An efficient store layout presents merchandise to attract customer attention and encourages custo... more An efficient store layout presents merchandise to attract customer attention and encourages customers to walk down more aisles which exposes them to more merchandise, which has been shown to be positively correlated with the sales. It is one of the most effective in-store marketing tactics which can directly influence customer decisions to boost store sales and profitability. The recent development of Artificial Intelligence techniques, especially with its sub-fields in Computer Vision and Deep Learning, has enabled retail stores to take advantage of existing CCTV infrastructure to extract in-store customer and business insights. This research aims to conduct a comprehensive review on existing approaches in store layout design and modern AI techniques that can be utilized in the layout design task. Based on this review, we propose an AI-powered store layout design framework. This framework applies advanced AI and data analysis techniques on top of existing CCTV video surveillance in...
Real-time route tracking is an important research topic for autonomous vehicles used in industria... more Real-time route tracking is an important research topic for autonomous vehicles used in industrial facilities. Traditional methods such as copper line tracking on the ground, wireless guidance systems, and laser systems are still used in route tracking. In this study, a deep-learning-based floor path model for route tracking of autonomous vehicles is proposed. A deep-learning floor path model and algorithm have been developed for highly accurate route tracking, which avoids collisions of vehicles and follows the shortest route to reach the destination. The floor path model consists of markers. Routes in the floor path model are created by using these markers. The floor path model is transmitted to autonomous vehicles as a vector by a central server. The server dispatches the target marker address to the vehicle to move. The vehicle calculates all possible routes to this address and chooses the shortest one. Marker images on the selected route are processed using image processing and...
Academic Platform Journal of Engineering and Science, 2020
Birden fazla değişkenin olduğu iş gücü talep eşleştirmesi problemlerinde en uygun eşleştirmenin y... more Birden fazla değişkenin olduğu iş gücü talep eşleştirmesi problemlerinde en uygun eşleştirmenin yapılması oldukça uzun ve zorlu bir süreçtir. İş gücü ve talebin dengeli dağılımı sadece iş hayatında değil eğitim hayatında da önemli bir yere sahiptir. Bu çalışmada Sakarya Üniversitesi Endüstri Mühendisliği Bölümü'nde uygulanan Uygulamalı Mühendislik Deneyimi Eğitimi (UMDE) programındaki öğrencilerin en uygun işletmeye atanması hedeflenmiştir. Bu amaçla hem öğrenci bilgi ve deneyimi hem de firma talepleri dikkate alınmıştır. Problemin çok değişkenli bir problem olması ve bu değişkenlerin kesin değerleri olmamasından dolayı Bulanık Mantık yaklaşımı kullanılmıştır. MATLAB yazılımı ile yapılan değerlendirmeler MS Excel programında işlenerek atama işlemi tamamlanmıştır.
Sakarya University Journal of Computer and Information Sciences, 2019
In terms of safety of the social life, it is very important to foresee the crimes and take the ne... more In terms of safety of the social life, it is very important to foresee the crimes and take the necessary precautions before the crime is committed. For this purpose, crime analysis should be carried out in order for security units to take necessary measures. In this regard, the data mining approach makes a significant contribution to the security units in the analysis of large data. In this context, different data analysis methods are used to estimate and identify potential crime areas. By using dual clustering methods in the detection of crime zones, clustering of crime areas and crime types at the same time provides more comprehensive results than traditional clustering methods. In this study, CC and Xmotif algorithms were used on the data set of "Crimes in Boston" to determine the crime sites by using data mining approach. The results were obtained by using R-project 3.5.3 software. It was found that CC algorithm gives better results for this data set than Xmotif algorithm.
Journal of Marine Technology and Environment, 2022
Purpose: In the last few decades, there has been an increasing growth in research into the use of... more Purpose: In the last few decades, there has been an increasing growth in research into the use of positioning technologies in open environments. Most of the technologies developed for outdoor environments are used successfully, however, they cannot be considered as fully successful indoors. In this context, various technologies based on Radio Frequency, Infrared, Ultrasound, Magnetic, Optical, and computer vision are proposed to improve positioning indoors. In addition to their individual use, it is also seen in hybrid applications. In particular, Radio Frequency based technologies have potential use in shipyard environments. For this purpose, technologies such as Bluetooth, Ultra broadband, Wireless Sensor Network, Wireless Local Area Network, Radio Frequency Recognition and Near Field Communication are seen as suitable technology options for shipyards. The indoor positioning system is a technology that has the potential to significantly improve work efficiency and safety in the sh...
2021 5th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT), 2021
The shipyard industry, like other industries, is struggling to implement the principles of Indust... more The shipyard industry, like other industries, is struggling to implement the principles of Industry 4.0 to shipyards in order to keep up with the challenges, and to realize Shipyard 4.0 in their own industry. Establishing a comprehensive positioning system to determine the positions of all living and non-living things in the shipyards and to follow their movements forms the basis of these studies. An advanced indoor positioning and tracking system can increase shipyards' efficiency, productivity and safety. SEDEF Shipyard, one of the largest shipbuilders in Turkey, is in a transformation to implement Shipyard 4.0 and to keep up with the challenges. In this context, this article primarily provides a comprehensive analysis of the shipyard environment. From this analysis, the basic hardware and software technical requirements regarding which indoor positioning system would be more suitable for shipyards are determined. Next, an integrated evaluation model is developed with a fuzzy AHP and fuzzy TOPSIS for the selection of positioning technology that allows the delivery of advanced services at the SEDEF shipyard. With the model, it is aimed to determine the most suitable technology for SEDEF shipyard by evaluating different technology options.
Gazi Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi, 2021
Capacitated vehicle routing problem with pickup or delivery is considered Initial solution me... more Capacitated vehicle routing problem with pickup or delivery is considered Initial solution method developed with fuzzy cmeans is developed for the problem Performance of the model is tested on test instances In this study, the initial solution of Simulated Annealing method is improved with Fuzzy c-means. The vehicle routing problem with capacitated aims to determine the optimal set of routes for a fleet of vehicles serving customers with various demand. This method, which is used to find overlapping clusters through data, has a flexible structure and has a better classification ability than other clustering algorithms. Figure A. Final solution of 13 cluster vehicle routing problem Purpose: The aim of this study is to obtain efficient solution procedures for the vehicle routing problems for which minimization of route distances is of importance. Theory and Methods: Metaheuristic methods are sensitive to the initial solution. So the nodes were clustered with the Fuzzy c means to improve the initial solution. The result from here is given as an input to the Simulation Annealing algorithm. The routing problem of the capacity vehicle has been solved. Results: Both the accuracy and the efficiency of the developed method are proven by the computational results. Conclusion: In this paper, a vehicle routing problem with capacitated is addressed. Solution procedures which are able to find good feasible solutions within a small amount of time are obtained. This method can be used when small and complex problems need to be solved. Proposed mathematical model and heuristic algorithm give better results.
GPS (Global Positioning Systems), which have been successfully used to locate and track assets in... more GPS (Global Positioning Systems), which have been successfully used to locate and track assets in open areas, cannot show the same performance in closed environments. In cases where GPS cannot provide accurate enough data indoors, indoor positioning systems (IMKS) are being developed. These technologies provide services based on Infrared, Ultrasonic sound and Radio frequency based technologies. Each of indoor positioning technologies suited to be used for specific purposes, although the areas of the shipyard in difficult conditions like all living and inanimate objects required for positioning and monitoring the accuracy, reliability, cost, energy consumption, scalability, and developed a technology that allows other requests could not be convenient. Some technologies perform very well in Energy consumption, while others may be better in terms of coverage area. Therefore, the choice of indoor positioning technology comes across as a multipurpose decision problem. Among the IMK technologies for shipyard sites with heavy and large medal blocks and other signal interrupting obstacles, it seems that radio frequency-based systems may be more suitable from the point of view of the shipyard site than other technologies. Therefore, in this article, a multi-criteria decision model is being developed to determine which radio-based technologies will be used as Indoor Positioning Technology in Shipyards, and the problem is being solved with Fuzzy MULTIMOORA and Fuzzy COPRAS Methods. An application is being carried out at the SEDEF shipyard.
GPS (Global Positioning Systems), which have been successfully used to locate and track assets in... more GPS (Global Positioning Systems), which have been successfully used to locate and track assets in open areas, cannot show the same performance in closed environments. In cases where GPS cannot provide accurate enough data indoors, indoor positioning systems (IMKS) are being developed. These technologies provide services based on Infrared, Ultrasonic sound and Radio frequency based technologies. Each of indoor positioning technologies suited to be used for specific purposes, although the areas of the shipyard in difficult conditions like all living and inanimate objects required for positioning and monitoring the accuracy, reliability, cost, energy consumption, scalability, and developed a technology that allows other requests could not be convenient. Some technologies perform very well in Energy consumption, while others may be better in terms of coverage area. Therefore, the choice of indoor positioning technology comes across as a multipurpose decision problem. Among the IMK technologies for shipyard sites with heavy and large medal blocks and other signal interrupting obstacles, it seems that radio frequency-based systems may be more suitable from the point of view of the shipyard site than other technologies. Therefore, in this article, a multi-criteria decision model is being developed to determine which radio-based technologies will be used as Indoor Positioning Technology in Shipyards, and the problem is being solved with Fuzzy MULTIMOORA and Fuzzy COPRAS Methods. An application is being carried out at the SEDEF shipyard.
Günümüzde bir banka şubesini karlı bir biçimde yönetmek geçmiştekinden daha güç bir hal almıştır.... more Günümüzde bir banka şubesini karlı bir biçimde yönetmek geçmiştekinden daha güç bir hal almıştır. Teknolojinin gelişmesiyle birlikte müşterilerin talepleri karşılamak daha kolay hale gelmiştir. Bu yönde, yalın düşünce bankalara büyük kolaylık sağlamaktadır. Yalın düşünce pek çok alanda başarıyla uygulanmasına rağmen, bankacılık alanında yeterince uygulanmadığı görülmektedir. Bu nedenle yalın düşüncenin bankacılık uygulamalarına da uyarlanması gerekmektedir. Bu çalışmanın amacı, yalın düşüncenin bankacılık alanında uygulanmasıyla bankaların hizmet ve kalite seviyelerinin arttırılmasıdır. Üretim ortamında yapılan uygulamaları doğrudan bankacılık sektörüne uyarlamak yetersiz olacaktır. Bu çalışmada, yalın uygulama yöntemlerinin bankacılık sektörüne uyarlanması ve bir benzetim çalışması yapılmıştır. Benzetim çalışmasıyla bankacılık sektöründeki israf olarak nitelendirilen faaliyetler en aza indirilmeya çalışılmıştır. Simülasyon modelinde hizmet sektöründe yer alan ve katma değer yaratmayan faaliyetlerin gözlenmesi sağlanmış, yalın düşüncenin yardımıyla atıklar önlenmiştir.
Düzce Üniversitesi Bilim ve Teknoloji Dergisi, 2020
Parkinson hastalığı (PH), dopamin üreten beyin hücrelerinin ölmesiyle ya da zarar görmesiyle orta... more Parkinson hastalığı (PH), dopamin üreten beyin hücrelerinin ölmesiyle ya da zarar görmesiyle ortaya çıkan bir beyin hastalığıdır. Böyle bir durumda, beyin normal fonksiyonlarını yerine getiremez. PH, konuşma, yürüme ve yazma gibi insan hareketlerini olumsuz olarak etkiler. Bu hastalığın teşhisinde detaylı tıbbi öykü, geçmiş tedavi öyküsü, fiziksel testler ve bazı kan testleri ile beyin filmleri istenilmektedir. Bu işlemler maliyetli ve meşakkatli olabildiği için daha az maliyetli ve daha kolay yapılabilen teşhis bu noktada önem kazanmaktadır. Bu çalışmada doktorun kararına destek olabilmesi için 252 bireyden alınan ses verileri ile PH'ın teşhis edilebilmesi amaçlanmıştır. Verilerden daha iyi sonuç alabilmek için bazı ön işlemler uygulanmıştır. Verilerde dengeleme işlemi yapılmış ve sistematik örnekleme metodu ile işleme alınacak veriler belirlenmiştir. Öznitelik seçme algoritması ile özniteliklerin etiket üzerindeki etki gücü hesaplanıp bazı veri grupları oluşturulmuştur. Sınıflandırma algoritmalarından Karar ağacı, Destek Vektör Makineleri ve K En Yakın Komşu Algoritması kullanılıp, performans değerlendirme kriterleribunlar; Doğruluk Oranı, Duyarlılık, Özgünlük, F-Ölçümü, Kappa, Auc-değerlendirilmiştir. En yüksek performans değerine sahip veri grubu ve kullanılan sınıflandırma algoritması belirlenip model oluşturulmuştur. Model en ilgiliden en ilgisize doğru sıralanmış veri setinin %45'inden ve Destek vektör makineleri algoritması kullanılarak oluşturulmuştur. Performans kriterlerinde %85 doğruluk oranı ve diğer kriterlerde de olumlu sonuçlar elde edilmiştir. Böylece PH olma ihtimali olan bireyin ses kayıtlarından oluşturulan veri seti ve uygulanan model yardımı ile doktora tıbbi karar destek sağlanacağı anlaşılmıştır.
Bu calismada uzman sistemlerin ne oldugu ve nerelerde kullanildigi bir uzman sistemin nasil hazi... more Bu calismada uzman sistemlerin ne oldugu ve nerelerde kullanildigi bir uzman sistemin nasil hazirlandigi nasil gelistirildigi incelenmistir.
Global Journal of Computer Sciences: Theory and Research
Industrial Internet of Things is becoming one of the fundamental technologies with the potential ... more Industrial Internet of Things is becoming one of the fundamental technologies with the potential to be widely used in shipyards as in other industries to increase information visibility. This article aims to analyze how to develop an industrial IoT-enabled system that provides visibility and tracking of assets at SEDEF Shipyard, which is in the digital transformation process. The research made use of data from previous studies and by using content analysis, the findings were discussed. Industrial IoT enables the collection and analysis of data for more informed decisions. Based on the findings, sensor data in the shipyard are transmitted to the cloud via connected networks. These data are analysed and combined with other information and presented to the stakeholders. Industrial IoT enables this data flow and monitors processes remotely and gives the ability to quickly change plans as needed. Keywords: Shipyard, Industrial Internet of Things, Cyber-Physical System, Visibility, Asset...
Quality problems and defect products are always issues that have to be considered and eliminated ... more Quality problems and defect products are always issues that have to be considered and eliminated in a manufacturing facility. Human effect in production is considered as one of most important root-cause items regarding defect product and quality problems. The first idea of how to minimize human factor in production has been generated by Shigeo Shingo who is an engineer of Toyota Motor Co. and this idea is named as Poka-Yoke. Poke can be translated as carelessness, absence of mind, undesirable mistake. Yoke is derived from Yokeru and can be translated as remove, elimination. This paper describes human mistakes at mixing operation in rubber industry that causes quality problems and product defect and how to eliminate these problems or defect by applying Poka-Yoke that still running at facility
The quality measurements of drinking water sources are crucial, and the values measured should be... more The quality measurements of drinking water sources are crucial, and the values measured should be checked carefully. The water values are measured at specific intervals at drinking water treatment plant in Kocaeli, Turkey, and a treatment process is performed if the values are not at desired levels. In this study, data mining is applied to data obtained from these measurements, and using the results obtained, it is intended to find a relationship among the attributes. According to results, Chlorine has the biggest effect on Turbidity. With a decision support system to be developed, one can check the values and decide whether the water will be treated or not.
World Academy of Science, Engineering and Technology, International Journal of Computer, Electrical, Automation, Control and Information Engineering, 2016
Karmasik bir sistemin cozumlenebilmesi nedensel dongu diyagramlari kurularak veya sistemin dinami... more Karmasik bir sistemin cozumlenebilmesi nedensel dongu diyagramlari kurularak veya sistemin dinamiklerinin arastirilip incelenerek mumkun olmaktadir. Gunumuzde teknolojinin de gelismesiyle birlikte firmalarin kar elde edebilmeleri icin mevcut sistemlerine cok iyi hakim olup uretim planlamalarini cok iyi bir sekilde yaparak musteri memnuniyetini en ust duzeyde tutmalarina ihtiyaclari vardir. Firmalar ancak bu sekilde rekabet ortaminda ayakta durabileceklerdir. Bu calismada yapilan satis miktarlari uzerinden nasil bir emniyet stogu politikasi belirlenmesi gerektigi, bu sistemin ne gibi dinamiklerden etkilendiginin tespitleri yapilmis ve ongorulerde bulunulmustur. Bir tekstil firmasi icin nedensel dongu diyagrami gelistirilmistir. Bu firmanin emniyet stogu bekleme suresini sistem dinamigi yaklasimiyla simule ederek stok politikasi ortaya konulmustur.
An efficient store layout presents merchandise to attract customer attention and encourages custo... more An efficient store layout presents merchandise to attract customer attention and encourages customers to walk down more aisles which exposes them to more merchandise, which has been shown to be positively correlated with the sales. It is one of the most effective in-store marketing tactics which can directly influence customer decisions to boost store sales and profitability. The recent development of Artificial Intelligence techniques, especially with its sub-fields in Computer Vision and Deep Learning, has enabled retail stores to take advantage of existing CCTV infrastructure to extract in-store customer and business insights. This research aims to conduct a comprehensive review on existing approaches in store layout design and modern AI techniques that can be utilized in the layout design task. Based on this review, we propose an AI-powered store layout design framework. This framework applies advanced AI and data analysis techniques on top of existing CCTV video surveillance in...
Real-time route tracking is an important research topic for autonomous vehicles used in industria... more Real-time route tracking is an important research topic for autonomous vehicles used in industrial facilities. Traditional methods such as copper line tracking on the ground, wireless guidance systems, and laser systems are still used in route tracking. In this study, a deep-learning-based floor path model for route tracking of autonomous vehicles is proposed. A deep-learning floor path model and algorithm have been developed for highly accurate route tracking, which avoids collisions of vehicles and follows the shortest route to reach the destination. The floor path model consists of markers. Routes in the floor path model are created by using these markers. The floor path model is transmitted to autonomous vehicles as a vector by a central server. The server dispatches the target marker address to the vehicle to move. The vehicle calculates all possible routes to this address and chooses the shortest one. Marker images on the selected route are processed using image processing and...
Academic Platform Journal of Engineering and Science, 2020
Birden fazla değişkenin olduğu iş gücü talep eşleştirmesi problemlerinde en uygun eşleştirmenin y... more Birden fazla değişkenin olduğu iş gücü talep eşleştirmesi problemlerinde en uygun eşleştirmenin yapılması oldukça uzun ve zorlu bir süreçtir. İş gücü ve talebin dengeli dağılımı sadece iş hayatında değil eğitim hayatında da önemli bir yere sahiptir. Bu çalışmada Sakarya Üniversitesi Endüstri Mühendisliği Bölümü'nde uygulanan Uygulamalı Mühendislik Deneyimi Eğitimi (UMDE) programındaki öğrencilerin en uygun işletmeye atanması hedeflenmiştir. Bu amaçla hem öğrenci bilgi ve deneyimi hem de firma talepleri dikkate alınmıştır. Problemin çok değişkenli bir problem olması ve bu değişkenlerin kesin değerleri olmamasından dolayı Bulanık Mantık yaklaşımı kullanılmıştır. MATLAB yazılımı ile yapılan değerlendirmeler MS Excel programında işlenerek atama işlemi tamamlanmıştır.
Sakarya University Journal of Computer and Information Sciences, 2019
In terms of safety of the social life, it is very important to foresee the crimes and take the ne... more In terms of safety of the social life, it is very important to foresee the crimes and take the necessary precautions before the crime is committed. For this purpose, crime analysis should be carried out in order for security units to take necessary measures. In this regard, the data mining approach makes a significant contribution to the security units in the analysis of large data. In this context, different data analysis methods are used to estimate and identify potential crime areas. By using dual clustering methods in the detection of crime zones, clustering of crime areas and crime types at the same time provides more comprehensive results than traditional clustering methods. In this study, CC and Xmotif algorithms were used on the data set of "Crimes in Boston" to determine the crime sites by using data mining approach. The results were obtained by using R-project 3.5.3 software. It was found that CC algorithm gives better results for this data set than Xmotif algorithm.
Journal of Marine Technology and Environment, 2022
Purpose: In the last few decades, there has been an increasing growth in research into the use of... more Purpose: In the last few decades, there has been an increasing growth in research into the use of positioning technologies in open environments. Most of the technologies developed for outdoor environments are used successfully, however, they cannot be considered as fully successful indoors. In this context, various technologies based on Radio Frequency, Infrared, Ultrasound, Magnetic, Optical, and computer vision are proposed to improve positioning indoors. In addition to their individual use, it is also seen in hybrid applications. In particular, Radio Frequency based technologies have potential use in shipyard environments. For this purpose, technologies such as Bluetooth, Ultra broadband, Wireless Sensor Network, Wireless Local Area Network, Radio Frequency Recognition and Near Field Communication are seen as suitable technology options for shipyards. The indoor positioning system is a technology that has the potential to significantly improve work efficiency and safety in the sh...
2021 5th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT), 2021
The shipyard industry, like other industries, is struggling to implement the principles of Indust... more The shipyard industry, like other industries, is struggling to implement the principles of Industry 4.0 to shipyards in order to keep up with the challenges, and to realize Shipyard 4.0 in their own industry. Establishing a comprehensive positioning system to determine the positions of all living and non-living things in the shipyards and to follow their movements forms the basis of these studies. An advanced indoor positioning and tracking system can increase shipyards' efficiency, productivity and safety. SEDEF Shipyard, one of the largest shipbuilders in Turkey, is in a transformation to implement Shipyard 4.0 and to keep up with the challenges. In this context, this article primarily provides a comprehensive analysis of the shipyard environment. From this analysis, the basic hardware and software technical requirements regarding which indoor positioning system would be more suitable for shipyards are determined. Next, an integrated evaluation model is developed with a fuzzy AHP and fuzzy TOPSIS for the selection of positioning technology that allows the delivery of advanced services at the SEDEF shipyard. With the model, it is aimed to determine the most suitable technology for SEDEF shipyard by evaluating different technology options.
Gazi Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi, 2021
Capacitated vehicle routing problem with pickup or delivery is considered Initial solution me... more Capacitated vehicle routing problem with pickup or delivery is considered Initial solution method developed with fuzzy cmeans is developed for the problem Performance of the model is tested on test instances In this study, the initial solution of Simulated Annealing method is improved with Fuzzy c-means. The vehicle routing problem with capacitated aims to determine the optimal set of routes for a fleet of vehicles serving customers with various demand. This method, which is used to find overlapping clusters through data, has a flexible structure and has a better classification ability than other clustering algorithms. Figure A. Final solution of 13 cluster vehicle routing problem Purpose: The aim of this study is to obtain efficient solution procedures for the vehicle routing problems for which minimization of route distances is of importance. Theory and Methods: Metaheuristic methods are sensitive to the initial solution. So the nodes were clustered with the Fuzzy c means to improve the initial solution. The result from here is given as an input to the Simulation Annealing algorithm. The routing problem of the capacity vehicle has been solved. Results: Both the accuracy and the efficiency of the developed method are proven by the computational results. Conclusion: In this paper, a vehicle routing problem with capacitated is addressed. Solution procedures which are able to find good feasible solutions within a small amount of time are obtained. This method can be used when small and complex problems need to be solved. Proposed mathematical model and heuristic algorithm give better results.
GPS (Global Positioning Systems), which have been successfully used to locate and track assets in... more GPS (Global Positioning Systems), which have been successfully used to locate and track assets in open areas, cannot show the same performance in closed environments. In cases where GPS cannot provide accurate enough data indoors, indoor positioning systems (IMKS) are being developed. These technologies provide services based on Infrared, Ultrasonic sound and Radio frequency based technologies. Each of indoor positioning technologies suited to be used for specific purposes, although the areas of the shipyard in difficult conditions like all living and inanimate objects required for positioning and monitoring the accuracy, reliability, cost, energy consumption, scalability, and developed a technology that allows other requests could not be convenient. Some technologies perform very well in Energy consumption, while others may be better in terms of coverage area. Therefore, the choice of indoor positioning technology comes across as a multipurpose decision problem. Among the IMK technologies for shipyard sites with heavy and large medal blocks and other signal interrupting obstacles, it seems that radio frequency-based systems may be more suitable from the point of view of the shipyard site than other technologies. Therefore, in this article, a multi-criteria decision model is being developed to determine which radio-based technologies will be used as Indoor Positioning Technology in Shipyards, and the problem is being solved with Fuzzy MULTIMOORA and Fuzzy COPRAS Methods. An application is being carried out at the SEDEF shipyard.
GPS (Global Positioning Systems), which have been successfully used to locate and track assets in... more GPS (Global Positioning Systems), which have been successfully used to locate and track assets in open areas, cannot show the same performance in closed environments. In cases where GPS cannot provide accurate enough data indoors, indoor positioning systems (IMKS) are being developed. These technologies provide services based on Infrared, Ultrasonic sound and Radio frequency based technologies. Each of indoor positioning technologies suited to be used for specific purposes, although the areas of the shipyard in difficult conditions like all living and inanimate objects required for positioning and monitoring the accuracy, reliability, cost, energy consumption, scalability, and developed a technology that allows other requests could not be convenient. Some technologies perform very well in Energy consumption, while others may be better in terms of coverage area. Therefore, the choice of indoor positioning technology comes across as a multipurpose decision problem. Among the IMK technologies for shipyard sites with heavy and large medal blocks and other signal interrupting obstacles, it seems that radio frequency-based systems may be more suitable from the point of view of the shipyard site than other technologies. Therefore, in this article, a multi-criteria decision model is being developed to determine which radio-based technologies will be used as Indoor Positioning Technology in Shipyards, and the problem is being solved with Fuzzy MULTIMOORA and Fuzzy COPRAS Methods. An application is being carried out at the SEDEF shipyard.
Günümüzde bir banka şubesini karlı bir biçimde yönetmek geçmiştekinden daha güç bir hal almıştır.... more Günümüzde bir banka şubesini karlı bir biçimde yönetmek geçmiştekinden daha güç bir hal almıştır. Teknolojinin gelişmesiyle birlikte müşterilerin talepleri karşılamak daha kolay hale gelmiştir. Bu yönde, yalın düşünce bankalara büyük kolaylık sağlamaktadır. Yalın düşünce pek çok alanda başarıyla uygulanmasına rağmen, bankacılık alanında yeterince uygulanmadığı görülmektedir. Bu nedenle yalın düşüncenin bankacılık uygulamalarına da uyarlanması gerekmektedir. Bu çalışmanın amacı, yalın düşüncenin bankacılık alanında uygulanmasıyla bankaların hizmet ve kalite seviyelerinin arttırılmasıdır. Üretim ortamında yapılan uygulamaları doğrudan bankacılık sektörüne uyarlamak yetersiz olacaktır. Bu çalışmada, yalın uygulama yöntemlerinin bankacılık sektörüne uyarlanması ve bir benzetim çalışması yapılmıştır. Benzetim çalışmasıyla bankacılık sektöründeki israf olarak nitelendirilen faaliyetler en aza indirilmeya çalışılmıştır. Simülasyon modelinde hizmet sektöründe yer alan ve katma değer yaratmayan faaliyetlerin gözlenmesi sağlanmış, yalın düşüncenin yardımıyla atıklar önlenmiştir.
Düzce Üniversitesi Bilim ve Teknoloji Dergisi, 2020
Parkinson hastalığı (PH), dopamin üreten beyin hücrelerinin ölmesiyle ya da zarar görmesiyle orta... more Parkinson hastalığı (PH), dopamin üreten beyin hücrelerinin ölmesiyle ya da zarar görmesiyle ortaya çıkan bir beyin hastalığıdır. Böyle bir durumda, beyin normal fonksiyonlarını yerine getiremez. PH, konuşma, yürüme ve yazma gibi insan hareketlerini olumsuz olarak etkiler. Bu hastalığın teşhisinde detaylı tıbbi öykü, geçmiş tedavi öyküsü, fiziksel testler ve bazı kan testleri ile beyin filmleri istenilmektedir. Bu işlemler maliyetli ve meşakkatli olabildiği için daha az maliyetli ve daha kolay yapılabilen teşhis bu noktada önem kazanmaktadır. Bu çalışmada doktorun kararına destek olabilmesi için 252 bireyden alınan ses verileri ile PH'ın teşhis edilebilmesi amaçlanmıştır. Verilerden daha iyi sonuç alabilmek için bazı ön işlemler uygulanmıştır. Verilerde dengeleme işlemi yapılmış ve sistematik örnekleme metodu ile işleme alınacak veriler belirlenmiştir. Öznitelik seçme algoritması ile özniteliklerin etiket üzerindeki etki gücü hesaplanıp bazı veri grupları oluşturulmuştur. Sınıflandırma algoritmalarından Karar ağacı, Destek Vektör Makineleri ve K En Yakın Komşu Algoritması kullanılıp, performans değerlendirme kriterleribunlar; Doğruluk Oranı, Duyarlılık, Özgünlük, F-Ölçümü, Kappa, Auc-değerlendirilmiştir. En yüksek performans değerine sahip veri grubu ve kullanılan sınıflandırma algoritması belirlenip model oluşturulmuştur. Model en ilgiliden en ilgisize doğru sıralanmış veri setinin %45'inden ve Destek vektör makineleri algoritması kullanılarak oluşturulmuştur. Performans kriterlerinde %85 doğruluk oranı ve diğer kriterlerde de olumlu sonuçlar elde edilmiştir. Böylece PH olma ihtimali olan bireyin ses kayıtlarından oluşturulan veri seti ve uygulanan model yardımı ile doktora tıbbi karar destek sağlanacağı anlaşılmıştır.
Bu calismada uzman sistemlerin ne oldugu ve nerelerde kullanildigi bir uzman sistemin nasil hazi... more Bu calismada uzman sistemlerin ne oldugu ve nerelerde kullanildigi bir uzman sistemin nasil hazirlandigi nasil gelistirildigi incelenmistir.
Global Journal of Computer Sciences: Theory and Research
Industrial Internet of Things is becoming one of the fundamental technologies with the potential ... more Industrial Internet of Things is becoming one of the fundamental technologies with the potential to be widely used in shipyards as in other industries to increase information visibility. This article aims to analyze how to develop an industrial IoT-enabled system that provides visibility and tracking of assets at SEDEF Shipyard, which is in the digital transformation process. The research made use of data from previous studies and by using content analysis, the findings were discussed. Industrial IoT enables the collection and analysis of data for more informed decisions. Based on the findings, sensor data in the shipyard are transmitted to the cloud via connected networks. These data are analysed and combined with other information and presented to the stakeholders. Industrial IoT enables this data flow and monitors processes remotely and gives the ability to quickly change plans as needed. Keywords: Shipyard, Industrial Internet of Things, Cyber-Physical System, Visibility, Asset...
Quality problems and defect products are always issues that have to be considered and eliminated ... more Quality problems and defect products are always issues that have to be considered and eliminated in a manufacturing facility. Human effect in production is considered as one of most important root-cause items regarding defect product and quality problems. The first idea of how to minimize human factor in production has been generated by Shigeo Shingo who is an engineer of Toyota Motor Co. and this idea is named as Poka-Yoke. Poke can be translated as carelessness, absence of mind, undesirable mistake. Yoke is derived from Yokeru and can be translated as remove, elimination. This paper describes human mistakes at mixing operation in rubber industry that causes quality problems and product defect and how to eliminate these problems or defect by applying Poka-Yoke that still running at facility
The quality measurements of drinking water sources are crucial, and the values measured should be... more The quality measurements of drinking water sources are crucial, and the values measured should be checked carefully. The water values are measured at specific intervals at drinking water treatment plant in Kocaeli, Turkey, and a treatment process is performed if the values are not at desired levels. In this study, data mining is applied to data obtained from these measurements, and using the results obtained, it is intended to find a relationship among the attributes. According to results, Chlorine has the biggest effect on Turbidity. With a decision support system to be developed, one can check the values and decide whether the water will be treated or not.
World Academy of Science, Engineering and Technology, International Journal of Computer, Electrical, Automation, Control and Information Engineering, 2016
Karmasik bir sistemin cozumlenebilmesi nedensel dongu diyagramlari kurularak veya sistemin dinami... more Karmasik bir sistemin cozumlenebilmesi nedensel dongu diyagramlari kurularak veya sistemin dinamiklerinin arastirilip incelenerek mumkun olmaktadir. Gunumuzde teknolojinin de gelismesiyle birlikte firmalarin kar elde edebilmeleri icin mevcut sistemlerine cok iyi hakim olup uretim planlamalarini cok iyi bir sekilde yaparak musteri memnuniyetini en ust duzeyde tutmalarina ihtiyaclari vardir. Firmalar ancak bu sekilde rekabet ortaminda ayakta durabileceklerdir. Bu calismada yapilan satis miktarlari uzerinden nasil bir emniyet stogu politikasi belirlenmesi gerektigi, bu sistemin ne gibi dinamiklerden etkilendiginin tespitleri yapilmis ve ongorulerde bulunulmustur. Bir tekstil firmasi icin nedensel dongu diyagrami gelistirilmistir. Bu firmanin emniyet stogu bekleme suresini sistem dinamigi yaklasimiyla simule ederek stok politikasi ortaya konulmustur.
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