Research Methods in Daylighting and Electric Lighting
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[1] Christoph F. Reinhart,et al. Lightswitch-2002: a model for manual and automated control of electric lighting and blinds , 2004 .
[2] Andrew McNeil,et al. A validation of the Radiance three-phase simulation method for modelling annual daylight performance of optically complex fenestration systems , 2013 .
[3] Andrew T. Smith,et al. Cortical hyperexcitability and sensitivity to discomfort glare , 2015, Neuropsychologia.
[4] J. Hernández-Andrés,et al. Color and spectral analysis of daylight in southern Europe. , 2001, Journal of the Optical Society of America. A, Optics, image science, and vision.
[5] Mehlika Inanici,et al. An investigation of the daylighting simulation techniques and sky modeling practices for occupant centric evaluations , 2017 .
[6] Mehlika Inanici,et al. Evaluation of high dynamic range photography as a luminance data acquisition system , 2006 .
[7] Adam Zakiy Hizbullah. ANALISIS KECUKUPAN PENCAHAYAAN ALAMI PADA RUANG PAMERAN BANDUNG TECHNOPARK SESUAI STANDAR DOKUMEN IES-LM-83-12 SPATIAL DAYLIGHT AUTONOMY (SDA) DAN ANNUAL SUNLIGHT EXPOSURE (ASE) , 2019 .
[8] Paul D. Gamlin,et al. Measuring and using light in the melanopsin age , 2014, Trends in Neurosciences.
[9] Mehlika Inanici,et al. Deep neural network approach for annual luminance simulations , 2020, ArXiv.
[10] Mark S. Rea,et al. The Daysimeter: a device for measuring optical radiation as a stimulus for the human circadian system , 2005 .
[11] Mehlika Inanici,et al. A Critical Investigation of Common Lighting Design Metrics for Predicting Human Visual Comfort in Offices with Daylight , 2014 .
[12] Mehlika Inanici. Evalution of High Dynamic Range Image-Based Sky Models in Lighting Simulation , 2010 .
[13] Yvonne A. W. de Kort,et al. Tutorial: Theoretical Considerations When Planning Research on Human Factors in Lighting , 2019, LEUKOS.
[14] N. H. Eklund,et al. The Development of a Reliable, Valid, and Simple Office Lighting Survey , 1996 .
[15] Alexa I Ruppertsberg,et al. Rendering complex scenes for psychophysics using RADIANCE: how accurate can you get? , 2006, Journal of the Optical Society of America. A, Optics, image science, and vision.
[16] Greg Ward,et al. High dynamic range imaging , 2001, SIGGRAPH '04.
[17] Mehlika Inanici,et al. Measuring circadian lighting through high dynamic range photography , 2018, Lighting Research & Technology.
[18] Eleanor S. Lee,et al. Validation of the Five-Phase Method for Simulating Complex Fenestration Systems with Radiance against Field Measurements , 2017, Building Simulation Conference Proceedings.
[19] Victoria Revell,et al. A “Melanopic” Spectral Efficiency Function Predicts the Sensitivity of Melanopsin Photoreceptors to Polychromatic Lights , 2011, Journal of biological rhythms.
[20] Gregory J. Ward,et al. The RADIANCE lighting simulation and rendering system , 1994, SIGGRAPH.
[21] R. G. Hopkinson,et al. Glare from daylighting in buildings. , 1972, Applied ergonomics.
[22] T. Partonen,et al. CLOCK is suggested to associate with comorbid alcohol use and depressive disorders , 2010, Journal of circadian rhythms.
[23] Ian L. Bailey,et al. An Objective Measure of Discomfort Glare , 1994 .
[24] Jitendra Malik,et al. Recovering high dynamic range radiance maps from photographs , 1997, SIGGRAPH '08.
[25] Marilyne Andersen,et al. Preliminary Method for Prospective Analysis of the Circadian Efficacy of (Day)Light with Applications to Healthcare Architecture , 2008 .
[26] J. Veitch,et al. Judging the Scientific Quality of Applied Lighting Research , 2019, LEUKOS.
[27] John Mardaljevic,et al. The BRE-IDMP dataset: a new benchmark for the validation of illuminance prediction techniques , 2001 .
[28] Mark S. Rea,et al. Relative visual performance: A basis for application , 1991 .
[29] Christoph F. Reinhart. Daylight performance predictions , 2019, Building Performance Simulation for Design and Operation.
[30] F. X. Kneizys,et al. AFGL (Air Force Geophysical Laboratory) atmospheric constituent profiles (0. 120km). Environmental research papers , 1986 .
[31] Jean-François Lalonde,et al. Human-centric lighting performance of shading panels in architecture: A benchmarking study with lab scale physical models under real skies , 2020 .
[32] John Mardaljevic,et al. Validation of a lighting simulation program under real sky conditions , 1995 .
[33] K. Kelly,et al. A different type of lighting research – A qualitative methodology , 2017 .
[34] Siobhan Francois Rockcastle,et al. An Experiment in Virtual Reality to Measure Daylight-Driven Interest in Rendered Architectural Scenes , 2017, Building Simulation Conference Proceedings.
[35] Robin Drogemuller,et al. Machine learning framework for developing glare predictive models , 2020 .
[36] Michael Wimmer,et al. Evaluation of HDR tone mapping methods using essential perceptual attributes , 2008, Comput. Graph..
[37] John Mardaljevic,et al. Dynamic Daylight Performance Metrics for Sustainable Building Design , 2006 .
[38] Mehlika Inanici,et al. Improving the Accuracy of Measurements in Daylit Interior Scenes Using High Dynamic Range Photography , 2016 .
[39] Lars O. Grobe,et al. Photon mapping in image-based visual comfort assessments with BSDF models of high resolution , 2019, Journal of Building Performance Simulation.
[40] John D. Bullough,et al. Circadian light , 2010, Journal of circadian rhythms.
[41] Peter Boyce,et al. Lighting quality and office work: two field simulation experiments , 2006 .
[42] Andrew Jones,et al. Direct HDR capture of the sun and sky , 2004, AFRIGRAPH '04.
[43] G. Brainard,et al. Action Spectrum for Melatonin Regulation in Humans: Evidence for a Novel Circadian Photoreceptor , 2001, The Journal of Neuroscience.
[44] Christoph F. Reinhart,et al. Findings from a survey on the current use of daylight simulations in building design , 2006 .
[45] Paul E. Debevec. Image-Based Lighting , 2002, IEEE Computer Graphics and Applications.
[46] P. Boyce,et al. Age, illuminance, visual performance and preference , 1973 .
[47] John Mardaljevic,et al. Useful daylight illuminance: a new paradigm for assessing daylight in buildings , 2005 .
[48] Christoph F. Reinhart,et al. Validation of dynamic RADIANCE-based daylight simulations for a test office with external blinds , 2001 .
[49] Peter Boyce,et al. Human Factors in Lighting , 2014 .
[50] Jan Wienold,et al. Evaluation methods and development of a new glare prediction model for daylight environments with the use of CCD cameras , 2006 .
[51] Christoph F. Reinhart,et al. Teaching Daylight Simulations – Improving Modeling Workflows for Simulations Novices , 2013 .
[52] P. Tregenza,et al. Daylight coefficients , 1983 .
[53] G. Gescheider. Psychophysics : method, theory, and application , 1985 .
[54] Gregory Ward,et al. Efficient modeling of optically-complex, non-coplanar exterior shading: Validation of matrix algebraic methods , 2018 .
[55] Ian L. Bailey,et al. The Influence of Spectral Composition on Discomfort Glare for Large-Size Sources , 1994 .
[56] Veronica Garcia-Hansen,et al. Subjective Assessments of Lighting Quality: A Measurement Review , 2019, LEUKOS.
[57] Mehlika Inanici,et al. Luminance Contrast as Depth Cue: Investigation and Design Applications , 2012 .
[58] Peter Andreas Sattrup,et al. The urban canyon and building energy use: Urban density versus daylight and passive solar gains , 2011 .
[59] María Lovísa Ámundadóttir,et al. Unified framework to evaluate non-visual spectral effectiveness of light for human health , 2017 .
[60] J. Veitch. Psychological Processes Influencing Lighting Quality , 2001 .
[61] DR Bertenshaw,et al. The standardisation of light and photometry – A historical review , 2020 .
[62] Mohammed Ayoub,et al. A review on machine learning algorithms to predict daylighting inside buildings , 2020, Solar Energy.
[63] Christoph F. Reinhart,et al. Experimental validation of ray tracing as a means of image-based visual discomfort prediction , 2017 .
[64] Gunther Wyszecki,et al. Color Science: Concepts and Methods, Quantitative Data and Formulae, 2nd Edition , 2000 .
[65] John E. Flynn,et al. A Guide to Methodology Procedures for Measuring Subjective Impressions in Lighting , 1979 .
[66] Kynthia Chamilothori,et al. Adequacy of Immersive Virtual Reality for the Perception of Daylit Spaces: Comparison of Real and Virtual Environments , 2019 .
[68] D. Skene,et al. An action spectrum for melatonin suppression: evidence for a novel non‐rod, non‐cone photoreceptor system in humans , 2001, The Journal of physiology.
[69] R. Dogniaux,et al. Glare from windows: current views of the problem , 1982 .
[70] Marilyne Andersen,et al. Integration of Eye-tracking Methods in Visual Comfort Assessments , 2011 .
[71] John Mardaljevic,et al. A framework for predicting the non-visual effects of daylight – Part II: The simulation model , 2014 .
[72] J. Michalsky,et al. All-weather model for sky luminance distribution—Preliminary configuration and validation , 1993 .
[73] G. Ward,et al. 54.2: A High Dynamic Range Display Using Low and High Resolution Modulators , 2003 .
[74] G. Newsham,et al. A model of satisfaction with open-plan office conditions: COPE field findings , 2007 .
[75] Jennifer A. Veitch,et al. Determinants of Lighting Quality II: Research and Recommendations. , 1996 .
[76] P. Boyce. Human Factors in Lighting, Third Edition , 2014 .