Bilge, Ayşe Hümeyra
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Bilge A.
BILGE, Ayşe Hümeyra
Bilge, AYŞE HÜMEYRA
Bilge, Ayse Humeyra
AYŞE HÜMEYRA BILGE
A. Bilge
Bilge,Ayse Humeyra
Ayşe Hümeyra Bilge
Bilge,A.H.
BILGE, AYŞE HÜMEYRA
Kupeli A.
B., Ayşe Hümeyra
Bilge, Ayşe Hümeyra
B.,Ayse Humeyra
Bilge, A. H.
Ayse Humeyra, Bilge
A. H. Bilge
B., Ayse Humeyra
Bilge, A.
Ayşe Hümeyra BILGE
Hümeyra Bilge, Ayşe
Bilge, Ayşe Humeyra
Bilge, Ayşe
Bilge, Ayşe Hümeyra
Bilge, Ayşe Hümeyra
Bilge, Ayşe Hümeyra
BILGE, Ayşe Hümeyra
Bilge, AYŞE HÜMEYRA
Bilge, Ayse Humeyra
AYŞE HÜMEYRA BILGE
A. Bilge
Bilge,Ayse Humeyra
Ayşe Hümeyra Bilge
Bilge,A.H.
BILGE, AYŞE HÜMEYRA
Kupeli A.
B., Ayşe Hümeyra
Bilge, Ayşe Hümeyra
B.,Ayse Humeyra
Bilge, A. H.
Ayse Humeyra, Bilge
A. H. Bilge
B., Ayse Humeyra
Bilge, A.
Ayşe Hümeyra BILGE
Hümeyra Bilge, Ayşe
Bilge, Ayşe Humeyra
Bilge, Ayşe
Bilge, Ayşe Hümeyra
Bilge, Ayşe Hümeyra
Bilge, Ayşe Hümeyra
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Prof. Dr.
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Industrial Engineering
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Sustainable Development Goals
13
CLIMATE ACTION
0
Research Products
2
ZERO HUNGER
0
Research Products
7
AFFORDABLE AND CLEAN ENERGY
2
Research Products
11
SUSTAINABLE CITIES AND COMMUNITIES
5
Research Products
15
LIFE ON LAND
0
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14
LIFE BELOW WATER
0
Research Products
8
DECENT WORK AND ECONOMIC GROWTH
1
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3
GOOD HEALTH AND WELL-BEING
20
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5
GENDER EQUALITY
0
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9
INDUSTRY, INNOVATION AND INFRASTRUCTURE
0
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12
RESPONSIBLE CONSUMPTION AND PRODUCTION
0
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16
PEACE, JUSTICE AND STRONG INSTITUTIONS
0
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1
NO POVERTY
0
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6
CLEAN WATER AND SANITATION
1
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17
PARTNERSHIPS FOR THE GOALS
1
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4
QUALITY EDUCATION
0
Research Products
10
REDUCED INEQUALITIES
0
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Documents
81
Citations
552
h-index
12
Documents
68
Citations
451
Scholarly Output
67
Articles
45
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16/0
Supervised MSc Theses
12
Supervised PhD Theses
1
WoS Citation Count
287
Scopus Citation Count
364
WoS h-index
9
Scopus h-index
10
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0
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0
WoS Citations per Publication
4.28
Scopus Citations per Publication
5.43
Open Access Source
48
Supervised Theses
13
| Journal | Count |
|---|---|
| Journal of Physics: Conference Series | 6 |
| International Journal of Energy Economics and Policy | 5 |
| International Journal of Computational and Experimental Science and Engineering | 2 |
| Modern Physics Letters B | 2 |
| Osmaniye Korkut Ata Üniversitesi Fen Bilimleri Enstitüsü Dergisi (Online) | 2 |
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Article Citation - WoS: 17Citation - Scopus: 24What Can We Estimate From Fatality and Infectious Case Data Using the Susceptible-Infected (sir) Model? a Case Study of Covid-19 Pandemic(Frontıers Medıa Sa, 2020) Ahmetolan, Semra; Bilge, Ayşe Hümeyra; Demirci, Ali; Peker-Dobie, Ayşe; Ergönül, ÖnderThe rapidly spreading Covid-19 that affected almost all countries, was first reported at the end of 2019. As a consequence of its highly infectious nature, countries all over the world have imposed extremely strict measures to control its spread. Since the earliest stages of this major pandemic, academics have done a huge amount of research in order to understand the disease, develop medication, vaccines and tests, and model its spread. Among these studies, a great deal of effort has been invested in the estimation of epidemic parameters in the early stage, for the countries affected by Covid-19, hence to predict the course of the epidemic but the variability of the controls over the course of the epidemic complicated the modeling processes. In this article, the determination of the basic reproduction number, the mean duration of the infectious period, the estimation of the timing of the peak of the epidemic wave is discussed using early phase data. Daily case reports and daily fatalities for China, South Korea, France, Germany, Italy, Spain, Iran, Turkey, the United Kingdom and the United States over the period January 22, 2020-April 18, 2020 are evaluated using the Susceptible-Infected-Removed (SIR) model. For each country, the SIR models fitting cumulative infective case data within 5% error are analyzed. It is observed that the basic reproduction number and the mean duration of the infectious period can be estimated only in cases where the spread of the epidemic is over (for China and South Korea in the present case). Nevertheless, it is shown that the timing of the maximum and timings of the inflection points of the proportion of infected individuals can be robustly estimated from the normalized data. The validation of the estimates by comparing the predictions with actual data has shown that the predictions were realized for all countries except USA, as long as lock-down measures were retained.Editorial Editorial: Compartmental Models for Social Interactions(Frontiers Media Sa, 2024) Bilge, Ayse Humeyra; Peker-Dobie, Ayse; Severin, Irina; Piqueira, Jose Roberto Castilho; Bellingeri, Michele; Prodanov, Dimiter[No Abstract Available]Master Thesis Bankacılık Hisse Senetleri Üzerine Endekse Dayalı Bir Alım Satım Stratejisi Önerisi(Kadir Has Üniversitesi, 2017) Yeniay, Ozan; Bilge, Ayşe HümeyraBatıda uzun zamandır uygulanan, Türkiye'de yeni yeni uygulanmaya başlayan ve her geçen yıl önemini artıran algoritmik alım satım yöntemi yatırımcılara büyük avantajlar sağlamaktadır. Algoritmik alım satım yöntemleri sayesinde küçük yatırımcılar dahi koruma amaçlı fon ( Hedge Fon ) yatırım bankaları ve profesyonel yatırımcılar tarafından uygulanan alım satım tekniklerini uygulayabilmekte ve geriye dönük testlerini yapabilmektedir. Bu tezin amacı algoritmik alım satım teknikleri yardımıyla, eş işlem stratejisine (Pairs Trading) alternatif bir model geliştirilerek, bu modele istinaden yapılabilecek alım satım işlemlerinin performansın incelemektir. Oluşturulan model Borsa İstanbul bünyesinde hesaplanan bankacılık endeksinde yer alan, bankacılık hisselerinde test edilmiştir. Araştırmada, endeksin kendi saatlik volatilitesinin üzerinde bir hareket yapması beklenmiş ve bu hareketin ardından hisse senetlerinin de hareketi takip etmesi gerektiği varsayımı üzerinden iki ana alım stratejisi oluşturularak bu stratejilerin geriye dönük test ve optimizasyonları yapılmıştır. Seçilen hisse senetlerinin endeks ile korelasyonunun yüksek olması dikkate alınmıştır. Hisse senetleri ve endekslerin korelasyonları ve volatiliteleri Matlab programı vasıtasıyla hesaplanmış ve geriye dönük testler Matriks programının "system tester" modülü kullanılarak gerçekleştirilmiştir. Araştırma Türkiye'de siyasi ve ekonomik risklerin arttığı 2013 yılı sonrasını kapsamaktadır ve bu süreçte dahi, geliştirilen stratejiler sayesinde al tut stratejisi ve piyasa faiz oranının üzerinde getiriler elde edilmiştir.Article Citation - WoS: 44Citation - Scopus: 52Hourly Electricity Demand Forecasting Using Fourier Analysis With Feedback(Elsevıer, 2020) Yükseltan, Ergün; Yücekaya, Ahmet; Bilge, Ayşe HumeyraWhether it be long-term, like year-ahead, or short-term, such as hour-ahead or day-ahead, forecasting of electricity demand is crucial for the success of deregulated electricity markets. The stochastic nature of the demand for electricity, along with parameters such as temperature, humidity, and work habits, eventually causes deviations from expected demand. In this paper, we propose a feedback-based forecasting methodology in which the hourly prediction by a Fourier series expansion is updated by using the error at the current hour for the forecast at the next hour. The proposed methodology is applied to the Turkish power market for the period 2012-2017 and provides a powerful tool to forecasts the demand in hourly, daily and yearly horizons using only the past demand data. The hourly forecasting errors in the demand, in the Mean Absolute Percentage Error (MAPE) norm, are 0.87% in hour-ahead, 2.90% in day-ahead, and 3.54% in year-ahead horizons, respectively. An autoregressive (AR) model is also applied to the predictions by the Fourier series expansion to obtain slightly better results. As predictions are updated on an hourly basis using the already realized data for the current hour, the model can be considered as reliable and practical in circumstances needed to make bidding and dispatching decisions.Article Citation - WoS: 4Citation - Scopus: 11A Susceptible-Infectious (si) Model With Two Infective Stages and an Endemic Equilibrium(Elsevier, 2022) Ahmetolan, Semra; Demirci, Ali; Bilge, Ayse Humeyra; Dobie, Ayse PekerThe focus of this article is on the dynamics of a susceptible-infected model which consists of a susceptible group (S) and two different infectious groups (I-1 and I-2). Once infected, an individual becomes a member of one of these infectious groups which have different clinical forms of infection. In addition, during the progress of the illness, an infected individual in group I-1 may pass to the infectious group I-2 which has a higher mortality rate. The infection is deadly and it has no cure. In this study, positiveness of the solutions for the model is proved. Stability analysis of species extinction, I-1-free equilibrium and endemic equilibrium as well as disease-free equilibrium is studied, and it is shown that the disease-free equilibrium is stable whereas all other equilibrium points are asymptotically stable for parameter ranges determined by certain inequalities. In addition, relations between the basic reproduction number of the disease and the basic reproduction number of each infectious stage are examined. Furthermore, the case where all newborns from infected mothers are also infected is analysed. For this type of vertical transmission, endemic equilibrium is asymptotically stable for certain parameter ranges. Finally, a special case which refers to the disease without vital dynamics is investigated and its exact solution is obtained. (c) 2021 International Association for Mathematics and Computers in Simulation (IMACS). Published by Elsevier B.V. All rights reserved.Master Thesis Sabit Oranlı Portföy Sigortalama Stratejisinde Sabit Çarpanın Fiyat / Kazanç Oranı Yardımı ile Belirlenmesi ve Bir Uygulama(Kadir Has Üniversitesi, 2014) Özer, Özen; Bilge, Ayşe Hümeyra; Horasanlı, MehmetSabit Oranlı Portföy Sigortası temelde riskli ve risksiz varlıktan oluşmaktadır. Portföydeki riskli varlık oranı "Sabit Çarpan" ve "Yastık Tutarı" parametreleri ile belirlenmektedir. Portföy sigortasında yatırımcıya önceden belirlenen bir oranda garanti verilmektedir. Bu strateji literatürde Sabit Çarpan'ın portföyün ömrü boyunca sabit olduğu durumlar için incelenmiştir. Bu çalışmada Sabit Çarpan'm piyasa koşullarına göre revize edildiği durum incelenmiştir. Portföydeki riskli varlığın getirisini maksimize etmek için en ideal senaryo, piyasanın yükseliş trendinde olduğu zamanlarda Sabit Çarpanı arttırarak kazancı maksimize etmek, düşüş trendinde olduğu zamanlarda ise azaltarak kaybı minimize etmek, diğer zamanlarda ise Sabit Çarpanı optimal bir değerde tutmaktır. Bu çalışmada, riskli varlığa ait geriye dönük F/K oranı verileri normalize edilerek, F/K oranının standart sapmasının genel seyrini incelememizi sağlayacak bir hareket bandı oluşturulmuş ve riskli varlığın aşırı değer kazandığı ve aşırı değer kaybettiği seviyeler standart sapmalar cinsinden belirlenmiştir. Bu seviyeler destek ve direnç indikatörleri olarak yorumlanarak, riskli varlığın aşırı değer kaybettiği sınır seviyesinde çarpan seviyesini arttırmak sureti ile riskli varlığın yükseliş trendinde getirisinin maksimize edilmesi, riskli varlığın aşırı değer kazandığı durumlarda ise çarpan seviyesini düşürmek sureti ile riskli varlığın düşüş trendinde zararın minimize edilmesi amaçlanmıştır. Bu çalışmada 14.08.2007-12.09.2013 tarihleri arasındaki BİST30 endeksi riskli varlık getirisi, KYD182 endeksi (iki yıllık tahvil getirisi endeksi) ise risksiz varlık getirisi olarak kabul edilmiş ve riskli varlık verileri üzerinde geriye dönük teste tabi tutularak Sabit Oranlı Portföy Sigortası'nm en önemli özelliği olan Koruma Tabanı'nm ihlali ve portföy getirisi üzerindeki etkileri incelenmiştir.Article Citation - WoS: 12Citation - Scopus: 15Forecasting Models for Daily Natural Gas Consumption Considering Periodic Variations and Demand Segregation(Elsevier Ltd, 2020) Yükseltan, Ergün; Yücekaya, Ahmet; Bilge, Ayşe Hümeyra; Ağca Aktunç, EsraDue to expensive infrastructure and the difficulties in storage, supply conditions of natural gas are different from those of other traditional energy sources like petroleum or coal. To overcome these challenges, supplier countries require take-or-pay agreements for requested natural gas quantities. These contracts have many pre-clauses; even if they are not met due to low/high consumption or other external factors, buyers must completely fulfill them. A similar contract is then imposed on distributors and wholesale consumers. It is, thus, important for all parties to forecast their daily, monthly, and annual natural gas demand to minimize their risk. In this paper, a model consisting of a modulated expansion in Fourier series, supplemented by deviations from comfortable temperatures as a regressor is proposed for the forecast of monthly and weekly consumption over a one-year horizon. This model is supplemented by a day-ahead feedback mechanism for the forecast of daily consumption. The method is applied to the study of natural gas consumption for major residential areas in Turkey, on a yearly, monthly, weekly, and daily basis. It is shown that residential heating dominates winter consumption and masks all other variations. On the other hand, weekend and holiday effects are visible in summer consumption and provide an estimate for residential and industrial use. The advantage of the proposed method is the capability of long term projections, reflecting causality, and providing accurate forecasts even with minimal information.Article Citation - WoS: 2Citation - Scopus: 2Determination of Epidemic Parameters From Early Phase Fatality Data: a Case Study of the 2009 A(h1n1) Pandemic in Europe(World Scientific Publ Co Pte Ltd, 2018) Bilge, Ayşe Hümeyra; Samanlıoğlu, FundaThis paper demonstrates that the susceptible-infected-removed (SIR) model applied to the early phase of an epidemic can be used to determine epidemic parameters reliably. As a case study the SIR model is applied to the fatality data of the 2009 fall wave cycle of the A(H1N1) pandemic in 12 European countries. It is observed that the best estimates of the basic reproduction number R-0 and the mean duration of the infection period 1/eta lie on a curve in the scatterplots indicating the existence of a nearly-invariant quantity which corresponds to the duration of the epidemic. Spline interpolation applied to the early phase of the epidemic an approximately 10-week period together with a future control point in the stabilization region is sufficient to estimate model parameters. The SIR model is run over a wide range of parameters and estimates of R0 in the range 1.2-2.0 match the values in the literature. The duration of the infection period 1/eta is estimated to be in the range 2.0-7.0 days. Longer infection periods are tied to spatial characteristics of the spread of the epidemic.Conference Object On the Uniqueness of the Octonionic Instanton Solution on Conformally Flat 8-Manifolds(IOP Publishing Ltd, 2016) Bilge, Ayşe HümeyraLet M be an 8-manifold and E be an SO(8) bundle on M. In a previous paper [F. Ozdemir and A.H. Bilge, "Self-duality in dimensions 2n > 4: equivalence of various definitions and the derivation of the octonionic instanton solution", ARI (1999) 51:247-253], we have shown that if the second Pontrjagin number p(2) of the bundle E is minimal, then the components of the curvature 2-form matrix F with respect to a local orthonormal frame are F-ij = c(ij)omega(ij), where c(ij)'s are certain functions and the omega(ij)'s are strong self-dual 2-forms such that for all distinct j, k, l, the products omega(ij)omega(jk) are self dual and omega(ij)omega(kl) are anti self-dual. We prove that if the c(ij)'s are equal to each other and the manifold M is conformally flat, then the octonionic instanton solution given in [B.Grossman, T.W.Kephart, J.D.Stasheff, Commun. Math. Phys., 96, 431-437, (1984)] is unique in this classMaster Thesis Ayvansaray mahallesinin tarihsel cevre analizi(Kadir Has Üniversitesi, 2018) Kaplan, Furkan; Bilge, Ayşe HümeyraPortfoy sigortasi yatirimcilari piyasa dususlerinden korumak ve piyasa yukselislerinde portfoyun degerini artirmak icin dunya capinda kullanilan bir stratejidir. Sabit oranli portfoy sigortasi da bu konu basligi altina bulunan yontemlerden bir tanesidir. Sabit oranli portfoy sigortasi portfoyunde riskli ve risksiz varlik bulundurup dinamik bir sekilde denge tutmaktadir. Portfoy sigortasi kullanilan donem basinda kararlastirilan taban degeri koruma sozu vermektedir. Bu dengeyi sabit carpan ve koruma orani gibi stratejide kullanilan parametreler yardimi ile yapmaktadir. Bu calismada da yuksek getiri amaclayan bir riskli portfoy olusturulup piyasa kosullarina gore revize edilen bir sabit carpan ile donem sonunda toplam portfoy buyuklugunu maksimize etmek amaclanmistir. Portfoyde bulunan riskli varligi olustururken BÝST-30’da bulunan hisse senetleri kullanilip bu hisse senetlerinin BÝST-30 ile olan korelasyonlari bakilarak secim yapilmistir. Ayrica hisselerin portfoydeki agirliklari Markowitz Teoremi yardimiyla hesaplanmistir. Riskli varlik portfoyunun getirisini maksimum duzeye tasimak amaci ile sabit carpan piyasa yukselislerinde artirilmis dususlerinde ise azaltilmistir. Bu duzenleme islemi Finansal Varliklari Fiyatlama Modeli’nde bulunan beklenen getiri hesaplanarak isleme dahil olmustur. Bu calismada iki ana uygulama mevcut olup bu uygulamalarinda kendi icinde sabit carpan degisimi yapilmis ve yapilmamis versiyonlari kiyaslanmaktadir. Uygulamada 02.01.2008-16.02.2018 tarihleri arasindaki veriler baz alinmis olup tezin amaci olarak calistirilan stratejinin taban degerin asimi donem sonu portfoy buyuklugu ve BÝST-30 endeksi ile farklari incelenmistir.
