Browsing by Author "Lin, Shu-Hsuan"
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Item type:Item, A 0.8V, 43.5 mu W ECG Signal Acquisition IC with a Referenceless Time-to-Digital Converter(2016) ;Lin, Shu-Hsuan ;Lin, Fu-To ;Cheng, Nai-Chen ;Liao, Yu-Te電機工程學系This paper presents a 0.8V analog front-end (AFE) with referenceless time-based digitalization architecture for electrocardiogram (ECG) signal acquisition. Compared to the conventional voltage-domain architecture, the proposed AFE achieves a smaller chip area, lower power consumption, and self-calibration without the high-accuracy clock as well as voltage reference. The chip is fabricated using 0.18 mu m CMOS technology and occupies a chip area of 0.84 mm(2). The design attains a variable gain from 35 dB to 47 dB within a bandwidth of 7 kHz and 10-bit time-to-digital conversion while consuming 43.5 mu W at a supply voltage of 0.8V.Item type:Item, A High-Efficiency Power Management IC with Power-Aware Multi-path Rectifier for Wide-Range RF Energy Harvesting(2017-01-01) ;Lin, Shu-Hsuan ;Kuo, Chen-Yi ;Lu, Shao-Yung ;Liao, Yu-Te電機工程學系A highly-integrated CMOS power-management system with wide-range RF for ultra-high frequency (UHF) wireless energy harvesting is presented. To avoid environment-caused sudden power loss and to scavenge energy efficiently, the proposed power management system adopts power-aware rectifier architecture and adaptive DC-DC conversion ratios according to the input power level. The proposed system was fabricated in a 0.18-mu m CMOS process. The system achieved a peak RF/DC conversion efficiency of 59%, a sensitivity of -11.6dBm, and a 13.5dB RF input range for at least 20% power efficiency at a 100K Omega load. At the high input power region (>-9dBm), the proposed architecture improves about 15% efficiency when compared to a conventional rectifier followed by a linear regulator. The peak efficiency of the entire system is 37%.Item type:Item, A Wirelessly Powered CMOS Electrochemical Sensing Interface With Power-Aware RF-DC Power Management(2018-09-01) ;Tsai, Jui-Hsiang ;Kuo, Chen-Yi ;Lin, Shu-Hsuan ;Lin, Fu-ToLiao, Yu-TeA wirelessly powered electrochemical sensing chip with high-efficiency adaptive power management for a wide RF-powering range and a low-noise chopper-stabilization potentiostat for high-resolution electrochemical current detection is presented. The chip is fabricated using a 0.18-mu m CMOS process. A novel, power-aware, multiple-path, RF-energy harvesting front end extends the high-efficiency (> 20%) RF-powering range to 8.5 dB. In the sensor-readout interface, a chopper-stabilization potentiostat with an oscillator-based current readout achieves a 3.3-pA current resolution in the current range of 800nA and an R-2 linearity of 0.9987 while consuming only 4.4 mu W. The power efficiency of the electrochemical readout interface is 0.18, and the dynamic detection range is 107 dB.Item type:Item, Development of Smart Shopping Carts with Customer-Oriented Service(2016) ;Chiang, Hsin-Han ;You, Wan-Ting ;Lin, Shu-Hsuan ;Shih, Wei-ChihLiao, Yu-TeThis paper presents a preliminary development of the smart shopping cart (SSC) that can be integrated into the smart mall system. The SSC can provide customers with the efficient user interface so that the shopping service can be effectively promoted. In the current design, with the function of face recognition on the user interface, the SSC can recognize the customer and further provide the associated assistive shopping information based on the purchase history. With the use of radio-frequency identification (RFID) tags, the SSC can automatically detect the various products which are being added in the cart and show the related information on the user interface. Through the searching function of SSC, the purchasing efficiency and navigation aid in the mall can be effectively supplied. Finally, the automatic billing service can be done by the SSC and the stored shopping data will be transmitted to the cloud server of shopping mall. The experimental demonstration shows the effectiveness of the proposed SSC which interacts with the customer and provides efficient shopping service.Item type:Item, Lysozyme-encapsulated gold nanocluster-based affinity mass spectrometry for pathogenic bacteria(2013-10-15) ;Chan, Po-Han ;Wong, Song-Yi ;Lin, Shu-Hsuan ;Chen, Yu-Chie應用化學系RATIONALE: Bacterial infections can be difficult to treat and can lead to irreversible damage to patients if proper treatment is not provided in time. Additionally, the emerging threat from antibiotic-resistant bacterial strains makes medical treatment even more difficult. Thus, rapid identification of infected bacterial strains is essential to assist diagnostics and medical treatment. METHODS: Lysozymes are glycoside hydrolases that can bind with peptidoglycans on bacterial cell walls. In this work, we demonstrated that lysozyme-encapsulated gold nanoclusters (lysozyme-AuNCs) with red photoluminescence can be used as affinity probes to concentrate pathogenic bacteria. After bacteria had been probed by the lysozyme-AuNCs in a sample solution, the lysozyme-AuNC-bacteria conjugates were readily spun down at a low centrifugation speed. The red emission from the AuNCs on the conjugates could be visualized with the naked eye under illumination of ultraviolet light. The bacteria in the conjugates can be identified by matrix-assisted laser desorption/ionization mass spectrometry (MALDI-MS) combined with principal component analysis (PCA). RESULTS: We demonstrated that pathogenic bacteria including Escherichia coli, Klebsiella pneumoniae, Pseudomonas aeruginosa, pandrug-resistant Acinetobacter baumannii, Staphylococcus aureus, Enterococcus faecalis, and vancomycin-resistant Enterococcus faecalis (VRE) can be readily concentrated by the lysozyme-AuNCs and distinguished by the results combining MALDI-MS and PCA. Additionally, the possibility of using the current approach to differentiate E. faecalis from VRE was also demonstrated. The lowest detection concentration for E. coli using the current approach is similar to 10(6) cells/mL. CONCLUSIONS: The results indicated that the lysozyme-AuNCs are effective affinity probes for Gram-positive and Gram-negative bacteria. By combining the results from MALDI-MS and PCA, different bacteria can be easily distinguished. The current approach can be potentially used to assist the identification of bacteria from biological fluids. Copyright (c) 2013 John Wiley & Sons, Ltd.Item type:Item, Real time monitoring of accelerated chemical reactions by ultrasonication-assisted spray ionization mass spectrometry(2014-01-01) ;Lin, Shu-Hsuan ;Lo, Ta-Ju ;Kuo, Fang-Yin ;Chen, Yu-Chie應用化學系Ultrasonication has been used to accelerate chemical reactions. It would be ideal if ultrasonication-assisted chemical reactions could be monitored by suitable detection tools such as mass spectrometry in real time. It would be helpful to clarify reaction intermediates/products and to have a better understanding of reaction mechanism. In this work, we developed a system for ultrasonication-assisted spray ionization mass spectrometry (UASI-MS) with an similar to 1.7 MHz ultrasonic transducer to monitor chemical reactions in real time. We demonstrated that simply depositing a sample solution on the MHz-based ultrasonic transducer, which was placed in front of the orifice of a mass spectrometer, the analyte signals can be readily detected by the mass spectrometer. Singly and multiply charged ions from small and large molecules, respectively, can be observed in the UASI mass spectra. Furthermore, the ultrasonic transducer used in the UASI setup accelerates the chemical reactions while being monitored via UASI-MS. The feasibility of using this approach for real-time acceleration/monitoring of chemical reactions was demonstrated. The reactions of Girard T reagent and hydroxylamine with steroids were used as the model reactions. Upon the deposition of reactant solutions on the ultrasonic transducer, the intermediate/product ions are readily generated and instantaneously monitored using MS within 1 s. Additionally, we also showed the possibility of using this reactive UASI-MS approach to assist the confirmation of trace steroids from complex urine samples by monitoring the generation of the product ions. Copyright (c) 2014 John Wiley & Sons, Ltd.