Sürdürülebilir Kalkınma Amaçları
Yazarlar
- Yildirim, Omer(3)
- Bekiryazici, Z.(2)
- Bingöl, Ozkan(2)
- Kadiogullari, Ali Ihsan(2)
- Kayikçioglu, Temel(2)
- Merdan, M.(2)
- Özcan, Zubeyir(2)
- Aydin, Musa(1)
- Bahyl, Jan(1)
- Baskent, Emin Zeki(1)
- Bekiryazici, Zafer(1)
- Biber, Peter(1)
- Black, Kevin(1)
- Borges, Jose G.(1)
- Botequim, Brigite(1)
- Brukas, Vilis(1)
- Bugalho, Miguel N.(1)
- Corradini, Giulia(1)
- Emam, Walid(1)
- Eriksson, Ljusk Ola(1)
- Eroǧlu, Hasan(1)
- Felton, Adam(1)
- Forsell, Nicklas(1)
- Hengeveld, Geerten M.(1)
- Hoogstra-Klein, Marjanke A.(1)
- Karahalil, Uzay(1)
- Kayikcioglu, Temel(1)
- Kayikçioglu, Ilknur(1)
- Keles, Sedat(1)
- Kesemen, T.(1)
- Kesemen, Tulay(1)
- Khaniyev, T.(1)
- Khaniyev, Tahir(1)
- Köse, Cemal(1)
- Lindbladh, Matts(1)
- Lodin, Isak(1)
- Lundholm, Anders(1)
- Makrickiené, Ekaterina(1)
- Masiero, Mauro(1)
- Merdan, Mehmet(1)
Yayınlar
- MakaleAçık Erişim2025Log-transformed approaches to variance estimation using auxiliary data
Singh, Poonam; Sharma, Prayas; Singh, Anjali; Zaman, Tolga; Emam, Walid
Reliable statistical inference requires accurate population variance estimate, especially in domains where measurement limitations and intrinsic variability impact data. Applying traditional estimators to skewed or heavy-tailed populations frequently results in inefficient results. We provide a novel class of generalized logarithmic variance estimators that use logarithmic transformations and auxiliary data to stabilize variance and improve estimator performance in order to overcome this constraint. We calculate the suggested estimators' bias and Mean Squared Error (MSE) expressions and assess their effectiveness using comprehensive Monte Carlo simulations with different sample sizes. The suggested estimator, Tr1-, produces a significant reduction in MSE up to 57% increase in efficiency (PRE) at n=600 when compared to the usual estimator. The suggested methodologies resilience and suitability for high-variability situations are further confirmed using real-world datasets. In every context, the findings show that the suggested estimators perform better than the current ones in terms of lower MSE and greater PRE. This research demonstrates how logarithmic transformations may be used to create variance estimators that are more accurate and effective, especially when auxiliary variables are provided.
AtıfWoS3
İncele - MakaleYalnız künye2023Scopus SJRQ4MODELING DISEASE TRANSMISSION DYNAMICS WITH RANDOM DATA AND HEAVY TAILED RANDOM EFFECTS: THE ZIKA CASE
Bekiryazici, Z.; Kesemen, T.; Merdan, M.; Khaniyev, T.
In this study, we investigate a compartmental model of Zika Virus transmission under random effects. Random effects enable the analysis of random numerical characteristics of transmission, which cannot be modeled through deterministic equations. Data obtained from Zika studies in the literature are used along with heavy tailed random effects to obtain new random variables for the parameters of the deterministic model. Finally, simulations of the model are carried out to analyze the random dynamics of Zika Virus transmission. Deterministic results are compared with results from the simulations of the random system to underline the advantages of a random modeling approach. It is shown that the random model provides additional results for disease transmission dynamics such as results for standard deviation and coefficients of variation, making it a valuable alternative to deterministic modeling. Random results suggest around 90% - 120% coefficient of variation for the random model underlining the fact that the randomness should not be ignored for the transmission of this disease.
AtıfScopus2WoS2
İncele - Yüksek Lisans TeziAçık Erişim2022Lamel grafitli (gri) dökme demirlerde dolum hızı, döküm sıcaklığı ve metalürji kalitesinin farklı kesit kalınlıklarında akıcılık özelliklerine etkisinin incelenmesi
Sami Köse
Bu çalışmada, lamel grafitli dökme demir malzemelerin farklı döküm sıcaklıkları, farklı kesit kalınlıkları ve değişen döküm parametrelerinde alaşımın akıcılık özellikleri araştırılmıştır. Bunun için döküm sıcaklığı, metalürji kalitesi, farklı malzemeler, özel olarak tasarlanmış kesit kalınlıkları bulunan akıcılık testi modeli ile hazırlanmış kum kalıplarına dökümü gerçekleştirilmiştir. Böylece değişen döküm koşullarında akıcılık özelliklerinin etkisi ve belirlenen kesit kalınlıklarında sıvı metal ilerleme mesafeleri incelenmiştir. Değişen döküm koşullarında kum kalıbında yapılmış dökümlerde kesit kalınlıklarına bağlı sıvı metal ilerleme mesafesi belirlenerek, FlowCast Döküm simülasyon yazılımları ile modellemeler gerçekleştirilmiştir. Böylece çalışma kapsamında belirlenen parametrelerde değişen döküm şartlarında sıvı metalin akıcılığı ve ilerleme mesafesi deneysel ve modelleme teknikleri ile karşılaştırmalı olarak tespit edilmiştir.
- MakaleAçık Erişim2022Scopus SJRQ4Transmission of Cholera Disease with Laplacian and Triangular Parameters
Merdan, Mehmet; Bekiryazici, Zafer; Kesemen, Tulay; Khaniyev, Tahir
A mathematical model has been introduced for the transmission dynamics of cholera disease by GQ Sun et al. recently. In this study, we add Laplacian and Triangular random effects to this model and analyze the variation of results for both cases. The expectations and co-efficients of variation are compared for the random models and the results are used to comment on the differences and similarities between the effects of these probability distributions. The randomness of the model itself is also investigated through comparison of the random and deterministic outcomes.
AtıfOpenAlex1İncele - BildiriYalnız künye2021BroomyCell: An Introductory Educational Software for Neuroscience
Ozcan, Zubeyir; Yildirim, Omer; Kayikcioglu, Temel
Nerve cells are the basic building blocks of the nervous system. Therefore, the first step in neuroscience education is the introduction of nerve cells. However, both the complexity of nerve cells and the difficulty of their experimental examination make it difficult to test nerve cells practically. Therefore, simulation of nerve cells is found to be significantly effective. The difficulty of examining this type of cells experimentally shows its effect on neuroscience education. This brings to the fore the necessity of virtual laboratory environments designed for use in education. In this study, BroomyCell, which is designed by us as an introductory educational software in neuroscience education, was introduced. With this desktop application, it is aimed that potential neuroscientists learn their fields experimentally and without the need for a physical laboratory.
- MakaleYalnız künye2021Scopus SJRQ3The performance of wong-zakai approximations for the investigation of stochastic differential equation models with nonlinear multiplicative noise
Sengul, S.; Bekiryazici, Z.; Merdan, M.
In this study, Wong-Zakai approximation method has been applied for the analysis of stochastic differential equations appearing in engineering sciences. Wong-Zakai approximation has been used with similar stochastic approximation methods to compare the approximate solutions of the problems and comment on the performance of the method. Models for lake pollution and computer virus spread under antivirus protection have been used with nonlinear stochastic noise as numerical examples to demonstrate the efficiency of Wong-Zakai method.
- MakaleAçık Erişim2020Scopus SJRQ1Forest Biodiversity, Carbon Sequestration, and Wood Production: Modeling Synergies and Trade-Offs for Ten Forest Landscapes Across Europe
Biber, Peter; Felton, Adam; Nieuwenhuis, Maarten; Lindbladh, Matts; Black, Kevin; Bahyl, Jan; Bingöl, Ozkan; Borges, Jose G.; Botequim, Brigite; Brukas, Vilis
Europe's forests provide vital habitat for biodiversity and essential ecosystem services whose provision must be sustained or enhanced over the coming century. However, the potential to secure or increase forest ecosystem services, while securing the habitat requirements of taxa remains unclear, especially within the context of uncertain climate and socio-economic developments. To tease out the associated trade-offs and synergies, we used 10 case study landscapes within nine countries throughout Europe. Starting with the current status of the forests in the case study landscapes, we simulated forest development 100 years into the future. Simulations were embedded in three combined climate and socio-economic frame scenarios based on global and European policies which varied in their climate change mitigation efficiency. Scenarios were translated into country specific projections of climate variables, and resultant demands for wood products. Forest management regimes were projected to vary in response to these scenarios at local scales. The specific combinations of alternative forest management practices were based on parallel research and input from local forest stakeholders. For each case study, a specific forest growth simulator was used. In general, the climate scenarios applied did not cause fundamentally different ecosystem service outputs at the case study level. Our results revealed almost no reduction in outcomes for biodiversity indicators with an increase in wood production, and in some cases synergistic results occurred when diversity was actively promoted as part of the management concept. Net carbon uptake was not strongly correlated with biodiversity, indicating that biodiversity-friendly forest management doesn't need to curtail carbon sequestration. Notably, we obtained heterogeneous results for the relation between sustainable wood production and net carbon uptake. Most scenarios resulted in a more or less reduced net carbon uptake over the long term, often due to stand age class distribution shifts. Levels of sustainable wood production varied widely during the simulation period, from significant increases (Sweden, Lithuania) to minor changes (Slovakia, Turkey) and slight decreases (Ireland, Netherlands). We place our results within the larger context of European forest policy and the challenges of simulating and contrasting forest biodiversity and the ecosystem services that societies depend on.
AtıfScopus75WoS67OpenAlex76İncele - BildiriYalnız künye2018Network Master: A Versatile and User-Friendly Educational Software for Simulation of Neural Networks
Yildirim, Omer; Özcan, Zubeyir; Turhan, Hilal; Kayikçioglu, Temel
In this study, an interface in which neural networks consisting of biological cells could be modeled and simulated using Neuron hoc programming. With this interface, the resulting action potentials and the behavior of the nerve network can be investigated in detail by making the desired stimuli to mathematical models of neural networks. The most important feature of the work is that the designed interface is completely user friendly. Another advantage of this software is that users can easily perform simulations of the neural network models without writing code.
- BildiriYalnız künye2018Cell Master: A Versatile and User-Friendly Educational Software for Simulation of Neuronal Dynamics
Özcan, Zubeyir; Kayikçioglu, Ilknur; Yildirim, Omer; Köse, Cemal; Kayikçioglu, Temel
In this study, A user-friendly, versatile and easily accessible educational software design was done by using NEURON hoc programming in order to investigate the dynamics, biophysical properties of nerve cells and their responses to various stimulation. With the help of interfaces which prepared for users to be assisted visually, it is aimed to be able to easily perform almost any application desired. This software allows users to perform their simulations without the need to write any code. Considering the features given in detail in the study, it has been suggested to use the software in neuroscience education.
- MakaleYalnız künye2016Preparing Forest Management Plans With Spatial Simulation Model
Kadiogullari, Ali Ihsan; Keles, Sedat; Baskent, Emin Zeki; Bingöl, Ozkan
This manuscript presents a simulation-based spatial forest management planning model developed for ecosystem-based multiple use forest planning approach. The general framework of the simulation model was firstly introduced. It was then implemented in a typical forest management planning unit. Four forest management planning scenarios including nonspatial and spatial characteristics were developed. These scenarios were compared in the context of different forest performance indicators (such as allowable cut, growing stock, net carbon sequestration, age-class distribution at the end of the simulation). When compared the simulation-based forest management planning scenarios, it was found that there were no significant changes in timber production levels among scenarios. On the other hand, spatial forest management scenarios controlled forest ecosystem structure and produced more applicable forest management plans.
- MakaleAçık Erişim2013Scopus SJRQ2Simulation of a large electric distribution system having intensive harmonics in the industrial zone of Konya
Eroǧlu, Hasan; Aydin, Musa
In this study, measurements were taken at difierent points of a sample distribution system in order to analyze the levels of harmonics that appear as a day-to-day increasing problem in electrical distribution systems. According to the measurement values, the dominant harmonics have been determined and an electrical model of the system has been prepared using the SimPowerSystems toolbox from MATLAB and Simulink. The accuracy of the electrical model has been verified by the measurement and simulation values. In addition, the transformer connection types' and impedances' simulations have been presented to understand and solve the harmonic problems in electrical distribution systems. With the help of this study, advanced analysis can be performed in the electrical distribution system for power quality analyses and this study can be a background for similar kinds of simulation studies.
AtıfOpenAlex1
İncele