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Wyszukujesz frazę "Astapov, S" wg kryterium: Autor


Wyświetlanie 1-3 z 3
Tytuł:
A Multistage Procedure of Mobile Vehicle Acoustic Identification for Single-Sensor Embedded Device
Autorzy:
Astapov, S.
Riid, A.
Powiązania:
https://bibliotekanauki.pl/articles/227146.pdf
Data publikacji:
2013
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
vehicle identification
acoustic signal analysis
feature extraction
classification
fuzzy logic
Opis:
Mobile vehicle identification has a wide application field for both civilian and military uses. Vehicle identification may be achieved by incorporating single or multiple sensor solutions and through data fusion. This paper considers a single-sensor multistage hierarchical algorithm of acoustic signal analysis and pattern recognition for the identification of mobile vehicles in an open environment. The algorithm applies several standalone techniques to enable complex decision-making during event identification. Computationally inexpensive procedures are specifically chosen in order to provide real-time operation capability. The algorithm is tested on pre-recorded audio signals of civilian vehicles passing the measurement point and shows promising classification accuracy. Implementation on a specific embedded device is also presented and the capability of real-time operation on this device is demonstrated.
Źródło:
International Journal of Electronics and Telecommunications; 2013, 59, 2; 151-160
2300-1933
Pojawia się w:
International Journal of Electronics and Telecommunications
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Performing acoustic localization in a network of embedded smart sensors
Autorzy:
Astapov, S.
Ehala, J.
Preden, J.-S.
Powiązania:
https://bibliotekanauki.pl/articles/972986.pdf
Data publikacji:
2015
Wydawca:
Politechnika Łódzka. Wydział Mikroelektroniki i Informatyki
Tematy:
acoustic localization
Wireless Sensor Networks
Direction of Arrival
smart dust
distributed computing
lokalizacja akustyczna
bezprzewodowa sieć czujnikowa
kierunek przyjazdu
inteligentny pył
przetwarzanie rozproszone
Opis:
Situation awareness is an important aspect of ubiquitous computer systems, as these systems of systems are highly integrated with the physical world and for successful operation they must maintain high awareness of the environment. Acoustic information is one of the most popular modalities, by which the environment states are estimated. Multi-sensor approaches also provide the possibility for acoustic source localization. This paper considers an acoustic localization system of dual channel smart sensors interconnected through a Wireless Sensor Network (WSN). The low computational power of smart sensor devices requires distribution of localization tasks among WSN nodes. The Initial Search Region Reduction (ISRR) method is used in the WSN to meet this requirement. ISRR, as opposed to conventional localization methods, performs significantly less complex computations and does not require exchange of raw signal between nodes. The system is implemented on smart dust motes utilizing Atmel ATmega128RFA1 processors with integrated 2.4GHz IEEE 802.15.4 compliant radio transceivers. The paper discusses complications introduced by low power hardware and ad-hoc networking, and also reviews conditions of real-time operation.
Źródło:
International Journal of Microelectronics and Computer Science; 2015, 6, 3; 86-95
2080-8755
2353-9607
Pojawia się w:
International Journal of Microelectronics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Optimized Acoustic Localization with SRP-PHAT for Monitoring in Distributed Sensor Networks
Autorzy:
Astapov, S.
Berdnikova, J.
Preden, J.-S.
Powiązania:
https://bibliotekanauki.pl/articles/226808.pdf
Data publikacji:
2013
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
acoustic localization
wireless sensor networks
direction of arrival
multilateration
SRP-PHAT
Opis:
Acoustic localization by means of sensor arrays has a variety of applications, from conference telephony to environment monitoring. Many of these tasks are appealing for implementation on embedded systems, however large dataflows and computational complexity of multi-channel signal processing impede the development of such systems. This paper proposes a method of acoustic localization targeted for distributed systems, such as Wireless Sensor Networks (WSN). The method builds on an optimized localization algorithm of Steered Response Power with Phase Transform (SRP-PHAT) and simplifies it further by reducing the initial search region, in which the sound source is contained. The sensor array is partitioned into sub-blocks, which may be implemented as independent nodes of WSN. For the region reduction two approaches are handled. One is based on Direction of Arrival estimation and the other – on multilateration. Both approaches are tested on real signals for speaker localization and industrial machinery monitoring applications. Experiment results indicate the method’s potency in both these tasks.
Źródło:
International Journal of Electronics and Telecommunications; 2013, 59, 4; 383-390
2300-1933
Pojawia się w:
International Journal of Electronics and Telecommunications
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-3 z 3

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