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Optimizing Parking Lot Management with Mobile Energy Suppliers for Electric Vehicles
No full textAs the increment of electric vehicles (EVs) continues, efficient parking lot management emerges as a critical concern. The constraints of traditional fixed charging stations can be mitigated by leveraging the flexibility provided by mobile energy suppliers (MES). This study explores the application of MES in public parking lots to optimize energy consumption. By integrating photovoltaic (PV) resources with grid connectivity, the dependence on grid-supplied energy is significantly reduced. A mixed-integer linear programming (MILP) optimization model has been developed to minimize energy costs. The results confirm that MES offers a dynamic and cost-effective solution, improving both parking management and energy efficiency. The economic and operational effectiveness of the proposed framework is supported by practical implementation.</p
On the 3-parameter generalized quaternions with generalized tribonacci numbers components
No full textIn this paper, we aim to combine 3-parameter generalized quaternions (shortly 3PGQs), which are a general form of the quaternion algebra according to 3-parameters, and generalized Tribonacci number (shortly GTNs), which are also quite a big special number family for third-order recurrence sequences and most general form of all of the third-order recurrence sequences. Namely, we investigate a special new number system called 3-parameter generalized quaternions with generalized Tribonacci numbers components (shortly 3PGQs with GTN components) with both nonnegative and negative subscripts and examine some special cases of them. Then, we construct a Maple code of this special number family. Moreover, we obtain some new and classical well-known equations such as; Binet formulas, generating function, exponential generating function, Poisson generating function, summation formulas, polar representation, and matrix equation. In addition to these, we give also determinant, characteristic polynomial, characteristic equation, eigenvalues, and eigenvectors concerning the matrix representation of 3PGQs with GTN components
Computational approaches to space planning: A systematic review of enhancing architectural layouts
No full textIn architectural design, a well-structured and adaptable approach is fundamental to creating functional and cohesive spaces, providing a foundational framework for spatial organization. As design requirements grow increasingly complex, traditional methods often fall short of addressing multifaceted design needs, such as user preferences, environmental considerations, and geometric constraints. Computational design techniques offer advanced methods to automate and refine architectural space planning. Despite significant advancements in computational software and data processing capabilities, challenges remain in practically embedding diverse design criteria. This study systematically reviews computational methods for architectural spatial design from 2013 to 2023, analyzing methodologies, typological applications, user preferences, and advancements in environmental data integration. The findings highlight a shift from rule-based to data-driven approaches, emphasizing the development of scalable and intuitive tools. This research identifies pathways for adopting computational design in architectural practice and education, underlining the critical role of user-centered adaptability and environmental responsiveness in shaping future tools
Covid-19 Salgınında Risk Algısı Bağlamında Seyahat Amacı ve Kentsel Ulaştırma Tür Tercihi Sebebi İlişkisi: Tekirdağ, Süleymanpaşa Örneği
No full textCovid-19 salgını döneminde kentiçi ulaştırma sistemi kullanıcılarının tür seçim davranışlarında çeşitli değişimler gözlenmiştir. Bu çalışma kapsamında kentlilerin ulaşım türü seçimine yansıyan bakışaçıları, Covid-19 salgın dönemi ve bu dönemin şartları çerçevesinde anket yöntemi ile değerlendirilmiştir. Katılımcılardan öncelikle salgın öncesi, salgın ve salgın sonrası normalleşme dönemlerinegöre seyahat amaçları, kullandıkları ulaşım türü ve tercih sebepleri bilgisi alınmış, ardından ulaşımtürlerine Covid-19 Enfeksiyon Riski Puanı (CERP) vererek değerlendirmeleri istenmiştir. Literatürde söz konusu veriler daha çok kurumsal kaynaklara dayandırılırken, bu çalışmada veriler doğrudan kent sakinlerinden anket yoluyla toplanarak bireysel davranışları belirlenmeye çalışılmıştır. Ayrıca toplu taşıma kullanım sayılarının azaldığı bir gerçek olarak literatürde yer alırken bu çalışma ilebu azalmanın ardındaki nedenler araştırılarak orijinal bir katkı sunulması hedeflenmiştir. Bu makaleçerçevesinde betimleyici istatistik verilerine de yer verilmiştir. Çalışma sonucunda, salgının farklıdönemlerinde ulaşım türleri tercihinde kent sakinlerinin önceliklerinin farklı olduğu ve belirli ulaşımtürlerinin enfeksiyon riskinin oldukça yüksek olarak algılandığı tespit edilmiştir.Anahtar Kelimeler: Covid-19, Seyahat Amacı, Ulaştırma Tür Seçimi, Covid-19 Enfeksiyon RiskiPuanı, Tekirdağ.During the Covid-19 pandemic, significant changes were observed in urban transportation modechoice behavior. This study evaluates urban residents' perspectives on transportation mode selectionusing a survey method within the context of the pandemic and its conditions. Participants were askedabout their trip purposes, preferred transportationmodes, and reasons for their choices before, during,and after the pandemic. Additionally, they were requested to assess transportation modes by assigning a Covid-19 Infection Risk Score (CERP). While similar data in the literature are often based oninstitutional sources, this study directly collects data from urban residents through surveys to analyze individual behaviors. It is well-documented that public transportation usage has declined; however, this study aims to explore the underlying reasons for this decline, offering an original contribution. Descriptive statistical data are also included. The findings indicate that urban residents' priorities in transportation mode choices varied across different phases of the pandemic. Moreover, certaintransportation modes were perceived as having a significantly higher infection risk.Keywords: Covid-19, Trip Purpose, Transportation Mode Choice, Covid-19 Infection Risk Score,Tekirdağ</p
Exploring Teachers’ Professional Development on Socioscientific Issues and Model-Based Learning: A Multiple Case Study
No full textThis study proposes a three-phase professional development (PD) program for middle school science teachers and aims to investigate their engagement with the Socioscientific Issue and Model-Based Learning (SIMBL) framework. It follows a multiple-case study design, and the main data sources of the study are semi-structured interviews, while the secondary data sources include developed SIMBL units, field notes of the PD program, classroom observations of the lessons, and unstructured phone calls/messages. The semi-structured interviews comprise pre- and post-PD program interviews as well as post-implementation interviews. Employing the Interconnected Model of Professional Growth framework for data analysis, teachers are categorized into three distinct groups: proactive, collaborative, and teacher-led. Findings highlight how teacher beliefs and prior experiences shape their ability to integrate SIMBL into classroom practices. The study emphasizes the critical role of sustained PD, reflective practices, and alignment with teacher beliefs in facilitating the effective implementation of innovative teaching frameworks. Ultimately, the SIMBL framework was found to enhance student engagement with socioscientific issues by fostering critical thinking, systems-based reasoning, and media literacy, contributing to science education
Machine learning application with Bayesian regularization for predicting pressure drop in R134a's annular evaporation and condensation
No full textAn Automatized Deep Segmentation and Classification Model for Lumbar Disk Degeneration and Clarification of Its Impact on Clinical Decisions
No full textStudy Design: Cross-sectional database study Objective: The purpose of this study was to develop a successful, reproducible, and reliable convolutional neural network (CNN) model capable of segmentation and classification for grading intervertebral disc degeneration (IVDD), as well as quantify the network's impact on doctors' clinical decision-making. Methods: 5685 discs from 1137 patients were graded separately by four experienced doctors according to the Pfirrmann classification. A ground truth (GT) was established for each disc in accordance with the decision of the majority of doctors. The U-net model is used for segmentation. 1815 discs from 363 patients were used to train and test the U-net. The Inception V3 model is employed for classification. All discs were separated into two distinct sets: 90% in a training set and 10% in a test set. The performance metrics of these models were measured. Reliability tests were performed. The impact of CNN assistance on doctors was assessed. Results: Segmentation accuracy was.9597 with a.8717 Jaccard Index and a.9314 Sorensen Dice coefficient. Classification accuracy is.9346, and the F1 score is.9355. The intraclass correlation coefficient (ICC) and kappa values between CNN and GT were.95-.97. With CNN's assistance, the success rates of doctors increased by 7.9% to 22%. Conclusions: The fully automated network outperformed doctors markedly in terms of accuracy and reliability. The results of CNN were comparable to those of other recent studies in the literature. It was determined that CNN’s assistance had a substantial positive effect on the doctor’s decision
Orbital motion and QPOs testing around rotating Hairy black holes in Horndeski gravity
No full textWe investigate the orbital and oscillatory motion of test particles around a rotating hairy black hole in the context of Horndeski gravity. This black hole consists of three parameters, namely, the mass M of the black hole, spin parameter a of the black hole, and the hairy parameter q that results from the Horndeski theory of gravity. Analytical solutions are obtained for the radial profiles of specific energy and angular momentum corresponding to equatorial stable circular orbits, in terms of the model parameters. Using the effective potential method, we also examine the stability of these orbits. Additionally, we derive the analytical expressions for frequencies of radial and latitudinal harmonic oscillations, as a function of the black hole's mass, charge, and spin of the black hole, for both local and distant observers. The key characteristics of quasi-periodic oscillations near stable circular orbits in the equatorial plane are explored. Furthermore, we analyze the precession of periastron and the Lense-Thirring effect. Our findings reveal that the particle motion around the black hole is significantly shaped by the parameters of the model
