TOBB ETU GCRIS Database
Not a member yet
9778 research outputs found
Sort by
1,7-Diazaperylene in Organic Field Effect Transistors
No full textA thorough material characterization of 1,7-diazaperylene via multiple investigation techniques (cyclic voltammetry, photoluminescence, photoluminescence excitation, impedance spectroscopy) was performed to understand its applicability in organic electronic devices. The recorded data of this perylene derivative was placed in conjunction with the respective data of the parent perylene molecule, and the behavior of this novel compound in organic electronic devices (planar diodes and field effect transistors explained). Although no photovoltaic effect behavior was recorded in planar diodes where 1,7-diazaperylene was employed both as a donor as well as an acceptor, the perylene derivatives proves functional as dielectric layer in organic field effect transistors
Addressing Climate Change Through the Waterenergy-Food Nexus Lessons Learned From Turkey
No full text[No abstract available
Ülkü Dergisi Kapak Tasarımları: Cumhuriyet İdeolojisinin Görsel Temsili
No full textartists contributed to this process with visuals that reflected the revolution. In particular, journals published by Community Centers operating throughout the country have been effective in the adoption and dissemination of the Republican ideology and revolutionary principles within society. Ankara Halkevi magazine Ülkü, which was published in 272 issues between February 1933 and August 1950, is important in terms of its writings in various fields such as Turkish language, revolutions, philosophy, history, literature, music, and art policies written by experts in their fields, reflecting the ideology and revolutionary principles of the Republic, as well as the cover designs that are compatible with these articles. The covers of Ülkü magazine, which undertook the written and visual spokesperson of the new regime, included typography, photographs, and artist drawings. The majority of the 89 covers between 16 December 1941 and October 1947, which were the subject of this study, were designed by prominent artists of the Republican period such as Malik Aksel, Turgut Zaim, Şeref Akdik, Cemal Tollu, Melahat Ekinci, Arif Kaptan, Refik Epikman, Ercüment Kalmık, and Arif Kaptan. On these covers, the images of the Republic such as country views, the lives of Anatolian people, folkloric characteristics, villages and villagers, women, the capital Ankara and its surroundings, Republic leaders, national holiday celebrations, monumental sculpture applications, modern lifestyles, and places have been reflected. Although there are many studies on Ülkü magazine, the lack of a study focusing on cover designs has led to the desire to conduct this research. In this article, it will be revealed how the Republic’s imagination of creating a new society and life practices was reflected on the covers of journals and how the ideology and revolutionary principles of the Republic in verbal and literary language were translated into visual language through these covers. These cover designs, a visual transfer of the Republican ideology, are important in terms of both serving the purpose of ensuring its place by settling into the collective memory of the people and giving an idea about the artistic understanding of the Single Party period. It is thought that this study will be useful for those who want to make a complete evaluation of the culture and art of the period and the works to be done about their artists.The structuring and construction of the ideology of the state were carried out between the years 1923 and 1950, through the Turkish Hearths and Community Centers between the years 1923 and 1950, which is called the Early Republican Period. Ten months after the closure of the Turkish Hearths, Community Houses, which were opened in Ankara on February 19, 1932, and which operated throughout the country by benefiting from the tradition and accumulation of the Turkish Quarries, became the dominant institution of the Republic’s cultural and art policies. In a period when the state’s culture and art policies were carried out in a programmatic manner through Community Centers, the power of art was used to explain the ideology of the new regimeDevletin kültür ve sanat politikalarının Halkevleri aracılığıyla programlı bir şekilde yürütüldüğü Erken Cumhuriyet döneminde (1923-1950), yeni rejimin ideolojisini anlatmak amacıyla sanatın gücünden yararlanılmışsanatçılar, devrimi yansıtan görsellerle bu sürece yön vermede katkı sağlamışlardır. Özellikle, ülke çapında faaliyet gösteren Halkevleri tarafından çıkarılan dergiler, Cumhuriyet ideolojisinin ve devrim ilkelerinin yayılmasında etkili olmuşlardır. Yeni rejimin yazılı ve görsel sözcülüğünü üstlenen Ankara Halkevi dergisi Ülkü, Türk dili, devrimler, felsefe, tarih, edebiyat, müzik ve sanat politikaları gibi çeşitli alanlardaki yazılarının yanı sıra içerik ile uyumluluk gösteren kapak tasarımları açısından da önem arz etmektedir. Şubat 1933 ile Ağustos 1950 tarihleri arasında 272 sayı yayımlanan Ülkü dergisi kapaklarının bir kısmında tipografi, fotoğraf ve sanatçı çizimleri yer almıştır. 16 Aralık 1941- Ekim 1947 tarihleri arasına denk gelen ve bu çalışmaya konu edilen 89 kapağın büyük bir çoğunluğu Cumhuriyet döneminin öne çıkan sanatçıları tarafından tasarlanmıştır. Söz konusu kapaklarda yurt manzaraları, Anadolu insanının yaşantısı, folklorik özellikleri, köy ve köylüler, kadınlar, başkent Ankara ve çevresi, Cumhuriyet liderleri, milli bayramlar kutlamaları, anıt heykel uygulamaları, modern yaşam biçimleri ve mekânları gibi konular ele alınmıştır. Ülkü dergisiyle ilgili yapılmış çok sayıda çalışma olmakla birlikte, belirtilen tarih aralığında takip edilen 89 illüstrasyonlu kapak sayfasına, içerik ve tasarım odağında yaklaşan bir çalışmanın olmaması bu araştırmanın yapılma isteğini doğurmuştur. Bu makalede, Cumhuriyet’in yeni bir toplum yaratma tahayyülü ve yaşam pratiklerinin dergi kapaklarına nasıl yansıtıldığı ve sözel/yazınsal dildeki Cumhuriyet ideolojisi ve devrim ilkelerinin yine bu kapaklar yoluyla görsel dile nasıl tercüme edildiği ortaya konacaktır
Zno-Nanoflower Thin Film Photoanodes for Photoelectrochemical Water Splitting: Effect of Ph and Gallium Doping
No full textUtilizing sunlight for energy conversion and storage through photoelectrochemical (PEC) water splitting has been regarded as one of the most featured ways in renewable energy applications. Herein, zinc oxide nanoflower (ZnONF) thin-film photoelectrodes have been prepared using different pH of the reaction solution. Additionally, gallium doping has been applied on the ZnONF thin-film having the highest performance to enhance the PEC efficiency. Consequently, similar to 0.8 mA.cm(-2) of photocurrent density generated on ZnONF photoanode has been enhanced to similar to 1.3 mA.cm(-2) (at 0.4 V vs. Ag/AgCl), while maximum IPCE% reached to 51% at 367 nm via gallium doping.Scientific and Techno- logical Research Council of Turkey (TUBITAK) [315M348, 119M030]This work was financially supported by The Scientific and Techno- logical Research Council of Turkey (TUBITAK) under research 315M348 and 119M030
Automated Dental Panoramic Image Segmentation Using Transfer Learning Based Cnns
No full text29th International Conference on Systems, Signals and Image Processing (IWSSIP) -- JUN 01-03, 2022 -- Sofia, BULGARIAOver the years, deep learning technology improved considerably, and its application areas have expanded. At the same time, the content and size of the datasets used for deep learning have also increased. However, this is not the case for dental datasets. Therefore, in this paper the transfer learning method was used to overcome this disadvantage. Segmentation was performed on 131 dental panoramic X-ray images with two different models based on the transfer learning method. The first model was constructed with pre-trained U-Net using the chest X-ray dataset. As the second model, the pre-trained Inception-ResNet-v2 structure was used. The performances of the methods we developed were compared visually and quantitatively using dice coefficient, accuracy, and intersection over union. While the dice coefficient success of the first model was 87.12%, the success of the second model reached 90.26%. Our new approach of using transfer learning for dental image segmentation proved to be very successful.Tech Univ Sofia,IEEE Bulgaria Sect,IEEE CAS SSC Joint Bulgarian Chapter,Tech Univ Sofia, Res Dev Secto
Kentsel Alan Hareketliliginde Anonim Konum Paylasimi
No full textGPS-equipped mobile devices are increasingly becoming an integral part of our daily lives. Consequently, the number of social networks that provide location based services (LBS) are increasing more and more. A typical service provided by these LBS's is the location check-in services. Location check-in via location-based service have brought privacy issues as each location check-in show the actual location in the geographic plane. This thesis studies the problem of privacy-preserving location update in the context of urban area people mobility. As a result, a data-centric framework is introduced. In the first section, an effective cloaking method has been developed to construct cloaking regions with respect to users' location privacy profile specification under road network. And a mobility model which utilizes these cloaking regions is proposed. Afterwards, related location privacy models have been proposed and algorithms providing location k-anonymity has been developed under road network and velocity-based attack constraints. In the second section, co-localization attacks has been detailed for co-location likely user groups and algorithms providing location k-anonymity has been developed under inference channels arising from user interactions. Within the scope of the thesis, location k-anonymity model is followed as a means to protect location privacy, i.e., the shared location (corresponding to a subgraph) is considered to be location privacy preserving if it contains at least k vertices. In addition, simulated datasets and trajectories are generated, comprehensive experimental studies that implements the proposed mobility model and algorithms has been carried out and their results are presented as well.GPS donanımlı mobil cihazlar günlük hayatın ayrılmaz bir parçası olmaya başladı. Bunun sonucu olarak kullanıcılarına konum tabanlı servis (KTS) sağlayan sosyal ağların sayısı gün geçtikçe artmaktadır. KTS'ler tarafından sunulan ortak bir servis, konum güncelleme servisidir. Konum güncellemeleri coğrafik düzlemdeki gerçek konumu göstermesi sebebiyle, konum tabanlı servis üzerinden yapılan konum güncellemeleri mahremiyet sorunlarını da beraberinde getirmiştir. Bu tezde, insan hareketliliği uygulamaları için kentsel alan hareketliliğinde konum mahremiyeti korumalı konum güncellemesi problemi çalışılmış ve çözümü için veri-merkezli bir çatı önerilmiştir. Tezin ilk bölümünde, kullanıcıların konum mahremiyet profillerine göre ̧sehir ağı üzerinde efektif bir perdelenmiş bölge hesaplama yöntemi geliştirilmiş ve bunu uygulayan bir hareketlilik modeli önerilmiştir. Sonrasında hız tabanlı saldırılar dikkate alınarak ilgili konum mahremiyet modelleri önerilmiş ve konum mahremiyet ihlali yaratan konum güncelleme isteklerini engelleyen algoritmalar geliştirilmiştir. Tezin ikinci bölümünde ise, birlikte bulunma olasılığı olan kullanıcı gruplarına yönelik ortak konumlandırma saldırıları detaylandırılmış ve konum bilgilerinin oluşturabileceği çıkarım kanalları dikkate alınarak ek bir mahremiyet modeli önerilmiş, bu modele göre konum mahremiyetini koruyan algoritmalar geliştirilmiştir. Tez kapsamında konum k-anonimliği, konum mahremiyetini korumak için kullanılmış ve paylaşılan konumun konum mahremiyetini koruması için en az k adet düğüm içermesi olarak düşünülmüştür. Ayrıca, tez çalışması kapsamında simüle verisetleri ve yörüngeler üretilmiş, önerilen hareketlilik modelini ve algoritmaları gerçekleştiren kampsamlı deneysel çalışmalar yapılmış ve sonuçları da sunulmuştur
Measurement of the Energy Asymmetry in T(t)over-Barj Production at 13 Tev With the Atlas Experiment and Interpretation in the Smeft Framework
No full textA measurement of the energy asymmetry in jet-associated top-quark pair production is presented using 139 fb(-1) of data collected by the ATLAS detector at the Large Hadron Collider during pp collisions at root s = 13 TeV. The observable measures the different probability of top and antitop quarks to have the higher energy as a function of the jet scattering angle with respect to the beam axis. The energy asymmetry is measured in the semileptonic t (t) over bar decay channel, and the hadronically decaying top quark must have transverse momentum above 350 GeV. The results are corrected for detector effects to particle level in three bins of the scattering angle of the associated jet. The measurement agrees with the SM prediction at next-to-leading-order accuracy in quantum chromodynamics in all three bins. In the bin with the largest expected asymmetry, where the jet is emitted perpendicular to the beam, the energy asymmetry is measured to be -0.043 +/- 0.020, in agreement with the SM prediction of -0.037 +/- 0.003. Interpreting this result in the framework of the Standard Model effective field theory (SMEFT), it is shown that the energy asymmetry is sensitive to the top-quark chirality in four-quark operators and is therefore a valuable new observable in global SMEFT fits.We thank CERN for the very successful operation of the LHC, as well as the support staff from our institutions without whom ATLAS could not be operated efficiently. We acknowledge the support of ANPCyT, Argentina; YerPhI, Armenia; ARC, Australia; BMWFWandFWF, Austria; ANAS, Azerbaijan; SSTC, Belarus; CNPq and FAPESP, Brazil; NSERC, NRC and CFI, Canada; CERN; ANID, Chile; CAS, MOST and NSFC, China; Minciencias, Colombia; MSMT CR, MPOCR and VSC CR, Czech Republic; DNRF and DNSRC, Denmark; IN2P3-CNRS and CEA-DRF/IRFU, France; SRNSFG, Georgia; BMBF, HGF andMPG, Germany; GSRI, Greece; RGC and HongKong SAR, China; ISF and Benoziyo Center, Israel; INFN, Italy; MEXT and JSPS, Japan; CNRST, Morocco; NWO, Netherlands; RCN, Norway; MEiN, Poland; FCT, Portugal; MNE/IFA, Romania; JINR; MESof Russia andNRCKI, Russian Federation; MESTD, Serbia; MSSR, Slovakia; ARRS and MIZS, Slovenia; DSI/NRF, South Africa; MICINN, Spain; SRC and Wallenberg Foundation, Sweden; SERI, SNSF and Cantons of Bern and Geneva, Switzerland; MOST, Taiwan; TAEK, Turkey; STFC, United Kingdom; DOE and NSF, United States of America. In addition, individual groups and members have received support from BCKDF, CANARIE, Compute Canada and CRC, Canada; COST, ERC, ERDF, Horizon 2020 and Marie Sklodowska-Curie Actions, European Union; Investissements d'Avenir Labex, Investissements d'Avenir Idex and ANR, France; DFG and AvH Foundation, Germany; Herakleitos, Thales and Aristeia programmes co-financed by EU-ESF and the Greek NSRF, Greece; BSF-NSF and GIF, Israel; Norwegian Financial Mechanism 2014-2021, Norway; NCN and NAWA, Poland; La Caixa Banking Foundation, CERCA Programme Generalitat de Catalunya and PROMETEO and GenT Programmes Generalitat Valenciana, Spain; Goran Gustafssons Stiftelse, Sweden; The Royal Society and Leverhulme Trust, United Kingdom. The crucial computing support from all WLCG partners is acknowledged gratefully, in particular from CERN, theATLAS Tier-1 facilities at TRIUMF (Canada), NDGF(Denmark, Norway, Sweden), CC-IN2P3 (France), KIT/GridKA (Germany), INFN-CNAF (Italy), NL-T1 (Netherlands), PIC (Spain), ASGC (Taiwan), RAL (UK) and BNL (USA), the Tier-2 facilities worldwide and large non-WLCG resource providers. Major contributors of computing resources are listed in Ref. [118].ANPCyT, Argentina; YerPhI, Armenia; ARC, Australia; BMWFW, Austria; FWF, Austria; ANAS, Azerbaijan; SSTC, Belarus; CNPq, Brazil; FAPESP, Brazil; NSERC, Canada; NRC, Canada; CFI, Canada; CERN; ANID, Chile; CAS, China; MOST, China; NSFC, China; Minciencias, Colombia; MSMT CR, Czech Republic; MPOCR, Czech Republic; VSC CR, Czech Republic; DNRF, Denmark; DNSRC, Denmark; IN2P3-CNRS, France; CEA-DRF/IRFU, France; SRNSFG, Georgia; BMBF, Germany; HGF, Germany; MPG, Germany; GSRI, Greece; RGC, China; HongKong SAR, China; ISF, Israel; Benoziyo Center, Israel; INFN, Italy; MEXT, Japan; JSPS, Japan; CNRST, Morocco; NWO, Netherlands; RCN, Norway; MEiN, Poland; FCT, Portugal; MNE/IFA, Romania; JINR; MES of Russia, Russian Federation; NRCKI, Russian Federation; MESTD, Serbia; MSSR, Slovakia; ARRS Slovenia; MIZS, Slovenia; DSI/NRF, South Africa; MICINN, Spain; SRC, Sweden; Wallenberg Foundation, Sweden; SERI, Switzerland; SNSF, Switzerland; Canton of Bern, Switzerland; Canton of Geneva, Switzerland; MOST, Taiwan; TAEK, Turkey; STFC, United Kingdom; DOE, United States of America; NSF, United States of America; BCKDF, Canada; CANARIE, Canada; Compute Canada, Canada; CRC, Canada; COST, European Union; ERC, European Union; ERDF, European Union; Horizon 2020, European Union; Marie Sklodowska-Curie Actions, European Union; Investissements d'Avenir Labex, France; Investissements d'Avenir Idex, France; ANR, France; DFG, Germany; AvH Foundation, Germany; Herakleitos programme; Thales programme; Aristeia programme; EU-ESF; Greek NSRF, Greece; BSF-NSF, Israel; GIF, Israel; Norwegian Financial Mechanism 2014-2021, Norway; NCN, Poland; NAWA, Poland; La Caixa Banking Foundation, Spain; CERCA Programme Generalitat de Catalunya, Spain; PROMETEO Programme Generalitat Valenciana, Spain; GenT Programme Generalitat Valenciana, Spain; Goran Gustafssons Stiftelse, Sweden; Royal Society, United Kingdom; Leverhulme Trust, United Kingdo
Optimizing Two-Dimensional Vehicle Loading and Dispatching Decisions in Freight Logistics
No full textThis paper introduces a multi-period, two-dimensional vehicle loading and dispatching problem, called Two-Dimensional Vehicle Loading and Dispatching Problem with Incompatibility Constraints (VLDP). The problem concerns preparing a single-origin single-destination transportation plan of loading required orders to vehicles at the origin and dispatching the vehicles to deliver the orders to the destination within their due dates. The decision maker uses their own fleet of vehicles, with each vehicle having a fixed transportation cost per trip, and may outsource additional vehicles at a higher cost. VLDP involves constraints regarding the due dates of the orders, pairwise incompatibility of orders packed in the same vehicle, incompatibility of orders and vehicles, as well as area and weight capacity of the vehicles. An order can be delivered earlier than its due date, incurring an earliness penalty due to storage requirements at the destination. The objective is to minimize the total vehicle usage and earliness penalty costs. A Mixed-Integer Linear Programming model (MILP) is provided, as well as an Adaptive Large Neighbourhood Search (ALNS) algorithm. Results of computational experiments on instances derived from real-world data show the effectiveness of the ALNS algorithm. © 2022 Elsevier B.V.We gratefully thank Xinerji Technology for data and guidance and Selen Akyol for her assistance with the data preparation and computational study
Wheat Yield Prediction With Machine Learning Based on Modis and Landsat Ndvi Data at Field Scale
No full textAccurate estimation of wheat yield using Remote Sensing-based models is critical in determining the effects of agricultural drought and sustainable food planning. In this study, Winter wheat yield was estimated for large fields and producer fields by applying Normalized Difference Vegetation Index (NDVI) based linear models (simple linear regression and multiple linear regression) and Machine Learning (ML) techniques (support vector machine_svm, multilayer perceptron_mlp, random forest_rf). In this study, depending on the ecological zone, crop sampling was carried out from 380 rainfed parcels where wheat was planted. On the basis of crop development periods (CDP), the highest correlation between NDVI and yield occurred during the flowering period. In this period, coefficient of determination (R2) was 63% in TIGEM fields and 50% in producer fields for MODIS data, and 61% and 65% for Landsat data, respectively. In TIGEM fields, the best prediction performance was obtained with the MLP model for MODIS (RMSE:0.23-0.65 t/ha) and Landsat (RMSE: 0.28-0.64 t/ha). On the other hand, the highest forecasting accuracy was acquired with the SVM model in producer fields. The RMSE values ranged from 0.74 to 0.80 t/ha for MODIS and 0.51 to 0.60 t/ha for Landsat 8. The error value obtained with MODIS was approximately 1.4 times higher than the Landsat 8 data in producer fields. For yield estimation, the best estimation can be made 4-6 weeks before the harvest. In regional yield estimations, satellite-based ML techniques outperformed linear models. ML models have shown that it can play an important role in crop yield prediction. In crop yield estimation, it is a priority to consider the impact of climate change and ecological differences on crop development.This study was supported by TUBITAK (Scientific and Technological Research Council of Turkey) 3001 program with project number 1150850
