Browsing by Publisher "IEEE"
Now showing items 1-20 of 184
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Accelerating Brain Simulations on Graphical Processing Units
(IEEE, 2015)NEural Simulation Tool(NEST) is a large scale spiking neuronal network simulator of the brain. In this work we present a CUDA(R) implementation of NEST. We were able to gain a speedup of factor 20 for the computational ... -
Achievable Performance of Bayesian Compressive Sensing Based Spectrum Sensing
(IEEE, 2014)In wideband spectrum sensing compressive sensing approaches have been used at the receiver side to decrease the sampling rate if the wideband signal can be represented as sparse in a given domain. While most studies consider ... -
Action Recognition Using Random Forest Prediction with Combined Pose-based and Motion-based Features
(IEEE, 2013)In this paper we propose a novel human action recognition system that uses random forest prediction with statistically combined pose-based and motion-based features. Given a set of training and test image sequences (videos) ... -
Allocation of Distributed Generators Using Parallel Grey Wolf Optimization
(IEEE, 2021)This paper solves the allocation problem of distributed generators (DGs) in smart grids utilizing a grey wolf optimization (GWO) algorithm. By parallelizing GWO, it presents the impact of using various number of processors ... -
Alternative Transducer Power Gain Expression in Broadband Matching Network Designs
(IEEE, 2016)In this paper a reflection coefficient based transducer power gain expression has been derived which is an alternative to the impedance based expression exists in the literature. A broadband double matching problem is ... -
Analysis and Optimization of the Network Throughput in IEEE 802.15.13 based Visible Light Communication Networks
(IEEE, 2021)In line with the growing interest on visible light communication (VLC), IEEE has initiated standardization efforts on this emerging technology. In this work, we consider IEEE 802.15.13 Optical Wireless Personal Area Networks ... -
An Analysis for the Use of Compressed Sensing Method in Microwave Imaging
(IEEE, 2017)One of the most important problems encountered in microwave imaging methods is intensive data processing traffic that occurs when high resolution and real time tracking is desired. Radar signals can be recovered without ... -
Analysis of deep learning based path loss prediction from satellite images
(IEEE, 2021)Determining the channel model parameters of a wireless communication system, either by measurements or by running electromagnetic propagation simulations, is a time-consuming process. Any rapid deployment of network demands ... -
Analysis of Extended Busy Tone Performance for Coexistence between WRAN and WLAN TVWS Networks
(IEEE, 2015)TV White Spaces indicate spectrum bands which were reserved for licensed terrestrial TV broadcasting and opened to unlicensed use under regulatory conditions. One important regulation which is common in all regulatory ... -
Analysis of Local and Centralized Control of PV Inverters for Voltage Support in Distribution Feeders
(IEEE, 2021)Higher photovoltaic penetration on distribution system brings operational challenges including overvoltage issues. With smart inverters, efficient voltage control can be achieved through adjusting active/reactive powers ... -
Analytical approaches for the amplitude and frequency computations in the astable cellular neural networks with opposite sign templates
(IEEE, 2007)In this paper, by using surface fitting methods, analytical approaches for amplitudes and frequencies of the x(1,2)(t) "States" in a simple dynamical neural network called "Cellular Neural Network with Opposite Sign ... -
Analytical Expense Management System
(IEEE, 2009)Although the development of communication technologies (e.g: UMTS ADSL) allowed the elaboration of multiple users' web applications (e.g. information storage) there are still many improvements on many applications to be ... -
Anomaly Detection in Walking Trajectory
(IEEE, 2018)Analysis of the walking trajectory and the detection of anomalies in this trajectory, provide important benefits in the fields of health and security. In this work, two methods to detect anomalies in trajectories, are ... -
The Arithmetic Optimization Algorithm for Optimal Energy Resource Planning
(IEEE, 2021)This study presents a new formulation regarding optimal placement and sizing of multi-type distributed generations (DGs) and energy storage systems (ESSs) to enhance the reliability of a radial distribution system and to ... -
Assessment of Harmonic Distortion on Distribution Feeders with Electric Vehicles and Residential PVs
(IEEE, 2017)Power-electronic interfacing based devices such as photovoltaic (PV) panels and electric vehicles (EVs) cause voltage/current harmonic distortions on the power grid. The harmonic current profiles from EVs and PVs depend ... -
Audience Tracking and Cheering Content Control in Sports Events
(IEEE, 2020)Swearing cheers encountered in sports competitions do not comply with sports ethics and morals. Even if this kind of cheering is a group, the entire tribune block is penalized in accordance with the current rules. This ... -
Bayesian compressive sensing for ultra-wideband channel models
(IEEE, 2012)Considering the sparse structure of ultra-wideband (UWB) channels compressive sensing (CS) is suitable for UWB channel estimation. Among various implementations of CS the inclusion of Bayesian framework has shown potential ... -
Beacons for Indoor Positioning
(IEEE, 2017)This work aims to develop a system for the tracking and control of elderly or handicapped people in an indoor environment. We have developed both a special box using an Arduino board and a mobile application on Android to ... -
Big Data Platform Development with a Domain Specific Language for Telecom Industries
(IEEE, 2013)This paper introduces a system that offer a special big data analysis platform with Domain Specific Language for telecom industries. This platform has three main parts that suggests a new kind of domain specific system for ... -
Bitcoin Forecasting Using ARIMA and PROPHET
(IEEE, 2018)This paper presents all studies methodology and results about Bitcoin forecasting with PROPHET and ARIMA methods using R analytics platform. To find the most accurate forecast model the performance metrics of PROPHET and ...