Başlık için Makale Koleksiyonu listeleme
Toplam kayıt 73, listelenen: 1-20
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A novel high speed Artificial Neural Network–based chaotic True Random Number Generator on Field Programmable Gate Array
(2019)It is well observed that cryptographic applications have great challenges in guaranteeing high security as well as high throughput. Artificial neural network (ANN)–based chaotic true random number generator (TRNG) structure ... -
Analysing of Harmonics Affecting the Energy Quality in Opium Alkaloids Plant's Power System
(Igi Global, 2016)The quality of energy has been defined to control harmonics caused by non-linear loads and international standards were brought to overcome the harmonic related problems. In determining the power quality, parameters like ... -
Analyzing the wet and bulk deposition with receptor models in Kirklareli, Turkey
(Springer, 2021)This study presents the wet deposition and bulk deposition of major ions in Kirklareli (Turkey). In the samples of wet deposition and bulk deposition, concentrations of major cations (Na+, Mg2+, Ca2+, K+, NH4+) and major ... -
Anatomical comparison and evaluation of human proximal femurs modeling via different devices and FEM analysis
(Wiley, 2013)Background Breuckmann optical scanning, Metris laser scanning and CT are general devices used for modeling hard or soft tissues in the biomedical field. Whereas the CT device is able to model internal and external structures ... -
Anticipating the Friction Coefficient of Friction Materials used in Automobiles By Means of Machine Learning Without Using a Test lnstrument
(2013)The most important factor for designs in which friction materials are used is the coefficient of friction. The coefficient of friction has been determined taking such variants as velocity, temperature, and pressure into ... -
Artificial neural network-based 4-d hyper-chaotic system on field programmable
(Ismail Saritas, 2020)In this presented study, a 4-D hyper-chaotic system newly proposed to the literature, has been implemented as Multi-Layer Feed-Forward Artificial Neural Network-based on FPGA chip with 32-bit IEEE-754-1985 floating-point ... -
Assesment of Daylighting Performances of Classrooms: A Case Study in Kırklareli Universıty, Turkey
(2015)This study was conducted to evaluate the daylighting performances of classrooms. For this study, a classroom in Kayali Campus and two classrooms in Kavakli Campus of Kirklareli University have been selected. In these ... -
Assessment of Water Quality of East Part of the Ergene Basin, Turkey
(2011-12)Although Turkey, particularly the Thrace region, seems to be rich in soil and water resources in comparison to its location, population growth, pollution caused by industrialisation and possible global warming threaten the ... -
Balance Prediction of the Inertia Wheel Pendulum By Using Swing Up and PID Controller
(2020-06)In this paper, inertia wheel pendulum balance control is performed by using swing up and PID controller. Paper provides predictions on real time design balance system. Predictions were performed through data that were ... -
Bulanık Mantık Üyelik Fonksiyonlarının FPGA Üzerinde Gerçeklenmesi
(2020-04-18)Bu çalışmada, gerçek zamanlı Bulanık Mantık uygulamaları için gauss, triangular (üçgen), trapezoidal (yamuk), generalized bell-shaped (genelleştirilmiş çan eğrisi) üyelik fonksiyonlarının matematiksel modeli referans ... -
Chemical Analysis of Wet Deposition Sequential Samples at Istanbul, Turkey
(2018)In this study, the relations between wet deposition fluxes of major ions, concentrations and rain intensity in the precipitation events occurring on a) November 10th, 2007 and b) December 05th, 2007 are presented. The ... -
The comparative analysis of boost DC/DC converter used in hybrid electric vehicles
(2012)Power electronics converters are the periodically changing systems because of their switching structures. For this reason, the dynamic attitudes of the converters show nonlinear characteristics. The analysis and design of ... -
A comparative study on appliance recognition with power parameters by using machine learning algorithms
(2021)Recently, machine Learning algorithms are widely used in many fields. Especially, they are reallygood to create prediction models for problems which are not easy to solve with conventionalprogramming techniques. Although, ... -
Comparison of Classification Algorithms for Detecting Patient Posture in Expandable Tumor Prostheses
(Univ Suceava, Fac Electrical Eng, 2020)Autonomous tumor prostheses are extended without the need of a clinic and of a medical supervision. It is necessary to make sure that the patient is not standing before extending these prostheses. This study aims to determine ... -
DESIGN AND CONSTRUCTION OF A COMPUTER CONTROLLED AUTOMATIC SEQUENTIAL RAIN SAMPLER
(Taylor & Francis Ltd, 2013)The preliminary goal of this study was to design, construct and apply a new automatic sequential precipitation sampling instrument. The proposed sequential sub-event sampler was designed in two sections: mechanical and ... -
Design and Development of an Intelligent Biomechatronic Tumor Prosthesis
(2019)Nowadays, bone cancer patients using expandable prostheses (EPs) have to go to the clinic frequently to determine the limb length and to perform the extension if necessary, as long as their age-based growth lasts. This ... -
Design Of Stepper Motor Control Interface With Embedded Systems
(2018-06-20): In this study, the interface design which can be controlled in real time by the step motors which are widely used in the industrial area has been realized. For the purpose of the realized project, the use of the interface ... -
Developing of a Learning-based System to Assist Treatment Process of Arrhythmia Patients
(2011)The transformation process of the data kept in data warehouse into usable information for decision support system is very important. In this process, it is necessary to reveal the useful data that can meet the needs of the ... -
Developing of a learning-based system to assist treatment process of arrhythmia patients
(2011)The transformation process of the data kept in data warehouse into usable information for decision support system is very important. In this process, it is necessary to reveal the useful data that can meet the needs of the ... -
Diagnosis of neuro degenerative diseases using machine learning methods and wavelet transform
(Gazi Univ, Fac Engineering Architecture, 2017)This study suggests that the force signals applied to the ground may be used to classify neuro-degenerative diseases (NDD) such as Amyotrophic lateral sclerosis (ALS), Huntington's disease (HD) and Parkinson's disease (PD). ...
