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Reconstruction of color mixing model using tunable light-emitting diode with unequal radiated power
Revantinoa,b, Mangkuto R.A.a, Sanjaya A.R.a, Putra J.K.a, Soelami F.X.N.a, Soegijanto R.M.a, Revantinoa,b, Faridahc
a Engineering Physics Program, Institut Teknologi Bandung, Bandung, Indonesia
b Center for Material and Technical Product (B4T), Ministry of Industry of the Republic of Indonesia, Bandung, Indonesia
c Engineering Physics Program, Universitas Gadjah Mada, Yogyakarta, Indonesia
[vc_row][vc_column][vc_row_inner][vc_column_inner][vc_separator css=”.vc_custom_1624529070653{padding-top: 30px !important;padding-bottom: 30px !important;}”][/vc_column_inner][/vc_row_inner][vc_row_inner layout=”boxed”][vc_column_inner width=”3/4″ css=”.vc_custom_1624695412187{border-right-width: 1px !important;border-right-color: #dddddd !important;border-right-style: solid !important;border-radius: 1px !important;}”][vc_empty_space][megatron_heading title=”Abstract” size=”size-sm” text_align=”text-left”][vc_column_text]© 2018 IEEE.Experiment used single chip of high power Light-emitting Diode (LED) was conducted to construct a model of color mixing. The used LED consisted of red-green-blue (RGB) components and formed into simple bulb prototype. The light intensity of each color could be adjusted by Arduino type microcontroller, with variation input levels from 0 to 250. It was obtained from initial characterization, by set same input levels, each color component had unequal peak of radiated power. Data processing and analysis were performed by multi-linear regression, to determine a linking matrix between Arduino’s input levels and mixed output in tri-stimulus values. By determining tuning coefficients from equalization of radiated power; it yielded evenly distribution of chromaticity coordinates in CIE-1931 diagram compared to initial model.[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Author keywords” size=”size-sm” text_align=”text-left”][vc_column_text]Arduino,Chromaticity coordinates,Multi-linear regression,RGB LED,Tuning coefficient[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Indexed keywords” size=”size-sm” text_align=”text-left”][vc_column_text]arduino microcontroller,chromaticity coordinates,multilinear regression,RGB LED,tuning coefficients[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Funding details” size=”size-sm” text_align=”text-left”][vc_column_text]ACKNOWLEDGMENT This research is supported by the Ministry of Research, Technology, and Higher Education of the Republic of Indonesia, through the Fundamental Research Program (PDUPT) 2018. This research was also supported by the Asahi Glass Foundation Overseas Research Grant 2017. We gratefully acknowledge the funding from USAID through the SHERA program – Centre for Development of Sustainable Region (CDSR).[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”DOI” size=”size-sm” text_align=”text-left”][vc_column_text]https://doi.org/10.1109/OGC.2018.8529893[/vc_column_text][/vc_column_inner][vc_column_inner width=”1/4″][vc_column_text]Widget Plumx[/vc_column_text][/vc_column_inner][/vc_row_inner][/vc_column][/vc_row][vc_row][vc_column][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][/vc_column][/vc_row]