WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
Permanent URI for this collectionhttps://hdl.handle.net/11147/7150
Browse
22 results
Search Results
Article Citation - WoS: 3Citation - Scopus: 3Where Do Temporary Urban Design Interventions Fall on the Spectrum of Public Participation? an Analysis of Global Trends(Elsevier Ltd, 2024) Doğu,T.; Mengi,O.; Köse,S.; 01. Izmir Institute of TechnologyUrban environments profoundly shape human life, yet rapid urbanization often overlooks social challenges, hindering the development of cohesive communities. To address these challenges, contemporary practices are embracing participatory design approaches globally, resulting in a growing trend towards temporary urban design interventions (TUDIs) that catalyze shifts in how people interact with cities. While scholarly research explores the relationship between participation and social change, it offers significant potential for raising questions about such connection: Where do TUDIs fall on the spectrum of public participation? How would a comprehensive framework be formulated to evaluate such interventions regarding public participation and social change? What are the design processes and design outcomes of these interventions? This study examines the relationship between participation and social change in the context of TUDIs, via a meta-analysis of the literature and practice, to devise a methodological framework that integrates a variety of components involved in urban design projects worldwide. The framework informs urban design theory and practice about TUDIs through the lens of participation, while simultaneously underlining their value as a strategic tool for socially integrated cities. © 2024 Elsevier LtdArticle Citation - WoS: 5Citation - Scopus: 5Rethinking Planning and Nature Conservation Through Degrowth/ Post-Growth Debates(Elsevier Ltd, 2024) Avar, Adile; Cive,Y.Ö.; 01. Izmir Institute of Technology; 02.03. Department of City and Regional Planning; 02. Faculty of ArchitectureBased on the critical debates in urban theory, political ecology and urban political ecology literature, this article interrogates the potentialities and limitations of degrowth/post-growth planning, regarding relational, non-dualistic and multi-scalar spatialization of nature conservation. It firstly reveals that pragmatic, technoscientific and “sustainable/ecological urbanism” and market-based nature conservation it incorporates exacerbate socio-ecological crises and socio-spatial inequalities in and beyond cities under the conditions of planetary urbanisation. Second, it interrogates how new market-based nature conservation turned into 'green-grabbing' and primitive accumulation. Having explored the degrowth or post-growth approach in relation to other radical nature conservation approaches (e.g., convivial conservation and global safety network), it interrogates the ways in which post-growth planning deals with socio-spatial aspects of nature conservation. It takes the “degrowth/ post-growth planning” both as an instrument to spatialize radical nature conservation and as an approach addressing socio-ecological injustices and inequalities intersecting at multiple scales. It concludes that the degrowth/ post-growth planning can overcome its limitations and advance its potentialities, drawing from already existing radical conservation and critical approaches in neighbouring disciplines as well as the discipline itself. © 2024 Elsevier LtdArticle Citation - WoS: 8Citation - Scopus: 9Modelling and Analysis of Heat Pump Integrated Photovoltaics-Wind Systems for an Agricultural Greenhouse in Turkey(Elsevier Ltd, 2024) Çağlar, Başar; Bilir,L.; Caglar,B.; 01. Izmir Institute of Technology; 03.06. Department of Energy Systems Engineering; 03. Faculty of EngineeringThis study focused on modelling and analysing photovoltaics and wind systems to meet the heating demand of a commercial greenhouse. The aim is to evaluate technical, economic, and environmental performances of the related systems and to determine the optimum configuration. A novel approach was introduced by integrating hybrid energy systems with large-scale wind turbines and developing a dynamic heat transfer model. A large commercial greenhouse with an area of 26,640 m2 located in Izmir, Turkey was selected for considering Mediterranean climate, and a detailed heat transfer model of the greenhouse were developed considering heat transfers by convection, radiation, ventilation, and infiltration. A combination of air source heat pumps, photovoltaic panels and wind turbines were used for meeting the heating demand of the related greenhouse. Five different on-grid energy systems scenarios, namely (i) Photovoltaics-Heat Pump, (ii) Photovoltaics-Wind Turbine- Heat Pump, (iii) Wind Turbine- Photovoltaics- Heat Pump (iv) Wind Turbine- Heat Pump, and (v) only Heat Pump were considered. The system modelling with a detailed heat transfer analysis of the greenhouse was made by MATLAB. The energy analysis of the systems was performed on an hourly basis for one calendar year. The annual heating demand and the corresponding electricity consumption of the greenhouse were calculated as 497.37 and 114.07 kWh/m2, respectively. Net Present Value, Levelized Cost of Energy and CO2 savings were used to evaluate economic and environmental performances of the systems. Among five on-grid energy system scenarios, the first scenario, consisting of 5271 photovoltaic panels and 20 heat pumps, emerged as the most economically attractive choice with Net Present Value and Levelized Cost of Energy of $547,440.40 and 0.080146 $/kWh, respectively. Critical parameters affecting the economy of this scenario were found to be electricity prices, tomato yield, and photovoltaic panel prices. For environmental evaluation the fourth scenario, integrating wind turbines and heat pumps, achieves the highest CO2 savings of 2,064.73 tons due to increased renewable electricity production and lower life-cycle CO2 emissions of wind turbines compared to photovoltaic systems. This analysis enhanced the understanding of energy dynamics in greenhouse environments, contributing to the advancement of sustainable practices in agriculture. © 2024 Elsevier LtdArticle Citation - WoS: 3Citation - Scopus: 4The Effect of Structural Retrofitting and Ventilation Scenarios on the Indoor Microclimate of a Historical Library: The Necip Pasa Library, Turkiye(Elsevier Ltd, 2024) Durmuş Arsan, Zeynep; Gökçen Akkurt, Gülden; Coşkun, Turgay; 01. Izmir Institute of Technology; 02.02. Department of Architecture; 02. Faculty of Architecture; 03.06. Department of Energy Systems Engineering; 03.10. Department of Mechanical Engineering; 03. Faculty of EngineeringStructural retrofitting in buildings may result in changes in the indoor microclimate. Chemical, mechanical and biological deterioration can be seen in the cultural properties as a consequence of substrates and inappropriate microclimatic conditions such as high indoor temperature, relative humidity and fluctuations of them. The primary aim of the study is to evaluate the effect of the structural retrofitting, that the building underwent, on the chemical degradation risk of the library collection based on two different ventilation scenarios. One is natural ventilation which is an existing situation since the building is free-floating. The other one implementing a mechanical ventilation system into the building. To be able to compare the microclimate that affects the library collection pre- and post-retrofitting, two models are developed in DesginBuilder and simulated for both scenarios. According to the results of the post-retrofitting model, mechanical ventilation reduced the risk of chemical degradation by 38 %, while natural ventilation did not cause any effect. Natural ventilation gives a similar output in the pre-retrofitting model as in the post-retrofitting model. Mechanical ventilation in the pre-retrofitting model achieves a 33 % reduction in chemical degradation risk. Structural retrofitting only achieves a 1 % reduction in the chemical risk level for both ventilation scenarios. Thus, its effect on the indoor microclimate is insignificant. This study shows that creating simulation models effectively assesses potential risks pre-post-structural retrofitting or any retrofitting in historical buildings. Simulations reveal that mechanical ventilation is a better choice for decreasing chemical degradation risks for the library. © 2024 Elsevier LtdArticle Novel Neural Style Transfer Based Data Synthesis Method for Phase-Contrast Wound Healing Assay Images(Elsevier Ltd, 2024) Erdem,Y.S.; Iheme,L.O.; Uçar,M.; Özuysal,Ö.Y.; Balıkçı,M.; Morani,K.; Ünay,D.; 01. Izmir Institute of TechnologyRecent advancements in the field of image synthesis have led to the development of Neural Style Transfer (NST) and Generative Adversarial Networks (GANs) which have proven to be powerful tools for data augmentation and realistic data generation. While GANs have been widely used for both data augmentation and generation, NST has not been employed for data generation tasks. Nonetheless, the simpler structure of NST compared to GANs makes it a promising alternative. In this research, we introduce an NST-based method for data generation, which to the best of our knowledge, is the first of its kind. By taking advantage of simplified architecture of NST models attributed to the utilization of a real image as the style input, our method enhances performance in data generation tasks under limited resource conditions. Additionally by utilizing patch-based training and high-resolution inference process high quality images are synthesized with limited resources. Furthermore multi-model and noised input is utilized for increased diversity with the novel NST-based data generation approach. Our proposed method utilizes binary segmentation maps as the condition input, representing the cell and wound regions. We evaluate the performance of our proposed NST-based method and compare it with a modified and fine-tuned conditional GAN (C-GAN) methods for the purpose of conditional generation of phase-contrast wound healing assay images. Through a series of quantitative and qualitative analyses, we demonstrate that our NST-based method outperforms the modified C-GAN while utilizing fewer resources. Additionally, we show that our NST-based method enhances segmentation performance when used as a data augmentation method. Our findings provide compelling evidence regarding the potential of NST for data generation tasks and its superiority over traditional GAN-based methods. The NST for data generation method was implemented in Python language and will be accessible at https://github.com/IDU-CVLab/NST_for_Gen under the MIT licence. © 2024 Elsevier LtdArticle Citation - WoS: 5Citation - Scopus: 8High Entropy (hftizrvnb)b2 Ceramic Particulate Reinforced Al Matrix Composites: Synthesis, Mechanical, Microstructural and Thermal Characterization(Elsevier Ltd, 2024) Çağıran, Özge Balcı; Özçakıcı,Y.E.; Tekinşen,A.S.; Bayrak,K.G.; Mertdinç-Ülküseven,S.; Balcı-Çağıran,Ö.; Ağaoğulları,D.; 01. Izmir Institute of Technology; 03.09. Department of Materials Science and Engineering; 03. Faculty of EngineeringThis study aims to introduce a novel type of particulate reinforced Al matrix composite. High entropy (HfTiZrVNb)B2 ceramic particulate reinforced Al matrix composites were produced via a combined process of different powder metallurgy methods. Firstly, boride compounds (HfB2, TiB2, ZrB2, VB2, NbB2) were synthesized in the laboratory scale using the related metal oxide, boron oxide, and magnesium by mechanochemical synthesis (MCS) and leaching processes under optimum conditions. Secondly, the synthesized and purified boride powders were mixed in equimolar ratios using a planetary ball mill for 72 h, and they were sintered at 2000 °C under 30 MPa via spark plasma sintering (SPS). Thirdly, equimolar high entropy (HfTiZrVNb)B2 bulks were crushed, converted into powder forms, and added into Al powders at different amounts as 1, 2, 5, 10, and 15 wt %. Lastly, these powder blends were mechanically alloyed in a vibratory ball mill for 6 h, cold pressed and pressureless sintered at 630 °C for 2 h. For characterization techniques, X-ray diffractometry (XRD), thermal analysis, scanning electron microscopy/energy dispersive spectrometry (SEM/EDS), density measurements using pycnometer and Archimedes' methods, microhardness and dry sliding wear tests were conducted on the sintered composites. The highest hardness (∼1.5 GPa) and the lowest wear rate (∼0.0012 mm3/Nm) were obtained in the Al-15 wt % (HfTiZrVNb)B2 sample. © 2024 Elsevier Ltd and Techna Group S.r.l.Article Citation - WoS: 1Citation - Scopus: 1Archaeometric Study of Roman Bricks and Cocciopesto Aggregates From the Ancient City of Nysa, Western Anatolia(Elsevier Ltd, 2024) Uğurlu Sağın, Elif; Böke, Hasan; Duran, Hasan Engin; 01. Izmir Institute of Technology; 02.01. Department of Conservation and Restoration of Cultural Heritage; 02.03. Department of City and Regional Planning; 02. Faculty of ArchitectureThe aim of this study is to identify the similarities and differences in the raw material properties and manufacturing processes of the building bricks and cocciopesto aggregates present in the lime mortars and plasters from the ancient city of Nysa. For this purpose, X-ray diffraction, Fourier transformed infrared spectroscopy, X-ray fluorescence spectroscopy, scanning electron microscopy coupled with energy dispersive spectroscopy, and thermogravimetric analysis were used to determine their pozzolanic activities, chemical and mineralogical compositions, and microstructural properties. The XRF results were evaluated to determine differences in the chemical composition of the building bricks and cocciopesto aggregates using empirical statistical analyses. Analyses included descriptive statistics, scatter plots, and hierarchical clustering. The bricks were only partially sintered and did not contain high temperature products such as mullite, indicating moderate firing temperatures (<900 °C). The cocciopesto aggregates used in the mortars exhibit good pozzolanicity, unlike the building bricks, mainly due to their higher content of amorphous products. This suggests that pozzolanic cocciopesto aggregates were intentionally produced for the purpose of obtaining hydraulic mortars. The significant statistical differences in major oxide and trace element compositions suggest that the use of raw materials with different chemical compositions in the production of bricks and aggregates. The results reveal that pozzolanic cocciopesto aggregates were intentionally manufactured differently to building bricks to create hydraulic lime mortars. © 2024 Elsevier LtdArticle Citation - WoS: 52Citation - Scopus: 57Optimizing Hydrogen Evolution Prediction: a Unified Approach Using Random Forests, Lightgbm, and Bagging Regressor Ensemble Model(Elsevier Ltd, 2024) Yüksel Özşen, Aslı; Orak, Ceren; Yüksel,A.; 01. Izmir Institute of Technology; 03.02. Department of Chemical Engineering; 03. Faculty of EngineeringHydrogen, as a clean and versatile energy carrier, plays a pivotal role in addressing global energy challenges and transitioning towards sustainable energy systems. This study explores the convergence of machine learning (ML) for photocatalytic hydrogen evolution from sucrose solution using perovskite-type catalysts, namely LaFeO3 (LFO) and graphene-supported LaFeO3 (GLFO). This study pioneers the practical application of ML techniques, including Random Forests, LightGBM, and Bagging Regressor, to predict hydrogen yields in the presence of these photocatalysts. LFO and GLFO underwent a thorough characterization study to validate their successful preparation. Noteworthy, the highest hydrogen yield from the sucrose model solution was achieved using GLFO as 3.52 mmol/gcat. The optimum reaction conditions were experimentally found to be pH = 5.25, 0.15 g/L of catalyst amount, and 7.5 mM of HPC (hydrogen peroxide concentration). A pivotal contribution of this research lies in the practical application of ML models, culminating in the development of an ensemble model. This collaborative approach not only achieved an overall R2 of 0.92 but also demonstrated exceptional precision, as reflected in remarkably low error metrics. The mean squared logarithmic error (MSLE) was 0.0032, and the mean absolute error (MAE) was 0.049, underscoring the effectiveness of integrating diverse ML algorithms. This study advances both the understanding of photocatalytic hydrogen evolution and the practical implementation of ML in predicting intricate chemical reactions. © 2024 Hydrogen Energy Publications LLCArticle Citation - WoS: 14Citation - Scopus: 15Ultrafast High-Temperature Sintering (uhs) of Wc and Wc-Containing Zrb2(Elsevier Ltd, 2024) Ahmetoğlu, Çekdar Vakıf; Karacasulu,L.; Vakifahmetoglu,C.; Sglavo,V.M.; Biesuz,M.; 01. Izmir Institute of Technology; 03.09. Department of Materials Science and Engineering; 03. Faculty of EngineeringWC and ZrB2 are refractory ceramics with excellent thermophysical properties and melting temperatures exceeding 2800°C. Both materials require the application of external pressure and long sintering times for their consolidation. In particular, commercially available ZrB2 powders are intrinsically difficult to sinter and usually need long pre-processing steps such as high-energy ball milling. Ultrafast high-temperature sintering (UHS) is a recently developed technique that enables the consolidation of bulk ceramics within minutes. In the present work, pure WC was efficiently densified to above 98% in just 3 min by UHS. Moreover, small WC additions enhanced ZrB2 densification by activating liquid phase sintering. Samples containing 5 and 10 vol% WC were sintered to 95 and 96%, respectively, in 2 min. All the WC initially present in the blend reacts to form a liquid phase during sintering and solidifies as WB and (Zr,W)C upon cooling. The formation of a ZrB2-(Zr,W)B2 core-shell structure was detected in all the sintered composites. The hardness of UHS samples reaches 15 GPa (WC - ZrB2 composites) and 21 GPa (pure WC), similar to that measured in materials obtained by slower and more sophisticated pressure-assisted sintering techniques. © 2024 The AuthorsArticle Citation - WoS: 1Citation - Scopus: 5Exploring Student Information Management System Adoption Post Pandemic: Case of Turkish Higher Education(Elsevier Ltd, 2024) Daim,T.; Başoğlu, Ahmet Nuri; Ozdemir Gungor,D.; Basoglu,N.; Yarga,A.; VanDerSchaaf,H.; 02.04. Department of Industrial Design; 02. Faculty of Architecture; 01. Izmir Institute of TechnologyMany aspects of our lives have changed during the pandemic including the accelerated adoption of technologies. Education was one of the segments that was disrupted by the pandemic, therefore Student Information Systems became critical at that time. This paper explores the adoption of Student Information Management Systems in multiple Turkish universities. The research model was adopted from a study conducted in the US, which is based on the Unified Theory of Acceptance and Use of Technology. More than three hundred students from seventeen universities responded, and the results indicated key factors of adoption. Furthermore, differences with the case in the US were identified. © 2024 Elsevier Ltd
- «
- 1 (current)
- 2
- 3
- »