Road transport and traffic telematics. Automatic vehicle and equipment identification. System specification

2000 ◽  
Transport ◽  
2007 ◽  
Vol 22 (1) ◽  
pp. 55-60 ◽  
Author(s):  
Nijolė Batarlienė ◽  
Adolfas Baublys

The article dwells on the aspects of mobile solutions of public information and transport. The work presents major decision making principles based on object positioning and a system of positioning‐based GSM solutions. The newly developed remote identification systems for transport facilities and goods and passenger transport and their schematic view are presented. The main units of the remote identification system of vehicles and goods embrace: TI portal, TVIM portal, content control system (SMS, GPRS), mobile phone, the unit for stating the geographical position of vehicles and goods. Portals are designed so that the data provided by various systems of observation, such as GSM, GPS, WLAN, wireless internet, etc., can be used there. Portals (TI and TVIM) can also be used for testing, complex evaluation of monitoring functions as well as for providing the data on geographical location of objects, transmitting data to mobile telephones, etc. Purposes and functions of the portals are presented. The article describes the facility of implementing the mobile user concept, changes made in the portal pages to support the mobile users.


2020 ◽  
pp. 65-72
Author(s):  
V. V. Savchenko ◽  
A. V. Savchenko

This paper is devoted to the presence of distortions in a speech signal transmitted over a communication channel to a biometric system during voice-based remote identification. We propose to preliminary correct the frequency spectrum of the received signal based on the pre-distortion principle. Taking into account a priori uncertainty, a new information indicator of speech signal distortions and a method for measuring it in conditions of small samples of observations are proposed. An example of fast practical implementation of the method based on a parametric spectral analysis algorithm is considered. Experimental results of our approach are provided for three different versions of communication channel. It is shown that the usage of the proposed method makes it possible to transform the initially distorted speech signal into compliance on the registered voice template by using acceptable information discrimination criterion. It is demonstrated that our approach may be used in existing biometric systems and technologies of speaker identification.


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