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Öğe Akıllı sözleşme platformlarının gelişimi: güncel trendlere ve gelecek yönlere bir bakış(2023) Timuçin, Tunahan; Biroğul, SerdarBlockchain tabanlı akıllı sözleşmeler, çeşitli ticari faaliyetleri otomatikleştirebilen kendi kendine çalışan bilgisayar programlarıdır. Şu anda, bu merkezi olmayan uygulamaların çoğu Polkadot, Cardano ve Ethereum gibi akıllı sözleşme platformları kullanılarak geliştirilmektedir. Bu makale, mevcut teknolojik gelişmeleri ve gelecekteki olası uygulamaları analiz etmenin yanı sıra, akıllı sözleşme platformlarının tarihsel bir incelemesini sunar. Çalışma, blockchain tabanlı uygulamaları desteklemek ve merkezi olmayan finansı (DeFi) etkinleştirmek için akıllı sözleşme platformlarının önemini vurguluyor. Ayrıca, katman-2 ölçeklendirme çözümlerinin ortaya çıkışına, değiştirilemez tokenlerin (NFT'ler) tanıtımına ve farklı akıllı sözleşme platformları arasında artan birlikte çalışabilirlik ihtiyacına bakar. Makale ayrıca çok zincirli akıllı sözleşmelerin potansiyeline, kuantum hesaplamanın etkilerine, AI ve ML teknolojilerinin akıllı sözleşme platformlarıyla entegrasyonuna ve akıllı sözleşme platformlarının merkezi olmayan özerk kuruluşları (DAO'lar) destekleme potansiyeline de bakıyor. Akıllı sözleşme platformlarını genişletmenin zorlukları, akıllı sözleşmelerin oluşturulmasında tekdüzelik gerekliliği ve akıllı sözleşme platformlarının sağlık, emlak ve tedarik zinciri yönetimi gibi sektörlerde devrim yaratma potansiyeli de ele alınmaktadır. Rapor, akıllı sözleşme platformlarında devam eden yenilik ve geliştirmenin, sona yaklaşırken blok zincir ekosisteminin genişletilmesi için önemini vurgulamaktadır.Öğe Biyometrik veri birleştirme yöntemleri(Düzce Üniversitesi, 2018) Durgut, Aykut; Biroğul, SerdarBiyometrik yetkilendirme yöntemlerinde tekbiyometrik veri yetersiz kalmaktadır. Bu yüzden birden fazla biyometrik verikullanılmaktadır. Birden fazla kullanılan biyometrik verinin korunmasında iseçeşitli birleştirme yöntemleri ile tek şablon oluşturulmaktadır. Bu çalışmada,literatürdeki biyometrik birleştirme yöntemleri incelenerek avantajları vesınırlılıkları belirlenmiştir. Aynı zamanda biyometrik birleştirme yöntemleriiçin öneriler sunulmuştur.Öğe BOOSTING ALGORİTMALARI KULLANARAK SALDIRI TESPİT SİSTEMLERİ SINIFLANDIRMADA AÇIKLANABİLİR YAPAY ZEKA UYGULAMASI(Mugla Sitki Kocman University, 2024) Atagün, Ercan; Temür, Günay; Biroğul, Serdarİnternete erişimin kolaylaşması ve hız oranlarının artması ile birlikte internete bağlı cihazlara erişimi de arttırmaktadır. İnternet kullanıcıları yetkili oldukları veya yetkilendirilmedikleri birçok cihaza erişebilirler. Kullanıcıların yetkisiz erişime sahip olup olmadığını tespit eden bu sistemlere Saldırı Tespit Sistemleri denir. Saldırı tespit sistemleri ile kullanıcıların erişimleri sınıflandırılır ve normal bir giriş mi yoksa bir anormallik mi olduğu belirlenir. Makine öğrenimi yöntemleri bu sınıflandırma görevini üstlenir. Özellikle Boosting algoritmaları, yüksek sınıflandırma performansları ile öne çıkmaktadır. Gradient Boosting algoritmasının Saldırı Tespit Sistemleri problemi için önerilen diğer yöntemlere göre dikkate değer bir sınıflandırma performansı sağladığı gözlemlenmiştir. Python programlama dili kullanılarak Gradient Boost ve Adaboost algoritmaları ile tahmin yapılmış ve ardından model SHAPASH ile açıklanmıştır. SHAPASH, makine öğrenmesi modellerinin herkes tarafından yorumlanabilir ve anlaşılır hale getirmeyi hedeflemektedir. Saldırı Tespit Sistemleri için yorumlanabilir ve açıklanabilir bir yaklaşım sunulması siber güvenlik alanında önemli tedbirlerin alınmasında katkı sağlamaktadır. Bu çalışmada Boosting algoritmaları kullanılarak sınıflandırma yapılmış ve Açıklanabilir Yapay Zeka yaklaşımlarından biri olan SHAPASH ile oluşturulan tahmin modeli anlatılmıştır.Öğe Collaborative Smart Contracts (CoSC): example of real estate purchase and sale(s)(Springer, 2023) Timuçin, Tunahan; Biroğul, SerdarThe emergence of blockchain technology has opened up opportunities for innovative solutions in various fields. One of these solutions is the concept of smart contracts(SCs), which can automate the execution of contract terms and conditions. In this paper, we introduce Collaborative Smart Contracts (CoSC), a novel approach that combines the benefits of smart contracts and collaborative decision-making. CoSC allows multiple parties to participate in the contract execution process, enabling a more transparent and fair system. We present an example of the application of CoSC in the real estate industry, specifically in the purchase and sale of properties. Our proposed approach utilizes a consortium blockchain network to create a secure and decentralized environment for CoSC. The CoSC platform facilitates communication, collaboration, and decision-making between the buyer, seller, and other relevant parties involved in the transaction. We evaluate the performance of the CoSC platform in terms of execution time, benefits, and security. With the CoSC platform, an average of 20+% success is achieved in terms of execution time. Our results demonstrate that CoSC is a promising solution for complex, multi-party transactions and can improve the efficiency, transparency, and trustworthiness of the real estate industry. © 2023, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.Öğe COMPARISON OF THE EFFECTS OF IMAGE SEGMENTATION ON IMAGE PROCESSING PERFORMANCE WITH PARALLEL PROGRAMMING(Yildiz Technical Univ, 2017) Durgut, Aykut; Biroğul, Serdar; Güvenç, UğurIn this study, the difference between parallel programming and serial programming and the differences between whole image processing and image processing by segmentation was tried be to analysed. In the context of the study, to the image given to the application, which improved with Net framework, median, mean and gauss filters were applied by using single, double and 4 as a separate part serial programming and parallel programming methods. As a result of the study experienced in different computers and processors, it was noticed that parallel programming method performed filter processing in a shorter time both in the whole image and the segmented image. We determined that the whole image processing has higher performance than other method for image.Öğe Conference Scheduling with Epigenetic Algorithm(Gazi Univ, 2022) Atagün, Ercan; Biroğul, SerdarThe most important of the activities where the presentations of scientific studies take place are academic conferences. The days, halls, and sessions are determined in advance to organize multidisciplinary conferences and this process is called conference scheduling. In multidisciplinary conferences, in the scheduling of presentations, the coexistence of studies belonging to the same fields in the same sessions is very important for the conference listener and the conference speaker. In this context, the multidisciplinary conference scheduling problem is considered a multi-constraint optimization problem. Multi-constraint optimization problems are solved with heuristic optimization techniques, not traditional optimization methods. In this study, the problem of conference scheduling is addressed using multidisciplinary conference data. The solution to the conference scheduling problem was realized with Genetic Algorithm (GA) and Epigenetic Algorithm (EGA) using C# programming language. In the study, experimental results obtained with GA and EGA were examined. As a result of this examination, it was seen that EGA achieved better results in fewer iterations compared to classical GA.Öğe EpiGenetic Algorithm for Optimization: Application to Mobile Network Frequency Planning(Springer Heidelberg, 2016) Biroğul, SerdarGenetic algorithms (GA) has been used as a successful algorithm for many problems. GA has been redesigned with different methods or used in hybrid algorithms to solve different problems and improve solutions. In this study, epigenetic algorithm (EGA) design has been made by adapting epigenetic concepts to the classical GA structure. GA is counted as a heuristic research algorithm, and there is randomness in the function of genetic operators. However, owing to some serious research in medical field, it has been shown that through the epigenetics, randomness of crossover and mutation operators can be defined. With regards to this information in the field of medicine, in this study design of EGA, how epicrossover, epimutation operators, and epigenetic factors are made and how they do work and also how the epigenetic inheritance is possible have been told. Our designed EGA has been applied on base stations' BCCH frequency planning in GSM network that is a constrained optimization problem. Real base station's data have been used in solving the problem. EGA and GA coding have been made by using C# programming. In order to analyze the success of EGA than the classical GA, both algorithms have been used in solving of this problem. Because of this, EGA gave better results in a shorter time and less iteration than classical GA's.Öğe Hybrid Harris Hawk Optimization Based on Differential Evolution (HHODE) Algorithm for Optimal Power Flow Problem(Ieee-Inst Electrical Electronics Engineers Inc, 2019) Biroğul, SerdarHarri's Hawk Optimization (HHO) algorithm manifests as a new meta-heuristic algorithm in literature. When we look at studies that have used with this algorithm, we can see that its results in test functions and in the solutions of some test functions in IEEE Congress on Evolutionary Computation (CEC) are much better compared to other heuristic and meta heuristic algorithm results. In this study, an algorithm has been developed which has been hybridized with the mutation operators of Differential Evolution (DE) to further improve the HHO algorithm. This algorithm is named as Hybrid Harris Hawk Optimization based on Differential Evolution (HHODE). Performance of the proposed HHODE algorithm has been first compared with HHO and then compared with the results of other algorithms which have been most commonly used in the literature. In this comparison process, the most commonly used test functions in the literature and some of the other test functions in CEC2005 and CEC2017 as a new application field, have been solved. When the results of the comparison of HHODE with other algorithms are analyzed, it is observed that the balance between the exploratory tendency and exploitative tendency of the algorithm is well consistent. Formula 1 ranking method is used in the order of HHODE according to HHO and other algorithms. When a general evaluation of HHODE was performed, it was found to be an even more powerful algorithm as a result of the combination of strong features of both HHO and DE. The optimal power flow (OPF) problem is one of the most important problems of the modern power system. The HHODE algorithm is proposed to solve the OPF problem, which is considered without valve-point effect and prohibited zones (1) and with prohibited zones (2) in this paper. The effectiveness of the HHODE hybrid algorithm is tested on modified IEEE 30-bus test system. The result of HHODE algorithms are compared with other optimization algorithms in the literature.Öğe A hybrid Harrison Hawk optimization based on differential evolution for the node localization problem in IoT networks(Wiley, 2022) Baidar, Lotfi; Rahmoun, Abdellatif; Mihoubi, Miloud; Lorenz, Pascal; Biroğul, SerdarDespite the close of a tumultuous 2020 and the start of 2021, connected devices will continue to shape the future of numerous industries, and businesses are confident that the Internet of Things (IoT) will play a key role in the future success of their trade. The growing Internet of Things (IoT) is connecting devices to a variety of sensors, applications, and other IoT elements to automate business processes and support human efficiencies in business and the home. WSN along with node localization algorithms can play a critical role in IoT applications. Nevertheless, in IoT applications, the context of real-time location-based services is gaining an overwhelming interest. To do this, several approaches are proposed in the recent literature based mainly on computational intelligence algorithms. This paper proposes a node localization algorithm based on swarm intelligence algorithms, that is, a hybrid Harris Hawks optimization based on differential evolution (HHODE).HHODE algorithm relies on Euclidian Distance as objective function to evaluate best-fit coordinates of sensor nodes in a wireless sensor network. Moreover, several experimentations are performed depending on the network size, communication range of sensors, geographical distribution, and the beacon nodes' density to demonstrate the efficiency of the HHODE algorithm. Compared to Standard DE, HOO, PSO, and Bat Algorithm, HHODE shows higher performance with regard to node localization.Öğe Implementation of Operating Room Scheduling with Genetic Algorithm and the Importance of Repair Operator(Ieee, 2018) Timuçin, Tunahan; Biroğul, SerdarIn this paper, problem of optimal utilisation of surgery rooms, which are one of the most significant departments of hospitals. This type of problems are defined as NP-Hard. Solving of NP-Hard type problems cannot be executed through methods based on conventional mathematics previously used. The operation room scheduling problem, which contains numerous constraints, was solved through Genetic Algorithm (GA), one of the most significant heuristic algorithms referred to in this paper. With a purpose to provide visualisation while coding the program, C# programming language was preferred. Importance and effect of using Repair Operator in GA was also investigated.Öğe Importance of Business Intelligence Solution on Decision-Making Process of Companies(İsmail SARITAŞ, 2016) Biroğul, Serdar; Gültekin, Hasan BerkNowadays, many companies meet the needs of data from different data sources in different formats in order to in line with changing business needs. Data is managed and stored in different parts of the system. Business intelligence is the most effective solution that allows to see big picture by integrating all of the distributed data within a storage. Business intelligence has emerged as a natural result of the previous system designed to support the decision-making process. Over time, visual deficiencies discovered in decision support systems, difficulties of usages and mismatch between applications, is one of the major factors in the rise of business intelligence technology. Such solutions are up to date and integrated view of business performance it offers the greatest benefits to decision makers.By increasing centralization of data quality, control and scheduling capabilities have allowed us to take quick and right decisions in the evolving competitive environment. The concept of business intelligence is an important element of taking strategic decisions and implementation point in globalized world. This study has designed by Oracle business intelligence tool and results have been a key element of evaluation in decision making processes of the companies.Öğe Operating Room Scheduling by Using Hybrid Genetic Algorithm(2022) Biroğul, Serdar; Timuçin, TunahanHospitals are among the most important institutions of today. For hospitals, efficient use of operating rooms is of great importance. Efficient use of operating rooms is a problem that needs to be solved. The operating room scheduling problem is a very complex problem with large number of constraints. This type of problem called as NP-Hard type problem. NP-Hard type problems do not consist of polynomial values. Therefore, the solution of these problems is very complex and difficult. Solutions consisting of polynomial values can be solved effectively with existing mathematical methods. However, more effective algorithms were needed to solve NP-hard type problems. As a result of the studies, many heuristic, meta-heuristic algorithms such as Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Taboo Search Algorithm have been developed to solve the complexity of NP-Hard problems. In this article, the operating room scheduling problem solved with a hybrid genetic algorithm. In this solution, it shows how the algorithm affects the solution area in the changes in the number of surgeons, operating rooms and operating room reservations, which are among the operating room parameters. In the developed software, C# programming language has been preferred in order to provide comfortable use of the end user.Öğe Reviewing The Effect of Business Intelligence on Decision Support Process: An Application on The Finance Sector(2020) Gültekin, Hasan Berk; Biroğul, SerdarNowadays, data warehouse (DWH) and the business intelligence enterprise solutions frequently used bycompanies blend the services of reporting, analysis and data mining by rich visual components and provide easy tointerpret and meaningful information for decision makers. This study aims to summarize the bank profit loss andBalance in the corporate data warehouse model using the bottom up methodology at enterprise level. Building a datamart using the bottom up methodology allows; high flexibility and user friendliness, because it is based on theindividual business department (finance) information needs. The other reason this methodology which was preferred, isthat the fundamental concept of dimensional modelling, is the star schema and it also supported by data modellingarchitecture of Oracle OBIEE 11g .One of the main pillars of a bank's pricing policy is to control the profit and loss ofbranches. At the end of application of this concept’s study, Corporate memory became more mature and dependency onpeople was removed in terms of reporting. In addition communication and sharing of information within the financedepartment increased, personal Productivity increased and cost advantage was ensured and the widespread use ofstructural data, the users' confidence on business intelligence solutions increased by new data mart.Öğe Web Ve Mobil Tabanlı Bakım Onarım Ve Varlık Yönetim Sisteminde Önbellekleme Yaklaşımları(2018) Biroğul, Serdar; Koçer, Kenanİşletmeler, bakım-onarım çalışmalarını takip edebilmek için bilgi işlem tabanlısistemlere ihtiyaç duymaktadır. Bakım-onarım sisteminin sorunsuz çalışması içinkaydedilen verilerin ve bu verileri elde edebilmek için yapılan işlemlerin saklanmasıgerekir. İşletme yöneticileri ellerindeki kayıtlı verilerle, sistemlerden çekeceklerigrafikler ve raporlar neticesinde işletmelerin bakım–onarım maliyetlerinidüşürebilmektedirler. Gerçekleştirilen bu çalışmada bakım–onarım sistemininşirketler ve kurumlara uyumlu hale getirilip tamamlanabilmesi için müşteriden gelengeri bildirimler alınmıştır. Bu bildirimlere göre yazılımın geliştirilmesi sağlanmıştır.Yeni modüller eklenmiştir. Entegrasyonlar yapılmıştır. Elektronik imza uygulamasıdahil edilmiştir. Yapılan geliştirmeler doğrultusunda kaydedilecek verilerinyönetilmesi ve sistemin hızının düşmemesi için önbellekleme ihtiyacı ortayaçıkmıştır. Kullanıcıların arayüzlere daha hızlı ulaşması ve sistemi dinamikkullanabilmeleri için AppFabric teknolojisi kullanılarak önbellekleme sağlanmıştır.Yapılan yeni geliştirmelerde sadece kullanıcı değil sistemin geliştiricilerinin deverileri kolay elde edip yönetebilmeleri için AppFabric uygulaması yerine Redisteknolojisine geçilmiştir. Böylece hem sistem geliştiricileri hem son kullanıcılarverileri önbellekten kolayca yönetebileceklerdir.
