Samsung

About: Samsung is a company organization based out in Seoul, South Korea. It is known for research contribution in the topics: Layer (electronics) & Signal. The organization has 134067 authors who have published 163691 publications receiving 2057505 citations. The organization is also known as: Samsung Group & Samsung chaebol.

In-line mediation for manipulating three-dimensional content on a display device

Abstract: A user holds the mobile device upright or sits in front of a nomadic or stationary device, views the monitor from a suitable distance, and physically reaches behind the device with her hand to manipulate a 3D object displayed on the monitor. The device functions as a 3D in-line mediator that provides visual coherency to the user when she reaches behind the device to use hand gestures and movements to manipulate a perceived object behind the device and sees that the 3D object on the display is being manipulated. The perceived object that the user manipulates behind the device with bare hands corresponds to the 3D object displayed on the device. The visual coherency arises from the alignment of the user's head or eyes, the device, and the 3D object. The user's hand may be represented as an image of the actual hand or as a virtualized representation of the hand, such as part of an avatar.

Structural Changes of LiMn2 O 4 Spinel Electrodes during Electrochemical Cycling

Abstract: Structural changes of LiMn{sub 2}O{sub 4} spinel electrodes have been investigated in 4 V Li/Li{sub x}Mn{sub 2}O{sub 4} cells by X-ray diffraction during prolonged electrochemical cycling between 4.5 and 3.4 V at room temperature. The capacity fade that is observed during cycling is attributed, at least partly, to disproportionation reactions at the particle surface of discharged Li{sub x}Mn{sub 2}O{sub 4} electrodes, resulting in a soluble MnO component. The disproportionation reactions are described with respect to the Li-Mn-O phase diagram. The data support recent reports that Li{sub 2}Mn{sub 2}O{sub 4} can be formed at the electrode surface slightly above 3 V when cells are discharged and charged at high rates.

Wireless charging control method and apparatus in wireless power transmission system

Abstract: The present disclosure provides a wireless charging control method. The wireless charging control method in an apparatus having a wireless power reception module, includes sensing an event in a wireless charging mode, determining whether the sensed event is a predetermined wireless-charging indirect-associated event, when the sensed event is a predetermined wireless-charging indirect-associated event, identifying a wireless charging operation corresponding to the wireless-charging indirect-associated event and controlling wireless charging according to the identified wireless charging operation.

Fused DNN: A deep neural network fusion approach to fast and robust pedestrian detection

Abstract: We propose a deep neural network fusion architecture for fast and robust pedestrian detection. The proposed network fusion architecture allows for parallel processing of multiple networks for speed. A single shot deep convolutional network is trained as a object detector to generate all possible pedestrian candidates of different sizes and occlusions. This network outputs a large variety of pedestrian candidates to cover the majority of ground-truth pedestrians while also introducing a large number of false positives. Next, multiple deep neural networks are used in parallel for further refinement of these pedestrian candidates. We introduce a soft-rejection based network fusion method to fuse the soft metrics from all networks together to generate the final confidence scores. Our method performs better than existing state-of-the-arts, especially when detecting small-size and occluded pedestrians. Furthermore, we propose a method for integrating pixel-wise semantic segmentation network into the network fusion architecture as a reinforcement to the pedestrian detector. The approach outperforms state-of-the-art methods on most protocols on Caltech Pedestrian dataset, with significant boosts on several protocols. It is also faster than all other methods.