A multi-functional nine channels full-spectrum light emitting diodes color temperature palette

Jingjing   Liang; Hui  Cao; Donghua  Xu; Xiaobing  Lu; Javid  Atai

A multi-functional nine channels full-spectrum light emitting diodes color temperature palette

Jingjing Liang School of Computer Science (School of Artificial Intelligence), Guangzhou Maritime University, Guangzhou 510725, China; School of Physics and Materials Science, Guangzhou University, Guangzhou 510006, China
Hui Cao School of Computer Science (School of Artificial Intelligence), Guangzhou Maritime University, Guangzhou 510725, China
Donghua Xu Public laboratory center, Guangzhou Maritime University, Guangzhou 510725, China
Xiaobing Lu Department of Nutritional and Metabolic Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou 510370, China; Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou 510370, China
Javid Atai School of Electrical and Information Engineering, The University of Sydney, NSW 2006, Australia

Ariticle ID: 1722

52 Views, 10 PDF Downloads

Keywords: color temperature palette; full-spectrum; high color rendering; color temperature reproduction; circadian effect

Abstract

A multi-functional nine channels full-spectrum light emitting diodes color temperature palette with continuously tunable color temperature at 1 K interval in 2500 K–6500 K, high color rendering of Ra > 94, R1–R15 > 90, Rf > 91, 96 ≤ Rg ≤ 104 is proposed. |Duv| < 0.001 is also achieved. The circadian effect of light source with melanopic efficacy of luminous radiation of 0.6 mW/lm–1.14 mW/lm and circadian action factor of 0.424 blm/lm–0.96blm/lm are obtained. The color temperature palette enables precise control and reproduction of color temperature of sunlight with corresponding circadian effect, which is of positive significance for visual fields such as photography or art exhibitions and regulation of circadian rhythm.

References

Liang M, Xu J, Qiang Y, et al. Ce3+ doped BaLu2Al2Ga2SiO12—A novel blue-light excitable cyan-emitting phosphor with ultra-high quantum efficiency and excellent stability for full-spectrum white LEDs. Journal of Rare Earths. 2021; 39(9): 1031–1039. doi: 10.1016/j.jre.2020.09.015

Wu AH, Wang QT. Application of raman spectroscopy in the lithium battery industry. Journal of Guangzhou Maritime University. 2023; 31(04): 55–61.

Qin XF, Zhu JS, Sun HY. Construction of the evaluation index system of night navigation ship's bridge light environment. Journal of Guangzhou Maritime University. 2023; 31(01): 13–17.

Berson DM, Dunn FA, Takao M. Phototransduction by Retinal Ganglion Cells That Set the Circadian Clock. Science. 2002; 295(5557): 1070–1073. doi: 10.1126/science.1067262

Hatori M, Gronfier C, Van Gelder RN, et al. Global rise of potential health hazards caused by blue light-induced circadian disruption in modern aging societies. npj Aging and Mechanisms of Disease. 2017; 3(1). doi: 10.1038/s41514-017-0010-2

Oh JH, Yoo H, Park HK, et al. Analysis of circadian properties and healthy levels of blue light from smartphones at night. Scientific Reports. 2015; 5(1): 11325. doi: 10.1038/srep11325

Wahl S, Engelhardt M, Schaupp P, et al. The inner clock—Blue light sets the human rhythm. Journal of Biophotonics. 2019; 12(12). doi: 10.1002/jbio.201900102

Chhajed S, Xi Y, Li YL, et al. Influence of junction temperature on chromaticity and color-rendering properties of trichromatic white-light sources based on light-emitting diodes. Journal of Applied Physics. 2005; 97(5): 054506. doi: 10.1063/1.1852073

Lin CC, Liu RS. Advances in Phosphors for Light-emitting Diodes. The Journal of Physical Chemistry Letters. 2011; 2(11): 1268–1277. doi: 10.1021/jz2002452

Jiang C, Peng M, Srivastava AM, et al. Brik M. Mn4+-Doped Heterodialkaline Fluorogermanate Red Phosphor with High Quantum Yield and Spectral Luminous Efficacy for Warm-White-Light-Emitting Device Application. Inorganic Chemistry. 2018; 57(23): 14705–14714. doi: 10.1021/acs.inorgchem.8b02488

Wei Y, Xing G, Liu K, et al. New strategy for designing orangish-red-emitting phosphor via oxygen-vacancy-induced electronic localization. Light: Science & Applications. 2019; 8(1). doi: 10.1038/s41377-019-0126-1

Narukawa Y, Narita J, Sakamoto T, et al. Ultra-High Efficiency White Light Emitting Diodes. Japanese Journal of Applied Physics. 2006; 45(10L): L1084. doi: 10.1143/jjap.45.l1084

Fukuda Y, Matsuda N, Okada A, et al. White Light-Emitting Diodes for Wide-Color-Gamut Backlight Using Green-Emitting Sr-Sialon Phosphor. Japanese Journal of Applied Physics. 2012; 51(12R): 122101. doi: 10.1143/jjap.51.122101

Zhang B, Ying S, Wang S, et al. Blue-Green-Yellow Color-Tunable Luminescence of Ce3+-, Tb3+-, and Mn2+-Codoped Sr3Yna (PO4)3F via Efficient Energy Transfer. Inorganic Chemistry. 2019; 58(7): 4500–4507. doi: 10.1021/acs.inorgchem.9b00030

Zhao M, Liao H, Molokeev MS, et al. Emerging ultra-narrow-band cyan-emitting phosphor for white LEDs with enhanced color rendition. Light: Science & Applications. 2019; 8(1). doi: 10.1038/s41377-019-0148-8

Liang J, Devakumar B, Sun L, et al. Full-visible-spectrum lighting enabled by an excellent cyan-emitting garnet phosphor. Journal of Materials Chemistry C. 2020; 8(14): 4934–4943. doi: 10.1039/d0tc00006j

Ishimoto S, Han DP, Yamamoto K, et al. Improvement of emission efficiency with a sputtered AlN buffer layer in GaInN-based green light-emitting diodes. Japanese Journal of Applied Physics. 2019; 58(SC): SC1040. doi: 10.7567/1347-4065/ab079f

Peng M, Yin X, Tanner PA, et al. Site Occupancy Preference, Enhancement Mechanism, and Thermal Resistance of Mn4+ Red Luminescence in Sr4Al14O25: Mn4+ for Warm WLEDs. Chemistry of Materials. 2015; 27(8): 2938–2945. doi: 10.1021/acs.chemmater.5b00226

Wu T, Lin Y, Zhu H, et al. Multi-function indoor light sources based on light-emitting diodes-a solution for healthy lighting. Optics Express. 2016; 24(21): 24401–24412. doi: 10.1364/oe.24.024401

Zhu F, Lin Y, Huang W, et al. Multi-primary human-centric lighting based on the optical power ratio and the CCT super-smooth switching algorithms. Building and Environment. 2023; 228: 109880. doi: 10.1016/j.buildenv.2022.109880

Zhan X, Wang W, Chung HSH. A Novel Color Control Method for Multicolor LED Systems to Achieve High Color Rendering Indexes. IEEE Transactions on Power Electronics. 2020; 8: 136498.

Saw YJ, Kalavally V, Tan CP. The Spectral Optimization of a Commercializable Multi-Channel LED Panel with Circadian Impact. IEEE Access. 2020; 8: 136498–136511. doi: 10.1109/access.2020.3010339

Nie J, Wang Q, Dang W, et al. Tunable LED Lighting with Five Channels of RGCWW for High Circadian and Visual Performances. IEEE Photonics Journal. 2019; 11(6): 1–12. doi: 10.1109/jphot.2019.2950834

Stevens RG. Artificial Lighting in the Industrialized World: Circadian Disruption and Breast Cancer. Cancer Causes & Control. 2006; 17(4): 501–507. doi: 10.1007/s10552-005-9001-x

Wada K, Nagata C, Nakamura K, et al. Light exposure at night, sleep duration and sex hormone levels in pregnant Japanese women. Endocrine Journal. 2012; 59(5): 393-398. doi: 10.1507/endocrj.ej11-0325

Royer MP. Tutorial: Background and Guidance for Using the ANSI/IES TM-30 Method for Evaluating Light Source Color Rendition. LEUKOS. 2021; 18(2): 191–231. doi: 10.1080/15502724.2020.1860771

Han Z, Zhang Z, Liu K, et al. Spectral optimization of trichromatic white LEDs based on age of lighting user and application scene. Optics Express. 2023; 31(7): 11624–11632. doi: 10.1364/oe.485523

Cerpentier J, Meuret Y. Fundamental Spectral Boundaries of Circadian Tunability. IEEE Photonics Journal. 2021; 13(4): 1–5. doi: 10.1109/jphot.2021.3098903

Sun J, Zhang JW. Design of LED Light Source for Uniform Illumination in Large Area. Applied Mechanics and Materials. 2013; 401–403: 465–468. doi: 10.4028/www.scientific.net/amm.401-403.465

Davis W. Color quality scale. Optical Engineering. 2010; 49(3): 033602. doi: 10.1117/1.3360335

Published

2024-11-05

How to Cite

Liang, J., Cao, H., Xu, D., Lu, X., & Atai, J. (2024). A multi-functional nine channels full-spectrum light emitting diodes color temperature palette. Sound & Vibration, 59(1), 1722. Retrieved from https://ojs.acad-pub.com/index.php/SV/article/view/1722

Download Citation

Issue

Vol. 59 No. 1 (2025)

Section

Articles

This work is licensed under a Creative Commons Attribution 4.0 International License.

Editor-in-Chief

Prof. Jun Yang

Institute of Acoustics, Chinese Academy of Sciences, China

ISSN

1541 - 0161 (Print)

2693 - 1443 (Online)

Publication Frequency

Continuously

About the Publisher

Academic Publishing insists on taking academic exchange and publication as the main line, carrying out comprehensive management based on science and technology, and fully exploring excellent international publishing resources. Within 5 years, it will form a strategic framework and scale with science (S), technology (T), medicine (M), education (E), and humanities and arts (H) as the main publishing fields. Academic Publishing is headquartered in Singapore and based in Malaysia, with the United States and China providing the main scientific and academic resources. At the same time, it has established long-term good cooperative relations with other publishing companies, scientific research communities, and academic organizations in more than a dozen countries and regions. Academic Publishing uses English and Chinese as its main publishing languages, mainly publishing books, journals, and conference papers in print and online. The vast majority of publications follow the international open access policy, providing stable and long-term quality and professional publications. With the joint efforts of the expert team and our professional editorial team, our publications will gradually be indexed by international databases in stages to provide convenient and professional retrieval for various scholars. At the same time, manuscripts we accept will be subject to the peer review principle, and cutting-edge and innovative research articles will be preferentially accepted for peer reference and discussion. All kinds of our publications are welcome for peer to contribute, access, and download.

more

Volume Arrangement

Vol 58 (2024)

more issues

Featured Articles

Soundscapes in Arab Cities: A Systematic Review and Research Agenda

In the context of Arab cities, this study explores the intricate interplay between cultural, historical, and environmental elements that shape their unique soundscapes. The paper aims to shed light on this underrepresented field of study by employing a three-fold research approach: systematic review, a comprehensive literature review, and the formulation of a future research agenda. The first part of the investigation focuses on research productivity in the Arab world regarding soundscape studies. An analysis of publication trends reveals that soundscape research in Arab cities is still an emerging area of interest. Critical gaps in the existing body of literature are identified, highlighting the importance of addressing these gaps within the broader context of global soundscape research. The second part of the study delves into the distinctive features that inform the soundscapes of Arab cities. These features are categorized into three overarching groups: (i) cultural and religious life, (ii) daily life, and (iii) heritage and history, by exploring these factors, the study aims to elucidate the multifaceted nature of Arab urban soundscapes. From the resonating calls to prayer and the vibrant ambiance of traditional cafes to the bustling markets and architectural characteristics, each factor contributes to the auditory tapestry that defines Arab cities. The paper concludes with a forward-looking research agenda, proposing sixteen key questions organized into descriptive and comparative categories. These questions emphasize the need for a more profound understanding of sound perception, sources, and the impact of urban morphology on the soundscape. Additionally, they highlight the need for interdisciplinary research, involving fields such as urban planning, architecture, psychology, sociology, and cultural studies to unravel the complexity of Arab urban soundscapes.

Prediction of Sound Transmission Loss of Vehicle Floor System Based on 1D-Convolutional Neural Networks

The Noise, Vibration, and Harshness (NVH) experience during driving is significantly influenced by the sound insulation performance of the car floor acoustic package. As such, accurate and efficient predictions of its sound insulation performance are crucial for optimizing related noise reduction designs. However, the complex acoustic transmission mechanisms and difficulties in characterizing the sound absorption and insulation properties of the floor acoustic package pose significant challenges to traditional Computer-Aided Engineering (CAE) methods, leading to low modeling efficiency and prediction accuracy. To address these limitations, a hierarchical multi-objective decomposition system for predicting the sound insulation performance of the floor acoustic package has been developed based on an analysis of the noise transmission path. This approach involves introducing a 1D-Convolutional Neural Network (1D-CNN) model for predicting the sound insulation performance of the floor acoustic package, thereby avoiding the limitations of conventional CAE approaches that rely solely on “data-driven” methods. The proposed method was applied and tested using specific vehicle models, and the results demonstrated the effectiveness and superiority of the proposed approach relative to those obtained using 2D-CNN and Support Vector Regression (SVR) models.

A Sound Quality Evaluation Method for Vehicle Interior Noise Based on Auditory Loudness Model

When designing and optimizing the hull of vehicles, their sound quality needs to be considered, which greatly depends on the psychoacoustic parameters. However, the traditional psychoacoustic calculation method does not consider the influence of the real human ear anatomic structure, even the loudness which is most related to the auditory periphery. In order to introduce the real physiological structure of the human ear into the evaluation of vehicle sound quality, this paper first carried out the vehicle internal noise test to obtain the experimental samples. Then, the physiological loudness was predicted based on an established human ear physiological model, and the noise evaluation vector was constructed by combining the remaining four psychoacoustic parameters. Finally, the evaluation vector was fitted into the subjective evaluation results of vehicle interior noise by a deep neural network. The results show that our proposed method can estimate the human subjective perception of vehicle interior noise well.

Prediction and Analysis of Vehicle Interior Road Noise Based on Mechanism and Data Series Modeling

Currently, the inexorable trend toward the electrification of automobiles has heightened the prominence of road noise within overall vehicle noise. Consequently, an in-depth investigation into automobile road noise holds substantial practical importance. Previous research endeavors have predominantly centered on the formulation of mechanism models and data-driven models. While mechanism models offer robust controllability, their application encounters challenges in intricate analyses of vehicle body acoustic-vibration coupling, and the effective utilization of accumulated data remains elusive. In contrast, data-driven models exhibit efficient modeling capabilities and can assimilate conceptual vehicle knowledge, but they impose stringent requirements on both data quality and quantity. In response to these considerations, this paper introduces an innovative approach for predicting vehicle road noise by integrating mechanism-driven and data-driven methodologies. Specifically, a series model is devised, amalgamating mechanism analysis with data-driven techniques to predict vehicle interior noise. The simulation results from dynamic models serve as inputs to the data-driven model, ultimately generating outputs through the utilization of the Long Short-Term Memory with Autoencoder (AE-LSTM) architecture. The study subsequently undertakes a comparative analysis between different dynamic models and data-driven models, thereby validating the efficacy of the proposed series vehicle road noise prediction model. This series model, encapsulating the rigid-flexible coupling dynamic model and AE-LSTM series model, not only demonstrates heightened computational efficiency but also attains superior prediction accuracy.