A Robust Statistical-based Speaker's Location Detection Algorithm in a Vehicular Environment

2006 ◽  
Author(s):  
Jwu-Sheng Hu ◽  
Chieh-Cheng Cheng ◽  
Wei-Han Liu ◽  
Chia-Hsing Yang
Keyword(s):  
Detection Algorithm ◽  
Location Detection

scholarly journals Research on Position Detection Algorithm of Switched Reluctance Motor Based on FPGA

2018 ◽  
Vol 173 ◽  
pp. 02036
Author(s):  
Xu Gang
Keyword(s):  
High Speed ◽  
Implementation Process ◽  
Detection Algorithm ◽  
Experimental Simulation ◽  
Logic Device ◽  
Program Module ◽  
Switched Reluctance ◽  
Position Detection ◽  
Reluctance Motor ◽  
Location Detection

In this paper, the Cyclone series programmable logic device (FPGA) is used to implement the location detection algorithm. The implementation process requires that the storage space be occupied as small as possible, fast, and less occupied by CPU resources. High speed A/D is used for signal detection conversion. Pipeline optimization technology is adopted to improve working speed. Program module and top layer file is compiled. Experimental simulation verifies the effectiveness and real time of the algorithm.

A robust location detection algorithm for organs in three dimensional medical images

2005 ◽  
Vol 1281 ◽  
pp. 1273
Author(s):  
Cong Yao ◽  
Akinobu Shimizu ◽  
Xuebin Hu ◽  
Hidefumi Kobatake
Keyword(s):  
Medical Images ◽  
Three Dimensional ◽  
Detection Algorithm ◽  
Location Detection

An Internal Damage Real-Time Monitoring System Using CFRP-OFBG Plates

2020 ◽  
Vol 846 ◽  
pp. 47-52
Author(s):  
Jun Zhao ◽  
Peng Fei Liu ◽  
Yi Yi Xu
Keyword(s):  
Real Time ◽  
Composite Structures ◽  
Detection Algorithm ◽  
Fiber Reinforced Polymer ◽  
Fiber Optic Sensor ◽  
Internal Damage ◽  
Structural Reinforcement ◽  
Reinforced Polymer ◽  
Cfrp Composite ◽  
Location Detection

Composite material brings many challenges in structural health monitoring (SHM), especially in internal damage detecting. CFRP-OFBG, using Optical Fiber Bragg Grating (OFBG) sensors embedded in Carbon Fiber Reinforced Polymer (CFRP) composite structures, has been widely used in the field of structural reinforcement with smart sensing features. This work developed a real-time monitor system to detect internal damage by using dense arrayed fiber-optic sensor embedded in CFRP-OFBG. A classical triangulation procedure is selected and improved in damage location detection algorithm. Experimental results showed this design is an efficient and lightweight system in detecting internal damage for CFRP-OFBG materials.

Line Intersection Algorithm for the Enhanced TOA Trilateration Technique

2014 ◽  
Vol 11 (04) ◽  
pp. 1442003 ◽  
Author(s):  
Sajina Pradhan ◽  
Suk-Seung Hwang ◽  
Hyun-Rok Cha ◽  
Young-Chul Bae
Keyword(s):  
Mobile Station ◽  
Detection Algorithm ◽  
Intersection Point ◽  
Location Based Services ◽  
Base Stations ◽  
Time Of Arrival ◽  
True Location ◽  
Intersection Algorithm ◽  
Location Detection ◽  
Intersection Points

The location determination technology (LDT) is one of the core techniques for the location-based services (LBS) which has various applications, including a mobile robot, for the modern wireless communication system. The time of arrival (TOA), which is a kind of LDTs based on the cellular network, estimates the location of the specific user or object using a trilateration method based on the received signals from three base stations (BS). The true location of a mobile station (MS) is determined based on an intersection point of three circles with the radius corresponding to the distance between each BS to MS. Since the TOA method estimates the distance between BS and MS using the number of time delay, these three circles should not generally meet at a point and the performance of the location detection should be degraded in this case. In order to overcome this problem, we propose the mobile location detection algorithm based on a line intersection of the TOA geometry. In the case of those three circles do not meet at a point; in general, there are six intersection points and three lines which connect two intersection points. In this paper, we determine an intersection point of three lines as the location of a MS. The computer simulation example is provided to illustrate the location detection performance of the proposed algorithm.

Quantifying Information Dissemination Rate during Crisis and Location Detection Using Online Social Streams

2021 ◽  
Author(s):  
Bhuvaneswari A
Keyword(s):  
Event Detection ◽  
Information Dissemination ◽  
Density Ratio ◽  
Detection Algorithm ◽  
Change Point Detection ◽  
Detection Accuracy ◽  
Communication Tool ◽  
Online Social Media ◽  
Location Detection ◽  
Quantification Model

Abstract The widespread practice of Online Social Networking leads to the diffusion of trending information and exchanging various opinions with socially connected people online. Social media steams data extracted from Social Networks has become a vital communication tool and also turn up as an eventual informative platform to catch real human voices at the time of emergency events like disaster. An effective underlying quantification model is proposed in this paper which uses change point detection algorithm to detect events based on the relative streaming tweet density - ratio respectively. A morphological time-series analysis is carried out determine the dissemination of information about crisis events using Information Entropy. Further, the Event - Link ratio (ELR) is estimated to obtain meaningful patterns in events been identified. This paper focus to empirically quantify the information dissemination of the events based on user's tweeting activities. The proposed quantification method is compared with state-of-art techniques in terms of event detection rate, the entropy of information spread. It is found that the accuracy of the proposed method is up to 94% with event detection after 75 seconds. K-Center Clustering (KCC) is used which results in the location detection accuracy of 85%.

scholarly journals Appearance of inaccurate results in the MUSIC algorithm with inappropriate wavenumber

2017 ◽  
Vol 25 (6) ◽  
Author(s):  
Won-Kwang Park
Keyword(s):  
Numerical Simulations ◽  
Bessel Functions ◽  
Noisy Data ◽  
Detection Algorithm ◽  
Signal Classification ◽  
Music Algorithm ◽  
Order Zero ◽  
Scattering Problems ◽  
Multiple Signal Classification ◽  
Location Detection

AbstractMUltiple SIgnal Classification (MUSIC) is a well-known non-iterative location detection algorithm for small, perfectly conducting cracks in inverse scattering problems. However, when the applied wavenumbers are unknown, inaccurate locations of targets are extracted by MUSIC with inappropriate wavenumbers, a fact that has been confirmed by numerical simulations. To date, the reason behind this phenomenon has not been theoretically investigated. Motivated by this fact, we identify the structure of MUSIC-type imaging functionals with inappropriate wavenumbers by establishing a relationship with Bessel functions of order zero of the first kind. This result explains the reasons for inaccurate results. Various results of numerical simulations with noisy data support the identified structure of MUSIC.

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