Browsing by Author "Hsu, Chia-Yu"

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Data mining for enhanced driving effectiveness: an eco-driving behaviour analysis model for better driving decisions
(2017-01-01)
Hsu, Chia-Yu
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Lim, Sirirat Sae
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Yang, Chin-Sheng
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科技管理研究所
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Institute of Management of Technology
With the growing demand for energy efficient vehicles, automobile companies are constantly searching for better ways to study their customers' driving behaviour for effective new product design and development. One emerging driving behaviour among modern, eco-friendly drivers is the utilising of advanced vehicle technology for smarter, safer and more fuel-efficient driving. While many eco-driving studies focus on minimising fuel consumption, little attention is paid to how the behaviour of an individual driver and the type of vehicle used impact driving effectiveness. This study addresses this gap by proposing a novel overall drive effectiveness index that uses data mining for better driving decisions. Utilising data mining techniques, the index examines the impact of driving behaviour on driving effectiveness. A novel fuel consumption prediction model based on vehicle speed, engine speed and engine load was constructed. This decision-making support model accurately predicts real-time fuel consumption based on different driving behaviours, and hence, the driving effectiveness. Both the proposed index and fuel consumption model can be used to support decision-making in new product design and development.
Low Power 2.4-GHz Receiver Front-End Using Resoantor Coupling Technique
(2011)
Li, Chun-Hsing
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Hsu, Chia-Yu
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Kuo, Chien-Nan
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電子工程學系及電子研究所
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Department of Electronics Engineering and Institute of Electronics
This paper presents a low power 2.4 GHz receiver front-end design in 0.18 mu m CMOS using a resonator coupling technique. An on-chip transformer combined with the parasitic capacitances from the LNA, a mixer, and the transformer itself comprises the resonator coupling network (RCN). Without any power consumption, the RCN not only acts as a balun, but also provides passive gain to suppress the noise from the mixer. The measured voltage conversion gain, input return loss, and IIP3 are 27.8 dB, 14 dB, and -23 dBm, respectively. The noise figure is 5.4 dB at the IF frequency of 100 kHz. The power consumption is only 1.92 mW under a supply voltage of 1.2 V. The required LO power is only -9 dBm. With such a low LO power level, the receiver front-end including the VCO is expected to consume less power, which is truly suitable for the wireless sensor network applications.