Land. Its occupation, management, use and conceptualization: the case of the Akawaio and Arekuna of the Upper Mazaruni District, Guyana

Book review of Land. Its occupation, management, use and conceptualization: the case of the Akawaio and Arekuna of the Upper Mazaruni District, Guyana. Audrey J. Butt Colson. Panborough, Near Wells, UK: Last Refuge Ltd, 2009. 408 pp., 8 figures, 8 maps, 42 plates, bibliography, index. £40 (hard cover). ISBN: 978-0-9544350-7-3 [www.lastrefuge.co.uk]

Chapter A sedimentological pattern of a coastal transitional environment: from the Eastern Mediterranean Sea shoreline through the Lake Bafa

This study represents the lithological correlation of multi-cores taken from the various parts of the current Lake Bafa basin, BAF35, - 37 - 39 - 41, - 42, - 46. Concerning the main depositional characteristics, we reconstructed fundamental characteristics of local abrupt and gradual environmental fluctuations. The gradual changes reflect four main environmental phases are lacustrine stage (last 0.8 ky), lagoon stage (0.8–1.75 ky BP), marine-river interaction stage (1.75–2.7 ky BP) and the earliest marine-dominated stage (>2.7 ky BP)

Bütünleşik tedarik zinciri çizelgeleme modelleri: Bir literatür taraması

Research on integration of supply chain and scheduling is relatively recent, and number of studies on this topic is increasing. This study provides a comprehensive literature survey about Integrated Supply Chain Scheduling (ISCS) models to help identify deficiencies in this area. For this purpose, it is thought that this study will contribute in terms of guiding researchers working in this field. In this study, existing literature on ISCS problems are reviewed and summarized by introducing the new classification scheme. The studies were categorized by considering the features such as the number of customers (single or multiple), product lifespan (limited or unlimited), order sizes (equal or general), vehicle characteristics (limited/sufficient and homogeneous/heterogeneous), machine configurations and number of objective function (single or multi objective). In addition, properties of mathematical models applied for problems and solution approaches are also discussed.Bütünleşik Tedarik Zinciri Çizelgeleme (BTZÇ) üzerine yapılan araştırmalar nispeten yenidir ve bu konu üzerine yapılan çalışma sayısı artmaktadır. Bu çalışma, bu alandaki eksiklikleri tespit etmeye yardımcı olmak için BTZÇ modelleri hakkında kapsamlı bir literatür araştırması sunmaktadır. Bu amaçla, bu çalışmanın bu alanda çalışan araştırmacılara rehberlik etmesi açısından katkı sağlayacağı düşünülmektedir. Bu çalışmada, BTZÇ problemleri üzerine mevcut literatür gözden geçirilmiş ve yeni sınıflandırma şeması tanıtılarak çalışmalar özetlenmiştir. Çalışmalar; tek veya çoklu müşteri sayısı, sipariş büyüklüğü tipi (eşit veya genel), ürün ömrü (sınırlı veya sınırsız), araç karakteristikleri (sınırlı/yeterli ve homojen/heterojen), makine konfigürasyonları ve amaç fonksiyonu sayısı (tek veya çok amaçlı) gibi özellikler dikkate alınarak kategorize edildi. Ayrıca problemler için uygulanan matematiksel modellerin özellikleri ve çözüm yaklaşımları da tartışılmıştır

Embedded Dsp Based License Plate Localization

Tez (Yüksek Lisans) -- İstanbul Teknik Üniversitesi, Fen Bilimleri Enstitüsü, 2008Thesis (M.Sc.) -- İstanbul Technical University, Institute of Science and Technology, 2008Bu çalışmada sözü edilen ve tasarlanan plaka yer saptama uygulaması sayısal sinyal işleme tabanlı gömülü bir mimari üzerinde gerçek zamanlı görüntü işleme kıstaslarına uyularak oluşturulan, ilgi duyulan bir konudur ve trafik yönetimi, gümrük kontrolleri, otoyol ödeme sistemleri, çalıntı arabaların tanınması, park yerleri, yasak bölgelerin kontrolü gibi birçok uygulama alanında gerek duyulan tam işlevli ve özdevimli tanıma sistemlerinin ayırt edici bir özelliğidir. Komple tanıma sisteminin ayırt edici bir parçası olmasının nedeni bir kez plaka yeri doğru olarak saptandığında aslında sorunun tanıma aşamasına indirgenmesidir. Tanıma biriminin girişinde yer alması ile başarımındaki kazancı iyileştirme sorununun ötesinde, bilinen bilgisayar tabanlı sistemlerle karşılaştırıldığında uygulamasının işlevine göre dar hacimli, kolay taşınabilir, düşük enerji tüketimli, ve düşük maliyetli mimariye sahip bir görüntü gözetim sisteminin parçası olması öncelikli bir durumdur. İşlemsel süreçlerde, sistem tasarım ve geliştirme aşamalarında tüm bu kısıtlamaların göz önünde tutulması amaçlanmıştır.Yer saptama işlemsel süreci genel olarak ayrıt bulma, eşikleme, bağlı bileşen etiketleme, plaka karakterlerini saran dikdörtgenlerin, ve son olarak da giriş görüntüsündeki plaka yerinin belirlenmesi aşamalarından oluşur. Öngörüldüğü şekliyle, tümleşik devrenin kullanışlı, yetkin, karmaşık, ve çok işlevli paralel çalışan komutları ile yüksek başarımlı doğrudan bellek erişimi, genel amaçlı giriş, çıkış ve çok çekirdekli yapısından faydalınarak plaka yer saptama işlemsel sürecinin geliştirilmesine ek olarak, sayısal işaret işleme tabanlı gömülü gerçek zamanlı bir görüntü izleme sistemi tipik bilgisayar tabanlı sistemlerle kıyaslandığında hem başarım hem verimlilik açısından gereksinimleri oldukça karşılayacak şekilde tasarlanmış ve geliştirilmiştir.The system presented and designed in this work as an embedded DSP architecture corresponding to real time video processing constraints is an application of license plate localization which is a challenging issue and distinctive unit of full featured and considerably standardized automated recognition systems required in several application areas like traffic management, custom controls, toll-pay systems, identification of stolen cars, parking, controlling of restricted zones. The reason of the fact it is a distinctive part of overall recognition system is that the issue is basically reduced to a recognition stage once the location of the license plate is correctly found. Beyond the reason that it is an issue to enhance the performance gain as a very important milestone prior to recognition modules, it is a priority task as a part of typical video surveillance system that the application should propose compact design, portability, low power consumption and low cost architecture as compared with generic personal computer based systems. It is aimed to consider all these constraints in algorithm and system design and development. Localization Algorithm generally consists of edge detection, threshold, component labeling, determination of surrounding rectangles of plate characters candidates, and finally localization of the plate in an input image. As contemplated, a DSP based embedded real-time video surveillance system is designed and developed comparatively sufficient to generic computer based systems in resolutions of both performance and efficiency constraints in addition to license plate localization algorithm development by utilizing flexible, powerful, complex multifunction instructions, high performance direct memory access and general purpose input outputs and multi core structures of integrated DSP.Yüksek LisansM.Sc

Predicting Quality Of Experience For Online Video Systems Using Machine Learning

As the expansion of the online video broadcasting continues in every area of the modern connected world, the need for measuring and predicting the Quality of Experience for content delivery has never been this important. This demo paper has designed and developed a real-time and continuously trained machine learning model in order to predict QoE for online video systems. For this purpose, a platform has been developed where video content is unicasted to a cluster of users simultaneously while objective video metrics are collected into a database. At the end of each video, each user is queried with a subjective survey about their experience. Both quantitative statistics (video metrics) and qualitative information (user surveys) are used continuously as training data to machine learning model. The overall results show that proposed QoE estimation system provides an average Mean Opinion Score (MOS) precision with an error rate ranging from 12% to 15%. This methodology can efficiently answer the problem of predicting user experience for any online video delivery system, while overcoming the problematic interpretation of subjective consumer experience in terms of quantitative metrics

Predicting quality of experience for online video service provisioning

The expansion of the online video content continues in every area of the modern connected world and the need for measuring and predicting the Quality of Experience (QoE) for online video systems has never been this important. This paper has designed and developed a machine learning based methodology to derive QoE for online video systems. For this purpose, a platform has been developed where video content is unicasted to users so that objective video metrics are collected into a database. At the end of each video session, users are queried with a subjective survey about their experience. Both quantitative statistics and qualitative user survey information are used as training data to a variety of machine learning techniques including Artificial Neural Network (ANN), K-nearest Neighbours Algorithm (KNN) and Support Vector Machine (SVM) with a collection of cross-validation strategies. This methodology can efficiently answer the problem of predicting user experience for any online video service provider, while overcoming the problematic interpretation of subjective consumer experience in terms of quantitative system capacity metrics

An Integrated Solution Approach for Flow Shop Scheduling

This study seeks to integrate Random Key Genetic Algorithm (RKGA) and Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) to compute makespan and solve the Flow Shop Scheduling Problem (FSSP). FSSP is considered as a Multi Criteria Decision Making Problem (MCDM) by setting machines as criteria and jobs as alternatives. RKGA is employed to determine the best weights for the criteria that directly affect the robustness of the solution. The proposed methodology is presented with illustrative example and applied to benchmark problems. The solutions are compared to well-known construction heuristics. The proposed methodology provides the best or reasonable solutions in acceptable computational times

Modelling tectonic deformation along the North-Anatolian Fault in the Sea of Marmara

Using analogue techniques, we attempted to model the complex tectonic deformation pattern observed along the North-Anatolian Fault in the Sea of Marmara from morpho-bathymetry and seismic reflection images. In particular this paper focuses on the so-called Cinarcik segment of the fault connecting the eastern Izmit segment, which entirely ruptured during the Mw 7.4, 1999 earthquake, to the western segment of the Central High. The Çınarcık segment, potentially loaded after the Izmit earthquake, is expected to rupture during an earthquake occurring in the near future, possibly the next decades, with a high potential to affect the Istanbul metropolitan area. Our analysis suggests that the development of the observed structures accommodating strike-slip, transtensional and transpressional deformations, could be explained by changes in the geometry of fault segments within a right-lateral strike-slip tectonic regime. Tectonic deformations were reproduced in the analogue model by imposing a small (about 10°) and sharp difference in the relative orientations of the strike-slip segments at the edges of a major releasing bend. In the model slower strain accumulation occurs along the analogue of the Çınarcık segment than along the analogue of the Izmit segment of the fault. This would predict a delay for earthquakes triggered by stress transfer between the Izmit and Çınarcık segments. The model further predicts that most of the deformation in the Çınarcık basin is controlled by the sharp changes in the geometry of the fault itself

On the Modelling of CDNaaS Deployment

With the increasing demand for over the top media content, understanding user perception and Quality of Experience (QoE) estimation have become a major business necessity for service providers. Online video broadcasting is a multifaceted procedure and calculation of performance for the components that build up a streaming platform requires an overall understanding of the Content Delivery Network as a service (CDNaaS) concept. Therefore, to evaluate delivery quality and predicting user perception while considering NFV (Network Function Virtualization) and limited cloud resources, a relationship between these concepts is required. In this paper, a generalized mathematical model to calculate the success rate of different tiers of online video delivery system is presented. Furthermore, an algorithm that indicates the correct moment to switch between CDNs is provided to improve throughput efficiency while maintaining QoE and keeping the cloud hosting costs as lowest possible