223 research outputs found
Trivialized Content, Elevated From: Aesthetics of Secrecy in Turkish Politics in the 2000s
No full textThis essay will first provide a brief history of the Islamist party\u27s coming to power by means of its effective use of a populist imagery. The paper will then focus on the emergence of a new regime of secrecy in Turkish politics by looking at two high-profile legal cases, Ergenekon and the “Cosmic Room,” in which one can observe the blueprints of a struggle between different factions for taking over the state. During the investigations, secret documents about the wrongdoings of the secular establishment were leaked to and widely covered by the media. Sober debates on the contents of such documents were dwarfed by the tendency to scandalize, stigmatize, and foster fascination for the purported clandestine organizations within the state in line with conspiracist aesthetics. In later sections of the paper, the elements of entertainment and seriousness of this conspiracist aesthetics are analyzed
The AKP's delirious spaces: enjoying the notions of construction and architecture in neoliberal Turkey
No full textAfter the Justice and Development Party (AKP), that had been in office for almost ten years, presented the project of Kanal Istanbul, more commonly known as the 'crazy project' in the eve of 2011 general elections, a state of excess and delirium became visible in several segments of society such as mass media and business sector. With respect to its vision of changing the landscape in quite a radical fashion, the 'crazy project' is emblematic of the excessive and delirious state in the construction sector for the last five years or so in Turkey. This thesis focuses on the AKP's hegemony through its spatial practices and regulations of everyday life. In this research, the role of social fantasy is discussed regarding the ways in which the notions of architecture and construction are conceived. Accordingly, the issue of 'catching up with the West', which has been quite prevalent from the foundation of the republic, is re-problematized in the neoliberal context. Apart from the discursive aspect of the subject, the role of enjoyment (jouissance), that which escapes analysis, is taken into consideration by consulting Lacanian psychoanalysis and its pertinent concepts throughout this thesis
Difference: Sexual, Cultural and Universal
No full textThe ISBN that appears on page 3 is incorrect. The ISBN in the item's metadata is correct
Hstr-net: Reference based video super-resolution with dual cameras
No full textHigh-spatio-temporal resolution (HSTR) video recording plays a crucial role in enhancing various imagery tasks that require fine-detailed information. State-of-the-art cameras provide this required high frame-rate and high spatial resolution together, albeit at a high cost. To alleviate this issue, this paper proposes a dual camera system for the generation of HSTR video using reference-based super-resolution (RefSR). One camera captures high spatial resolution low frame rate (HSLF) video while the other captures low spatial resolution high frame rate (LSHF) video simultaneously for the same scene. A novel deep learning architecture is proposed to fuse HSLF and LSHF video feeds and synthesize HSTR video frames. The proposed model combines optical flow estimation and (channel-wise and spatial) attention mechanisms to capture the fine motion and complex dependencies between frames of the two video feeds. Simulations show that the proposed model provides significant improvement over existing reference-based SR techniques in terms of PSNR and SSIM metrics. The method also exhibits sufficient frames per second (FPS) for aerial monitoring when deployed on a power-constrained drone equipped with dual cameras. The source code is publicly available at https://github.com/umutsuluhan/HSTRNet. © The Author(s) 2025.TÜBİTAKPublisher versio
Powered by Secrecy: Contesting Imaginaries of Migration Governance in Turkey
No full textIn light of a growing body of literature on migration and border governance engaging with the legal and institutional production of heterogenous forms of non-knowledge, this article aims to contribute to this scholarship by attending to the role of secrecy through the case of Turkey. This paper turns the spotlight on the migration governance in Turkey by investigating the ways in which secrecy is perceived, contested, and reconfigured by civil society actors. The article argues that the extensive use of secrecy engenders perceptions that vacillate between two opposing imaginaries: the central migration authority as an incompetent entity and as a security agency with an aura of omnipotence. By drawing on and subverting Luc Boltanski’s notion of domination as a reality-stabilising function, we propose that the undecidable nature of the migration governance enables a form of domination hinging on the destabilisation of reality in the eyes of subjects that are paralysed, disarmed, and disabled to cope with the policies in practice. © 2024 Taylor & Francis Group, LLC.Istanbul Policy Center; Sabancı Üniversitesi, SUSocial Science Citation Inde
Devletleşen Akp, Değişmeyen Devlet.
No full textA co-authored piece on the transformation of the Turkish state under the Justice and Development Party Government
Efficient Content-Based Image Retrieval from Videos using Compact Deep Learning Networks with Re-ranking
No full textThe rise of streaming and video technologies has underscored the significance of efficient access and navigation of digital content, particularly for scholars in fields like history and art. Scholars actively seek streamlined approaches to index, retrieve, and explore digital content, with a focus on locating specific instances. The process of searching for specific instances in video search is complex that requires the analysis of video sequences and the identification of relevant video segments. Advanced techniques and algorithms are necessary to ensure effective content-based retrieval of the required information.In response to the escalating demand for accurate and swift access to relevant visual data within the vast spectrum of video resources, our research has been dedicated to the development of novel, efficient content-based image retrieval methods tailored for videos by integrating deep learning methodologies. Our comprehensive system contains two crucial components: keyframe extraction and content-based image retrieval. Keyframe extraction involves identifying significant frames within videos, while content-based image retrieval enables the retrieval of similar frames to a query image through feature extraction and ranking.A unique aspect of our research lies in the exploration and analysis of a diverse range of feature extraction techniques derived from compact deep learning networks. We have compared our proposed method with state-of-the-art retrieval systems, evaluating performance metrics in terms of both accuracy and speed. Our method harnesses the power of compact deep learning network features in the initial ranking stage, effectively sublisting frames, and subsequently introduces re-ranking using a larger network. This innovative approach promises to deliver the best of both worlds: exceptional efficiency without compromising retrieval accuracy.Electrical Engineering | Signals and System
Hyperloop: A Multi-Objective Optimization Approach to Network Design
No full textThe pivotal sector of transportation has shown signs of a surge in demand. The European Union projects a 42% increase in passenger transport from 2019 until 2050. Policymakers and stakeholders must collaborate to address the increasing transportation demand while considering environmental, societal, and economic benefits Despite efforts to mitigate emissions, the transportation sector has not achieved substantial reductions. The emergence of Hyperloop technology presents a disruptive solution that could address this transportation challenge in Europe. It has been pursued as a viable alternative to air travel, rail, and traditional forms of transportation due to its affordability, sustainability, and rapid speeds of up to 1200 km/h. Even though Hyperloop is a promising alternative in the transportation sector, the technology is still largely in development. There are multi-dimensional considerations in understanding whether the Hyperloop will become a mainstream transport option for passengers and whether the conflicting objectives will result in an efficient Hyperloop network. A knowledge gap was identified with a lack of studies to explore the relationship between the network design objectives and the network design itself.In order to identify the impacts of the Hyperloop network design in the global transportation sector, a literature review was conducted on the transformative potential of the Hyperloop. Key strengths were identified as a reduction in travel times and low operational emissions. On the other hand, the high capital resources required and the uncertainty around the safety of technology were the main points of criticism. In order to analyze the potential demand for Hyperloop and model the modal shift, a Multi- Nominal Logit was employed where a utility function was formulated for the total benefit passengers receive upon completing a trip. The key attributes for the utility function were selected as travel time, travel costs, number of transfers, and safety perception, in alignment with previous studies on the subjects. A utility-based probabilistic mode choice was determined for the available demand. A multi-objective optimization problem was formulated for the facility-location network design of Hyperloop. The decision variables of the model were formulated as the decision to open a Hyperloop hub at a location and the decision to build infrastructure between the selected Hyperloop hubs. The model output is an alternate network optimized for four different objective functions. These objectives are determined to be (1) Utility Maximization, (2) Probability of Purchase Maximization, (3) Emission Minimization, and (4) Revenue Maximization as these factors were determined to be key performance indicators in a prospective Hyperloop network. The model aims to provide the decision-makers with an overview of the trade-offs involved with varying objective criteria considered in the network generation.A case study was created to test the model within Europe. The main aim of the case study is to assess the economic and environmental impacts of the Hyperloop system and provide recommendations to policymakers regarding the conception of the Hyperloop network within the European Union. The case study employs the NUTS classification and excludes European countries where the demand data is incomplete and focuses on countries within the TEN-T network. Furthermore, three categories of experimental scenarios were set up to assess the sensitivity of the model to parameter values. The categories are (1) pricing strategy scenarios, (2) safety perception scenarios and (3) policy intervention scenarios. The findings reveal significant disparities in network characteristics based on different objective criteria. The Utility Maximization objective focuses on maximizing trip utility, leading to a network design with direct links between hubs, resulting in compact networks and lower infrastructure costs. However, Spain and Italy have lower priority in this design. On the other hand, the other three objectives (probability of purchase maximization, emission minimization, and revenue maximization) yield networks with a minimum-spanning tree pattern. These networks outperform the utility maximization network in terms of attracting passengers, reducing emissions, and economic performance. To maximize societal benefits, it is recommended to prioritize the remaining three objectives. The study finds that Hyperloop becomes more competitive for longer-distance trips. Experimentation with ticket prices, safety perception, and policy interventions demonstrates their influence on modal share, revenue stability, and carbon emissions. Higher ticket prices discourage Hyperloop usage, safety perception plays a crucial role, and policies discouraging short-haul flights result in higher Hyperloop modal share and lower emissions. These findings highlight the importance of considering ticket prices, safety perception, and strategic policies to promote sustainable transportation and reduce carbon emissions through a modal shift to Hyperloop.Future research opportunities include expanding the utility function to incorporate additional attributes affecting mode choices, exploring modal shifts from other modes to Hyperloop, relaxing assumptions about geographical obstacles and hub locations, integrating strategic and tactical planning, and validating the model with a broader range of origin-destination pairs. Computational performance can be enhanced using meta-heuristics to compare different heuristics for network outputs and efficiency.Complex Systems Engineering and Management (CoSEM
Topic Analysis on Popular Software Testing Books: Mining Software Testing Knowledge
No full textIn this study, we try to understand what kind of topics and frameworks are covered by the popular software testing books, and see whether these topics satisfy the industry needs and address the rising trends. To define "popular" software testing books, we formulated three heuristics. The topics of the books are analyzed through LDA topic modelling and manual inspection. LDA results inform us on the dominance of the topics within the whole corpus, while the manual inspection results show how often a topic is addressed. We combine the results of both of the methods to analyse the most noteworthy topics. We found that test automation, test design and planning, coverage analysis were the most frequently and extensively discussed topics in our corpus. We conclude that although the books cover some major topics that are demanded by the industry, there are also areas such as test management and usability testing, which are underrepresented. We also observed that the popular software testing books do not cover the rising software testing trends. While JUnit was the most discussed framework, in general the software testing books do not include practical information for specific frameworks or tools, but rather focus on the tool selection process.CSE3000 Research ProjectComputer Science and Engineerin
Optimizing strains in Metabolic Engineering: comparative analysis of β-Conditional Variational Auto-encoder and Probabilistic PCA for synthetic data generation
No full textThis research explores the landscape of dataset generation through the lens of Probabilistic Principal Component Analysis (PPCA) and β-Conditional Variational Auto-encoder (β-CVAE) models. We conduct a comparative analysis of their respective capabilities in reproducing datasets that mirror the distribution of the original data that comes from a hypothetical pathway kinetic model based on an E.coli strain using varied parameter settings falling within a specified range. The requirement of significant prior investment in acquiring accurate details about the distinct mechanisms governing each reaction and its parameters for the construction of these kinetic models push us to find alternative ways to generate data that guide metabolic engineering processes. This paper tries to find a viable option through compression algorithms that reduce dimensionality. The PPCA model demonstrates commendable fidelity in capturing overarching patterns, though areas for refinement in reproducing specific data points are identified. In contrast, the β-CVAE model exhibits higher fidelity, precision, and consistency, positioning it as a robust choice for data generation tasks. This study was constrained by both time and the specificity of the model architectures and the dataset. These limitations underscore the imperative for continual exploration and refinement within the dynamic landscape of generative modeling. Opportunities could be found in the refinement of both VAE, CVAE and β-CVAE models utilizing varied hyperparameters alongside different architectures, to increase applicability across diverse datasets within the realm of metabolic engineering.CSE3000 Research ProjectComputer Science and Engineerin
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