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.

Attention-Based Ensemble for Deep Metric Learning

Abstract: Deep metric learning aims to learn an embedding function, modeled as deep neural network. This embedding function usually puts semantically similar images close while dissimilar images far from each other in the learned embedding space. Recently, ensemble has been applied to deep metric learning to yield state-of-the-art results. As one important aspect of ensemble, the learners should be diverse in their feature embeddings. To this end, we propose an attention-based ensemble, which uses multiple attention masks, so that each learner can attend to different parts of the object. We also propose a divergence loss, which encourages diversity among the learners. The proposed method is applied to the standard benchmarks of deep metric learning and experimental results show that it outperforms the state-of-the-art methods by a significant margin on image retrieval tasks.

Human Detection Using Doppler Radar Based on Physical Characteristics of Targets

Abstract: In this letter, we propose a method for detecting a human subject using Doppler radar by investigating the physical characteristics of targets. Human detection has a number of applications in security, surveillance, and search-and-rescue operations. To classify a target from the Doppler signal, several features related to the physical characteristics of a target are extracted from a spectrogram. The features include the frequency of the limb motion, stride, bandwidth of the Doppler signal, and distribution of the signal strength in a spectrogram. The main contribution of this letter is the use of stride information of a target for the classification. Owing to the different lengths of legs and kinematic signatures of the target species, a human subject occupies a unique space in the domain of the stride and the frequency of limb motion. To verify the proposed method, we investigated humans, dogs, bicycles, and vehicles using the developed continuous-wave Doppler radar. The human subject is identified by a classifier of a support vector machine (SVM) trained to the extracted features. The trained SVM can detect a human subject with an accuracy of 96% with fourfold cross validation.

Method of forming a layer and method of forming a capacitor of a semiconductor device having the same

Abstract: In a method of forming a layer using an atomic layer deposition process, after a substrate is loaded into a chamber, a reactant is provided onto the substrate to form a preliminary layer. Atoms in the preliminary layer are partially removed from the preliminary layer using plasma formed from an inert gas such as an argon gas, a xenon gas or a krypton gas, or an inactive gas such as an oxygen gas, a nitrogen gas or a nitrous oxide gas to form a desired layer. Processes for forming the desired layer may be simplified. A highly integrated semiconductor device having improved reliability may be economically manufactured so that time and costs required for the manufacturing of the semiconductor device may be reduced.

SLAW: self-similar least-action human walk

Abstract: Many empirical studies of human walks have reported that there exist fundamental statistical features commonly appearing in mobility traces taken in various mobility settings. These include: 1) heavy-tail flight and pause-time distributions; 2) heterogeneously bounded mobility areas of individuals; and 3) truncated power-law intercontact times. This paper reports two additional such features: a) The destinations of people (or we say waypoints) are dispersed in a self-similar manner; and b) people are more likely to choose a destination closer to its current waypoint. These features are known to be influential to the performance of human-assisted mobility networks. The main contribution of this paper is to present a mobility model called Self-similar Least-Action Walk (SLAW) that can produce synthetic mobility traces containing all the five statistical features in various mobility settings including user-created virtual ones for which no empirical information is available. Creating synthetic traces for virtual environments is important for the performance evaluation of mobile networks as network designers test their networks in many diverse network settings. A performance study of mobile routing protocols on top of synthetic traces created by SLAW shows that SLAW brings out the unique performance features of various routing protocols.

Thermally stable magnetic element utilizing spin transfer and an mram device using the magnetic element

Abstract: A method and system for providing a magnetic element (120) capable of being written using spin-transfer effect while being thermally stable and a magnetic memory using the magnetic element (120) disclosed. The magnetic element (120) includes a first (128), second (132) and third (136) pinned layers, first (130) and second (134) nonmagnetic layers, a free layer (140) and a nonmagnetic spacer layer (138). The first (128), second (132) and third (136) pinned layers are ferromagnetic and have first, second and third magnetizations pinned in first, second and third directions. The first (130) and second (134) nonmagnetic layers include first and second diffusions barriers, respectively. The first (130) and second (134) nonmagnetic layers are between the first (128) and second (132) pinned layers and the second (132) and third (136) pinned layers, respectively. The first (128) and second (132) pinned layers and the second (132) and third (136) pinned layers are antiferromagnetically coupled. The nonmagnetic spacer layer (138) is conductive and resides between the free layer (140) and the third pinned layer (136). In addition, performance can be further improved by doping Co containing ferromagnetic layers with Cr and/or Pt.