Sürdürülebilir Kalkınma Amaçları
Yazarlar
- Kose, Oguz(3)
- Oktay, Tugrul(3)
- Karaman, Safa(2)
- Kayacier, Ahmed(2)
- Yüksel, Ferhat(2)
- Akdogan, Arda(1)
- Akça, Muhammet Esat(1)
- Araz, Onur(1)
- Atalar, Ilyas(1)
- Aydın, Kemal(1)
- Ayvaz, Yusuf(1)
- Ağçam, Erdal(1)
- Başer, Oğuzhan(1)
- Bekiroglu, Serkan(1)
- Cabaroğlu, Turgut(1)
- Darıcı, Merve(1)
- Dede, Tayfun(1)
- Erdemoğlu, Murat(1)
- Feyza Kablan(1)
- Fuat, Aslan(1)
- Gökçe Dilek, Küçük(1)
- Gündogdu, Engin(1)
- Halil İbrahim Şen(1)
- Kalyon, Ali(1)
- Kaya, Yakup(1)
- Kordestani, Arash(1)
- Koşmaz, Betül(1)
- Küçük, Mehmet Ali(1)
- Kırıt, Burcu Dündar(1)
- Mustafa Karagöz(1)
- Odabas, Halil Ibrahim(1)
- Oghazi, Pejvak(1)
- Onur, İzmir(1)
- Parlak, Mahmut Ekrem(1)
- Rad, Fakhreddin Fakhrai(1)
- Rıdvan, Şahin(1)
- Sahin, Huseyin(1)
- Saricaoglu, Furkan Turker(1)
- Serkan Yıldırım, Mehmet(1)
- Shahraki, Mohammad Alibabaei(1)
Yayınlar
- Yüksek Lisans TeziAçık Erişim2026Reklam kampanyalarında bütçe planlaması: Doğrusal programlama yöntemi ile bir uygulama
Zinhoué Kpognihoué Jeanine Houssou
Reklamcılık, insanları bir ürün veya hizmetten gönüllü olarak yararlanmaya teşvik etmek, dikkatlerini ürün, hizmet veya markaya çekmek amacıyla yapılan yazılı, görsel ve işitsel çalışmaların tümüdür. Günümüzde, şirketler tarafından hizmetlerini ve ürünlerini tanıtmak için yaygın olarak kullanılmaktadır. Çoğu zaman yüksek maliyetine rağmen ticari hedeflere ulaşmak ve ciroyu artırmak için çok önemli bir yatırım olarak kabul edilir. Etkili bir reklam kampanyası, yeni müşteriler çekerek ve mevcut müşterileri elde tutarak işletmenin büyümesini sağlayabilir. Bu nedenle, reklam kampanyalarında bütçe planlamasının optimize edilmesi gereklidir. Bu çalışmada, bir reklam şirketinin 2024 yılı resmi faaliyet raporlarındaki verilerine göre bütçe planlamaları yapmak için optimizasyon problemlerinin çözümünde kullanılan doğrusal programlama yöntemi ile reklam kampanyası bütçesinde planlanma yapılması amaçlanmaktadır. Şirketin sipariş sayıları, bütçeye ayrılan hizmet türleri ve maliyet verilerine göre kurulan doğrusal programlama modeli, LINDO paket programlama ile çözümlenmiş, çözüm sonuçlarına göre reklam kampanyası için optimal bütçenin belirlenmesi ve değerlendirilmesi yapılmıştır. Modelden elde edilen bulgulara göre reklam şirketindeki reklam kampanyası bütçesinde %3’lük tasarruf elde edilmiştir. Bu durum kaynak kullanımının etkinliğini artırılmasını ve reklam şirketinde yıllık reklam kampanyası bütçesinde optimal bütçenin belirlenmesini sağlamıştır.
- MakaleYalnız künye2026Scopus SJRQ1Optimal design of a novel enhanced inerter-based tuned mass damper in seismic-excited structures considering SSI effects
Araz, Onur; Shahraki, Mohammad Alibabaei
This paper proposed a novel enhanced inerter-based tuned mass damper (E-TMDI) for the control of damped single-degree-of-freedom structures due to ground acceleration. The apparatus represents an energy-dissipating passive absorber assembled from a pair of inerter elements, a pair of springs, a single mass, and a single damper. The present work directly integrates soil-structure interaction (SSI) effects within the optimization process, thereby yielding more accurate and dependable outcomes. For a clearer insight into the control mechanism of E-TMDI, the frequency-domain transfer function for responses is derived, while the influences of various model parameters on the displacement amplitude magnification factor of the superstructure both considering and neglecting SSI are examined. Four design parameters (i.e., f 1 first frequency ratio, f 2 secondary frequency ratio, ξ1 damping ratio, and κ inertance ratio of the second inerter to the first) of E-TMDI are obtained using particle swarm optimization (PSO) algorithm to minimize peak displacement amplitude of the structure. Results from the frequency domain analyses in this research indicate that the proposed E-TMDI has better efficiency and frequency band property both traditional TMD and TMDI configurations when equipped with same total mass (μ) and inertance ratio (β) in suppressing structural vibrations. Additionally, the stability of the proposed device is examined through simulations of the E-TMDI-equipped structure under a range earthquake record. The findings reveal that the E-TMDI maintains superior effectiveness even when the host structure experiences diverse earthquake events. This validation, conducted under real earthquake records, confirms the reliability of this design framework, filling a significant gap in determining the seismic control performance of E-TMDI under varying soil conditions.
AtıfScopus19WoS19OpenAlex20İncele - MakaleYalnız künye2026Scopus SJRQ2A comprehensive optimization framework for indoor laser-based optical wireless communication using gimbal-steered transmitters
Başer, Oğuzhan; Küçük, Mehmet Ali; Türk, Kadir
The growing demand for high-speed wireless communication, driven by data-intensive applications such as high-definition video streaming and augmented reality, has highlighted the limitations of the Radio Frequency (RF) spectrum. Optical Wireless Communication (OWC) has emerged as a promising complementary technology, offering wide bandwidth, license-free operation, high security, and immunity to electromagnetic interference. Among OWC transmitters, Laser Diodes (LDs) provide high modulation bandwidth and narrow divergence angles, enabling data rates of several tens of gigabits per second. However, the narrow beam of LDs requires precise Line-of-Sight (LoS) alignment, making beam steering essential. This study focuses on optimizing the positioning and orientation of gimbal- or galvo-based LD transmitters in indoor OWC systems to minimize outage probability under LoS constraints and physical obstructions. An outage probability model considering room geometry and device field-of-view angles is developed and analyzed for three scenarios within a 7 × 5 m room: an empty environment, a room with a 1 × 1 m column, and a user-occupancy-aware environment. The complex optimization problem is solved using multiple meta-heuristic algorithms, including Particle Swarm Optimization (PSO), L-SHADE, and Stochastic Fractal Search with Fitness-Distance Balance (FDB-SFS). The obtained results are subsequently validated through grid search approach. The proposed approach achieves significant outage reduction, demonstrating that incorporating obstacle and user-distribution information enables efficient coverage with fewer terminals, reaching outage probabilities as low as 0.4%.
AtıfScopus1İncele - MakaleYalnız künye2026Scopus SJRQ1Effects of thermosonication pretreatment on the physicochemical and sensory properties of grape juice obtained from Kösetevek grapes
Zemzemoğlu, Tuba Eda Arpa; Kırıt, Burcu Dündar; Darıcı, Merve; Ağçam, Erdal; Cabaroğlu, Turgut
Kösetevek grape is a significant indigenous black grape variety with colored pulp, grown in the Eastern Anatolia Region of Türkiye. Mash heating (MH) is commonly used in grape juice production. However, to better preserve phenolic, aroma, and nutritional components, Thermosonication (TS) process is utilized as an alternative technique. The aim of this study was to determine the effects of TS conditions on the physicochemical and sensory properties of grape juice obtained from Kösetevek grapes. Grape juice underwent TS at various temperatures and ultrasound energy density (UED) levels, followed by an optimization study using Response Surface Methodology (RSM). Grape juice samples were analyzed for total phenolic content (TP), total monomeric anthocyanins (TMA), antioxidant activity (FRAP and DPPH), polymeric color ratio (PCR), color difference (ΔE*), and extraction yield. The optimum TS conditions were determined as 801.99 J/g UED and 43.5 °C (desirability value = 0.595). Under optimal conditions, anthocyanin profiles were characterized by HPLC, aroma compounds were identified using GC–MS, and sensory properties were evaluated by descriptive analysis. TS resulted in a significant increase in TP and TMA content. The ΔE* value was lower, suggesting that the product's natural color was better preserved. TS enhanced the phenolic content and yield of the grape juice while also contributing to the preservation of color and sensory properties. TS juice contained the highest concentrations of aroma compounds, particularly C6 compounds and higher alcohols. This characteristic made TS more effective at preserving fresh aromas compared to MH, which generated cooked odors. Overall, TS has the potential to be applied as an alternative to or together with traditional thermal processes in industrial production.
AtıfScopus1WoS1OpenAlex1İncele - MakaleAçık Erişim2026Scopus SJRQ1Process Optimization of Spray-Dried Aquafaba and Comparison with Freeze-Drying: Techno-Functional Performance and Structural Attributes
Tunc Odabas, Merve Tugce; Saricaoglu, Furkan Turker; Parlak, Mahmut Ekrem; Akdogan, Arda; Odabas, Halil Ibrahim; Gündogdu, Engin; Simsek, Senay; Atalar, Ilyas
This study aimed to optimize the spray-drying (SD) process for aquafaba and compare the physical and techno-functional properties of the resulting powder with those of its freeze-dried (FD) counterpart. A Box-Behnken design was employed to evaluate the effects of inlet air temperature (150-190 degrees C), air speed (3.5-4.3 m/s), and feed flow rate (0.3-0.5 L/h) on 14 quality responses. The optimized SD conditions were determined to be an inlet air temperature of 189 degrees C, an air speed of 4.2 m/s, and a feed flow rate of 0.3 L/h. Validation experiments demonstrated that the developed models had high predictive capacity, with only a small discrepancy (0.56-5.88%) between the predicted and experimental values. Comparative analysis showed that the optimized SD powder had significantly lower moisture content (2.47%) and water activity (0.18) than the FD powder (3.51% and 0.34, respectively), indicating superior storage stability. In addition, the SD powder exhibited greater whiteness (82.37), higher water solubility (88.44%), and substantially greater foaming capacity (266.67%) than the FD sample (243.33%). Although the FD powder demonstrated better wettability and water absorption capacity because of its porous structure, FTIR spectroscopy and protein secondary structure analysis confirmed that SD preserved the functional integrity of aquafaba. Specifically, SD induced a transition from disordered random-coil structures to more ordered beta-sheet and beta-turn configurations, thereby improving foaming performance. Overall, these findings indicate that optimized spray-drying is a highly efficient and industrially scalable alternative to freeze-drying for producing functional aquafaba powder for use as a plant-based egg substitute.
- MakaleAçık Erişim2025Scopus SJRQ1Adoption of AI-based order picking in warehouse: benefits, challenges, and critical success factors
Rad, Fakhreddin Fakhrai; Oghazi, Pejvak; Onur, İzmir; Kordestani, Arash
This research assesses the adoption of artificial intelligence (AI)-based batch order picking in a warehouse, focusing on benefits, challenges, and critical success factors. Using customer order data and simulation, the study employs a quantitative approach, combining mathematical and statistical estimations with qualitative examinations centered on interviews with the warehouse staff, its Enterprise Resource Planning (ERP) developer, and the AI developer. The findings of this mixed-method study reveal that the AI-based order-picking system (AI-based system) has improved order-picking efficiency by reducing travel distance and time. Nevertheless, challenges hinder maximum utilization of the system. In addition, the research highlights critical success factors and other benefits of adopting the system tailored to warehouse management. Understanding the lessons learned in this research is essential for businesses seeking to adopt AI to enhance their efficiency.
AtıfScopus13WoS5OpenAlex5İncele - MakaleYalnız künye2025Scopus SJRQ2Optimization of steel diffusion bonding processes using the Taguchi method
Serkan Yıldırım, Mehmet; Aydın, Kemal; Kalyon, Ali; Kaya, Yakup
This study examines the diffusion bonding behavior between 316L stainless steel and H13 tool steel, focusing on the effects of key process parameters. Specifically, the influence of bonding pressure, bonding temperature, and holding time on joint quality and mechanical performance is systematically investigated. The Taguchi optimization method was employed to determine the optimal bonding conditions, with shear strength serving as the primary performance indicator. The bonding interfaces were characterized through scanning electron microscopy to analyze microstructural evolution and diffusion behavior. Analysis of variance was conducted to assess the influence of process parameters on shear strength, identifying temperature as the most significant factor. The optimum shear strength was experimentally validated, and a confidence interval was calculated to ensure statistical reliability. The results demonstrated that higher bonding temperatures and moderate pressures led to improved diffusion at the interface, enhancing joint integrity. The findings contribute to a better understanding of the diffusion bonding process and its potential for high-performance applications in aerospace, biomedical, and tooling industries.
AtıfScopus2OpenAlex1İncele - MakaleYayıncıda açık erişim2025Scopus SJRQ3Optimization of rare earth elements recovery from Kızıldag (Karaman-Türkiye) shale ore using response surface methodology
Uysal, Turan; Ünal, Ceren Erust; Akça, Muhammet Esat; Sis, Hikmet; Erdemoğlu, Murat
In this study, the usability of bauxite-related shale ore, rich in Rare Earth Elements (REEs), to produce REEs, which have high added value and critical importance, was investigated. In this context, Kızıldag (Karaman-Türkiye) shale ore, was prepared for tests through size reduction and sampling processes. HCl leaching was performed at different acid concentrations, leaching times, leaching temperatures, and liquid/solid ratios to determine the optimum leaching conditions for the milled ore. The modeling and optimization parameters related to leaching recovery were investigated using the response surface method (RSM). The results were evaluated using analysis of variance, three-dimensional graphs were drawn, and the accuracy of the models was discussed. Accordingly, optimum values were found, and the REE leaching recovery corresponding to these optimum values was 49.13%. It was concluded that the optimization results were compatible with the experimental results, and the average error rate (6.35%) was low.
AtıfScopus3WoS4OpenAlex4İncele - Yüksek Lisans TeziAçık Erişim2023İçmesuyu arıtma tesislerinde etkin proje yönetimi: Ordu Gölköy İçme Suyu Arıtma Tesisi örneği
Mustafa Karagöz
Geniş yerleşimler ve fazla nüfusların ihtiyaçlarını karşılayabilecek şekilde kullanıcılara ulaştırılabilmesi için, her geçen gün daha fazla miktarda, kaliteli ve güvenilir içme suyunun, etkin ve verimli içme suyu arıtma tesislerinin arıtımından geçirilmesi gerekmektedir. Bu tez çalışmasında bu ihtiyacı karşılamaya yönelik olarak daha etkin ve verimli çalışabilecek içme suyu arıtma tesislerinin optimum proses seçimlerine dayalı proje yönetiminin nasıl yapılması gerektiği değerlendirilmektedir. Çalışma kapsamında en son güncel mevzuat verileri incelenmekte, özgün değer açısından mevcut Gölköy ve Gürgentepe İlçeleri İçme Suyu Arıtma Tesisi özelinde; kapsam yönetimi, iletişim yönetimi, bütçe yönetimi, zaman yönetimi, tedarik yönetimi, insan kaynakları yönetimi, risk yönetimi, kalite yönetimi, paydaş yönetimi ve entegrasyon yönetimi olmak üzere yönetim açısından proje adımları ile bu adımlara bağlı olarak; kapasite kullanım oranı, iş sağlığı ve güvenliği açısından Fine Kinney Metodu ile risk değerlendirmesi, tesisin yıllara göre arıtma veriminin değerlendirilmesi, mevcut tesislerin inşaat-mekanik ve elektrik güncel maliyetinin hesaplanması, fayda-maliyet analizleri ile tesisin yapım ve işletme maliyetlerinin su bütçesiyle amortismanı, maliyet analizlerinin zamana dayalı yapım ve işletme giderlerinin değerlendirilmesi ve mevcut içme suyu arıtma tesislerinin yenilenmesi veya optimizasyonu açısından durum analizleri yapılarak etkin proje yönetimi irdelenmektedir. Ayrıca kamu kaynaklarının etkili ve verimli kullanılması adına; yeni yapılacak olan içme suyu arıtma tesislerinde en son yayımlanan mevzuat esas ve normlarına dayalı optimum proses seçimi yapılarak, uygulamalardaki farklılığın önüne geçilmesi ve verimli proje yönetiminin sağlanması amaçlanmaktadır. Mevcut içme suyu arıtma tesislerinde ise bu tür proje yönetimlerinin; bu tesislerin yenilenmesi veya optimizasyonu sırasında durum analizleri yapılarak sınırlı ekonomik kaynakların kamu yatırımlarında daha etkin ve verimli kullanılması açısından öngörü ve fayda sağlayacağı değerlendirilmektedir. Anahtar Kelimeler: Fine Kinney metodu, İçmesuyu arıtma tesisi, Optimizasyon, Proje yönetimi, Proje yönetiminde iş programı
- MakaleYalnız künye2023Scopus SJRQ2Simultaneous design of morphing hexarotor and autopilot system by using deep neural network and SPSA
Kose, Oguz; Oktay, Tugrul
PurposeThe purpose of this paper is to optimize the simultaneous flight performance of a hexarotor unmanned aerial vehicle (UAV) by using simultaneous perturbation stochastic approximation (i.e. SPSA), deep neural network and proportional integral derivative (i.e. PID) according to varying arm length (i.e. morphing). Design/methodology/approachIn this paper, proper PID gain coefficients and morphing ratio were obtained using the stochastic optimization method, also known as SPSA to maximize flight efficiency. Because it is difficult to establish an analytical connection between the morphing ratio and hexarotor moments of inertia, the deep neural network was used to obtain the moments of inertia according to the morphing ratio. By using SPSA and deep neural network, the best performance indexes were obtained and both longitudinal and lateral flight simulations were performed with the obtained data. FindingsWith SPSA, the best PID coefficients and morphing ratio are obtained for both longitudinal and lateral flight. Because the hexarotor solid body model changes according to the morphing ratio, the moment of inertia values used in the simulations also change. According to the morphing ratio, the moment of inertia values was obtained with the deep neural network over a created data set. Research limitations/implicationsIt takes a long time to obtain the morphing ratio suitable for the hexarotor model and the PID gain coefficients suitable for this morphing ratio. However, this situation can be overcome with the proposed SPSA. In addition, it takes a long time to obtain the appropriate moments of inertia according to the morphing ratio. However, in this case, it was overcome using the deep neural network. Practical implicationsDetermining the morphing ratio and PID gain coefficients using the optimization method, as well as determining the moments of inertia using the deep neural network, is very useful as it can increase the efficiency of hexarotor flight and flight efficiently with different arm lengths. With the proposed method, the hexarotor design performance criteria (i.e. rise time, settling time and overshoot) values were significantly improved compared to similar studies. Social implicationsDetermining the hexarotor flight parameters using SPSA and deep neural network provides advantages in terms of time, cost and applicability. Originality/valueThe hexarotor flight efficiency is improved with the proposed SPSA and deep neural network approaches. In addition, the desired flight parameters can be obtained more quickly and reliably with the proposed approaches. The design performance criteria were also improved, enabling the hexarotor UAV to follow the given trajectory in the best way and providing convenience for end users. SPSA was preferred because it converged faster than other methods. While other methods perform 2n operations per iteration, SPSA only performs two operations. To obtain the moment of inertia, many physical parameter values of the UAV are required in the existing methods. In the proposed method, by creating a date set, only arm length and moment of inertia were estimated without the need to obtain physical parameters with the deep neural network structure.
AtıfWoS48OpenAlex47İncele - Yüksek Lisans TeziAçık Erişim2022Yapı zemin etkileşimi dikkate alınarak sismik etkiler altındaki bir yapı için seri bağlı ayarlı kütle sönümleyicilerin optimizasyonu
Feyza Kablan
Bu tez çalışmasında, sismik yükler altındaki bir yapıdaki dinamik tepkilerin azaltılmasında seri bağlı ayarlı kütle sönümleyicinin kontrol performansı araştırılmıştır. Sayısal sonuçların elde edilmesinde 12 farklı deprem kaydı ve 3 farklı zemin sınıfı dikkate alınmıştır. Seri bağlı ayarlı külte sönümleyiciye ait optimum parametrelerin elde edilmesinde genetik algoritma yöntemi kullanılmıştır. Çalışma sonucunda, depremin frekans içeriğinin ve yapı zemin etkileşiminin seri bağlı ayarlı kütle sönümleyicilerin kontrol performansı üzerinde önemli bir etkiye sahip olduğu görülmüştür. Ayrıca, seri bağlı ayarlı kütle sönümleyici için elde edilen sonuçlar klasik ayarlı kütle sönümleyiciyle karşılaştırılmıştır.
- MakaleYalnız künye2022Scopus SJRQ2Simultaneous autonomous system and powerplant design for morphing quadrotors
Sahin, Huseyin; Kose, Oguz; Oktay, Tugrul
Purpose This study aims to optimize autonomous performance (i.e. both longitudinal and lateral) and endurance of the quadrotor type aerial vehicle simultaneously depending on the autopilot gain coefficients and battery weight. Design/methodology/approach Quadrotor design processes are critical to performance. Unmanned aerial vehicle durability is an important performance parameter. One of the factors affecting durability is the battery. Battery weight, energy capacity and discharge rate are important design parameters of the battery. In this study, proper autopilot gain coefficients and battery weight are obtained by using a stochastic optimization method named as simultaneous perturbation stochastic approximation (SPSA). Because there is no direct correlation between battery weight and battery energy density, artificial neural network (ANN) is benefited to obtain battery energy density corresponding to resulted battery weight found from SPSA algorithm. By using the SPSA algorithm optimum performance index is obtained, then obtained data is used for longitudinal and lateral autonomous flight simulations. Findings With SPSA, the best proportional integrator and derivative (PID) coefficients and battery weight, energy efficiency and endurance were obtained in case of morphing. Research limitations/implications It takes a long time to find the most suitable battery values depending on quadrotor endurance. However, this situation can be overcome with the proposed SPSA. Practical implications It is very useful to determine quadrotor endurance, PID coefficients and morphing rate using the optimization method. Social implications Determining quadrotor endurance, PID coefficients and morphing rate using the optimization method provides advantages in terms of time, cost and practicality. Originality/value The proposed method improves quadrotor endurance. In addition, with the SPSA optimization method and ANN, the parameters required for endurance will be obtained faster and more securely. In addition, the energy density according to the battery weight also contributes to the clean environment and energy efficiency.
AtıfWoS40OpenAlex43İncele - MakaleAçık Erişim2021Scopus SJRQ2Finding the optimum parameter values of the round robin CPU scheduling algorithm with genetic algorithm; [Döner çekirdek CPU tarifeleme algoritmasinin optimum parametre deǧerlerinin genetik algoritma ile bulunmasi]
Ökdem, Selçuk; Koşmaz, Betül
With the use of computers in every field, the usage intensity of processors is increasing day by day. In order to cope with this intensity, processors need to be constantly updated and improved. Various scheduling algorithms are being developed every day in order to continuously improve and accelerate the processors and to cope with the processing intensity. The main purpose of the scheduling algorithms is to increase the efficiency of the processor. For this, the processor needs to make a planning between the pending processes. Planning can be done by giving different priorities or using different methods. In order to increase the efficiency of the processor, in this paper, existing algorithms were examined. Round Robin Algorithm was improved using Genetic Algorithm. It is aimed to find the optimum values by selecting the quantum value according to the pending processes and their parameters. When the developed new method compared with the existing standard algorithms, it is observed that the waiting time and the turnaround time were shorter than the other algorithms.
- MakaleAçık Erişim2021Scopus SJRQ1A single-valued neutrosophic multicriteria group decision approach with DPL-TOPSIS method based on optimization
Rıdvan, Şahin; Fuat, Aslan; Gökçe Dilek, Küçük
Due to the uncertainty of human subjective judgments, it is sometimes very difficult to obtain accurate evaluation information. The technique for order preference by similarity to ideal solution (TOPSIS) is one of the functional methods used to solve the multicriteria decision-making (MCDM) problems. However, the traditional TOPSIS is based only on a distance measure and takes into account neither a similarity measure nor a likelihood measure. Therefore, in this article, we define two new information measures which are called as the projection and divergence and more functional than some other existing ones in the neutrosophic sets. Then we develop an innovative TOPSIS (DPL-TOPSIS) based on the hybrid closeness coefficient which is an optimization of the divergence (distance), projection (similarity), and likelihood (magnitude) closeness coefficients that can also use separately to make the decision in neutrosophic environment. To develop the DPL-TOPSIS, we define three kinds of analogical factors: the distance-like positive and negative divergence decision-making factors, the similarity-like positive and negative projection decision-making factors, and the magnitude-like positive and negative likelihood decision-making factors. In addition, we provide an objective weight determination model to determine expert judgment with the proposed divergence measure. Finally, to demonstrate the functionality of the developed DPL-TOPSIS, an application has been made on selection of the masks used as one of the protection methods in the COVID-19 epidemic, which has recently affected our world, and the results are compared with other existing methods.
AtıfScopus21WoS10OpenAlex14İncele - MakaleYalnız künye2020Scopus SJRQ2Simultaneous quadrotor autopilot system and collective morphing system design
Kose, Oguz; Oktay, Tugrul
Purpose: The purpose of this paper is to design a quadrotor with collective morphing using the simultaneous perturbation stochastic approximation (SPSA) optimization algorithm. Design/methodology/approach: Quadrotor design is made by using Solidworks drawing program and some mathematical performance relations. Modelling and simulation are performed in Matlab/Simulink program by using the state space model approaches with the parameters mostly taken from Solidworks. Proportional integral derivative (PID) approach is used as control technique. Morphing amount and the best PID coefficients are determined by using SPSA algorithm. Findings: By using SPSA algorithm, the amount of morphing and the best PID coefficients are determined, and the quadrotor longitudinal and lateral flights are made most stable via morphing. Research limitations/implications: It takes quite a long time to model the quadrotor in Solidworks and Matlab/Simulink with the state space model and using the SPSA algorithm. However, this situation is overcome with the proposed model. Practical implications: Optimization with SPSA is very useful in determining the amount of morphing and PID coefficients for quadrotors. Social implications: SPSA optimization method is useful in terms of cost, time and practicality. Originality/value: It is released to improve performance with morphing, to determine morphing rate with SPSA algorithm and to determine PID coefficients accordingly.
AtıfScopus67WoS64OpenAlex70İncele - Yüksek Lisans TeziAçık Erişim2015Türkiye geneline dağıtılacak olan araçların dağıtım maliyetlerinin optimizasyonu: Ulaştırma modeli uygulaması
Halil İbrahim Şen
İktisat ile ilgili tanımlama yapılırken genelde "ihtiyaçların sonsuz, kaynakların ise sonlu" olduğundan söz edilir. Bu nedenle verimlilik hayatın her noktasında fazlaca riayet edilmesi gereken düsturlardan olmuştur. Bazen üretim enstrümanlarında ya da diğer tüm değişkenlerde herhangi bir değişiklik yapmadan sadece verimlilikle ilgili çalışma yapılarak aynı kaynakla daha fazla ihtiyaç karşılanabilir. Aynı ihtiyacı daha az kaynakla gidermek te bahsedilen duruma farklı açıdan bir örnektir. Bu bağlamda bir örnek teşkil edebilecek Tez çalışmamızda, çalışmaya konu olan ihtiyaç yine karşılanmış ama hem sorumluluk konusunda eşit dağıtım yapılarak adalet sağlanmış hem de aynı iş daha az kaynakla tamamlanmıştır. Çalışmamızın ikinci kısmında Doğrusal Programlama üçüncü kısmında ise Ulaştırma Modeli hakkında geniş malumat verildikten sonra üçüncü kısımda anlatılan yöntem probleme uygulanmıştır. Problemin çözümü aşamasında optimal çözüme ulaşmak için WINQSB paket programı kullanılmıştır. Elde edilen sonuçlara göre aynı iş için harcanan kaynak miktarında %12'lik bir iyileşme ile beraber işlerin daha organize ve hızlı şekilde yürümesini sağlayacak bir dağıtım tesis edilmiştir.
- MakaleAçık Erişim2014Scopus SJRQ1Simplex lattice mixture design approach on physicochemical and sensory properties of wheat chips enriched with different legume flours: An optimization study based on sensory properties
Kayacier, Ahmed; Yüksel, Ferhat; Karaman, Safa
In this study, physicochemical and sensory characteristics of wheat chips enriched with different legume flours were investigated. Wheat chips formulations were composed with the mixture of wheat flour and the mixture of three different legume flours (wheat-legume ratio 80:20). Mixture design approach was used to determine the effect of interactions between pea, chickpea and soy flour on the physicochemical and sensory properties of chips produced with wheat-legume flour mixture. In addition, product optimization was carried out by using ridge analysis to determine the optimum legume flour mixture proportions based on sensory properties of chips samples. Chickpea flour was found to be highest desired component depending on the general acceptability scores of chips. Protein content of chips increased significantly with the addition of soy flour. Optimum limit values of chickpea, pea and soy flour in the legume flour mixture used for the enrichment of the wheat chips were found to be 50-100 g/100 g, 0-60 g/100 g and 0-45 g/100 g legume flour, respectively, with respect to sensory properties. Additionally, ridge analysis results showed that the wheat chips should include only chickpea flour in the legume flour fraction to obtain maximum overall preference score (6.08).
AtıfScopus29WoS31OpenAlex30İncele - MakaleYalnız künye2014Scopus SJRQ1Response Surface Methodology Study for Optimization of Effects of Fiber Level, Frying Temperature, and Frying Time on Some Physicochemical, Textural, and Sensory Properties of Wheat Chips Enriched with Apple Fiber
Kayacier, Ahmed; Yüksel, Ferhat; Karaman, Safa
In this study, wheat chips enriched with apple fiber were produced, and response surface methodology was used for the determination of the simultaneous effects of processing variables selected as fiber level (0-15 %), frying temperature (160-180 °C), and frying time (40-60 s) on some physicochemical, textural, and sensorial properties of chips. Ridge analysis was conducted to determine the optimum levels of processing variables. Predictive regression equations with high coefficient of determination (R 2 ≥ 0.728) were constructed. Addition of apple fiber increased the dry matter; ash content; L, a, and b values of samples, while increase of frying temperature caused decrease of the hardness values. Overall acceptability of chips enriched with apple fiber decreased with the increase of frying temperature, but wheat chips enriched with apple fiber and fried at low temperatures received highest sensory score. Ridge analysis showed that maximum taste score would be attained at fiber level = 15 %, frying temperature = 170 °C and frying time = 40 s.
AtıfScopus26WoS21OpenAlex26İncele - MakaleYalnız künye2011Scopus SJRQ1Weight minimization of trusses with genetic algorithm
Dede, Tayfun; Bekiroglu, Serkan; Ayvaz, Yusuf
This study is concerned with encoding types such as value encoding and binary encoding for continuous and discrete optimization with a GA, which is coded in FORTRAN and considers stress and displacement constraints, in view of weight minimization of truss structures. Moreover, when continuous optimization is performed, the challenge of huge search space due to the effort of considering continuous set of design variables is overcame by a mechanism introduced as restricted range approach (RRA) in this study. In comparison with the literature, it is concluded that the program developed in this study can be effectively used in the weight minimization of truss structures. It is also came to the conclusion that value encoding overcomes the adverse effects of Hamming-cliff, and that value encoding requires less computer memory and time, never destroys the fit chromosome. (C) 2010 Elsevier B.V. All rights reserved.
AtıfWoS68OpenAlex94İncele
