- Changhua, T'ai-wan, Taiwan
- Communication, Digital Signal Processing, Microwave, Analog Circuit Design, Environmental Informatics, Soft Computing, and 13 moreIntelligent Systems, Fuzzy Logic, Fuzzy Control, Support Vector Machines, Artificial Neural Networks, Hybrid Systems, Multi Agent Systems and Technologies, Electrical Engineering, Robotics, Automation, Intelligent Control, Control system, and Intelligent Systemedit
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Automated inspection has proven to be the most effective approach to maintaining quality in industrial-scale manufacturing. This study employed the eye-in-hand architecture in conjunction with deep learning and convolutional neural... more
Automated inspection has proven to be the most effective approach to maintaining quality in industrial-scale manufacturing. This study employed the eye-in-hand architecture in conjunction with deep learning and convolutional neural networks to automate the detection of defects in forged aluminum rims for electric vehicles. RobotStudio software was used to simulate the environment and path trajectory for a camera installed on an ABB robot arm to capture 3D images of the rims. Four types of surface defects were examined: (1) dirt spots, (2) paint stains, (3) scratches, and (4) dents. Generative adversarial network (GAN) and deep convolutional generative adversarial networks (DCGAN) were used to generate additional images to expand the depth of the training dataset. We also developed a graphical user interface and software system to mark patterns associated with defects in the images. The defect detection algorithm based on YOLO algorithms made it possible to obtain results more quickl...
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paper presented the proximity capacitive sensor using recursive Chebyshev neural network (RCNN) to detect user gesture. The human interactive gesture signal analyses have been a research topic smart home fields that algorithms build in... more
paper presented the proximity capacitive sensor using recursive Chebyshev neural network (RCNN) to detect user gesture. The human interactive gesture signal analyses have been a research topic smart home fields that algorithms build in local device to recognize real time. The neural network have been used in many fields that including identification, control and classification. The features of RCNN have Chebyshev polynomials to train and map different capacitance input value. Moreover, the recursive weight record previous signal to add learn procession. Therefore, the RCNN methods to identify user gesture has satisfactory response.
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This paper presented a rotation memory neural network identify elders fall situation in wearable device. The older human signal analysis have been a research topic health care fields that algorithms build in wearable device real time... more
This paper presented a rotation memory neural network identify elders fall situation in wearable device. The older human signal analysis have been a research topic health care fields that algorithms build in wearable device real time detect fall situation. However, the wearable device system code size is limited. Therefore, we utilize rotation memory methods to adjust weight that simplify tradition self-organizing neural network. In the experimental results, the rotation memory neural network identify human fall signal. In addition, we used wearable device combined BLE (Bluetooth low energy) feedback output response real time.
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Motion control is an essential part of industrial machinery and manufacturing systems. In this paper, the adaptive fuzzy controller is designed to the position control of X-Y linear stage for precision motion and trajectory tracking... more
Motion control is an essential part of industrial machinery and manufacturing systems. In this paper, the adaptive fuzzy controller is designed to the position control of X-Y linear stage for precision motion and trajectory tracking control. The direct fuzzy controller controller is developed to demonstrate the feasibility to track a reference trajectory. The Lyapunov stability theorem has been used to testify the asymptotic stability of the whole system and the free parameters of the adaptive fuzzy controller can be tuned on-line by an output feedback control law. The simulation results are presented to verify the tracking performances of the proposed controllers.
This paper presented a Laypunov base fuzzy expert knowledge model identify human fall signal in wearable device. The older human signal analysis have been a research topic health care fields that algorithms build in wearable device real... more
This paper presented a Laypunov base fuzzy expert knowledge model identify human fall signal in wearable device. The older human signal analysis have been a research topic health care fields that algorithms build in wearable device real time detect fall situation. The fuzzy expert knowledge model used knowledge base to identify human fall situation, and we also combined Lyapunov convergent theories to adjust knowledge base. In the experimental results, the fuzzy expert knowledge model analysis human fall signal. In addition, we used wearable device combined BLE (Bluetooth low energy) feedback output response real time.
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Synchronized motion control with high accuracy becomes very essential part in industry. Due to some possible effect such as unknown disturbance or unmatched system model, it is difficult to obtain the precision of synchronous control... more
Synchronized motion control with high accuracy becomes very essential part in industry. Due to some possible effect such as unknown disturbance or unmatched system model, it is difficult to obtain the precision of synchronous control using the conventional proportional–integral control method with parallel architecture. The adaptive compensator must be employed to eliminate tracking errors. The objective of this research is to propose the modified cross-coupling architecture using single-neuron proportional–integral controller and a synchronous compensator for dual-axis linear actuator. The single-neuron proportional–integral control strategy with delta learning algorithm can adjust the weighting coefficients of controllers to provide the robustness for each single-axis DC linear actuator system. A back-propagation neural network compensator is designed to adaptively reduce position and velocity errors between the two-axis servo systems. Both simulation and experimental results are ...
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Motion control is an essential part of industrial machinery and manufacturing systems. In this article, the adaptive fuzzy controller is proposed for precision trajectory tracking control in biaxial X-Y motion stage system. The... more
Motion control is an essential part of industrial machinery and manufacturing systems. In this article, the adaptive fuzzy controller is proposed for precision trajectory tracking control in biaxial X-Y motion stage system. The theoretical analyses of direct fuzzy control which is insensitive to parameter uncertainties and external load disturbances are derived to demonstrate the feasibility to track the reference trajectories. The Lyapunov stability theorem has been used to testify the asymptotic stability of the whole system, and all the signals are bounded in the closed-loop system. The intelligent position controller combines the merits of the adaptive fuzzy control with robust characteristics and learning ability for periodic command tracking of a servo drive mechanism. The simulation and experimental results on square, triangle, star, and circle reference contours are presented to show that the proposed controller indeed accomplishes the better tracking performances with regar...
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High-precision trajectory control is considered as an important factor in the performance of industrial two-axis contour motion systems. This research presents an adaptive direct fuzzy cerebellar model articulation controller (CMAC)... more
High-precision trajectory control is considered as an important factor in the performance of industrial two-axis contour motion systems. This research presents an adaptive direct fuzzy cerebellar model articulation controller (CMAC) sliding mode control (DFCMACSMC) for the precise control of the industrial XY-axis motion system. The FCMAC was utilized to approximate an ideal controller, and the weights of FCMAC were on-line tuned by the derived adaptive law based on the Lyapunov criterion. With this derivation in mind, the asymptotic stability of the developed motion system could be guaranteed. The two-axis stage system was experimentally investigated using four contours, namely, circle, bowknot, heart, and star reference contours. The experimental results indicate that the proposed DFCMACSMC method achieved the improved tracking capability, and so reveal that the DFCMACSMC scheme outperformed other schemes of the model uncertainties and cross-coupling interference.
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As society gradually relies on technologies to prevent dangers and detect the environment, the processing of data transmission and analysis becomes important. In recent years, firefighters are sacrificed during rescue missions. Even with... more
As society gradually relies on technologies to prevent dangers and detect the environment, the processing of data transmission and analysis becomes important. In recent years, firefighters are sacrificed during rescue missions. Even with the high-tech equipment in the current era, the lives of firefighters are not prevented in the fire scene. Thus, this research designs and develops an alarm system for hospitals and schools. The Message Queuing Telemetry Transport (MQTT) technology and fire sensors are utilized and integrated to extract the conditions of the environment. In the system, the subscriber server collects the data on a personal computer. Also, the website and database server monitor the wards in a hospital. Integrating and designing the systems help to understand the emergent situation.
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In this paper, a multipath mitigation tracking system is presented for static GPS applications. It is comprised of four function blocks, those being (1) adaptive path estimator (APE), (2) multipath interference reproducer (MPIR), (3)... more
In this paper, a multipath mitigation tracking system is presented for static GPS applications. It is comprised of four function blocks, those being (1) adaptive path estimator (APE), (2) multipath interference reproducer (MPIR), (3) Rake-based delay locked loop (RB-DLL), and (4) Rake-based phase locked loop (RB-PLL). Only the short delay condition with delay less than 1.5 PN chip is considered here, because GPS pseudorange error envelope decreases to zero for delay time greater than 1.5 PN chip. In order to estimate reflection profile in the correlation domain, the FFT-based circular correlation and block average method (BAM) are utilized to offer significant savings in computational complexity. The APE estimates the delayed profiles and coefficients of the reflection signals. With the path parameters from APE, the corresponding multipath arms are activated to accomplish the multipath reproduction. These replica profiles are used for subtracting the reflection components from carri...
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Gantry systems in which two linear motors are used to drive a single axis provide flexible and efficient solutions for a wide range of material handling applications. It is an important issue to find a way to drive the parallel stage to... more
Gantry systems in which two linear motors are used to drive a single axis provide flexible and efficient solutions for a wide range of material handling applications. It is an important issue to find a way to drive the parallel stage to achieve a synchronous motion effectively and precisely. In this research, the proportional–integral–derivative–type fuzzy controller structure is presented for precision trajectory tracking control in synchronized XY motion gantry stage system. Three proportional–integral–derivative–type fuzzy controllers are designed for each axis, and the complete membership functions and rule table are developed to fulfill the better tracking capability. The controller parameters, which include the scaling factor of fuzzy rules and proportional–integral structures, are searched using the cross-mixing global artificial bee colony algorithm. The algorithm can optimize these parameters based on the integral of the time-weighted absolute error criterion. MATLAB system...
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Abstract A new loop filter design method for phase locked loops (PLLs) is presented, which employs multi-objective control technique to deal with the various design objectives: small noise bandwidth, good transient response (small... more
Abstract A new loop filter design method for phase locked loops (PLLs) is presented, which employs multi-objective control technique to deal with the various design objectives: small noise bandwidth, good transient response (small settling time, small overshoot), and large ...
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In this paper, an unified hardware architecture for the complete set of transforms in VC-1 codec is presented. By our proposed Five-step operation sharing synthesis (FOSS) technique for the matrix multiplications of respective transform... more
In this paper, an unified hardware architecture for the complete set of transforms in VC-1 codec is presented. By our proposed Five-step operation sharing synthesis (FOSS) technique for the matrix multiplications of respective transform and operation units sharing method for all transforms, the unified architecture has been mapped into 2-D 4x4 forward/inverse transforms, 1-D 4x4 forward/inverse transforms, and 1-D 8x8 forward/inverse transforms resulting in 45 sub/adders, 51 adders, 14 subtractors, 124 shifters, and 8 groups of multiplexers. The architecture calculates 16 inputs and 8 outputs in parallel for the 2-D 4x4 forward/inverse transforms, 8 inputs and 8 outputs in parallel for the 1-D 8x8 forward/inverse transforms, and 4 inputs and 4 outputs in parallel for 1-D 4x4 forward/inverse transforms. The register array is not necessary for transpose operations of 2-D 4x4 forward/inverse transforms. With 8 pixels/cycle throughput, the proposed design can complete the computation in...
ABSTRACT Galileo will be Europe's own Global Navigation Satellite System (GNSS), which is aiming to provide highly accurate and guaranteed positioning services. Galileo E1 system has a code period of 4ms which is quadruple that of... more
ABSTRACT Galileo will be Europe's own Global Navigation Satellite System (GNSS), which is aiming to provide highly accurate and guaranteed positioning services. Galileo E1 system has a code period of 4ms which is quadruple that of GPS C/A code. In other words, due to the large number of hypotheses in code phase at acquisition stage, a longer searching time or more hardware resource is required. It is difficult to acquire Galileo signal because of longer code length and the multiple peaks of autocorrelation function of BOC modulation. In this paper, the cyclically shift-and-combine (CSC) and BPSK-like architectures are employed to resolve the unambiguous acquisition for BOC modulation and acquires these satellite signals with hardware complexity reduction. The concept of CSC code is to modify the code structure and shorten the code period such that the acquisition burden can be decreased. Simulation results show that our proposed search algorithm can provide better performances in terms of low hardware complexity for acquiring these satellite signals and detection probability at the low value of CNR.
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ABSTRACT The microwave dielectric constants of ceramic dispersions in the polyethylene matrix are studied by five well-known mixture equations in this article. Three ceramic powders of fillers with various dielectric constants at 10 GHz... more
ABSTRACT The microwave dielectric constants of ceramic dispersions in the polyethylene matrix are studied by five well-known mixture equations in this article. Three ceramic powders of fillers with various dielectric constants at 10 GHz are investigated. The experimental dielectric constant values of the mixtures are compared to the theoretical curves of the five mixing rules. The dielectric constants of pure ceramics are then estimated by these mixing laws from the dielectric constants of composites of various filler concentrations. The theoretical errors of estimations of rules are derived and analyzed. The most adequate mixture law(s) for measuring the dielectric constants of ceramic fillers will be recommended. © 2011 Wiley Periodicals, Inc. Microwave Opt Technol Lett 53:2481–2485, 2011; View this article online at wileyonlinelibrary.com. DOI 10.1002/mop.26357
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A general review and comparison on two types widely adopted measurement techniques of dielectric constant and dielectric loss at microwave frequencies has been undertaken. Characteristics of various transmission/reflection techniques and... more
A general review and comparison on two types widely adopted measurement techniques of dielectric constant and dielectric loss at microwave frequencies has been undertaken. Characteristics of various transmission/reflection techniques and resonance techniques are compared with each other. Suggestions on how to select adequate measurement techniques of microwave dielectric properties are given. The resonance techniques are better choice for low loss measurements but lack of the swept frequency capability. The transmission/reflection techniques have the measurement characteristic of frequency sweeping, but limited on the loss tangent measurement accuracy. To confirm the accuracy of research, practical measurements by some chosen methods are made and the results are compared.
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Galileo will be Europe's own Global Navigation Satellite System (GNSS), which is aiming to provide highly accurate and guaranteed positioning services. Among several services for separate target groups, Galileo Open Services (OS) are... more
Galileo will be Europe's own Global Navigation Satellite System (GNSS), which is aiming to provide highly accurate and guaranteed positioning services. Among several services for separate target groups, Galileo Open Services (OS) are designed for mass-markets, and they will be available worldwide and free of charge for all users. Galileo E1 system has a code period of 4ms which is quadruple that of GPS C/A code. In other words, due to the large number of hypotheses in code phase at acquisition stage, a longer searching time or more hardware resource is required and a dual estimate receiver of binary offset carrier (BOC) signals for Galileo system applications is described. It is difficult to acquire Galileo signal because of longer code length and the autocorrelation function (ACF) of BOC modulation. In this paper, we use cyclically shift-and-combine (CSC) and BPSK-like architectures the impact of unambiguous acquisition algorithms for BOC modulation, and that proposed method ac...
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Abstract H. 264/AVC outperforms the previous coding standards thanks to variable block size motion compensation (VBSMC) ranging from 4× 4 to 16× 16 in interframe coding. However, this new feature causes extremely high computation... more
Abstract H. 264/AVC outperforms the previous coding standards thanks to variable block size motion compensation (VBSMC) ranging from 4× 4 to 16× 16 in interframe coding. However, this new feature causes extremely high computation complexity when rate-...
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ABSTRACT This study presents a code acquisition architecture for a global navigation satellite system (GNSS). The proposed scheme aim to reduce buffer resource required without reducing the number of code, frequency and satellite bins.... more
ABSTRACT This study presents a code acquisition architecture for a global navigation satellite system (GNSS). The proposed scheme aim to reduce buffer resource required without reducing the number of code, frequency and satellite bins. Therefore the GNSS signal has no information loss. The code acquisition process in a GNSS attempts to find the code phase of a satellite signal, and it includes three procedures: coherent integration (CI), correlation and in CI. The proposed code acquisition architecture provides a lower operation count for correlation with reduced memory consumption. Firstly, the memory in CI and the shift register in the correlator are integrated by changing the operation sequence of CI and correlation. Thus, half of the memory in CI can be removed, and the shift register becomes the sharing buffer for both correlation and CI. Secondly, the addition count in the correlation is reduced by combining a parallel differential matched filter (PDMF) with a two-dimensional (2D) architecture to form a memory-based 2D-PDMF correlator. Finally, changing the sample sequence before integration reduces the memory of in CI. Compared with conventional code acquisition, the proposed design can reduce register consumption by 80% and addition count by 60% operation count for correlation and 50% memory consumption of incoherent integration.
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ABSTRACT For 10GBASE-T systems, variation in a multiple-input-multiple-output (MIMO) channel degrades the decision-point signal-to-noise ratio (DP-SNR) owing to imperfect pre-equalisation in the Tomlinson-Harashima precoding (THP) at the... more
ABSTRACT For 10GBASE-T systems, variation in a multiple-input-multiple-output (MIMO) channel degrades the decision-point signal-to-noise ratio (DP-SNR) owing to imperfect pre-equalisation in the Tomlinson-Harashima precoding (THP) at the transmitter sides and catastrophic error propagation in far-end crosstalk (FEXT) cancellation at the receiver sides. Moreover, by using fixed THP coefficients during data transmission, as specified in the 10GBASE-T standard, and the non-linearity of THP pose challenges in the design of adaptive receivers. The authors propose an adaptive two-stage equalisation and FEXT cancellation (TS-EFC) architecture without updating the THP coefficients to combat channel variation at both the transmitter and receiver sides. In the first stage, we propose a new non-decision-directed FEXT canceller at the transmitter side using a joint training architecture to avoid error propagation. In the second stage, we devise an adaptive MIMO equaliser together with a novel pre-processing unit at the receiver side to combat channel variation. The pre-processing unit can eliminate the non-linearity issue by estimating both effective data sequences and precoded channel inputs. In addition, we develop a block least mean square algorithm that exploits the properties of two-dimensional modulated symbols for updating coefficients of the adaptive MIMO equaliser. Simulation results show that our TS-EFC architecture is robust against channel variation and significantly improves the DP-SNR. It eliminates the error propagation and also achieves faster convergence rates during the adaptation process.
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Tracking is an important step in the signal processing section of a GPS receiver. It detects the presence of GPS signals received by antenna and provides precise estimation of the code phase and Doppler frequency for navigation data... more
Tracking is an important step in the signal processing section of a GPS receiver. It detects the presence of GPS signals received by antenna and provides precise estimation of the code phase and Doppler frequency for navigation data demodulation. The main ...
Acquisition is the first step in the signal processing section of a Global Position System (GPS) receiver. It detects the presence of a GPS signal received by antenna and provides estimates of code phase and Doppler frequency to the... more
Acquisition is the first step in the signal processing section of a Global Position System (GPS) receiver. It detects the presence of a GPS signal received by antenna and provides estimates of code phase and Doppler frequency to the tracking loops. Three ...
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Acquisition is the first step in the signal processing section of a Global Position System (GPS) receiver. It detects the presence of a GPS signal received by antenna and provides estimates of code phase and Doppler frequency to the... more
Acquisition is the first step in the signal processing section of a Global Position System (GPS) receiver. It detects the presence of a GPS signal received by antenna and provides estimates of code phase and Doppler frequency to the tracking loops. Three ...