77 research outputs found
Generation of feasible integer solutions on a massively parallel computer using the feasibility pump
No full textUtku Koç (MEF Author)We present an approach to parallelize generation of feasible mixed integer solutions of mixed integer linear programs in distributed memory high performance computing environments. This approach combines a parallel framework with feasibility pump (FP) as the rounding heuristic. It runs multiple FP instances with different starting solutions concurrently, while allowing them to share information. Our computational results suggest that the improvement resulting from parallelization using our approach is statistically significant. (C) 2017 Elsevier B.V. All rights reserved.WOS:0004182168000232-s2.0-85032474890Science Citation Index ExpandedArticleUluslararası işbirliği ile yapılan - EVETKasımYÖK - 2017-1
Abuse of the right to access ICSID arbitration
No full textIn the last decade, the Tribunals of the International Centre for the Settlement of Investment Disputes (ICSID) have discussed the adoption of a new standard in assessing the jurisdictional requirements of the Convention on the Settlement of Investment Disputes between States and Nationals of Other States, in order to preserve the integrity of their own process, by introducing the general principle of the abuse of rights into the initiation of the ICSID arbitration process. This well-known principle of international law, along with other similar concepts such as good faith and abuse of process, has begun to play an important role at the jurisdictional stage of ICSID proceedings, largely due to the widely adopted practice of treaty shopping by investors who restructure their investments in order to gain access to the jurisdiction of ICSID tribunals. Although the exact parameters of the principle are not yet established, the practices of ICSID tribunals provide a useful road map for future cases. © The Author 2014. Published by Oxford University Press on behalf of ICSID. All rights reserved
Phase-Coded FMCW PARSAX Radar Dataset
No full textDataset collected with the TU Delft PARSAX S-band coherent radar using the frequency-modulated continuous-wave (FMCW) and Phase-coded FMCW waveforms. This dataset accompanies the PhD dissertation of Utku Kumbul entitled: "Phase-coded FMCW for automotive radars".
More details about the PARSAX radar used in the measurements can be seen in: O. A. Krasnov, L. P. Ligthart, Zhijian Li, P. Lys and F. van der Zwan, "The PARSAX - full polarimetric FMCW radar with dual-orthogonal signals," 2008 European Radar Conference, 2008, pp. 84-87.
Referencing the dataset
Kumbul, Utku; Petrov, Nikita; van der Zwan, Fred (2022): Phase-Coded FMCW PARSAX Radar Dataset. 4TU.ResearchData. Dataset. https://doi.org/10.4121/21688928
@misc{Kumbul2022,
author = "Utku Kumbul and Nikita Petrov and Fred van der Zwan",
title = "{Phase-Coded FMCW PARSAX Radar Dataset}",
year = "2022",
month = "Dec",
url = "",
doi = "10.4121/21688928 " }
Paper references are:
U. Kumbul, N. Petrov, F. van der Zwan, C. S. Vaucher and A. Yarovoy, "Experimental Investigation of Phase Coded FMCW for Sensing and Communications," 2021 15th European Conference on Antennas and Propagation (EuCAP), 2021, pp. 1-5, doi: 10.23919/EuCAP51087.2021.9411464.
U. Kumbul, N. Petrov, C. S. Vaucher and A. Yarovoy, "Receiver Structures for Phase Modulated FMCW Radars," 2022 16th European Conference on Antennas and Propagation (EuCAP), 2022, pp. 1-5, doi: 10.23919/EuCAP53622.2022.9769268.
U. Kumbul, N. Petrov, C. S. Vaucher and A. Yarovoy, "Smoothed Phase-Coded FMCW: Waveform Properties and Transceiver Architecture," in IEEE Transactions on Aerospace and Electronic Systems, 2022, doi: 10.1109/TAES.2022.3206173. </p
Unlocking the insights: data-analytic examinations of social signals in organizational practices
Get PDFUsing analytics to understand social data is an emerging research field across different academic disciplines including Information Systems. Information Systems (IS) discipline places the social media-related research at the intersection of people, organizations, and technology. While the recent focus of design science utilizes advanced data mining methods to develop decision-aiding frameworks and extend organizational boundaries by designing novel artifacts; the behavioral focus develops and tests theories that elucidate behaviors at the individual or organizational levels. This thesis comprises three essays aiming to contribute to IS research by both leveraging from the two foundational principles of IS -behavioral science and design science- and applying advanced analytics to further understand the executive, stakeholder, and brand relations. These implementations allow us to elegantly capture several important features of the social signals that have been employed in online networking platforms. In the first two chapters, social signals are examined as internal and external associations of the executives’ career outcomes. The third chapter investigates the social signals from brands’ perspectives. While the first two chapters highlight and examine the relationships of several constructs, the main emphasis of the third chapter lies on designing a valuable information systems tool to complement the theoretical studies and enhance the practical implementations.Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2019-05-01The student, Utku Pamuksuz, accepted the attached license on 2017-04-20 at 11:08.The student, Utku Pamuksuz, submitted this Dissertation for approval on 2017-04-20 at 11:19.This Dissertation was approved for publication on 2017-04-21 at 09:23.DSpace SAF Submission Ingestion Package generated from Vireo submission #10931 on 2017-08-10 at 14:32:20Made available in DSpace on 2017-08-10T19:52:18Z (GMT). No. of bitstreams: 2
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Previous issue date: 2017-04-21Embargo set by: Colleen Fallaw for item 102665
Lift date: 2019-08-10T21:25:30Z
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Bir çağdaş anlatım dili olarak romanda görsellik: ‘’Araba Sevdası’ndan Yüksek Topuklar’a’’
No full textSoyadı:Ayşegül Utku Günaydın letişim Bilimleri letişim Bilimleri Prof. Dr. Nurçay Türkoğlu Tez Türü ve Tarihi:Yüksek Lisans - Temmuz 2003 Roman, İmge, GörsellikBİR ÇAĞDAŞ ANLATIM DİLİ OLARAK ROMANDA GÖRSELLİK: ARABA SEVDASI'NDAN YÜKSEK TOPUKLAR'A Çağımızda, görsel kültürün ve görselliğin etkilerini her alanda görmekteyiz. Bunda iletişim konusunda her türlü teknolojinin hızla gelişmesinin de büyük payı bulunmaktadır. Görüntü, görsel dünya, hızla tüm sanat dallarını, toplumsal yaşayışı ve kültürleri etkilemiştir. Edebiyat ise görselliği zihinsel imgelem sürecinde, yazı aracılığıyla işletir. Roman imgeye ve kurguya dayalı, insanı konu alan bir edebiyat ürünüdür. Bu çalışma ile gündelik yaşamda değişen davranış kalıplarının, imajların romanda yazarın imgeleriyle yeniden yaratılması ve okuyucunun kendi imgelerini de katarak eseri alımlaması ve çoğaltma sürecinde, romandaki görsellik incelenmiştir. Çalışmaya örneklem olarak da iki farklı dönemin romanları ele alınmıştır. Bu da Türk edebiyatının ilk roman ürünlerinin verildiği ve çağdaş edebiyata geçiş süreçlerinin yaşandığı Tanzimat edebiyatının en önemli eserlerinden Recaizade Mahmut Ekrem'in Araba Sevdası romanı ile, 2000'li yıllarda yazılmış ve popülerlik kazanmış Murathan Mungan'ın Yüksek Topuklar adlı romanı arasındaki anlatım dilinin görselliğinin ne boyutlarda değiştiğinin bir göstergesi olacaktır Name and Surname:Ayşegül Utku Günaydın Field:Communication Science Programme:Communication Science Supervisor:Proffessor Nurçay Türkoğlu Degree Awarded and Date:Master - July 2003 Novel, İmage, Visuality ABSTRACT THE VISUALITY IN THE NOVEL AS A CONTEMPORARY EXPRESSION LANGUAGE (METHOD): FROM ARABA SEVDASI TO YÜKSEK TOPUKLAR The impacts of visual culture and visuality can be seen in almost every aspect of life. The technological innovations in the field of communication play a crucial role in this fact. The image and the visual world has been effecting all kinds of art, social life and culture. On the other hand literature makes use of visuality in the process of imagination through the use of writing. The novel is a literary product which focuses on human being and depends on imagination. In this study the visuality in the novel is examined through the analysis of the recreation of changing behaviors and images by the author together with the reader's perception and augmentation process. For this purpose two novels from two different periods has been selected, namely Araba Sevdası by Recaizade Mahmut Ekrem and Yüksek Topuklar by Murathan Mungan. The first one is counted for being one of the earliest works in the Turkish Literature representing both the characteristics of the transition to the contemporary literature and the Tanzimat period. The latter is dating from 2000's and a popular one which constitutes a good example for how the dimension of the visuality of the expression language (method) has changed
AUTHOR IDENTIFICATION IN SHORT TEXTS: A METHODOLOGICAL PROPOSAL FOR TWITTER
Get PDFVerili bir metnin yazarını tespit etmek ve birkaç metnin arasından yazarı aynı olanları bulmak, adli dilbilimin önemli uygulama alanlarından biridir. Günümüze dek yapılan çalışmaların çoğu, gazetelerin köşe yazıları gibi uzun ve nispeten fazla miktarda dilsel veri içeren bütünce ile gerçekleştirildiğinden, kısa metinlerde yazar tanımaya ilişkin herhangi bir yöntem sunmamaktadır. Zira adli dilbilim kapsamında yapılan çalışmalarda, incelemelere konu edilen metinler oldukça kısadır. Bununla birlikte, mikro-blog siteleri de dâhil olmak üzere, sosyal medya üzerinde yapılan paylaşımlar da çoğu kez ceza veya hukuk davalarının konusu olabilmektedir. Dolayısıyla kısa metinler üzerinde yazar tanımaya ilişkin birtakım yöntem ve yaklaşımlara ihtiyaç duyulmaktadır. Bu çalışma, özellikle karakter kısıtı gözetilerek seçilen Twitter adlı mikro-blog sitesinden toplanan çeşitli metinlerin; dilbilgisi, noktalama, sözcük ve bağlam özellikleri kullanılarak yazarlarının tespitine ilişkin bir yöntem önermeyi amaçlamaktadır. Ayırt edici olduğu veya olabileceği görülen özellikler paylaşılmakta ve çoğunlukla bütünceye göre biçimlendirilmesi gereken yöntemler, genel başlıklarıyla birlikte sunulmaktadır.Determining a given text’s author and finding the texts whose authors are the same, through several texts is one of the most important application fields of forensic linguistics. Most of the studies, which are done up to the present, were conducted along with a long corpus, which also consists of relatively more linguistic data such as newspaper articles. Thus, they don’t suggest a method in terms of author identification of short texts. Yet, in forensic linguistic studies, the entreated texts are quite short. However, social media entries including the micro-blogs can be subject to criminal or law cases several times. Accordingly, there’s a need for some methods and aspects related to author identification. This study aims to suggest a method to determine authors by using grammar, punctuation, lexis and context features of texts, which were collected from the micro-blog named Twitter, with a special regard to its character constraint. The features, which are seen to be or may be distinctive, are shared and the methods, which mostly need to be formatted related to the corpus, are presented along with their general titles
Emotion Extraction from Facial Expressions by Using Artificial Intelligence Techniques
No full textWOS: 000426964000001Nowadays, there is no application area in which Artificial Intelligence oriented solutions are not employed. It is possible to see its use in even daily life and the solution scope of this scientific field of the future is growing day by day. Because of its great advantages in analyzing the physical world and solving real world problems, Artificial Intelligence techniques are often employed in different research problems that cannot be solved with traditional computational approaches. In this context, using intelligent systems to understand human features is one of the most popular research interest for recent years. In the sense of the explanations so far, objective of this study is to introduce a research in which a system that is able to extract emotions from individuals' facial expressions was designed and developed. In detail, the system considered here a Cascade Feed-forward Artificial Neural Network model trained by a recent optimization algorithm called as Vortex Optimization Algorithm. The developed system has been applied to different sets of photos from the literature and positive results were obtained at the final for each different set considered.Usak University Scientific Research and Projects Unit [2017/HD-SOSB004]This study has been supported by Usak University Scientific Research and Projects Unit with the project number 2017/HD-SOSB004
A numerical investigation of damping in fuzzy oscillators with poroelastic coating attached to a host structure
No full textDetermınıng Markers of Author Identıfıcatıon on Short Texts: A Forensıc Lınguıstıc Applıcatıon on Twıtter
No full textAccording to the literature, identification and/or profiling of the author of a given text is one of the most popular questions addressed to forensic linguists. For this very reason, it could be stated that author identification studies are of particular importance in terms of forensic linguistics. Besides, such studies may either be performed individually or have a supplementary essence along with other several analyses. Despite all, author identification studies concerning Turkish texts have only recently received scientific attention and within this context, short texts have usually been disregarded. It is clear that there is a need for specific methods accounting for texts consisting limited linguistic data, with a special regard to correspondence on mobile phones and on social media posts. Most of the features that are employed in the author identification analyses of newspaper articles seem to be inadequate on social media posts or other instant messaging types since the latter sort of texts have considerably limited verbal content. This study aims to address to this necessity within the given context. First, a total of 1000 posts by 50 different authors from the micro-blog site Twitter have been examined as a sample of short texts and then, distinctive features have been established which are useful to distinguish the same and different authors. These features that are sorted out under titles “spelling and punctuation”, “lexis and context” and “others” have been worked out on a total of 198 single Twitter posts submitted by 60 different authors. Through 18 separate analyses that include different number of authors and posts, identification of the initially unknown authors have been attempted. Every single attempt resulted with a match and these matchups were all checked and confirmed. There hasn’t been any analysis resulted with indecision or misdetection. Findings seem to be significant for both constituting a methodology for author identification studies on short texts in Turkish, as well as for providing a basis for the advancement of the proposed method in the future.Verili bir metnin kim tarafından yazıldığı, alanyazına göre adli dilbilim uzmanlarına yöneltilen soruların başında gelmektedir. Bu nedenle yazar tanıma uygulamalarının, adli dilbilim bağlamında özel bir öneme sahip olduğu ifade edilebilir. Kaldı ki bu konuda münferiden çalışılabileceği gibi, başka birtakım analizleri tamamlayıcı nitelikte uygulamalar yapılması da söz konusu olabilir. Tüm bunlara rağmen Türkçe metinlerin incelendiği yazar tanıma uygulamaları, alanyazında görece kısa bir süredir ilgi konusu olarak ele alınmakta ve bu bağlamda kısa metinler çoğunlukla gözardı edilmektedir. Özellikle mobil telefon yazışmaları ve sosyal medya iletileri bağlamında ise az miktarda dilsel veri içeren metinlere dair özgül yöntemlere ihtiyaç duyulduğu açıktır. Zira bilimsel çalışmalarda şimdiye dek genellikle tercih edilmiş olan ve gazete makalelerini incelemeye yönelik kullanılan ölçütlerin çoğu, kayda değer miktarda kısıtlı bir içeriğe sahip sosyal medya gönderilerini veya başka anlık yazışma biçimlerini incelemek için elverişli görünmemektedir. Bu çalışma ise belirtilen çerçevede mevcut ihtiyaca bir yanıt vermeyi hedeflemektedir. Kısa metin örnekleri olarak Twitter isimli mikro-blog sitesinde yer alan ve 50 farklı yazarın oluşturduğu toplam 1000 gönderi incelenmiş, aynı ve farklı yazarların oluşturduğu metinlerin belirlenmesinde ayırt edici bulunan özellikler tespit edilmiştir. “Yazım ve noktalama”, “sözcük ve bağlam” ile “diğer ölçütler” olmak üzere üç başlık altında yer alan bu özellikler, 60 farklı yazarın oluşturduğu toplam 198 ayrı Twitter gönderisi üzerinde sınanmıştır. Çeşitli yazar ve gönderi sayılarıyla gerçekleştirilen 18 farklı uygulama kapsamında, yazarı bilinmeyen gönderilerin kim tarafından oluşturulduğu tespit edilmeye çalışılmıştır. Sonuç olarak her bir çalışma neticesinde bir eşleşme sağlanmış ve yapılan kontrollerde bunların tamamının doğru olduğu görülmüştür. Kararsızlıkla sonlandırılan veya hatalı tespitte bulunulan herhangi bir analiz olmamıştır. Elde edilen sonuçlar hem Türkçe kısa metinlerde yazar tanıma uygulamalarına bir temel teşkil etmesi hem de önerilen yöntemin gelecekte geliştirilerek etkinliğinin arttırılması bağlamında önemli görünmektedir
Community colleges and music education in the direction of lifelong learning
No full textLifelong learning (LLP) was introduced as a European Union project in the 1990s, and remains a current research topic in the field of education due to the emergence of new educational paradigms. Public education centers, are institutions that serve the aims of LLPs. Within community colleges, it is important for music education, which has an active role in both individual and community development, to be given according to LLP strategies. The study examined Kadikoy Public Education Centre music courses according to the variables of age, education, preference and socio-economic status Suggestions are made regarding development via activities and projects devoted to social development in the field of music in the information era by considering the opportunity provided by LLP. (C) 2011 Published by Elsevier Ltd
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