scholarly journals СИСТЕМА ЗАЩИЩЕННОГО ГОЛОСОВОГО УПРАВЛЕНИЯ БЕСПИЛОТНЫМ ЛЕТАТЕЛЬНЫМ АППАРАТОМ

2018 ◽  
pp. 4-11
Author(s):  
Александр Юрьевич Лавриненко ◽  
Юрий Анатольевич Кочергин ◽  
Георгий Филимонович Конахович
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Mobile Communications ◽  
Radio Channel ◽  
Minimum Variance ◽  
Control Functions ◽  
Voice Control ◽  
Aerial Vehicle ◽  
Successive Substitution ◽  
Legal Subjects ◽  
The Voice

The article proposes and investigates the system of protected voice radio control by the functions of an unmanned aerial vehicle, which is based on the first developed method of secure transmission of voice commands of radio control and the idea of voice authentication of legal subjects of management, where only the voice radio channel is used to transmit control information, thereby allowing the system to be implemented in existing voice radio systems, where on the betraying side is the subject of control, and as a receiver an unmanned aerial vehicle that performs the spoken voice commands. The proposed idea makes it possible to significantly complicate the struggle of malefactors with this kind of systems, since the frequencies at which the voice mobile radio is operating are in common use, and means fighting with this kind of systems will result in the failure of public voice mobile communications. The system of protected voice control of an unmanned aerial vehicle makes it possible to ensure sufficient confidentiality of the transmitted voice commands from the interception of information with the purpose of illegally capturing or destroying an unmanned aerial vehicle throughout the flight. For the first time, the method of voice authentication of legal subjects of management based on the idea of successive substitution of the authentication parameters of the control subject for each subsequent voice command on the authentication parameters from the database, the sequence of which was performed before the flight in a pseudorandom manner and synchronized. The expediency of using the presented system of protected voice radio control functions of an unmanned aerial vehicle is substantiated and experimentally proved. The results of automatic recognition of voice control commands are evaluated using a classifier constructed using the minimum distance criterion, where the decision on the positive identification of voice commands is made by the criterion of a minimum variance in a given threshold of acceptable recognition. The obtained results of experimental research allow to draw a conclusion about the expediency of further practical application of the presented system of protected voice radio control by the functions of an unmanned aerial vehicle

scholarly journals Design and Fabrication of Voice Controlled Unmanned Aerial Vehicle

2016 ◽  
Vol 5 (3) ◽  
pp. 205
Author(s):  
S. Sakthi Anand ◽  
R. Mathiyazaghan
Keyword(s):  
Control System ◽  
Unmanned Aerial Vehicles ◽  
Unmanned Aerial Vehicle ◽  
Voice Recognition ◽  
Search And Rescue ◽  
Voice Input ◽  
Recognition Process ◽  
Aerial Vehicles ◽  
Aerial Vehicle ◽  
The Voice

<p class="Default">Unmanned Aerial Vehicles have gained well known attention in recent years for a numerous applications such as military, civilian surveillance operations as well as search and rescue missions. The UAVs are not controlled by professional pilots and users have less aviation experience. Therefore it seems to be purposeful to simplify the process of aircraft controlling. The objective is to design, fabricate and implement an unmanned aerial vehicle which is controlled by means of voice recognition. In the proposed system, voice commands are given to the quadcopter to control it autonomously. This system is navigated by the voice input. The control system responds to the voice input by voice recognition process and corresponding algorithms make the motors to run at specified speeds which controls the direction of the quadcopter.</p>

scholarly journals СИСТЕМА РАСПОЗНАВАНИЯ СТЕГАНОГРАФИЧЕСКИ-ПРЕОБРАЗОВАННЫХ ГОЛОСОВЫХ КОМАНД УПРАВЛЕНИЯ БПЛА

2018 ◽  
pp. 20-28
Author(s):  
Александр Юрьевич Лавриненко ◽  
Юрий Анатольевич Кочергин ◽  
Георгий Филимонович Конахович
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Vehicle Control ◽  
Mel Frequency Cepstral Coefficients ◽  
Control Information ◽  
Cepstral Analysis ◽  
Voice Control ◽  
Aerial Vehicle ◽  
Cepstral Coefficients ◽  
The Difference ◽  
The Mathematical Model

It is created the system of recognition the steganographic-transformed voice commands of unmanned aerial vehicle control based on a cepstral analysis. It provides effective recognition and hidden commands transmission of to the board of an unmanned aerial vehicle, by converting voice control commands into a kind of steganographic characteristics vector, which implies the concealment of voice control information of an unmanned aerial vehicle. The mathematical model of the algorithm for calculating the mel-frequency cepstral coefficients and the recognition classifier of voice control commands for the solution of the problem of semantic identification and securing the control information of the unmanned aerial vehicle in the communication channel is synthesized. A software package has been developed that includes tools for compiling the base of reference voice images of subjects of management for training and testing the system for recognizing steganographic-transformed voice commands of the unmanned aerial vehicle control based on the cepstral analysis and computer models of the proposed methods and algorithms for recognition voice control commands in the MATLAB environment. The expediency of applying the proposed system for recognizing steganographic-transformed voice commands of the unmanned aerial vehicle control based on a cepstral analysis is substantiated and experimentally proved. An algorithm is presented for calculating the mel-frequency cepstral coefficients that appear in the role of the main features of recognition and the result of the steganographic transformation of speech, where for the evaluation of automatic recognition of voice commands using the results of classifier constructed by the criterion of minimum distance in the role which acts as the variance of the difference of the expectation of a mel-frequency cepstral coefficients. The obtained results of the experimental research allow to draw a conclusion about the expediency of further practical application of the developed system of recognition the steganographic-transformed voice commands of the unmanned aerial vehicle control based on the cepstral analysis

scholarly journals PROTECTED VOICE CONTROL SYSTEM OF UNMANNED AERIAL VEHICLE

2020 ◽  
Vol 1 (63) ◽  
Author(s):  
O. Y. Lavrynenko ◽  
G. F. Konakhovych ◽  
D. I. Bakhtiiarov
Keyword(s):  
Control System ◽  
Unmanned Aerial Vehicle ◽  
Voice Control ◽  
Aerial Vehicle

scholarly journals Unmanned Aerial Vehicle Control through Domain-Based Automatic Speech Recognition

Computers ◽  
2020 ◽  
Vol 9 (3) ◽  
pp. 75 ◽  
Author(s):  
Ruben Contreras ◽  
Angel Ayala ◽  
Francisco Cruz
Keyword(s):  
Speech Recognition ◽  
Unmanned Aerial Vehicle ◽  
Mother Tongue ◽  
Communication Interface ◽  
Noisy Input ◽  
Input Signals ◽  
Aerial Vehicle ◽  
Control Devices ◽  
Tactile Interfaces ◽  
The Voice

Currently, unmanned aerial vehicles, such as drones, are becoming a part of our lives and extend to many areas of society, including the industrialized world. A common alternative for controlling the movements and actions of the drone is through unwired tactile interfaces, for which different remote control devices are used. However, control through such devices is not a natural, human-like communication interface, which sometimes is difficult to master for some users. In this research, we experimented with a domain-based speech recognition architecture to effectively control an unmanned aerial vehicle such as a drone. The drone control was performed in a more natural, human-like way to communicate the instructions. Moreover, we implemented an algorithm for command interpretation using both Spanish and English languages, as well as to control the movements of the drone in a simulated domestic environment. We conducted experiments involving participants giving voice commands to the drone in both languages in order to compare the effectiveness of each, considering the mother tongue of the participants in the experiment. Additionally, different levels of distortion were applied to the voice commands to test the proposed approach when it encountered noisy input signals. The results obtained showed that the unmanned aerial vehicle was capable of interpreting user voice instructions. Speech-to-action recognition improved for both languages with phoneme matching in comparison to only using the cloud-based algorithm without domain-based instructions. Using raw audio inputs, the cloud-based approach achieves 74.81% and 97.04% accuracy for English and Spanish instructions, respectively. However, with our phoneme matching approach the results are improved, yielding 93.33% accuracy for English and 100.00% accuracy for Spanish.

Study on Fault Diagnosis of Planetary Gearbox in Unmanned Aerial Vehicle Using Multi sensor Data

2020 ◽  
Vol 20 (4) ◽  
pp. 332-342
Author(s):  
Hyung Jun Park ◽  
Seong Hee Cho ◽  
Kyung-Hwan Jang ◽  
Jin-Woon Seol ◽  
Byung-Gi Kwon ◽  
...  
Keyword(s):  
Fault Diagnosis ◽  
Unmanned Aerial Vehicle ◽  
Sensor Data ◽  
Planetary Gearbox ◽  
Aerial Vehicle

Results of Spatial Structure of Atmosphere Radiation in a Spectral Range (1.5–2) µm Research

2018 ◽  
pp. 7-13
Author(s):  
Anton M. Mishchenko ◽  
Sergei S. Rachkovsky ◽  
Vladimir A. Smolin ◽  
Igor V . Yakimenko
Keyword(s):  
Spatial Structure ◽  
Unmanned Aerial Vehicle ◽  
Wavelength Range ◽  
Spectral Range ◽  
Near Ir ◽  
Optoelectronic Systems ◽  
Aerial Vehicle

Results of experimental studying radiation spatial structure of atmosphere background nonuniformities and of an unmanned aerial vehicle being the detection object are presented. The question on a possibility of its detection using optoelectronic systems against the background of a cloudy field in the near IR wavelength range is also considered.

Positioning the Angle of Attack Sensor on an Unmanned Aerial Vehicle Wing

2016 ◽  
Vol 3 (1) ◽  
pp. 25-33
Author(s):  
Amir Birjandi ◽  
◽  
Valentin Guerry ◽  
Eric Bibeau ◽  
Hamidreza Bolandhemmat ◽  
...  
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Angle Of Attack ◽  
Aerial Vehicle
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