Advanced Search

Cancel
Found: 91 Piece 0.000 sn
- You can use the 'AND' / 'OR' / 'NOT' option for the things you want to add or remove.
- You can return to normal search by pressing the Cancel button.
Filters
Filters
Found: 91 Piece 0.000 sn
Publication type [1]
Source [35]
Index Type 2 [1]
National/International [1]
Access to Files

A Panel Study of the Impact of R&D on Financial Performance: Evidence from an Emerging Market

Mahmut ERDOĞAN | Adilya YAMALTDİNOVA

In recent years, innovation and R&D activities have been one of the most important factors affecting the growth strategies of the companies and their financial performance. However, it is the fundamental elements of sustainable economic growth, innovative activities have strategic decision-making characteristics due to their effects on efficiency and market value. The aim of this paper is to investigate the effects of R&D expenditures on the financial performance of 62 production companies listed in Borsa Istanbul in the period of 2008-2017 by using panel data methods. We used return on assets ...More

Access to Files

Method of additional argument in problems of optimal control

Ramiz RAFATOV

The problem of control of the process described by the nonlinear differential equation with partial derivatives of the first order, with conditions at t 0 and in a sequence n of points x1 < x2 ... < xn is solved. The criterion of quality of control is the integrated quadratic functional, which depends on a final state of system and set n of controlling parameters. The method of increment of functional is applied to reception of conditions of optimality, and the method of additional argument (MAA) is applied for the decision of the nonlinear equations with partial derivatives.

Access to Files

The Optimal Vector Control for the Elastic Oscillations Described by Fredholm Integral-Differential Equations

Elmira ABDILDAYEVA

In this paper, we investigate the nonlinear problem of the optimal vector control for oscillation processes described by Fredholm integro-differential equations in partial derivatives when function of external sources nonlinearly depend on control parameters. It was found that the system of nonlinear integral equations,which obtained relatively to the components of the optimal vector control, have the property of equal relations. This fact lets us to simplify the procedure of the constructing the solution of the nonlinear optimization problem. We have developed algorithm for constructing the s ...More

Access to Files

Using the Cramer-Gauss Method to Solve Systems of Linear Algebraic Equations with Tridiagonal and Five-Diagonal Coefficient Matrices

Anarkül URDALETOVA

It is known that among the methods used in solving systems of linear algebraic equations, the Cramer method has a number of disadvantages compared to the Gauss method, in particular: the inability to write out solutions to a system that has many solutions; the cumbersomeness of calculations with large system size. However, when applied to systems with a square matrix, it is, in a sense, more convenient than the Gauss method. The authors of this work developed and proposed a method in which they tried to combine the advantages of the Cramer and Gauss methods. In this paper, the Cramer-Gauss met ...More

Access to Files

Waveform Correlation Based Harmonic Voltage Contribution Determination of Iron and Steel Plants Supplied From PCC

Özgül SALOR-DURNA

In this research work, a new method which determines the individual harmonic voltage contributions of the EAF plants supplied from a point of common coupling (PCC) to the PCC voltage is presented. EAFs are one of the most significant sources of the harmonics, especially the uncharacteristic ones, therefore it is important to be able to discriminate the amount of individual contributions from the feeders of a PCC supplying multiple EAFs. The proposed method uses the relationship derived between the correlation coefficient of the PCC voltage and the feeder current waveforms and the harmonic volt ...More

Access to Files

Kırgız Türklerinin Halk Hekimliğinde Mitolojik Bir Sağaltım Unsuru: Kaplumbağa ve Yumurtası

Arzu KİYAT

Türk mitolojisinde kaplumbağa sembolizmi büyük ölçüde Çin ve Hint inanışları temelinde gelişmiştir. Kaplumbağa doğurganlığın, uzun yaşamın ve ölümsüzlüğün sembolü olarak çeşitli inanış ve pratiklerle gündelik yaşantının içinde yer edinen bir hayvandır. Yumurta ise mitolojide yaratılış söylencelerinin başlangıcı ve doğurganlığın sembolü olarak görülmektedir. Kaplumbağa ve yumurta bahsedilen özelliklerin yanı sıra Türk kültüründe şifasına başvurulan iki önemli unsur olarak sağaltımda etkin rol oynamaktadır. Kırgız Türklerinin halk hekimliği pratiklerinde kaplumbağa ve yumurtası; kanser, çeşitli ...More

Access to Files

Properties of ZnO and Zn Nanoparticles Produced by Electrical Discharge in Liquid Method

Emil ÖMÜRZAK

The physical processes used to synthesize nanoparticles today are labor-intensive and inefficient in terms of energy use. Our approach, which we employed to create nanoparticles, is straightforward and economical. Using this technique, we synthesized Zinc Oxide (ZnO) nanoparticles and investigated their characteristics using several characterization techniques. We can regulate the form and size of our nanoparticles by altering the experimental conditions, as demonstrated by our investigations. This demonstrates the importance of experimental parameters in synthesizing ZnO nanoparticles by this ...More

Access to Files

On the R -compactification of uniform spaces

As it is well known, there are various constructions of the R-compactification (Hewitt real compactification) of a uniform space [13], [15]. In this work we propose a new construction of the R-compactification (Hewitt real compactification) of a uniform space. Keyword: A0-boundedness; R-compactification; R-completeness.; R-extension

Access to Files

Classification of high frequency transient events buried in low frequency sampled PMU data

Özgül SALOR-DURNA

This paper presents a deep-learning based method for the classification of transient events of the power system using the data collected by a standard Phasor Measurement Unit (PMU). Although transient power system events are high-frequency variations of the voltages and currents, it leaves a trace in the PMU time-series data, which are collected at relatively much lower-frequencies. The main motivation of this study is to use low-frequency data recorded by PMU devices, widely used in the industry, for the classification of transient events, which would normally require the use of high-cost pow ...More

Access to Files

Machine learning enabled the design of compact and efficient wavelength demultiplexing photonic devices

Mirbek TURDUEV

In this paper, we introduce the design approach of integrated photonic devices by employing reinforcement learning known as attractor selection (AttSel). Here, we combined 3D FDTD with AttSel algorithm, which is based on artificial neural networks, to achieve ultra-compact and highly efficient wavelength demultiplexers with low crosstalk such as. The presented devices consist of SOI materials, which are compatible with complementary MOS technology. Consequently, the reinforcement learning is successfully applied to design smaller and superior integrated photonic devices. Keyword: inverse desig ...More

Access to Files

Optimal Design of Omni-directional Optical Cloaking by Annular Sectorized Unit-cells

Mirbek TURDUEV

In this manuscript, we demonstrate the design and experimental proof of an optical cloaking structure which multi-directionally conceals a perfectly electric conductor (PEC) object from an incident plane wave. The dielectric modulation around the highly reflective scattering PEC object is determined by an optimization process for multi-directional cloaking purposes. Keyword: component; formatting; insert; style; styling

Access to Files

2D-HASAP: Two-Dimensional Heading-Aided Single-Anchor Positioning via Hidden Markov Model Map-Matching

Özgül SALOR-DURNA

This paper proposes a two-dimensonal positioning method based on a hidden Markov model map-matching scheme. The states of the hidden Markov model are generated by dividing the area of interest into a grid. At each time instant, the method considers two types of measurements: the platform's heading and the two-dimensional distance between the platform and the single-anchor. A recursive Bayesian estimator exploits these measurements to estimate the platform's position. The platform's heading measurement is used to calculate the prior probability distribution. Following this, observation likeliho ...More

Our obligations and policy regarding cookies are subject to the TR Law on the Protection of Personal Data No. 6698.
OK

creativecommons
Bu site altında yer alan tüm kaynaklar Creative Commons Alıntı-GayriTicari-Türetilemez 4.0 Uluslararası Lisansı ile lisanslanmıştır.
Platforms