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Institution

Philips

CompanyVantaa, Finland
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.


Papers
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Patent
Frijlink Peter1
21 Mar 1989
TL;DR: In this article, an epitaxial growth reactor for processing wafers of a semiconductor material by exposing it to a reactive gas flow is described, where the mixture used is a hydrogen/argon mixture, the proportion of each of these gasses in the mixture being adjustable.
Abstract: An epitaxial growth reactor for processing wafers (1) of a semiconductor material by exposing it to a reactive gas flow. A wall (8) positioned at a slight distance from the wafer or group of wafers which is exposed to the reactive gas in a double wall, with a very narrow space (34) between the two walls, and this space is filled with a mixture whose composition can be varied and, consequently, the thermal conductivity can be adjusted. The mixture used is a hydrogen/argon mixture, the proportion of each of these gasses in the mixture being adjustable. The interior wall (8) of the double wall is a quartz plate and the exterior wall (9) is made of metal. Relevant FIG.: 1.

233 citations

Journal ArticleDOI
TL;DR: In this article, the authors describe the application of mixtures of experts on gender and ethnic classification of human faces and pose classification, and show their feasibility on the FERET database of facial images.
Abstract: We describe the application of mixtures of experts on gender and ethnic classification of human faces, and pose classification, and show their feasibility on the FERET database of facial images. The mixture of experts is implemented using the "divide and conquer" modularity principle with respect to the granularity and/or the locality of information. The mixture of experts consists of ensembles of radial basis functions (RBFs). Inductive decision trees (DTs) and support vector machines (SVMs) implement the "gating network" components for deciding which of the experts should be used to determine the classification output and to restrict the support of the input space. Both the ensemble of RBF's (ERBF) and SVM use the RBF kernel ("expert") for gating the inputs. Our experimental results yield an average accuracy rate of 96% on gender classification and 92% on ethnic classification using the ERBF/DT approach from frontal face images, while the SVM yield 100% on pose classification.

233 citations

Patent
05 Nov 2002
TL;DR: In this article, a system and method for collecting, analyzing, and using sensory reactions and involuntary or spontaneous movements by members of a television viewing (or listening) audience is presented.
Abstract: A system and method for collecting, analyzing, and using sensory reactions and involuntary or spontaneous movements by members of a television viewing (or listening) audience. While known programming is displayed on a television receiver, a plurality of sensors monitor the viewer or viewers for recognizable evidence of an emotional response that can be associated with a discrete program segment. Where positive (or negative) responses can be associated with a certain type of program content, the system monitors subsequent programs for the opportunity to notify the viewer or simply present (or avoid presenting) the program automatically.

232 citations

Patent
30 May 2001
TL;DR: In this paper, the authors present a system for authoring and playing back lighting programs that include a plurality of lighting sequences for controlling the plurality of lights in a data format that represents a final data stream capable of directly controlling the lights.
Abstract: Systems and methods for authoring and playing back lighting programs that include a plurality of lighting sequences for controlling a plurality of lights. One aspect stores the lighting program in a data format that represents a final data stream capable of directly controlling the plurality of lights. Another aspect allows execution of the lighting program to be modified in response to external stimuli.

232 citations

Journal ArticleDOI
TL;DR: In this article, the authors demonstrate two demonstrated technologies for the fabrication of organic integrated circuits: the unipolar and complementary technology, which can be either evaporated or solution-processed.
Abstract: To date there are two demonstrated technologies for the fabrication of organic integrated circuits: the unipolar and the complementary technology. Unipolar architectures consist of p-channel organic field-effect transistors (OFETs), which are simple to fabricate since they require a single, high-workfunction metal (e.g., gold) and a single semiconductor material, which can be either evaporated or solution-processed.[1–4] Despite this great advantage, unipolar circuits have poor performance, exhibiting a narrow noise margin, low yield, and high power consumption.[2] In order to improve their performance, more sophisticated architectures are usually employed.[5] Although beneficial, such an approach increases circuit complexity by nearly 100 %. Complementary architectures, adopted from silicon microelectronics, solve this bottleneck by providing major advantages in circuit performance, including wide noise margin, robustness, and low power dissipation.[6,7] Unlike silicon technology, however, fabrication of discrete organic n- and p-channel transistors with lateral dimensions of a few micrometers, typically required for largescale integration, is still very challenging.

232 citations


Authors

Showing all 68268 results

NameH-indexPapersCitations
Mark Raymond Adams1471187135038
Dario R. Alessi13635474753
Mohammad Khaja Nazeeruddin12964685630
Sanjay Kumar120205282620
Mark W. Dewhirst11679757525
Carl G. Figdor11656652145
Mathias Fink11690051759
David B. Solit11446952340
Giulio Tononi11451158519
Jie Wu112153756708
Claire M. Fraser10835276292
Michael F. Berger10754052426
Nikolaus Schultz106297120240
Rolf Müller10490550027
Warren J. Manning10260638781
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20235
202239
2021898
20201,428
20191,665
20181,378