Elektrik - Elektronik Mühendisliği Bölümü
https://hdl.handle.net/11494/270
2024-03-29T11:37:57ZBasit elektrik devreleriyle ilgili bilgisayar destekli uygulamaların deneysel süreç becerilerinin gelişimine etkisi
https://hdl.handle.net/11494/3973
Basit elektrik devreleriyle ilgili bilgisayar destekli uygulamaların deneysel süreç becerilerinin gelişimine etkisi
Ulukök, Şeyma; Çelik, Harun; Sarı, Uğur
The experimental and control groups were composed of 30 sophomores majoring in Classroom
Teaching for this study investigating the effects of computer-assisted instruction of simple circuits on the
development of experimental process skills. The instruction includes experiments and studies about simple circuits
and its elements (serial, parallel, and mixed conncetions of resistors) covered in Science and Technology Laboratory
II course curriculum. In this study where quantitative and qualitative methods were used together, the control list
developed by the researchers was used to collect data. Results showed that experimental process skills of sophomores
in experimental group were more developed than that of those in control group. Thus, it can be said that computerassisted instruction has a positive impact on the development of experimental process skills of students.; Simülasyon ile desteklenen fen ve teknoloji laboratuvar uygulamalarının öğrencilerin deneysel süreç
becerilerine etkisinin incelendiği bu araştırma için Sınıf Öğretmenliği Anabilim Dalı ikinci sınıfta öğrenim gören 30
öğrenciden deney ve kontrol grubu oluşturulmuştur. Öğretim etkinlikleri, Fen ve Teknoloji Laboratuvar
Uygulamaları II dersi içeriğinde yer alan deneyleri, basit elektrik devreleri kurma ve devre elemanlarının kullanımı
(dirençlerin seri, paralel ve karışık bağlanması) ile ilgili çalışmaları kapsamaktadır. Nicel ve nitel araştırma
yöntemlerinin bir arada kullanıldığı bu çalışmada veri toplama aracı olarak araştırmacılar tarafından geliştirilen
“Kontrol Listesi” ve yarı-yapılandırılmış görüşme formu kullanılmıştır. Uygulama sonrası elde edilen verilerin
istatistiksel analizleri, deney grubundaki öğrencilerin deneysel süreç beceri düzeylerinin kontrol grubundaki
öğrencilerinkinden anlamlı düzeyde yüksek olduğunu göstermektedir.
2013-01-01T00:00:00ZAn improvement of current driving and electrical conductivity properties incovetics
https://hdl.handle.net/11494/3950
An improvement of current driving and electrical conductivity properties incovetics
Atasoyu, Mesut; Oral, Emin Argun; Ertuǧrul, Mehmet
: Compared to pure Cu, Cu lattice retaining carbon atoms, called a covetic material, can have better
electrical conductivity. Furthermore, the incorporation of carbon nanostructures into Cu-alloys could improve
the mechanical properties of Cu-alloys. In the simulation study, we investigated Joule heating due to applied DC
current on molten Cu metal concerning how to improve current density of covetic materials. In addition, we will
discuss interfacial effects on covetic-metal electrodes to meet better current driving performance. The covetic
composite excited at one electrode (width = 10 nm) has a higher current drive capability as a value of 3.54 107
A/m2
, for 1000 A current at a temperature of 1073.2 K, this value is a constant while temperature is changing
up to 1573.2 K. We measured the conductivity of the proposed covetic materials at various carbon nanotube
densities at room temperature. Experimental results show the lowest resistivity value accomplished after mixing
and temperature annealing as a value of 1.78 10−8 Ω.m, where the covetic sample has 1.27% carbon nanotube
density, and that the electrical conductivity is superior to that of Cu-carbon nanotube composites previously
reporte
2022-01-01T00:00:00ZCascaded clustering analysis of electricity load profile based on smart metering data
https://hdl.handle.net/11494/3741
Cascaded clustering analysis of electricity load profile based on smart metering data
Şen Yıldız, Mustafa; Doğanşahin, Kadir; Kekezoğlu, Bedri
In the operation of deregulated power systems, consumption data is used effectively by system operators. Thanks to the developing measurement and communication technologies, measurement data with high temporal resolution can be obtained from many points within the power systems. Considering the number of consumers connected to power systems, the data in question is a big data. To deal with such a large amount data clustering analyzes are effectively used to identify consumers with similar behaviors in consumption data and to represent consumers with similar behaviors with a single load profile. Success of the clustering studies is related with the compatibility of the data to the selected algorithm and the appropriateness of the adopted approaches to the application of the algorithm to the data. In this study, a cascade clustering algorithm created with the k-medoids algorithm is proposed.
13th International Conference on Electrical and Electronics Engineering, ELECO 2021Virtual, Bursa25 November 2021 through 27 November 2021 Code 176537
2021-01-01T00:00:00ZAn improvement of current driving and electrical conductivity properties in covetics
https://hdl.handle.net/11494/3695
An improvement of current driving and electrical conductivity properties in covetics
Atasoyu, Mesut; Oral, Emin Argun; Ertuğrul, Mehmet
Compared to pure Cu, Cu lattice retaining carbon atoms, called a covetic material, can have better
electrical conductivity. Furthermore, the incorporation of carbon nanostructures into Cu-alloys could improve
the mechanical properties of Cu-alloys. In the simulation study, we investigated Joule heating due to applied DC
current on molten Cu metal concerning how to improve current density of covetic materials. In addition, we will
discuss interfacial effects on covetic-metal electrodes to meet better current driving performance. The covetic
composite excited at one electrode (width = 10 nm) has a higher current drive capability as a value of 3.54 107
A/m2
, for 1000 A current at a temperature of 1073.2 K, this value is a constant while temperature is changing
up to 1573.2 K. We measured the conductivity of the proposed covetic materials at various carbon nanotube
densities at room temperature. Experimental results show the lowest resistivity value accomplished after mixing
and temperature annealing as a value of 1.78 10−8 Ω.m, where the covetic sample has 1.27% carbon nanotube
density, and that the electrical conductivity is superior to that of Cu-carbon nanotube composites previously
reporte
2021-01-01T00:00:00Z