Search
627 articles for “neural”
-
Extraction of speech Emotion Features Using MLP Classifier
Abstract: Speech Emotion Recognition is a thriving research topic. Speech emotion recognition use MLP classifier to categorize the emotions from the speech. This Speech is also used as the medium, through which one can express their feelings and mind state in human to machine interaction. The case is very easy where two humans communicate along with their emotions as by nature, they can recognize each other’s emotions. But for computer, if …
Published in Journal of Instrumentation Technology & Innovations · Vol. 12, Issue 3, 2022 · pp. 11–19 Read article
-
Real-time Conversational AI Application for Healthcare Domain
Abstract: Real-time Conversational AI Application for Healthcare Domain’s primary goal is to create a real- time communication plan to reduce low-pitch sounds and noise levels. We’re using Nvidia Nemo SDK, Nvidia Riva, Amazon Services, and open-source platforms like RASA and Facebook Blender 2.0 chatbot. Our chatbot differs from conversational AI-based chatbots because neural networks are used in text mining consumer feedback. We can say that Conversational AI applications are Intelligent Virtual …
Published in Journal of Instrumentation Technology & Innovations · Vol. 13, Issue 2, 2023 · pp. 11–31 Read article
-
Adaptive Neuro-Fuzzy Inference System (ANFIS) Control for Total Harmonic Distortions Reduction of Multi-Pulse STATCOM
Abstract: In this paper proposed ANFIS System is adapted for controllable mitigation of Total harmonic distortions of STATCOM with Multiple pulse technology. Integrated power electronics device, Gate Turn Off (GTO) is used in switching mode with Voltage source convertor during application of distinct load conditions. The proportional and integrated Controller is replaced by a smart fuzzy logic controller that offers great support for harmonic mitigation by redefining the electrical magnitudes of …
Published in Journal of Mechatronics and Automation · Vol. 9, Issue 2, 2022 · pp. 17–31` Read article
-
Effect of Various Process Parameters on MRR in Manual Air Plasma Arc Cutting of AISI 1017 Mild Steel using ANN
Abstract: As per recent industrial surveys it is investigated that manufacturing companies define the quality of thermal cutting process by the dimension of work material and cutting surface appearance. Therefore, the surface roughness and material removal rate (MRR) are primarily considered. In this work the effect of three input parameters air pressure (P), cutting current (I) and cutting velocity (v) on material removal rate (MRR) is obtained experimentally. An artificial neural …
Published in Journal of Mechatronics and Automation · Vol. 2, Issue 2, 2015 · pp. 8–14 Read article
-
Survey of Techniques for Clustering and Classification of ECG using WEKA
Abstract: ECG analysis can be done for automatic detection of abnormality in cardiac activity. This can be helpful in generating alert for saving a precious life. Various techniques have been proposed in literature for feature detection and classification such as; fuzzy logic methods, artificial neural networks (ANN), and support vector machines (SVM), wavelet transform, Hilbert transform, etc. Recently, numerous researches and techniques have been developed for analyzing the ECG signal on …
Published in Journal of Microcontroller Engineering and Applications · Vol. 3, Issue 2, 2016 · pp. 14–19 Read article
-
ANN Controlled Plasma Spray Process by using Industrial Waste
Abstract: Plasma spray coating process has become a subject of intense research because it becomes an affordable solution for many industrial applications. The present work aims at developing and studying the industrial wastes (Flay-ash powder mixture) as the coating material, which is to be deposited on Mild Steel and Cupper substrates. To increase the coating deposition efficiency and to decrease the cost of coating process, one of the artificial intelligence (AI) …
Published in Journal of Materials & Metallurgical Engineering · Vol. 3, Issue 3, 2013 · pp. 1–6 Read article
-
Enhancement of ATC using UPFC under Deregulated Environment
Abstract: Available transfer capability is the most important factor for the identification of power transfer from gencos to discos. In a deregulated power system, power producer and customer share a common transmission network for wheeling of the electric power. This may cause violation of line flow, voltage and stability limits and thereby undermine the security limit [1]. To improve the available transfer capability of the system FACTS controllers are used. UPFC …
Published in Journal of Power Electronics and Power Systems · Vol. 6, Issue 1, 2016 · pp. 66–72 Read article
-
Application of Accelerated PSO and ANN for Optimal Scheduling of Hydrothermal System
Abstract: A short range problem of hydrothermal scheduling of hydrothermal system with cascaded is analyzed in this paper. The net head, water discharge rate and water transport delay between connected reservoirs is considered in the problem. The developed algorithm is demonstrated on a test system consisting one thermal plant and four cascaded hydro plants. The results obtained by the APSO technique are compared to PSO and conventional technique. It is found …
Published in Journal of Power Electronics and Power Systems · Vol. 6, Issue 3, 2016 · pp. 42–52 Read article
-
Development of a Soft Computing-Based Island Detection System and Performance Analysis
Abstract: There has been an overestimation of the global energy consumption in the last few years. Distributed Generators are being propelled forward by the motivation provided by the absence of suitable transmission capacity, exaggerated transmission and distribution mishaps, and the release of power marketing (DGs). It's a distributed age unit (DG slash hack expansion) and regional units linked to distribution that power the system, which has yet to have hundreds of …
Published in Journal of Semiconductor Devices and Circuits · Vol. 8, Issue 3, 2021 · pp. 1–15 Read article
-
Managing the Resources of LTE Networks using Multi-orthogonal Access based on Deep Learning
Abstract: AbstractOne of the topics discussed in telecommunications systems is joint subcarrier and power allocation in the uplink of an NOMA system that we study. Due to this reason a novel radio resource management framework is presented based on code-domain and a deep learning algorithm for uplink and downlink transmissions, such that the neural network is trained by Bayesian regularization back propagation and the mean squared error )MSE) are the training …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 7, Issue 2, 2020 · pp. 19–26 Read article
-
Secure Data Processing and Transmission Using Machine Learning Techniques
Abstract: The amount of data created by smart devices has drastically increased in recent years as a result of the quick technological improvements in those devices and their use in a variety of applications. As a result, the big data (BD) created by various devices may be too much for typical data analytics tools to handle. However, this exponential expansion of data provides numerous types of attackers with new chances to …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 9, Issue 3, 2022 · pp. 22–30 Read article
-
A Low Power Variable Gain Amplifier for Biomedical Application
Abstract: This paper describes the design and simulation of low power variable gain amplifier used for biomedical application like hearing aid, Electronic Cardiograph and neural recording system. The MOS transistor is designed to operate in subthreshold region for low power application. The gain of amplifier is changed by selecting different values of input capacitor in the frequency range of 20 Hz–20 KHz. The simulated total power dissipation is 3µW. The gain …
Published in Journal of VLSI Design Tools and Technology · Vol. 4, Issue 3, 2014 · pp. 7–12 Read article
-
Reduction of Ocular Artifacts in Single Channel EEG by EEMD-IMF Thresholding
Abstract: AbstractElectroencephalogram (EEG) is a widely used signal for analyzing the activities of the brain and usually contaminated with artifacts due to the movements of eye, heart, muscles and power line interference. Among these ocular activities creates significant artifacts and makes the analysis difficult. In this paper, ensemble empirical mode decomposition (EEMD) inspired by wavelet thresholding is used for the correction of ocular artifacts (OA) in EEG signals. Unlike the conventional …
Published in Recent Trends in Electronics Communication Systems · Vol. 5, Issue 1, 2018 · pp. 17–25 Read article
-
Review on Significance of IoT (Internet of Things)
Abstract: Abstract: IoT is a kind of “Universal global neural network” which connects different things easily. IoT is prudentially connected devices and systems which comprised of smart machines interacting and communicating with other machines, environments, pipeline structure and sensor network technologies will rise to meet this new challenge. Due to which, a huge amount of data are produced, stored and data is then processed into useful actions, that can live much …
Published in Recent Trends in Electronics Communication Systems · Vol. 6, Issue 1, 2019 · pp. 8–15 Read article
-
Wearable Ankle Rehabilitation Robotic Device for Stroke Rehabilitation
Abstract: AbstractAnkle rehabilitation is vital in stroke recovery and this stage is critically intervention for stroke rehabilitation. It is shown that initial first few days of acute stroke is incredibly vial, so there is strong need for rehabilitation. Here, this study helps to develop the ankle movement of the acute stroke patient. The force sensor was used to detect the tendency of the ankle movement. The main objective of this wearable …
Published in Recent Trends in Sensor Research & Technology · Vol. 5, Issue 2, 2018 · pp. 33–37 Read article
-
Age, Gender And Emotion Detection
Abstract: The main reason is the development of a method to automatically estimate the age and gender of the human face. It continues to play an important role in computer vision and pattern recognition. In addition to age determination, facial emotion recognition also plays an important role in computer vision. Nonverbal communication methods such as facial expressions, eye movements, and gestures are used in many human-computer interaction applications. Much research has …
Published in Recent Trends in Sensor Research & Technology · Vol. 9, Issue 1, 2022 · pp. 1–6 Read article
-
Face Mask Detection Alert System
Abstract: The COVID-19 coronavirus epidemic is widely spreading around the world, which is why wearing face masks in public is becoming more popular. Since the WHO has made wearing masks mandatory to prevent this deadly virus, wearing face masks regularly is an essential measure until the virus is completely eradicated. Several preventive measures are being considered to decrease the spread of disease and one of them is wearing masks in crowded …
Published in Recent Trends in Sensor Research & Technology · Vol. 9, Issue 2, 2022 · pp. 25–31 Read article
-
Accurate & Efficient Plant Disease Detection using Transfer Learning with Edge Impulse
Abstract: Transfer learning is a powerful machine learning technique that allows optimization of pre-trained models for related tasks on small datasets. In this research paper, we explore the application of Edge Impulse & transfer learning for plant diseases and aim to detect on edge devices more effectively at low cost. We collected and preprocessed many plant images and used this data to fine-tune a neural network model pre-trained by Edge Impulse. …
Published in Recent Trends in Sensor Research & Technology · Vol. 10, Issue 1, 2023 · pp. 30–41 Read article
-
A Comparative Study of ANN and Traditional Control Techniques based Active Shunt Power Filter for 400 Hz Aircraft Electric Power System
Abstract: Sinusoidal current control strategy for extracting reference current for shunt active power filters have been modified using artificial neural network (ANN) and its performances have been compared too. The acute analysis of comparison of the compensation capability is based upon THD, speedwell and recommendations will be given for the choice of technique to be used. The simulated results using MATLAB model are shown in this paper, and they will undoubtedly …
Published in Trends in Electrical Engineering · Vol. 6, Issue 1, 2016 · pp. 42–49 Read article
-
Design Optimization of Three Phase Induction Motor: A Technological Review
Abstract: This paper is intended to review the significant development in design optimization of electrical motors in last decay. Contents in this review paper starts with introduction of induction motor and its role in the industry. Different optimization methods which can be applied to get best suited optimal design of induction motor to achieve best performance of machines are discussed. Genetic algorithm (GA) and particle swarm optimization (PSO) are two latest …
Published in Trends in Electrical Engineering · Vol. 6, Issue 1, 2016 · pp. 1–9 Read article