bluuebunny/crossref_metadata_2025 huggingface dataset:
Security Solutions Using Brain Signals
Authors: H.S Anupama. , M Anusha , Joshi Aparna , N Apoorva , Cauvery N.K. , G.M Lingaraju.
Published: April 2019

A Brain Computer Interface is a direct neural interface or a brain–machine interface. It provides a communication path between human brain and the computer system. It aims to convey people's intentions to the outside world directly from their thoughts. This paper focuses on current model which uses brain signals for the authentication of users. The Electro- Encephalogram (EEG) signals are recorded from the neuroheadset when a user is shown a key image (signature image). These signals are further processed and are interpreted to obtain the thought pattern of the user to match them to the stored password in the system. Even if other person is presented with the same key image it fails to authenticate as the cortical folds of the brain are unique to each human being just like a fingerprint or DNA.
Age Constraints Effectiveness on the Human Community Based Genetic Algorithm (HCBGA)
Authors: A. Al-Madi Nagham , A. El-Obaid Amnah
Published: April 2019

In this paper, we use under-age constraints and apply it to the Traveling Salesman Problem (TSP). Values and results concerning the averages and best fits of both, the Simple Standard Genetic Algorithm (SGA), and an improved approach of Genetic Algorithms named Human Community Based Genetic Algorithm (HCBGA) are being compared. Results from the TSP test on Human Community Based Genetic Algorithm (HCBGA) are presented.
 Best fit solutions towards slowing the convergence of solutions in different populations of different generations show better results in the Human Community Based Genetic Algorithm (HCBGA) than the Simple Standard Genetic Algorithm (SGA).
Solving N-Queens Problem Using Subproblems based on Genetic Algorithm
Authors: Humied Ismail. A.
Published: April 2019

Nowadays, permutation problems with large state spaces and the path to solution is irrelevant such as N-Queens problem has the same general property for many important applications such as integrated-circuit design, factory-floor layout, job-shop scheduling, automatic programming, telecommunications network optimization, vehicle routing, and portfolio management. Therefore, methods which are able to find a solution are very important. Genetic algorithm (GA) is one the most well-known methods for solving N-Queens problem and applicable to a wide range of permutation problems. In the absence of specialized solution for a particular problem, genetic algorithm would be efficient. But holism and random choices cause problem for genetic algorithm in searching large state spaces. So, the efficiency of this algorithm would be demoted when the size of state space of the problem grows exponentially. In this paper, the subproblems used based on genetic algorithm to cover this weakness. This proposed method is trying to provide partial view for genetic algorithm by locally searching the state space. This method works to take shorter steps toward the solution. To find the first solution and other solutions in N-Queens problem using proposed method: dividing N-Queens problem into subproblems, which configuring initial population of genetic algorithm. The proposed method is evaluated and compares it with two similar methods that indicate the amount of performance improvement.
Overview of Model Free Adaptive (MFA) Control Technology
Authors: Takialddin Al Smadi , Al-Agha Osman Ibrahim , Alsmadi Khalid Adnan
Published: April 2019

Model-Free Adaptive (MFA) control is a technology that has made a major impact on the automatic control industry. MFA control users have successfully solved many industry-wide control problems in various applications and achieved significant economic benefits. Now, the challenge is extending the many advantages of MFA control technology to diverse and fragmented markets, which could benefit from its unique capabilities. Since single-loop MFA controllers can directly replace legacy PID controllers without the need for "system" redesign (plugand play), they are readily embeddable in various instruments, equipment, and smart control valves. This alleviates concerns relative to cost of change and also makes MFA an appealing tool for OEM applications on a large scale.
Improved Time Training with Accuracy of Batch Back Propagation Algorithm Via Dynamic Learning Rate and Dynamic Momentum Factor
Authors: Al_Duais Mohammed Sarhan , Mohamad Fatma Susilawati.
Published: April 2019

The man problem of batch back propagation (BBP) algorithm is slow training and there are several parameters needs to be adjusted manually, also suffers from saturation training.The learning rate and momentum factor are significant parameters for increasing the efficiency of the (BBP). In this study, we created a new dynamic function of each learning rate and momentum facor. We present the DBBPLM algorithm, which trains with a dynamic function for each the learning rate and momentum factor.
 A Sigmoid function used as activation function. The XOR problem, balance, breast cancer and iris dataset were used as benchmarks for testing the effects of the dynamic DBBPLM algorithm. All the experiments were performed on Matlab 2012 a. The stop training was determined ten power -5. From the experimental results, the DBBPLM algorithm provides superior performance in terms of training, and faster training with higher accuracy compared to the BBP algorithm and with existing works.
Asymptotic Stabilization of Delayed Systems with Input and Output Saturations
Authors: Mahjoub Adel , Derbel Nabil
Published: April 2019

We consider in this paper the problem of controlling an arbitrary linear delayed system with saturating input and output. We study the stability of such a system in closed-loop with a given saturating regulator. Using inputoutput stability tools, we formulated sufficient conditions ensuring global asymptotic stability.
Techno-economic Evaluation of Stand-alone Hybrid Renewable Energy System for Remote Village Using HOMER-pro Software
Authors: Pradhan Ajoya Kumar , Mohanty Mahendra Kumar , Kar Sanjeeb Kumar
Published: April 2019

The off-grid hybrid renewable energy generation system has lesser cost of energy with higher reliability when compared with solar Photovoltaic (PV) or wind energy system individually. The optimization design is worked out by reducing the Unit Cost Of Energy (UCOE) for different case studies and comparing the outcomes obtained by the use of HOMER-Pro (hybrid optimization model of electric renewable) software. The optimal cash flow analysis of hybrid energy system is based on the load patterns is discussed, solar irradiance (kW/m2) of site at proper latitude and longitude, wind speed and price of diesel, which is collected from a remote village in Khurda District, Odisha in India. Moreover, the optimization and sensitivity results of the system are find out by varying the input parameters like solar radiation, wind speed etc.
Stator Inter-turn Fault Detection in Inverter Fed Induction Motor Drives
Authors: Siddiqui Khadim Moin , Sahay Kuldeep , Giri V. K.
Published: April 2019

The Squirrel Cage Induction Motor (SCIM) with advanced power electronic inverters presents the greater advantages on cost and energy efficiency as compared with other industrial solutions for varying speed applications. In recent, the inverter fed induction motors are being popular in the industries. These inverter fed-motors are recently gathering great recognition for multimegawatt industrial drive applications. In this present paper, a dynamic simulation model of PWM inverter fed SCIM with direct torque control jointly has been presented and analyzed in the recent MATLAB/Simulink environment. From the proposed simulation model, the transient behavior of SCIM has been analysed for healthy as well as for stator inter-turn fault condition. The dynamic simulation of induction motor is one of the key steps in the validation of design process of the electric motor and drive system. It is extremely needed for eliminating probable faults beforehand due to inadvertent design mistakes and changes during operation. The simulated model gives encouraging results with reduced harmonics [1]. By using the model, the successful detection of stator inter-turn fault of the SCIM is carried out in the transient condition. Therefore, early stator fault detection is possible and may avoid the motor to reach in the catastrophic conditions. Therefore, may save millions of dollars for industries.
Islanding Detection in a Distribution System with Modified DG Interface Controller
Authors: Subhadra Abbineni Sai , Reddy P. Linga , Modi Shailesh B.
Published: April 2019

Islanding detection of Distributed Generation (DG) is considered as one of the most important aspects when interconnecting DGs to the distribution system. It was the crucial problem in distributed generation. This detection phenomenon having a great importance. These detection methods are divided into active and passive islanding detection. These two methods are based on changing in parameters such as frequency, voltage and current harmonics. But these methods have some challenges such as reduction in power quality and large Non Detection Zone (NDZ). In this paper, the proposed method is change of Total Harmonic Distortion (THD) will be studied for islanding detection diagnosis. The studied system was considered by following the standard IEEE-1547 and UL-1741. The system was simulated using MATLAB/ SIMULINK.
Power Management in Microgrid: Analysis in Grid Connected and Islanded Mode of Operation
Authors: Choudhary Niraj Kumar , Mohanty Soumya Ranjan , Singh Ravindra Kumar
Published: April 2019

This paper presents an investigation about the impact of integrating renewable energy based generation sources on the existing distribution system in terms of load sharing. The study of load sharing among various distributed generators (DGs) and utility grid has been performed for two cases: (a) when equivalent source based DG is connected and (b) when real PV/Fuel cell based DG is properly integrated to the distribution system. The real photovoltaic and fuel cell based DG do not behave as stiff current/voltage source due to disturbances happening either internally in system known as parametric uncertainties or due to external disturbances like weather conditions, load change etc. Further it has been observed with extensive analysis using simulation result, that even though all DGs are of equal capacity in their generation but when the load is either increased or decreased this doesn’t essentially guarantee that all DGs will equally share the active and reactive power demand.
Steady State and Transient Analysis of Grid Connected Doubly Fed Induction Generator Under Different Operating Conditions
Authors: Dhillon Sukhwinder Singh , Lather Jagdeep Singh , Marwaha Sanjay
Published: April 2019

This paper present steady state and dynamic (Transient) models of the doubly fed induction generator connected to grid. The steady state model of the DFIAG (doubly fed asynchronous induction generator) has been constructed by referring all the rotor quantities to stator side. With the help of MATLAB programming simulation results are obtained to depict the steady state response of electromechanical torque, rotor speed, stator and rotor currents, stator and rotor fluxes, active and reactive drawn and delivered by Doubly Fed Asynchronous Induction Machine (DFAIM) as it is operating in two modes i.e. generator and motor. The mathematical steady state and transient model of the DFIAM is constructed for three basic reference frames such as rotor, stator and synchronously revolving reference frame using first order deferential equations. The effect of unsaturated and saturated resultant flux on the mutual inductance is also taken into account to deeply understand the dynamic response of the machine. The steady state and dynamic response of the DFAIG are compared for different rotor voltage magnitudes. Also, the effect of variations in mechanical input torque, stator voltage variations are simulated to predict the stator and rotor currents, active and reactive power, electromagnetic torque and rotor speed variations.
On Load Characteristic of the New Design Permanent Magnets Reluctance Generator
Authors: Pawawoi Andi , Syafii Syafii
Published: April 2019

These The new design of a permanent magnet reluctance generator claimed to be able to convert the energy of the permanent magnet is the source of the main field into electrical energy, so that the generator output power can reach 167% compared with the input power axis. In this paper will discuss the characteristics of the generator voltage when under load, pure resistance, inductive load and caThese The new design of a permanent magnet reluctance generator claimed to be able to convert the energy of the permanent magnet is the source of the main field into electrical energy, so that the generator output power can reach 167% compared with the input power axis. In this paper will discuss the characteristics of the generator voltage when under load, pure resistance, inductive load and capacitive load. The results showed that when given a purely resistive load, the terminal voltage tends to be constant, but if given the inductive load, the voltage drop occurs significantly approaching zero voltage at full load current. It is very different when loaded capacitive load. When the generator under load is capacitive, the generator voltage at full load increased by 224.7% from no-load voltage.pacitive load. The results showed that when given a purely resistive load, the terminal voltage tends to be constant, but if given the inductive load, the voltage drop occurs significantly approaching zero voltage at full load current. It is very different when loaded capacitive load. When the generator under load is capacitive, the generator voltage at full load increased by 224.7% from no-load voltage
Reduced Rating 30-pulse AC-DC Converter for Power Quality Improvement
Authors: Abdollahi Rohollah
Published: April 2019

This paper presents the design and analysis of a novel polygon connected autotransformer based 30-phase ac-dc converter which supplies Direct Torque Controlled Induction Motor Drives (DTCIMD’s) in order to have better power quality conditions at the point of common coupling. The proposed converter output voltage is accomplished via three paralleled 10- pulse ac-dc converters each of them consisting of 5-phase diode bridge rectifier. An autotransformer is designed to supply the rectifiers. The proposed converter requires only three inter-phase transformers in the dc link that leads to the reduced kilovolt ampere rating, size, weight, and cost of the proposed rectifier. The design procedure of magnetics is in a way such that makes it suitable for retrofit applications where a six-pulse diode bridge rectifier is being utilized. The aforementioned structure improves power quality criteria at ac mains and makes them consistent with the IEEE-519 standard requirements for varying loads. Furthermore, near unity power factor is obtained for a wide range of DTCIMD operation. A comparison is made between 6-pulse and proposed converters from view point of power quality indices. Results show that input current Total Harmonic Distortion (THD) is less than 3% for the proposed topology at variable loads.
Ecological and Economical Friendly Analysis of A Hybrid Solar-Grid-Diesel Connected Power Generation System
Authors: Qonain Rafat , Rafi Malik , Khan Imran , Sageer Shivley
Published: April 2019

This paper presents Importance of hybrid power system. This paper depicts model and simulation of a renewable energy based hybrid power system for improving power quality because optimal utilization of primary energy sources will increase the level of supply reliability. The combination of Grid, Photo Voltaic (PV) Array System, and Diesel generator systems are used for power generation. Due to variation in output power of solar panel, Diesel engine is also coupled to ensure reliable supply under all conditions. The results shows that the proposed hybrid power system can effectively manage the optimal utilization of primary energy sources and improves the power quality in an islanding as well as grid connected mode.
Three Area Power System Load Frequency Control Using Fuzzy Logic Controller
Authors: Balamurugan C. R.
Published: April 2019

System frequency is one of the most important parameters of a power system. Du to generation-load mismatches, the system frequency can vary over a small range. When the power consumed by loads and overall losses is greater than the generated power, the operating frequency of the system will decrease, resulting in a situation known as the under frequency condition. In some other case, if some of the loads in a system are disconnected from the system suddenly, or lost, it leads to a condition called as the over frequency condition. This condition is char acterized by greater input power than the consumed power by the loads. The rest of the loads in the system will absorb the extra power and the generator inertia, leading to an increase in the system frequency. In both the cases, the system frequency fluctuates from the power system’s limited frequency range, further leading to tripping off of the substation and further collapsing of the entire system. The paper describes a new method employing a smart meter to monitor and control the power system frequency which changes according to the loading conditions in the system, whether under load condition or overload condition.
 
Modelling and Control Design for Energy Management of Grid Connected Hybrid PV-wind System
Authors: Abouobaida Hassan , El Bied Said
Published: April 2019

This paper deals with the control of hybrid PV-WIND power conversion structure. This paper develops a very important contribution which is the use of a single DC to DC converter, linearization of control of the three- level boost converter (TLBC) considering the imperfections of the passive components. The (TLBC) control provides balancing of capacitor voltages and maximum power operation of PV generator. For reasons of simplicity, a linearization based on the dynamic compensation of the disturbance is proposed. A sensorless maximum power point tracking (MPPT) algorithm is used to maximize a power extracted of the wind generator. The proportional relation between the rotational speed and the output voltage of the rectifier allows to use a voltage sensor to estimate the DC bus voltage reference instead of a mechanical speed sensor. The control of the three-phase inverter allows a transfer of the active power, the power factor close to the unit and thus a limitation of the reactive power injected into the grid. The external control loop performs the regulation of the common DC bus voltage while the internal control loop regulates the dq components of the currents injected into the grid. The simulation results showed the validity of the control approach. The proposed power conversion structure based on a single static converter has shown very good performance in terms of efficiency, the quality of the energy produced, complementarity between the two renewable sources and reliability. The paper ends with conclusions.
Sensorless Control of Brushless Doubly-Fed Generator Using Luenberger Observer Based Wind Energy Conversion Systems
Authors: Serhoud Hicham , Benattous Djilani
Published: April 2019

This paper investigates the use of Luenberger observer for sensorless power control of brushless double fed induction machine (BDFM) in wind energy conversion systems, the control strategy for flexible power flow control is developed by applying flux oriented vector control (technique), In order to estimate the rotor speed, an adaptive algorithm based on Lyapunov stability theory will be design. Finally the analyzed and simulation results in MATLAB/ Simulink platform confirmed the good dynamic performance of this new sensorless control for BDFG based variable speed wind turbines.
A novel wavelet packet transform based fault identification procedures in HV transmission line based on current signals
Authors: Adly Ahmed R. , Sehiemy Ragab A. El , Elsadd Mahmoud A. , Abdelaziz Almoataz Y.
Published: April 2019

This paper presents an adaptive fault identification algorithm bases on wavelet packet transform (WPT) for two-terminal power transmission lines. The proposed scheme performs four functions which are the fault detection, fault classification, distinguishing among the temporary and the permanent faults, and detection of the arc extinguish instant. The presented algorithm only uses the measured current at one terminal reducing the required cost. Also, it can mitigate the error resulting from the load variations via updating the presetting value. Consequently, it does not need retesting under changing the transmission system configurations. The proposed scheme is deduced in the spectral domain and depended on the application of the WPT. The db6 wavelet packet is used for decomposing the faulty phase current waveform (level 7) to get the energy coefficients. The presented algorithm is assessed under various fault conditions such as fault distances, inception angles, and faults nature via simulating different secondary arc models via using ATP/EMTP. The obtained results are investigated and evaluated.
Grid connected mega-watt range solar power plant in India: experimental measurement & performance analysis
Authors: Raja J. , Jain Nishant , Rajan C. Christober Asir
Published: April 2019

in India to meet its future energy demand. This paper emphasis on the performance assessment of grid connected mega-watt solar power plant which is of 23MW and 5MW are located in different geographical location in India. Performance assessment is the finest way to determine the potential of energy generation in solar power plant and it also helps in evaluating the design, operation and maintenance of existing and future solar power plant. The parameters namely calculation of annual energy generated, reference yield, final yield, system losses, cell temperature losses, performance ratio and capacity utilization factor are considered in examining solar power plant performance. In this study experimental measurement of two solar power plant one is located in Gujarat (23MW) and another in Andhra Pradesh (5MW) are compared with the results of estimated model from METEONORM 7.1 and PVSYST V6.67 software tools. Experimental measurement at solar power plant location covers the following measurement for analysis like actual weather condition, daily/hourly irradiance, actual energy yield and compares with capacity utilization factor, performance ratio and temperature corrected performance ratio parameters. The results demonstrated in this paper show the gap between the actual performance of solar power plant and the estimated model from software tool. Performance of solar power plant is satisfactory in comparison with other literature reviews. The actual annual energy generated for 23MW solar power plant was 37991MWh, 18.83% capacity utilization factor, 73.87% performance ratio and 75.33% temperature corrected performance ratio. Similarly, the actual annual energy generated for 5MW solar power plant was 9047.7MWh, 18.41% capacity utilization factor, 80.31% performance ratio and 79.90% temperature corrected performance ratio.
A comparison study between fuzzy PWM and SVM inverter in NSMC control of stator active and reactive power control of a DFIG based wind turbine systems
Authors: Benbouhenni Habib
Published: April 2019

In this work, we present a comparative study between space vector modulation (SVM) and fuzzy pulse width modulation (FPWM) technique in neuro-sliding mode control (NSMC) of stator reactive and stator active power control of the doubly fed induction generator (DFIG) for wind turbine system (WTS). Two controls approach using NSMC-SVM and NSMC-FPWM control scheme are proposed and compared. The validity of the proposed control techniques is verified by simulation tests of a DFIG. The reactive power, rotor current and stator active power is determined and compared in the above strategies. The obtained results showed that the proposed NSMC with FPWM strategy has stator reactive and active power with low powers ripples and low rotor current harmonic distortion than SVM technique.
Current control of grid-connected inverter using integral sliding mode control and resonant compensation
Authors: Yoon Seung-Jin , Nguyen Thanh Van , Kim Kyeong-Hwa
Published: April 2019

To eliminate the adverse effect from parameter variations as well as distorted grid conditions, a current control scheme of an LCL-filtered grid-connected inverter using a discrete integral sliding mode control (ISMC) and resonant compensation is presented. The proposed scheme is constructed based on the cascaded multiloop structure, in which three control loops are composed of grid-side current control, capacitor voltage control, and inverter-side current control. An active damping to suppress the resonance caused by LCL filter can be effectively realized by means of the inverter-side feedback control loop. Furthermore, the seamless transfer operation between the grid-connected mode and islanded mode is achieved by the capacitor voltage control loop. To retain a high tracking performance and robustness of the ISMC as well as an excellent harmonic compensation capability of the resonant control (RC) scheme at the same time, two control methods are combined in the proposed current controller. As a result, the proposed scheme yields a high quality of the injected grid currents and fast dynamic response even under distorted grid conditions. Furthermore, to reduce the number of sensors, a discrete-time reduced-order state observer is introduced. Simulation and experimental results are presented to demonstrate the effectiveness of the proposed scheme.
Maximum power point tracking of partially shading PV system using cuckoo search algorithm
Authors: Ibrahim Ahmed , Aboelsaud Raef , Obukhov Sergey
Published: April 2019

This paper presents a cuckoo search (CS) algorithm for determining the global maximum power point (GMPP) tracking of photovoltaic (PV) under partial shading conditions (PSC). The conventional methods are fail to track the GMPP under PSC, which decrease the reliability of the power system and increase the system losses. The performance of the CS algorithm is compared with perturb and observe (P&O) algorithm for different cases of operations of PV panels under PSC. The CS algorithm used in this work to control directly the duty cycle of the DC-DC converter without proportional integral derivative (PID) controller. The proposed CS model can track the GMPP very accurate with high efficiency in less time under different conditions as well as in PSC.
MATLAB/Simulink modelling and simulation of 9-level cascaded h-bridge multilevel inverter with mismatched DC sources
Authors: Yong W. V. , Chye M. S. , Tan Y. C. , Ong S. L. , Leong J. H.
Published: April 2019

This paper presents a MATLAB/Simulink model for a 9-level cascaded H-bridge multilevel inverter with mismatched DC voltage sources. The impact of mismatched DC voltage sources on the performance of the 9-level CHBMI is investigated. Due to the mismatched voltages among DC voltage sources, the output fundamental voltage is different from the input reference voltage. To address this problem, a switching-angle calculation technique that accounts for mismatched as well as varying DC voltage sources is demonstrated. The switching angles obtained using this technique is able to produce the desired output fundamental voltage for a wide range of input reference voltages. Since this switching-angle calculation technique does not require complex iterative computation, it has the potential for real-time implementation.
Development of square wave inverter using DC/DC boost converter
Authors: Aihsan M. Z. , Ahmad N. I. , Mustafa W. A. , Rahman N. A. , Soo J. A.
Published: April 2019

This paper proposes an alternative topology of an inverter to the existing topologies available in the market. A prototype is intended with the purpose of investigates the possibility of designing an inverter using two Boost Converters. This project initialized with a series of simulations using Matlab in order to determine the feasibility of the proposed topology. The next step is the design and development of the proposed prototype where suitable electronics components are chosen based on the simulation result. A PIC microcontroller is used to control the proposed prototype where a control scheme is created based on the programming in the microcontroller. The performance of the proposed prototype has been verified to be optimum by several practical testing using different values of capacitor, inductor and duty cycle. Lastly, data and analysis are presented in a proper mannered way. In the end, this project intends to produce stepped-up square wave output voltage waveform by proper controlling of two Boost Converters.
Optimization of the fuel economy and emissions for plug in hybrid electric recreational boat energy management strategy using genetic algorithm
Authors: Norbakyah Jabar Siti , Salisa Abdul Rahman
Published: April 2019

Today, the transportation sector has undergone a change from conventional vehicle to hybrid electric vehicle especially land-based with the aim to reduce fuel consumption and emissions. However, water transportation is also one of the contributors of excessive use of fuel and emissions. Therefore, water transport needs changes as it has been done on land transport, especially cars. In this paper, plug in hybrid electric recreational boat (PHERB) is introduced. PHERB is a special model because in PHERB powertrain configuration, it only needed one EM compared to existing configuration with energy management strategy (EMS).  In this work, the optimal EMS for PHERB are presented via genetic algorithm (GA). To estimate the fuel economy and emissions, the model of PHERB is employed numerically in the MATLAB/SIMULINK environment with a special EMS using Kuala Terengganu (KT) river driving cycle. Simulation result of PHERB optimization using GA improve to 15% for KT river driving cycles without violating the PHERB performance.
Path Planning of the Fire Escaping System Using Active Detection Module
Authors: Yao Ting Ying , Sheng Wang Huan , Lan Su Kuo
Published: April 2019

This article proposes a security system which detects the fire events and plans the moving route. Each robot with several modules owns the shape of cylinder and height, weight and diameter is 18cm, 1.5kg and 8cm. A main controller (STC12C5A60S2) equips robots as a microprocessor. Each robot has the capability to escape from the fire scene. Whenever detecting fires and obstacles using image sensor and reflective IR sensors, robots send the ID code, orientation, and position to the centralized computer and other robots. After other robots have confirmed the fire events, the centralized computer uses the Gaussian probability function to calculate the danger values of the surrounding points near the fire source. And Bayesian estimation method is applied to compute the total estimated value of each point in platform. Furthermore, the total weighted values of all points are shown in a platform and its aim is to enlarge the difference between danger and safety without ambiguity. A* algorithm is used in the escaping routes are planned by a centralized computer. The mobile robot follows the leading of the supervised computer autonomously to escape from dangerous areas. The air-fuel ratio and the rate of increasing in temperature with distance are directly proportional to the danger value. Associating the increasing temperature rate with three-fire sources, it is verified to be an efficient system.
Designing of Robot Gamelan Music using ATmega 16 Microcontroller
Authors: Azhar Handri Jir , Hadary Ferry , Syaifurrahman Syaifurrahman
Published: April 2019

This paper presents a robot concept which is the robot can play the instrumental Gamelan music. Gamelan is a percussive instrument. Instrumental Gamelan music keys are consist of 2 octaves in 15 tones. Robot Gamelan music is using proportional-derivative (PD) control system. PD control of the robot is by controlling DC gear motor position to desired Gamelan key position. Robot Gamelan music using ATmega 16 microcontroller as a controller. Feedback of PD control is using magnetic rotary encoder (MRE) sensor. PD control is using the constant. The constant functions of PD control are determining the pulse width modulation (PWM) toward DC gear motor velocity in order to reposition a gamelan key position and pushing down the errors.
Discrete-time Inversion Model Control of a Double-damper System with Uncertain Parameters
Authors: Hannachi Marwa , Ahmed Ikbel Bencheikh , Soudani Dhaou
Published: April 2019

This paper addresses the control at discrete time of physical complex systems multi-inputs multi-outputs with variables parameters. Classified among the robust control laws the Internal Model Control (IMC) is adopted in this work to ensure the desired performances adjacent to the complexities of the system. However, the application of this control strategy requires that these different building blocks be open loop stable, which invites us, on the one hand, to apply the algebraic approach of Kharitinov for delimiting the summits stability domain’s system. On the other case, the Linear Matrix Inequalities (LMI) approach is applied to determine the corrector’s stability conditions obtained by a specific inversion of the chosen model. It is in this sense that we contribute by this work to execute the command by inversion the discrete-time model in order to ensure the stability and to maintain the performances the stability conditions of required for the double damper system with variable parameters.
Maximum Wind Energy Extraction by Using Neural Network Estimation and Predictive Control of Boost Converter
Authors: Heidari Mahdi
Published: April 2019

This paper proposes a new method to extract maximum energy from wind turbine systems. The artificial neural network (ANN) is used to estimate the wind speed based on the rotor speed and the output power. In addition to ANN, a predictive controller is used to maximize the efficiency of the boost converter. The method has been developed and analyzed by utilizing a turbine directly driven permanent-magnet synchronous generator (PMSG). The simulation results verify the performance of the proposed method. Results show that this method maximizes wind energy extraction with more accuracy and fastness.
Analysis of ANFIS MPPT Controllers for Partially Shaded Stand Alone Photovoltaic System with Multilevel Inverter
Authors: Ramesh T. , Saravanan R. , Sekar S.
Published: April 2019

This work presents a unique combination of an boost converter  run by a set of two photovoltaic panels (PV) with a MPPT, suitable to guarantee MPP even under partial shadowed conditions, managed by an adaptive neuro fuzzy inference system (ANFIS) trained by the training data derived from a Perturb and observation (P&O) conventional algorithm. The single phase cascaded H bridge five-level inverter (CHI) driven by the individual outputs of the boost converter, with selective harmonic elimination scheme to eliminate typically the seventh order harmonics. Simulation was carried out in the MATLAB/SIMULINK environment validated the proposed scheme. It has been thus established; by both simulations the ANFIS model of MPPT scheme outperforms other schemes of conventional control algorithm.
Modelling and Passivity-Based Control of a Non Isolated DC-DC Converter in a Fuel Cell System
Authors: Ahmed Moutabir , Elhassane Abdelmounim , Mohamed Aboulfatah
Published: April 2019

This paper presents the model of a fuel cell and the design and simulation of a cascade of two DC-DC converters. First, a detailed mathematical model of fuel cell is presented and simulated. Then, a nonlinear model of the whole controlled system is developed and a robust nonlinear controller of currents is synthesized using a passivity-based control. A formal analysis based on Lyapunov stability and average theory is developed to describe the control currents loops performances. A classical PI controller is used for the voltages loops. The simulation models have been developed and tested in the MATLAB / SIMULINK. Simulated results are displayed to validate the feasibility and the effectiveness of the proposed strategy.
Smart Home Automation System based on Arduino
Authors: Amine Bouzid Mohamed , Zohra Chaib Fatima , Ilyes Hamani , Lahcen Aid , Tayeb Allaoui
Published: April 2019

Intelligent home environments are environments that attempt to ease the user's life in different ways and make it more comfortable using the technology. This paper present the principle of realizing a home control interface based on an. Arduino UNO R3 board equipped with a programmable ATmega328 microcontroller. The sketch to be uploaded to the Arduino is written in C language. A desktop application was created in C # language to communicate with the Arduino via the serial port, thus facilitating repetitive tasks such as lighting control, opening / closing doors. A temperature / humidity sensor, an alarm (motion sensor + buzzer), garden lighting and automatic control of the TV via an IR receiver + IR transmitter have been added without forgetting manual control
Design of Robust Controller for Higher Order Interval System using Differential Evolutionary Algorithm
Authors: Rao D. Srinivasa , Kumar M. Siva , Raju M. Ramalinga
Published: April 2019

This paper describes the design of the robust PI/PID controller for the higher order interval system via its reduced order model using the differential evolution (DE) algorithm. A stable reduced interval model is generated from a higher order interval system using the DE in order to minimize the cost and reduce the complexity of the system. This reduced order interval numerator and denominator polynomials are determined by minimizing the Integral Squared Error (ISE) using the DE. Then, using reduced order interval model, a robust PI/PID controller is designed based on the stability conditions for determining robust stability of interval system. Finally, using these stability conditions, a set of inequalities in terms of controller parameters is obtained from the reduced order closed loop characteristic polynomial. Then these inequalities are solved to obtain robust controller parameters with the help of a DE algorithm. The designed, robust controller from the reduced order interval model will be attributed to the higher order interval system. The designed PI/PID controller from our proposed method not only stabilizes the reduced order model, but also stabilizes the original higher order system. The viability of the proposed methodology is illustrated through the numerical example of its successful implementation. The efficacy of the proposed methodology is also evaluated against the available approaches presented in the literature and the results were successfully implemented.
Self-tuning Fuzzy Task Space Controller for Puma 560 Robot
Authors: Azarfar Azita
Published: April 2019

Since in most robot applications the desired paths are determined in task space or Cartesian space, it is important to control the robot arm in task space. In this paper a fuzzy controller with modifiable scaling factors is proposed to control the robot end-effector in task space. The controller is a fuzzy system with a mechanism to change the scaling factors when the error is bounded under a predetermined value. The controller is designed in joint space and is developed to work space by using inverse Jacobian strategy. The simulations results on Puma 560 robot manipulator illustrate the high performance of presented control method.
Queued-Stack Dataflow Processing Element for a Cognitive Sensor Platform
Authors: McDermott Mark
Published: April 2019

This paper describes a Queued-Stack (QS) Dataflow Processing Element (DPE) that is used in a cognitive sensor platform. The queued-stack is used for buffering input data to the DPE and for storage of variables and results. The queuing mechanism and dataflow protocol provides the capability to compose multi-node computational systems where communication between elements is via non-blocking FIFO channels. System composition is achieved using synchronous dataflow tools such as SDF3 or Ptolemy. The dataflow-processing element is implemented using single cycle micro-coded engine where the ratio of datapath transistors to control logic is optimized for programmable energy-performance sensitive applications.
VHDL Implementation of H.264 Video Coding Standard
Authors: A. Suthar Haresh
Published: April 2019

This Paper contains VHDL implementation of H.264 video coding standard, which is new video coding standard of the ITU-T Video Coding Experts Group and the ISO/IEC Moving Picture Experts Group. The main goal of the H.264/AVC standardization effort is to enhance compression performance and provision of a “network-friendly” video representation addressing “conversational” (video telephony) and “no conversational” (storage, broadcast, or streaming) applications.H.264 video coder standard is having fundamental blocks like transform and quantization, Intra prediction, Inter prediction and Context Adaptive Variable Length Coding (CAVLC). Each block is designed and integrated to one top module in VHDL.
Implementation of Video Capture and Playback in Mobile Systems
Authors: Dessai Sanket , Ramakrishna K
Published: April 2019

Mobile phones are backbone of the mobile communications and have experienced fastest growing segment in the consumer market. In the 3G and 4G mobiles, video recording is an essential entertainment features so the user can record and play the video within the mobile phone. In this paper, video capture and playback implementation had been carried out by integrating the camera module to the GSM phone. An alaysis of the video processing had been carried out. Image sensor and LCD module had been interfaced with the base band processor through the video processor. To interface the different module necessary PCB schematic diagram had been arrived. Software implementation had been carried out for the Human Machine Interface for various settings of the camera module, which is integrated with the video processor. The developed playback system had been tested for the various senerious. In this video has been captured through the camera sensor and at the time of playback measured the resolution, power consumption and image transfer rates of the various modules used in the developed camera phone.
FPGA Based Firewall using Embedded Processor for Vulnarability Packet Detection
Authors: Hasan Mohamed Yousuf , V.P Poornima , S Sujendran , D Karthikraja
Published: April 2019

This paper describes the design of high performance packet filtering firewall using embedded system. An FPGA (field programmable gate array) platform has been used for implementation and analysing the network firewall. It is capable of accepting real time changes. This network security application has an ability to perform powerful protection against unwanted data packets such as virus attack, spam in e-mails, hackers, worms, spyware unauthorized contents. However the firewalls don’t address the difficulty of unwanted data packets intrusion. The ultimate aim of this work is to create a systematic way of approach for unwanted packets discard in a network system. We use a specially trained algorithms such as Wu-manber algorithms (high performance, multi-pattern matching), bloom filter algorithm (space efficient data structure for testing an element in the set.Our design is mainly based on machine learning and artificial intelligence. This gives a high efficiency, improved performance and high ability of packet detection with less contribution of time in an effective way.
FPGA Evaluation of Reconfigurable Modules With Fault Detection and Repair Technique
Authors: C Pradeep , R Radhakrishnan
Published: April 2019

This paper proposes a fault detection and repair algorithm which is suitable for fault free reconfigurable systems. In recent years Built in Self Repair digital systems have got very important role in the applications such as nuclear systems, space missions and communication systems etc where system reliability is very critical . Systems designed  to operate in critical conditions will collapse due to even a single fault occurrence. To avoid these situations  many methods have developed in recent years. This work proposes an area efficient and fast fault detection and repair algorithm.  For the evaluation of the new approach and older methods a system with a standalone module and four add on modules were designed and evaluated for resource utilization using XUPV5 board. The entire FPGA is divided in to tiles and each module is implemented in different tiles using partial reconfiguration method using Xilinx Plan Ahead 14.2 with partial reconfiguration facility.
Bilinear Interpolation Image Scaling Processor for VLSI Architecure
Authors: Dilip Pawar Ashwini , Rameshbabu K , Ashok Kanase Prajakta , Shivdas Shital Arjun
Published: April 2019

We introduce image scaling processor using VLSI technique. It consist of Bilinear interpolation, clamp filter and  a sharpening spatial filter. Bilinear interpolation algorithm is popular due to its computational efficiency and  image quality. But resultant image consist of blurring edges and aliasing artifacts after scaling. To reduce the blurring and aliasing artifacts sharpening spatial filter and clamp filters are used as pre-filter. These filters are realized by using T-model and inversed T-model convolution kernels. To reduce the memory buffer and computing resources for proposed image processor design two T-model or inversed T-model filters are combined into combined filter which requires only one line buffer memory. Also, to reduce hardware cost Reconfigurable calculation unit (RCU)is invented. The VLSI architecture in this work can achieve 280 MHz with 6.08-K gate counts, and its core area is 30 378 μm2 synthesized by a 0.13-μm CMOS process.
Application of New Approach of design flow for Hardware/Software Embedded System with the Use of Design Patterns in Fuzzy control system
Authors: Bouyahya Ali , Manai Yassine , Haggège Joseph
Published: April 2019

This paper present a new method of conception of hardware/software embedded system design methodology based on use of design pattern approach called Abstract_factory. We called this new design tool “smart cell”. The main idea of the conception of embedded systems design is based on the used of object-oriented design ULM2.0. When the smart-cell is implemented, we justify their uses as a design tool that allows, first, to develop a specified application of fuzzy controller called PDC (parallel distributed conpensation). Second, the specification of the generation phases of the system architecture design, and eventually partitioning the application on heterogeneous platform based on hardware resource DSP and FPGA software to illustrate the proposed approach.
FPGA Synthesis of Reconfigurable Modules for FIR Filter
Authors: R Saranya , C Pradeep , Baby Neena , R Radhakrishnan
Published: April 2019

Reconfigurable computing for DSP remains an active area to explore as the need for incorporation with more conventional DSP technologies turn out to be obvious. Conventionally, the majority of the work in the area of reconfigurable computing is aimed on fine grained FPGA devices. Over the years, the focus is shifted from bit level granularity to a coarse grained composition. FIR filter remains and persist to be an important building block in various DSP systems. It computes the output by multiplying input samples with a set of coefficients followed by addition. Here multipliers and adders are modeled using the concept of divide and conquer. For developing a reconfiguarble FIR filter, different tap filters are designed as separate reconfigurable modules. Furthermore, there is an additional concern for making the system fault tolerant. A fault detection mechanism is introduced to detect the faults based on the nature of operands. The reconfigurable modules are structurally modeled in Verilog HDL and simulated and synthesized using Xilinx ISE 14.2. A comparison of the device utilization of reconfigurable modules is also presented in this paper by implementing the design on various Virtex FPGA devices.