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.

The algebraic basis of mathematical morphology

Abstract: For pt.I see ibid., vol.50, p.245-295, 1990. In (Part I) the authors introduced and investigated an abstract algebraic framework for mathematical morphology. The main assumption is that the object space is a complete lattice. Of interest are all (increasing) operators which are invariant under a given abelian group of automorphisms on the lattice. In Part I the authors were mainly concerned with the basic operations dilation and erosion. In this paper they concentrate on openings and closings, which are very special classes of idempotent operators. Much attention is given to specific methods for building openings and closings in an economical way; in particular they study annular openings and inf-overfilters. They also consider the possibility of generating new openings by iteration of anti-extensive operators. Some examples illustrate the abstract theory.

Capacitance-voltage profiling and the characterisation of III-V semiconductors using electrolyte barriers

Abstract: This article is a personal review of the principles, capabilities, limitations and potential of the technique of electrochemical capacitance-voltage (C-V) carrier concentration profiling of compound semiconductors and the associated technique of photovoltage absorption spectroscopy. The profiling technique was developed by Ambridge and co-workers (1973-5, 1980) to overcome the depth limitation in depletion C-V profiling by using an electrolyte barrier to measure the carrier density and to etch the material in a controlled electrolytic process. The electrolyte also provides a transparent barrier which facilitates observation of absorption spectra, hence providing the added capability of band-gap profiling. The author summarises the basic principles of C-V profiling and analyses the balance between measurement accuracy and instrumental depth resolution, and considers the effect of series resistance. In reviewing the principles of electrochemical C-V profiling he pays particular attention to the electrolyte (Helmholtz) capacitance, the high electrolyte resistance and the definition of contact area. In considering these problems, and those of depth resolution and the influence of deep states, he takes account of the use of a fixed low reverse bias in electrochemical C-V profiling compared with an increasing bias in depletion profiling. The interpretation of photovoltage spectra from single layers and heterostructures is described and examples are given of band-gap profiling of laser structures. The article concludes with examples of the characterisation of multiple quantum-well structures including carrier density profiles and photovoltage spectra on structures with periods less than 200AA.

Ensemble of feature-based and deep learning-based classifiers for detection of abnormal heart sounds

Abstract: The goal of the 2016 PhysioNet/CinC Challenge is the development of an algorithm to classify normal/abnormal heart sounds. A total of 124 time-frequency features were extracted from the phonocardiogram (PCG) and input to a variant of the AdaBoost classifier. A second classifier using convolutional neural network (CNN) was trained using PCGs cardiac cycles decomposed into four frequency bands. The final decision rule to classify normal/abnormal heart sounds was based on an ensemble of classifiers combining the outputs of AdaBoost and the CNN. The algorithm was trained on a training dataset (normal= 2575, abnormal= 665) and evaluated on a blind test dataset. Our classifier ensemble approach obtained the highest score of the competition with a sensitivity, specificity, and overall score of 0.9424, 0.7781, and 0.8602, respectively.

Method of measuring the movement of an input device

Abstract: An optical input device for an apparatus, generating input signals by moving the device and an object (15) relative to each other and measuring the movement by means of the effects of self-mixing in a diode laser (3,5) and Doppler shift caused by the movement. For each measuring axis (X,Y,Z) radiation from a diode laser (3,5) is converged on a window (12) across which the object (15) moves Part of the radiation scattered by the object, whose frequency is Doppler-shifted due to the movement, re-enters the laser cavity (20) and causes a change in cavity properties. By measuring such a change, for example by means of a photo diode, information about the movement is obtained. As the input device is small and cheap, it can be used in a number of different consumer apparatus.