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Öğe External Relaying Based Security Solutions for Wireless Implantable Medical Devices : A Review(Ieee, 2018) Kulaç, Selman; Sazlı, Murat Hüsnü; İlk, H. GökhanThe use of wireless applications is increasing in health care services. One of these areas is communicating with wireless Implantable Medical Devices (IMD). For existing or already implanted IMDs, wireless communication security and privacy is very important when it is against active and passive adversaries. In this study, current proposed solutions with external relaying devices that protect the wireless communication data of IMDs are explained. The advantages and disadvantages of these solutions are emphasized comparatively.Öğe Experimental Performance Investigation of a Novel Magnetic Levitation System [conferenceObject](Ieee, 2012) Hasırcı, Uğur; Balıkçı, Abdulkadir; Zabar, Zivan; Birenbaum, LeoThis paper deals with the design, construction and especially the experimental test of a new magnetic levitation (maglev) train driven by an air-cored tubular linear induction motor. Proposed new design topology uses only one force-generating system (motor) to produce the three forces required in a maglev system: propulsion, levitation and guidance, whereas classical maglev trains use a separate motor or permanent magnet to produce each of these forces. Moreover, the system eliminates the need for control of the levitation and guidance forces. The paper presents a condensed design guideline, simply explains the implementation process of a laboratory-scale prototype, shows in detail the experimental test results including the low-damping problem, and then addresses the advantages of the proposed system over existing maglev systems.Öğe Economic Dispatch Integrated Wind Power Using Coyote Optimization Algorithm(Ieee, 2019) Güvenç, Uğur; Kaymaz, EnesFossil fuels used in power system cause air pollution and global warming because of releasing greenhouse gases. Nowadays, renewable energy especially wind power has more widespread in power generation due to ecological concerns and increasing fuel prices. Therefore, it is presented the Economic Dispatch integrated wind power approach in this paper. However, wind power is stochastic because wind speed is uncertain in nature. Therefore Weibull Probability Density Function ( PDF) and Incomplete Gamma Function (IGF) are used to estimating and modelling wind power. To solve the problem effectively, Coyote Optimization Algorithm (COA) is implemented to the problem and it was tested on various power system consisting thermal generator and wind power generator. Simulation results generated by COA are compared with other heuristic algorithm such as GA and PSO. It can be clearly seen that COA produces better results than GA and PSO.Öğe Developing of Decision Support System for Land Mine Classification by Meta-heuristic Classifier(Ieee, 2016) Yılmaz, Cemal; Kahraman, Hamdi Tolga; Söyler, Salih; Sönmez, Yusuf; Güvenç, UğurIn this study, a decision support system has been developed for land mine detection and classification. Data obtained from detector based magnetic anomaly have been used to classify the land mines. With this classification, it is decided that whether obtained data belongs to a land mine or not, and the type of mine. The meta-heuristic k-NN classifier (HKC) has been used in developed decision support system. Consequently, it is seen that decision support system detects the presence of mines and decides the type of mine with 100% success for measurements in a certain range, and the proposed classifying method shows much higher performance than traditional instance-based classification method.Öğe Design, Fabrication and Test of a 250 m/s Generator-Driven Coil Launcher(Ieee, 2013) Hasırcı, Uğur; Balıkçı, AbdulkadirThis study deals with the design, implementation and real time test of a generator-driven, full-scale 250 m/s Linear Induction Launcher (LIL). The paper presents a condensed but comprehensive design guideline for such a type of launcher, explains in detail the implementation process, and discusses the test results. Additionally, effects of different materials, different thicknesses, and different lengths of the projectile on the muzzle velocity of the launcher are also examined to obtain a comparison facility for the projectile. The paper clearly explains and experimentally shows step-by-step how a coilgun-type generator-driven EML is designed and fabricated, including barrel design, projectile design, power source and power conditioner design.Öğe Daily Cost Minimization for an Off-Grid Renewable Microhybrid System Installed to a Residential Home(Ieee, 2015) Tutkun, Nedim; Can, Özay; Şan, Ender SinanElectricity prices inevitably increase in many countries due to various reasons such as growing demand, incremental costs etc. This obviously has considerable impact on electricity consumers using electrical household appliances in daily life. In Turkey, rise of electricity price is almost around 10% every year and unfortunately this leads to budge from living comfort. Use of renewable energy systems is one alternative to reduce energy cost in family budget. The recent survey has shown that Turkey is rich in renewable energy sources in order to generate low cost electricity in residential homes or similar places using a typical micro-hybrid system with very low power wind turbines, several PV panels, few storage batteries and controllable and uncontrollable electrical loads. The operational cost of this system should be reduced to competitive amount of the grid cost. This is actually a typical global minimization problem with several constraints to be solved. In this investigation, the problem was solved by the SFLA technique and the results indicated that operational cost in a PV/wind micro-hybrid renewable system is considerably reduced.Öğe Theoretical Investigation of Blackbody Radiation for the Passive Millimeterwave Imaging System(Ieee, 2018) Duman, Mehmet; Salman, Alp OralIn a passive millimeter wave imaging (PMMWI), there is no outgoing wave from the antenna of PMMWI system unlike the RAdio Detection And Ranging (RADAR). Antenna is only used to measure incoming waves which are coming from the all things because of being more than 0 Kelvin temperature or being non-blackbody. Radiation of the wall and the glass are different in a building; as a result, the PMMWI system can image the building with a good resolution to distinct the wall and glass. It can also image the gun that is under the cloth thanks to radiation difference. These systems utilize Planck, Wien and Rayleigh-Jeans Theories to view the images which are scanned in azimuth and elevation axis by PMMWI system through its antenna. In this work, the Planck, Wien and Rayleigh-Jeans Theories are analyzed and their formulas are run on MatLab Program with different temperatures for frequency or wave length at x-axis and for spectral radiance at y-axis.Öğe The time resolution of the load profile and its impact on a photovoltaic-battery system(Ieee, 2018) Brusco, G.; Burgio, Alessandro; Menniti, Daniele; Motta, Michele; Pinnarelli, A.; Sorrentino, Nicola; Tutkun, NedimThis paper explores the time resolution of the load profile and its impact on the size and operation of a photovoltaic-battery system. The impact on savings of the electric bill, the imported and exported power, the life estimation of the batteries and the load profile by the point of view of the distribution system operator are also studied. The impact is evaluated via numerical experiments; time resolutions of load profiles are in the 15-60 minutes range. The energy consumption, the irradiance and ambient temperature of a real case are considered.Öğe Stochastic Fractal Search with Chaos(Ieee, 2017) Bingöl, Okan; Güvenç, Uğur; Duman, Serhat; Paçacı, SerdarIn this study, the convergence speed and fitness function accuracy have been compared with the original algorithm by developing on the Stochastic Fractal Search (SFS) algorithm. Seven classical mathematical benchmark functions used in testing the optimization algorithms in the literature were used in comparison process. In the original SFS algorithm, the Gaussian walk function is used to find new solution points in diffusion process. The step length in this walk decreases as the iteration progresses and a function depending on generation value is used to provide for a more local search. The improvement in this work is the process of adding chaotic map values to this function. According to simulation results, it is observed that seven chaotic map improves the original algorithm from ten chaotic maps applied to SFS algorithm.Öğe Speed Control of Wind Turbine Rotor Using Genetic Algorithm(Ieee, 2015) Öztürk, Ali; Tosun, Salih; Alkan, Selman; Avcı, Emre; Bilir, RıfatIn wind farms, rotor speed control of generator is essential to generate appropriate electric energy. In this study, squirrel cage induction generator (SCIG) is used and its rotor speed is controlled with Genetic Proportional-Integral (GPI) method. Determination of PI coefficients providing SCIG to operate reference rotor speed promptly is obtained with Genetic Algorithm (GA) known as an optimization method. In addition, sensorless control of rotor speed is carried out with field oriented control (FOC). To do this purpose, the transfer function of rotor speed control of induction machine is created and employed in simulation model. Used in this control, PI coefficients, firstly, are obtained with a classical method called Ziegler-Nichols Method (ZNM) and then is obtained with GA. Wind turbine (WT) model created with Matlab/Simulink are used to operate the system simulation for these different methods which determine the PI coefficients. The system simulation of the results for ZNM and GA are compared. It is clearly seen that the results which are operated with PI coefficients calculated by GA is better than the others in the respect of reaching time to reference speed and determination.Öğe Secure Transmission of Commands Using Multicarrier Structure for Wireless Implantable Medical Devices(Ieee, 2016) Kulaç, Selman; Yılmaz, Mustafa Harun; Arslan, HüseyinWireless communication has growing interests in health care domain, especially in implantable medical devices (IMD). Because of the open nature of the wireless signals, providing a secure communication between IMD and physician device becomes a significant concern. In this study, we propose a security mechanism against eavesdroppers to protect the data sent by a physician. The importance of keeping these data in safe stems from the fact that the data consists of commands and remote control information which are vital for the patients. In the proposed method, secure transmission of command data by embedding and hiding data in multicarrier structure and less complex reception for IMD with customized frequency dehopping technique is employed. As indicated in performance evaluations, even with super computers, an eavesdropper can not decode the protected data in tremendous amount of time (years).Öğe Robust and Simple Yaw Controller Design for a Low Power Wind Turbine through the Shuffled Frog Leaping Algorithm(Ieee, 2014) Tutkun, Nedim; Maden, Dinçer; Elibol, ErdemRecently low power wind turbines have been attracted great attention to generate electricity in remote areas due to considerable increase in conventional energy cost. Among those sources, wind energy is the most prominent and is used in many places where low power wind turbines are highly applicable. Unfortunately, most of these turbines have a mechanical yaw controller with the wind tail rather than electronically designed controller due to increased total cost. However, this affects the efficiency of the wind turbine more than expected as well as its performance. In this investigation, a low cost yaw controller for a 2 kW horizontal axis wind turbine was designed by a simple and software implementation. The results show that the approach produced encouraging and meaningful outcomes to increase electricity generation through the fully controlled small wind turbine by avoiding turbulence effect on it.Öğe Renewable Energy Inclusion on Economic Power Optimization using Thunderstorm Algorithm(Ieee, 2017) Afandi, A.N.; Sulistyorini, Yunis; Fujita, Goro; Khai, Nguyen Phuc; Tutkun, NedimThis paper presents an economic operation considered renewable energy which is optimized using thunderstorm algorithm. The problem is constrained by an emission standard and various technical limits implemented on the 62-bus system model. Simulations showed that the renewable energy inclusion penetrates to the unit commitment of generating units with strongly approach for the computational solution. This inclusion also affects to the individual power production in accordance to the fuel cost and pollutant discharge.Öğe Reliable Listen-Before-Talk Mechanism for Medical Implant Communication Systems(Ieee, 2016) Kulaç, Selman; Arslan, HüseyinHealth care applications of wireless communication have been finding places dramatically. One of these applications is communication of implantable medical devices (IMD)s. It is expected that the number of IMDs will increase greatly in the near future. As a result, significant congestion will be experienced in medical implant communication service (MICS) band, leading to interference problems. In this study, we propose reliable listen-before-talk (LBT) mechanism at low signal-to-noise ratios (SNR) s for medical implant communication systems in order to mitigate the interference effects. In our method, we have just brought out power difference between mean peak and mean lowest power spectral values and it provides reliable and simple monitoring of MICS channels' occupation fastly. Our proposed method has superior performance when threshold power level is considered according to the federal communication commission (FCC) Part 95 regulatory standard.Öğe Prosumers with a Photovoltaic-Battery System: Comparison of Two Stategies for Imbalance Reduction(Ieee, 2017) Burgio, Alessandro; Menniti, Daniele; Pinnarelli, A.; Sorrentino, Nicola; Vizza, Pasquale; Tutkun, NedimIn the context of grid-connected prosumers with an integrated photovoltaic-battery system, imbalance is the difference between the hourly net energy measured at the point of delivery and the associated forecast. Besides contributing with the increasing of the self-consumption, batteries can also compensate for imbalances if opportunely operated. This paper proposes two strategies to operate batteries so to compensate for imbalances. Proposed strategies are compared each other in term of state of charge of the batteries and their lifetime expectation.Öğe Personal Space Calculation and Path Planning for Mobile Robots Based on the Turkish Social and Cultural Structure and the Gender(Ieee, 2018) Tolunbüke, Canberk; Toz, MetinThe introduction of robots into the physical world of humans necessitates complying with the rules of society, such as respect for people's personal space. This study concentrates on the determination of the personal space of the humans when the mobile robots approach them because of the frequent use of these robots in recent years specifically in a service field. For this purpose, unlike other works, gender difference, as well as the rules peculiar to the social and cultural structure of the Turkish society have been taken into consideration instead of general social rules, and thus improvement of the personal space determination is intended to be peculiar to the Turkish society. Moreover, two main rules have been established to be the basis of this proposed method of personal space determination. It is aimed that mobile robots comply with the rules of Turkish society thanks to these main rules in the course of being used. According to study results, sample illustrations are presented by calculating the personal space for groups consisting of one, two, three, four and five persons. As a result of the calculations, the changes between individuals and groups' personal spaces are shown. In addition, a sample path planning application using Ant Lion Optimization (ALO) algorithm is also presented.Öğe Performance Comparison of Discrete Time Sliding Mode Control Techniques for Magnetic Levitation System(Ieee, 2017) Maden, Dinçer; Yazıcı, İrfanIn this study, the control of magnetic levitation system in discrete time domain is considered. Magnetic ball levitation system model is identified, linearized near the equilibrium point and discretized in convenient sampling period. Discrete time sliding mode controller with enhanced exponential reaching law is designed and compared to traditional discrete time constant proportional rate reaching law for the magnetic ball levitation system which is subject to many control problems since it has unstable structure and it has nonlinear dynamics. The asymptotically stability of the system is analyzed by using Lyapunov stability condition with discrete time approach. In order to evaluate the performance of the considered control technique, simulations are conducted and the results show that discrete time enhanced exponential reaching law provides better performance in terms of both reference tracking and disturbance noise rejection as compared to conventional constant proportional rate reaching law techniques.Öğe Parameter Extraction From a Typical PV Module Using a Metaheuristic Technique(Ieee, 2015) Tutkun, Nedim; Elibol, Erdem; Aktaş, MelihIn this study, the mathematical models of two typical photovoltaic modules were obtained from a widely used single diode circuit model. The unknown parameters such as the diode ideality factor and the parasitic resistances were estimated using short circuit current and open circuit voltage given in the manufacturer's data sheet through the circuit model under consideration. It is obvious that parameter extraction is a typical minimization problem which may be solved by deterministic or stochastic optimization techniques depending on complexity of it. Since the equation obtained from I-V characteristic of the circuit model was transcendental a newly developed meta-heuristic technique such as the shuffled frog leaping algorithm (SFLA) was employed to identify the unknown parameters at various irradiance levels and temperatures. The results indicated that application of the SFLA method produced meaningful and encouraging outcomes to deliver peak power to a load.Öğe Optimum Unit Sizing of Wind-PV-Battery System Components in a Typical Residential Home(Ieee, 2016) Tutkun, Nedim; Celebi, Numan; Bozok, NecatiOptimal unit sizing of generation units in small offgrid systems is an important aspect to minimize total annual cost. This can be applied to wind, photovoltaic (PV), and hybrid wind-PV power generating systems to meet power demand for a residential home constructed at a specific site located in remote hilly areas in Turkey's northwest Black Sea coast where no grid extension is available. It is obvious that unit sizing of a standalone wind-PV system simply requires an optimization task to determine the optimal generation capacity and battery storage for a typical load profile. In optimization process, power demand, wind speed, and insolation rate are annually averaged hourly estimated values for the given site. The six combinations of PV alone, wind alone and hybrid wind-PV systems are optimally sized to both meet load demand and minimize total cost for 20-year lifetime projection using the real-coded genetic algorithms. The results indicated that a hybrid system with a 3 kW wind turbine and three 0.25 kW PV panel was the best configuration to reduce total annual cost to an affordable price for the specific example.Öğe Optimal Scheduling of Short-term Hydrothermal Generation Using Symbiotic Organisms Search Algorithm(Ieee, 2016) Kahraman, Hamdi Tolga; Döşoğlu, Mehmet Kenan; Güvenç, Uğur; Duman, Serhat; Sönmez, YusufIn this study, the Symbiotic Organisms Search (SOS) algorithm is proposed to solve the short-term hydrothermal generation scheduling (STHGS) problem. This problem aims to optimize the power generation strategy produced by hydroelectric and thermal plants by minimizing the total fuel cost function while satisfying some operational constraints. In order to evaluate the effectiveness of the SOS, it has been tested on a system having a hydro plant with four-cascaded reservoir and a thermal plant. Results have been compared other meta-heuristic methods. Results obtained from the experiment show that the proposed algorithm produces better results than the other methods and shows a good convergence.
