bluuebunny/crossref_metadata_2025_split huggingface dataset:
Improved Efficiency of photovoltaic Module Based on Fuzzy Logic MPPT Technique
Authors: Abd Alhussain H M , Yasin N M 
Published: March 2020

Abstract
In photovoltaic (PV) systems, the maximum power point trackers are very important for increasing their efficiency. Maximum power can be achieved by using different methods such as P&O, INC so that the PV module can operate under different weather conditions and still produces maximum output power. In this paper, a smart method is presented for a maximum power point tracking (MPPT) based on a fuzzy logic control (FLC). The photovoltaic system consists of a solar panel type MXS 60W, DC-DC boost converter, FLC (MPP) tracker and resistive load are analyzed and simulated in MATLAB program. The output voltage of the solar panel is increased by the boost converter and it depends upon the duty cycle (D) of the MOSFET of the boost converter. Any change in the duty cycle is performed through sensing the output power of the solar panel. The controller tracks the maximum power of a solar panel by adjusting the duty cycle of the DC-DC converter switch. The simulation results show that the FLC controller can track the Maximum Power Point in a shorter time with less power oscillation around the MPP as compared to the most widely conventional method known as perturb and observe (P&O). Both techniques have been modeled and simulated in (MATLAB/Simulink).
Unit commitment problem solution using Local Attracting Quantum PSO algorithm
Authors: Ismail Ali A , Hussain Ali N 
Published: March 2020

Abstract
In power systems, the demand is time-varying throughout the day, week and month. For that reason, the generators have to be scheduled optimally to increase the saving in the power system by applying the Unit Commitment (UC) to the power system. UC is the operation of turning the generators ON and OFF to supply the demand power. This paper suggests Local Attracting Quantum Particle Swarm Algorithm (LAQPSO) to solve the unit commitment dilemma in power systems. The local attractor in the LAQPSO algorithm is utilized to obtain the rotation angle direction and magnitude in order to update the quantum angle by the quantum rotation gate. The proposed algorithm is applied to solve the UC problem for a 10-units power system. A comparison with different techniques in the literature was implemented to validate the efficiency and the accuracy of the proposed algorithm. The results show the superior performance of the proposed LAQPSO algorithm to minimize the total cost when compared to the literature works.
Comparison of Fractional Order Proportional Integral and Proportional Integral Controllers for super-lift Luo converter
Authors: Odhafa Thaer A , Abed Issa A , Obed Adel A 
Published: March 2020

Abstract
Today, as a result of the immense applications which are used the ac-dc then step down voltage by using dc-dc converter such as the charger of mobile as well as for using the power produced from wind and solar power plants. The present work recommends the hypothesis and utilization of the fractional order proportional integral (FOPI) controller to manage and control the suggested super-lift Luo converter. Super-lift Luo converter is considered as modern technology converter which has numerous points of interest over different converters which are introduced in the literature. Fractional order proportional integral is contrasted with traditional proportional integral (PI) to demonstrate the capability of this controller to improve the rendering of the super-lift Luo converter. Various determinations for the response have been likewise estimated in this paper. At last, the FOPI is examined with different estimations of λ and the better worth is chosen. Matlab/Simulink R2017a has been utilized as a simulation software for all the results.
Efficient and Low-Cost Arduino based Solar Tracking System
Authors: Awad Sohaib R , Al Jbaar Mamoon A , Abdullah Mohammed A M 
Published: March 2020

Abstract
Sun energy plays an important role as a primary source of energy which can be harvested successfully using solar cells. The solar cell efficiency depends on the location of sun and its light intensity. Hence, solar tracking can be exploited to maximize the efficiency of solar panel. In this work, we developed a novel system of an inexpensive automatic microcontroller-based scaled down solar tracker using Arduino platform. Servo-motor is controlled by an Arduino Mega unit in order to re-orient the solar panel according to the position of sun with the help of light dependent resistors (LDR) and servomotors. A dual-axis solar tracker prototype is designed to maximize the harvested solar energy. Experimental results show that the proposed system performs 25% better than a fixed solar panel under the same conditions.
Improved Positioning of Delivery Quad copter Using GPS - Accelerometer Multimode Controller and Unscented Kalman Filter
Authors: Alawsi Ahmed Abdulmahdi Abdulkareem , Jasim Basil H , Raafat Safanah Mudheher 
Published: March 2020

Abstract
In last area of technology, the quadrotor helicopter became essential equipment of everyday man use. Delivery by quadcopter has increased significantly in the last few years in different private and military fields because of its indispensable features such as autonomous flight, vertical take-off and landing. Most quadcopters used for delivery service utilize GPS signal for its autonomous flight to control itself and follow the desired path to the destination. Despite the prevalence of autonomous flight, it produces many challenges. GPS signal denial is one of the most critical challenges that may occur. GPS signal denial problem leads to affect the quadcopter control and potentially get lost. Many studies have tried to provide a solution toward this issue, yet, most solutions focused on specific applications and terms rather than achieving a general solution. In this paper, a multimode control algorithm is proposed as a solution for GPS signal denied through the autonomous flight. The algorithm consists of two control modes: GPS and accelerometer modes with Unscented Kalman Filter (UKF). The results show that the proposed algorithm is reliable and suitable for various applications of the quadcopter in different environments. The proposed algorithm can keep the quadcopter under control during GPS signal denial period and continue moving toward the desired path.
Using the Robust High Density-surface Electromyography Features for Real-Time Hand Gestures Classification
Authors: Jaber Hanadi A , Rashid Mofeed T , Fortuna L 
Published: March 2020

Abstract
Using High-Density surface Electromyography (HD-sEMG) signals for gesture classification has augmented the spatial information of muscle activity by increasing the density and convergence of the electrodes. In this paper, spatial features are extracted from HD-sEMG data. These features generated by combining HOG features of HD-sEMG map and intensity features calculated from the average of segmented HD-sEMG map which is denoted as (AIH) features. Real-time evaluation was performed for inter-session identification. The simulation of proposed algorithms is achieved by MATLAB; the result of our experiments achieves high accuracy with good performance based on spatial features reached to 99%. The comparison of our results with other research indicates that the proposed algorithms can enhance the performance and accuracy of gestures identification process by SVM classifier. In addition, the results confirm the robustness of the spatial features to the variation of EMG signals over time.
High Voltage Gain Three Coupled Winding DC-DC Interleaved Boost Converter with Arduino Microcontroller for the PV Panel Control
Authors: Faraj Karrar S. , Hussein Jasim F. 
Published: March 2020

Abstract
In many applications, high-step converters are widely used, including powered vehicles, Photovoltaic (PV) systems, continuous power supplies, Gas lighting and fuel cell systems. The most important requirements in the energy conversion process are reliability, quality, maintenance and size reduction. This paper presents an Interleaved Boost Converter (IBC) to raise voltage gain with three coupled winding. This converter consists of three pairs of coupled inductors to collect energy in parallel and release energy to the series load, which provides a much higher output load voltage than the traditional DC-DC boost converter. To validate the performance, an investigation was introduced by means of steady state analysis and operation. The operation modes and mathematical analysis are presented. Arduino UNO microcontroller was used to implement Pulse Width Modulation (PWM) gate drive based on Maximum Power Point Tracking (MPPT). The DC-DC IBC with High Voltage Gain (HVG) produces low voltage stress across switches, low input and output current ripple, and also improves the efficiency. These features made this converter suitable for applications where a high voltage gain is demanded. This converter was tested using Matlab/Simulink to validate the performance in terms of input and output ripples. The results supported the mathematical analysis. The cancelation of the ripple in input and output voltages has significantly detected. The ripple amplitude is reducing in DC-DC HVG IBC comparing with traditional DC-DC boost converter, and the ripple frequency is doubled. This tends to reduce the output filter losses, and size. Also improves the efficiency of the converter.
A comparative study of the impact of FACTS devices on the voltage stability in the power systems
Authors: Mosheer A D , Alanbary Karrar M , AlKafaji M S Sadiq , Alzwghaibi Aya A 
Published: March 2020

Abstract
Over the past few decades, demand for electricity has increased significantly, whereas expansions in power generation and transmission have been severely restricted due to resource constraints and environmental constraints. As a result, most transmission lines were heavily loaded, and efficiency of the power system became a limiting factor for transmitting electrical power. It is considered a major and demanding problem to establish a secure and stable operation of the electricity networks. Because of its significance, the voltage stability of the power systems has received considerable attention from researchers. Therefore, this paper sheds light on a substantial number of the adopted techniques, including STATCOM and SVC devices to achieve this purpose. A case study was deemed to be an IEEE bus-14 device. To simulate this analysis, a MATLAB package has been utilized. The simulation results showed that by using these methods, the voltage stability of the related system is considerably improved.
Modelling and Simulation Speed Control of DC Motor using PSIM
Authors: Al-Sagar Z S , Saleh M S , Mohammed K G , Sameen A Z 
Published: March 2020

Abstract
Speed control DC motor (SCDCM) methods are widely used in power electronic circuits. This paper presents various SCDCM methods such as armature voltage control, the results show when armature voltage increases, the speed of the motor increases and when the armature voltage decreases, the motor speed decreases. However, in field resistance methods, when the field resistance increases the speed increases and when field resistance decreases the speed is reduced. While in feedback control when using feedback SCDCM method, two blocks have been used, the first block includes reference speed of motor and the second block includes the added value of speed to reference speed of motor. Power simulation (PSIM) is used to design and simulate the DC motor speed control circuits.
Effect of Reynold Number and Angle of Attack on the Hydrodynamic Forces Generated from A Bionic Concave Pectoral Fins
Authors: Naser Farah Abbas , Rashid Mofeed Turky 
Published: March 2020

Abstract
The pectoral fin shape, diameter and speed are the three main parameters for our robotic fish design. The influence of geometrical shape of pectoral fin in labriform mode swimming mechanism is evaluated with the aid of CFD method which is considered as a first step before building the complete design prototype. Two concave shape fins were designed precisely, each of them was attached to a servo motor arm which is in turn connected to a servo motor that is sliding on pair of shafts to work as robot straighter. The two servo motors along with their pectoral fins are placed in lm × 0.5m × 0.5m pool. Different number of angles of attack were tested and the results showed the optimum value is 50°. Further analysis based on Reynold number and its effect on the drag coefficient was investigated carefully. The hydrodynamic forces will be increases with the increasing of angle of attack for all Reynold numbers, which will in turn speed up the overall velocity of the body.
Design of a smart control and protection system for three-phase generator using Arduino
Authors: Ali Ahmed J , Ibraheem Ahmed M T , Mahmood Omar Talal 
Published: March 2020

Abstract
Proper monitoring of electrical apparatus that has power consumption is a step towards efficient energy and saving management. Parameters of electrical power system have wide variations during operation of electrical devices. These changes in the parameters required to be measured using accrued meter. This paper presents design and implementation of AC multi-meter based on Arduino for three-phase synchronous generator. This meter measures the values of load current, terminal voltage and the frequency. In addition, it used to detect the abnormal operation of three-phase synchronous generator (overload, under and over voltage, and low and high frequencies). The multi-meter displayed the measured parameters and the protection status of each data directly on LCD, and serial print of the Arduino software program in PC via USB cable. A smart monitoring for these operation conditions designed using a Bluetooth module. Two sensors have been used with multi-meter; current sensor type ACS-712, and ac voltage sensor type ZMPT101b. The frequency has been measured utilizing the ac voltage sensor signal, i.e. it measured without using any external zero crossing detector hardware circuit.
Three-phase Induction Motor SVPWM-FOC Control Based on PLC Matlab Translation Approach
Authors: Awdaa M A , Obed A A , Saleh A L 
Published: March 2020

Abstract
Industries have been moved from conventional control to programmable logic control (PLC). System control, protection and maintenance for 3-induction motor have to be used in safe controlling process rather than human continuous control. This paper simulates a PLC control system for three-phase induction motor through Matlab simulation. The motor is driven by a space vector pulse with modulation (SVPWM), a three-phase voltage source inverter through a PLC controller. PLC control can employ speed and current control besides initiating a protection signal for abnormal current, voltage and temperature. Moreover, it can be used as a helpful tool for continuous monitoring of any quantity corresponding to the controlled motor. To emulate the control program in Matlab/Simulink software, a translation approach is used. It translates the PLC control program into m-file function block. The results reflect a successful PLC translation control through the results of speed, current and torque during load and no-load conditions.
Computer Vision-Based System for Classification and Sorting Color Objects
Authors: Fadhil A T , Abbar K A , Qusay A M 
Published: March 2020

Abstract
Interest in computer vision has grown considerably in industrial applications of robotic arms such as packaging, sorting, and other applications. The real challenge is how to improve the current sorting system based on image processing in the four-points to identify, manipulate, select and sort objects depending on color and geometry. This paper presents a mechatronic sorting system with the application of image processing using a web camera by sensing existing parts and capturing them in real-time, then defining colors and analyzing geometric data. This information is processed for the handling mechanism. A robotic arm has 5 DOF is used in sorting the objects have different geometries (circle, rectangular, and triangle) and a different color (red, green, blue, brown, orange, and cyan). The project deals with an automated material handling system. It aims to classify color objects by color, size, and geometry, which comes on a conveyor belt by selecting and placing the parts in their pre-programmed location. Image processing is applied in EmguCV and visual studio software. An image is a matrix of pixels, image processing is the processes applied on image to convert it into digital form and implement some process on it to improve an image. The Canny edge detection algorithm is used for shape identification in image processing. A microcontroller with computer vision is used to automate the sorting process. Experimental results reveal the effectiveness, high accuracy and low cost of computer vision with a robotic arm in the sorting process according to color and shape.
Investigation and optimization method for wireless AP deployment based indoor network
Authors: Abdulwahid M M , Al-Hakeem M S , Mosleh M F , Abd-alhmeed R A 
Published: March 2020

Abstract
In indoor communication, when handling the design issue for the wireless network, it is very important to select the appropriate wireless Access Point (AP) devices and specify the optimum locations for these devices deployment. In addition, reducing the total number of disseminated devices. In this paper, it has been investigating the network performance on the presidency building of middle technical university and based on AP deployment in the targeted building. Such investigation has been achieved using Wireless InSite software, based on the calculation of the parameters of path loss, and received power. Results obtained show significant variation in network performance and coverage at a different part of the building. As a result, a significant contribution has been proposed in enhancing the network performance, reducing the number of utilized AP devices from 13 to 8 devices. Furthermore, reducing both the total implementation costs and the interference effects inside the building.
Designing LDPC system using prob domain decoder in Xilinx system generator
Authors: Hasan F S , Azeez R M , Mosleh M F 
Published: March 2020

Abstract
Low-Density Parity-Check (LDPC) code represents a type of Forward Error Correction (FEC) codes, it is a very perfect code with the ability to correct the errors and it has a performance in term of Bit Error Rate (BER) close to Shannon limits. As this code has many features like reliability, flexibility in implementation and a facility of adaptation. So it takes place in the current area of 4G and even 5G network communications. In this paper, an efficient and optimum design for LDPC system using prob domain decoder is implemented using a Xilinx system generator to evaluate its performance in terms of BER, its complexity and the time needed. FPGA device Kintex7 (XC7K325T-2FFG900C) is used for the implementation of the proposed model. The results show that by increasing the Signal to Noise Ratio (SNR), the values of the BER will be improved significantly.
Outdoor to Indoor Wireless Propagation Simulation Model for 5G Band Frequencies
Authors: Muttair Karrar Shakir , Shareef Oras A. , Mosleh Mahmood F. 
Published: March 2020

Abstract
This paper analyses the signals propagation characteristics and the most important obstacles that encountered these signals when transmitted from outdoor to indoor (O2I) antennas for the college buildings. These buildings consists of several floors and built in the 3D form according to the real dimensions. In this study, we used measurement analysis and a ray-tracing simulation model approach based on the use of the Wireless InSite (WI) software. The use of different frequencies related to the fifth generation (5G) which are 10, 17, 30 and 60 GHz. According to the results that appeared, it is observed the increase in frequency will lead to an increase in path loss, decrease the received signal strength (RSS). There is an inverse relationship between frequency increase and delay spread and an inverse relationship between frequency increase and received power. In addition, we noticed that there is a direct correlation between frequency increase and path loss, where increasing frequency will increase the path loss, decrease delay spread and received power. Finally, the building’s barriers work on obstructing the direction of the signals path and dispersion of the received signal strength (RSS).
Secure Data Hiding in Coded Image using Arduino Speech Recognition
Authors: Abd-Alwahab S N , Wali M K , Hasan H H 
Published: March 2020

Abstract
The cover medium is used as an envelope to hide inside information. Embedded data may represent a text, image or video to be transferred in the spread media. In this paper, secret information hiding in coded image is exhibited relying upon quantization level and discrete wavelet transform (DWT). Secret data is encrypted and controlled by Arduino speech recognition board in both transmitter ad receiver side to decrypt these secret data. The color image is utilized as a cover image with the discrete wavelet transform it into another form and Absolute Moment Block Truncation Coding (AMBTC) technique is used for embedding the data. The mapping of secret data and image scrambling is depended on the Henon map, while the logistic map is used to encrypt secret data. The proposed method achieved accurate results in peak signal to noise ratio about 34.0524 at average for tested image.
An Improved Artificial Neural Network Design for Face Recognition utilizing Harmony Search Algorithm
Authors: Hussein Maryam Mahmood , Mutlag Ammar Hussein , Shareef Hussain 
Published: March 2020

Abstract
Face recognition has become an interesting field for researchers where it is used in many applications. One of the most common methods of soft computing is named the artificial neural network (ANN) has been suggested to achieve the face recognition process. Nonetheless, the performance of ANN depends on the number of neurons in the hidden layers and the value of the learning rate. These variables are usually defined based on the trial and error method which is time-consuming. Furthermore, in many cases, it is very difficult to find the optimum value for these variables. Hence, to improve the performance of the ANN for the face recognition process, the optimization algorithm is needed to get promising outcomes. Therefore, this paper introduces an improved ANN design for face recognition using a meta-heuristic optimization algorithm. The ANN represents a distributed processing system consists of neurons which are simply connected elements. One of the most popular techniques for pattern recognition called back propagation algorithm (BP) is used to train the ANN (BP-ANN) to achieve the face recognition process. To enhance the face recognition system performance, the ANN has been hybridized with the well-known meta-heuristic optimization algorithm namely harmony search algorithm (HSA). The HSA based on the principle work of musicians to find the best harmonies. This technique is Implemented based on the results of the fitness function evaluation. In this research, the mean squared error (MSE) has been used as a fitness function. The HSA optimizes the ANN such that the face recognition system provides the lowest MSE and thus enhances the performance of the face recognition system. The accuracy of the optimum hybrid system (HSA-ANN) is investigated using the MATLAB environment conducted for 10 persons. The results revealed that the proposed system (HSA-ANN) achieved lower MSE compare with the ANN. Furthermore, the HSA-ANN gives a better face recognition rate than traditional ANN.