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Review Citation Count: 0Akciğer kanserinde immünoterapi ve tedavide multidisipliner yaklaşım(Turkish Assoc Tuberculosis & Thorax, 2020) Tülek, Necla; Karadurmuş, Nuri; Kaya, Akın; Göksel, Tuncay; Yılmaz, Ülkü; Tülek, Necla; Basic SciencesAkciğer kanseri dünya genelinde kanserle ilişkili ölümlerin başlıca nedeniolmaya devam etmektedir. Son 20 yılda kanser biyolojisi ve patogenezi hakkındaki bilgiler artmış, immün kontrol noktası inhibitörleri (İKNİ) kullanımasunulmuş ve böylece solid kanserlerin tedavisinde önemli bir dönem başlamıştır. Bu derlemede; tedavide yenilikler, immünoterapi ve tedavide multidisipliner yaklaşım çerçevesinde akciğer kanseri ele alınmıştır. Küçük hücreli dışıakciğer kanseri (KHDAK) en sık görülen ve özellikleri nedeniyle İKNİ tedavisinden ideal olarak yararlanabilecek akciğer kanseri türü olması nedeniyleyazının odak noktasını oluşturmuştur. Bu derleme, akciğer kanseri tedavisindeimmünoterapi yaklaşımının göğüs hastalıkları başta olmak üzere tüm branşlarda multidisipliner farkındalığını artırmayı ve yönetimi hakkında bilgi sağlamayıamaçlayan ilk Türkçe derlemedir. Ayrıca bu derleme, KHDAK tedavisinde İKNİkullanımına ilişkin son klinik çalışmaların dikkat çekici sonuçlarını sunmasıaçısından önem teşkil etmektedir. İmmünoterapi kanser tedavisinde yeni bir dönem başlatmıştır ve İKNİ tedavisinin kendine özgü etki mekanizması yeni bazı advers olay grubunun ortaya çıkmasına nedenolmuştur, bunlar arasında pnömonitis özellikle önemlidir ve advers olaylar konusunda gerektiğinde hastaların ilgili uzmanlık dalları ilekonsülte edilmesi gerekmektedir. Akciğer kanserinde tedavi, hastanın özellikleri, histolojik özellikler, genetik durum göz önünde bulundurularak her bir hastaya özel planlanmalı ve akciğer kanserli bir hastanın tanısal değerlendirilmesi ve en uygun şekilde tedavisi içingöğüs hastalıkları, göğüs cerrahisi, tıbbi onkoloji, radyasyon onkolojisi, patoloji ve radyoloji uzmanlık dalları arasında işbirliği sağlanmalıdır. Bununla birlikte, aile hekimleri de akciğer kanserinin erken tanınmasında ve ayrıca hastalarını tütün bırakmayı teşvik ederekkanserin önlenmesinde önemli rol oynayabilirler. Ayrıca, toplumda farkındalık yaratmak ve erken tanı için akciğer kanseri yönündentarama çalışmaları yapmak hedeflenmelidirConference Object Citation Count: 0An algorithm for passive RFID based location estimation;(IEEE Computer Society, 2014) Özyurt, Erdem; Aydın, Elif; Yapıcı, Alparslan Çağrı; Department of Electrical & Electronics Engineering; Airframe and Powerplant MaintenanceIn this study, an indoor localization system is developed for the mobile robots. The localization system consists of a passive RFID tag and a reader. The passive RFID tag is placed on the robot and reader antennas are spatially dispersed into the room. For the localization, Selective Adaptive Weighted Centroid Localization (SAWCL) algorithm is used. Performance of the localization system is evaluated for the different tags. © 2014 IEEE.Conference Object Citation Count: 1Alternative feature extraction approaches for car plate recognition;(2005) Duman,Ş.; Öktem,R.; Çetin,A.E.License plate detection is an important problem for surveillance systems and traffic applications. This work primarily focuses on feature extraction approaches for extracting candidate car plate regions. For this purpose, we start with restricting our feature extraction regions by use of a hierarchical edge detection method. Edge detection is based on discrete wavelet transform. Performances of Haar and Daubechies filters are compared on that basis. Three different methods are proposed for feature extraction: histogram feature, horizontal profiling on the edge map, and segment features followed by segmentation. The performance of each algorithm is presented by use of tests on ATS images. © 2005 IEEE.Conference Object Citation Count: 3An alternative method for cell counting;(2011) Özkan, Akın; Tora, Hakan; Tora,H.; Uyar,P.; Işcan,M.; Airframe and Powerplant Maintenance; Department of Electrical & Electronics EngineeringCell counts and classification of the cells play an important role in the field of microbiology and cell biology. Although there exists many counting processes for cells of interest in suspension, the most basic cell counting process is performed by a person via the microscope. For counting cells the simplest, widely used and the most economic method is the use of hemocytometer counting. In this study, the hemocytometer counting was used but the the cells were counted by a proposed image based approach. The developed technique herein uses neural network along with the Hough transform. © 2011 IEEE.Conference Object Citation Count: 0Analysis of the parameters that effects the operating frequencies and bandwidth of a Cpw-fed patch antenna;(2013) Can, Seçkin; Aydın, Elif; Can,S.; Aydin,E.; Can, Sultan; Department of Electrical & Electronics Engineering; Department of Modern LanguagesIn this study, the analysis of the effect of antenna parameters to the operating frequency is performed in a coplanar waveguide fed patch antenna. The effect of the size and the substrate of the design dual frequency antenna to the operating frequency and bandwidth are also evaluated. Bandwidth of the upper and lower frequency is also investigated and results are demonstrated. The method to increase the bandwidth is also presented by using the chosen parameters. © 2013 IEEE.Article Citation Count: 0Anxiety and Depression After Cesarean: Non-pharmacological Evidence Based Practices;(Dokuz Eylul University, 2022) Terzioğlu, Füsun; Gençbaş, Dercan; Boztepe, Handan; Doğu, Nilgün; Akdeniz, Canberk; Yüceer, Buğse; NursingThe purpose of this review is to examine the non-pharmacological evidence-based practices of anxiety and depression after a cesarean section delivery. Postpartum anxiety and depression have increased in the last decade, the rates of postpartum depression are around 13% worldwide. In the postpartum period, women may experience anxiety and depression due to the operation they have undergone; such as being in an unfamiliar environment, facing new technological equipment and encounters with the medical teams, the post-operative pain, the new roles women undertake as mothers. One of the factors that increase anxiety and depression in the postpartum period is the type of delivery. In Turkey, the rate of cesarean delivery is comparatively high, which is approximately 52%. Anxiety and depression after cesarean section develop due to fear and concern such as the complications that may occur during and after the mother's anesthesia, the possibility delaying breastfeeding her baby, and experiencing pain. Non-pharmacological evidence-based applications such as reiki, acupressure, hand and foot massage, yoga, reflexology, aromatherapy, skin to skin care, nursing care protocols were found to be effective in studies conducted to reduce anxiety and depression after cesarean-section. Nurses who have critical roles and responsibilities in pre-and post-cesarean care practices are recommended to include these evidence-based non-pharmacological practices in routine care practices. © 2022, Dokuz Eylul University. All rights reserved.Conference Object Citation Count: 0Application of Kalman filter for the estimation of human head tissue conductivities;(2011) Şengül, Gökhan; Baysal,U.; Computer EngineeringIn this study Extended Kalman Filtering is proposed for the estimation of human head tissue conductivities by using EEG data. The proposed method first linearizes the relationship between the tissue conductivities and surface potentials (EEG measurements) and then iteratively estimates the tissue conductivities. In the study the mathematical background of the proposed method is presented and then performance of the proposed method is investigated by a simulation study. In the simulation study a three layered realistic head model (composed of scalp, skull and brain compartments) obtained from MR images of a real patient is used. The surface potential is calculated by using an arbitrarily chosen conductivity distribution. Then conductivity estimation is iteratively performed by using the calculated potentials and at each iteration relative error rates are calculated by comparing the orginal conductivities and estimated ones. It is found that the relative error rates decrease below of 1% after five iterations. © 2011 IEEE.Conference Object Citation Count: 0An approach for perceptual similarity detection between audios independent of genre via metadata extraction and correlation;(2007) Tora, Hakan; Öztoprak,K.; Tora,H.; Airframe and Powerplant MaintenanceThis study presents an approach for perceptual similarity detection between audios independent of genre. The study is formed of three phases; signal pre-processing as the first phase, metadata extraction via various perceptually compatible features as the second phase, and correlation methodology for similarity identification as the third phase. The performance and relative importance of the selected features for perceptual similarity analysis are presented as testing results. Moreover, relative importance of preprocessing is introduced. Using the proposed methodology, perceptual similarity detection between genre independent audios is achieved with a 96.85% performance. Contribution highly lies on the independency of genre.Conference Object Citation Count: 0Bar code localization by image processing;(2005) Öktem,R.; Çetin,A.E.This paper addresses the problem of bar code recognition by use of image processing. Bar codes are composed of parallel alternating dark-light stripes; hence they also appear as parallel lines connected at some orientation in a binary edge map. The proposed algorithms exploit that feature and use morphology and free angle thresholding for localization. Edge map is formed by Sobel operator and binary subband decomposition separately, and the two methods are compared in terms of time complexity and performance. Detailed discussion of test results are also presented. ©2005 IEEE.Conference Object Citation Count: 0A bayes decision model for RSS based location estimation;(2007) Aydın, Elif; Öktem,R.; Aydin,E.; Department of Electrical & Electronics EngineeringThis work introduces a location estimation method based on Bayes Decision Theory using Radio Signal Strengths for indoor environment. Signal Strengths are observed through three transmitters at three distinct frequencies in UHF band, an active RFID tag and a modem connected to a computer. The test environment is 2100cmx720cm, which is divided into classed of square grids. For each class, a set of received signal strengths are measured and processed. Assuming that the class in which the RFID tag was located in the previous time of measurement is known, the next location (class) is estimated using Bayes Decision Theory. Proposed method is tested in a laboratory environment with obstacles. Results show that proposed method will be successful in location estimation where the estimation error stays within around 2m.Article Citation Count: 0Borulu Sulama Şebekeleri Optimizasyonu(Turkish Chamber Civil Engineers, 2018) Darama, Yakup; Marım, Gökhan; Darama, Yakup; Bozkuş, Zafer; Civil EngineeringBorulu sulama şebekeleri ülkelerin tarımsal ürün yetiştirmesinde ve su tasarrufunda enönemli sistemlerdir. Günümüzde tarımsal amaçlı sulama, su tüketiminin en yüksek olduğusektördür. Ülkemizde tarım sektörünün kullandığı su miktarı su potansiyelimizin %73oranındadır. Ülkemizde ve genelde Dünyada nüfus artışı nedeniyle tarımsal üretimde sutalebinin artması ve su kaynaklarımızın sınırlı olması nedeniyle sürdürülebilir su kaynaklarıyönetimi zorunlu olmaktadır. Son yıllarda ülkemizde yapılan sulama sistemleri yatırımlarınınbüyük bir çoğunluğunu, su kaybını ve tarımsal su kullanımını azaltan modern borulu sulamaşebekeleri yatırımları oluşturmaktadır. Bu çalışma borulu sulama şebekelerinintasarımlarının maliyet ve istenen işletme basınçları açısından optimum koşullara ulaşmasınaodaklanmıştır. Optimizasyon problemi çözümünde heuristik tabanlı dinamik programlamaile birlikte doğrusal programlama yöntemi olan “Simplex” metodu kullanılmış olup, buoptimizasyon yazılımı DSİ borulu sulama şebekeleri için uygulanmıştır.Article Citation Count: 0Bozucu torklar altında izdüşümsel doğru akım motoru kontrolü(Gazi Univ, Fac Engineering Architecture, 2018) Doruk, Reşat Özgür; Doruk, Reşat Özgür; Zuglam, İsmail; Electrical-Electronics EngineeringBu çalışmada, izdüşümsel doğrusal kareselservo geri beslemesi (P-LQSF) yöntemiyle tasarlanmış bir birdoğru akım (DC) motoru denetim yaklaşımı sunulmaktadır. Tasarlanan denetleyicinin kararlılığı girdidenhale-kararlılıkyaklaşımından yola çıkarak incelenmektedir. İzdüşümsel kontrol yöntemi, tam durumdeğişkeni geri beslemeli bir denetleyicinin özdeğer spektrumunu çıktı geri beslemesi kullanarak yaklaşıkolarak elde etmeyi amaçlar. Tasarlanan denetleyicilerin kararlılık analizi hem teorik hem de sayısalbenzetim yoluyla incelenecektir. Temel doğrusal kararlılığın yanı sıra, bozucu etkilerin kapalı döngüyü birdış girdi olarak etkilemesinden yola çıkarak girdiden-çıktıya-kararlılık kavramından yararlanılması olanaklıolabilmektedir. Sonuç olarak bir bozucu etkiden-hale-kararlılık yaklaşımı ortaya çıkmaktadır. Tasarımlar,elde edilen bu yaklaşımla incelenecektir. Performanslar ise sayısal benzetimler yoluyla görülecektir.Conference Object Citation Count: 0Çok-akişli eşler arasi i̇steǧe baǧli video sistemlerinin Markov zinciri tabanli güvenilirlik modellemesi(2008) Yazıcı, Mehmet Akif; Öztoprak,K.; Akar,N.; Akar,G.B.; Computer Engineering[No abstract available]Conference Object Citation Count: 2Comparison of Breast Cancer and Skin Cancer Diagnoses Using Deep Learning Method(Ieee, 2021) Bilgiç, Burcu; Department of Electrical & Electronics EngineeringArtificial intelligence applications are of great importance in the solution of cancer, which is one of the biggest health problems of our age. In this study, a study was conducted on deep learning methods that make life important in the early diagnosis of breast cancer and skin cancer, which are among the most common types of cancer worldwide. Breast cancer and skin cancer data were classified as benign and malignant by deep learning methods. While working with the deep learning method, the classification was made using the Convolutional Neural Network (CNN) algorithm. In this classification, the data are divided into benign cancer sets and malignant cancer sets. Finally, the data provided by the logistic regression method were analyzed and success charts were created and both types were compared. As a result, accuracy and loss graphs of both cancer types were formed. The aim of the study is to compare breast cancer and skin cancer with the deep learning method. And some breast cancer and skin cancer diagnoses are confused. In further studies, the basis of differentiating the diagnosis of these two types of cancer from each other was made in this study.Conference Object Citation Count: 1Design and analysis of rectangular dielectric rod antennas;(Institute of Electrical and Electronics Engineers Inc., 2015) Aydın, Elif; Özkök,M.A.; Çalişkan,F.; Aydin,E.; Department of Electrical & Electronics EngineeringIn this study, rectangular dielectric rod antennas with different dimensions and different shapes are designed and analyzed using HFSS simulation software. To analyze the effects of these changes, five different antennas are designed and antenna gains and return loss values are compared. © 2015 IEEE.Conference Object Citation Count: 0Design and fabrication of dual-frequency h-shaped antenna;(2013) Can, Seçkin; Aydın, Elif; Can,S.; Aydin,E.; Can, Sultan; Department of Electrical & Electronics Engineering; Department of Modern LanguagesIn this study, the parameters that effects the operating frequency of dual frequency H-shaped antenna are examined. These parameters are determined as type of the dielectric constant of substrate, substrate thickness, dimensions of the antenna and dimensions of the slots that are used to obtain shape of H. The produced and simulated results of the proposed antennas are presented and compared with the studies in literature. © 2013 IEEE.Conference Object Citation Count: 1Design and fabrication of Ka band circular horn antenna;(2012) Özyurt, Erdem; Kara, Ali; Özyurt,E.; Kara,A.; Department of Electrical & Electronics EngineeringIn this paper, design and fabrication of a circular horn antenna is presented. The antenna is designed for experimental use at Ka band. The design process includes feeding structure for coaxial line and geometrical parameters of the antenna. The bandwidth of the antenna is measured as 2.25GHz, (S 11 ≤-10dB) which satisfies the requirements of targeted experimental study. A reference monopole is also designed for the measurements of antenna parameters. Antenna radiation pattern is measured with the reference monopole antenna using a VNA (S12) instead of typical signal generator/spectrum analyzer pair. Accuracy of antenna parameters along with the errors made in fabrication process is also discussed in the paper. © 2012 IEEE.Conference Object Citation Count: 4Design of a scenario-based synthetic mixed pulse generator;(2013) Gençol, Kenan; Kara, Ali; At,N.; Department of Electrical & Electronics EngineeringElectronic Support Measures (ESM) plays an important role in modern Electronic Warfare (EW) systems. The main purpose of an ESM system is to intercept as many emissions as it can, and then to deinterleave mixed streams of pulses that are interleaved in natural time of arrival order, and thus to identify surrounding emissions. In real life, such systems may encounter with a continuous stream of pulses accompanied by many imperfections, and it should work on real-time basis. In order to handle such circumstances and to develop better deinterleaving algorithms, a simulation tool is needed. In this study, design of a scenario-based mixed pulse generator (simulator) is presented. © 2013 IEEE.Conference Object Citation Count: 0Detecting Errors in Automatic Image Captioning by Deep Learning;(Institute of Electrical and Electronics Engineers Inc., 2021) Karakaya, Kasım Murat; Computer EngineeringAutomatic tagging of images is an important researcli topic in tlie field of image processing. Anotlier area similar to this is the automatic generation of picture captions. In this study, a deep learning model that automatically tags the pictures is used to detect errors in image captions. As a result of the initial experiments, it is observed that the proposed system can find up to 80% of the errors in the image captions. © 2021 IEEEArticle Citation Count: 0Development of Public-Private Partnerships in the Transportation Sector in The World(Sosyoekonomi Soc, 2024) Bülbül, Duran; Akgungor, Zehra; Public FinanceThe globalisation process in recent years has led to the formation of alternative methods of delivering public services worldwide. In the provision of public services, under the name of "publicprivate partnership", the private sector has started taking a critical degree. It has become an application on the agenda of both developed and developing countries. In this respect, it is seen that the transportation sector is one of the costliest services among public services; large-scale projects have been created by applying the PPP model in the financing and development of the transportation sector in many countries. The study evaluates the PPP model in the world's transportation sector and the increase in private participation in the transportation sector with PPP.