به نام خدا
Title: Bluetooth Positioning using RSSI and Triangulation Methods
Authors: Yapeng Wang, Xu Yang Yutian Zhao
Abstract: Location based services are the hottest applications on mobile devices nowadays and the growth is continuing. Indoor wireless positioning is the key technology to enable location based services to work well indoors, where GPS normally could not work. Bluetooth has been widely used in mobile devices like phone, PAD etc. therefore Bluetooth based indoor positioning has great market potential. Radio Signal Strength (RSS) is a key parameter for wireless positioning. New Bluetooth standard (since version 2.1) enables RSS to be discovered without time consuming pre-connection. In this research, general wireless positioning technologies are firstly analysed. Then RSS based Bluetooth positioning using the new feature is studied. The mathematical model is established to analyse the relation between RSS and the distance between two Bluetooth devices. Three distance-based algorithms are used for Bluetooth positioning: Least Square Estimation, Three-border and Centroid Method. Comparison results are analysed and the ways to improve the positioning accuracy are discussed.
Publish Year: 2013
Published in: CCNC - IEEE
Number of Pages: 6
موضوع: بلوتوث
ایران سای – مرجع مقالات علمی فنی مهندسی
حامی دانش بومی ایرانیان
به نام خدا
Title: Electron repulsion integrals for self-energy calculations
Authors: Y Pavlyukh , J Berakdar
Abstract: A fast algorithm for the calculation of the electron repulsion integrals in an atomic basis is a prerequisite of any ab initio quantum chemistry method. Unlike the case of a self-consistent field (SCF) approach, correlated methods often require a full or partial integral transformation to the molecular basis. The run- time of such an algorithm scales unfavorably as O(N ? where N ? is the number of the basis function, and additionally poses high requirements on the computer memory. The problem is aggravated in the case of large highly symmetric molecules which can only be modeled by fully taking the symmetry into account (as was recently demonstrated by us in J. Chem. Phys. 135 (2011) 201103). Wedescribe here the algorithm for the calculation of the electron repulsion integrals, the transformation and their use in the correlated Green s function approach for systems with icosahedral symmetry.
Publish Year: 2013
Published in: Computer Physics Communications - Science Direct
Number of Pages: 9
موضوع: فیزیک
ایران سای – مرجع مقالات علمی فنی مهندسی
حامی دانش بومی ایرانیان
به نام خدا
Title: Clustering via geometric median shift over Riemannian manifolds
Authors: Yang Wang, Xiaodi Huang, Lin Wu
Abstract: The mean shift algorithms have been successfully applied to many areas, such as data clustering, feature analysis, and image segmentation. However, they still have two limitations. One is that they are ineffective in clustering data with low dimensional manifolds because of the use of the Euclidean distance for calculating distances. The other is that they some- times produce poor results for data clustering and image segmentation. This is because a mean may not be a point in a data set. In order to overcome the two limitations, we pro- pose a novel approach for the median shift over Riemannian manifolds that uses the geo- metric median and geodesic distances. Unlike the mean, the geometric median of a data set is one of points in the set. Compared to the Euclidean distance, the geodesic distances can better describe data points distributed on Riemannian manifolds. Based on these two facts, we first present a novel density function that characterizes points on a manifold with the geodesic distance. The shift of the geometric median over the Riemannian manifold is derived from maximizing this density function. After this, we present an algorithm for geo- metric median shift over Riemannian manifolds, together with theoretical proofs of its cor- rectness. Extensive experiments have demonstrated that our method outperforms the state-of-the-art algorithms in data clustering, image segmentation, and noise filtering on both synthetic data sets and real image databases.
Publish Year: 2013
Published in: Information Sciences - Science Direct
Number of Pages: 14
موضوع: منیفولد (Manifold )
ایران سای – مرجع مقالات علمی فنی مهندسی
حامی دانش بومی ایرانیان
به نام خدا
Title: Integration of Face Recognition and Sound Localization for a Smart Door Phone System
Authors: Taewan Kim, Hyungsoo Park, and Yunmo Chung
Abstract: This paper proposes a smart system using both face recognition and sound localization techniques to identify the faces of visitors from a door phone in much efficient and accurate ways. This system is effectively used to recognize the faces when their locations are out of the boundaries of the camera scope of the door phone. The smart door phone system proposed in this paper uses a visitor’s voice source to rotate the camera to his face and then to recognize the face accurately. The integrated system has been designed with one FPGA(Field Programmable Gate Array) chip and tested for actual use in door phone environments.
Publish Year: 2013
Published in: ICCE - IEEE
Number of Pages: 2
موضوع: تشخصی چهره و صدا
ایران سای – مرجع مقالات علمی فنی مهندسی
حامی دانش بومی ایرانیان
به نام خدا
Title: Design of a Mastering System for Digital Cinema
Authors: Yeonjeong Jeong, Bumho Kim, Kisong Y oon
Abstract: Digital Cinema Initiatives released a set of technical specifications and requirements for Digital Cinema. The mastering system of digital cinema produces the Digital Cinema Package (DCP) which has been designed to deliver digital cinema contents such as image, audio and subtitle between Digital Cinema content processing centers. We propose a mastering system that covers the packaging process of DCP for Digital Cinema content and protection of it.
Publish Year: 2013
Published in: ICACT - IEEE
Number of Pages: 5
موضوع: سینمای دیجیتال
ایران سای – مرجع مقالات علمی فنی مهندسی
حامی دانش بومی ایرانیان
