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Browsing by Subject "Instruments & Instrumentation"

Now showing items 1-15 of 16

A digital adaptive filter for detecting harmonic, active and reactive currents

Özdemir, Ayhan (IOP PUBLISHING LTD, 2004)

There have been a number of harmonic and reactive current-detecting methods for active power filters. All of these methods suffer from limitations such as being computationally costly or being sensitive to environmental ...
A photoelectrochemical glucose and lactose biosensor consisting of gold nanoparticles, MnO2 and g-C3N4 decorated TiO2

Çakıroğlu, Bekir; Yigit Can Demirci; Emine Gokgoz; Özacar, Mahmut (ELSEVIER SCIENCE SA, 2019)

In this study, an innovative light-sensitive hybrid material was used for the photoelectrochemical (PEC) biosensor fabrication. Herein, gold nanoparticles modified mesoporous TiO2 was coated on an indium fin oxide substrate, ...
A study on quantitative classification of binary gas mixture using neural networks and adaptive neuro-fuzzy inference systems

Gülbağ, Ali; Temurtaş, Feyzullah (ELSEVIER SCIENCE SA, 2006)

In this study, the feed forward neural networks (FFNNs) were applied and an adaptive neuro-fuzzy inference system (ANFIS) was proposed for quantitative identification of individual gas concentrations (trichloroethylene and ...
A study on radial basis function neural network size reduction for quantitative identification of individual gas concentrations in their gas mixtures

Gülbağ, Ali; Temurtaş, Feyzullah (ELSEVIER SCIENCE SA, 2007)

In this study, the multilayer neural networks (MLNNs) with sigmoid hidden layers and radial basis function neural networks (RBFNNs) were compared for quantitative identification of individual gas concentrations in their ...
A study on the development of a compensation method for humidity effect in QCM sensor responses

Mumyakmaz, Bekir; Özmen, Ahmet; Ebeoglu, Mehmet A.; Cihat Tasaltin; Ilke Gurol (ELSEVIER SCIENCE SA, 2010)

In this study, humidity influence on quartz crystal microbalance (QCM) sensor responses during gas applications is investigated. The goal is to search a compensation method to remove humidity influence over the QCM sensor ...
A study on transient and steady state sensor data for identification of individual gas concentrations in their gas mixtures

Gülbağ, Ali; Temurtaş, Feyzullah (ELSEVIER SCIENCE SA, 2007)

In this study, a comparative study was performed for the quantitative identification of individual gas concentrations (trichloroethylene and acetone) in their gas mixtures using transient and steady state sensor responses. ...
Classification of E-Nose Aroma Data of Four Fruit Types by ABC-Based Neural Network

Adak, Muhammed Fatih; Yumuşak, Nejat (MDPI, 2016)

Electronic nose technology is used in many areas, and frequently in the beverage industry for classification and quality-control purposes. In this study, four different aroma data (strawberry, lemon, cherry, and melon) ...
Column solid phase extraction of copper and nickel on triethylenetetramine bonded silica gel for their atomic absorption spectrometric determination

İmamoğlu, Mustafa (TAYLOR & FRANCIS INC, 2008)

A procedure for the preconcentration of Cu(II) and Ni(II) is proposed using a minicolumn filled with silica gel modified by triethylenetetramine. The retained analytes on the modified silica gel were eluted with hydrochloric ...
Determination of volatile organic compounds in air by a surface acoustic wave array

Özmen, Ahmet; Mehmet Ali Ebeoglu; Bekir Mumyakmaz; Balta, Deniz (TAYLOR & FRANCIS INC, 2016)

This article reports the design and performance of a portable volatile organic compound detection system implemented with a surface acoustic wave array. The system employed electrospray technology for the determination of ...
Determination of volatile organic compounds in air by a surface acoustic wave array

Özmen, Ahmet; Mehmet Ali Ebeoglu; Bekir Mumyakmaz; Balta, Deniz (TAYLOR & FRANCIS INC, 2016)

This article reports the design and performance of a portable volatile organic compound detection system implemented with a surface acoustic wave array. The system employed electrospray technology for the determination of ...
Humidity sensing properties of ferrite based Al-Cd nanoparticles as a fast response sensor device

Şentürk, Erdoğan (ELSEVIER SCIENCE SA, 2016)

The humidity sensing performance of Al-Cd ferrite nanoparticle manufactured by chemical co-precipitation method. The humidity sensing properties of the presented Al-Cd ferrite sensor was investigated by exposing it to a ...
Humidity sensing properties of steatite ceramic containing B2O3

Şentürk, Erdoğan; Duman, Sıtkı; Bağcı, Sadık; H. S. Soykan; Z. Aslanoglu (ELSEVIER SCIENCE SA, 2016)

In this work, humidity sensing properties of steatite ceramic containing with boron oxide was investigated. The properties of the sample were determined by using impedance measurements at a frequency of 10 kHz. These ...
Inorganic-organic photodiodes based on polyaniline doped boric acid and polyaniline doped boric acid:nickel(II) phthalocyanine composite

Kandaz, Mehmet (ELSEVIER SCIENCE SA, 2009)

The electronic and photovoltaic properties of hybrid organic photodiodes based on n-Si/boric acid doped polyaniline (PANIB) and n-Si/2,3,7,8,12,13,17,18-octakis(2'-aminophenylsulfanyl)-substituted-nickel(II) phthalocyanine: ...
Investigation of a non-Newtonian MR fluid flow between parallel plates by developed CFD code for different numerical schemes

Onen, Murat Can; Parlak, Zekeriya (2022)

Magnetorheological (MR) fluids are composed of a solution of micron-sized magnetizable particles dispersed in a carrier fluid, typically oil. Thus, the MR fluids are classified as smart fluids by showing variable apparent ...
Quantitative discrimination of the binary gas mixtures using a combinational structure of the probabilistic and multilayer neural networks

Gülbağ, Ali; Temurtaş, Feyzullah; Yusubov, İsmihan (ELSEVIER SCIENCE SA, 2008)

In this study, the quantitative discrimination of seven different types of binary volatile organic gas mixtures were realized by using a proposed structure which was combination of probabilistic neural networks (PNNs) and ...