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Yu-Liang Chen

Researcher at National Taiwan University

Publications -  9
Citations -  109

Yu-Liang Chen is an academic researcher from National Taiwan University. The author has contributed to research in topics: Die (integrated circuit) & Quenching (fluorescence). The author has an hindex of 5, co-authored 9 publications receiving 94 citations.

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Journal ArticleDOI

Study on the effects of wafer thinning and dicing on chip strength

TL;DR: In this paper, the authors identified the weak regions, in terms of mechanical strength, in chips in a semiconductor wafer using the three-point bending test, which was observed in two sectors approximately 45/spl deg/m wide, axisymmetric to the wafer center.
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Evaluation of plant seedling water stress using dynamic fluorescence index with blue LED-based fluorescence imaging

TL;DR: In this paper, a dynamic fluorescence image index system capable of non-destructive assessment of water stress in cabbage seedlings was developed, where the quenching curves of chlorophyll fluorescence characteristic to the plant's water stress status under reduced excitation energy were acquired via a multispectral imaging system.
Proceedings ArticleDOI

RFID-integrated Multi-Functional Remote Sensing System for Seedling Production Management

TL;DR: In this paper, a multi-functional remote sensing system (MFRSS) integrating RFID technology with remote spectral imaging and environmental sensing was developed to enhance seedling production and management in greenhouse.
Journal ArticleDOI

Optimization of suitable ethanol blend ratio for motorcycle engine using response surface method.

TL;DR: This study demonstrated low ethanol-gasoline blended fuels could be used in motorcycle carburetor engines without any modification to keep engine power while reducing exhaust pollutants.
Journal ArticleDOI

Development of an automation system for greenhouse seedling production management using radio-frequency-identification and local remote sensing techniques

TL;DR: In this paper, an automation system based on multi-spectral imaging and mobile environmental factor sensing has been developed and operated to obtain necessary spectral image information of seedling growth status on greenhouse benches, a series of image processing procedures was developed.