Mobile QR Code QR CODE : Journal of the Korean Institute of Illuminating and Electrical Installation Engineers

Journal of the Korean Institute of Illuminating and Electrical Installation Engineers

ISO Journal TitleJ Korean Inst. IIIum. Electr. Install. Eng.

References

1 
Wu T., Wang S. G., 2015, Effects of LED color temperature and illuminance on customers' emotional states and spatial impressions in a restaurant, International Journal of Affective engineering, Vol. 14, No. 1, pp. 19-29DOI
2 
Chen W., 2022, The impact of illuminance level, correlated colour temperature and viewing background on the purchase intention for bread and cakes, Food Quality and Preference, Vol. 98, pp. 104537DOI
3 
León K., Mery D., Pedreschi F., León J., 2006, Color measurement in L∗a∗b∗units from RGB digital images, Food Research International, Vol. 39, No. 10, pp. 1084-1091DOI
4 
Hasenbeck A., 2014, Color and illuminance level of lighting can modulate willingness to eat bell peppers, Journal of the Science of Food and Agriculture, Vol. 94, No. 10, pp. 2019-2056DOI
5 
Luo Y., Li A., Soman D., Zhao J., 2023, A meta-analytic cognitive framework of nudge and sludge, Royal Society Open Science, Vol. 10, No. 11, pp. 230053DOI
6 
He W., 2019, When smart devices are stupid: Negative experiences using home smart devices, IEEE Security and Privacy Workshops (SPW), pp. 150-155Google Search
7 
Putrada A. G., Abdurohman M., Perdana D., Nuha H. H., 2022, Machine learning methods in smart lighting toward achieving user comfort: A survey, IEEE Access, Vol. 10, pp. 45137-45178DOI
8 
Tantanatewin W., Inkarojrit V., 2018, The influence of emotional response to interior color on restaurant entry decision, International Journal of Affective Engineering, Vol. 69, pp. 124-131DOI
9 
LED fresh-light, PhilipsGoogle Search
10 
Display case LED lighting that preserves & sells, PROMOLUXGoogle Search
11 
Fresh food lighting, ITABGoogle Search
12 
Yummy-Looking, SanKenGoogle Search
13 
Shin H., 2016, Deep convolutional neural networks for computer-aided detection: CNN architectures, dataset characteristics and transfer learning, IEEE, Vol. 35, No. 5, pp. 1285-1298DOI
14 
Exploring Edible Images Food Classification, KaggleGoogle Search
15 
Classifying With Pre-Trained Models, ImageNet ClassificationGoogle Search
16 
Park M. K., Kim T. J., 2025, Applicability of resnet-18 based transfer learning for quality assessment of high-resolution satellite images, Korean Journal of Remote Sensing, Vol. 41, No. 2, pp. 301-310DOI
17 
Shen K., Xi H., Hou W., 2025, The effect of correlated colour temperatures of indoor light sources in vegetable markets on consumers visual preferences and product perceptions, Building and Environment, Vol. 280, pp. 113123DOI
18 
Murakoshi T., 2013, Glossiness and perishable food quality: Visual freshness judgment of fish eyes based on luminance distribution, PLoS ONE, Vol. 8, No. 3, pp. e58994DOI
19 
Houser K. W., Wei M., David A., Krames M. R., 2014, Whiteness perception under LED illumination, LEUKOS: The Journal of the Illuminating Engineering Society, Vol. 10, No. 3, pp. 165-180DOI
20 
King D. A., 2023, American meat science association guidelines for meat color measurement, Meat and Muscle Biology, Vol. 6, No. 4, pp. 12473DOI
21 
McCamy C. S., 1992, Correlated color temperature as an explicit function of chromaticity coordinates, Color Research & Application, Vol. 17, No. 2, pp. 142-144DOI