Istanbul, Turkey
Istanbul, Turkey

The Turkish Air Force Academy is a four-year co-educational military academy located in the city of Istanbul, Turkey. It is the main human resource for the Turkish Air Force Command.It was founded in 1951, replacing the Army Flight School, with the mandate to train the officers of the Turkish Air Force. The academy provides an engineering education to Air Force cadets from Turkey as well as a number of other countries, and prepares them for careers in their respective Air Forces. TuAFA is recognized by the Turkish Council of Higher Education, as a university accredited to grant engineering degrees. It should not be confused with the Air War College . Since 1992, the Academy has accepted female cadets and allied countries' cadets for enrolment. Accepting cadets not only from Turkey, but also all over the world makes this college very unusual.The aim of the academy is to produce officers who have;The qualities required in a soldierCommandership, management and leadership skillsMilitary and general knowledgeMorally and mentally developed personalityPhysical competence required for conditions of aviationWith its core values, the college seeks to develop officer candidates' integrity, bravery and honour. Wikipedia.


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Sahingoz O.K.,Turkish Air force Academy
Journal of Systems Architecture | Year: 2013

Cyber-Physical Systems (CPSs) have emerged as a promising approach to facilitate the integration of the cyber and physical worlds in highly interconnected and complex ways. CPSs consist of several components, such as sensors, actuators, controllers, etc., and their structures are being complicated, and their scales are increasing day by day. Therefore, the data reliability and security have emerged as critical challenges between physical and virtual components of these systems. Wireless Sensor Networks (WSNs) are accepted as one of the most crucial technologies for building future CPSs. Because of their wireless and dynamic nature, WSNs are more vulnerable to security attacks than wired networks. The main solution for this problem is the usage of signed messages with symmetric or asymmetric key cryptography. Although, asymmetric key cryptography increases network security, it also causes severe computational, memory, and energy overhead for sensor nodes. On the other hand, symmetric key cryptography has the difficulty of providing high-level security and efficient key management scheme; however, it is better in terms of speed and low energy cost. In this paper, it is aimed to build a multi-level dynamic key management system for WSNs with the aid of an Unmanned Aerial Vehicle (UAV), which is a key distribution and coordination center for asymmetric keys. After that, each sensor node constructs different symmetric keys with its neighbors, and communication security is achieved by data encryption and mutual authentication with these keys. Evaluation results show the proposed system is scalable, and its performance is significantly better than asymmetric key management systems. © 2013 Elsevier B.V. All rights reserved.


Pehlivanoglu Y.V.,Turkish Air force Academy
Aerospace Science and Technology | Year: 2012

A new optimization algorithm called multi-frequency vibrational genetic algorithm (mVGA) that can be used to solve the path planning problems of autonomous unmanned aerial vehicles (UAVs) is significantly improved. The algorithm emphasizes a new mutation application strategy and diversity variety such as the global random and the local random diversity. Clustering method and Voronoi diagram concepts are used within the initial population phase of mVGA process. The new algorithm and three additional GAs in the literature are applied to the path planning problem in two different three-dimensional (3D) environments such as sinusoidal and city type terrain models, and their results are compared. For both of the demonstration problems considered, remarkable reductions in the computational times have been accomplished. © 2011 Elsevier Masson SAS. All rights reserved.


Sahingoz O.K.,Turkish Air force Academy
2013 International Conference on Unmanned Aircraft Systems, ICUAS 2013 - Conference Proceedings | Year: 2013

Unmanned Aerial Vehicles (UAVs) are used in numerous military and civil application areas, and they have gained prominence in the research community. A UAV has to operate in a complex environment and checks the control points in the mission area by satisfying different constraints of the assigned task. Therefore, the path planning problem is one of the important areas in UAV researches. If the number of control points increases in the Unmanned Aerial System (UAS), finding a feasible solution in this large search space takes up a great deal of time. Nowadays low-cost UAVs are available, and this enables the use of multi-UAV systems to perform different tasks more efficiently and quickly. This usage increases the complexity of effective path planning and task allocation problem. This paper presents a flyable path planning for multi-UAV systems by using a Genetic Algorithm (GA) in a known environment at a constant altitude. A feasible path is firstly calculated by GAs, and then this path is smoothed by using Bezier curves. Experimental results indicate that the proposed approach produces effective and feasible paths for each UAV in a multi-UAV system. System is implemented in Java with a GUI for presenting results. The paper also draws future works that can be done on this topic. © 2013 IEEE.


Sahingoz O.K.,Turkish Air force Academy
2013 International Conference on Unmanned Aircraft Systems, ICUAS 2013 - Conference Proceedings | Year: 2013

With the advances in computation, sensor, communication and networking technologies, utilization of Unmanned Aerial Vehicles (UAVs) for military and civilian areas has become extremely popular for the last two decades. Since small UAVs are relatively cheap, the focus is changing, and usage of several small UAVs is preferred rather than one large UAV. This change in orientation is dramatic, and it is resulting to develop new networking technologies between UAVs, which can constitute swarm UAV teams for executing specific tasks with different levels of intra and inter vehicle communication especially for coordination and control of the system. Setting up a UAV network not only extends operational scope and range but also enables quick and reliable response time. Because UAVs are highly mobile nodes for networking, setting up an ad-hoc network is a challenging issue, and this networking has some requirements, which diffe r from traditional networks, mobile ad-hoc networks (MANETs) and vehicular ad-hoc networks (VANETs) in terms of connectivity, routing process, services, applications, etc. In this paper, it is aimed to point out the challenges in the usage of UAVs as mobile nodes in an ad-hoc network and to depict open research issues with analyzing the opportunities and future works. © 2013 IEEE.


Kazanci Z.,Turkish Air force Academy
International Journal of Non-Linear Mechanics | Year: 2011

The dynamic response of orthotropic sandwich composite plates impacted by time-dependent external blast pulses is studied by use of numerical techniques. The theory is based on classical sandwich plate theory including the large deformation effects, such as geometric non-linearities, in-plane stiffness and inertias, and shear deformation. The equations of motion for the plate are derived by the use of the virtual work principle. Approximate solutions are assumed for the space domain and substituted into the equations of motion. Then the Galerkin Method is used to obtain the non-linear differential equations in the time domain. The finite difference method is applied to solve the system of coupled non-linear equations. The results of theoretical analyses are obtained and compared with ANSYS results. Effects of the face sheet number, as well as those related to the ply-thickness, core thickness, geometrical non-linearities, and of the aspect ratio are investigated. Detailed analyses of the influence of different type of pressure pulses on dynamic response are carried out. © 2011 Elsevier Ltd. All rights reserved.


Atli O.,Turkish Air force Academy
International Journal of Computational Intelligence Systems | Year: 2011

When the project is scheduled with a given set of resources, it is difficult to find the optimal solution. Resourceconstrained scheduling problems (RCPSP) are generally NP-hard. In this paper, a high level heuristic procedure "Tabu Search Algorithm (TSA)" is proposed to provide good solutions to resource-constrained, deterministic activity duration project scheduling problems. We present the application results of the computational tabu search and OPL-CPLEX algorithm and compare them with that of earlier applicable researches along with a discussion about further research. Our computational results are presented, which establish the superiority of tabu search over the existing heuristic algorithms. Two different solution strategies are also discussed, namely tabu search and OPLCPLEX exact algorithm approach which can be used with the proposed model. Due to the execution time, we have shown that OPL-CPLEX's algorithm is a valid method with medium scale RCPSPs. For the considered deterministic problems, a good agreement has been obtained between theoretical and experimental results. © the authors.


Sahingoz O.K.,Turkish Air force Academy
Lecture Notes in Electrical Engineering | Year: 2013

Wireless Sensor Networks (WSNs) are more vulnerable to security attacks than wired networks because of their wireless and dynamic nature. In today's WSNs, the sensor nodes act not only as routers but also as communication endpoints, and they are also responsible for the security of the messages. Therefore, it is important to define whether an incoming message originates from a trustworthy node or not. The main solution for this is the usage of cryptographically signed messages. There are two main classifications for signing messages: namely symmetric and asymmetric algorithm based cryptography. In the asymmetric key cryptography, public/private key pairs are used to encrypt and decrypt messages. However, it can cause severe computational, memory, and energy overhead for the nodes. On the other side, symmetric key cryptography is superior to asymmetric key cryptography in terms of speed and low energy cost, but at the same time, it needs to design an efficient and flexible key distribution schemes for improving system performance. In this paper, it is aimed to set a multi-level dynamic key management system for WSNs with the aid of an Unmanned Aerial Vehicle (UAV) as a key distribution and coordination center for asymmetric keys. Public keys of the sensor nodes are dispatched by UAVs and symmetric keys set with these key combinations. Evaluation results show the proposed system is scalable, and its performance is considerably better than single asymmetric key management systems. © 2013 Springer Science+Business Media.


Sahingoz O.K.,Turkish Air force Academy
Journal of Intelligent and Robotic Systems: Theory and Applications | Year: 2014

In recent years, the capabilities and roles of Unmanned Aerial Vehicles (UAVs) have rapidly evolved, and their usage in military and civilian areas is extremely popular as a result of the advances in technology of robotic systems such as processors, sensors, communications, and networking technologies. While this technology is progressing, development and maintenance costs of UAVs are decreasing relatively. The focus is changing from use of one large UAV to use of multiple UAVs, which are integrated into teams that can coordinate to achieve high-level goals. This level of coordination requires new networking models that can be set up on highly mobile nodes such as UAVs in the fleet. Such networking models allow any two nodes to communicate directly if they are in the communication range, or indirectly through a number of relay nodes such as UAVs. Setting up an ad-hoc network between flying UAVs is a challenging issue, and requirements can differ from traditional networks, Mobile Ad-hoc Networks (MANETs) and Vehicular Ad-hoc Networks (VANETs) in terms of node mobility, connectivity, message routing, service quality, application areas, etc. This paper identifies the challenges with using UAVs as relay nodes in an ad-hoc manner, introduces network models of UAVs, and depicts open research issues with analyzing opportunities and future work. © 2013 Springer Science+Business Media Dordrecht.


Sahingoz O.K.,Turkish Air force Academy
Journal of Intelligent and Robotic Systems: Theory and Applications | Year: 2014

In recent years, Unmanned Aerial Vehicles (UAVs) have been used in many military and civil application areas, due to their increased endurance, performance, portability, and their larger payload-carrying, computing and communication capabilities. Because of UAVs' complex operation areas and complicated constraints related to the assigned task, they have to fly on a path, which is calculated online and/or offline to satisfy these constraints and to check some control points in the operation theatre. If the number of control points and constraints increases, finding a feasible solution takes up too much time in this large operation area. In this case, the use of multi-UAVs decreases operation completion time; however, this usage increases the complexity of finding a feasible path problem. This problem is typically NP-hard and genetic algorithms have been successfully utilized for solving it in the last few decades. This paper presents how a flyable trajectory can be constructed for multi-UAV systems by using a Genetic Algorithm (GA) in a known environment and at a constant altitude. A GA is implemented parallel in a multi-core environment to increase the performance of the system. First, a feasible path is calculated by using a parallel GA, and then the path is smoothed by using Bezier curves to convert it flyable. Preliminary results show that the proposed method provides an effective and feasible path for each UAV in an Unmanned Aerial System with multi-UAVs. The proposed system is realized in Java with a GUI for showing results. This paper also outlines future work that can be conducted on the multi-UAV path planning. © 2013 Springer Science+Business Media Dordrecht.


Volkan Pehlivanoglu Y.,Turkish Air force Academy
IEEE Transactions on Evolutionary Computation | Year: 2013

Particle swarm optimization (PSO), a relatively new population-based intelligence algorithm, exhibits good performance on optimization problems. However, during the optimization process, the particles become more and more similar, and gather into the neighborhood of the best particle in the swarm, which makes the swarm prematurely converged most likely around the local solution. A new optimization algorithm called multifrequency vibrational PSO is significantly improved and tested for two different test cases: optimization of six different benchmark test functions and direct shape optimization of an airfoil in transonic flow. The algorithm emphasizes a new mutation application strategy and diversity variety, such as global random diversity and local controlled diversity. The results offer insight into how the mutation operator affects the nature of the diversity and objective function value. The local controlled diversity is based on an artificial neural network. As far as both the demonstration cases' problems are considered, remarkable reductions in the computational times have been accomplished. © 1997-2012 IEEE.

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