Araştırma Çıktıları | TR-Dizin | WoS | Scopus | PubMed

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Advanced Physicochemical Techniques for Wastewater Treatment
(CRC Press, 2024) El Messaoudi, Noureddine; Georgin, Jordana; Cioğeroğlu, Zeynep; Şenol, Zeynep Mine; Kazan-Kaya, Emine Sena; Arslan, Dilek Şenol; Lacherai, Abdellah; 01. Abdullah Gül University; 02.07. Malzeme Bilimi ve Nanoteknoloji Mühendisliği; 02. Mühendislik Fakültesi
This chapter provides an overview of advanced physicochemical techniques (APCTs) used in wastewater treatment, highlighting their principles, applications, and recent advancements. The chapter begins by discussing the APCTs involved in wastewater treatment, including membrane techniques, electrochemical methods, sonochemical treatment, microwave-assisted processes, hybrid processes, and green chemistry approaches. It explores the mechanisms by which these processes remove suspended solids, colloidal particles, and other contaminants from wastewater. The APCTs are versatile and can be applied to treat wastewater containing diverse pollutants, including heavy metals, organic compounds, and microorganisms. This versatility makes them suitable for various industrial and municipal wastewater streams. These methods are designed to target specific contaminants, resulting in the effective treatment and purification of wastewater. These techniques can be integrated with conventional wastewater treatment processes, enhancing overall treatment efficiency. Ongoing research and development in APCTs contribute to continuous innovation, leading to the discovery of new and improved methods for wastewater treatment. The chapter presents case studies and discusses the advantages, limitations, and future prospects of APCTs. © 2024 Elsevier B.V., All rights reserved.
Advances in the Computation of NMR Parameters for Inorganic Nuclides
(Elsevier, 2023) Holmes, Sean T.; Alkan, Fahri; Dybowski, Cecil R.; 01. Abdullah Gül University
In this article, we discuss practical aspects of the computation of NMR parameters of inorganic nuclides, as well as insights afforded by such calculations into the characterization of molecular-level structure and dynamics and the validation of theoretical models. An emphasis is placed on calculation of the magnetic shielding tensors of solids using cluster-based models that account for intermolecular interactions. In particular, the use of valence modification of terminal atoms using bond valence theory (VMTA/BV), which reduces net charges on clusters through terminal pseudoatoms with nonstandard nuclear charges, is demonstrated to be a robust technique for calculations on nuclei in network solids. Cluster-based calculations, including those that employ the VMTA/BV method, afford a unique opportunity to calculate magnetic shielding tensors for nuclei in solids by using density functional theory approximations beyond the generalized gradient approximation and by incorporating relativistic effects at the spin-orbit level. These developments are spurred by use of the zeroth-order regular approximation (ZORA), which provides a robust method of accounting for relativistic effects (up to the spin-orbit level) experienced by valence electrons. Calculations of NMR parameters are discussed for fluorine, cadmium, tin, tellurium, mercury, lead, and platinum, all of which have seen significant advances in recent years. These examples highlight the importance of such factors as coordination geometry, oxidation state, relativistic effects, and density functional approximations on computed magnetic shielding tensors. © 2023 Elsevier B.V., All rights reserved.
Citation - Scopus: 7
ANT-M: Design of Passive Lower-Limb Exoskeleton for Weight-Bearing Assistance in Industry
(Springer International Publishing, 2019) Guncan, Berkay; Unal, Ramazan; 01. Abdullah Gül University
This study describes the optimized design of a passive lower limb exoskeleton for workers in the industry. The exoskeleton is aimed at helping workers who carry heavy loads, by supporting their posture and reducing stress in their knees which would prevent future injuries. However, most of the previous passive designs are insufficient in a way that they are bulky. Therefore, this study is focused on achieving lightweight passive exoskeleton. Topology optimization has been carried out to reach this goal. The results are validated using finite elements methods, in ANSYS environment. © 2018 Elsevier B.V., All rights reserved.
Citation - Scopus: 4
A Bi-Criteria Approach to Scheduling in the Face of Uncertainty: Considering Robustness and Stability Simultaneously
(Nova Science Publishers, Inc., 2014) Gören, Selçuk; Sabuncuoĝlu, Ihsan; 01. Abdullah Gül University
It is possible to scrutinize impacts of uncertainty on schedules from two different perspectives. The flrst one has to do with the fact that schedules are required to main- tain high performance in the face of uncertainty. In other words, it is desired that their performances are insensitive to negative impacts of disruptions. We refer to this view- point as the robustness perspective. The second viewpoint is about another quality: when a schedule is executed in the shop floor, the realized schedule is required not to deviate much from its initial version. This is because many activities besides pro- duction are planned based on the production schedule. It is important that unforeseen disruptions affect the plans for these activities as little as possible. We refer to this viewpoint as the stability perspective. Even though a considerable body of literature has emerged on hedging schedules against the negative effects of unforeseen disrup- tions in the last two decades, few studies address the problem of scheduling under uncertainty from both the robustness and the stability perspectives at the same time. The nature of the relation between robustness and stability, the trade-off between them, the circumstances under which they conflict or reconcile need to be thoroughly inves- tigated. To this end, we propose a bi-criteria approach to simultaneously investigate the robustness and stability of production schedules. We consider proactive schedul- ing in a single machine environment with random processing times. We use the total expected flow time and the total variance of job completion times as the robustness and stability measures, respectively. The proposed o-constraint variants are exact methods to generate the set of all Pareto-optimal schedules. We also develop an algorithm to generate a flxed number (set by the decision-maker) of near-Pareto-optimal schedules to deflne the characteristics and the shape of the trade-off curve without generating the entire Pareto set. Our computational experiments indicate that the proposed algorithms are efflcient. © 2018 Elsevier B.V., All rights reserved.
Citation - WoS: 1
Cognitive Radio Networks for Smart Grid Communications Potential Applications, Protocols, and Research Challenges
(CRC Press-Taylor & Francis Group, 2016) Kogias, Dimitris; Tuna, Gurkan; Gungor, Vehbi Cagri; 01. Abdullah Gül University
Cognitive Radio Networks for Smart Grid Communications: Potential Applications, Protocols, and Research Challenges
(CRC Press, 2017) Κogias, DImitrios G.; Tuna, Gürkan; Güngör, Vehbi Çağrı; 01. Abdullah Gül University
A smart grid (SG) is the next generation of power grid, where transmission, distribution, power generation, utilization, and management are fully upgraded to improve efficiency, agility, environmental friendliness, economy, security, and reliability [1-4]. It offers two-way communication between the base stations and power generation sites [2-5], and optimizes the overall system performance by taking the advantage of wireless sensor networks (WSNs) [6-13], using smart sensor devices, and implementing renewable energy solutions. Since SG consists of many different applications with different communication and quality of service (QoS) requirements, it involves heterogeneous communication technologies based on a multitier communication infrastructure. © 2019 Elsevier B.V., All rights reserved.
Communications Technologies for Smart Grid Applications: A Review of Advances and Challenges
(IGI Global, 2022) Tuna, Gürkan; Das, R.; Güngör, Vehbi Çağrı; 01. Abdullah Gül University
Smart grid is a modern power grid infrastructure for improved efficiency, reliability, and safety, with smooth integration of renewable and alternative energy sources, through automated control and modern communications technologies. The smart grid offers several advantages over traditional power grids such as reduced operational costs and opening new markets to utility providers, direct communication with customer premises through advanced metering infrastructure, self-healing in case of power drops or outage, providing security against several types of attacks, and preserving power quality by increasing link quality. Typically, a heterogeneous set of networking technologies is found in the smart grid. In this chapter, smart grid communications technologies along with their advantages and disadvantages are explained. Moreover, research challenges and open research issues are provided. © 2022 Elsevier B.V., All rights reserved.
Citation - Scopus: 4
Computational Detection of Pre-MicroRNAs
(Humana Press Inc., 2022) Saçar Demirci, Müşerref Duygu; 01. Abdullah Gül University; 04. Yaşam ve Doğa Bilimleri Fakültesi; 04.01. Biyomühendislik
MicroRNA (miRNA) studies have been one of the most popular research areas in recent years. Although thousands of miRNAs have been detected in several species, the majority remains unidentified. Thus, finding novel miRNAs is a vital element for investigating miRNA mediated posttranscriptional gene regulation machineries. Furthermore, experimental methods have challenging inadequacies in their capability to detect rare miRNAs, and are also limited to the state of the organism under examination (e.g., tissue type, developmental stage, stress-disease conditions). These issues have initiated the creation of high-level computational methodologies endeavoring to distinguish potential miRNAs in silico. On the other hand, most of these tools suffer from high numbers of false positives and/or false negatives and as a result they do not provide enough confidence for validating all their predictions experimentally. In this chapter, computational difficulties in detection of pre-miRNAs are discussed and a machine learning based approach that has been designed to address these issues is reviewed. © 2021 Elsevier B.V., All rights reserved.
Citation - WoS: 19
Citation - Scopus: 26
Computational Prediction of Functional MicroRNA-mRNA Interactions
(Humana Press Inc, 2019) Demirci, Muserref Duygu Sacar; Yousef, Malik; Allmer, Jens; 01. Abdullah Gül University; 04. Yaşam ve Doğa Bilimleri Fakültesi; 04.01. Biyomühendislik
Proteins have a strong influence on the phenotype and their aberrant expression leads to diseases. MicroRNAs (miRNAs) are short RNA sequences which posttranscriptionally regulate protein expression. This regulation is driven by miRNAs acting as recognition sequences for their target mRNAs within a larger regulatory machinery. A miRNA can have many target mRNAs and an mRNA can be targeted by many miRNAs which makes it difficult to experimentally discover all miRNA-mRNA interactions. Therefore, computational methods have been developed for miRNA detection and miRNA target prediction. An abundance of available computational tools makes selection difficult. Additionally, interactions are not currently the focus of investigation although they more accurately define the regulation than pre-miRNA detection or target prediction could perform alone. We define an interaction including the miRNA source and the mRNA target. We present computational methods allowing the investigation of these interactions as well as how they can be used to extend regulatory pathways. Finally, we present a list of points that should be taken into account when investigating miRNA-mRNA interactions. In the future, this may lead to better understanding of functional interactions which may pave the way for disease marker discovery and design of miRNA-based drugs.
Citation - Scopus: 3
Deep Learning Based Formation Control of Drones
(Springer Science and Business Media Deutschland GmbH, 2021) Kabore, Kader Monhamady; Guler, Samet; 01. Abdullah Gül University; 02. Mühendislik Fakültesi; 02.05. Elektrik & Elektronik Mühendisliği
Robot swarms can accomplish demanding missions fast, efficiently, and accurately. For a robust operation, robot swarms need to be equipped with reliable localization algorithms. Usually, the global positioning system (GPS) and motion capture cameras are employed to provide robot swarms with absolute position data with high precision. However, such infrastructures make the robots dependent on certain areas and hence reduce robustness. Thus, robots should have onboard localization capabilities to demonstrate a swarm behavior in challenging scenarios such as GPS-denied environments. Motivated by the need for a reliable onboard localization framework for robot swarms, we present a distance and vision-based localization algorithm integrated into a distributed formation control framework for three-drone systems. The proposed approach is established upon the bearing angles and the relative distances between the pairs of drones in a cyclic formation where each drone follows its coleader. We equip each drone with a monocular camera sensor and derive the bearing angle between a drone and its coleader with the recently developed deep learning algorithms. The onboard measurements are then relayed back to the formation control algorithm in which every drone computes its control action in its own frame based on its neighbors only, forming a completely distributed architecture. The proposed approach enables three-drone systems to perform in coordination indepen- dent of any external infrastructure. We validate the performance of our approach in a realistic simulation environment. © 2021 Elsevier B.V., All rights reserved.
Citation - Scopus: 2
Design of Bio-Joint Shaped Knee Exoskeleton Assisting for Walking and Sit-to
(Springer International Publishing, 2019) Kapci, Mehmet Fazil; Unal, Ramazan; 01. Abdullah Gül University
In this study, a bio-joint shaped knee joint exoskeleton is presented. This design is meant for avoiding misalignment of the exoskeleton joint with the biological knee joint. For this purpose a cam mechanism has been designed to prevent the misalignment from translation of the femur on tibia. Additionally, walking and sit-to-stance is passively assisted with a spring element that is activated with the heel contact. A single spring is used for both walking and sit-to-stance, due to the similar characteristics of the gait cycle and initial phases of the sit-to-stance in joint stiffness. © 2018 Elsevier B.V., All rights reserved.
Dietary Fibers
(Springer Nature, 2021) Drǎgan, Simona Ruxandra; Damian, Georgiana; Pah, Ana Maria; Hayta, Mehmet; Kahraman, Kevser; 01. Abdullah Gül University; 02.07. Malzeme Bilimi ve Nanoteknoloji Mühendisliği; 02. Mühendislik Fakültesi
Dietary fibers have become increasingly popular in recent years with various applications in the food and pharmaceutical industry industries. Dietary fibers are plant-based foods which are incompletely digested by digestive enzymes. The water-soluble fibers are prebiotics, which are fermented in the colon and have a beneficial role for gut microbiota. The insoluble fibers are not affected by digestive systems and provide bulking. Fiber intake has various benefits: it reduces appetite, lowers variance in blood sugar levels, reduces the risk of cardiovascular disease, lowers the risk of diabetes, balances intestinal pH, alle¬viates constipation, and facilitates regular defecation. © 2023 Elsevier B.V., All rights reserved.
The Digitized Shoulder: From Preoperative Planning to Patient-Specific Guides
(Springer International Publishing, 2022) Mohammad Sadeghi, Majid; Kapicioǧlu, Mehmet; Kececi, Emin Faruk; Bilsel, Kerem; 01. Abdullah Gül University
As the information and computer technologies improve, it can change how the shoulder surgeries and treatments are done. Digitalization of the shoulder joint acquired via MR and CT (1) shows the surgeons the pathology in a more easily understandable way, (2) generates models for preoperative planning, and (3) uses special software to generate patient-specific instruments. Digitalization of the shoulder will make the shoulder disorder’s treatment easier and more accurate in the future. © 2023 Elsevier B.V., All rights reserved.
Distribution of Mass Migrants to Urban Spaces
(TU Delft, 2023) Yildirim, Vildan; Tan, Şebnem; Kul, Ömer; Aksoyak, Omer Devrim; 01. Abdullah Gül University; 05.01. Mimarlık; 05. Mimarlık Fakültesi
EAP Through the Lens of Corpus Linguistics: Specifying the Focus
(Taylor and Francis, 2024) Özer, Mustafa; 01. Abdullah Gül University; 09. Yabancı Diller Yüksekokulu
Economic Policy and Interest Groups
(De Gruyter, 2020) Schuss, Heiko; 01. Abdullah Gül University; 03.02. Ekonomi; 03. Yönetim Bilimleri Fakültesi
Citation - Scopus: 7
Effluent Treatment in Denim and Jeans Manufacture
(Elsevier Ltd, 2015) Uzal, Niǧmet; 01. Abdullah Gül University; 02.03. İnşaat Mühendisliği; 02. Mühendislik Fakültesi
This chapter discusses the major strategies that should be considered in the treatment of denim dyeing and jeans processing wastewater. It first gives an overview of wastewater characteristics and further elaborates on the different techniques currently available for treating wastewater. There follow the strategies to be adopted for water reuse and the recovery of dyes and chemicals. Also emphasised is the utilisation of novel technologies that provide waste minimisation, recovery and reuse opportunities and pollution prevention, instead of end of pipe approaches for treating this highly polluted wastewater. © 2017 Elsevier B.V., All rights reserved.
Citation - Scopus: 53
Energy Harvesting and Battery Technologies for Powering Wireless Sensor Networks
(Elsevier Inc., 2016) Tuna, Gürkan; Güngör, Vehbi Çağrı; 01. Abdullah Gül University
Due to the advances in wireless sensor networks (WSNs), factory and plant process automation systems are being reinvented. WSN-based industrial applications often cost much less than wired networks in both the short and long terms; automation engineers are empowering existing solutions with the new capabilities of WSNs. On the other hand, since industrial wireless sensor networks (IWSNs) consist of thousands of nodes, the problem of powering the nodes is critical. Power to the nodes is usually provided through primary batteries and this necessitates replacement when the batteries are depleted. However, the replacement may not be cost-effective or even feasible in most industrial applications.Though advancements in integrated circuit technologies help in saving more energy by leading to lower energy consumption levels, they do not eliminate the use of battery power. In this regard, energy harvesting technologies play a key role in extending the battery lifetime of the nodes. Wireless sensor nodes within industrial plants can operate from energy harvested from available energy sources such as heat, mechanical motion or vibration, indoor lighting, electromagnetic fields, and air flow. In this chapter, a review of existing energy storage technologies and various energy-harvesting techniques is given. The chapter then discusses open research issues in these topics. © 2020 Elsevier B.V., All rights reserved.
Citation - Scopus: 1
Energy Simulation Optimization for Building Insulation Materials
(Springer International Publishing, 2023) Himmetoğlu, Salih; Delice, Yılmaz; Kızılkaya Aydoğan, Emel Kizilkaya; Uzal, Burak; 01. Abdullah Gül University; 02.03. İnşaat Mühendisliği; 02. Mühendislik Fakültesi
Recently increased energy consumption and carbon emissions caused by energy consumption have mobilized governments. Energy-efficient building designs have become one of the most fundamental strategies preferred by governments. The heating and cooling demands have an important share in energy consumption in buildings. Therefore, thermal insulation systems have become the basic building elements to design energy-efficient buildings. Determining suitable thermal insulation strategies for energy-efficient structures built in different climates is an important decision problem for designers. This study aims to select insulation material and insulation thickness for energy-efficient building design. The stone wool, extruded polystyrene (XPS) insulation materials, and their alternative thicknesses are considered for Turkey’s two different climate zones. The Energy Plus and Design Builder energy simulation programs are used to analyze all alternatives. A decision support system is generated by considering both the material cost and the heating and cooling energies to be consumed during the building life cycle. The most suitable insulation material for the first zone is stone wool, and its thickness is 10 cm. The most suitable insulation material for the second zone is stone wool, and its thickness is 10 cm. The total saving is 11% for the building in the first zone. The total saving is 9% for the building in the second zone. The generated designs have been quite stimulating for decision-makers. © 2024 Elsevier B.V., All rights reserved.
Citation - Scopus: 1
Estimation of Protease Activity by Use of the Mixolab
(Elsevier Inc., 2013) Kahraman, Kevser; Köksel, Hamit F.; 01. Abdullah Gül University; 02.07. Malzeme Bilimi ve Nanoteknoloji Mühendisliği; 02. Mühendislik Fakültesi

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