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Now showing items 1-20 of 33
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A Novel Approach to Power Flow Analysis for Grid Connected Micro Grid
(Ieee, 2015)This paper proposes a neural network based power flow analysis method that applied on a grid connected and ring-shaped micro grid. As the use of micro grids increasing rapidly, it becomes necessary to analyze them for ... -
A Novel PWM DC-DC Boost Converter with Reduced Voltage Across Filter Capacitance
(Ieee, 2019)A novel pulse width modulation DC-DC boost converter reduced voltage across filter capacitance is presented in this paper. As compared to conventional boost converters, the proposed boost converter has lower cost and higher ... -
An Architecture for Two Ambient Energy Sources
(Ieee, 2019)A self-start-up energy combiner power converter architecture for two ambient energy sources (e.g., microbial fuel cells (MFCs)) is presented in this paper. The proposed architecture is designed with two charge pumps, two ... -
Analysis of Fetal Heart Rate Signal based on Neighborhood-based Variance Compression Method
(Ieee, 2018)Cardiotocography (CTG) is a fetal monitoring technique and it constitutes two distinct simultaneously recorded biophysical signals which are fetal heart rate (FHR) and uterine contractions (UC). In clinical practice, CTG ... -
Authentication and Authorization Mechanism on Message Queue Telemetry Transport Protocol
(Ieee, 2018)Internet of things (IoT) allows devices especially with low process capability and power consumption, to transmit data to each other using various communication technologies such as wired, wireless network and radio ... -
Chronic Tympanic Membrane Diagnosis based on Deep Convolutional Neural Network
(Ieee, 2019)Chronic Otitis Media (COM) causes deformation of the middle ear ossicles with perforation as a result of long-lasting inflammation of the middle ear and it is one of the basic reasons for hearing loss. The middle ear images ... -
Classification and Comparison of Cardiotocography Signals with Artificial Neural Network and Extreme Learning Machine
(Ieee, 2016)Cardiotocography (CTG) is a monitoring technique that is used routinely during pregnancy and labor to assess fetal well-being. CTG consists of two signals which are fetal heart rate (FHR) and uterine contraction (UC). ... -
Control Of An Optimum Modelled Air Heating System And Real Time Simulation
(Ieee, 2012)In this paper, a controller was designed for air heating system and parameters of controller were calculated. A real time simulation of system was done to compare properties of controller both in simulation and real time ... -
Deep Feature Extraction for Face Liveness Detection
(Ieee, 2018)Face recognition is now widely being used to verify the identity of the person in various applications ranging from border crossing to mobile authentication. However, most face recognition systems are vulnerable to spoofing ... -
Deep Learning based Face Liveness Detection in Videos
(Ieee, 2017)The human face is an important biometric quantity which can be used to access a user-based system. As human face images can easily be obtained via mobile cameras and social networks, user-based access systems should be ... -
Deep Learning Researches in Turkey: An Academic Approach
(Ieee, 2017)Deep learning (DL) is deployed in Deep Neural Networks (DNNs), Recurrent Neural Networks (RNNs), Convolutional Neural Networks (CNNs), Deep Stacked Networks (DSNs), Deep Belief Networks (DBNs), and Deep Boltzmann Machines ... -
Determination of environmental gamma radiation in Bitlis
(E D P Scıences, 2015)In this study; the environmental gamma radiation at the various points (16 points) in the districts of and in Bitlis, where it was located in the Turkey Eastern Anatolia region, were measured. The environmental gamma ... -
Energy Harvesting System with A Single-step Power Conversion Process Achieving Peak Efficiency of 79.1%
(Ieee, 2020)Energy harvesting interface circuit with a single-step power conversion process is presented in this paper. The energy harvesting system is at the interface between the ambient energy source and the load. The proposed ... -
Epilepsy Detection using a Naive Signal Decomposition Method Combined with Fractal Dimension
(Ieee, 2018)Electrodes attached to the surface of the scalp can measure Electroencephalogram (EEG) signals that are electrical impulses produced by nerves in the brain [1]. EEG signals are useful for doing deductions about the mental ... -
Feature Extraction of ECG Signal by using Deep Feature
(Ieee, 2019)The analysis and classification of Electrocardiogram (ECG) signals have become very important tool to diagnose of heart disorders. Computer-aided techniques are generally used to classify biomedical application areas. In ... -
Fetal Hypoxia Detection Based on Deep Convolutional Neural Network with Transfer Learning Approach
(Sprınger Internatıonal Publıshıng Ag, 2019)Electronic fetal monitoring (EFM) device which is used to record Fetal Heart Rate (FHR) and Uterine Contraction (UC) signals simultaneously is one of the significant tools in terms of the present obstetric clinical ... -
Food Image Classification with Deep Features
(Ieee, 2019)In this paper, deep feature extraction, feature concatenation and support vector machine (SVM) classifier are used for efficient classification of food images. Classification of foods according to their images becomes a ... -
Identification of Haploid Maize Seeds using Gray Level Co-occurrence Matrix and Machine Learning Techniques
(Ieee, 2018)Doubled haploid (DH) technique is used effectively in maize breeding. This technique is superior to conventional maize breeding in terms of both time and homozygosity. One of the important processes in DH technique is the ... -
Investigation of chemical effect on the absorption parameters for some selected indium complex at 59.54 keV photon energy
(Iop Publıshıng Ltd, 2016)In this work, the mass attenuation coefficients, molecular, atomic and electronic cross sections, effective atomic numbers and electron densities of some selected indium complexes such as C5H10InNO9, C3H6InNO9 and C9H10InNO9, ... -
Investigation of the Effects of Reservation Method on Access Delays: A VANET MAC Application
(Ieee, 2018)Recently, with the increasing popularity of autonomous vehicles, the use of Vehicular Adhoc Networks (VANETs) has been increased in order to listen to the environment, to perceive the changes, and to warn the driver or ...
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