Sürdürülebilir Kalkınma Amaçları
Yayınlar
- MakaleAçık Erişim2024İnsansız Hava Araçları ile Orman Yangınlarının Tespitinde Görüntü İşleme ve Yapay Zekâ Tabanlı Otomatik Bir Model
Kökhan, Serhan; Engin, Mustafa Alptekin
Nefes almak için gereksinim duyduğumuz oksijenin büyük bir kısmı, hayatta kalabilmemiz için hayati öneme sahip olan ormanlar tarafından üretilir. Bu yüzden ormanları korumak, içinde yaşadığımız yüzyılın en önemli konu başlıklarından bir tanesidir. Dünyanın farklı coğrafyalarında (ABD, Avustralya vb.) her yıl meydana gelen orman yangınları ciddi ekonomik kayba neden olmakta ve ekosistemi olumsuz olarak etkilemektedir. Ateşin çeşitli renk, şekil ve doku özelliklerine sahip olması orman yangınlarının uzaktan algılanmasını zorlaştırmaktadır. Yapılan bu çalışmada orman yangınlarının tespitinde insansız hava araçları vasıtasıyla tamamen otomatik bir sistem önerilmiştir. Ormanlık arazinin tespitinde uydu görüntüleri üzerine görüntü bölütleme yöntemi kullanılmış, insansız hava aracının tespit edilen bölgeyi en kısa zamanda ve en az görüntü ile kontrol edebilmesi için de küme kaplama yöntemi kullanılmıştır. Daha sonra elde edilen imgeler üretilen yapay zekâya dayalı ateş algılama modeline göre değerlendirilip başlangıç ve ileri aşamadaki yangınlar tespit edilmiş ve konumları elde edilmiştir. Sonuç olarak, yapılan çalışmada yaklaşık %97,51 değerinde doğrulukla yangın tespit eden bir erken uyarı modeli önerilmektedir.
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İncele - MakaleYalnız künye2023Scopus SJRQ2An algorithmic application with flexible airspace approach
Kökhan, Ahmet; Kökhan, Serhan; Gökdalay, Meriç
Purpose: The purpose of this study is to develop an operational level decision support system model for air traffic controllers (ATCos) within the framework of the Flexible Use of Airspace (FUA) concept to enable more efficient use of airspace capacity. This study produces a systematic solution to the route selection process so that the ATCo can determine the most efficient route with an operational decision support system model using Dijkstra’s Shortest Path Algorithm. Design/methodology/approach: In this study, a new decision support system model for ATCos in decision-making positions was recommended and used. ATCos use this model as a main model for determining the shortest and safest route for aircraft as an operational-level decision support system. Dijkstra Algorithm, used in the model, is defined step by step and then explained with the pseudocode. Findings: It has been determined that when the FUA concept and DSS are used while the ATCo chooses a route, significant fuel, time and capacity savings are achieved in flight operations. Emissions resulting from the negative environmental effects of air transportation are reduced, and significant capacity increase can be achieved. The operational level decision support system developed in the study was tested with 55 scenarios on the Ankara–Izmir flight route compared to the existing fixed route. The results for the proposed most efficient route were achieved at 11.22% distance (nm), 9.36%-time (min) savings and 837.71 kg CO2 emission savings. Originality/value: As far as the literature is reviewed, most studies aimed at increasing airspace efficiency produce solutions that try to improve rather than replace the normal process. Considering the literature positioning of this study compared to other studies, the proposed model provides a new systematic solution to the problems that cause human-induced route inefficiency within the framework of the FUA concept.
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İncele - MakaleAçık Erişim2023Analysis of occupational health and safety risks in beekeeping with fmea method
Özdemir, Mustafa; Kökhan, Serhan
Contrary to popular belief, beekeeping, which dates back to prehistoric times and is one of the most important plant and animal production branches today, is not an innocent profession in terms of occupational health and safety. In this study, in order to determine the occupational health and safety risk factors in the beekeeping profession, Interviews with beekeepers were conducted in 10 apiaries operating in Bayburt, where especially wandering beekeeping is practiced. In light of the data obtained from the danger hunt applied by the occupational health and safety specialist, ergonomic, physical, biological, and chemical risks were revealed using the FMEA risk analysis method. The effect, probability, and detection values were found for each failure mode, and then Risk Priority Number values were calculated. As a result of the study, for the five basic stages of beekeeping, 15 processes, 39 failure modes, 72 potential effects, and 39 failure causes were determined. Failure modes with a Risk Priority Number value of 100 and above were evaluated as “situations where urgent action and axiom should be taken,” and preventive axioms were proposed for each relevant failure mode. The number of studies on the risk factors in the beekeeping profession is very limited in the literature. For this reason, it is predicted that this study will fill an important gap in the related field and make significant contributions to the literature.
AtıfScopus3OpenAlex3İncele - Kitap BölümüAçık Erişim2021Parallel Assembly Lines with Heterogeneous Workforce: A Cost-Driven Mathematical Model and Simulated Annealing Approach
Kökhan, Serhan; Baykoç, Ömer Faruk; Xu, J; Marquez, FPG; Hassan, MHA; Duca, G; Hajiyev, A; Altiparmak, F
In recent years it has become possible for people, machines and robots to work collaboratively in most production environments. Collaborative working models, which are diversified with the concept of Industry 4.0, have become an important issue in Assembly Line Problems (ALP). In this study, a cost-driven mathematical model which combines Parallel Assembly Line Problems and human and robot collaborative workforce which is an important parameter of Industry 4.0 philosophy is proposed. The mathematical model was tested for new data sets derived from existing data sets in the parallel assembly lines literature and the results were analyzed. Because of the NP-hardness of ALP, a heuristic approach based Simulated Annealing (SA) algorithm was proposed to solve for larger sized problems. For this purpose, the same data sets were solved with SA and the results were compared and analyzed. The results show that the mathematical model gives better results up to Tonge data set (140 task), but feasible solutions can only be obtained by SA algorithm for the rest. Since there are very few studies with heterogeneous workforce in Parallel Assembly Line Balancing Problems (PALBP), this study is believed to provide a significant contribution to related literature.
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