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A New Method Investigation for Robotic Inverted Pendulum Movement and Control

Dec 12, 2023

Journal: Journal Europeen des Systemes Automatises 6 (56)

DOI: 10.18280/jesa.560616

The integration of sensor fusion techniques has played a crucial role in the advancement of the contemporary robot applications era. This is primarily due to the fact that numerous robot applications heavily rely on the amalgamation of data from multiple sensors, which capture information from the immediate surroundings. Examples of such applications include interactive virtual reality games, navi...
A New Method to Road Traffic Monitoring Using Artificial Systems

Sep 29, 2023

Journal: AIP Conference Proceedings 1 (2839)

DOI: 10.1063/5.0167689

Unmanned aerial vehicles (UAVs) are used in this research to demonstrate a method to traffic monitoring based on automated UAV situation management. Analysis of current techniques of on-board automated detection of abnormal traffic conditions and emergency using artificial vision systems (AVS) is part of the investigation, which also involves preliminary categorization of these events, including t...
Neural Network-Directed Detection and Localization of Faults in Railway Track Circuits: An Application of Dempster-Shafer Theory

May 30, 2023

Journal: Ingénierie des Systèmes d’Information 3 (28)

DOI: 10.18280/isi.280306

Track circuits, integral to the security infrastructure of railway traffic systems, govern the operational status of train lines. The swift detection and rectification of faults within these circuits is critical to preserve the integrity and functionality of rail networks. In this study, an innovative approach, leveraging neural networks in tandem with Dempster-Shafer theory, is proposed for detec...
Design of End-to-End Speech Recognition System by Used Hybrid CNN-LSTM

Feb 28, 2023

Journal: AIP Conference Proceedings 1 (2839)

DOI: 10.1063/5.0167688

In the study of speaker verification, end-to-end Speech Recognition systems based on (DNNs) have received a lot of attention. The study of audio signal processing in the disciplines of voice recognition and auto-tagging for music However, in light of the fact that we are not aware of any systems that use raw audio streams from end to end. Speaker verification has not looked into these issues is us...
Enhancement and modification of automatic speaker verification by utilizing hidden Markov model

Sep 12, 2022

Journal: Indonesian Journal of Electrical Engineering and Computer Science 3 (27)

DOI: 10.11591/ijeecs.v27.i3.pp1397-1403

The purpose of this study is to discuss the design and implementation of autonomous surface vehicle (ASV) systems. There’s a lot riding on the advancement and improvement of ASV applications, especially given the benefits they provide over other biometric approaches. Modern speaker recognition systems rely on statistical models like hidden Markov model (HMM), support vector machine (SVM), artifici...
Enhancement of motor speed identification using artificial neural networks

Sep 12, 2022

Journal: Indonesian Journal of Electrical Engineering and Computer Science 3 (27)

DOI: 10.11591/ijeecs.v27.i3.pp1388-1396

In this study have been utilized a modified version of ant colony optimization to improve the thresholds of neural networks and weights by including the rank- weight approach. Furthermore, this technique easily overcome the drawbacks speed up convergence into the minimum while training the back propagation neural network. The improved ant colony optimization-back propagation neural. not only has t...
Reinforcement learning for speech recognition using recurrent neural networks

Aug 26, 2022

Journal: 2022 2nd Asian Conference on Innovation in Technology, ASIANCON 2022

DOI: 10.1109/ASIANCON55314.2022.9908930

Foretelling Diabetic Disease Using a Machine Learning Algorithms

Feb 21, 2022

Journal: 2022 International Conference for Advancement in Technology, ICONAT 2022

DOI: 10.1109/ICONAT53423.2022.9726070

Continuous monitoring and adjustment of insulin dosages are necessary for diabetics in order to maintain diabetics levels as near to normal levels possible. long-term and short-term complications might result from blood glucose levels that are out of the usual range. If a person's blood glucose levels were predicted automatically, they would be able to take preventative measures before they had a...
Design of automatic speech recognition in noisy environments enhancement and modification

Jan 31, 2022

DOI: 10.21533/pen.v10i1.2575

Recurrent neural networks (RNN) and feed-forward multi-layer perceptron’s have been proposed for determining the absence and presence of speech in continuous voice signals when there is a variety of background noise levels present. The Aurora2 and Aurora3 were used to conduct detailed performance evaluations on vocal activity detection. When a Recurrent neural network feeds on automatic speech rec...
Enhancement automatic speech recognition by deep neural networks

Nov 12, 2021

Journal: Periodicals of Engineering and Natural Sciences 4 (9)

DOI: 10.21533/pen.v9i4.2450

The performance of speech recognition tasks utilizing systems based on deep learning has improved dramatically in recent years by utilizing different deep designs and learning methodologies. A popular way to boosting the number of training data is called Data Augmentation (DA), and research shows that using DA is effective in teaching neural network models how to make invariant predictions. furthe...
Design of rotary inverted pendulum swinging-up and stabilizing

Nov 12, 2021

Journal: Periodicals of Engineering and Natural Sciences 4 (9)

DOI: 10.21533/pen.v9i4.2453

The mechanical design of inverted pendulum systems may be very diverse. This study makes use of mathematics to explain the expanded unstable Rotary planer inverted pendulum arrangement (Rotary -inverted system). Pin connections are used in planer-inverted pendulums to attach the pendulum to the rotating-Rotary actuation base. This design of a Rotary -inverted pendulum is explored in the developmen...
Classification of acoustic data using the ff neural network and random forest method

Oct 29, 2021

Journal: 2021 International Conference on Smart Generation Computing, Communication and Networking, SMART GENCON 2021

DOI: 10.1109/SMARTGENCON51891.2021.9645847

According to their acoustic analysis, speaker identification systems are intended to identify the speaker or group of speakers. Many methods are used to conduct acoustic analysis on a speech signal, with time and frequency domain analysis being the most common. The MFCC and Fundamental Frequency techniques are used in this article to extract acoustic information from speech samples. Two distinct m...
Design Speech Recognition Systems in the nosily Environment by Utilizing intelligent Devices

Oct 17, 2021

Journal: 2021 2nd International Conference on Smart Technologies in Computing, Electrical and Electronics, ICSTCEE 2021 - Proceedings

DOI: 10.1109/ICSTCEE54422.2021.9708576

Many individuals have always found the ability to recognize human speech interesting because of the diversity of applications in virtually every industry. Improvements in human voice/speech recognition capacity and quality have been made possible via advancements in science and technology, particularly when using equipment known as a terminal. Speech recognition enables devices to alter speech dat...
Separately excited DC motor speed using ANN neural network

Oct 11, 2021

Journal: AIP Conference Proceedings 1 (2404)

DOI: 10.1063/5.0068893

Separately Excited Direct Current Motors (SEDCM) is termed by high efficiency in electrical traction manufacturing. SEDCMs are utilized by high power applications such as aircrafts and ships traction. Speed control is more likely required to maintain the performance of the motor in different load scenarios. Conventional methods of speed control such as proportional integral controller (PIC) are re...
mahmood Dynamic spectrum sharing is the best way to modify spectrum resources

Aug 27, 2021

Journal: 2021 Asian Conference on Innovation in Technology, ASIANCON 2021

DOI: 10.1109/ASIANCON51346.2021.9544912

As a result, spectrum agreement could not fulfill the increasing technological needs. But with cognitive radio, spectrum use and resource substitution have come together. A distressing number of people are now relying on technology such as radio to meet their daily needs, since technologies in all industries, especially those that employ licensed band, are moving toward greater availability. To co...
Optimization the accuracy of ffnn based speaker recognition system using pso algorithm

Aug 25, 2021

Journal: International Journal on Communications Antenna and Propagation 4 (11)

DOI: 10.15866/irecap.v11i4.19883

Speaker recognition systems use a model that learns a speaker's speech by inputting an audio recording and processing it. Time-varying signal, with frequencies that continuously change, is identified as a speech signal. There are many uncertain attributes to speech; thus traditional speech recognition techniques such as using zero crossings and the Fourier Transform are not up to the task. It aims...
Design of multiband slot patch antennas for modern wireless applications

Jan 2, 2020

Journal: International Journal on Communications Antenna and Propagation 5 (10)

DOI: 10.15866/irecap.v10i5.19071

In the past few years, microstrip antenna have been used in many applications because of their thin planar profile that could be easily integrated into various surfaces of aircraft, rockets and other customer-beneficial products. They are easily integrated into the same board and they allow the addition of active devices. These antennas are used in different areas like satellite navigation, mobile...
The Impact of Relay Node Deployment in Vehicle Ad Hoc Network: Reachability Enhancement Approach

Oct 18, 2019

Journal: 2019 Global Conference for Advancement in Technology, GCAT 2019

DOI: 10.1109/GCAT47503.2019.8978445

Speaker VANET or vehicular ad hoc network is intelligent means of transportation which is essentially ensuring the safety norms. This technology can be established in any road such as highway or inter-city urban roads; it is basically a set of mobile vehicles connected with static base station. VANET is adopted ad hoc nature where dynamic vehicles are capable to communicate with each other due to...
Design of new multiband slot antennas for Wi-Fi devices

Sep 23, 2019

Journal: International Journal on Communications Antenna and Propagation 5 (9)

DOI: 10.15866/irecap.v9i5.16754

Microstrip antennas cover a wide range of application in different areas, such as internet services, mobile communication, and satellite navigation. Microstrip antenna consists of two metal layers and a substrate. In the two metal layers, the top one is called patch and the bottom layer is called ground. Between the patch and the ground, there is the substrate layer, which has a certain dielectric...
Optimization and Integration of RFID Navigation System by Using Different Location Algorithms

Feb 2, 2019

Journal: International Review of Electrical Engineering 4 (14)

DOI: 10.15866/iree.v14i4.16684

The detection of mobile objects locations is vital for many fields of technology such as banking systems, social media, and driving assistance technologies (i.e. Google Maps). This approach is firstly proposed for supporting security and arm forces. Then, location-based services have gained the attention of data scientist so, it has become essential for providing access for particular files of ser...
Optimization and Integration of RFID Navigation System by Using Different Location Algorithms

Feb 2, 2019

Journal: International Review of Electrical Engineering 4 (14)

DOI: 10.15866/iree.v14i4.16684

The detection of mobile objects locations is vital for many fields of technology such as banking systems, social media, and driving assistance technologies (i.e. Google Maps). This approach is firstly proposed for supporting security and arm forces. Then, location-based services have gained the attention of data scientist so, it has become essential for providing access for particular files of ser...
Radar Target Detection by Using Levenberg-Marquardt Algorithm

Mar 12, 0023

Journal: Przegląd Elektrotechniczny 3 (99)

DOI: 10.15199/48.2023.03.47

Typically, with radar systems, a person is required to assist in the process of detecting a target. As a result of this human factor, radar systems are not completely dependable since their performance differs across operators. In this work, an intelligent radar system for border monitoring is described. Artificial neural networks trained using the Levenberg-Marquardt technique have been used to i...