Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 정재원 | - |
dc.date.accessioned | 2018-03-21T00:20:44Z | - |
dc.date.available | 2018-03-21T00:20:44Z | - |
dc.date.issued | 2013-03 | - |
dc.identifier.citation | OPTICS COMMUNICATIONS, 2013, 293, p.22-30 | en_US |
dc.identifier.issn | 0030-4018 | - |
dc.identifier.issn | 1873-0310 | - |
dc.identifier.uri | https://www.sciencedirect.com/science/article/abs/pii/S0030401812012898 | - |
dc.identifier.uri | http://hdl.handle.net/20.500.11754/49834 | - |
dc.description.abstract | Several technological problems have to be resolved for LED to be used as a general purpose light source. For instance, LED luminaires have a property of high luminance due to a narrow beam angle and a small volume compared to general light sources. There are several differences between existing luminaires and the intensity distribution of an LED luminaire. An optical engineer has the challenging problem of designing a spatially extended and non-uniform light source. It is difficult for LED luminaires to obtain the target luminous intensity distribution required in a space, because the design process requires much trial and error. And the process also requires much design time. In this study, an optimization algorithm of a numerical model for luminous intensity distribution of planar LED luminaires was developed to find optimized prism angles. This algorithm would used the micro genetic algorithm technique which is the improved form of genetic algorithms. Also, this algorithm is capable of deriving the optimized angle of a prism to achieve the target luminous intensity distribution of planar prism LED luminaires. Therefore, the purpose of this study is to introduce a numerical model of a planar prism LED luminaire and to develop a optimization algorithm that is able to find an optimum luminaire optical design solution using the micro genetic algorithm. (C) 2012 Elsevier B.V. All rights reserved. | en_US |
dc.description.sponsorship | This work was supported by Mid-career Researcher Program through NRF grant (no. 2012-0055537) funded by the Korea Ministry of Education, Science and Technology, and by the MICE (The Ministry of Knowledge Economy), Korea, under the Convergence-ITRC (Convergence Information Technology Research Center) support program (NIPA-2012-H0401-12-1002) supervised by the NIPA (National IT Industry Promotion Agency). | en_US |
dc.language.iso | en | en_US |
dc.publisher | ELSEVIER SCIENCE BV | en_US |
dc.subject | Optimization algorithm | en_US |
dc.subject | Numerical model of luminous intensity distribution | en_US |
dc.subject | Micro genetic algorithm | en_US |
dc.subject | Optical design | en_US |
dc.subject | Planer LEDs prism luminaire | en_US |
dc.subject | DESIGN | en_US |
dc.subject | ARRAY | en_US |
dc.subject | LENS | en_US |
dc.title | Applying micro genetic algorithm to numerical model for luminous intensity distribution of planar prism LED luminaire | en_US |
dc.type | Article | en_US |
dc.relation.volume | 293 | - |
dc.identifier.doi | 10.1016/j.optcom.2012.11.017 | - |
dc.relation.page | 22-30 | - |
dc.relation.journal | OPTICS COMMUNICATIONS | - |
dc.contributor.googleauthor | Kim, YuSin | - |
dc.contributor.googleauthor | Choi, AnSeop | - |
dc.contributor.googleauthor | Jeong, JaeWeon | - |
dc.relation.code | 2013011561 | - |
dc.sector.campus | S | - |
dc.sector.daehak | COLLEGE OF ENGINEERING[S] | - |
dc.sector.department | DEPARTMENT OF ARCHITECTURAL ENGINEERING | - |
dc.identifier.pid | jjwarc | - |
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