Papers by Juing-Shian Chiou
IEEE Access, 2020
Daily total electron content (TEC) images created by splitting TEC maps for three time periods fr... more Daily total electron content (TEC) images created by splitting TEC maps for three time periods from September 1 to 24, 1999; from February 1 to 24, 2003; and from May 1 to 24, 2003 (Taiwan Standard Time [TST]) as training images (inputs) were used to create two convolutional neural network (CNN) models. However, splitting the TEC maps of the three time periods into daily TEC images caused wedge effects. The wedge effects were reduced using a low-pass filter called the Butterworth filter. This resulted in clearer TEC precursors for earthquakes, facilitating the identification of earthquakes of magnitude M w ≥ 5.0 that exhibited associated TEC precursors during three periods, particularly for the Chi-Chi earthquake of September 21, 1999. The results of this study were compared with those of Lin et al. and Lin associated with the Chi-Chi earthquake. Simultaneously, two CNN models that were developed were verified to be rational due to the high accuracy of their predictions. These two models were used to verify each other's accuracies and to demonstrate the reliability of the method in this study. Therefore, statistical analysis was not the aim. The final outputs of the two CNN model were defined as similarities. Similarities, which are larger than 0.5, were defined as TEC precursors of earthquakes. TEC precursors described as temporal TEC multi-precursors (TTMPs) by Zoran et al. were detectable on the 1st, 3rd, and 4th days (that is, on September 17, 18, and 20, 1999, respectively) prior to the Chi-Chi earthquake of September 21, 1999. These results are consistent with those of Liu et al. and Lin . A TEC precursor on May 13, 2003, (TST) was detectable 2 days prior to the earthquake on May 15, 2003, (TST) with the magnitude (M w ) of 5.52. The low standard deviation (STD) and mean square error (MSE) confirm the reliability of both CNN models. Regarding mechanical principles, the TTMPs related to the Chi-Chi earthquake were caused by an electric field. The cause of the TEC precursor on May 13, 2003, prior to the earthquake on May 15, 2003, was an argument without any corresponding study for comparison. INDEX TERMS Daily total electron content (TEC) images, convolutional neural network (CNN), wedge effects, Butterworth filter, temporal TEC multi-precursors (TTMPs), Chi-Chi earthquake, standard deviation (STD), mean square error (MSE).
Applied Sciences, 2020
This paper proposes a new method of image decomposition with a filtering capability. The image st... more This paper proposes a new method of image decomposition with a filtering capability. The image state ensemble decomposition (ISED) method has generative capabilities that work by removing a discrete ensemble of quanta from an image to provide a range of filters and images for a single red, green, and blue (RGB) input image. This method provides an image enhancement because ISED is a spatial domain filter that transforms or eliminates image regions that may have detrimental effects, such as noise, glare, and image artifacts, and it also improves the aesthetics of the image. ISED was used to generate 126 images from two tagged image file (TIF) images of M87 taken by the Spitzer Space Telescope. Analysis of the images used various full and no-reference quality metrics as well as histograms and color clouds. In most instances, the no-reference quality metrics of the generated images were shown to be superior to those of the two original images. Select ISED images yielded previously unkn...
Applied Sciences, 2019
This paper proposes an optimal fuzzy proportional–integral–derivative (PID) controller design bas... more This paper proposes an optimal fuzzy proportional–integral–derivative (PID) controller design based on conventional PID control and nonlinear factors. With the equivalence between fuzzy logic controllers (FLCs) and conventional PID controllers, a conventional PID controller design can be rapidly transformed into an equivalent FLC by defining the operating ranges of the input/output of the controller. The proposed nonlinear factors can further tune the nonlinearity of the membership functions (MFs) distributed in the operating ranges. In this manner, a fuzzy PID controller can be developed with less parameters and optimized by using the genetic algorithm (GA). In addition, the aforementioned equivalent FLC can act as one individual in the initial population of GA, and significantly enhances the GA efficiency. Simulation results demonstrate the feasibility of this technique. This resulted in an optimal fuzzy PID controller design with only eight parameters with a concise controller st...
Ionospheric Precursor Far from the Epicenter of the 03 August 2014 (M = 6.1) China Ludian Earthquake: Two-Dimensional Principal Component Analysis with All Principal Eigenvalues for Processing of Two-Dimensional Total Electron Content
Two-dimensional principal component analysis (2DPCA) was performed to examine ionospheric 2D tota... more Two-dimensional principal component analysis (2DPCA) was performed to examine ionospheric 2D total electron content (TEC) variations obtained from the NASA Global Differential GPS (GDGPS) network, which consisted of low spatial resolution ionospheric TEC data, to detect TEC precursors prior to the China Ludian earthquake at 08:30:13 UT on 03 August 2014 (M = 6.1). Results have shown that two TEC precursors were observed three days prior to this earthquake. The characteristics of all principal eigenvalues were considered to determine the TEC precursors of the earthquake in this study. This study aimed to differentiate the previous studies of Lin about PCA and 2DPCA using only the characteristic of the first principal eigenvalue to determine the TEC precursors of the earthquake. However, some other TEC precursors could be lost in processes that do not analyze characteristics of other principal eigenvalues. Therefore, this research can be considered as a full analysis that examined the...
Applied Sciences, 2017
This paper proposes the equivalence between fuzzy Proportional-Integral-Derivative (PID) controll... more This paper proposes the equivalence between fuzzy Proportional-Integral-Derivative (PID) controllers and conventional PID controllers. A well-designed conventional PID controller, with the help of the proposed method, can be rapidly transformed to an equivalent fuzzy logic controller (FLC) by observing and defining the operating ranges of the input/output of the controller. Furthermore, the knowledge base of the proposed equivalent fuzzy PID controller is represented as a cube fuzzy associative memory (FAM), instead of a combination of PD-type and PI-type FLCs in most research. Simulation results show the feasibility of the proposed technique, both in continuous and discrete time. Since the design techniques of conventional linear PID controllers have matured, they can act as preliminary expert knowledge for nonlinear FLCs designs. Based on the proposed equivalence relationship, the designer can further tune the membership functions of fuzzy variables in the control rules to exhibit the nonlinearity of a FLC and yield more satisfactory system responses in an efficient way.
Sensors, 2015
This paper proposes a resonant electric cradle design with infant cries recognition, employing an... more This paper proposes a resonant electric cradle design with infant cries recognition, employing an Arduino UNO as the core processor. For most commercially available electric cradles, the drive motor is closely combined with the bearing on the top, resulting in a lot of energy consumption. In this proposal, a ball bearing design was adopted and the driving force is under the cradle to increase the distance from the object to fulcrum and torque. The sensors are designed to detect the oscillation state, and then the force is driven at the critical time to achieve the maximum output response while saving energy according to the principle of resonance. As for the driving forces, the winding power and motors are carefully placed under the cradle. The sensors, including the three-axis accelerometer and infrared sensor, are tested and applied under swinging amplitude control. In addition, infant cry recognition technology was incorporated in the design to further develop its functionality, which is a rare feature in this kind of hardware. The proposed nonlinear operator of fundamental frequency ( 0 f ) analysis is able to identify different types of infant cries. In conclusion, this paper proposes an energy-saving electric cradle with infant cries recognition and the experimental results demonstrate the effectiveness of this approach.
The Scientific World Journal, 2014
This paper presents the design and evaluation of the hardware circuit for electronic stethoscopes... more This paper presents the design and evaluation of the hardware circuit for electronic stethoscopes with heart sound cancellation capabilities using field programmable gate arrays (FPGAs). The adaptive line enhancer (ALE) was adopted as the filtering methodology to reduce heart sound attributes from the breath sounds obtained via the electronic stethoscope pickup. FPGAs were utilized to implement the ALE functions in hardware to achieve near real-time breath sound processing. We believe that such an implementation is unprecedented and crucial toward a truly useful, standalone medical device in outpatient clinic settings. The implementation evaluation with one Altera cyclone II–EP2C70F89 shows that the proposed ALE used 45% resources of the chip. Experiments with the proposed prototype were made using DE2-70 emulation board with recorded body signals obtained from online medical archives. Clear suppressions were observed in our experiments from both the frequency domain and time domain...
The optimization of the application of fuzzy ant colony algorithm in soccer robot
2009 International Conference on Information and Automation, 2009
This article provides a theory which is based on the fuzzy ant colony optimization, and then uses... more This article provides a theory which is based on the fuzzy ant colony optimization, and then uses this theory to design an optical speed for the football robots, and then we also apply ant colony optimization to design its routes to avoid obstacles. Afterward, we add generalized predictive control to predict the position which its target might appear at the
Stability and robustness of time‐delay systems
Journal of the Chinese Institute of Engineers, 1993
Abstract Using some properties of matrix measures and matrix's spectral radius, a new stabili... more Abstract Using some properties of matrix measures and matrix's spectral radius, a new stability criterion for a linear time‐delay system is derived. This result is also extended to interval time‐delay systems.
2006 IEEE International Conference on Systems, Man and Cybernetics, 2006
In this paper, two methods based on Lyapunov stability theorem to study the stabilization and swi... more In this paper, two methods based on Lyapunov stability theorem to study the stabilization and switching law design for the switched discrete-time systems with state-driven switching are presented. Furthermore, these methods can be applied to cases when all individual subsystems are unstable. Finally, an example is exploited to illustrate the proposed schemes with two individual methods.
International Journal of Nonlinear Sciences and Numerical Simulation, 2010
This paper proposed the image recognition system that integrates principal component analysis (PC... more This paper proposed the image recognition system that integrates principal component analysis (PCA) and support vector machine (SVM) for intelligent robots. The integrated scheme aims to apply the SVM method to improve the validity of PCA based image recognition systems on dynamic robotic visual perception. Experimental results show that the proposed method simplifies features effectively and obtains a higher classification accuracy.
The disturbance attenuation analysis of T-S fuzzy models using composite quadratic Lyapunov functions
2010 International Symposium on Computer, Communication, Control and Automation (3CA), 2010
This paper presents a new method to construct controllers for Takagi-Sugeno fuzzy system which ar... more This paper presents a new method to construct controllers for Takagi-Sugeno fuzzy system which are based on composite quadratic Lyapunov functions. By adopting this new choice of Lyapunov function and taking into account the information of the membership function of the fuzzy variables, the disturbance attenuation problem turns into an optimizing problem which can be resolved by solving the corresponding LMIs (Linear Matrix Inequalities). It was clearly shown in our illustrative example that controllers thus designed lead to better disturbance rejection performances.
International Journal of Nonlinear Sciences and Numerical Simulation, 2010
This article provides a fuzzy controller design enhanced by incorporating the Genetic algorithm (... more This article provides a fuzzy controller design enhanced by incorporating the Genetic algorithm (GA) and Ant colony algorithm (ACA) for obstacle avoidance. The efficacy of the proposed controller is verified via simulations using FIRA five-versus-five simulation platform and MATLAB.
Application of the GA-PSO with the fuzzy controller to the robot soccer
In this paper we proposed the method of GA-PSO to adjust the rule of the fuzzy system with robot ... more In this paper we proposed the method of GA-PSO to adjust the rule of the fuzzy system with robot soccer. Though GA-PSO-based motion fuzzy controller process, the optimal velocity of a robot moving in a work space was determined. The experimental scenarios involved a five-versus-five soccer simulation and the MATLAB simulation. From the experiment, the proposed the method of GA-PSO with fuzzy controller allowed the robot soccer to read the target quickly and efficiency.
Simulation Modelling Practice and Theory, 2012
In this paper, a novel design method for determining the optimal fuzzy PID-controller parameters ... more In this paper, a novel design method for determining the optimal fuzzy PID-controller parameters of active automobile suspension system using the particle swarm optimization (PSO) reinforcement evolutionary algorithm is presented. This paper demonstrated in detail how to help the PSO with Q-learning cooperation method to search efficiently the optimal fuzzy-PID controller parameters of a suspension system. The design of a fuzzy system can be formulated as a search problem in high-dimensional space where each point represents a rule set, membership functions, and the corresponding system's behavior. In order to avoid obtaining the local optimum solution, we adopted a pure PSO global exploration method to search fuzzy-PID parameter. Later this paper explored the improved the limitation between suspension and tire deflection in active automobile suspension system with nonlinearity, which needs to be solved ride comfort and road holding ability problems, and so on. These studies presented many ideas to solve these existing problems, but they need much evolution time to obtain the solution. Motivated by above discussions this paper propose a novel algorithm which can decrease the number of evolution generation, and can also evolve the fuzzy system for obtaining a better performance.
Application of a hybrid controller to a mobile robot
Simulation Modelling Practice and Theory, 2008
This paper presents the application of a hybrid controller to the optimization of the move- ment ... more This paper presents the application of a hybrid controller to the optimization of the move- ment of a mobile robot. Through hybrid controller processes, the optimal angle and veloc- ity of a robot moving in a work space was determined. More effective movement resulted from these hybrid controller processes. The experimental scenarios involved a five-versus- five soccer game and a
A non-linear control design for the discrete-time multi-input bilinear systems
Mechatronics, 1991
ABSTRACT
Mathematical Problems in Engineering, 2014
This paper incorporates principal component analysis (PCA) with support vector machine-particle s... more This paper incorporates principal component analysis (PCA) with support vector machine-particle swarm optimization (SVM-PSO) for developing real-time face recognition systems. The integrated scheme aims to adopt the SVM-PSO method to improve the validity of PCA based image recognition systems on dynamically visual perception. The face recognition for most human-robot interaction applications is accomplished by PCA based method because of its dimensionality reduction. However, PCA based systems are only suitable for processing the faces with the same face expressions and/or under the same view directions. Since the facial feature selection process can be considered as a problem of global combinatorial optimization in machine learning, the SVM-PSO is usually used as an optimal classifier of the system. In this paper, the PSO is used to implement a feature selection, and the SVMs serve as fitness functions of the PSO for classification problems. Experimental results demonstrate that th...
Mathematical Problems in Engineering, 2013
Some new criteria of delay independent stability for the switched interval time-delay systems are... more Some new criteria of delay independent stability for the switched interval time-delay systems are deduced. The switching structure does depend on time-driven switching strategies. The total activation time ratio of the switching law can be determined to guarantee that the switched interval time-delay system is exponentially stable.
On delay-dependent stabilization analysis for the switched time-delay systems with the state-driven switching strategy
Journal of the Franklin Institute, 2011
For the switched time-delay systems, the delay-dependent stability criteria will be derived under... more For the switched time-delay systems, the delay-dependent stability criteria will be derived under a state-driven switching law. A linear state transformation was introduced to transfer the switched time-delay system. On delay dependent stabilization analysis, we apply the Lyapunov–Krasovskii functionals to analyze the stabilization of the switched time-delay systems. This method can be applied to cases when all individual switched systems
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Papers by Juing-Shian Chiou