Browsing by Author "Yu, Chun"

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A Novel Multivariate Analysis Method with Noise Reduction
(2009)
Chang, Shu-Hao
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Chiou, Yu-Jen
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Yu, Chun
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Lin, Chii-Wann
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Hsiao, Tzu-Chien
In this paper, we develop a novel Partial Regularized Least Squares (PRLS) method which combined regularization algorithm with Partial Least Squares (PLS) analysis for noise reduction application. In general, Least Squares and PLS fall into an overfitting problem with ill-posed condition. It means that some feature selections make the training data to have better adaptability to the model, but the quality of prediction would be poorly compared to the training data for the testing information. We usually expected that the selected model should have consistent predicted result between the training data and testing data. In order to evaluate the performance of PRLS method, we generate two simulation data, i.e. cosine waveform and 8th polynomial waveform with Gaussian distribution noisy for calculating two values, i.e. Correlation Coefficient value (RR value) and Root Mean Square Error (RMSE) for testing. The results show that the RR value of PRLS is higher than PLS's at increasing noise-to-signal ratio. As well the RMSE of PRLS is lower than PLS's at same S/N ratio. We also show that the PRLS approximates to the desired output at calibration. It can be applied in real-world noise reduction in the future.
Advanced Plasmonic Biosensing Devices and Automation Systems for Disease Diagnostic and Drug Screening Applications
(2008-01-01)
Chiu, Nan-Fu
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Wey, Tzuu-Shaang
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Yu, Chun
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Hsiao, Tzu-Chien
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Lin, Chii-Wann
Bio-plasmonics is proposed for the research and development of novel devices, which use biomolecules as a part of the plasmon oscillation system to actively interact with nano/micro structure. We have reported a novel design of Surface Plasmon Resonance (SPR) device and system, which uses alternative dielectric layers to enhance the SPR signal quality and modulate its resonant position. The use of biomolecular thin film, such as DNAs or Proteins, in this design can result in resonant condition of wavelength changes and thus can be detected by using nano-grating in the scattering mode with ehanced feature due to resonance. According to our calculation, it can provide ultra sensitivity system (dLx/dn) of 10(8) for biosensor applications. The fundamental SPR principle and extended application of these fundamental principles and novel devices, including screening and diagnosis, will be discussed SPR-system to control is the ability. SPR-system has the ability to detect, in near real-time, the concentration of a target analyte and biosensing is viewed as a key application domain for this new technology.
Implementation of Smart Medical Home Gateway System for Chronic Patients
(2009)
Yu, Chun
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Yang, Jhih-Jyun
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Hsiao, Tzu-Chien
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Liu, Pei-Ling
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Yao, Kai-Ping
Because of the rapid aging population in Taiwan and the trend of fewer children, people are looking into technical solutions for continuous/intermittent monitoring of vital signs in the home setting environment and the interactions between family members. In this study, we have designed and implemented a home medical gateway system to connect the home-care side and the health informatics side. The home-care part provides five vital signs monitoring and on-line feedback message. Users are allowed to browse their records and read the received health information (e.g. physical checkup, health education, preventive inoculation...etc.) on the Flash based interface. This study also evaluated the practicability of the home gateway system. The number of interviewees is twenty. The analysis results show the positive user feedback of the system, and have high potential to promote the quality of patient\'s life. An example case of obstructed sleep apnea (OSA) patient has been studied with this system. The result shows that the gateway system can help the OSA patient to monitor and improve their sleep quality.
Rapid wheezing detection algorithm for real-time asthma diagnosis and personal health care
(2009)
Yu, Chun
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Hsiao, Tzu-Chien
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Tsai, Tzu-Hsiu
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Huang, Shi-Ing
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Lin, Chii-Wann
Pulmonary disease, such as asthma or chronic obstructive pulmonary disease (COPD), has been a major health concern throughtout the world. It would thus be necessary to develop an effective monitorning device and a real-time diagnosis algorithm for targeted populations, especially for children. Wheezing sound induced by asthma is a critical index for clinicians to make diagnosis. The traditional way to detect wheezing sound is to utilize the digital image process (DIP) method for tracking the specific wheezing pattern appeared in the short-time Fourier transform (STFT) spectral graph of respiratory sound. However, this method requires intensive computation and thus is difficult to implement for real-time diagnosis and low power consumption for personal health care system. In this study, we developed a new wheezing detection algorithm which is based on the estimation of correlation-coefficient of respiratory sound spectrum, called respiratory spectrum correlation-coefficient method (RSCM) in place of DIP step. Because of low memory quest of RSCM process, it can be installed easily in the microcontroller or PDA. We have implanted RSCM to a personal asthma daily care system based on both laptop and PDA. User can measure the respiratory sound by designed microphone input and real-time diagnose the occurrence of asthma. In the initial test, thirteen cases (six for wheezing and seven for normal) of respiratory sound were collected from the public domain websites. The result shows that the sensitivity and specificity for wheezing detection are 83% and 86%, respectively. This result assures the possibility to meet the demands of personal health care.
UAV 3D modeling with multi-spectral imaging: An example of wax apple tree
(2019-01-01)
Shih, Ruei-Siang
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Li, Yi-Sheng
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Yan, Yung-Jhe
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Yu, Chun
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Huang, Wei-Tsang
As the Unmanned aerial vehicle (UAV) become ubiquitous, many early studies utilizing the UAV for three-dimensional (3D) modeling system are successively proposed as well. The advantage of using UAV successfully advances efficiency and reduces the cost time for simplifying the process of collecting data. Moreover, the characteristics of the light sized and suspension of new designed UAV could allow the users to gather the precise data from the rugged terrain and through a crowd of trees and may build a detail 3D and hyperspectral images. By those high-resolution 3D model data, the texture and shape of observation can be seen and brings research into further analysis. However, there are some limits that the information of 3D modeling data in RGB wide bands is not adequate to investigate vegetation research. The hyper spectrum collects the information of tens of bands with the narrow bandwidth could analyze the detail difference between abnormal and normal situations when the plant is growing. Therefore, how to combine hyperspectral data into a 3D modeling system would be important when researches want to attain the location data and spectral image simultaneously. In this study, the UAV will be loaded with two kinds of systems, and try to build the model include 3D modeling information and spectral information. As a result, it can monitor the growth condition of plants, their environment, also the precise location at the same time so that it can make vegetation analysis more complete.