2016 Conference or Workshop Item NonPeerReviewed Basri, S. Institute of Electrical and Electronics Engineers Inc. Overall the mobile application has the ability to calculate distance between lightning strike and current location and nearby city, store the records online, and mark circles on map to show possible lightning strikes area. It is consist three main phases of a development cycle iteration which are analysis and design and lastly followed by implementation. Therefore the objective of this study is to develop a lightning distance calculator mobile application following the RAD methodology. Hence, since most Malaysians nowadays use mobile applications on their smartphones it is an evitable to develop more flexible lightning distance calculation apps. Calculating the distance between a person and the nearby lightning strike can determine whether an individual is in a safe distance from it. Moreover the calculation of the lightning distance is been done manually and not so accurate. Since Malaysia is one of the countries with the highest number of lightning strikes in the world, the number of deaths and injuries are quite high due to low level of awareness of lightning safety and its dangers. Lightning strike can be fatal to any human or can even cause injuries. The Academy welcomes feedback regarding SSI.Utp-eprints.30528 Lightning distance mobile application lightning distance calculator Basri, S. We believe this is also applicable to other areas in which quality reproduction rendering or perception of color is important. SSI was later revised to add the ability to use other reference illuminants such as blackbody illuminants of arbitrary color temperature and CIE standard illuminants.)Īdditional general information on solid state lighting and how it affects color rendering can be found on the main SSL page:Ĭinematographers see value in an index that provides a level of confidence in color rendering independent of the camera used.
Lightning score calculator iso#
(Note: In that presentation, the only reference illuminants postulated were ISO daylight and studio tungsten. SSI is fully described in a presentation that was given to the Society of Motion Picture and Television Engineers (SMPTE) at its technical conference in 2016 (accessible by SMPTE and IEEE members at ). Instructions for using the calculator can be found at: SSI has been adopted and published by the Society of Motion Picture and Television Engineers as a SMPTE standard, ST 2122.Īdditional information on basic lighting and color principles, lighting metrics currently used in motion picture production, why SSI was developed, and how it is calculated, is available in this white paper:Ī tool for calculating the SSI is also available: SSI is useful for cinematography, television, still photography, and human vision. High values indicate predictable rendering by most cameras (as well as “quality” of visual appearance) low values may produce good colors with a particular camera but not with others. Rather, it quantitatively compares the spectrum of the test light with that of a desired reference light source, expressing the similarity as a single number on a scale up to 100 (which would indicate a perfect match). The TLCI measures rendering by an idealized three-chip camera, which does not adequately account for the differing spectral sensitivities of single-chip cinema- or still-camera digital sensors.įor these reasons, SSI is not based on human vision, nor any particular real or idealized camera, and does not assume particular spectral sensitivities. Existing color metrics were not designed for cinema cameras CRI, for example, is based on human color sensitivity rather than camera sensitivities. These spectral distributions can wreak havoc with color rendition (by both film and digital sensors), since film and digital cameras are all expressly designed to work with, and are indeed optimized for, standard tungsten and daylight. In contrast to the relatively smooth, broad-spectrum power distributions of blackbody emission, tungsten incandescence, and daylight (and the ISO standardizations of these sources), many solid-state lights are characterized by peaky, multimodal, or narrow-band spectral distributions. The Spectral Similarity Index, or SSI, addresses issues with existing indices such as the Color Rendering Index (CRI) and the Television Lighting Consistency Index (TLCI) that make them inappropriate to describe lighting for digital cinema cameras - issues that have become more evident with the emergence of solid-state lighting (SSL) sources such as LED’s. The Academy of Motion Picture Arts and Sciences, working with cinematographers, cinema lighting experts, lighting manufacturers, and lighting, imaging, and camera scientists and engineers, has developed a new index for the spectral evaluation of lights.
0 kommentar(er)
