelligent control
0 electric automobile
0 guidance and control

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Journal article
Published: 17 July 2021 in Biomedical Signal Processing and Control
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Stroke results in uncoordinated limb movements of patients, greatly affecting their quality of life. Deep participation of patients with stroke in active rehabilitation training using motor imagery electroencephalogram (EEG) signals can greatly improve the rehabilitation efficiency. At present, the brain–computer interface (BCI) based on motor imagery is mostly in the laboratory research stage, and the participants are mostly healthy people. Understanding EEG differences between healthy people and stroke patients is important. A Novel EEG decoding algorithm is proposed based on this present situation, which adopt the strategy of multi-domain feature complementary fusion in feature extraction, and the ensemble learning to enhance the robustness of the model. Multi-scale features were extracted from time domain, frequency domain, space domain and time–frequency domain for fusion, to effectively utilize them to improve the classification accuracy. The ensemble linear discriminant analysis (LDA) classifier based on Boosting algorithm is proposed to make boosting in the multi-domain feature level, and extract and optimize the most discriminative features from the high-dimensional feature combination space, which maximizes the ratio of the discreteness between inter-class and intra-class. Then, the public dataset and the collected EEG dataset of healthy subjects and stroke patients are used to validated the effective of proposed algorithm, and neural activation characteristics of participants during motor imagery processing are analyzed. Compared with the single feature classification algorithm, the proposed method has better positive effects on classification accuracy, sensitivity, specificity, and Kappa, which opens up new possibilities for the usage of brain-controlled active rehabilitation devices.

ACS Style

Yue Zhang; Weihai Chen; Chun-Liang Lin; Zhongcai Pei; Jianer Chen; Zuobing Chen. Boosting-LDA algriothm with multi-domain feature fusion for motor imagery EEG decoding. Biomedical Signal Processing and Control 2021, 70, 102983 .

AMA Style

Yue Zhang, Weihai Chen, Chun-Liang Lin, Zhongcai Pei, Jianer Chen, Zuobing Chen. Boosting-LDA algriothm with multi-domain feature fusion for motor imagery EEG decoding. Biomedical Signal Processing and Control. 2021; 70 ():102983.

Chicago/Turabian Style

Yue Zhang; Weihai Chen; Chun-Liang Lin; Zhongcai Pei; Jianer Chen; Zuobing Chen. 2021. "Boosting-LDA algriothm with multi-domain feature fusion for motor imagery EEG decoding." Biomedical Signal Processing and Control 70, no. : 102983.

Journal article
Published: 07 January 2021 in Biomedical Signal Processing and Control
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Estimation of the visual pulse rate (also called heart rate) refers to extraction of the pulse rate from a facial video. With the studies on extracting photoplethysmography (PPG) signals from a facial video, the non-contacted measurement method has aroused great interest among researchers over the past few years. In this study, a novel one-stage spatio-temporal framework, namely PRnet, is proposed to estimate the pulse rate from a stationary facial video. First, visual pulse rate estimation is defined as a regression task based on deep neural networks, in which a video is mapped to a pulse rate value. Then, 3D convolutional neural networks (Conv3D) and Long short-term memory (LSTM) modules are used to extract spatial and latent temporal information that is hidden in a video. Subsequently, one fully connected layer is applied in the last layer of PRnet to estimate the pulse rate directly. Based on the exquisite framework design, our proposed method realizes competitive performance, especially in terms of processing latency, since it does not rely on power spectral density (PSD) and traditional Fast Fourier Transform (FFT) algorithms. Using our method, only 60 frames of video (2 s) are required for the robust prediction of the pulse rate, whereas 6–30 s of video are typically required for other methods. Finally, a novel visual pulse rate estimation database, which includes pulse rate range at various times of day, is collected to evaluate the proposed framework. The results of extensive experiments demonstrate that PRnet performs competitively while compared with state-of-the-art methods.

ACS Style

Bin Huang; Chun-Liang Lin; Weihai Chen; Chia-Feng Juang; Xingming Wu. A novel one-stage framework for visual pulse rate estimation using deep neural networks. Biomedical Signal Processing and Control 2021, 66, 102387 .

AMA Style

Bin Huang, Chun-Liang Lin, Weihai Chen, Chia-Feng Juang, Xingming Wu. A novel one-stage framework for visual pulse rate estimation using deep neural networks. Biomedical Signal Processing and Control. 2021; 66 ():102387.

Chicago/Turabian Style

Bin Huang; Chun-Liang Lin; Weihai Chen; Chia-Feng Juang; Xingming Wu. 2021. "A novel one-stage framework for visual pulse rate estimation using deep neural networks." Biomedical Signal Processing and Control 66, no. : 102387.

Journal article
Published: 30 December 2020 in IEEE Transactions on Power Electronics
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For the research of wireless power transfer, loosely coupled inductive power transfer (LCIPT) is one of the widely adopted technologies. There are already various researches focusing on development of high efficiency LCIPT. However, when the transmission and receiver coils are misaligned, the power transfer efficiency will be significantly dropped. This research task considers the change of mutual inductance when two induction coils are misaligned. A fuzzy control approach to solve for this problem by adaptively adjusting operational frequency is introduced. Experiments show that it can reduce the power transferring efficiency drop by 11% when two conduction coils are misaligned up to 50 mm. This research also supports adaptive maximum power transfer using tracking mechanism. Before conducting power transmission, the system can choose G2V or V2G according to the vehicle battery capacity via handshaking communication without the need of RF links. In addition, the phase shift pulse width modulation technique is proposed for simultaneous data transmission enabling binary quadrature amplitude modulation for digital signal transmission. Fast over current protection is incorporated for power transfer safety when current overload happens. The transmission frequency of this research is controlled to meet the frequency specified by SAE TIR J2954.

ACS Style

Jia-Jing Kao; Chun-Liang Lin; Yu-Chen Liu; Chih-Cheng Huang; Hau-Shian Jian. Adaptive Bidirectional Inductive Power and Data Transmission System. IEEE Transactions on Power Electronics 2020, 36, 7550 -7563.

AMA Style

Jia-Jing Kao, Chun-Liang Lin, Yu-Chen Liu, Chih-Cheng Huang, Hau-Shian Jian. Adaptive Bidirectional Inductive Power and Data Transmission System. IEEE Transactions on Power Electronics. 2020; 36 (7):7550-7563.

Chicago/Turabian Style

Jia-Jing Kao; Chun-Liang Lin; Yu-Chen Liu; Chih-Cheng Huang; Hau-Shian Jian. 2020. "Adaptive Bidirectional Inductive Power and Data Transmission System." IEEE Transactions on Power Electronics 36, no. 7: 7550-7563.

Research article
Published: 26 December 2020 in Journal of the Chinese Institute of Engineers
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Along with the rapid development of synthetic biology, the technology of biological computers has become increasingly mature in recent years. In this paper, we propose a structure for a biological central processing unit (Bio-CPU) based on biological binary computing features. The Bio-CPU is constructed from a class of biological circuits with specific functions and a genetic clock source to trigger a series of sequential steps. The biological logic gates change their outputs at two protein concentration levels (active and inactive statuses), and the genetic clock provides a periodic signal to synchronize actions of related biological sequential logic circuits. Design of the Bio-CPU partly imitates a silicon CPU with modifications to fit the features of biological units. The proposed structure consists of three major parts: a biological arithmetic logic unit (Bio-ALU), a biological control unit (Bio-CU), and a biological memory unit (Bio-MU). Biological details of the system synthesis are explained. Demonstrations have been conducted and presented to illustrate the function of each functional module.

ACS Style

Wei-Xian Li; Jiangfeng Cheng; Chun-Liang Lin; Chia-Feng Juang. Synthesis of programmable biological central processing system. Journal of the Chinese Institute of Engineers 2020, 44, 104 -118.

AMA Style

Wei-Xian Li, Jiangfeng Cheng, Chun-Liang Lin, Chia-Feng Juang. Synthesis of programmable biological central processing system. Journal of the Chinese Institute of Engineers. 2020; 44 (2):104-118.

Chicago/Turabian Style

Wei-Xian Li; Jiangfeng Cheng; Chun-Liang Lin; Chia-Feng Juang. 2020. "Synthesis of programmable biological central processing system." Journal of the Chinese Institute of Engineers 44, no. 2: 104-118.

Special issue
Published: 14 October 2020 in Asian Journal of Control
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This paper proposes a novel traction control system (TCS) based on feedback sensing of multi‐state of electric scooters (i.e. vehicle‐road inclination, vehicle yaw rate, vehicle lateral force, vehicle slip, vehicle speed, etc.). The real‐time states of the scooter are measured by a Hall sensor at the rear wheel, a photointerrupter at the front wheel and inertial measurement unit at the center‐of‐gravity of the vehicle. A fuzzy logic based traction control design is developed to against the driving wheel drift or slipping. The controller is realized by an advanced digital signal processor for fast command computation. Our design has been successfully applied in a commercial electric scooter with satisfactory performance for the pre‐specified testing items. Real‐world experiments prove feasibility of the proposed design which show that our design can effectively prevent the electric scooter from slipping while improves riding safety.

ACS Style

Tao‐Hung Chen; Chia‐Hung Tu; Chun‐Liang Lin; Shun‐Pin Hsu. Advanced stabilizing control for electric scooters. Asian Journal of Control 2020, 23, 1121 -1134.

AMA Style

Tao‐Hung Chen, Chia‐Hung Tu, Chun‐Liang Lin, Shun‐Pin Hsu. Advanced stabilizing control for electric scooters. Asian Journal of Control. 2020; 23 (3):1121-1134.

Chicago/Turabian Style

Tao‐Hung Chen; Chia‐Hung Tu; Chun‐Liang Lin; Shun‐Pin Hsu. 2020. "Advanced stabilizing control for electric scooters." Asian Journal of Control 23, no. 3: 1121-1134.

Special issue
Published: 27 September 2020 in Asian Journal of Control
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This paper develops a modular multilevel inverter which integrates driving/braking control schemes in a unit for electric vehicles. The multiple driving components are used to balance surge voltage/current across the last stage power MOSFETs due to abrupt back electromotive force (EMF) generated by the permanent magnet synchronous motor (PMSM). A fundamental unit of the motor driver generally consists of multiple power MOSFETs connected in series/parallel with a braking resistor. These units can be assembled according to the design. In practice, when a PMSM is driven due to inertia rotation, it becomes a power generator which would induce back EMF caused by magnetic induction when a braking command is applied to the driver. If one tries to increase braking effect by reversing driving torque with any approaches for immediately or fast stopping the rotating motor, it commonly leads to switching element breakdown due to the surge counter EMF. In this paper, with the expandable series–parallel design of the inverter circuit, surge voltage/current is dispersed in a balanced manner. Compared with conventional three‐phase motor driver design, the proposed one possesses better durability. Also, it reduces hardware cost since it allows low‐grade power components to be used in the high‐power motor drivers.

ACS Style

Chia‐Hung Tu; Yu‐Chen Chang; Chun‐Liang Lin; Van‐Tsai Liu. Motor driving/braking control scheme with integration of multiple driving components. Asian Journal of Control 2020, 23, 1110 -1120.

AMA Style

Chia‐Hung Tu, Yu‐Chen Chang, Chun‐Liang Lin, Van‐Tsai Liu. Motor driving/braking control scheme with integration of multiple driving components. Asian Journal of Control. 2020; 23 (3):1110-1120.

Chicago/Turabian Style

Chia‐Hung Tu; Yu‐Chen Chang; Chun‐Liang Lin; Van‐Tsai Liu. 2020. "Motor driving/braking control scheme with integration of multiple driving components." Asian Journal of Control 23, no. 3: 1110-1120.

Journal article
Published: 10 September 2020 in Electronics
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Most electric vehicles use regenerative brakes, since this kind of braking system design recycles electromotive force to increase electric power endurance during braking. This research proposes a sensor-free, integrated driving and braking control system that uses a space-vector-pulse-width module to synthesize stator current by purpose. It calculates the rotor position angle of the motor by detecting variation in the stator current and completes a closed-loop control. When the motor receives a brake command, the controller changes the inverter-switching sequence to generate reverse torque and a magnetic field to complete the driving or braking function using field-oriented control (FOC). This provides a smoother and more accurate motor control than sinusoidal commands with Hall feedback. Compared to the regenerative brake and rheostatic brake, the proposed braking system has a powerful braking torque and shorter reaction time. Comparisons of reaction times for a modified four-wheel electric vehicle equipped with a permanent magnet synchronous motor under neutral-sliding-status, FOC based braking, and short-circuit braking were conducted.

ACS Style

Shang-Ming Liu; Chia-Hung Tu; Chun-Liang Lin; Van-Tsai Liu. Field-Oriented Driving/Braking Control for Electric Vehicles. Electronics 2020, 9, 1484 .

AMA Style

Shang-Ming Liu, Chia-Hung Tu, Chun-Liang Lin, Van-Tsai Liu. Field-Oriented Driving/Braking Control for Electric Vehicles. Electronics. 2020; 9 (9):1484.

Chicago/Turabian Style

Shang-Ming Liu; Chia-Hung Tu; Chun-Liang Lin; Van-Tsai Liu. 2020. "Field-Oriented Driving/Braking Control for Electric Vehicles." Electronics 9, no. 9: 1484.

Journal article
Published: 22 March 2020 in Actuators
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A sensorless driving/braking control system for electric vehicles is explained in the present paper. In the proposed system, a field-oriented control (FOC) was used to integrate driving and braking controls in a unified module for reducing the cost of hardware and simultaneously incorporating functional flexibility. An antilock braking system can swiftly halt a vehicle during emergency braking. An electromagnetic reverse braking scheme that provided retarding torque to a running wheel was developed. The scheme could switch the state of the MOSFETs used in the system by alternating the duty cycle of pulse width modulation to adjust the braking current generated by the back electromotive force (EMF) of the motor. In addition, because the braking energy required for the electromagnetic braking scheme is related only to the back EMF, the vehicle operator can control the braking force and safely stop an electric vehicle at high speeds. The proposed integrated sensorless driving and electromagnetic braking system was verified experimentally.

ACS Style

En-Ping Chen; Jiangfeng Cheng; Jia-Hung Tu; Chun-Liang Lin. Sensorless Driving/Braking Control for Electric Vehicles. Actuators 2020, 9, 22 .

AMA Style

En-Ping Chen, Jiangfeng Cheng, Jia-Hung Tu, Chun-Liang Lin. Sensorless Driving/Braking Control for Electric Vehicles. Actuators. 2020; 9 (1):22.

Chicago/Turabian Style

En-Ping Chen; Jiangfeng Cheng; Jia-Hung Tu; Chun-Liang Lin. 2020. "Sensorless Driving/Braking Control for Electric Vehicles." Actuators 9, no. 1: 22.

Journal article
Published: 20 March 2020 in Computers & Chemical Engineering
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Genetic networks play an important role in systems biology as they explain the interactions between genes and proteins. However, the genetic networks are described by dynamical systems with nonlinear uncertainties and usually affected by stochastic internal fluctuations, and stochastic external disturbances. The design addressed in this paper is concerned with robust state estimator of stochastic genetic networks in the presence of nonlinear uncertainties. The objective is to estimate the true concentrations of mRNAs and proteins of the noisy nonlinear genetic networks. Based on the notion of Lyapunov functions, we improve the design condition for the robust estimator to ensure that the estimation error satisfies H∞ performance criterion. The sufficient condition is derived in terms of parameter-dependent linear matrix inequalities, which are convex constraints, and can be efficiently solved via the sum-of-squares technique. We provide two numerical examples of real genetic networks to illustrate the effectiveness of the proposed method.

ACS Style

Tanagorn Jennawasin; Chun-Liang Lin; David Banjerdpongchai. Parameter-dependent linear matrix inequality approach to robust state estimation of noisy genetic networks. Computers & Chemical Engineering 2020, 136, 106811 .

AMA Style

Tanagorn Jennawasin, Chun-Liang Lin, David Banjerdpongchai. Parameter-dependent linear matrix inequality approach to robust state estimation of noisy genetic networks. Computers & Chemical Engineering. 2020; 136 ():106811.

Chicago/Turabian Style

Tanagorn Jennawasin; Chun-Liang Lin; David Banjerdpongchai. 2020. "Parameter-dependent linear matrix inequality approach to robust state estimation of noisy genetic networks." Computers & Chemical Engineering 136, no. : 106811.

Research article
Published: 25 March 2019 in IET Electric Power Applications
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Although the antilock braking system (ABS) has been commonly used in electric vehicles (EVs), most of the vehicles still use the traditional hydraulic-based disc brake in which the driving and the braking systems are two individual modules. A novel integrated driving and braking control system with an ABS for EVs was developed, and an electric scooter was used as the experimental object. While braking, the motor acts as a generator. The autonomously generated inertial energy was used to generate a reverse magnetic braking torque and realise an antilock braking control with fast response. Compared with the existing regenerative and short-circuit braking methods, the proposed method uses back electromotive force to yield a reverse magnetic braking torque in a sophisticated manner. In the proposed method, a capacitor-aided regenerative braking strategy was used in an antilock braking controller. For the ABS control design, the slip ratio was maintained within an optimal range for obtaining the best tyre–road surface adhesion using a fuzzy slip ratio controller to prevent the wheel from skidding during emergency braking. For real-world verification, the electric scooter was subjected to various on-road tests to examine the performance of the proposed method.

ACS Style

Yu‐Chan Chen; Chia‐Hung Tu; Chun‐Liang Lin. Integrated electromagnetic braking/driving control of electric vehicles using fuzzy inference. IET Electric Power Applications 2019, 13, 1014 -1021.

AMA Style

Yu‐Chan Chen, Chia‐Hung Tu, Chun‐Liang Lin. Integrated electromagnetic braking/driving control of electric vehicles using fuzzy inference. IET Electric Power Applications. 2019; 13 (7):1014-1021.

Chicago/Turabian Style

Yu‐Chan Chen; Chia‐Hung Tu; Chun‐Liang Lin. 2019. "Integrated electromagnetic braking/driving control of electric vehicles using fuzzy inference." IET Electric Power Applications 13, no. 7: 1014-1021.

Journal article
Published: 13 February 2019 in IEEE Sensors Journal
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ACS Style

Changchen Zhao; Weihai Chen; Chun-Liang Lin; Xingming Wu. Physiological Signal Preserving Video Compression for Remote Photoplethysmography. IEEE Sensors Journal 2019, 19, 4537 -4548.

AMA Style

Changchen Zhao, Weihai Chen, Chun-Liang Lin, Xingming Wu. Physiological Signal Preserving Video Compression for Remote Photoplethysmography. IEEE Sensors Journal. 2019; 19 (12):4537-4548.

Chicago/Turabian Style

Changchen Zhao; Weihai Chen; Chun-Liang Lin; Xingming Wu. 2019. "Physiological Signal Preserving Video Compression for Remote Photoplethysmography." IEEE Sensors Journal 19, no. 12: 4537-4548.

Journal article
Published: 01 December 2018 in Actuators
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Looking at new trends in global policies, electric vehicles (EVs) are expected to increasingly replace gasoline vehicles in the near future. For current electric vehicles, the motor current driving system and the braking control system are two independent issues with separate design. If a self-induced back-EMF voltage from the motor is a short circuit, then short-circuiting the motor will result in braking. The higher the speed of the motor, the stronger the braking effect. However, the effect is deficient quickly once the motor speed drops quickly. Traditional kinetic brake (i.e., in the short circuit is replaced by a resistor) and dynamic brake (the short circuit brake is replaced by a capacitor) rely on the back EMF alone to generate braking toque. The braking torque generated is usually not enough to effectively stop a rotating motor in a short period of time. In this research task, an integrated driving and braking control system is considered for EVs with an active regenerative braking control system where back electromagnetic field (EMF), controlled by the pulse-width modulation (PWM) technique, is used to charge a pump capacitor. The capacitor is used as an extra energy source cascaded with the battery as a charge pump. This is used to boost braking torque to stop the rotating motor in an efficient way while braking. Experiments are conducted to verify the proposed design. Compared to the traditional kinetic brake and dynamic brake, the proposed active regenerative control system shows better braking performance in terms of stopping time and stopping distance.

ACS Style

Chun-Liang Lin; Hao-Che Hung; Jia-Cheng Li. Active Control of Regenerative Brake for Electric Vehicles. Actuators 2018, 7, 84 .

AMA Style

Chun-Liang Lin, Hao-Che Hung, Jia-Cheng Li. Active Control of Regenerative Brake for Electric Vehicles. Actuators. 2018; 7 (4):84.

Chicago/Turabian Style

Chun-Liang Lin; Hao-Che Hung; Jia-Cheng Li. 2018. "Active Control of Regenerative Brake for Electric Vehicles." Actuators 7, no. 4: 84.

Journal article
Published: 14 August 2018 in Journal of Biological Engineering
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Synthesis of a variety of biological circuits for specific functional purposes has made a tremendous progress in recent years. The ultimate goal of combining molecular biology and engineering is to realize a functional biocomputer. To address this challenge, all previous efforts work toward building up the bio-computer as the ultimate goal. To this aim, there should be a key module, named control unit (CU), to direct a serious of logic or arithmetic operations within the processor. This research task develops a bio-CU to work with a bio-ALU, which is realized from the combination of previously developed genetic logic gates to fulfill the kernel function of CPU as those done in the silicon computer. A possible framework of the bio-CPU has demonstrated how to connect a bio-CU with a bio-ALU to conduct a fetch-decode-execute cycle of a macro instruction. It presents not only capability of 4-bit full adder but coordination of related modules in biocomputer. We have demonstrated computer simulation for applications of the genetic circuits in biocomputer construction. It's expected to inspire follow-up study to synthesize potential configurations of the future biocomputer.

ACS Style

Chun-Liang Lin; Ting-Yu Kuo; Wei-Xian Li. Synthesis of control unit for future biocomputer. Journal of Biological Engineering 2018, 12, 14 .

AMA Style

Chun-Liang Lin, Ting-Yu Kuo, Wei-Xian Li. Synthesis of control unit for future biocomputer. Journal of Biological Engineering. 2018; 12 (1):14.

Chicago/Turabian Style

Chun-Liang Lin; Ting-Yu Kuo; Wei-Xian Li. 2018. "Synthesis of control unit for future biocomputer." Journal of Biological Engineering 12, no. 1: 14.

Conference paper
Published: 01 June 2018 in 2018 International Conference on System Science and Engineering (ICSSE)
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Nowadays, technology of data transmission is growing fast and has been well applied to different fields depending on practical demands. In which, internet-of-things (IoT)-related applications are the most popular mechanism with respective application scenarios. This study integrates ECG-based biometric authentication to create a sophisticated application for extreme demand of access security to the IOT system. This mechanism not only increases the users' convenience, but greatly protects privacy of the users.

ACS Style

Yang-Yi Chen; Chun-Liang Chen; Chun-Liang Lin; Cheng-Tang Chiang. Application of ECG Authentication in IoT-Based Systems. 2018 International Conference on System Science and Engineering (ICSSE) 2018, 1 -6.

AMA Style

Yang-Yi Chen, Chun-Liang Chen, Chun-Liang Lin, Cheng-Tang Chiang. Application of ECG Authentication in IoT-Based Systems. 2018 International Conference on System Science and Engineering (ICSSE). 2018; ():1-6.

Chicago/Turabian Style

Yang-Yi Chen; Chun-Liang Chen; Chun-Liang Lin; Cheng-Tang Chiang. 2018. "Application of ECG Authentication in IoT-Based Systems." 2018 International Conference on System Science and Engineering (ICSSE) , no. : 1-6.

Conference paper
Published: 01 May 2018 in 2018 13th IEEE Conference on Industrial Electronics and Applications (ICIEA)
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There are two novel techniques in the research of wireless power transfer (WPT), i.e. bidirectional WPT and bidirectional data transmission. The bidirectional WPT allows vehicles to be charged and provide charge to other accepting objects; the bidirectional data transmission allows the WPT system charging without any additional communication device. Both of them are sensitive to the induction coil alignment. Due to the misalignment between the transmission coil and the receiver coil, the output power will result in a drop. The misalignment problem affects the power transmission efficiency significantly. This paper combines bidirectional wireless power transfer with bidirectional data transmission, and constructs a complete bidirectional charging system through a fuzzy control strategy to resolve the issue.

ACS Style

Hau-Shian Jian; Jia-Jing Kao; Chun-Liang Lin. Adaptive wireless power charging system. 2018 13th IEEE Conference on Industrial Electronics and Applications (ICIEA) 2018, 627 -632.

AMA Style

Hau-Shian Jian, Jia-Jing Kao, Chun-Liang Lin. Adaptive wireless power charging system. 2018 13th IEEE Conference on Industrial Electronics and Applications (ICIEA). 2018; ():627-632.

Chicago/Turabian Style

Hau-Shian Jian; Jia-Jing Kao; Chun-Liang Lin. 2018. "Adaptive wireless power charging system." 2018 13th IEEE Conference on Industrial Electronics and Applications (ICIEA) , no. : 627-632.

Journal article
Published: 16 April 2018 in IEEE Transactions on Vehicular Technology
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Implementation of a multifunctional contactless bidirectional charging and discharging system with the aid of giant magnetoresistance (GMR) effect for car parking guidance is proposed. Traditional Hall effect sensors can detect magnetic flux changes. However, if the changes are not significant enough to induce detectable interference voltage, there will be error detection. To remedy, a GMR sensor may detect tiny changes in the magnetic field which will produce a larger change in resistance; this resistance is less susceptible to external noise influence while generating a relatively stable signal level. As a novel application, our research task combines a GMR sensor, a flexible magnetic stripe constituted by GMRs, a microprocessor and a wireless inductive power/data transfer module to realize a positioning control system for the parking lot's micro grid. Real-world experiments are conducted to verify the proposed approach.

ACS Style

Chih-Cheng Huang; Chun-Liang Lin; Jia-Jing Kao; Jun-Jay Chang; Geeng-Jen Sheu. Vehicle Parking Guidance for Wireless Charge Using GMR Sensors. IEEE Transactions on Vehicular Technology 2018, 67, 6882 -6894.

AMA Style

Chih-Cheng Huang, Chun-Liang Lin, Jia-Jing Kao, Jun-Jay Chang, Geeng-Jen Sheu. Vehicle Parking Guidance for Wireless Charge Using GMR Sensors. IEEE Transactions on Vehicular Technology. 2018; 67 (8):6882-6894.

Chicago/Turabian Style

Chih-Cheng Huang; Chun-Liang Lin; Jia-Jing Kao; Jun-Jay Chang; Geeng-Jen Sheu. 2018. "Vehicle Parking Guidance for Wireless Charge Using GMR Sensors." IEEE Transactions on Vehicular Technology 67, no. 8: 6882-6894.

Research article
Published: 01 February 2018 in IET Image Processing
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Sobriety test, which commonly uses a breathalyser for estimating blood alcohol content (BAC) from a breath sample, is commonly used to detect drunk driving. The detection often gives rise to sanitary concern and violation of human right. This research proposes a new method that employs non-invasive measurement of photoplethysmography (PPG) signal for detecting BAC of the test subject under the sobriety test. The PPG signal is measured via an LED transmitter and a receiver that illuminates finger and measures the changes in lighting. Since a PPG signal contains information of systolic and diastolic blood pressure, it is possible to be used for the purpose of detecting BAC. The authors have developed a practical alcohol sobriety test system to analyse the status of alcohol intake of the subject. Extensive tests have been conducted to examine feasibility of the proposed system with an identification rate up to 85%.

ACS Style

Yang‐Yi Chen; Chun‐Liang Lin; Yu‐Cheng Lin; Changchen Zhao. Non‐invasive detection of alcohol concentration based on photoplethysmogram signals. IET Image Processing 2018, 12, 188 -193.

AMA Style

Yang‐Yi Chen, Chun‐Liang Lin, Yu‐Cheng Lin, Changchen Zhao. Non‐invasive detection of alcohol concentration based on photoplethysmogram signals. IET Image Processing. 2018; 12 (2):188-193.

Chicago/Turabian Style

Yang‐Yi Chen; Chun‐Liang Lin; Yu‐Cheng Lin; Changchen Zhao. 2018. "Non‐invasive detection of alcohol concentration based on photoplethysmogram signals." IET Image Processing 12, no. 2: 188-193.

Article
Published: 31 January 2018 in The Journal of Engineering
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In recent years, brushless DC motors (BLDCMs) have replaced brushed DC motors in the design of electric scooters (ESs). This study proposes a new antilock braking system (ABS) based on a slip ratio estimator for ES utilising the braking force generated by the BLDCM when electrical energy is released to the virtual load, yielding an effect analogous to the ABS control in gas-powered vehicles. Compared with mechanical ABS, the proposed design possesses the advantage of rapid torque responses because no mechanical parts needed. Current control design is used to adjust the braking torque, and the sliding-mode control strategy is adopted to regulate the slip ratio to attain the optimal road adhesion during emergency braking. A variety of experiments are conducted for functional and performance verification.

ACS Style

Chun‐Liang Lin; Meng‐Yao Yang; En‐Ping Chen; Yu‐Chan Chen; Wen‐Cheng Yu. Antilock braking control system for electric vehicles. The Journal of Engineering 2018, 2018, 60 -67.

AMA Style

Chun‐Liang Lin, Meng‐Yao Yang, En‐Ping Chen, Yu‐Chan Chen, Wen‐Cheng Yu. Antilock braking control system for electric vehicles. The Journal of Engineering. 2018; 2018 (2):60-67.

Chicago/Turabian Style

Chun‐Liang Lin; Meng‐Yao Yang; En‐Ping Chen; Yu‐Chan Chen; Wen‐Cheng Yu. 2018. "Antilock braking control system for electric vehicles." The Journal of Engineering 2018, no. 2: 60-67.

Journal article
Published: 01 January 2018 in Journal of Phylogenetics & Evolutionary Biology
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ACS Style

Chun Liang Lin; Wei Xian Li. Commentary on Recent Development of Biological Computer. Journal of Phylogenetics & Evolutionary Biology 2018, 6, 1 .

AMA Style

Chun Liang Lin, Wei Xian Li. Commentary on Recent Development of Biological Computer. Journal of Phylogenetics & Evolutionary Biology. 2018; 6 (2):1.

Chicago/Turabian Style

Chun Liang Lin; Wei Xian Li. 2018. "Commentary on Recent Development of Biological Computer." Journal of Phylogenetics & Evolutionary Biology 6, no. 2: 1.

Journal article
Published: 01 January 2018 in Advances in Science, Technology and Engineering Systems Journal
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ACS Style

Jia-Jing Kao; Chun-Liang Lin; Chih-Cheng Huang; Hau-Shian Jian. Contactless Power and Bidirectional Data Transmission via Magnetic Field. Advances in Science, Technology and Engineering Systems Journal 2018, 3, 226 -234.

AMA Style

Jia-Jing Kao, Chun-Liang Lin, Chih-Cheng Huang, Hau-Shian Jian. Contactless Power and Bidirectional Data Transmission via Magnetic Field. Advances in Science, Technology and Engineering Systems Journal. 2018; 3 (5):226-234.

Chicago/Turabian Style

Jia-Jing Kao; Chun-Liang Lin; Chih-Cheng Huang; Hau-Shian Jian. 2018. "Contactless Power and Bidirectional Data Transmission via Magnetic Field." Advances in Science, Technology and Engineering Systems Journal 3, no. 5: 226-234.