Scopus

Permanent URI for this collectionhttps://ada.atilim.edu.tr/handle/123456789/19

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Citation - Scopus: 0
Clinical Development of Quinone-Based Drugs
(Elsevier, 2024) Altuner, E.E.; Issa, G.; Ozalp, V.C.; Aldemir, O.; Torlak, Y.; Dar, U.A.
This chapter provides a detailed explanation of the clinical investigations, pharmacological effects, and characteristics of quinone and quinone derivatives, along with references to pertinent sources. Although quinones have an oxygen group in their structure, they are quickly oxidized and interact with reactive oxygen species. This demonstrates how quinones work as drugs. Quinones and their derivatives are used as medications to treat a wide range of diseases, including cancer, lung, kidney, brain, and tumor disorders. Each of the following has effects on a different area of health; lapochols, anthraquinones, naphthoquinone and its derivatives, and other wide range of quinone derivatives are thoroughly explored in this chapter. © 2025 Elsevier Inc. All rights reserved.
Citation - Scopus: 0
Comparative Analysis Of Patch Antennas With Rectangular Slots For Laminate And Wearable Materials At 5g Networks
(Institute of Electrical and Electronics Engineers Inc., 2024) Hakanoglu, B.G.; Agaya, E.; Gulmez, G.; Yalinsu, S.
In this study, new multi-band patch antenna design models are proposed for use in 5G networks. The purpose of the designs is to open rectangular slots on rectangular shaped patch antennas and bring them to the desired operating conditions with parametric analyzes. The designs were carried out by following the same procedure steps using five different dielectric laminate substrate materials, such as RO3003, RT6006, FR4, RO3203, RO6010, and one denim fabric base material. The antennas were compared in terms of return loss, gain and radiation characteristics. Except for the antenna designed with RO3203 at certain values of rectangular slots, radiation at multiple frequencies was obtained at 5G frequencies. With the proposed method, improvement was observed for return loss and bandwidth characteristics in the RO3203 based antenna. This study will be a resource for antenna researchers by revealing the responses of different substrate materials to the same design method for 5G bands in patch antennas. © 2024 IEEE.
A Comparison of Stream Processing Frameworks
(Institute of Electrical and Electronics Engineers Inc., 2017) Karakaya,Z.; Yazici,A.; Alayyoub,M.; Software Engineering; Computer Engineering
This study compares the performance of Big Data Stream Processing frameworks including Apache Spark, Flink, and Storm. Also, it measures the resource usage and performance scalability of the frameworks against a varying number of cluster sizes. It has been observed that, Flink outperforms both Spark and Storm under equal constraints. However, Spark can be optimized to provide the higher throughput than Flink with the cost of higher latency. © 2017 IEEE.
Citation - Scopus: 1
A computer-controlled triaxial swelling test apparatus
(2004) Bilir,M.E.; Müftüoǧlu,Y.V.; Sari,D.
To avoid the problems encountered during and after the construction of engineering structures built within swelling rocks or soils, data related to swelling stresses and strains should be used in the design stage. For an effective design, it is important that the data used for this purpose should be derived from triaxial swelling tests. In this article, a re-designed and computer-controlled triaxial swelling test apparatus is introduced. Due to the limited amount of test equipment, the work associated with triaxial swelling tests has been rather limited and consequently a test standard has not been developed yet. The computer-controlled triaxial swelling test apparatus has made tedious swelling tests easier and thus it has provided better possibilities for the investigation of the triaxial swelling behavior of soils and rocks.
Citation - Scopus: 19
Creep and shrinkage behavior of high-strength concrete and minimum reinforcement ratio for bridge columns
(Precast/Prestressed Concrete Institute, 2010) Mertol,H.C.; Rizkalla,S.; Zia,P.; Mirmiran,A.; Civil Engineering
This paper summarizes the findings of an extensive research program that examined the shrinkage and creep behavior of high-strength concrete (HSC) up to a strength of 18 ksi (124 MPa). Creep and shrinkage strains of 60 specimens were monitored for up to two years. The variables considered in this investigation were the concrete compressive strength, specimen size, curing type, age of concrete at loading, and loading stress level. Research findings indicate that the current American Association of State Highway and Transportation Officials' AASHTO LRFD Bridge Design Specifications could be used to estimate the creep coefficient and shrinkage strain of HSC up to 15 ksi (103 MPa). However, the current AASHTO LRFD specifications do not provide appropriate predictions for concrete compressive strength greater than 15 ksi (103 MPa). A revised time-development correction factor is proposed to obtain better predictions for HSC up to 18 ksi (124 MPa). For HSC compression members, the current AASHTO LRFD specifications require an excessive amount of minimum longitudinal reinforcement to account for the long-term effects due to shrinkage and creep. Based on an analysis, a new relationship is proposed for the required minimum reinforcement ratio.
Citation - Scopus: 1
Development of a low cost radio controller for Tele operation systems: Crane controller design as an industry sponsored undergraduate research
(2013) Kaynaköz,G.; Daǧdeviren,B.; Kapusuz,K.Y.; Kara,A.; Department of Electrical & Electronics Engineering
This study presents some of the design and development stages of a radio control system for dense interference environments. All design and development stages were conducted by undergraduate students, with an undergraduate research project sponsored by a local company. The study starts with an overview of the system including choice of main components and modules. Then, it discusses the design stages of the system from analog to digital conversion to driving circuit of the targeted mechanical system (crane), and provides some preliminary results and conclusions. One of the design criteria in the project was minimization of the cost and size, and the preliminary results have shown that the prototype could compete with many commercial equivalents.
Citation - Scopus: 0
Development of a single degree of freedom inertial measurement system
(2013) Kara,S.E.; Golmohammedzadeh,H.; Arikan,K.B.; Department of Mechatronics Engineering
A test bench is designed to develop an inertial measurement unit. Micro electromechanical system (MEMS) type gyro and accelerometer sensors are placed on a rotating platform. Actual angular position is measured by an encoder. This paper presents design of various estimators to estimate the orientation of the test platform. Basically complementary and Kalman filter based estimators are designed and implemented on the test bench. Parameters of the estimators are optimized by using experimental data. Satisfactory results are achieved.
Citation - Scopus: 0
ELECTROCHEMICAL HYDROGEN SEPARATION FROM REFORMATE USING POLYBENZIMIDAZOLE/MOF COMPOSITE MEMBRANES
(International Association for Hydrogen Energy, IAHE, 2022) Durmuş,G.N.B.; Eren,E.O.; Devrim,Y.; Ozgur Colpan,C.; Özkan,N.; Mechanical Engineering; Energy Systems Engineering
This study introduces the experimental results of a high-temperature electrochemical hydrogen purification (ECHP) cell through poly 2.2-m-phenylene-5.5-bibenzimidazole/metal organic framework (PBI/MOF) composite membranes in the temperature range of 140°C-180°C. Synthesis of ZIF-8 and UiO-66 MOFs was conducted through a typical solvothermal method, and composite membranes containing 2.5 wt. %. MOF was fabricated. Experiments were conducted with pure hydrogen (H2) and reformate gas mixtures containing H2, carbon monoxide (CO), and carbon dioxide (CO2). A gas chromatography device (GC) was used to analyze the gas composition at the exit of the ECHP cell. The final output H2 purity was found to be >99.9 % for the H2/CO2/CO mixed-phase and >99.7% for the H2/CO mixed phase. © 2022 Proceedings of WHEC 2022 - 23rd World Hydrogen Energy Conference: Bridging Continents by H2. All rights reserved.
Citation - Scopus: 0
Examination Of The Relationship Between Money Laundering And Tax Crimes Based On Financial Action Task Force (fatf) Standards: A Stocktaking For Türkiye
(Sosyoekonomi Society, 2025) Bülbül, D.; Güler, K.
Money laundering and tax crimes are financial crimes that have considerable costs to society, and there are notable interconnections between them. This study aims to examine the contribution of the measures introduced against money laundering by the Financial Action Task Force (FATF) to tax compliance and combating tax crimes and to evaluate the situation in Türkiye. The conceptual framework regarding these crimes and the connections between them are established in this context. The effects of the measures introduced against money laundering on tax compliance and crimes based on FATF standards are investigated. Finally, the situation in Türkiye is examined and analysed. The study shows that customer identification and reporting of suspicious transactions can contribute significantly to identifying taxpayers, transactions, and income that should be taxed and detecting tax evasion. Still, this potential is not sufficiently utilised in our country. © 2025, Sosyoekonomi Society. All rights reserved.
Citation - Scopus: 0
Factors Affecting Entrepreneurial Activity in an Emerging Economy in the Case of Turkey: the Role of the Covid-19 Pandemic
(Academic Conferences and Publishing International Limited, 2024) Usul, N.; Karadeniz, E.; Özdemir, Ö.
This paper seeks to study factors influencing the early stages of entrepreneurship within the context of coronavirus pandemic, specifically within an emerging country. We utilize from a unique dataset collected by Global Entrepreneurship Monitor which is the sole global research repository compiling data on entrepreneurial activities and individual entrepreneurial attributes across 50 countries worldwide. In particular, this study focuses on the GEM survey data pertaining to Turkey during the period coinciding with the COVID-19 pandemic in the year 2021. The analysis is done by binary logistic regression with dependent variable being total entrepreneurship activity. Findings indicate that opportunity-driven respondents, with high-status aspirations, possessing necessary skills and acknowledging the challenges of their entrepreneurial environment, are the ones who show a higher probability of engaging in entrepreneurial activities. While these variables have been scrutinized in existing literature, our contribution lies in examining their effects within an emerging market, a relatively understudied context, particularly in the aftermath of a global pandemic. Results suggest that the individuals reporting a substantial increase in income during the pandemic, and perceiving a harder business environment to start a new venture show elevated probabilities of becoming an entrepreneur. These two are the pandemic-related variables demonstrating statistical significance, which highlights the fact that this period created its entrepreneurs, who exploit high resilience and dynamic capacity to adapt to crisis times. They experienced a significant increase in their income, capitalized on their comparative advantage in entrepreneurial skills within an environment where starting a business is not easy and took advantage of the opportunities seeking for high status using their adaptive capacity. These findings are consistent with Theories of Resilience and Dynamic Capabilities. Finally, younger respondents are more inclined to engage in entrepreneurial activity, which is consistent with the existing literature. In light of these findings, policymakers are encouraged to invest in educational programs for potential entrepreneurs to enhance their self-efficacy, given that the necessary skills for business initiation emerge as a pivotal factor for engaging in entrepreneurial activities. Moreover, creating platforms for successful entrepreneurs to share their experiences could amplify the perceived prestige associated with entrepreneurship, which may attract potential entrepreneurs. © 2024 Academic Conferences and Publishing International Limited. All rights reserved.
Citation - Scopus: 0
A Feminist Reading of Rupi Kaur's Milk and Honey
(Peter Lang Publishing Group, 2024) Serdaroğlu, D.; Department of English Language and Literature
Considered to be a fourth wave of feminist, Rupi Kaur deals with the problems of women, such as sexual discrimination, misogynism, violence and commodification of the female body. Despite the harsh criticism targeting her minimalist and simple writing style embellished with her own illustrations, Kaur makes her voice heard throughout the world via the Internet- especially the social media- by sharing her poems on the Instagram. The poet divided her milk and honey (2014), into four parts; in each of the four parts which symbolizes a different stage of a woman's life replete with fears, challenges, struggles and hopes, she not only talks about the sufferings of women and female empowerment but also with her illustrations, she attracts many readers visually. Hence, this chapter analyses Rupi Kaur's milk and honey from a feminist perspective by focusing on victimization and commodification of women as well as women empowerment with regard to her non- traditional writing style. © 2023 Peter Lang Group AG, Lausanne. Published by Peter Lang GmbH, Berlin, Deutschland. All rights reserved.
Citation - Scopus: 0
Going Green: Adoption of Green Supply Chain Management Practices for Sustainable Development
(IGI Global, 2025) Erkan, T.E.; Barre, A.S.
Organizations are assessed for both their economic and sustainable development when it comes to their sustainable performance more so in the dynamic global supply chain management. There has been growing concern over the sustainability of the planet and corporate stakeholders are becoming more aware of the rising environmental concerns. A key strategy for global organizations in supply chain management for environmental awareness is the implementation of a green supply chain (GSC). Going green and the complete adoption of Green Supply chain is the pathway to global environmental solutions and a contributor to the achievement of sustainable development goals. This paper seeks to assess the impact of implementing GSC management practices on sustainable development. The study will reply on secondary data from available literature on the theme of green supply chain management and sustainable development. Data will be analysed using both quantitative and qualitative analysis techniques. © 2025, IGI Global Scientific Publishing. All rights reserved.
Citation - Scopus: 0
A Lithium-Ion Battery Fast Charging Algorithm Based on Electrochemical Model: Experimental Results
(American Society of Mechanical Engineers (ASME), 2024) Anwar, S.; Pramanik, S.; Amini, A.
Lithium-Ion batteries have become the principal battery technology for EVs to date. However, one of the principal factors limiting the widespread usage of the EVs is the length of charging times for the lithium-ion battery packs. The appropriate charging algorithm is critical to shorten the battery charging times while keeping the battery safe. In our earlier work, we proposed a novel optimal strategy for charging the lithium-ion battery based on electrochemical battery model using A performance index that aimed at achieving a faster charging rate while maintaining safe limits for various battery parameters. A more realistic model, based on battery electro-chemistry has been used for the design of the optimal charging algorithm as opposed to the conventional equivalent circuit models. Simulation results showed that the proposed optimal charging algorithm is capable of shortening the charging time of a lithium-ion cell by as much as 30% when compared with the standard constant current charging. Here we present the results from a number of experiments using Lithium-Ion cylindrical cells that were charged using the proposed algorithm and compared the charging times with the standard constant current-constant voltage (CC-CV) charging algorithms. A Maccor Series 4300 battery testing system was used to carry out the experiments. The experimental results showed that the proposed algorithm offered shorter charging times by up to 16% when compared to the CC-CV charging algorithms under the same battery initial conditions such as SOC and temperature of the cells. Copyright © 2024 by ASME.
Citation - Scopus: 0
Live Like Cockroaches: a Homeless Immigrant's Struggle Leading To Stereotypification
(Peter Lang Publishing Group, 2024) Turgut, Z.R.; Department of English Language and Literature
The use of cockroaches as a metaphor to describe the conditions of immigrants in immigrant literature is a problematic and controversial topic. It is a form of dehumanization that reduces individuals to pests or insects and constitution of demeaning stereotypes and xenophobia. The use of this metaphor can be traced back to colonial and racist attitudes towards non-white, non-Western individuals who were often depicted as primitive, dirty, and inhuman. This view which was used to justify colonialism and segregation is still prevailing in contemporary society through media and cultural representations. In Rawi Hage's novel Cockroach (2008), the use of the cockroach as a metaphor is a central theme throughout the book. The novel tells the story of an unnamed Lebanese immigrant who is struggling to make a new life in Montreal, Canada. The protagonist sees himself as a cockroach, a resilient survivor that can adapt to any environment and cope with any hardship. The cockroach metaphor in this novel might be interpreted in several ways. On the one hand, it can be seen as an indicator of the protagonist's resilience and ability to survive in a hostile and challenging environment. Since the cockroach is known for its ability to survive in harsh conditions, the protagonist sees himself as embodying these traits. On the other hand, the use of the cockroach as a metaphor might also be seen as the representation of the maltreatment of immigrants in Western societies. The protagonist is often marginalized and discriminated, and his identification with the cockroach can be seen as a way of highlighting the way that immigrants are often seen as pests or insects by mainstream society. Thus, the aim of this chapter is to examine Rawi Hage's novel Cockroach in order to reveal the struggles of immigrants in a new country who try to survive although they face many problems, including isolation, discrimination, poverty, and cultural exclusion. © 2023 Peter Lang Group AG, Lausanne. Published by Peter Lang GmbH, Berlin, Deutschland. All rights reserved.
Citation - WoS: 0
Citation - Scopus: 0
Lyapunov-Based Controller Design for Precise Monitoring, Speed Control and Trajectory Planning in Autonomous Tractors With Trailers
(Ieee, 2024) Aydin, Gulsah Demirhan; Dogan, Deren; Turken, Yusuf Tugberk; Mechatronics Engineering
Nowadays, modern technology-based agriculture operations are replacing traditional farming practices. Smart agricultural systems have gained popularity as a result of the demand for more productive and environmentally friendly farming methods. Consequently, the agricultural sector continues to be one of the driving forces behind automation, viewing technological advancements as a means of increasing productivity while lowering costs. Automation in agriculture ranges from tractors built with apparatus that can carry out complicated tasks on their own to cultivation surveillance. This study aims to optimize the speed of an autonomous tractor through a dynamic code based on Lyapunov control method as an innovative approach in smart agriculture. Beyond speed optimization, the research also addresses practical challenges encountered in real-world scenarios, including obstacles such as living entities. By evaluating the potential of Lyapunov control methodology in the effective management of agricultural machinery, this work offers an innovative perspective on smart agricultural technologies.
Citation - Scopus: 0
Multi-Label Movie Genre Detection From Movie Posters Using Deep Learning Algorithms
(Institute of Electrical and Electronics Engineers Inc., 2024) Yılmaz, A.A.
In the field of cinema, the concept of genre has emerged as a concept that basically includes films that have common characteristics in terms of subject matter, have adopted a common method, and have a low risk of error because they have been tried before. Identifying the genres of movies is a challenging task because genres are intangible features that are not physically present in any movie scene, so off-the-shelf image detection models may not be easily integrated into this process. In this study, we aim to address the detection of movies according to their genres using deep learning algorithms. Movie poster data of IMDB and MM-IMDB datasets were utilized in our multi-label movie genre detection studies. In our experiments, we utilized four modern pre-trained models follow as DenseNet, VGG-16, ResNet-50, and MobileNet, and evaluated their performance using performance metric values such as accuracy, precision, recall, and F-score. According to the obtained empirical results, the DenseNet architecture achieved the highest accuracy values compared to other deep learning methods in detecting multi-label movie genre detection with an impressive rates of 91.64% and 92.56%. © 2024 IEEE.
Need for a Software Development Methodology for Research-Based Software Projects
(Institute of Electrical and Electronics Engineers Inc., 2018) Cereci,I.; Karakaya,Z.; Computer Engineering
Software development is mostly carried by a group of individuals. Software development methodologies are heavily utilized to organize these individuals and keep track of the entire software development process. Although previously proposed software development methodologies meet the needs of the industry and the firms, they are not usually suitable for research-based software projects that are carried by universities and individual researchers. In this paper, we aim to show the necessity of a new software development methodology for research-based problems carried by universities. The literature review will show the differences between industry and university software projects from certain aspects. These findings will be supported by the authors own research on the area. This qualitative research involves collecting data through interviews and applying Grounded Theory to better understand the development process. © 2018 IEEE.
Citation - WoS: 0
Citation - Scopus: 0
A New Approach for Addressing Slip Ratio Optimization and Trajectory Tracking Challenges in Autonomous Tractor Operations
(Ieee, 2024) Aydin, Gulsah Demirhan; Aydemir, Ali Bahadir; Kansou, Mohamad Thaer; Altinuc, Kemal Orcun; Mechatronics Engineering; Mechatronics Engineering
The usage of autonomous agricultural machines is increasing. In this study, two controllers have been designed for trajectory following and longitudinal tire slip ratio control of a rear-wheel independent traction electric autonomous tractor. The first controller is model predictive control (MPC) and the second controller is proportional integral derivative (PID) based. To evaluate the performance of the controllers in the simulation environment, a mathematical tractor model is prepared. Simulations have been made and performances of the designed controllers are shared.
Citation - Scopus: 0
Optimizing Radio Frequency Fingerprinting for Device Classification: A Study Towards Lightweight DL Models
(Institute of Electrical and Electronics Engineers Inc., 2024) Iyiparlakoglu, R.; Awan, M.A.; Dalveren, Y.; Kara, A.
As the Internet of Things (IoT) permeates diverse application domains, ensuring the security of wireless networks has become increasingly critical. However, the constraints of resource-limited IoT devices render complex encryption impractical. Consequently, Radio Frequency Fingerprinting (RFF) has emerged as a promising avenue, leveraging unique device characteristics resulting from manufacturing nonlinearities. RFF enhances physical layer security by enabling device classification and authentication at IoT gateways. While deep learning (DL) aided RFF systems offer exceptional classification accuracy, their deployment on edge devices remains challenging to this end. Accordingly, there is a gap in the literature for efficient model exploration and implementation. This study proposes a lightweight Convolutional Neural Network (CNN) model using 1D convolutional filters to reduce inference latency. The model was applied to an open-source dataset comprising 30 LoRa devices. An evaluation was conducted to compare classification accuracy and inference latency using Short Time Fourier Transform (STFT) and Fast Fourier Transform (FFT) for preprocessing. Additionally, the performance of the proposed model was compared against a CNN model utilizing 2D convolutional filters. The model exhibited a significant reduction in inference latency with miniscule degradation in classification accuracy, addressing the identified gap, and propelling the academic discourse towards RFF for edge devices. © 2024 IEEE.
Citation - Scopus: 0
An Overview of Challenges To Long-Term Sustainability and Scalability of Radio Frequency Fingerprinting
(Institute of Electrical and Electronics Engineers Inc., 2024) Demiroglu, H.S.; Awan, M.A.; Kara, A.
Internet of Things (IoT) technology has become ubiquitous with a broad spectrum of applications. This vast pen-etration entails formidable cyber-security for the stable operation of the associated systems. Most inexpensive IoT devices employ rudimentary cryptographic security mechanisms due to their resource-limited architecture. Radio frequency fingerprinting (RFF) is a physical layer security mechanism that leverages hardware impairments for authentication and device classification. To this end, its scope has been limited to academia owing to daunting challenges. In this work, an abridged overview of the state-of-the-art is provided, along with a summary of the challenges that hinder progress toward practical applications. The article culminates with a discussion on the intricacies of performance metrics in RFF and the direction for future research. © 2024 IEEE.

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