Osram

About: Osram is a company organization based out in Wilmington, Massachusetts, United States. It is known for research contribution in the topics: Gas-discharge lamp & Signal. The organization has 1539 authors who have published 1679 publications receiving 8464 citations. The organization is also known as: Osram.

Light-radiating semiconductor component with a luminescence conversion element

Abstract: The light-radiating semiconductor component has a radiation-emitting semiconductor body and a luminescence conversion element. The semiconductor body emits radiation in the ultraviolet, blue and/or green spectral region and the luminescence conversion element converts a portion of the radiation into radiation of a longer wavelength. This makes it possible to produce light-emitting diodes which radiate polychromatic light, in particular white light, with only a single light-emitting semiconductor body. A particularly preferred luminescence conversion dye is YAG:Ce.

Thermally efficient led bulb

Abstract: A solid-state light source 10 compatible with existing sockets normally reserved for filamented lamps may be formed with a hollow base 12 formed to mechanically and electrically adapt to a socket. A sub-assembly 14 adapted to cooperate with and fit into the hollow base 12 comprises a metal core 16 having a bulbous body 18 and a narrow, depending foot 20. A circuit board 22 substantially surrounds the metal core 16 on two sides. The board 22 is preferably formed from a flexible printed circuit board material capable of sustaining a bend radius of at least 0.25 inches (6 mm). Solid-state light sources 30, for example, light emitting diodes (LEDs) are mechanically and electrically connected to one side of the circuit board by suitable electrically conductive traces. A glass dome 34 covers the sub-assembly 14 after it is inserted into the hollow base 12 and is sealed thereto.

Spectroscopic detection and state preparation of a single praseodymium ion in a crystal

Abstract: So far, high-resolution spectroscopy of single ions has been limited to electromagnetic traps in vacuum. Utikal et al. show that the combination of cryogenic laser spectroscopy and optical microscopy allows individual addressing, preparation and readout of praseodymium ions in Y2SiO5 crystals.

Optical semiconductor device comprising a multiple quantum well structure

Abstract: The invention relates to an optical semiconductor device comprising a multiple quantum well structure, in which well layers and barrier layers consisting of different types of semiconductor layers are stacked alternately on top of one another. The invention is characterised in that the well layers (6a) have a first composition, based on a nitride semiconductor material with a first electron energy and the barrier layers (6b) have a second composition based on a nitride semiconductor material with a higher electron energy in relation to the first electron energy. An active radiative quantum well layer (6c) is located downstream of said layers in the epitaxial direction and the essentially non-radiative well layers (6a) positioned upstream, together with the barrier layers (6b) form a superlattice for said active quantum well layer.

MX-LSTM: Mixing Tracklets and Vislets to Jointly Forecast Trajectories and Head Poses

Abstract: Recent approaches on trajectory forecasting use tracklets to predict the future positions of pedestrians exploiting Long Short Term Memory (LSTM) architectures. This paper shows that adding vislets, that is, short sequences of head pose estimations, allows to increase significantly the trajectory forecasting performance. We then propose to use vislets in a novel framework called MX-LSTM, capturing the interplay between tracklets and vislets thanks to a joint unconstrained optimization of full covariance matrices during the LSTM backpropagation. At the same time, MX-LSTM predicts the future head poses, increasing the standard capabilities of the long-term trajectory forecasting approaches. With standard head pose estimators and an attentional-based social pooling, MX-LSTM scores the new trajectory forecasting state-of-the-art in all the considered datasets (Zara01, Zara02, UCY, and TownCentre) with a dramatic margin when the pedestrians slow down, a case where most of the forecasting approaches struggle to provide an accurate solution.