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Mekân Tasarımcılarının Renovasyon Projelerinde Genişletilmiş Gerçeklik Teknolojileri Kullanımının Araştırılması
No full textBu araştırma, genişletilmiş gerçeklik teknolojilerinin mekân tasarımı pratiğinin kullanım alanları arasındaki uygulama alanlarında potansiyelini bulmak üzere yürütülmüştür. Mekân tasarımcılarının yeni teknolojik yaklaşımlara tutumu ve mekân analizlerinde kullanım pratiğinin ölçüldüğü araştırma safhasında veri toplama ve analiz yöntemleri incelenmiştir. Nitel araştırma yöntemlerinden durum çalışması desene ile anket, gözlem ve görüşmelerden yararlanılmıştır. Araştırma bulgularına göre kullanıcıların uygulama sayesinde, mekân tasarımı süreçlerindeki belirsizliklerin azalabileceği ve yapı uygulamalarındaki karmaşıklığın dijital yapı bilgisinin genişletilmiş gerçeklik araçlarıyla etkili kullanılabileceği gözlemlenmiştir. Elde edilen sonuçlar doğrultusunda araştırmanın; genişletilmiş gerçeklik teknolojisinin bu alanda özgün bir mekân katmanlarını analiz etme aracı olabilme potansiyeli konusunda daha sonraki araştırmalar için bir veri kaynağı olması hedeflenmiştir.This research was conducted to find out the potential of extended reality technologies in the application areas between the fields of spatial design practice. Data collection and analysis areas methods were examined in the research phase in which the attitude of space designers to new technological approaches and the practice of use in space analysis were measured. In this study, which was carried out with a case study design from qualitative research methods, questionnaries, observations and interviews were used as data collection tools. According to the research findings, it has been observed that the users can reduce the uncertainties in the space design processes and the comlexity of the building applications can be used effectively with the extended reailty tools of the digital building information. In line with the results obtained, the research is aimed to be a data source for furher research on the potantial of augmented reailty technology to be a unique tool for analyzing the layers of space in this field
EGCG Alleviates Ochratoxin A-Induced Pyroptosis in Rat's Kidney by Inhibiting Nlrp3/Caspase-1 Signaling Pathway
No full textOchratoxin A (OTA) exposure is inevitable due to its contamination in foods, and there is no treatment for the OTA induced organ toxicity. We evaluate the effect of epigallocatechin gallate (EGCG) on the nephrotoxicity caused by OTA, and to reveal the relationship of this effect with the NLRP3/Caspase-1/GSDMD pathway dependent pyroptosis. 40 male Wistar albino rats divided into 5 groups (n = 8, per group) 0.5 mg/kg/day OTA were administered to the rats and 50 mg/kg and 100 mg/kg EGCG were administered to the groups by gavage orally for 14 days. Serum urea and creatinine levels increased significantly with OTA exposure. Similarly, it was determined that significant changes in oxidative stress parameters with OTA exposure in kidney tissue. Also, there was a significant increase in kidney tissue TGF-β, NF-κB, IL-1β, IL-18, NLRP3, Caspase-1 and GSDMD mRNA expressions with OTA exposure. EGCG administration augmented a dose-dependent decrease in the aforementioned parameters. NLRP3/Caspase-1/GSDMD pathway is induced in the kidneys due to OTA exposure were shown with this study. Potent antioxidant EGCG could alleviate the pathways specified with this study in OTA nephrotoxicity and its supplementation may be effective strategies for the protection. © 2024 Elsevier Lt
Technoeconomic Analysis of Oxygen-Supported Combined Systems for Recovering Waste Heat in an Iron-Steel Facility
No full textIn this study, it is proposed to generate electrical energy by recovering the waste heat of an annealing furnace (AF) in an iron and steel plant using combined cycles such as steam Rankine cycle (SRC), organic Rankine cycle (ORC), Kalina cycle (KC) and transcritical CO2 cycle (t-CO2). Instead of releasing the waste heat into the atmosphere, the waste heat recovery system (WHRS) discharges the waste heat into the plant’s low-temperature oxygen line for the first time, achieving a lower temperature and pressure in the condenser than conventional systems. The waste heat of the flue gas (FG) with a temperature of 1093.15 K from the reheat furnace was evaluated using four different cycles. To maximize power generation, the SRC input temperature of the proposed system was studied parametrically. The cycles were analyzed based on thermal efficiency and net output power. The difference in SRC inlet temperature is 221.6 K for maximum power output. The proposed system currently has a thermal efficiency and total power output of 0.19 and 596.6 kW, respectively. As an environmental impact, an emission reduction potential of 23.16 tons/day was achieved. In addition, the minimum power generation cost of the proposed system is $0.1972 per kWh. © 2024 by the authors
Investigating the Stable Structures and Topological Insulator Characteristics of Honeycomb Aute Monolayer Through Decorating With Alkali Metal Atoms, as Well as the Effects of Strain and Layering: a First-Principle Study
No full textIn this study, first-principles calculations are used to systematically study the structural, mechanical, and optical properties of the honeycomb AuTe monolayer, as well as the influence of layered structures on their stability and electronic properties. Additionally, the effect of alkali metal atoms decorating AuTe-X (X = Li, Na, K) and related structural, electronic, optical, and topological insulator properties, along with the biaxial strain on the lithium-decorated AuTe-Li monolayer are investigated. The AuTe monolayer shows metallic characteristics, and when alkali metal atoms are decorated onto it, the resulting structures remain dynamically stable. Notably, the introduction of Li, Na, and K atoms induces bandgap opening in the decorated Li and Na monolayers near the Fermi level, causing metal-to-narrow bandgap semiconductor and Dirac semi-metal transitions. Conversely, the metallic nature of the decorated AuTe-K monolayer is retained. The emergence of a bandgap near the Fermi level, caused by alkali metal decoration, triggers a topological phase transition in AuTe-Li, AuTe-Na, and AuTe-K monolayers. Optical analyses reveal that AuTe-K decorated structure enhances light absorption in the visible spectrum. Consequently, the findings provide insights into the decoration of these two-dimensional material monolayers, potentially advancing research and motivating the production of such monolayers for current nanodevice applications. © 2024 Wiley-VCH GmbH
Deep Reinforcement Learning Based Resource Allocation for Electric Vehicle Charging Stations With Priority Service
No full textThe demand for public fast charging stations is increasing with the number of electric vehicles on roads. The charging queues and waiting times get longer, especially during the winter season and on holidays. Priority based service at charging stations can provide shorter delay times to vehicles willing to pay more and lower charging prices for vehicles accepting to wait more. Existing studies use classical feedback control and simulation based control methods to maintain the ratio of high and low priority vehicles' delay times at the station's target level. Reinforcement learning has been used successfully for real time control in environments with uncertainties. This study proposes a deep Q-Learning based real time resource allocation model for priority service in fast charging stations (DRL-EXP). Results show that the deep learning approach enables DRL-EXP to provide amore stable and faster response than the existing models. DRL-EXP is also applicable to other priority based service systems that act under uncertainties and require real time control
E-Shopping Sites Preference Analysis With Multi-Criteria Decision-Making Methods
No full text2nd International Conference on Science, Engineering Management and Information Technology, SEMIT 2023 -- 14 September 2023 through 15 September 2023 -- Ankara -- 318919In light of advancing technology, the prevalence of internet usage has significantly increased. Presently, individuals inclined to optimize their time gravitate towards e-commerce platforms. This research focuses on evaluating the five most popular e-shopping sites in Turkey, namely Trendyol, Hepsiburada, Amazon, Getir, and Morhipo. Seven criteria were employed for the assessment: site design, product variety, reliability, detailed filtering, service quality, ease of site use, and price. The study utilized the Multi- Criteria Decision Making (MCDM) methods, specifically MOOSRA, MOORA, and TOPSIS, and compared their outcomes. The Pairwise Comparison method was employed to determine criterion weights. The findings revealed that price emerged as the most pivotal criterion, whereas site design held the least significance. Application of MOOSRA, MOORA, and TOPSIS consistently ranked Trendyol as the top-performing e-shopping site. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024
Pilot Length Optimization With Rs-Ls Channel Estimation for Extremely Large Aperture Arrays
No full text25th IEEE Wireless Communications and Networking Conference, WCNC 2024 -- 21 April 2024 through 24 April 2024 -- Dubai -- 200793Extremely large aperture arrays can enable unprecedented spatial multiplexing in beyond 5G systems due to their extremely narrow beamfocusing capabilities. However, acquiring the spatial correlation matrix to enable efficient channel estimation is a complex task due to the vast number of antenna dimensions. Recently, a new estimation method called the 'reduced-subspace least squares (RS-LS) estimator' has been proposed for densely packed arrays. This method relies solely on the geometry of the array to limit the estimation resources. In this paper, we address a gap in the existing literature by deriving the average spectral efficiency for a certain distribution of user equipments (UEs) and a lower bound on it when using the RS-LS estimator. This bound is determined by the channel gain and the statistics of the normalized spatial correlation matrices of potential UEs but, importantly, does not require knowledge of a specific UE's spatial correlation matrix. We establish that there exists a pilot length that maximizes this expression. Additionally, we derive an approximate expression for the optimal pilot length under low signal-to-noise ratio (SNR) conditions. Simulation results validate the tightness of the derived lower bound and the effectiveness of using the optimized pilot length. © 2024 IEEE.ASELSAN Inc.; Stiftelsen för Strategisk Forskning, SSF; Scientific and Technological Research Council of Türkiye, (FFL18-0277
Distributed Strain Sensing by Frequency-Selective Fading in Phase-Otdr
No full textAmerican Elements; American Physical Society, Division of Laser Science; et al.; IEEE Photonics Society; IPG Photonics; LIGENTECWe demonstrate a novel approach using frequency-selective fading in phase-OTDR systems to measure dynamic strain on a fiber optic cable. We present the measurements of 200 Hz, 0.03 με strain at 2 kHz interrogation frequency. CLEO 2024 © Optica Publishing Group 2024 © 2024 The Author(s