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Yi-Chin Fang
Researcher at National Kaohsiung First University of Science and Technology
Publications - 68
Citations - 470
Yi-Chin Fang is an academic researcher from National Kaohsiung First University of Science and Technology. The author has contributed to research in topics: Lens (optics) & Zoom lens. The author has an hindex of 12, co-authored 66 publications receiving 436 citations.
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Journal ArticleDOI
Optical design of automotive headlight system incorporating digital micromirror device
Chuan-Cheng Hung,Yi-Chin Fang,Ming-Shyan Huang,Bo-Ren Hsueh,Shuan-fu Wang,Bo-Wen Wu,Wei-Chi Lai,Yi-Liang Chen +7 more
TL;DR: This research proposes a new integral optical design for an automotive headlight system with an advanced light-emitting diode and digital micromirror device (DMD) for high and low beam capabilities.
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Optical design and multiobjective optimization of miniature zoom optics with liquid lens element
TL;DR: It is concluded that the Taguchi method and RMCO approach is successful in optimizing the RI and MTF values of the fold 2.5x zoom lens system and yields better and more balanced performance, which is very difficult for the traditional least damping square method to achieve.
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Eliminating chromatic aberration in Gauss-type lens design using a novel genetic algorithm.
TL;DR: Two different types of Gauss lens design, which effectively eliminate primary chromatic aberration, are presented using an efficient genetic algorithm (GA) and involving theories of geometrical optics in order to select the best optical glass combination.
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A study of optical design and optimization of zoom optics with liquid lenses through modified genetic algorithm.
TL;DR: A newly developed digital zoom layout and optimization with a modified genetic algorism (GA) method, in order to meet the demands of a certain specification, achieves a successful optical design and the optimization of the digital zoom optics with liquid optics.
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Study of optimization of an LCD light guide plate with neural network and genetic algorithm
TL;DR: An optimization method for designing a prism-pattern LCD light guide plate (LGP) using a neural-network optical model and a real-valued genetic algorithm to achieve excellent luminance uniformity in the exiting light is proposed.