Özyeğin University

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    5916 research outputs found

    When SDN and blockchain shake hands

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    A survey of recent efforts to combine SDN and BC shows promising results and points to directions for future research

    Time travel in Turkish: WordNets for modern Turkish

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    Wordnets have been popular tools for providing and representing semantic and lexical relations of languages. They are useful tools for various purposes in NLP studies. Many researches created WordNets for different languages. For Turkish, there are two WordNets, namely the Turkish WordNet of BalkaNet and KeNet. In this paper, we present new WordNets for Turkish each of which is based on one of the first 9 editions of the Turkish dictionary starting from the 1944 edition. These WordNets are historical in nature and make implications for Modern Turkish. They are developed by extending KeNet, which was created based on the 2005 and 2011 editions of the Turkish dictionary. In this paper, we explain the steps in creating these 9 new WordNets for Turkish, discuss the challenges in the process and report comparative results about the WordNets

    Adaptive streaming of content-aware-encoded videos in dash.js

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    In Hypertext Transfer Protocol (HTTP) adaptive streaming, the client makes rate adaptation decisions based on the measured network bandwidth and buffer fullness. This simplifies the adaptation logic; however, it often produces noticeable quality fluctuations during the streaming session. With content-aware encoding (CAE), one can improve the visual quality without increasing the total number of bits spent by carefully choosing where the bits are spent based on human perception. However, an adaptation logic that is unaware of the resulting variable-size segments may cause more stalls, defeating the purpose of improving viewer experience through CAE. This article explains the design steps of a size-aware rate adaptation (SARA) logic for one of the most popular Dynamic Adaptive Streaming over HTTP (DASH) clients, namely dash.js, and shows the improvements in rebuffering behavior and fetching top-resolution segments as a result of applying this logic

    Caricaturing the enemy: caricatures and the Greek-Turkish War 1919-1922

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    A century ago, the Greek-Turkish War of 1919-1922 (Turkish War of Liberation/Asia Minor Campaign) was reaching its culmination point. The war was also fought in the pages of the Press. In this study, we look at the characteristics of the caricatures marshalled in the war effort by three publications. The Greek newspaper Skrip, and the Turkish satirical magazines Karagöz and Güleryüz. We find that most expectations based on semiotics and the concept of interstate rivalry are borne out. Depictions of the ‘Other’ are generally negative. That said we also find that Skrip dedicated the majority of its caricatures to targeting the internal ‘Other’, the Venizelist faction during the National Schism, in contrast to the more focused targeting of the Greek ‘Other’ by the Turkish publications. This finding indicates the dominance of domestic conflicts over the external conflict even during the inflation point of the Greek-Turkish Interstate Rivalry of 1866-1925Marilia Apostolaki ; National Library of GreecePublisher versio

    Model-based optimization of CMP process parameters for uniform material removal selectivity in cu/barrier planarization

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    Chemical mechanical planarization is a process of achieving planar surfaces in the semiconductor manufacturing industry. The planarization of a surface is achieved by material removal from the wafer surface. The material removal depends on material properties and the process input parameters. Several studies have investigated the role of slurry chemistry to achieve a certain material removal selectivity of different materials on a patterned wafer. Here we propose a methodology of achieving planar patterned surface of Cu/Mn/MnN system using a model-based optimization for mechanical process parameters. The parameters include applied force, slurry solid concentration, and abrasive particle size. The methodology has been developed via optimization using a genetic algorithm. The proposed methodology suggests that a lower downforce is the key parameter to achieve the desired material removal selectivity and planarity. The first part of the study suggests a low material removal rate (MRR) to achieve a lower standard deviation in MRR. The second part investigates the standard deviation in the thickness removed in the average time needed to remove a known thickness of the materials under consideration. It has been found that the application of lower downforce can also minimize the standard deviation in the thickness removed and a planar patterned surface can be achieved

    Metal-organic framework-based materials for the abatement of air pollution and decontamination of wastewater

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    Developing new and efficient technologies for environmental remediation is becoming significant due to the increase in global concerns such as climate change, severe epidemics, and energy crises. Air pollution, primarily due to increased levels of H2S, SOx, NH3, NOx, CO, volatile organic compounds (VOC), and particulate matter (PM) in the atmosphere, has a significant impact on public health, and exhaust gases harm the natural sulfur, nitrogen, and carbon cycles. Similarly, wastewater discharged to the environment with metal ions, herbicides, pharmaceuticals, personal care products, dyes, and aromatics/organic compounds is a risk for health since it may lead to an outbreak of waterborne pathogens and increase the exposure to endocrine-disrupting agents. Therefore, developing new and efficient air and water quality management systems is critical. Metal-organic frameworks (MOFs) are novel materials for which the main application areas include gas storage and separation, water harvesting from the atmosphere, chemical sensing, power storage, drug delivery, and food preservation. Due to their versatile structural motifs that can be modified during synthesis, MOFs also have a great promise for green applications including air and water pollution remediation. The motivation to use MOFs for environmental applications prompted the modification of their structures via the addition of metal and functional groups, as well as the creation of heterostructures by mixing MOFs with other nanomaterials, to effectively remove hazardous contaminants from wastewater and the atmosphere. In this review, we focus on the state-of-the-art environmental applications of MOFs, particularly for water treatment and air pollution, by highlighting the groundbreaking studies in which MOFs have been used as adsorbents, membranes, and photocatalysts for the abatement of air and water pollution. We finally address the opportunities and challenges for the environmental applications of MOFs

    Does policy style shift when the political regime changes? Insights from Turkey

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    This article applies the concept of 'policy styles' to Turkey in order to contribute to the scholarly debate on the relationship between policy styles and political regime. By uncovering the distinctive features of Turkey's policy processes through a within-case comparative approach, I advance two arguments. First, while policy styles are commonly viewed in literature as determined by administrative traditions, political institutions and policy paradigms, Turkey's policy style has been more responsive to electoral politics, and, until recently, problem situation, in particular crises. Second, policy style is both a cause and a consequence of regime change. Turkey's policy style has displayed both continuities as well as differences as it descended into authoritarianism. The characteristics of the policy style gradually undermine institutions of democracy. As democratic backsliding proceeds, government redesigns the institutional context of policy-making, reinforcing and consolidating the anti-democratic features of the policy style

    Would you imagine yourself negotiating with a robot, Jennifer? Why not?

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    With the improvement of intelligent systems and robotics, social robots are becoming part of our society. To accomplish complex tasks, robots and humans may need to collaborate, and when necessary, they need to negotiate with each other. While designing such socially interacting robots, it is crucial to consider human factors such as facial expression, emotions, and body language. Since gestures play a crucial role in interaction, this article studies the effect of gestures in human-robot negotiation experiments. Additionally, it compares the performance of variants of the well-known negotiation tactics (i.e., time-based and behavior-based) in automated negotiation literature in the context of human-robot negotiations. Our experimental results support the finding in automated negotiation. That is, the robot gained higher utility when it imitates its opponent's bidding strategy than employing a time-based negotiation strategy. When adopting a behavior-based technique, there is a statistically significant effect of gestures on the underlying negotiation process, and, therefore, on negotiation outcome.TÜBİTA

    An experimental study of underwater visible light communication

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    Visible light communication (VLC) has emerged as a powerful high-data-rate alternative to conventional underwater acoustic technology for short and medium link distances. In this paper, we develop an experimental underwater VLC platform and present some initial performance results. Our set-up uses prerecorded voltage levels fed in the arbitrary waveform generator (AWG) at the transmitter side while an oscilloscope is used to measure the received electrical signal after photodetection. To speed up debugging and troubleshooting, both transmitter and receiver sides are connected to a controller PC. The test instruments are controlled via Standard Commands for Programmable Instruments (SCPI) commands executed by this controller computer with a Python code. Using this set-up, we demonstrate the successful transmission of 8-PAM symbols over an 8-meter-long underwater tank

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