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Te-Jen Su
Graduate Institute of Clinical Medicine, Kaohsiung Medical University, Kaohsiung 807, Taiwan

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Journal article
Published: 24 April 2021 in Sustainability
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This study incorporated technology action puzzle and obstacle challenge activities in the course design. Using the 921 Earthquake in Taiwan as the theme, this study integrated the content of various subjects and course modules and applied information technology to present the humanistic care elements. The subjects of this study were Grade 9 students of a public middle school in central Taiwan. After the interactive operation introduction and theme film viewing, the students were divided into groups to participate in the technology action puzzle and obstacle challenge activities. Students’ learning performance using smart technological tools and overall course feedback were evaluated from the aspects of building structure safety knowledge, disaster prevention and mitigation, integrated interdisciplinary thinking, and problem-solving abilities through the course planning and quasi-experimental design. The results show that (1) in terms of the learning achievement scale, the pre-test and post-test of paired samples reached statistical significance; (2) in terms of the learning response scale, the mean of the Likert five-point scale reached above 4.0; (3) the results of mediating regression analysis show that, compared with the traditional classroom teaching mode, the interactive teaching experience and technology action puzzle have a mediating effect on learning performance and overall course feedback.

ACS Style

Wen-Jye Shyr; I-Min Chen; Jing-Chuan Lee; Te-Jen Su. Applying Interactive Teaching Experience and Technology Action Puzzles in Disaster Prevention Education. Sustainability 2021, 13, 4788 .

AMA Style

Wen-Jye Shyr, I-Min Chen, Jing-Chuan Lee, Te-Jen Su. Applying Interactive Teaching Experience and Technology Action Puzzles in Disaster Prevention Education. Sustainability. 2021; 13 (9):4788.

Chicago/Turabian Style

Wen-Jye Shyr; I-Min Chen; Jing-Chuan Lee; Te-Jen Su. 2021. "Applying Interactive Teaching Experience and Technology Action Puzzles in Disaster Prevention Education." Sustainability 13, no. 9: 4788.

Journal article
Published: 28 March 2020 in Applied Sciences
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This paper presents the design of a linear quadratic analog tracker (LQAT) based on the observer–Kalman-filter identification (OKID) method and the design of a modified functional observer-based equivalent input disturbance (EID) estimator for unknown square–non-square singular analog systems with unknown input and output disturbances. First, an equivalent mathematical model of the singular analog system is presented to simulate the time response of continuous-time linear singular analog systems to arbitrary inputs via the model conversion method. Then, for the unknown singular analog system, it constructs a linear quadratic analog tracker with state feedback and feed-forward gains based on the off-line OKID method. Furthermore, it extends the design methodology of the EID estimator for strictly proper regular systems with unknown matched–mismatched input and output disturbances to proper regular systems. It is important to mention that the newly developed modified functional observer for proper systems is used to estimate the unknown EID of singular analog systems and that the constraints on the dimensions of unknown disturbances can be eliminated by using the newly proposed EID estimation method. The contributions of this paper can be listed as follows: (1) based on both the OKID method and the discrete-to-continuous model conversion, the simulation of the time responses of the continuous-time linear singular models (which are not feasible using existing MATLAB toolboxes) become feasible; (2) for effective control of the unknown singular analog system, an off-line OKID method is proposed to design an LQAT with state feedback and feed-forward gains; and (3) based on the newly developed modified functional observer for the reduced-order proper regular system, the original EID estimator in the literature is newly extended to estimate the EID from the unknown strictly proper singular analog system, without the original dimensional constraints of the disturbances. It is important to mention that the disturbances of interest can be unknown matched–mismatched input and output disturbances.

ACS Style

Jason Sheng-Hong Tsai; Yang-Fang Chen; Te-Jen Su; Chia-Yuan Chang; Shu-Mei Guo; Leang-San Shieh; Jose I. Canelon. A Modified Functional Observer-Based EID Estimator for Unknown Continuous-Time Singular Systems. Applied Sciences 2020, 10, 2316 .

AMA Style

Jason Sheng-Hong Tsai, Yang-Fang Chen, Te-Jen Su, Chia-Yuan Chang, Shu-Mei Guo, Leang-San Shieh, Jose I. Canelon. A Modified Functional Observer-Based EID Estimator for Unknown Continuous-Time Singular Systems. Applied Sciences. 2020; 10 (7):2316.

Chicago/Turabian Style

Jason Sheng-Hong Tsai; Yang-Fang Chen; Te-Jen Su; Chia-Yuan Chang; Shu-Mei Guo; Leang-San Shieh; Jose I. Canelon. 2020. "A Modified Functional Observer-Based EID Estimator for Unknown Continuous-Time Singular Systems." Applied Sciences 10, no. 7: 2316.

Articles
Published: 14 October 2019 in International Journal of Systems Science
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The existing off-line observer/controller identification (OCID) method for linear systems is newly extended in this paper for off-line/on-line identification of known/unknown highly nonlinear systems, and a new input-constrained active fault-tolerant tracker is developed, based on the identified linear models. The advantages of the proposed extended on-line OCID method for linear/nonlinear systems are briefly described as follows: (i) Implement novel servo-control-oriented off-line OCID methods in observer and controller canonical forms for highly nonlinear systems; (ii) Is able to overcome the discontinuity induced by the singular value decomposition (SVD) that should be carried out at each sampling instant; (iii) It directly realises the identified parameters in the observer/controller canonical forms; this simplifies the identification process; (iv) Can be practically implemented for the on-line control of an unknown nonlinear system which was constituted by an unknown open-loop plant, an existing but unknown controller and/or an unknown observer; and (v) Can be utilised to develop a new active fault-tolerant controller to compensate the immovable existing controller of the practical operating system. Finally, the servo-control-oriented off-line OCID method for the highly nonlinear PUMA 560 manipulator is shown in the illustrative examples to demonstrate the superiority of the proposed method.

ACS Style

Jason Sheng-Hong Tsai; Tzu-Hsien Yu; Te Jen Su; Shu-Mei Guo; Leang-San Shieh; Jose I. Canelon. A novel on-line OCID method and its application to input-constrained active fault-tolerant tracker design for unknown nonlinear systems. International Journal of Systems Science 2019, 50, 2632 -2662.

AMA Style

Jason Sheng-Hong Tsai, Tzu-Hsien Yu, Te Jen Su, Shu-Mei Guo, Leang-San Shieh, Jose I. Canelon. A novel on-line OCID method and its application to input-constrained active fault-tolerant tracker design for unknown nonlinear systems. International Journal of Systems Science. 2019; 50 (14):2632-2662.

Chicago/Turabian Style

Jason Sheng-Hong Tsai; Tzu-Hsien Yu; Te Jen Su; Shu-Mei Guo; Leang-San Shieh; Jose I. Canelon. 2019. "A novel on-line OCID method and its application to input-constrained active fault-tolerant tracker design for unknown nonlinear systems." International Journal of Systems Science 50, no. 14: 2632-2662.

Journal article
Published: 06 September 2019 in Applied Sciences
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Advances in medical care has reduced the rate of mortality from strokes, but the incidence of stroke has remained stable while the incidence of ministrokes has increased. Most stroke victims require long-term care, imposing a heavy financial and emotional burden on families while incurring a heavy cost to society. Thus, strokes are a key issue in the context of health care in Taiwan. This paper proposes using VBA (Visual Basic for Applications) to build a system for assessing Brunnstrom stages based on the observation of several obvious rehabilitation features The system calculates features for accelerometer readings, which are then used as input parameters for a fuzzy algorithm to obtain the Brunnstrom action level. Experimental results show the proposed approach effectively assesses Brunnstrom level, and that the approach can be used to assist physical therapists in performing longitudinal assessments of stroke victim progress, thus improving evaluation efficiency.

ACS Style

Te-Jen Su; Kun-Liang Lo; Jason Sheng-Hong Tsai; Wen-An Yeh; Cho- Feng Kuo. A Brunnstrom Stage Evaluation System with Fuzzy-Accelerometer. Applied Sciences 2019, 9, 3718 .

AMA Style

Te-Jen Su, Kun-Liang Lo, Jason Sheng-Hong Tsai, Wen-An Yeh, Cho- Feng Kuo. A Brunnstrom Stage Evaluation System with Fuzzy-Accelerometer. Applied Sciences. 2019; 9 (18):3718.

Chicago/Turabian Style

Te-Jen Su; Kun-Liang Lo; Jason Sheng-Hong Tsai; Wen-An Yeh; Cho- Feng Kuo. 2019. "A Brunnstrom Stage Evaluation System with Fuzzy-Accelerometer." Applied Sciences 9, no. 18: 3718.

Journal article
Published: 05 July 2019 in International Journal of Environmental Research and Public Health
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Cardiorespiratory endurance refers to the ability of the heart and lungs to deliver oxygen to working muscles during continuous physical activity, which is an important indicator of physical health. Cardiorespiratory endurance is typically measured in the laboratory by maximum oxygen uptake (VO2max) which is not a practical method for real-life use. Given the relative difficulty in measuring oxygen consumption directly, we can estimate cardiorespiratory endurance on the basis of heart beat. In this paper, we proposed a fuzzy system based on the human heart rate to provide an effective cardiorespiratory endurance training program and the evaluation of cardiorespiratory endurance levels. Trainers can respond correctly with the help of a smart fitness app to obtain the desired training results and prevent undesirable events such as under-training or over-training. The fuzzy algorithm, which is built for the Android mobile phone operating system receives the resting heart rate (RHR) of the participants via Bluetooth before exercise to determine the suitable training speed mode of a treadmill for the individual. The computer-based fuzzy program takes RHR and heart rate recovery (HRR) after exercise as inputs to calculate the cardiorespiratory endurance level. The experimental results show that after 8 weeks of exercise training, the RHR decreased by an average of 11%, the HRR increased by 51.5%, and the cardiorespiratory endurance evaluation level was also improved. The proposed system can be combined with other methods for fitness instructors to design a training program that is more suitable for individuals.

ACS Style

Jui-Chuan Cheng; Chao-Yuan Chiu; Te-Jen Su. Training and Evaluation of Human Cardiorespiratory Endurance Based on a Fuzzy Algorithm. International Journal of Environmental Research and Public Health 2019, 16, 2390 .

AMA Style

Jui-Chuan Cheng, Chao-Yuan Chiu, Te-Jen Su. Training and Evaluation of Human Cardiorespiratory Endurance Based on a Fuzzy Algorithm. International Journal of Environmental Research and Public Health. 2019; 16 (13):2390.

Chicago/Turabian Style

Jui-Chuan Cheng; Chao-Yuan Chiu; Te-Jen Su. 2019. "Training and Evaluation of Human Cardiorespiratory Endurance Based on a Fuzzy Algorithm." International Journal of Environmental Research and Public Health 16, no. 13: 2390.

Technical paper
Published: 17 May 2019 in Microsystem Technologies
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The high-power ultrasonic cleaning system is used in the manufacturing of clean product contaminants. The pulse density modulation (PDM) switching strategy is more efficient for cleaning the rough surface of equipment. This paper proposes a novel pulse density modulation duty cycle stepping (PDMDCS) method that incorporates a proportional–integral–derivative controller and fuzzy logic for the mechanical resonance frequency tracking and PDM duty cycle stepping for ultrasonic cleaning system power control. The experimental results show that based on the same hardware architecture, the proposed PDMDCS method increases the power control range and resolution of power control without adding more hardware that compares to mechanical resonance frequency control method.

ACS Style

Te-Jen Su; Kun-Liang Lo; Chia-Lin Chung; Jason Sheng-Hong Tsai; Jui-Chuan Cheng. Design of power control for ultrasonic cleaning systems based on hybrid PID/fuzzy methodology. Microsystem Technologies 2019, 27, 1655 -1663.

AMA Style

Te-Jen Su, Kun-Liang Lo, Chia-Lin Chung, Jason Sheng-Hong Tsai, Jui-Chuan Cheng. Design of power control for ultrasonic cleaning systems based on hybrid PID/fuzzy methodology. Microsystem Technologies. 2019; 27 (4):1655-1663.

Chicago/Turabian Style

Te-Jen Su; Kun-Liang Lo; Chia-Lin Chung; Jason Sheng-Hong Tsai; Jui-Chuan Cheng. 2019. "Design of power control for ultrasonic cleaning systems based on hybrid PID/fuzzy methodology." Microsystem Technologies 27, no. 4: 1655-1663.

Journal article
Published: 28 October 2018 in Microelectronics Reliability
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The wafer dicing saw is a critical process of the semiconductor IC assembly manufacturing, where chipping and cracking can damage internal circuits and result in device failure. This article applies back propagation neural networks to learn and analyze data transmitted from the machine sensors for predictive purposes. Experimental results show that neural network processing provides prediction accuracy of 75%. The results can be monitored during real-time machine operation. If predictive values exceed a certain specification, an alarm can be triggered to prevent product loss, thus increasing production efficiency.

ACS Style

Te-Jen Su; Yi-Feng Chen; Jui-Chuan Cheng; Chien-Liang Chiu. An artificial neural network approach for wafer dicing saw quality prediction. Microelectronics Reliability 2018, 91, 257 -261.

AMA Style

Te-Jen Su, Yi-Feng Chen, Jui-Chuan Cheng, Chien-Liang Chiu. An artificial neural network approach for wafer dicing saw quality prediction. Microelectronics Reliability. 2018; 91 ():257-261.

Chicago/Turabian Style

Te-Jen Su; Yi-Feng Chen; Jui-Chuan Cheng; Chien-Liang Chiu. 2018. "An artificial neural network approach for wafer dicing saw quality prediction." Microelectronics Reliability 91, no. : 257-261.

Original articles
Published: 06 March 2018 in International Journal of Systems Science
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This paper presents three observer/Kalman filter identification (OKID) approaches and develops a robust observer-based optimal linear quadratic digital tracker (LQDT) for the five-degree-of-freedom (five-DOF) sampled-data active magnetic bearing (AMB) system with various disturbances. The more detailed objectives are: (i) to construct both an equivalent linear time-invariant discrete-time model and its state estimator via the proposed OKID approaches for the AMB system, which might be an unknown nonlinear time-varying unstable system with both a specified rotation speed and a sampling rate; (ii) to provide an adaptive disturbance estimation scheme, which establishes an equivalent input disturbance (EID) estimator for the AMB system with unexpected disturbances; and (iii) to develop a robust observer-based optimal LQDT for the sampled-data AMB system with both a pre-specified time-varying speed and unexpected disturbances. The developed LQDT is able to recover the displacement of the rotor to the pre-specified trajectory position whenever it deviates from such trajectory.

ACS Style

Jason Sheng Hong Tsai; Te Jen Su; Jui-Chuan Cheng; Yun-You Lin; Van-Nam Giap; Shu Mei Guo; Leang San Shieh. Robust observer-based optimal linear quadratic tracker for five-degree-of-freedom sampled-data active magnetic bearing system. International Journal of Systems Science 2018, 49, 1273 -1299.

AMA Style

Jason Sheng Hong Tsai, Te Jen Su, Jui-Chuan Cheng, Yun-You Lin, Van-Nam Giap, Shu Mei Guo, Leang San Shieh. Robust observer-based optimal linear quadratic tracker for five-degree-of-freedom sampled-data active magnetic bearing system. International Journal of Systems Science. 2018; 49 (6):1273-1299.

Chicago/Turabian Style

Jason Sheng Hong Tsai; Te Jen Su; Jui-Chuan Cheng; Yun-You Lin; Van-Nam Giap; Shu Mei Guo; Leang San Shieh. 2018. "Robust observer-based optimal linear quadratic tracker for five-degree-of-freedom sampled-data active magnetic bearing system." International Journal of Systems Science 49, no. 6: 1273-1299.

Technical paper
Published: 21 September 2017 in Microsystem Technologies
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Wafer surface dicing chipping can expand to impact chip circuits, which may cause serious defects during the IC assembly process, potentially resulting in IC circuit function failure. Throughout the semiconductor wafer process, the street design of wafer dicing is gradually narrowed, that raising the importance of controlling chipping performance. To obtain the key factor of dicing parameters, this paper studies and evaluates the dicing of a wafer with a street width of 60 µm and thickness of 200 µm using mechanical dicing saw and diamond dicing blade. In this design of experiment, experimental data were analyzed using analysis of variance to obtain key parameters for surface chipping. The results show that high cutting spindle speed of 50,000 rpm with shallow cutting depth of 50 µm provides better surface chipping performance, and improves chipping of abnormal base with a blade dicing saw.

ACS Style

Te-Jen Su; Yi-Feng Chen; Jui-Chuan Cheng; Chien-Liang Chiu. Optimizing the dicing saw parameters of 60 μm wafer dicing street. Microsystem Technologies 2017, 24, 3965 -3971.

AMA Style

Te-Jen Su, Yi-Feng Chen, Jui-Chuan Cheng, Chien-Liang Chiu. Optimizing the dicing saw parameters of 60 μm wafer dicing street. Microsystem Technologies. 2017; 24 (10):3965-3971.

Chicago/Turabian Style

Te-Jen Su; Yi-Feng Chen; Jui-Chuan Cheng; Chien-Liang Chiu. 2017. "Optimizing the dicing saw parameters of 60 μm wafer dicing street." Microsystem Technologies 24, no. 10: 3965-3971.

Conference paper
Published: 01 May 2017 in 2017 International Conference on Applied System Innovation (ICASI)
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At present, most of the automobile engine temperature warning system are using the indicator light and sound alert to remind the drivers when the engine overheat happens, and there is no sufficient data to provide the drivers for further advices or solutions and without a database to record, that would increase the tension to cause the error operation of the drivers.

ACS Style

Jui-Chuan Cheng; Te-Jen Su; Yu-Ming Cao; Chien-Yuan Pan. The temperature prediction system of automobile engine based on Fuzzy Algorithm. 2017 International Conference on Applied System Innovation (ICASI) 2017, 1201 -1204.

AMA Style

Jui-Chuan Cheng, Te-Jen Su, Yu-Ming Cao, Chien-Yuan Pan. The temperature prediction system of automobile engine based on Fuzzy Algorithm. 2017 International Conference on Applied System Innovation (ICASI). 2017; ():1201-1204.

Chicago/Turabian Style

Jui-Chuan Cheng; Te-Jen Su; Yu-Ming Cao; Chien-Yuan Pan. 2017. "The temperature prediction system of automobile engine based on Fuzzy Algorithm." 2017 International Conference on Applied System Innovation (ICASI) , no. : 1201-1204.

Conference paper
Published: 01 May 2017 in 2017 International Conference on Applied System Innovation (ICASI)
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Muscle fatigue is one of the main factors that influencing the sports performance and resulting in injuries. In this paper, the fatigue analysis for early warning system based on fuzzy algorithm is developed. The system does not need to construct complex mathematical functions, based on the participants' surface Electromyography (sEMG), heartbeat rate and exercise time after exercise to calculate fatigue level and displays the results in the smartphone to remind exercisers whether to stop or continue. The experimental results show that, when the exercisers have reached the fatigue warning level, the proposed system can alert and display the fatigue status and make expert recommendations, thus reduce the incidence of exercise-induced injuries.

ACS Style

Jui-Chuan Cheng; Te-Jen Su; Hong-Yan Lin; Chun-Wang Wei. The fatigue analysis for early warning system based on fuzzy algorithm. 2017 International Conference on Applied System Innovation (ICASI) 2017, 1661 -1664.

AMA Style

Jui-Chuan Cheng, Te-Jen Su, Hong-Yan Lin, Chun-Wang Wei. The fatigue analysis for early warning system based on fuzzy algorithm. 2017 International Conference on Applied System Innovation (ICASI). 2017; ():1661-1664.

Chicago/Turabian Style

Jui-Chuan Cheng; Te-Jen Su; Hong-Yan Lin; Chun-Wang Wei. 2017. "The fatigue analysis for early warning system based on fuzzy algorithm." 2017 International Conference on Applied System Innovation (ICASI) , no. : 1661-1664.

Journal article
Published: 01 January 2017 in Journal of Advanced Management Science
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ACS Style

Te-Jen Su; Shih-Mine Wang; Yi-Feng Chen; Tung-Yeh Tsou; Jui-Chuan Cheng. Investigating the Usability of Electronic Document Management Systems in Government Organizations from a Human Factor Engineering Perspective. Journal of Advanced Management Science 2017, 5, 14 -17.

AMA Style

Te-Jen Su, Shih-Mine Wang, Yi-Feng Chen, Tung-Yeh Tsou, Jui-Chuan Cheng. Investigating the Usability of Electronic Document Management Systems in Government Organizations from a Human Factor Engineering Perspective. Journal of Advanced Management Science. 2017; 5 (1):14-17.

Chicago/Turabian Style

Te-Jen Su; Shih-Mine Wang; Yi-Feng Chen; Tung-Yeh Tsou; Jui-Chuan Cheng. 2017. "Investigating the Usability of Electronic Document Management Systems in Government Organizations from a Human Factor Engineering Perspective." Journal of Advanced Management Science 5, no. 1: 14-17.

Conference paper
Published: 01 November 2016 in 2016 International Conference on Advanced Materials for Science and Engineering (ICAMSE)
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This study utilizes the open source testing tool, Hping3, and the network analysis tool, Scapy, to simulate DDoS flood, reflection, and amplification attacks. We used the data generated from the attacks with the Splunk platform to conduct data analysis to quickly identify attacks and predict potential dangers that could arise. The analysis results were used in tests conducted on real network environments to determine the types of DDoS attacks. Visual IP mapping was then used to determine actions that could be taken.

ACS Style

Te-Jen Su; Shih-Ming Wang; Yi-Feng Chen; Chao-Liang Liu. Attack detection of distributed denial of service based on Splunk. 2016 International Conference on Advanced Materials for Science and Engineering (ICAMSE) 2016, 397 -400.

AMA Style

Te-Jen Su, Shih-Ming Wang, Yi-Feng Chen, Chao-Liang Liu. Attack detection of distributed denial of service based on Splunk. 2016 International Conference on Advanced Materials for Science and Engineering (ICAMSE). 2016; ():397-400.

Chicago/Turabian Style

Te-Jen Su; Shih-Ming Wang; Yi-Feng Chen; Chao-Liang Liu. 2016. "Attack detection of distributed denial of service based on Splunk." 2016 International Conference on Advanced Materials for Science and Engineering (ICAMSE) , no. : 397-400.

Technical paper
Published: 01 October 2016 in Microsystem Technologies
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The integration of logic function is enabling TIJ-based products to move ever further up-market. The depicted integrated circuit TIJ transducer array serves 1024 jets and includes data interfacing, jet addressing, drop generation power pulsing, and bidirectional operation. Experimental design and a new printhead multiplexed data registration system is demonstrated in the article. It is a simulation framework includes a microfluidic flow path. The controller can be easily adapted to different sizes of the ejection element without much hardware arrangement. The experimental results show that the proposed multiplexer controller can be suppressed due to the excitation of an adjacent channel noise.

ACS Style

Jian-Chiun Liou; Te-Jen Su; Wen-Chieh Lin; Wei-Jie Wen. A novel printhead multiplexer data registration chip system with injection cavity design. Microsystem Technologies 2016, 24, 27 -32.

AMA Style

Jian-Chiun Liou, Te-Jen Su, Wen-Chieh Lin, Wei-Jie Wen. A novel printhead multiplexer data registration chip system with injection cavity design. Microsystem Technologies. 2016; 24 (1):27-32.

Chicago/Turabian Style

Jian-Chiun Liou; Te-Jen Su; Wen-Chieh Lin; Wei-Jie Wen. 2016. "A novel printhead multiplexer data registration chip system with injection cavity design." Microsystem Technologies 24, no. 1: 27-32.

Conference paper
Published: 01 May 2016 in 2016 International Conference on Applied System Innovation (ICASI)
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Swarm Algorithms (SA) such as particle swarm optimization (PSO), ant colony system, cuckoo search, etc. have been investigated and applied to optimize a lot of technical problems. The gradient of objective functions is no longer required for the implementation of SA, which is one of the strong advantages of SA. This paper proposes using EA, particularly PSO for solving the approximation problems that can be found in many technical aspects. The model employed for approximation is Tagaki-Sugeno-Kang fuzzy inference system (FIS). The combination of PSO and FIS is discussed. PSO algorithm optimizes the parameters of TSK fuzzy inference system. During implementing the PSO algorithm, a modification in updated particle's positions is made to meet the requirements of approximation. The numerical simulations show the efficiency of the proposed approach.

ACS Style

Te-Jen Su; Yi-Feng Chen; Hong-Quan Vu; Thanh-Hong Nguyen; Fang-Tsung Liu. A hybrid swarm algorithm for nonlinear function approximation. 2016 International Conference on Applied System Innovation (ICASI) 2016, 1 -4.

AMA Style

Te-Jen Su, Yi-Feng Chen, Hong-Quan Vu, Thanh-Hong Nguyen, Fang-Tsung Liu. A hybrid swarm algorithm for nonlinear function approximation. 2016 International Conference on Applied System Innovation (ICASI). 2016; ():1-4.

Chicago/Turabian Style

Te-Jen Su; Yi-Feng Chen; Hong-Quan Vu; Thanh-Hong Nguyen; Fang-Tsung Liu. 2016. "A hybrid swarm algorithm for nonlinear function approximation." 2016 International Conference on Applied System Innovation (ICASI) , no. : 1-4.

Conference paper
Published: 01 May 2016 in 2016 International Conference on Applied System Innovation (ICASI)
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To improve the cooling efficiency of personal computers, many cooling methods are developed, such as the manual mode, speed cruise mode, thermal cruise mode and multi-point fan control mode, and so on. But it is difficult to achieve a mathematical model of the fan motor, so that it is unable to timely control the fan speed, resulting in poor thermal performance. In this paper, we propose an adaptive neuro-fuzzy inference system (ANFIS) approach to a PC cooling system for reducing the time of searching the optimum speed of the cooling fan. ANFIS combines both fuzzy inference system and neural network, so it can be applied to uncertainty system fully. Even more, it has self-study and ability of the organization at the same time. The experiment results show that in fan speed control comparative analysis, the fan speed of the proposed ANFIS can be reduced an average of 7.67% that compares with other cooling methods.

ACS Style

Jui-Chuan Cheng; Te-Jen Su; Chong-Guang Chen; Chien-Yuan Pan. A personal computer cooling system based on adaptive neuro-fuzzy inference systems. 2016 International Conference on Applied System Innovation (ICASI) 2016, 1 -4.

AMA Style

Jui-Chuan Cheng, Te-Jen Su, Chong-Guang Chen, Chien-Yuan Pan. A personal computer cooling system based on adaptive neuro-fuzzy inference systems. 2016 International Conference on Applied System Innovation (ICASI). 2016; ():1-4.

Chicago/Turabian Style

Jui-Chuan Cheng; Te-Jen Su; Chong-Guang Chen; Chien-Yuan Pan. 2016. "A personal computer cooling system based on adaptive neuro-fuzzy inference systems." 2016 International Conference on Applied System Innovation (ICASI) , no. : 1-4.

Conference paper
Published: 01 September 2015 in 2015 International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP)
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The speech signals in the transmission are often accompanied with a lot of unnecessary disturbing noise. Usually, sound-absorbing cotton or directional microphones are applied on the hardware to suppress the background noise that caused by the unwanted signals, such as sound of wind and human voice. In addition, the channel effects are generated among various voice-processing systems when voice signals are transferred. This paper takes advantages of the Radial Basis Function Networks (RBFN), in which the noise signals can be figured simply in time period without the transfer through frequency domain, by matching the features of the sources of speech signals within the samples speech frame, the authentic speech signals can be restored. The simulation results show that the propose RBFN method works well to reduce the noise signals and provides the same quality as the original speech signals under Additive White Gaussian Noise (AWGN).

ACS Style

Jui-Chuan Cheng; Te-Jen Su; Tsung-Ying Li; Chia-Hua Wu. The Noise Reduction of Speech Signals Based on RBFN. 2015 International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP) 2015, 449 -452.

AMA Style

Jui-Chuan Cheng, Te-Jen Su, Tsung-Ying Li, Chia-Hua Wu. The Noise Reduction of Speech Signals Based on RBFN. 2015 International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP). 2015; ():449-452.

Chicago/Turabian Style

Jui-Chuan Cheng; Te-Jen Su; Tsung-Ying Li; Chia-Hua Wu. 2015. "The Noise Reduction of Speech Signals Based on RBFN." 2015 International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP) , no. : 449-452.

Journal article
Published: 01 January 2015 in International Journal of Modeling and Optimization
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ACS Style

Te Jen Su; Yi-Feng Chen; Jui-Chuan Cheng; Shih-Mine Wang; Tung-Yen Tsou. Improvement of Wafer Saw Film Burr Issues. International Journal of Modeling and Optimization 2015, 5, 345 -348.

AMA Style

Te Jen Su, Yi-Feng Chen, Jui-Chuan Cheng, Shih-Mine Wang, Tung-Yen Tsou. Improvement of Wafer Saw Film Burr Issues. International Journal of Modeling and Optimization. 2015; 5 (5):345-348.

Chicago/Turabian Style

Te Jen Su; Yi-Feng Chen; Jui-Chuan Cheng; Shih-Mine Wang; Tung-Yen Tsou. 2015. "Improvement of Wafer Saw Film Burr Issues." International Journal of Modeling and Optimization 5, no. 5: 345-348.

Conference paper
Published: 01 April 2014 in 2014 International Conference on Information Science, Electronics and Electrical Engineering
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In this paper, a satellite antenna controller bases on fuzzy theory is proposed. The high accuracy of satellite antenna controller plays an important role in the tracking system, but the dynamic characteristic of satellite antenna controller is nonlinear, and the noise in the external environment may affect the system. The fuzzy controller has high robustness, and there is no need for the well analysis to the mathematic model of the controller. Therefore, a fuzzy theory is employed to investigate the satellite antenna controller design herein. The antenna controller receives the feedback signals from resolvers and converts the feedback signals to point coordinates, antenna actual angles and rotation angles, and then displays the system information on a human machine interface. Finally, the experimental results proves the proposed satellite antenna controller with fuzzy theory is effective by performing the tracking of FORMOSAT-2 satellite.

ACS Style

Te-Jen Su; Hao-Wei Hung; Jui-Chuan Cheng; Chia-Hung Lu; Cheng-Hung Hung. Fuzzy theory application to the satellite antenna controller. 2014 International Conference on Information Science, Electronics and Electrical Engineering 2014, 2, 690 -693.

AMA Style

Te-Jen Su, Hao-Wei Hung, Jui-Chuan Cheng, Chia-Hung Lu, Cheng-Hung Hung. Fuzzy theory application to the satellite antenna controller. 2014 International Conference on Information Science, Electronics and Electrical Engineering. 2014; 2 ():690-693.

Chicago/Turabian Style

Te-Jen Su; Hao-Wei Hung; Jui-Chuan Cheng; Chia-Hung Lu; Cheng-Hung Hung. 2014. "Fuzzy theory application to the satellite antenna controller." 2014 International Conference on Information Science, Electronics and Electrical Engineering 2, no. : 690-693.

Journal article
Published: 01 December 2011 in Advanced Materials Research
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This paper presents a color image noise removal technique that employs a cellular neural network (CNN) based on hybrid linear matrix inequality (LMI) and particle swarm optimization (PSO). For designing templates of CNN, the Lyapunov stability theorem is applied to derive the criterion for the uniqueness and global asymptotic stability of the CNN’s equilibrium point. The template design is characterized as a standard LMI problem, and the parameters of templates are optimized by PSO. The input templates are obtained by employing the CNN’s property of saturation nonlinearity, which can be used to eliminate noise from arbitrary corrupted images. The demonstrated examples are compared favorably with other available methods, which illustrate the better performance of the proposed LMI-PSO-CNN methodology.

ACS Style

Te Jen Su; Jui Chuan Cheng; Yu Jen Lin. Cellular Neural Network Based on Hybrid Linear Matrix Inequality and Particle Swarm Optimization for Noise Removal of Color Image. Advanced Materials Research 2011, 422, 771 -774.

AMA Style

Te Jen Su, Jui Chuan Cheng, Yu Jen Lin. Cellular Neural Network Based on Hybrid Linear Matrix Inequality and Particle Swarm Optimization for Noise Removal of Color Image. Advanced Materials Research. 2011; 422 ():771-774.

Chicago/Turabian Style

Te Jen Su; Jui Chuan Cheng; Yu Jen Lin. 2011. "Cellular Neural Network Based on Hybrid Linear Matrix Inequality and Particle Swarm Optimization for Noise Removal of Color Image." Advanced Materials Research 422, no. : 771-774.