Sürdürülebilir Kalkınma Amaçları
Yazarlar
- Yildirim, Ozal(10)
- Bulut, Hasan(9)
- Atangana, A(8)
- Baskonus, HM(8)
- Bulut, H(8)
- Demir, Yakup(8)
- Hammouch, Z(8)
- Karakose, Mehmet(8)
- Mekkaoui, T(8)
- Baskonus, Haci Mehmet(7)
- Yilmazer, Merve(7)
- Orhan, Ahmet(5)
- Agoujil, S(4)
- Aslan, Serpil(4)
- Baloglu, Ulas Baran(4)
- Belgacem, FB(4)
- Boydak, Merve(4)
- Caliskan, Abuzer(4)
- Cattani, C(4)
- Celik, Erkan(4)
- Kaya, Mehmet(4)
- Talo, Muhammed(4)
- Çil, Zeynel Abidin(4)
- Özceylan, Eren(4)
- Barros, J.(3)
- Benedicenti, L.(3)
- Cachim, P.(3)
- Drobne, S.(3)
- El Naggar, H.(3)
- Eristi, Belkis(3)
- Eristi, Huseyin(3)
- Gunay, Mihriban(3)
- Kljajic Borstar, M.(3)
- Koseoglu, Murat(3)
- Mete, Süleyman(3)
- Sivasundaram, S(3)
- Uyanik, Hakan(3)
- Yalcin, Beyza Furtana(3)
- Yilmaz, Mehmet(3)
- Zadnik Stirn, L.(3)
Yayınlar
- BildiriYalnız künye2017Determination of optimum conditions of crystal violet dye adsorption on almond shells
Göksu, Ali; Tanaydin, Mehmet Kayra; Akdemir, A.O.; Ekinci, A.; Han, I.; Oztekin, A.; Set, E.; Dadasoglu, F.; Karagoz, K.
Almond shells are considered as agricultural waste. In this study almond shells were chosen as effective adsorbents for removing Crystal Violet (CV) from dye solutions. The experimental data was analyzed via the Langmuir, Freudlich and Tempkin isotherm models to obtain isotherm model for the system and the data shows that the Langmuir isotherm model fitted best. Also, the thermodynamics parameters such as ΔH0, ΔG0 and ΔS0 were investigated. The results of the study show that almond shells are efficient and advantageous economically for removing CV from aqueous solutions. The maximum adsorption capacity was found to be 1.1375mg/g on almond shell. Adsorption kinetic studies indicate that the adsorption data can be represented by a pseudo second order model.
AtıfScopus4WoS4OpenAlex4
İncele - BildiriYalnız künye2017A heuristic algorithm for assembly line balancing with stochastic sequence-dependent setup times
Çil, Zeynel Abidin; Mete, Süleyman; Özceylan, Eren; Diri Kenger, Zülal; Çil, Hande
Having analyzed studies on the assembly line balancing problem considering setup times, a few papers are observed. However, researches show that setup time plays an important role in total production time. Besides, in these studies, the setup times are assumed to be deterministic. Considering setup times to be deterministic decreases proximity of problem to real life application. Because the operation and setup times may vary in real applications due to human factors, machine breakdowns, lack of equipment and environmental factors. Therefore, in this study, assembly line balancing problem is investigated considering the sequence-dependent stochastic setup times. A heuristic approach based on COMSOAL is presented for the problem and it is seen that algorithm is effective for the problem.
AtıfScopus2İncele - BildiriAçık Erişim2017Facial emotion recognition on a dataset using Convolutional Neural Network
Tümen, Vedat; Söylemez, Ömer Faruk; Ergen, Burhan
Nowadays, deep learning is a technique that takes place in many computer vision related applications and studies. While it is put in the practice mostly on content based image retrieval, there is still room for improvement by employing it in diverse computer vision applications. In this study, we aimed to build a Convolutional Neural Network (CNN) based Facial Expression Recognition System (FER), in order to automatically classify expressions presented in Facial Expression Recognition (FER2013) database. Our presented CNN achieved % 57.1 success rate on FER2013 database.
AtıfScopus68OpenAlex83İncele - BildiriAçık Erişim2017Smart Home Assistant for Ambient Assisted Living of Elderly People with Dementia
Demir, Eren; Köseoǧlu, Erdem; Sokullu, Radosveta; Şeker, Burhan; Shakshuki, E.
It is the nature of life that with advancing age human brain cells are damaged and brain functions degrade, which is manifested by memory loss, lack of concentration, reduced judgement abilities as well as speaking problems and even noticeable changes in personality and behavior. When a number of these symptoms collectively detected in a person, he usually diagnosed with dementia. These people have problems in managing their daily activities and shortly become unable to live by themselves. Ways to prolong the independent life of elderly people have drawn the attention of a large scientific community. In this paper, we present an integrated system design that allows collection, recording and transmission through a cloud application of the data from different sensors placed in a house of a person having dementia. The concept of this work is a part of the so-called Internet of Things (IoT) where information from smart things around us can be evaluated and transmitted over the internet. Peer-review under responsibility of the Conference Program Chairs.
AtıfScopus50WoS32OpenAlex59İncele - BildiriYalnız künye2016Predicting Links in Weighted Disease Networks
Gül, Serpil; Kaya, Mehmet; Kaya, Buket
This paper proposes a link prediction method to estimate what sort of disease risks may have been carried by the patients via surveying their and similar patients' medical histories. It is possible to make future oriented predictions with link prediction by deriving new data within a network structure. It is attempted to estimate the future structure of the network and the relations which will be created or abandoned by the individuals on the basis of the nodes within the network structure and the relations between these nodes. For this purpose, an undirected weighted disease network is first created by using the data of patients which were subjected to Hemogram test at F. rat University Hospital during 2013. In the disease network, each node represents a disease and the links represent a relationship between diseases. By the developed method, then disease risk prediction is made through a proactive approach by determining what sorts of disease risks were carried by the patients applying with certain complaints. Experimental results demonstrate the applicability of the link prediction in these networks.
AtıfWoS11İncele - BildiriYalnız künye2016An Online Electric Power Quality Disturbance Detection System
Yildirim, Ozal; Eristi, Belkis; Eristi, Huseyin; Ünal, Sencer; Erol, Yavuz; Demir, Yakup
In this study, an FPGA based online monitoring system was developed for detection of power quality disturbances. The developed system has the capability to instantly detect commonly seen PQ disturbances such as voltage sag, voltage swell and interruption occurring on real-time three-phase voltage signals obtained from the electric power system. The data of the detected disturbance events are transferred to the visual software prepared in the computer environment by means of the UDP/IP communication module embedded in the FPGA. This PQ disturbance detection system was tested upon installation at three different measuring points across the campus of Tunceli University. It was seen from the test results examined that the detection system successfully identified the PQ disturbance events.
- BildiriAçık Erişim2016Scopus SJRQ1Comprehensive computational analysis of Theileria annulata enolase by comparative modeling and docking
Mutlu, Ozal; Yakarsonmez, Sinem; Sariyer, Emrah; Danis, Ozkan; Dursun, Basak Yuce; Topuzogullari, Murat; Akbulut, Ekrem; Turgut-Balik, Dilek
- BildiriYalnız künye2016A Real-Time Power Quality Disturbance Detection System Based On The Wavelet Transform
Eristi, Belkis; Yildirim, Ozal; Eristi, Huseyin; Demir, Yakup
Disturbances occurring on voltage signals following switching events or faults on power systems are defined as power quality problem. Power quality problems result in significant financial losses in the power systems in addition to faulty operation or breakdown of sensitive loads connected to the power system. Therefore, power quality problems should be swiftly detected and eliminated. This paper proposes a real-time embedded detection system for the purpose of identification of power quality disturbances. The detection system developed has been created using the wavelet transform in the Field Programmable Gate Array (FPGA) media. The general structure of FPGA-based detection system comprises two fundamental parts: hardware and software. Hardware structure comprises signal input card, FPGA and computer components. The software stage includes FPGA and graphical interface software. An experimental setup of the power system has been created in laboratory environment in order to test the FPGA-based detection system, determine accuracy rates and assess its success. Various power quality disturbances have been created over this model in wide parameter intervals. When the results obtained for the real-time power quality disturbance detection system developed under this study are examined, it has been seen that hardware and software designs are quite effective, fast and of high achievement performance.
- BildiriYayıncıda açık erişim2016SOME characteristic properties of analytical method of magnetic control of ferroimpurities in various primary and technological media
Sandulyak, Anna A.; Sandulyak, Alexander V.; Bulut, Hasan; Baskonus, Haci Mehmet; Polismakova, Maria N.; Sandulyak, Darya A.; Mastorakis, N; Mladenov, V; Bulucea, A
The paper demonstrates that when defining the content of ferroimpurities in the analyzed media by magnetic control based on measuring the ferroimpurities masses m, which are extracted from the media sample step-by-step, it is crucial to define a functional view of the obtained dependence m on the operation order number n. It allows receiving additional forecast data m by extrapolating this dependence. With corresponding calculations being done, it enables determining the sought total mass of ferroimpurities (including their residual mass). We consider alternate solutions of practical tasks which yield magnetic control results in case of linear and piecewise-linear views (in semi-logarithmic coordinates) of the control mass-operational characteristics.
AtıfWoS1OpenAlex2İncele - BildiriAçık Erişim2016Regarding on the Prototype Solutions for the Nonlinear Fractional-Order Biological Population Model
Baskonus, Haci Mehmet; Bulut, Hasan; Simos, T; Tsitouras, C
In this study, we have submitted to literature a method newly extended which is called as Improved Bernoulli sub-equation function method based on the Bernoulli Sub-ODE method. The proposed analytical scheme has been expressed with steps. We have obtained some new analytical solutions to the nonlinear fractional-order biological population model by using this technique. Two and three dimensional surfaces of analytical solutions have been drawn by wolfram Mathematica 9. Finally, a conclusion has been submitted by mentioning important acquisitions founded in this study.
AtıfWoS27OpenAlex40İncele - BildiriYalnız künye2016AN INTUITIONISTIC FUZZY APPROACH FOR EVALUATING SERVICE QUALITY OF PUBLIC TRANSPORTATION SYSTEMS
Celik, Erkan; Gumus, Alev Taskin; Aydin, Nezir; Zeng, X; Lu, J; Kerre, EE; Martinez, L; Koehl, L
Service quality evaluation has become a main area of interest for practitioners, managers, researchers and policy makers, who have inclined on the passengers' service. In this paper, intuitionistic fuzzy TOPSIS approach is applied to evaluate service quality of rail transit systems of Istanbul. A total of 6553 surveys are conducted and analyzed in seven rail lines with respect to 20 service qualities.
AtıfWoS2İncele - BildiriYalnız künye2016Comparison of Physics-Based Optimization Algorithms by Using Benchmark Functions
Kiziloluk, Soner; Özer, Ahmet Bedri
Many of meta-heuristics optimization algorithms which are used to solving optimization problems are inspired from biological evolution, physical, social and chemical processes. Electromagnetism-like Algorithm (EM), Big Bang-Big Crunch Algorithm (BB-BC) and Gravitational Search Algorithm (GSA) are investigated in this study and they are physics-based meta-heuristics techniques. Performances of EM, BB-BC and GSA are compared by using Rastrigin, Rosenbrock and De Jong test functions.
AtıfWoS1İncele - BildiriYalnız künye2015Fault Location on Series Compensated Power Transmission Lines Using Transient Spectrum
Akmaz, Duzgun; Mamis, Mehmet Salih; Arkan, Muslum; Tagluk, M. Emin
Nowadays sustainability and quality of energy have gained more importance. Power outages due to failures particularly cause interruption of production at industrial facilities may lead to loss of manpower and resources. One of the major causes of power outages in the power system is the short-circuit faults occurring in transmission lines. The most important requirement to clear the fault in a short time is to estimate the fault location quickly and accurately. In this study, fault location is determined in series compensated power transmission lines utilizing transient frequency spectrum. It has been shown that the method is suitable for series compensated lines.
AtıfWoS4İncele - BildiriYalnız künye2015Harmonic Analysis in Power Systems With Discrete Fourier Transform
Akmaz, Duzgun; Mamis, Mehmet Salih
Harmonics has become more significant issue due to the increasing of utilization of the non-linear loads and switching elements such as inverter on the power system recently. Harmonics disrupts the shape of the current and voltage signals in power systems and leads to many problems in power systems. It has made harmonic analysis necessary on the power system. Harmonics has become more significant issue due to the increasing of utilization of the non-linear loads and switching elements such as inverter on the power system recently. In this study a method is designed to obtain a basic signal by using Discrete Fourier Transform (DFT) in order to determine harmonics on power systems. The simulation of this method has been implemented by using Matlab/Simulink software package.
AtıfWoS2İncele - BildiriYalnız künye2015An FPGA Based Power Quality Monitoring System
Yildirim, Ozal; Eristi, Belkis; Eristi, Huseyin; Ünal, Sencer; Erol, Yavuz; Demir, Yakup
In this study, a new FPGA based monitoring system has been developed for monitoring the power quality. Designed system performs the calculations of power quality parameters on real-time voltages and currents datas that are obtained from the network. FPGA devices that have recently become more popular in digital signal processing field is used in the structure of monitoring system. Designed power quality monitoring system has been established on electrical distribution panels of Tunceli University Vocational Schools. When the obtained test results are evaluated, it has been observed that the proposed power quality monitoring system is successful.
AtıfWoS1İncele - BildiriYalnız künye2015Scopus SJRQ2Guaianolides from Chrysophthalmum montanum (DC.) Boiss
Gürbüz, Perihan; Dogan, S. Dilem; Pasayeva, Leyla; Dokumaci, Alim Huseyin; Eroglu, Duygu; Paksoy, Mehmet Yavuz; Yerer-Aycan, Mukerrem Betul
- BildiriYalnız künye2014DESIGNING IN-WHEEL SWITCHED RELUCTANCE MOTOR FOR ELECTRIC VEHICLES
Yildirim, M.; Polat, M.; Öksüztepe, E.; Omaç, Z.; Yakut, O.; Eren, H.; Kaya, M.; Kürüm, H.
Estimation of dimension parameters for an electrical machine has great importance before manufacturing. For this reason, analytical design should be performed in an optimum form. While motor analysis is accomplished by package programs, initial size parameters are intutivily provided and then various trials are examined to get optimum results. In this study, we are trying to find dimensional and electrical parameters generating mathematical equations in analytic approaches for In-Wheel Switched Reluctance Motor (IW-SRM), which will be employed by Electric Vehicle (EV). Therefore, optimum motor parameters for required speed and torque have been estimated by solving generated equations for in-wheel SRM with 18/12 poles via MATLAB. Using the parameters, analysis of in-wheel SRM has been carried out 3D Finite Element Method (FEM) by Ansoft Maxwell 15.0 Package Software. Consequently, the accuracy of the estimated parameters has been validated by the results of Maxwell 3D FEM.
AtıfWoS10İncele - BildiriYalnız künye2014Estimation of Confidence Regions and Severity of Undefined Faults in Driving using Synthetic Disturbance Signals
Yakut, O.; Eren, H.; Kaya, M.; Oksuztepe, E.; Polat, M.; Omac, Z.; Kurum, H.; Celenk, M.
In this study, we aim to determine fault severity in an electric car that may be caused by yawing due to such disturbances as non-uniform road pavements, in-wheel bearing clearance, suspension system, driver under Influence of alcohol (DUI), and tire deformation. The major research contribution herein is to alert drivers about an unforeseen situation on steering wheel whether it refers to a severe fault or contemporary states. In a sense, the undertaken study serves as a state of the art driving assistant system operating under unsteady conditions. We determine the fault severity of the system via classifying it into specified confidence regions by estimating the deviation from a monotonous straight route for any unstable situation. In this way, the proposed system informs driver to gain an insight about the severity level of arising problematic scenario. In order to realize the classification of confidence regions, we initially obtain the overall dynamic model of the system. Then, disturbance functions with different amplitudes and frequencies are characterized and included in the dynamic system specification. Here, the confidence regions have been constructed as to respective fault severity level of the car through the system response. Trajectory of vehicle in dynamic driving conditions considering these perturbations and noises are interrelated through the Kalman filtering to predict deviations from the desired trajectory and the prediction error. In simulation scenarios, Dynamic Time Warping (DTW) is employed to obtain deviation from ground truth under different noise functions, and results are sketched graphically assigning rate of fault severity into specified confidence regions. Initially, we have modeled the proposed system considering an electric car although the idea can readily be generalized for all cars with four tires. Presently, fault severity with classified confidence regions has been investigated under a simple car model.
- BildiriYalnız künye2014Scopus SJRQ2An organic-inorganic rectifying contact based on a ZnPc derivative
Ozerden, Enise; Yildiz, Mustafa; Ocak, Yusuf Selim; Tombak, Ahmet; Kilicoglu, Tahsin
An organic-inorganic rectifying contact was fabricated by forming a thin film of a Zinc Phthalocyanine (ZnPc) derivative, Zinc 2,3,9,10,16,17,23,24-octakis(octyloxy)-29H, 31H-phthalocyanine (oc-ZnPc), on a p-Si wafer and evaporating Al on the structure. The current-voltage (I-V) and capacitance-voltage (C-V) measurements of Al/oc-ZnPc/p-Si structure were taken in dark at room temperature. The I-V measurements proved that the structure showed excellent rectification. Some basic diode parameters like ideality factor and barrier height were calculated from lnI-V plot. Ideality factor and barrier height values were found as 144 and 0.78 eV, respectively. The series resistance value of the structure was determined as 5.46 k Omega by means of Norde functions. The C-V measurements were taken for various frequencies and it was seen that the capacitance value decreased with increasing frequency. In addition I-V measurements of the Al/oc-ZaPc/p-Si/Al were repeated under light which had illumination intensity of 40-100 mW/cm(2). It was observed that reverse bias current of the diode increased with the light intensity. Therefore, the structure showed photodiode characteristics and it can be used for electrical and optoelectronic applications. (C) 2014 Elsevier Ltd. All rights reserved.
AtıfWoS10OpenAlex12İncele - BildiriAçık Erişim2013Vocational School Students' Attitudes Towards Internet
Tuncer, Murat; Dogan, Yunus; Tanas, Ramazan; Isman, A; Siraj, S; Kiyici, M
Internet is shown among the main ways of learning in many recent research findings. Many masses like personnel and students prefer meeting their need for obtaining knowledge with internet above all. This positive impact of internet on learning can be better increased with the determination and direction of various psychological perceptions of the learners'. One of these psychological traits is attitude towards Internet. In this study, 265 undergraduate students', from various departments of Tunceli Vocational School of Tunceli University, attitudes towards internet were investigated. The Attitude Towards Internet Scale was used as the data collection instrument. The opinions gathered with the application of the scale were compared in terms of gender, grade, experience of computer education, age and field of study variables. Some of the findings are as following: the attitude towards internet does not differentiate meaningfully in terms of gender and grade variables; whereas there is a meaningful difference of opinions in terms of the field of study variable. (C) 2013 The Authors. Published by Elsevier Ltd.
AtıfWoS1OpenAlex4İncele