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2017

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Articles 11911 - 11940 of 12521

Full-Text Articles in Physical Sciences and Mathematics

Design Fabrication And Test Of An X-Band Dual Polarized Aperture-Coupled Reflectarray Element For Beam Switching, Iman Aryanian, Abdolali Abdipour, Gholamreza Moradi Jan 2017

Design Fabrication And Test Of An X-Band Dual Polarized Aperture-Coupled Reflectarray Element For Beam Switching, Iman Aryanian, Abdolali Abdipour, Gholamreza Moradi

Turkish Journal of Electrical Engineering and Computer Sciences

In this paper a dual polarized aperture-coupled reflectarray unit cell is designed, fabricated, and tested. The element is based on patches aperture-coupled to delay lines. This unit cell has the capability of switching the beam direction in two orthogonal polarizations using a PIN diode or MEMS switch by changing the length of the transmission line coupled to the patch. The proposed structure is used in the design of an X-band reflectarray antenna in two states having angles off broadside of 0$^{\circ}$ and 10$^{\circ}$.

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Design Of A Three-Phase Multistage Axial Flux Permanent Magnet Generator For Wind Turbine Applications, Muhammad Mansoor Ashraf, Tahir Nadeem Malik Jan 2017

Design Of A Three-Phase Multistage Axial Flux Permanent Magnet Generator For Wind Turbine Applications, Muhammad Mansoor Ashraf, Tahir Nadeem Malik

Turkish Journal of Electrical Engineering and Computer Sciences

Presently, axial flux permanent magnet machines are becoming popular and are being deployed actively for low speed applications. This paper presents an improved model of a multistage axial flux permanent magnet generator (AFPMG). The multistage AFPMG consists of multiple stator and rotor discs. There are three identical 1-phase stator discs and four in-phase rotor discs in the proposed multistage AFPMG. In this research, 4 case studies were analyzed on the design of the multistage AFPMG. First, a phase shift model (PSM) positions the three 1-phase stator discs to behave as a 3-phase generator. Actually, the PSM computes phases for three …

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Adslanf: A Negotiation Framework For Cloud Management Systems Using A Bulk Negotiation Behavioral Learning Approach, Rajkumar Rajavel, Mala Thangarathinam Jan 2017

Adslanf: A Negotiation Framework For Cloud Management Systems Using A Bulk Negotiation Behavioral Learning Approach, Rajkumar Rajavel, Mala Thangarathinam

Turkish Journal of Electrical Engineering and Computer Sciences

One of the major challenges in cloud computing is the development of a service-level agreement (SLA) negotiation framework using an intelligent third-party broker negotiation strategy. Current frameworks exploit various negotiation strategies using game theoretic, heuristic, and argumentation-based approaches for obtaining optimal negotiation with a better success rate (negotiation commitment). However, these approaches fail to optimize the negotiation round (NR), total negotiation time (TNT), and communication overhead (CO) involved in the negotiation strategy. To overcome these problems, certain researchers have exploited trade-off, concession, and behavioral learning strategies with varying degrees of sacrifices (reductions) in their concerned proposal generation. Such sacrifices can …

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An Efficient Hybrid Data Gathering Algorithm Based On Multihop And Mobile Elements In Wsns, Mukhtar Ghaleb, Shamala Subramaniam, Mohamed Othman, Zuriati Zukarnain Jan 2017

An Efficient Hybrid Data Gathering Algorithm Based On Multihop And Mobile Elements In Wsns, Mukhtar Ghaleb, Shamala Subramaniam, Mohamed Othman, Zuriati Zukarnain

Turkish Journal of Electrical Engineering and Computer Sciences

Data gathering is a focal task in wireless sensor networks (WSNs) that expends most of the sensor nodes' energy. Two factors that are considered essential in data gathering are latency and power consumption. The multihop data gathering approach proves that latency is minimized due to the speed of forwarding data to the base station. However, this may lead to increased power consumption and increased possibility of an emerging hotspot area. In contrast, data gathering based on a mobile element (ME) proves that power consumption is minimized due to avoiding relay data in extreme schemes. However, this may increase the latency …

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Automatic Instrumental Platform For The Measurement Of The Characteristics Of Ferromagnetic Materials Based On Labview, Monia Ferjani Jaafar Jan 2017

Automatic Instrumental Platform For The Measurement Of The Characteristics Of Ferromagnetic Materials Based On Labview, Monia Ferjani Jaafar

Turkish Journal of Electrical Engineering and Computer Sciences

In this paper, we propose a complete automation of the different measurements of ferromagnetic materials dynamic characterization according to the CEI60404-6 standard. The measurement bench consists of two major parts: hardware and software. The hardware part comprises a programmable function generator MTX-3240, an electronic card for the magnetic induction's waveform control, and an NI PCI-6225 acquisition card. The software part is developed in the LabVIEW environment to enable the generator and the acquisition card control. It also allows for the processing of obtained experimental records and the correction of static errors. The identified characteristics are mainly the first magnetization curve, …

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Pseudorandom Number Generator Based On Arnold Cat Map And Statistical Analysis, Erdi̇nç Avaroğlu Jan 2017

Pseudorandom Number Generator Based On Arnold Cat Map And Statistical Analysis, Erdi̇nç Avaroğlu

Turkish Journal of Electrical Engineering and Computer Sciences

Pseudorandom number generators (PRNGs) generate random bit streams based on deterministic algorithms. Any bit stream generated with a PRNG will repeat itself at a certain point, and the bit streams will become correlated. As a result, all bit streams generated in this manner are statistically weak. Such weakness leads to a strong connection between PRNGs and chaos, which is characterized by ergodicity, confusion, complexity, sensitivity to initial conditions, and dependence on control parameters. In this study, we introduce a PRNG that generates bit sequences by sampling two Arnold cat map outputs. The statistical randomness of bit streams obtained using this …

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Mutual Correlation Of Nist Statistical Randomness Tests And Comparison Of Their Sensitivities On Transformed Sequences, Ali̇ Doğanaksoy, Fati̇h Sulak, Muhi̇ddi̇n Uğuz, Okan Şeker, Zi̇ya Akcengi̇z Jan 2017

Mutual Correlation Of Nist Statistical Randomness Tests And Comparison Of Their Sensitivities On Transformed Sequences, Ali̇ Doğanaksoy, Fati̇h Sulak, Muhi̇ddi̇n Uğuz, Okan Şeker, Zi̇ya Akcengi̇z

Turkish Journal of Electrical Engineering and Computer Sciences

Random sequences are widely used in many cryptographic applications and hence their generation is one of the main research areas in cryptography. Statistical randomness tests are introduced to detect the weaknesses or nonrandom characteristics that a sequence under consideration may have. In the literature, there exist various statistical randomness tests and test suites, defined as a collection of tests. An efficient test suite should consist of a number of uncorrelated statistical tests each of which measures randomness from another point of view. `Being uncorrelated' is not a well-defined or well-understood concept in the literature. In this work, we apply Pearson's …

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Obstacle Avoidance For Mobile Robot Based On Improved Dynamic Window Approach, Xiuyun Li, Fei Liu, Juan Liu, Shan Liang Jan 2017

Obstacle Avoidance For Mobile Robot Based On Improved Dynamic Window Approach, Xiuyun Li, Fei Liu, Juan Liu, Shan Liang

Turkish Journal of Electrical Engineering and Computer Sciences

The dynamic window approach has the drawback that it may result in local minima and nonoptimal motion decision for obstacle avoidance because of not considering the size constraint of a mobile robot. Thus, an improved dynamic window approach is proposed, which takes into account the relation between the size of the mobile robot and the free space between obstacles. A laser range finder is employed to improve the ability of sensing and prediction of the environment, in order to avoid being trapped in a U-shaped obstacle, such as a box canyon. By applying the proposed method, the local minima problem …

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A Power Sharing Control For Microgrids Based On Extrapolation Of Injecting Power And Power-Angle Control, Suchart Janjornmanit, Suttichai Premrudeepreechacharn Jan 2017

A Power Sharing Control For Microgrids Based On Extrapolation Of Injecting Power And Power-Angle Control, Suchart Janjornmanit, Suttichai Premrudeepreechacharn

Turkish Journal of Electrical Engineering and Computer Sciences

Droop controlled power sharing with an assumption that the value of line impedance is unavailable has been proven to have limitations; the power sharing is problematic in systems with significantly resistive lines. Furthermore, when the droop is applied in the islanding mode of operation of a microgrid, the system is likely to become unstable. In this paper, the droop control is replaced by an analytical solution. The proposed approach of power sharing is power-angle control of distributed generators (DGs), such as voltage source converters, a type of DG with extrapolation of power injected to the connected bus. It is demonstrated …

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Hadoop Framework Implementation And Performance Analysis On A Cloud, Göksu Zeki̇ye Özen, Mehmet Tekerek, Rayi̇mbek Sultanov Jan 2017

Hadoop Framework Implementation And Performance Analysis On A Cloud, Göksu Zeki̇ye Özen, Mehmet Tekerek, Rayi̇mbek Sultanov

Turkish Journal of Electrical Engineering and Computer Sciences

The Hadoop framework uses the MapReduce programming paradigm to process big data by distributing data across a cluster and aggregating. MapReduce is one of the methods used to process big data hosted on large clusters. In this method, jobs are processed by dividing into small pieces and distributing over nodes. Parameters such as distributing method over nodes, the number of jobs held in a parallel fashion, and the number of nodes in the cluster affect the execution time of jobs. The aim of this paper is to determine how the numbers of nodes, maps, and reduces affect the performance of …

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Multitier Decentralized Control Scheme Using Energy Storage Unit And Load Management In Inverter-Based Ac Microgrids, Sara Nourollah, Abolfazl Pirayesh, Matthias Fripp Jan 2017

Multitier Decentralized Control Scheme Using Energy Storage Unit And Load Management In Inverter-Based Ac Microgrids, Sara Nourollah, Abolfazl Pirayesh, Matthias Fripp

Turkish Journal of Electrical Engineering and Computer Sciences

The use of renewable energies, such as wind and solar, is rising in microgrids. However, because of their intermittent nature, achieving a stable system in spite of the fluctuations of generation and demand is very difficult. Aiming to increase the stability margin of AC islanded microgrids comprising nondeterministic resources, properly share real power (P), and keep the network frequency ($f)$ at nominal value, this study exploits the presence of energy storage units (ESUs) along with a load-shedding scheme. To this end, this study proposes a multitier decentralized control strategy that is based on frequency and includes three control schemes, distributed …

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A 2-D Analytical Model For Cylindrical Gate Tunnel Fet (Cg-Tfet) Based On Center Potential, Sidhartha Dash, Guru Prasad Mishra Jan 2017

A 2-D Analytical Model For Cylindrical Gate Tunnel Fet (Cg-Tfet) Based On Center Potential, Sidhartha Dash, Guru Prasad Mishra

Turkish Journal of Electrical Engineering and Computer Sciences

In this paper, a 2-D cylindrical gate tunnel FET (CG-TFET) model is developed based on the potential at the center of cylinder. The center potential is obtained by Laplace solution in the cylindrical coordinate system and the accuracy is validated using a 2-D TCAD device simulator. The tunneling of charge carriers in the CG-TFET is analyzed using the center potential and the results are compared to the surface potential-based model. The drain current is formulated using the initial tunneling point and tunneling path, which further helps to obtain the threshold voltage of this model. The effect of gate engineering and …

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A Novel Ddcc+ Based First-Order Current-Mode Active-C All-Pass Filter Using A Grounded Capacitor, Remzi̇ Arslanalp Jan 2017

A Novel Ddcc+ Based First-Order Current-Mode Active-C All-Pass Filter Using A Grounded Capacitor, Remzi̇ Arslanalp

Turkish Journal of Electrical Engineering and Computer Sciences

In this study, a novel first-order current-mode active-C all-pass filter based on a companding idea is proposed. In the design of the filter, a state space method is used. The proposed structure consists of only two plus-type differential difference current conveyors, nine external MOSFETs, and a single grounded capacitor. The dominant advantages of the proposed filter are briefly described as follows: offering resistorless design, consuming low power, having an electronic tunability property of its pole frequency, and not suffering from the disadvantage of any passive component matching conditions. By cascading two all-pass filters in a closed negative feedback loop, a …

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A Modified Genetic Algorithm For A Special Case Of The Generalized Assignment Problem, Murat Dörterler, Ömer Faruk Bay, Mehmet Ali̇ Akcayol Jan 2017

A Modified Genetic Algorithm For A Special Case Of The Generalized Assignment Problem, Murat Dörterler, Ömer Faruk Bay, Mehmet Ali̇ Akcayol

Turkish Journal of Electrical Engineering and Computer Sciences

Many central examinations are performed nationwide in Turkey. These examinations are held simultaneously throughout Turkey. Examinees attempt to arrive at the examination centers at the same time and they encounter problems such as traffic congestion, especially in metropolises. The state of mind that this situation puts them into negatively affects the achievement and future goals of the test takers. Our solution to minimize the negative effects of this issue is to assign the test takers to closest examination centers taking into account the capacities of examination halls nearby. This solution is a special case of the generalized assignment problem (GAP). …

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Transient State Estimation With The Bergeron Transmission Line Model, Naret Suyaroj, Suttichai Premrudeepreechacharn, Neville Robert Watson Jan 2017

Transient State Estimation With The Bergeron Transmission Line Model, Naret Suyaroj, Suttichai Premrudeepreechacharn, Neville Robert Watson

Turkish Journal of Electrical Engineering and Computer Sciences

Transient state estimation (TSE) was used to determine the state values that have no measurement equipment placed in an electric power system with transient phenomena. Previous papers used the PI model for TSE with a short transmission line, but longer lines require the development of algorithms that include the distributed parameters of transmission lines with the Bergeron model. The test system was a 10-bus power system. The simulated transient was caused by a fault event, resulting in different persistent voltage drops that ranged from 10% to 90% at selected buses. In addition, noises were applied to evaluate the algorithm, which …

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A New Mechanism To Improve Video Streaming In P2p Networks Using Helper Nodes, Javid Kargar, Abdorasoul Ghasemi Jan 2017

A New Mechanism To Improve Video Streaming In P2p Networks Using Helper Nodes, Javid Kargar, Abdorasoul Ghasemi

Turkish Journal of Electrical Engineering and Computer Sciences

Peer-to-peer video on demand (P2P-VoD) is a solution to provide video service to a large number of users on the Internet. Due to the upload bandwidth bottleneck of VoD servers, the streaming capacity in the P2P-VoD system is limited. This paper proposes a new mechanism to improve the video streaming in P2P networks by using the idle peers upload bandwidth and storage, which are called helpers. The proposed method uses an XOR mechanism in the VoD server to encode chunks and reduce bandwidth use. The helpers receive encoded chunks from the VoD server and save them in their storage spaces …

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Nonlinear Acoustic Echo Cancellation Using An Adaptive Hammerstein Block Structure Based On A Generalized Basis Function, Tuğba Özge Onur, Rifat Hacioğlu Jan 2017

Nonlinear Acoustic Echo Cancellation Using An Adaptive Hammerstein Block Structure Based On A Generalized Basis Function, Tuğba Özge Onur, Rifat Hacioğlu

Turkish Journal of Electrical Engineering and Computer Sciences

We investigated adaptive algorithms for a Hammerstein block structure in which a static nonlinear block and dynamic linear block are cascaded. The approach considered here is to use generalized orthonormal basis functions in a Hammerstein block structure by using fixed pole filter banks. We applied the normalized least mean square approach to the developed adaptive algorithm in order to acquire Hammerstein block structure parameters. Performance comparison of the proposed approach was investigated considering convergence speed and parametric complexity for acoustic echo cancellation application. The results indicated that in the developed algorithm along with appropriate selection of fixed poles, the algorithm …

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A Novel Direct Torque Control Using Second Order Continuous Sliding Mode Of A Doubly Fed Induction Generator For A Wind Energy Conversion System, Zinelaabidine Boudjema, Rachid Taleb, Youcef Djeriri, Adil Yahdou Jan 2017

A Novel Direct Torque Control Using Second Order Continuous Sliding Mode Of A Doubly Fed Induction Generator For A Wind Energy Conversion System, Zinelaabidine Boudjema, Rachid Taleb, Youcef Djeriri, Adil Yahdou

Turkish Journal of Electrical Engineering and Computer Sciences

In this paper a new robust direct torque control strategy based on second order continuous sliding mode and space vector modulation of a doubly fed induction generator integrated in a wind energy conversion system is presented. The conventional direct torque control (C-DTC) with hysteresis regulators has significant flux and torque ripples at steady-state operation and also the switching frequency varies in a wide range. The proposed DTC technique based on second order continuous sliding mode control reduces flux, current, and torque ripples. It also narrows down the switching frequency variations in induction machine control. Two different sliding surfaces such as …

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Modeling And Analysis Of A Novel Dual Open-End Stator Windings Wound Rotor Synchronous Machine With Dampers, Abdelmonoem Nayli, Sami Guizani, Faouzi Ben Ammar Jan 2017

Modeling And Analysis Of A Novel Dual Open-End Stator Windings Wound Rotor Synchronous Machine With Dampers, Abdelmonoem Nayli, Sami Guizani, Faouzi Ben Ammar

Turkish Journal of Electrical Engineering and Computer Sciences

This work presents a novel wound rotor synchronous machine with dampers with dual three-phase open-end stator windings. The aim of the proposed machine is to improve the power segmentation and the availability of the drive system. The mathematical model of this machine is presented in the Park reference frame. This machine is supplied by four 2-level inverters, where each inverter is dimensioned for quarter power of the machine. For comparison purposes, we use a double star synchronous machine fed by two 2-level inverters. Comparative simulation analysis using THD voltage, THD stator current, and torque undulation showed significant advantages of the …

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Modeling Lattice-Matched Inp-Based Multijunction Solar Cells, Tuğba Selcen Navruz Jan 2017

Modeling Lattice-Matched Inp-Based Multijunction Solar Cells, Tuğba Selcen Navruz

Turkish Journal of Electrical Engineering and Computer Sciences

Currently, the multijunction solar cell structure gives the highest efficiency for photovoltaic solar cells. In this study, tandem, triple, and quadruple junction multijunction solar cell structures that include an InP subcell on InP substrate were investigated. A model that can calculate both the voltage-current characteristics and external quantum efficiency was demonstrated. The model gave fitted results with the experimental data for a single junction GaAs solar cell and a tandem solar cell that provides efficiency higher than 30%. The model was used to optimize the lattice-matched AlAsSb/InP tandem, AlAsSb/InP/InGaAsP triple, and AlAsSb/InP/InGaAsP/GaAsSb quadruple junction solar cell designs and the highest …

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The Effect Of Fault Current Limiter Size And Type On Current Limitation In The Presence Of Distributed Generation, Reza Mohammadi Chabanloo, Ehsan Mokhtarpour Habashi, Meysam Farrokhifar Jan 2017

The Effect Of Fault Current Limiter Size And Type On Current Limitation In The Presence Of Distributed Generation, Reza Mohammadi Chabanloo, Ehsan Mokhtarpour Habashi, Meysam Farrokhifar

Turkish Journal of Electrical Engineering and Computer Sciences

One of the effective mitigation solutions of the problems due to the penetration of distributed generation (DG) into the distribution network is a fault current limiter (FCL). Main attention is given to designs for resistive and inductive FCLs and others should meet the same requirements. At first in this paper network analysis is used to determine a suitable type of limiting impedance of a FCL in a distribution network in the presence of DG and then a comparative study of resistive, inductive, and complex FCLs is conducted to show the effect of size and type of FCL on the amplitude …

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Single Event Multiple Upset-Tolerant Sram Cell Designs For Nano-Scale Cmos Technology, Ramin Rajaei, Bahar Asgari, Mahmoud Tabandeh, Mahdi Fazeli Jan 2017

Single Event Multiple Upset-Tolerant Sram Cell Designs For Nano-Scale Cmos Technology, Ramin Rajaei, Bahar Asgari, Mahmoud Tabandeh, Mahdi Fazeli

Turkish Journal of Electrical Engineering and Computer Sciences

In this article, two soft error tolerant SRAM cells, the so-called RATF1 and RATF2, are proposed and evaluated. The proposed radiation hardened SRAM cells are capable of fully tolerating single event upsets (SEUs). Moreover, they show a high degree of robustness against single event multiple upsets (SEMUs). Over the previous SRAM cells, RATF1 and RATF2 offer lower area and power overhead. The Hspice simulation results through comparison with some prominent and state-of-the-art soft error tolerant SRAM cells show that our proposed robust SRAM cells have smaller area overhead (RAFT1 offers 58% smaller area than DICE), lower power delay product (RATF1 …

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On The Application Of The Spectral Element Method In Electromagnetic Problems Involving Domain Decomposition, Ibrahim Mahariq Jan 2017

On The Application Of The Spectral Element Method In Electromagnetic Problems Involving Domain Decomposition, Ibrahim Mahariq

Turkish Journal of Electrical Engineering and Computer Sciences

One of the challenges in electromagnetics is to solve electromagnetic fields originated from a radiating source or a scattering object in distances that largely exceed the dimensions of the source or scatterer. In this paper, domain decomposition based on the application reasoning of the perfectly matched layer (PML) is studied by the spectral element method (SEM) for the first time in order to solve near and far electromagnetic fields without requiring substantially computational resources. Scattering from a loss-free dielectric cylinder and radiated fields from a line source are the problems utilized for the purpose of numerical demonstration in two dimensions …

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Universal And Stable Medical Image Generation For Tissue Segmentation (The Unistable Method), Ihab Elaff, Ali El-Kemany, Mohammed Kholif Jan 2017

Universal And Stable Medical Image Generation For Tissue Segmentation (The Unistable Method), Ihab Elaff, Ali El-Kemany, Mohammed Kholif

Turkish Journal of Electrical Engineering and Computer Sciences

Segmentation of medical images has been one of the most important research areas because of its impact in modeling and diagnosing the structure and the functions of various organs. The lack of unique solution for the segmentation problem of medical images is caused by the wide range of selections among different medical imaging modalities and clustering methods where each setting has its own estimates for solving this problem. The unistable method is a novel method that generates enhanced images with high contrast, which can reduce boundary overlap between different tissues. This is accomplished by fusion of different clustering maps, which …

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Enhanced Hybrid Method Of Divide-And-Conquer And Rbf Neural Networks For Function Approximation Of Complex Problems, Mohammed Awad Jan 2017

Enhanced Hybrid Method Of Divide-And-Conquer And Rbf Neural Networks For Function Approximation Of Complex Problems, Mohammed Awad

Turkish Journal of Electrical Engineering and Computer Sciences

This paper provides an enhanced method focused on reducing the computational complexity of function approximation problems by dividing the input data vectors into small groups, which avoids the curse of dimensionality. The computational complexity and memory requirements of the approximated problem are higher when the input data dimensionality increases. A divide-and-conquer algorithm is used to distribute the input data of the complex problem to a divided radial basis function neural network (Div-RBFNN). Under this algorithm, the input data variables are typically distributed to different RBFNNs based on whether the number of the input data dimensions is odd or even. In …

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Electronically Tunable Mos-Only Current-Mode High-Order Band-Pass Filters, Pipat Prommee, Aphinat Tiamsuphat, Muhammad Taher Abuelmaatti Jan 2017

Electronically Tunable Mos-Only Current-Mode High-Order Band-Pass Filters, Pipat Prommee, Aphinat Tiamsuphat, Muhammad Taher Abuelmaatti

Turkish Journal of Electrical Engineering and Computer Sciences

This paper presents new CMOS current-mode ladder Chebyshev and elliptic band-pass filters (BPFs). The signal flow graph and the network transformation methods are used to synthesize the proposed BPFs by using Chebyshev and elliptic RLC low-pass prototypes. CMOS-based lossy and lossless integrators with grounded capacitors are used to synthesize the proposed BPFs. The proposed filters can be electronically tuned between 10 kHz and 100 MHz by adjusting the bias current from 0.02 $\mu $A to 200 $\mu $A. Both filters use a 1.5 V DC power supply, which leads to low dynamic power consumption. Both filters enjoy total harmonic distortion …

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Optimized Designs Of Reversible Arithmetic Logic Unit, Ali Bolhassani, Majid Haghparast Jan 2017

Optimized Designs Of Reversible Arithmetic Logic Unit, Ali Bolhassani, Majid Haghparast

Turkish Journal of Electrical Engineering and Computer Sciences

Reversible logic has emerged as a promising paradigm in various domains, such as low power VLSI design, quantum cellular automata, and nanotechnology-based systems. The arithmetic logic unit (ALU) is one of the main components of any central processing unit. In this paper we propose two new reversible ALUs using elementary quantum gates, with more functions compared to the existing designs. The results show that the proposed designs are better than the existing counterparts in terms of cost-metrics and the number of functions generated. The proposed reversible ALUs can be used in the implementation of quantum computers. All the designs are …

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An Inductorless Wideband Lna With A New Noise Canceling Technique, Pouria Pazhouhesh Moghadam, Adib Abrishamifar Jan 2017

An Inductorless Wideband Lna With A New Noise Canceling Technique, Pouria Pazhouhesh Moghadam, Adib Abrishamifar

Turkish Journal of Electrical Engineering and Computer Sciences

An inductorless wideband low-noise amplifier (LNA) employing a new noise canceling technique for multistandard applications is presented. The main amplifier has a cascode common gate structure, which provides good input impedance matching and isolation. The proposed noise canceling technique not only improves the noise figure and power gain but also embeds a g$_{m}$-boosting technique in itself, which reduces the power consumption of the main amplifier. Using current-steering and current-reuse techniques in the noise canceling branch makes the design realizable and low power. The proposed LNA is simulated and optimized in 0.13 $\mu $m CMOS technology. The LNA achieves a noise …

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Advanced Probabilistic Power Flow Methodology For Power Systems With Renewable Resources, Dinh Duong Le, Nhi Thi Ai Nguyen, Van Duong Ngo, Alberto Berizzi Jan 2017

Advanced Probabilistic Power Flow Methodology For Power Systems With Renewable Resources, Dinh Duong Le, Nhi Thi Ai Nguyen, Van Duong Ngo, Alberto Berizzi

Turkish Journal of Electrical Engineering and Computer Sciences

Renewable~resources have added additional uncertainty to power grids. Deterministic power flow does not provide sufficient information for power system calculation and analysis, since all sources of uncertainty are not taken into account. To handle uncertainties PPF has been introduced and used as an efficient tool. In this paper, we present a cumulant-based PPF approach that can account for various sources of uncertainty in power systems with renewable resources such as wind and photovoltaic energy. We also propose the use of a new methodology to estimate probability distribution for wind power output based on measured data. The proposed approach is carried …

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Traffic Density Estimation Via Kde And Nonlinear Ls, Mi̇kai̇l Erdem, Mehmet Kemal Özdemi̇r Jan 2017

Traffic Density Estimation Via Kde And Nonlinear Ls, Mi̇kai̇l Erdem, Mehmet Kemal Özdemi̇r

Turkish Journal of Electrical Engineering and Computer Sciences

With increasing population, the determination of traffic density becomes critical in managing urban city roads for safer driving and low carbon emissions. In this study, kernel density estimation is utilized in order to estimate traffic density more accurately when the speeds of vehicles are available for a given region. For the proposed approach, as a first step, the probability density function of the speed data is modeled by kernel density estimation. Then the speed centers from the density function are modeled as clusters. The cumulative distribution function of the speed data is then determined by Kolmogorov--Smirnov test, whose complexity is …

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