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Autonomous Structural Health Monitoring and Remaining Useful Life Estimation of Floating Offshore Wind Turbine Cables: Part II
No full textPart II reports on a new structural health monitoring (SHM) system integrated with a remotely operated vehicle (ROV) developed for underwater inspection and maintenance, part of the FLoating Offshore Wind turbine CAble Monitoring (FLOW-CAM) project, supported by European Union's HORIZON 2020 programme. Image data from underwater systems are analysed using computer vision techniques. Investigations into cable defect detection and the estimation of corrosion and remaining useful life (RUL) have been held to monitor cable health, achieving results close to reality. FLOW-CAM's collective works establish a basis for advancing underwater inspection and maintenance, concentrating on the development of practical and effective tools and strategies to optimise the functionality and reliability of floating offshore wind (FOW) farms.European Research Area (MarTERA) consortium; French National Research Agency (ANR); Scientific and Technological Research Council of TrkiyeFLOW-CAM project is an initiative under the Maritime and Marine Technologies for a NewEuropean Research Area (MarTERA) consortium, which is part of the Horizon 2020 ERA-NET Cofund scheme with the goal of advancing maritime and marine technologies in the European research area. Funded by the MarTERA partners, French National Research Agency (ANR) and The Scientific and Technological Research Council of Turkiye (TUEBITAK) , the project handles the problem the FOW farm power cable inspection, with the contribution to data analysis work by multinational partners and the essential robotics hardware provided by Desistek Robotik Ltd Sti, Tuerkiye.r European Research Area (MarTERA) consortium, which is part of the Horizon 2020 ERA-NET Cofund scheme with the goal of advancing maritime and marine technologies in the European research area. Funded by the MarTERA partners, French National Research Agency (ANR) and The Scientific and Technological Research Council of Turkiye (TUBITAK) , the project handles the problem the FOW farm power cable inspection, with the contribution to data analysis work by multinational partners and the essential robotics hardware provided by Desistek Robotik Ltd Sti, Turkiye
Autonomous Structural Health Monitoring and Remaining Useful Life Estimation of Floating Offshore Wind Turbine Cables: Part I
No full textFloating offshore wind (FOW) farms are key in meeting Europe's renewable energy targets, harnessing wind energy from waters 60 m or deeper, where bottom-fixed farms are unfeasible. Additionally, floating structures allow for the installation of larger turbines than stationary farms, which in turn leads to a greater energy output. However, cable failures dramatically impact the energy transmission from the farms and cause most of the financial losses. Monitoring and maintenance tasks are challenging due to the harsh ocean conditions. The FLoating Offshore Wind turbine CAble Monitoring (FLOW-CAM) project, supported by European Union's HORIZON 2020 programme, studies the structural health monitoring (SHM) of defects in the power cables of the FOW farms which encompass inspection and detection applications. An SHM system integrated with a remotely operated vehicle (ROV) was developed for underwater inspection and maintenance, supporting collection and presentation of essential data through an advanced interface. Part I details the technologies and methods used in this research.MarTERA partners; French National Research Agency (ANR); Scientific and Technological Research Council of Turkiye (TUBITAK)FLOW-CAM project is an initiative under the Maritime and Marine Technologies for a New European Research Area (MarTERA) consortium, which is part of the Horizon 2020 ERA-NET Cofund scheme with the goal of advancing maritime and marine technologies in the European research area. Funded by the MarTERA partners, French National Research Agency (ANR) and The Scientific and Technological Research Council of Turkiye (TUBITAK) , the project handles the problem the FOW farm power cable inspection, with the contribution to data analysis work by multinational partners and the essential robotics hardware provided by Desistek Robotik Ltd Sti, Turkiye
Distributed Verifiable Random Function With Compact Proof
No full textBen Gurion University of the Negev; BGU NHSA; IBM; SpringerVerifiable Random Functions (VRFs) are cryptographic primitives that generate unpredictable randomness along with proofs that are verifiable, a critical requirement for blockchain applications in decentralized finance, online gaming, and more. Existing VRF constructions often rely on centralized entities, creating security vulnerabilities. Distributed VRFs (DVRFs) offer a decentralized alternative but face challenges like large proof sizes or dependence on computationally expensive bilinear pairings. In this research, a unique distributed VRF (DVRF) system called DVRFwCP with considerable improvements is proposed. DVRFwCP has constant-size proofs, which means that the size of the proof does not change based on the number of participants. This overcomes a significant drawback of earlier DVRF systems, which saw proof size increase with participant count. Furthermore, DVRFwCP produces more efficient verification than previous systems by eliminating the requirement for bilinear pairings throughout the verification process. However, DVRFwCP necessitates an extra step of interaction between the participants. These innovations contribute to a more secure and scalable solution for generating verifiable randomness in decentralized environments. We compare our construction to well-established DVRF instantiations such as DDH-DVRF and GLOW-DVRF while also pointing out the major improvement in the estimated gas cost of these algorithms. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025
Somut Olmayan Kültürel Mirasın Korunması Kapsamında Yaratıcı Şehirler Ağı’nın Etkisi
No full textSince the beginning of the 1990s, various strategies have been developed to protect environmental, social, cultural and economic values and transmit them to future generations. These strategies are; starting with the New Urbanism Movement, Sustainable Cities, Ecological Cities, Smart Growth, Slow Cities, Low Carbon Cities, Livable Cities (Liveable Cities), Digital Cities, Smart Cities Initiatives and Creative Cities, etc. sorted by headings. These planning and design approaches offer various solutions in order to prevent environmental, social, cultural and economic deformation in cities. This article aims to examine the impact of the UNESCO Creative Cities Network in the context of safeguarding of the intangible cultural heritage. In this regard, the topic is addressed comprehensively and in depth, with reference to the ICH Convention, which provides a guiding framework for the safeguarding of the intangible cultural heritage. Although considered distinct frameworks, it is believed that these protection approaches have commonalities in their efforts to safeguard intangible cultural heritage. In this context, the UNESCO Creative Cities Network (UCCN), which emerged in 2004, aims to protect traditional culture and folklore against the increasing fast-moving consumption culture in the world. Cities involved in its creation acknowledge commitments to share best practices, develop partnerships that foster creativity and cultural industries, strengthen participation in cultural life, and integrate culture into urban development plans. UNESCO Creative Cities Network aims to strengthen the creation, production, distribution and dissemination of cultural activities, goods and services; to improve access and participation in cultural life, as well as enjoyment of cultural services for communities. It has an understanding that includes the goals of fully incorporating culture and creativity into local development strategies and plans. As of 2023, it operates within the scope of 7 creative themes with its 295 members. These areas are literature, cinema, music, craft and folk arts, design, media arts and gastronomy. In Türkiye, there are a total of 15 cities included in the UNESCO Creative City Network. Focusing on any of these themes will be effective for the cultural development of cities and creating social awareness. The Convention for the Safeguarding of the Intangible Cultural Heritage, accepted by UNESCO in 2003, has been adopted for a similar purpose as the UNESCO Creative Cities Network. As emphasized in The Convention for the Safeguarding of the Intangible Cultural Heritage, intangible cultural heritage is the crucible of cultural diversity and it is a contract that is considered as the assurance of sustainable development. The countries included in the structure are expected to contribute to the preservation of this heritage in the spirit of cooperation and mutual assistance. To analyze the relationship between the preservation approaches of both entities operating under the auspices of UNESCO, a comprehensive study was conducted, drawing on relevant texts, manifestos, periodic reports, mission statements, implementation guidelines, ethical codes, and official websites. The findings indicate that the UNESCO Creative Cities Network functions with the overarching objective of fostering global awareness regarding the safeguarding the cultural heritage, recognized as the creative assets of cities. In this context, the events and practices implemented in the designated cities exemplify tangible efforts to preserve intangible cultural heritage. © 2025, Milli Folklor Dergisi. All rights reserved
Search for the Associated Production of Charm Quarks and a Higgs Boson Decaying into a Photon Pair with the ATLAS Detector
No full textA search for the production of a Higgs boson and one or more charm quarks, in which the Higgs boson decays into a photon pair, is presented. This search uses proton-proton collision data with a centre-of-mass energy of s = 13 TeV and an integrated luminosity of 140 fb−1 recorded by the ATLAS detector at the Large Hadron Collider. The analysis relies on the identification of charm-quark-containing jets, and adopts an approach based on Gaussian process regression to model the non-resonant di-photon background. The observed (expected, assuming the Standard Model signal) upper limit at the 95% confidence level on the cross-section for producing a Higgs boson and at least one charm-quark-containing jet that passes a fiducial selection is found to be 10.6 pb (8.8 pb). The observed (expected) measured cross-section for this process is 5.3 ± 3.2 pb (2.9 ± 3.1 pb). © The Author(s) 2025.Ministerio de Ciencia, Innovación y Universidades, MCIU; Agencia Nacional de Investigación y Desarrollo; BSF-NSF; BNL; Australian Research Council, ARC; DRAC; La Caixa Banking Foundation; Centre National pour la Recherche Scientifique et Technique, CNRST; NAWA; Center for African Studies, CAS; Fundação para a Ciência e a Tecnologia, FCT; European Union, Future Artificial Intelligence Research; European Organization for Nuclear Research; Ministero dell'Università e della Ricerca, MUR; Polish National Science Centre; Georgia Health Initiative, HGF; Narodowe Centrum Nauki, NCN; Grantová Agentura České Republiky, GACR; National Science Foundation, NSF; Baden-Württemberg Stiftung; Science and Technology Facilities Council, STFC; Horizon 2020, ICSC-NextGenerationEU; H2020 Marie Skłodowska-Curie Actions, MSCA; Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro, FAPERJ; Nederlandse Organisatie voor Wetenschappelijk Onderzoek, NWO; Ministerio de Ciencia e Innovación, MCIN; Ministry of Science and Innovation; Istituto Nazionale di Fisica Nucleare; Ministry of Science and Higher Education; Leverhulme Trust; Baden-Württemberg Stiftung, BWS; Research Council of Norway; Japan Society for the Promotion of Science; Knut och Alice Wallenbergs Stiftelse; MVZI; PROMETEO; Spine Education and Research Institute, SERI; Neubauer Family Foundation, NFF; The Slovenian Research and Innovation Agency, ARIS; Ministry of Education Youth and Sports; Generalitat de Catalunya; Neubauer Family Foundation; Bundesministerium für Wissenschaft, Forschung und Wirtschaft, BMWFW; Austrian Science Fund, FWF; BCKDF; Narodowa Agencja Wymiany Akademickiej, NAWA; Yerevan Physics Institute; Leverhulme Trust; ERDF; Agencia Nacional de Investigación y Desarrollo, ANID; Bundesministerium für Bildung und Forschung, BMBF; Slovenian Research Agency; Canada Foundation for Innovation, CFI; Danmarks Grundforskningsfond, DNRF; Conselho Nacional de Desenvolvimento Científico e Tecnológico, CNPq; Forskningsrådet för hälsa, arbetsliv och välfärd, FORTE; Karlsruhe Institute of Technology, KIT; Canarie; GridKA; Göran Gustafssons Stiftelse; Horizon 2020 Framework Programme; Göran Gustafssons Stiftelser; Deutsche Forschungsgemeinschaft, DFG; United States-Israel Binational Science Foundation, BSF; Generalitat de Catalunya; European Commission, EU; European Social Fund Plus, ΕΚΤ; European Cooperation in Science and Technology, COST; EU-ESF; COST; CRC; Generalitat Valenciana; International Council of Shopping Centers, ICSC; RGC; Duchenne Research Fund, DRF; Netherlands Organisation for Scientific Research; Fundação de Amparo à Pesquisa do Estado de São Paulo, FAPESP; PRIMUS; Agencia Estatal de Investigación, AEI; Islamic Scholarship Fund, ISF; ICSC; ANR; Institutul de Fizică Atomică, IFA; Natural Sciences and Engineering Research Council of Canada, NSERC; Chinese Ministry of Science and Technology; Nella and Leon Benoziyo Center for Neurological Diseases, Weizmann Institute of Science; GenT Programmes Generalitat Valenciana, Spain; Swiss National Science Foundation; Marie Skłodowska-Curie Actions; National Science and Technology Council, NSTC; EU; MINERVA, Israel; Federación Española de Enfermedades Raras; FONDECYT; Irish Rugby Football Union, IRFU; Cantons of Bern and Geneva; Agence Nationale de la Recherche; Defence Science Institute, DSI; National Natural Science Foundation of China; MSTDI; Horizon 2020 Framework Programme; MNE; Agencia Nacional de Promoción Científica y Tecnológica, ANPCyT; Royal Society; Minerva Foundation; Marcus och Amalia Wallenbergs minnesfond, MMW; Royal Society; CERN-CZ; National Research Foundation, NRF; European Regional Development Fund, EFRR; Ministerstwo Edukacji i Nauki, MNiSW; FAPERJ; European Research Council; Generalitat Valenciana, GVA; CERN, CERN; Ministerstvo Školství, Mládeže a Tělovýchovy, MSMT; European Union; National Research Council Canada, NRC; Vetenskapsrådet, VR; Alexander von Humboldt-Stiftung, AvH; Multiple Sclerosis Scientific Research Foundation, MSSRF; DFG; AvH Foundation; Horizon 2020; Istituto Nazionale di Fisica Nucleare, INFN; British Columbia Knowledge Development Fund, BCKDF; CANARIE; Ministry of Education, Culture, Sports, Science and Technology, MEXT; UK Research and Innovation, UKRI; Knut and Alice Wallenberg Foundation, (KAW 2018.0157, KAW 2018.0458, KAW 2019.0447, KAW 2022.0358); U.S. Department of Energy, USDOE, (ECA DE-AC02-76SF00515); U.S. Department of Energy, USDOE; MCIN, (PCI2022-135018-2, RYC2019-028510-I, PID2021-125273NB, RYC2021-031273-I, RYC2022-038164-I, RYC2020-030254-I); Ministero dell’Università e della Ricerca, (PRIN - 20223N7F8K - PNRR M4.C2.1.1); Fondo Nacional de Desarrollo Científico y Tecnológico, FONDECYT, (1240864, 1230987, 1230812); Fondo Nacional de Desarrollo Científico y Tecnológico, FONDECYT; NCN, (UMO-2020/37/B/ST2/01043, 2022/47/B/ST2/03059, UMO-2023/49/B/ST2/04085, UMO-2019/34/E/ST2/00393, UMO-2021/40/C/ST2/00187, 2021/42/E/ST2/00350, UMO-2023/51/B/ST2/00920, UMO-2022/47/O/ST2/00148); European Research Council, ERC, (101089007, 948254); European Research Council, ERC; Czech Science Foundation, (GACR - 24- 11373S); North Dakota Game and Fish Department, NDGF, (CC-IN2P3); North Dakota Game and Fish Department, NDGF; Norges Forskningsråd, (RCN-314472); Norges Forskningsråd; NextGenerationEU, NGEU, (PE00000013); NextGenerationEU, NGEU; GenT Programmes Generalitat Valenciana, (CIDEGENT/2019/027); Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung, SNF, (RPG-2020-004, NIF-R1-231091, PCEFP2_194658); Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung, SNF; Japan Society for the Promotion of Science, KAKENHI, (JP22KK0227, JP22H04944, JP23KK0245, JP22H01227); Japan Society for the Promotion of Science, KAKENHI; Polish National Agency for Academic Exchange, (PPN/PPO/2020/1/00002/U/00001); Center for Advancing Research Impact in Society, ARIS, (J1-3010); Center for Advancing Research Impact in Society, ARIS; H2020 European Research Council, CER, (ERC - 101002463); H2020 European Research Council, CER; Deutsche Forschungsgemeinschaft, (DFG - CR 312/5-2, DFG - 469666862); Ministry of Science and Technology of the People's Republic of China, MOST, (MOST-2023YFA1605700); Ministry of Science and Technology of the People's Republic of China, MOST; Agence Nationale de la Recherche, ANR, (ANR-20-CE31-0013, ANR-21-CE31-0013, ANR-22-EDIR-0002, ANR-21-CE31-0022); Agence Nationale de la Recherche, ANR; U.S. Department of Energy, (ECA DE-AC02-76SF00515); FEDER, (IDIFEDER/2018/048); H2020 European Research Council, (ERC - 101002463); MUCCA, (CHIST-ERA-19-XAI-00); IDUB AGH, (9722); FAIR-NextGenerationEU, (PE00000013); FORTE, (CZ.02.01.01/00/22_008/0004632, PRIMUS/21/SCI/017); National Natural Science Foundation of China, NSFC, (12275265, 12175119, NSFC-12075060); National Natural Science Foundation of China, NSFC; DNSRC, (IN2P3-CNRS); Investissements d’Avenir Labex, (ANR-11-LABX-0012); ERC, (101089007); Swedish Research Council, (VR 2022-03845, VR 2018-00482, VR 2022-04683, 2021-03651, 2023-04654, VR 2023-03403
Disrupted Object Affordances and (Un)Reflexive Disposal
No full textWe examine how consumers respond to objects within the home that no longer fulfil their expected functions, which we refer to as 'disrupted objects'. Some disrupted objects have transparent affordances for removal, while others present ambiguous or even conflicting affordances that complicate the removal decision. These affordances invite different consumer responses to disruptions by triggering varying degrees of reflexivity. In the context of disrupted objects, consumers respond via routine removal, which is largely automatic and non-reflexive; exploratory removal, characterised by trial and error; and selective removal, which requires deliberate consideration of space, identity, and household practices. We also find that, rather than just ensuring stability, routines can be flexible and adaptable to accommodate disruptions within the home. We provide implications for researchers, practitioners and policymakers
Women's Ngos in Turkey and Syrian Refugee Women: an Analysis of Evolving Attitudes and Policies Since 2011
No full textBu tezin temel amacı, Türkiye'deki kadın sivil toplum kuruluşlarının (STK), 2011 yılından bu yana Suriye göçüne nasıl yanıt verdiklerini anlamak, Suriye iç savaşı nedeniyle Türkiye'de geçici koruma rejimi altında yaşayan ve tezde 'mülteci' olarak anılacak olan Suriyeli kadın mültecilere yönelik tutum ve politikalarını incelemektir. Tez, seçilmiş bazı kadın STK'larıyla yapılan derinlemesine yarı yapılandırılmış görüşmelere dayalı nitel bir metodoloji ile kadın STK'ların gelişen tutumlarını, politikalarını ve çalışmalarını analiz edecektir. Çalışma, kadın STK'ları ile Suriyeli kadın mülteciler arasında dayanışma bağlarından söz etmenin mümkün olup olmadığını değerlendirecek ve Suriye göçüne dair genel görüşlerini ortaya koyacaktır. Tez, kadın STK'larının perspektifini dönemlendirme yöntemiyle; farkındalıkları, kapasiteleri ve devlet-sivil toplum ilişkileri bağlamındaki koşulların yanı sıra son yıllarda Türkiye'de artan göçmen karşıtı, toplumsal cinsiyet eşitliği karşıtı ve ırkçı tutumlar açısından analiz edecektir. Tez, mevcut çalışmaların ötesine geçmeyi hedefleyerek, Suriyeli mülteci kadınların cinsiyet ve göç gibi kesişen faktörlerle şekillenen ikili kırılganlıklarına ve temel haklara erişimlerini engelleyen sistemik engellere ışık tutmayı amaçlamaktadır. Kadın STK'larının bu zorlukları ele alma çabaları, genellikle sınırlı kaynaklar ve Türkiye'nin sosyo-politik bağlamı tarafından kısıtlanan, güçlendirme, dayanışma ve savunuculuk temalarını ön plana çıkarmaktadır.The primary purpose of this thesis is to understand how the women's non-governmental organizations (NGOs) in Turkey have been responding the Syrian migration since 2011 and explore their attitudes and policies towards Syrian refugee women that are placed under the temporary protection regime in Turkey due to the Syrian civil war and will be referred as refugees in the thesis. Through a qualitative methodology based on in-depth semi-structured interviews with some of the selected women NGOs and broad review of websites of the women NGOs, this thesis will analyze the evolving responses, attitudes and policies, projects and works of women NGOs. The study will assess whether it is possible to talk of solidarity ties between women's NGOs and Syrian refugee women while portraying their general views of Syrian migration. The thesis will analyze women's NGOs' perspective and response through periodization and in terms of their awareness, capacity and contextual factors of state-civil society relations and rising anti-immigrant, anti-gender and racist attitudes in Turkey in the last few years. The thesis aims to go beyond the existing studies and shed light on dual vulnerabilities of Syrian refugee women, shaped by intersecting factors of gender and migration, and the systemic barriers that hinder their access to essential services and rights. The NGOs' efforts to address these challenges highlight themes of empowerment, solidarity, and advocacy, often constrained by limited resources and socio-political context of Turkey
Güncel Mimarlıkta Yeni Teknolojiler; Mimarlıkta Değişen Düşünce Setleri
No full textMİTA IV: Mimari Tasarım Eğitiminin Geleceği: Deneyim, Performans, Spekülasyon 25-27 Nisan 2024[No Abstract Available
Performance Analysis of a 2d-Music Algorithm for Parametric Near-Field Channel Estimation
No full textBjornson, Emil/0000-0002-5954-434XIn this letter, we address parametric channel estimation in a multi-user multiple-input multiple-output system within the radiative near-field of the base station array with aperture antennas. We investigate a two-dimensional multiple signal classification algorithm (2D-MUSIC) to estimate both the range and the azimuth angles of arrival for the users' channels, utilizing parametric radiative near-field channel models. We analyze the performance of the algorithm by deriving the Cram ; eacute;r-Rao bound (CRB) for parametric estimation, and its effectiveness is compared against the least squares estimator, which is a non-parametric estimator. Numerical results indicate that the 2D-MUSIC algorithm outperforms the least squares estimator. Furthermore, the results demonstrate that the performance of 2D-MUSIC achieves the parametric channel estimation CRB, which shows that the algorithm is asymptotically consistent.This work was supported in part by the EU Horizon 2020 MSCA-ITNMETAWIRELESS under Grant 956256, and in part by the Swedish Research Council under Grant 2019-05068. The work of Gabor Fodor was supported by the 6G-MUSICAL EU project under Grant 101139176.EU Horizon 2020 MSCA-ITNMETAWIRELESS [956256]; Swedish Research Council [2019-05068]; The 6G-MUSICAL EU project [101139176