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Study of a Dual-sided Multiple Fans System with a Piezoelectric Actuator

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Journal of Thermal Science 2015年第5期24卷 432-441页

作者： hsiao-Kang Ma Yi-Tseng Li Ching-Po Lin Department of Mechanical Engineering Taiwan University

A dual-sided multiple fans system with a piezoelectric actuator （＂D-MFPA＂）, which is able to drive eight passive vibrating fans and provide two-directional air flows by using only one piezoelectric actuator, has been investigated in this study. Moreover, two types of the fan designs, viz. magnetic fan （MF） and composite magnetic fan （CMF） were also explored. In the investigation of the MF, the results indicated that the resonance frequency of the D-MFPA increased from 27.6 Hz to 66 Hz as the length of the carbon fiber plate （L） decreased from 55 mm to 35 mm. It also decreased the amplitude of the D-MFPA from 12.4mm to 4.8 mm. For CMF, the results showed that the resonance frequency decreased when the length of the Mylar plate （Et） increased, and the maximum decrease was from 66 Hz to 45 Hz when L= 35 mm and Er= 30 mm. Dimensionless heat convection number （MD_MFPA） was defined to describe and quantify the improvement in the thermal performance. The results showed that the optimal MO-MFPA of the single piezoelectric fan was 1,58 for cooling one heat source. By contrast, under the same power consumption, the D-MFPA not only cooled two heat sources but also displayed better thermal performance.

关键词： D-MFPA resonance frequency composite magnetic fan thermal performance

Speech Recognition via CTC-CNN Model

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Computers, Materials & Continua 2023年第9期76卷 3833-3858页

作者： Wen-Tsai Sung Hao-WeiKang Sung-Jung hsiao Department of Electrical Engineering National Chin-Yi University of TechnologyTaichung411030Taiwan Department of Information Technology Takming University of Science and TechnologyTaipei11451Taiwan

In the speech recognition system,the acoustic model is an important underlying model,and its accuracy directly affects the performance of the entire *** paper introduces the construction and training process of the acoustic model in detail and studies the Connectionist temporal classification(CTC)algorithm,which plays an important role in the end-to-end framework,established a convolutional neural network(CNN)combined with an acoustic model of Connectionist temporal classification to improve the accuracy of speech *** study uses a sound sensor,ReSpeakerMic Array v2.0.1,to convert the collected speech signals into text or corresponding speech signals to improve communication and reduce noise and hardware *** baseline acousticmodel in this study faces challenges such as long training time,high error rate,and a certain degree of *** model is trained through continuous design and improvement of the relevant parameters of the acousticmodel,and finally the performance is selected according to the evaluation ***,which reduces the error rate to about 18%,thus improving the accuracy ***,comparative verificationwas carried out from the selection of acoustic feature parameters,the selection of modeling units,and the speaker’s speech rate,which further verified the excellent performance of the CTCCNN_5+BN+Residual model *** terms of experiments,to train and verify the CTC-CNN baseline acoustic model,this study uses THCHS-30 and ST-CMDS speech data sets as training data sets,and after 54 epochs of training,the word error rate of the acoustic model training set is 31%,the word error rate of the test set is stable at about 43%.This experiment also considers the surrounding environmental *** the noise level of 80∼90 dB,the accuracy rate is 88.18%,which is the worst performance among all *** contrast,at 40–60 dB,the accuracy was as high as 97.33%due to less noise pollution.

关键词： Artificial intelligence speech recognition speech to text convolutional neural network automatic speech recognition

Creating Smart House via IoT and Intelligent Computation

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Intelligent Automation & Soft Computing 2023年第1期35卷 415-430页

作者： Wen-Tsai Sung Sung-Jung hsiao Department of Electrical Engineering National Chin-Yi University of TechnologyTaichung411030TaiwanChina Department of Information Technology Takming University of Science and TechnologyTaipei City11451TaiwanChina

This study mainly uses the concept of the Internet of Things(IoT)to establish a smart house with an indoor,comfortable,environmental,and real-time monitoring *** the smart house,this investigation employed the temperature-and humidity-sensing module and the lightness module to monitor any con-dition for an intelligent-living *** data of temperature,humidity,and lightness are transmitted wirelessly to the human-machine *** correlation of the weight of the extension theory is used to analyze the ideal and comfortable environment so that people in the indoor environment can feel better thermal comfort and *** this study,improved particle swarm optimization(IPSO)is employed—an effective evolutionary method used to search the function *** is simple and has a fast *** convergence accuracy of this algorithm is not high at the beginning,and it can easily fall into the local extreme *** effect of the inertia weight in mix extension theory and PSO becomes IPSO-Extension Neural Network(ENN),which was analyzed and found *** by the idea of power function,a new non-linear strategy for decreasing inertia weight(DIW)was proposed based on the existing linear ***,a novel hierarchical multi-sensor data fusion algorithm adopting this strategy was presented,and the weight factor of the data fusion was *** distinctive feature of this algorithm is its capability of fusing data in a near-optimal manner when there is no available information about the reliability of the information sources,the degree of redundancy/complementarities of the information sources,and the structure of the *** obtained effective information from the fusion data,successfully removed the noise disturbance,and achieved favorable results.

关键词： IoT data fusion extension theory particle swarm optimization decreasing inertia weight IPSO-ENN

Application of Active Contour Model in Tracking Sequential Nearshore Waves

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China Ocean Engineering 2009年第2期23卷 251-266页

作者： Yu-Hung hsiao Min-Chih HUANG Department of Systems and Naval Mechatronic Engineering National Cheng Kung University Tainan 701 China

In the present study, a generalized active contour model of gradient vector flow is combined with the video techniques of Argus system to delineate and track sequential nearshore wave crest profiles in the shoaling process, up to their breaking on the shoreline. Previous applications of active contour models to water wave problems are limited to controllable wave tank experiments. By contrast, our application in this study is in a nearshore field environment where oblique images obtained under natural and varying condition of ambient light are employed. Existing Argus techniques produce plane image data or time series data from a selected small subset of discrete pixels. By contrast, the active contour model produces line image data along continuous visible curves such as wave crest profiles. The combination of these two existing techniques, the active contour model and Argus methodologies, facilitates the estimates of the direction wave field and phase speeds within the whole area covered by camera. These estimates are useful for the purpose of inverse calculation of the water depth. Applications of the present techniques to Hsi-tzu bay where a beach restoration program is currently undertaken are illustrated. This extension of Argus video techniques provides new application of optical remote sensing to study the hydrodynamics and morphology of a nearshore environment.

关键词： active contour model snake video images nearshore

Backlit Keyboard Inspection Using Machine Vision

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Journal of Electronic Science and Technology 2015年第1期13卷 39-44页

作者： Der-Baau Perng hsiao-Wei Liu Po-An Chen Department of Applied Informatics and Multimedia the International College Asia University Industrial Technology Research Institute Aurotek Corporation

A robust system for backlit keyboard inspection is revealed. The backlit keyboard not only has changeable diverse colors but also has the laser marking keys. The keys on the keyboard can be divided into regions of function keys, normal keys, and number keys. However, there might have some types of defects： incorrect illuminating area, non-uniform illumination of specified inspection region（IR）, and incorrect luminance and intensity of individual key. Since the illumination features of backlit keyboard are too complex to inspect for human inspector in the production line, an auto-mated inspection system for the backlit keyboard is proposed in this paper. The system was designed into the operation module and inspection module. A set of image processing methods were developed for these defects inspection. Some experimental results demonstrate the robustness and effectiveness of the proposed system.

关键词： Backlit keyboard illumination defect inspection machine vision uniformity

Intelligent Home Using Fuzzy Control Based on AIoT

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Computer Systems Science & Engineering 2023年第5期45卷 1063-1081页

作者： Sung-Jung hsiao Wen-Tsai Sung Department of Information Technology Takming University of Science and TechnologyTaipei City11451Taiwan China Department of Electrical Engineering National Chin-Yi University of TechnologyTaichung411030Taiwan China

The Internet of Things has grown rapidly in recent years,and the technologies related to it have been widely used in various *** idea of this paper is to build a set of Internet of Things systems in a smart home wireless network environment,with the purpose of providing people with a more comfortable,convenient,and safe *** the sensing layer of the Internet of Things,we discuss the uses of common sensing technologies on the Internet and combine these with Arduino microprocessors to integrate temperature sensing modules,humidity sensing modules,gas sensing modules,and particulate matter 2.5(PM2.5)sensing *** the network layer,we discuss using the Wi-Fi wireless networking function composed of a home router and a wireless Wi-Fi chip Espressif system 8266(ESP8266)to transmit the collected home-sensing data to the ThingSpeak cloud ***,in the application layer part,the system uses a mobile device with fuzzy calculation optimization *** system is also connected remotely for home environment monitoring,so the home environment can be optimized anytime,anywhere.

关键词： Wireless sensor networks internet of things ESP8266 thingspeak fuzzy control

An Explicit Formula for Szeg? Kernels on the Heisenberg Group

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Acta Mathematica Sinica,English Series 2018年第8期34卷 1225-1247页

作者： Hendrik HERRMANN Chin Yu hsiao Xiao Shan LI Mathematical Institute University of Cologne Weyertal 86-90 50931 Cologne Germany Institute of Mathematics Academia Sinica and National Center for Theoretical Sciences Astronomy-Mathematics Building No. 1 Sec. 4 Roosevelt Road Taipei 10617 Taiwan China School of Mathematics and Statistics Wuhan University Wuhan 430072 P. R. China

In this paper, we give an explicit formula for the Szego kernel for （0, q） forms on the Heisenberg group Hn＋1.

关键词： Heisenberg group Szego kernels complex Fourier integral operators

N-methyl-D-aspartate receptor functions altered by neuronal PTP1B activation in Alzheimer’s disease and schizophrenia models

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Neural Regeneration Research 2022年第10期17卷 2208-2210页

作者： Alexandre F.R.Stewart hsiao-Huei Chen Department of Biochemistry Microbiology and ImmunologyUniversity of Ottawaand University of Ottawa Heart InstituteOttawaONCanada Centre for Infection Immunity and InflammationOttawaONCanada Medicine Cellular and Molecular MedicineUniversity of Ottawa Brain and Mind InstituteOttawa Hospital Research InstituteOttawaONCanada

Glutamate is the main exc i tatory neurotransmitter in the brain and binds to two major classes of receptors,theα-amino-3-hydroxy-5-methyl-4-isoxazole propionic acid(AMPA)and the N-methyl-D-aspartate(NMDA)*** AMPA receptors that are immediately activated by glutamate release,NMDA receptors are blocked by magnesium and can only be activated by glutamate after membrane ***,NMDA receptors are only activated after repeated AMPA receptor activation by *** receptors are,for the most part,calcium-permeable *** influx through NMDA receptors modulates synaptic transmission in neurons based on prior history of excitation,and provides a means of scaling the strength of synapses required for Hebbian plasticity.

关键词： PTP1B aspartate NMDA

Investigations on control algorithm of steady-state cornering and control strategy for dynamical correction in a steer-by-wire system

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Journal of Zhejiang University-Science A(Applied Physics & Engineering) 2009年第6期10卷 900-908页

作者： Ying XU Chang-fu ZONG hsiao-hsiang NA Lei LIU Department of Computer Science and Technology Jilin University Changchun 130025 China State Key Laboratory of Automobile Dynamic Simulation Jilin University Changchun 130025 China

To improve the handling performance of a steer-by-wire (SBW) vehicle, a series of control logics are proposed. Firstly, an algorithm for enhancing the maneuvering in steady-state cornering is presented. On this basis, two categories of control strategies are used to dynamically correct and compensate the transient state steering responses and vehicle behaviors. Simulator tests including subjective evaluations and virtual field tests are both conducted to make comprehensive investigations on the series of control logics. The subjective evaluations demonstrate that the SBW vehicle with a specifically selected value of steering sensitivity tends to be more desirable for driving than a conventional one in which a fixed steering ratio exists. The virtual field tests indicate that the control strategies for dynamical correction and compensation could effectively improve the handling per-formances of an SBW vehicle by reducing the work load of drivers, enhancing the track-holding performance, and improving steering response properties.

关键词： Steer-by-wire (SBW) Steady-state cornering Steering sensitivity Dynamical correction