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2018

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Weighted Intensity Hue Saturation Transform For Image Enhancement Andpansharpening, Nur Hüseyi̇n Kaplan Jan 2018

Weighted Intensity Hue Saturation Transform For Image Enhancement Andpansharpening, Nur Hüseyi̇n Kaplan

Turkish Journal of Electrical Engineering and Computer Sciences

In this paper, a weighted intensity hue saturation transform (WIHS) is proposed for image enhancement and pansharpening. The proposed transform obtains the intensity component of the classical intensity hue saturation (IHS) transform, by weighting the bands (red, green, and blue) of the image, whereas the hue and saturation components remain unchanged. The weight for each band is determined according to the brightness interval of the corresponding band and its standard deviation. The purpose of obtaining the intensity component by weighting is to keep more information from the bands of the input image. The classical intensity component used in image processing …

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Decoupled Indirect Duty Cycle Pwm Technique With Carrier Frequency Adjustmentfor A Matrix Converter, Murugesan Kullan, Senthilkumaran Mahadevan, Anitha Roseline Johnson, Ranganath Muthu Jan 2018

Decoupled Indirect Duty Cycle Pwm Technique With Carrier Frequency Adjustmentfor A Matrix Converter, Murugesan Kullan, Senthilkumaran Mahadevan, Anitha Roseline Johnson, Ranganath Muthu

Turkish Journal of Electrical Engineering and Computer Sciences

The conventional sinusoidal pulse width modulation (SPWM) and the space vector PWM (SVPWM) switching techniques are widely used for power converters due to their ability to control the harmonic content of the output voltage. The most popular PWM techniques used in matrix converters are direct space vector modulation (DSVM) and indirect space vector modulation (ISVM). Since these techniques are complex and difficult to implement, there is demand for a PWM technique with minimum computation to operate matrix converters continuously. In this paper, decoupled indirect duty cycle (DIDC) PWM technique is proposed for the conventional matrix converter (CMC). This technique eliminates …

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Outputs Bounds For Linear Systems With Repeated Input Signals: Existence,Computation And Application To Vehicle Platooning, Harun Buğra Sağlam, Klaus Werner Schmi̇dt Jan 2018

Outputs Bounds For Linear Systems With Repeated Input Signals: Existence,Computation And Application To Vehicle Platooning, Harun Buğra Sağlam, Klaus Werner Schmi̇dt

Turkish Journal of Electrical Engineering and Computer Sciences

This paper investigates the effect of repeated time-limited input signals on the output excursion of stable, linear time-invariant systems. It is first shown that the maximum norm of the output signal remains bounded if the repeated input signals are separated by a nonzero dwell time. Then a novel method for computing a tight bound on the output signal norm is proposed. The setting of the paper is motivated by a vehicle platooning application, where vehicles repeatedly open/close gaps in order to perform lane changes. The developed method analyzes driving safety by computing a bound on the spacing error between vehicles …

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Model Reduction Of Discrete-Time Systems In Limited Intervals, Umair Zulfiqar, Muwahida Liaquat Jan 2018

Model Reduction Of Discrete-Time Systems In Limited Intervals, Umair Zulfiqar, Muwahida Liaquat

Turkish Journal of Electrical Engineering and Computer Sciences

Model order reduction (MOR) is a process of obtaining a lower order surrogate model that accurately approximates the original high-order system. Since no actuator or plant operates over the entire time and frequency ranges, the reduced-order model should be accurate in the actual range of operation. In this paper, model reduction techniques for discrete time systems are presented that ensure less reduction error in the specified time and frequency intervals. The techniques are tested on the benchmark numerical examples and their efficacy is shown.

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Determination Of Harmonic Current Contributions Based On Robust State Estimation, Erhan Sezgi̇n, Murat Göl, Özgül Salor Jan 2018

Determination Of Harmonic Current Contributions Based On Robust State Estimation, Erhan Sezgi̇n, Murat Göl, Özgül Salor

Turkish Journal of Electrical Engineering and Computer Sciences

In this paper, a state estimation based method is proposed to determine harmonic current contributions of plants supplied from a point of common coupling (PCC). This work mainly aims to reduce gross error of capacitive voltage transformer (CVT) measurements at harmonic frequencies using robust weighted least absolute value (WLAV) state estimation method, which provides the optimum state estimates for harmonic voltages in the presence of a redundant enough measurement set. Estimated harmonic voltages are then used to solve the harmonic current contribution problem based on superposition theorem. It has been shown that the proposed method can provide optimum harmonic estimates …

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Technoeconomic Analysis Of A Grid-Connected Pv And Battery Energy Storagesystem Considering Time Of Use Pricing, Chinmay Kumar Nayak, Manas Ranjan Nayak Jan 2018

Technoeconomic Analysis Of A Grid-Connected Pv And Battery Energy Storagesystem Considering Time Of Use Pricing, Chinmay Kumar Nayak, Manas Ranjan Nayak

Turkish Journal of Electrical Engineering and Computer Sciences

This paper examines the technoeconomic optimization of the size of valve-regulated lead acid-type battery energy storage systems (BESSs) in order to minimize the total annual operating cost of a grid-connected photovoltaic BESS within the framework of system operational constraints, using the improved harmony search algorithm. The electricity cost is calculated using time of use pricing, where the price of energy varies according to the load demand. The concept of feed-in-tariff is discussed, where power can be bought from and sold back to the grid. A sensitivity analysis is performed for three cases: without storage, with storage and without peak load …

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Two-Area Load Frequency Control With Redox Ow Battery Using Intelligentalgorithms In A Restructured Scenario, Lakshmi Dhandapani, Fathima Peer, Ranganath Muthu Jan 2018

Two-Area Load Frequency Control With Redox Ow Battery Using Intelligentalgorithms In A Restructured Scenario, Lakshmi Dhandapani, Fathima Peer, Ranganath Muthu

Turkish Journal of Electrical Engineering and Computer Sciences

Load frequency control (LFC) is an essential aspect of power system dynamics. This paper focuses on the optimization of LFC for a two-area deregulated power system under different scenarios. A recent nature-inspired ower pollination algorithm (FPA), based on the pollination process of plants, is used to tune the proportional integral (PI) controller parameters of LFC for the global minima solution. FPA is compared with a genetic algorithm, particle swarm optimization, and a conventional PI controller. During large load disturbance in the areas, controllers are incapable of reducing frequency deviations and tie-line power oscillations due to the slow response of the …

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Supercapacitor Utilization For Power Smoothening And Stability Improvement Of Ahybrid Energy System In A Weak Grid Environment, Rahul Sharma, Sathans Suhag Jan 2018

Supercapacitor Utilization For Power Smoothening And Stability Improvement Of Ahybrid Energy System In A Weak Grid Environment, Rahul Sharma, Sathans Suhag

Turkish Journal of Electrical Engineering and Computer Sciences

In this paper, a novel control scheme based on the application of a supercapacitor (SC) is proposed for power smoothening and stability improvement of a hybrid energy system (HES) in weak grid conditions. The basic property of fast charging/discharging of the SC is utilized to design the proposed control. In weak grid conditions, the control structure is proposed for power smoothening and DC link voltage regulation with the help of the SC. Moreover, the stability is increased, ripples in voltage are reduced, there is fast dynamic response, and oscillations are damped out under different conditions. In conventional control, voltage controller …

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Model-Free Approach Based On Intelligent Pd Controller For Vertical Motionreduction In Fast Ferries, Mounia Ticherfatine, Zhu Qidan Jan 2018

Model-Free Approach Based On Intelligent Pd Controller For Vertical Motionreduction In Fast Ferries, Mounia Ticherfatine, Zhu Qidan

Turkish Journal of Electrical Engineering and Computer Sciences

A new model-free approach was investigated to control two moving aps and a T-foil of a fast ferry traveling in the head sea. Considered as a highly perturbed system, fast ferries in sea waves suffer from the undesirable effects of pitch and heave motions causing severe vertical accelerations that lead to the discomfort of passengers who then experience seasickness. To appropriately control this multivariable system, a model-free control strategy was adopted. An augmented PD controller with compensating terms resulting from an online identification of an ultralocal model of the system was designed. Relying only on input{output data and using online …

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Fragment-Based Transmission Using Minimum Power Consumed Routing(Fbtmpcr) Algorithm Of A Mimo Integrated Manet, Swati Chowdhuri, Pranab Banerjee, Sheli Sinha Chaudhury Jan 2018

Fragment-Based Transmission Using Minimum Power Consumed Routing(Fbtmpcr) Algorithm Of A Mimo Integrated Manet, Swati Chowdhuri, Pranab Banerjee, Sheli Sinha Chaudhury

Turkish Journal of Electrical Engineering and Computer Sciences

The establishment of an efficient broadcast routing technique in a multiple input multiple output (MIMO)- based mobile ad hoc network is a challenge in wireless communication. MIMO configuration provides enhancement of data throughput even under conditions of interference and multipath fading. Improvement of transmission efficiency by increasing saturation throughput, reducing transmission delay, and minimizing bit error rate is the main motivation of the present work. In this paper a hybrid routing algorithm, fragment-based transmission using minimum power consumed routing, has been developed. It is an integration of the cooperative transmission process and fragmentation of packet payload. The routing algorithm is …

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Modified Stacking Ensemble Approach To Detect Network Intrusion, Necati̇ Demi̇r, Gökhan Dalkiliç Jan 2018

Modified Stacking Ensemble Approach To Detect Network Intrusion, Necati̇ Demi̇r, Gökhan Dalkiliç

Turkish Journal of Electrical Engineering and Computer Sciences

Detecting intrusions in a network traffic has remained an issue for researchers over the years. Advances in the area of machine learning provide opportunities to researchers to detect network intrusion without using a signature database. We studied and analyzed the performance of a stacking technique, which is an ensemble method that is used to combine different classification models to create a better classifier, on the KDD'99 dataset. In this study, the stacking method is improved by modifying the model generation and selection techniques and by using different classifications algorithms as a combiner method. Model generation is performed using subsets of …

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Improving The Incremental Conductance Algorithm For Two-Stage Grid-Connectedphotovoltaic Systems, Mehmet Ali̇ Özçeli̇k, Ahmet Serdar Yilmaz Jan 2018

Improving The Incremental Conductance Algorithm For Two-Stage Grid-Connectedphotovoltaic Systems, Mehmet Ali̇ Özçeli̇k, Ahmet Serdar Yilmaz

Turkish Journal of Electrical Engineering and Computer Sciences

Efficiency of solar photovoltaic generation plants depends not only on internal operational conditions but also on external atmospheric conditions. Total efficiency is in uenced by various weather conditions such as cloudiness, temperature, and irradiation. In order to generate maximum energy, photovoltaic (PV) arrays should be operated at their maximum power point (MPP), varying external factors like partial shading and surface temperature and amount of radiation coming from the sun. In modern PV systems, maximum power point trackers (MPPTs) have been used in order to reach the MPP, changing with the factors given above. MPPT units are implemented to control DC-DC …

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Comparative Analysis Of Different Cooling Fin Types For Countering Led Luminaires'heat Problems, Canan Karateki̇n, Oytun Kökkaya Jan 2018

Comparative Analysis Of Different Cooling Fin Types For Countering Led Luminaires'heat Problems, Canan Karateki̇n, Oytun Kökkaya

Turkish Journal of Electrical Engineering and Computer Sciences

A significant problem with high-power LED luminaires is heat. Aluminum heat sinks have been extensively used as a solution. The most common method for heat sinks that increases surface area uses fins. In the present study, pin- and plate-fins were compared and it was observed that, in equal surface areas, better cooling was achieved by pin-fins. Thus, the study's concentration narrowed to pin-fins and the results of different pin-fins were compared. Simulations of a sample group were conducted by using different numbers of fins, and the number of fins giving the lowest Tmax value (the highest junction point temperature) was …

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Extra High Voltage Transmission Line Operation Simulation Using The Actualcorona-Loss Characteristics, Ashraf Balametov, Elman Halilov, Tarana Isayeva Jan 2018

Extra High Voltage Transmission Line Operation Simulation Using The Actualcorona-Loss Characteristics, Ashraf Balametov, Elman Halilov, Tarana Isayeva

Turkish Journal of Electrical Engineering and Computer Sciences

In transmission line equations with distributed parameters, corona power losses are represented as conduc- tivity, i.e. corona losses considered as a function of the line voltage squared. On the other hand, valid corona power losses are 4-8 degree functions from voltage. Therefore, extra high voltage transmission line equations with the distributed parameters have methodical errors. Methodical errors of extra high voltage transmission line operation mode parame- ters modeling are estimated. The method of modeling extra high voltage transmission line operation mode taking into account actual corona-loss characteristics is offered. The cascade-connected scheme is used for increasing the accuracy of modeling …

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Two-Stage Optimization Method For Power Loss And Voltage Profile Control Indistribution Systems With Dgs And Evs Using Stochastic Second-Order Coneprogramming, Huiling Tang, Jiekang Wu, Zhijiang Wu, Lingmin Chen Jan 2018

Two-Stage Optimization Method For Power Loss And Voltage Profile Control Indistribution Systems With Dgs And Evs Using Stochastic Second-Order Coneprogramming, Huiling Tang, Jiekang Wu, Zhijiang Wu, Lingmin Chen

Turkish Journal of Electrical Engineering and Computer Sciences

This paper introduces a stochastic second-order cone programming (SSCOP) approach to solve the distributed generation coordination problem considering the uncertainty of electric vehicle charging in distribution networks. To minimize the total power loss in the distribution system, the problem is formulated to coordinate the output power of distributed generations (DGs). Two stages are presented to solve the optimization problem: the first stage is to optimize the output power of distributed generators without electric vehicle charging in the distribution system, and the second stage is to optimize the output power of distributed generators according to the stochastic increased load due to …

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A Novel Perturbed Particle Swarm Optimization-Based Support Vector Machine Forfault Diagnosis In Power Distribution Systems, Hoang Thi Thom, Cho Ming-Yuan, Vu Quoc Tuan Jan 2018

A Novel Perturbed Particle Swarm Optimization-Based Support Vector Machine Forfault Diagnosis In Power Distribution Systems, Hoang Thi Thom, Cho Ming-Yuan, Vu Quoc Tuan

Turkish Journal of Electrical Engineering and Computer Sciences

In this paper, a novel perturbed particle swarm optimization (PPSO) algorithm is investigated to improve the performance of a support vector machine (SVM) for short-circuit fault diagnosis in power distribution systems. In the proposed PPSO algorithm, the velocity of each particle is perturbed whenever the particles strike into a local optimum, in order to achieve a higher quality solution to optimization problems. Furthermore, the concept of proposed perturbation is applied to three variants of PSO, and improved corresponding algorithms are named perturbed C-PSO (PC-PSO), perturbed T-PSO (PT-PSO), and perturbed K-PSO (PK-PSO). For the purpose of fault diagnosis, the time- domain …

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Resolving Namesakes Using The Author's Social Network, Ijaz Hussain, Sohail Asghar Jan 2018

Resolving Namesakes Using The Author's Social Network, Ijaz Hussain, Sohail Asghar

Turkish Journal of Electrical Engineering and Computer Sciences

Author name ambiguity may occur when multiple authors share the same name or different name variations of a single author exist. This degrades search results and correct attributions in bibliographic databases. Existing solutions require either the actual number of ambiguous authors or extra information that is collected from the Web. However, in many scenarios, obtaining such auxiliary information is not possible or requires much extra effort. An effective and scalable method, ASONET, is proposed that uses graph community detection algorithms and graph operations to disambiguate namesakes. The citation dataset is preprocessed and ambiguous author blocks are formed. A graph structural …

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Tempest Font Counteracting A Noninvasive Acquisition Of Text Data, Ireneusz Kubiak Jan 2018

Tempest Font Counteracting A Noninvasive Acquisition Of Text Data, Ireneusz Kubiak

Turkish Journal of Electrical Engineering and Computer Sciences

The protection of information against electromagnetic penetration has huge significance. Different solutions, technological or organizational, are used to protect the information-limiting levels of unintentional emissions. In particular, technological solutions are implemented in commercial devices to limit levels of electromagnetic emissions. Nevertheless, such solutions cannot always be used. This is connected with the construction of these devices. Very often the devices do not have enough space on the inside to install new elements such as filters, electromagnetic shielding, and others. In the paper a new solution is proposed. The solution does not change the construction of the devices (e.g., printers, screens). …

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Demial: An Active Learning Framework For Multiple Instance Image Classificationusing Dictionary Ensembles, Gökhan Koçyi̇ği̇t, Yusuf Yaslan Jan 2018

Demial: An Active Learning Framework For Multiple Instance Image Classificationusing Dictionary Ensembles, Gökhan Koçyi̇ği̇t, Yusuf Yaslan

Turkish Journal of Electrical Engineering and Computer Sciences

In many machine-learning applications, each data point can be represented as a set of instances that create multiple instance learning (MIL) problems. Due to the structure of images, different regions can be interpreted as instances. Thus, multiple instances can be obtained for each image, which makes image categorization a MIL problem. With abundant unlabeled image data, this MIL problem can be solved using active learning algorithms. Active learning is a framework that utilizes unlabeled data in which labeling samples is a labor-intensive and expensive task. Although many effective MIL active learning methods have been developed, most of the existing algorithms …

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An Elitist Approach For Solving The Traveling Salesman Problem Using An Animalmigration Optimization Algorithm, Ezgi̇ Ülker Jan 2018

An Elitist Approach For Solving The Traveling Salesman Problem Using An Animalmigration Optimization Algorithm, Ezgi̇ Ülker

Turkish Journal of Electrical Engineering and Computer Sciences

This paper presents an improved version of the animal migration optimization (AMO) algorithm for solving the traveling salesman problem (TSP), which is classified as a combinatorial NP-hard problem. AMO is one of the recent metaheuristic algorithms inspired by the migration behavior of animals and has been efficiently applied to a variety of optimization problems. The algorithm is improved by reconstructing the neighborhood topology of each animal during the migration. This modified algorithm is called the elitist animal migration optimization (ELAMO) algorithm, since elitism is introduced as a way in which the positions of the leaders are considered for the neighborhood …

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Multiobjective Aerodynamic Optimization Of A Microscale Ducted Wind Turbineusing A Genetic Algorithm, Emre Alpman Jan 2018

Multiobjective Aerodynamic Optimization Of A Microscale Ducted Wind Turbineusing A Genetic Algorithm, Emre Alpman

Turkish Journal of Electrical Engineering and Computer Sciences

A two-objective aerodynamic optimization of a microscale ducted wind turbine was performed using a genetic algorithm. Two different fitness function pairs were considered for this purpose. In the first alternative the algorithm maximized the power produced while minimizing the drag force at a given wind speed and tip speed ratio. In the second alternative, however, the annual energy production was maximized while minimizing the maximum drag force developed between the cut-in and cut-off wind speeds. Computational uid dynamics solutions performed for selected best designs showed that optimizations performed using the second alternative yielded better turbines, which could produce more power …

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Consistency-Based Trust Management In P2p Networks, Yasi̇n Şahi̇n, Ahmet Burak Can Jan 2018

Consistency-Based Trust Management In P2p Networks, Yasi̇n Şahi̇n, Ahmet Burak Can

Turkish Journal of Electrical Engineering and Computer Sciences

Detecting malicious peers is a challenging task in peer-to-peer networks due to their decentralized structure and lack of central authority. Trust models can help identify malicious peers by maintaining information about peer relations and interactions. Keeping information about trust relations helps to reduce risks when providing or using services. This paper introduces two consistency concepts in trust management. Feedback consistency is used to evaluate how consistent feedback is with respect to past feedbacks. On the other side, peer consistency measures consistency of a peer's past feedbacks. These metrics help to reduce malicious interactions and increase successful downloads. Furthermore, the model …

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Presentation Of A Multilayer Nanosensor For Gas Detection By Palladium-Membrane With Emphasis On Hydrogen Gas, Ali Mohammad Noorian, Mahdi Sadeghi, Hassan Rasooli Saghai Jan 2018

Presentation Of A Multilayer Nanosensor For Gas Detection By Palladium-Membrane With Emphasis On Hydrogen Gas, Ali Mohammad Noorian, Mahdi Sadeghi, Hassan Rasooli Saghai

Turkish Journal of Electrical Engineering and Computer Sciences

Hydrogen gas sensors, based on palladium membranes, have considerable applications in areas such as industry, aerospace, and green energy monitoring. In this paper, we propose a surface plasmon resonance nanosensor, in which the main metal sensor is taken to be gold with a thin nanolayer of palladium membrane. The reason we chose palladium is its exceptional property of having high permittivity to hydrogen penetration. In this paper, formation of palladium hydride (PdH$_{x}$, where x = H / Pd) is achieved and simulation is provided using Materials Studio software. Based on an intermediate assumption, a semiconductor gold composite layer is used …

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Choice Of Battery Energy Storage For A Hybrid Renewable Energy System, Kusum Lata Tharani, Ratna Dahiya Jan 2018

Choice Of Battery Energy Storage For A Hybrid Renewable Energy System, Kusum Lata Tharani, Ratna Dahiya

Turkish Journal of Electrical Engineering and Computer Sciences

There are certain unelectrified villages across the Indian subcontinent where providing supply through the grid is difficult due to forest cover or mountainous terrain. The most feasible option is to provide off-grid electrification through renewable energy resources such as solar or wind energy. These intermittent sources do not promise a 24 $\times $ 7 supply system. Thus, along with solar or wind energy systems, it becomes important to use a renewable resource, such as biomass, which is available in abundance in rural areas. The need for battery energy storage becomes mandatory in order to store the surplus energy produced by …

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Automated Testing For Distributed Databases With Fuzzy Fragment Reallocation, Akhan Akbulut, Gözde Karataş Jan 2018

Automated Testing For Distributed Databases With Fuzzy Fragment Reallocation, Akhan Akbulut, Gözde Karataş

Turkish Journal of Electrical Engineering and Computer Sciences

As the Internet and big data become more widespread, relational database management systems (RDBMSs) become increasingly inadequate for web applications. To provide what RDBMSs cannot, during the past 15 years distributed database systems (DDBSs) have thus emerged. However, given the complicated structure of these systems, the methods used to validate the efficiency of databases, all towards ensuring quality and security, have become diversified. In response, this paper demonstrates a system for performing automated testing with DDBSs, given that testing is significant in software verification and that accredited systems are more productive in business environments. The proposed system applies several tests …

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Design And Implementation Of A New Speed Planner For Semiautonomous Systems, Mustafa Demi̇r, Volkan Sezer Jan 2018

Design And Implementation Of A New Speed Planner For Semiautonomous Systems, Mustafa Demi̇r, Volkan Sezer

Turkish Journal of Electrical Engineering and Computer Sciences

In this paper, a new speed planning method is developed for semiautonomous systems by improving our previous fuzzy logic-based approach. In this proposed method, an extended risk factor is calculated on top of the classical risk factor, using environmental factors and the user's speed reference. We obtain safer speed values in critical scenarios with this new extended risk factor definition. Another improvement comes from the design of the semiautonomous architecture. Instead of the fully autonomous solution of the previous work, we calculate the final speed reference by combining the risk factor-based speed value and user's speed reference, which provides a …

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A Novel Solution In The Simultaneous Deep Optimization Of Rgb-D Camera Calibration Parameters Using Metaheuristic Algorithms, Amir Safaei, Saeid Fazli Jan 2018

A Novel Solution In The Simultaneous Deep Optimization Of Rgb-D Camera Calibration Parameters Using Metaheuristic Algorithms, Amir Safaei, Saeid Fazli

Turkish Journal of Electrical Engineering and Computer Sciences

This article presents a novel method for estimating 19 parameters of RGB and depth camera calibration simultaneously. The proposed algorithm is based on applying metaheuristic methods for deep optimization and estimating all parameters of intrinsic, extrinsic, and lens distortions of cameras. This paper compares four metaheuristic algorithms, i.e. a genetic algorithm, particle swarm optimization, the colonial competitive algorithm, and the shuffled frog leaping algorithm, with a numerical algorithm called singular value decomposition. The proposed method does not need the initial estimation for optimization and it can avoid being trapped in local minima. By using nondirect estimation, we achieve middle computing …

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Volumetric 3d Reconstruction Of Real Objects Using Voxel Mapping Approach In A Multiple-Camera Environment, Tushar Jadhav, Kulbir Singh, Aditya Abhyankar Jan 2018

Volumetric 3d Reconstruction Of Real Objects Using Voxel Mapping Approach In A Multiple-Camera Environment, Tushar Jadhav, Kulbir Singh, Aditya Abhyankar

Turkish Journal of Electrical Engineering and Computer Sciences

Extracting 3D information from 2D images is an inverse estimation problem and a challenging task in itself. The aim of 2D to 3D reconstruction is to generate either a volume or a surface representing the object from multiple views. This paper presents a simple and accurate multiple-view volumetric 3D reconstruction method using an integrated approach based on homography estimation and voxel mapping. The homography-based approaches give accurate estimates but do not provide system dynamics. The voxel-based volumetric reconstruction methods provide system dynamics that are essential for system modeling. However, they face challenges while modeling the concavities. This paper presents a …

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Qrmw: Quantum Representation Of Multi Wavelength Images, Engi̇n Şahi̇n, İhsan Yilmaz Jan 2018

Qrmw: Quantum Representation Of Multi Wavelength Images, Engi̇n Şahi̇n, İhsan Yilmaz

Turkish Journal of Electrical Engineering and Computer Sciences

In this study, we propose quantum representation of multiwavelength images (QRMW) that gives preparation and retrieving procedures of quantum images. The proposed QRMW model represents multichannel and $2^{n}\times 2^{m}$ images. Moreover, we present image comparison and some image operations based on the QRMW model. Comparing our model with the models in the literature, the QRMW model has less time complexity. It also uses fewer qubits than existing models in the literature.

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Nonintrusive Identification Of Residential Appliances Using Harmonic Analysis, Srdjan Djordjevic, Milan Simic Jan 2018

Nonintrusive Identification Of Residential Appliances Using Harmonic Analysis, Srdjan Djordjevic, Milan Simic

Turkish Journal of Electrical Engineering and Computer Sciences

The role of nonintrusive load monitoring (NILM) is to identify the operating schedules of individual appliances and their power consumption from single-point electrical measurements. This paper discusses appliance load monitoring based on the harmonic analysis of the steady-state current, which is specifically suited for identification of nonlinear appliances. The existing harmonic-based NILM methods have limited applicability due to the fact that their complexity increases exponentially with the number of target appliances. In order to overcome this problem, this study suggests the use of the step changes of current harmonic phasors as a feature for appliance detection. The key benefit of …

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