Philips

About: Philips is a company organization based out in Vantaa, Finland. It is known for research contribution in the topics: Signal & Layer (electronics). The organization has 68260 authors who have published 99663 publications receiving 1882329 citations. The organization is also known as: Koninklijke Philips Electronics N.V. & Royal Philips Electronics.

Synchronizing text/visual information with audio playback

Abstract: A method of synchronizing visual information with audio playback includes the steps of selecting a desired audio file from a list stored in memory associated with a display device, sending a signal from the display device to a remote device to cause the remote device to start playing the desired audio file; and displaying visual information associated with the desired audio file on the display device in accordance with timestamp data such that the visual information is displayed synchronously with the playing of the desired audio file, wherein the commencement of playing the desired audio file and the commencement of the displaying step are a function of the signal from the display device.

Method and system for feedback and control of a luminaire

Abstract: The present invention comprises a method and system for controlling the chromaticity and luminous flux output of a digitally controlled luminaire. The luminaire comprises one or more light-emitting elements and one or more light sensors which can provide optical feedback, wherein this optical feedback is filtered to remove undesired frequencies. The method and system comprises a control system which can sample the filtered signals from the light sensors according to a predetermined feedback sampling frequency scheme, wherein this scheme is specifically configured to provide sufficient iterations of the feedback loop to be performed for adjustment of the chromaticity and luminous flux output of the light-emitting elements, without perceptible visual flicker or momentary chromaticity shifts.

Representation and Hidden Bias: Gray vs. Binary Coding for Genetic Algorithms

Abstract: Experimental results are presented that indicate Gray coding is generally superior to binary coding for function optimization using the genetic algorithm. Analysis suggests that Gray coding eliminates the “Hamming cliff” problem that makes some transitions difficult when using a binary representation. We argue that the “Hamming cliff” is but one instance of hidden bias emerging from an interaction between search control heuristics and the knowledge representation.