bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research on Terrain Radiation Correction Based on PALSAR Dual Polarization Radar Image
Authors: Zheng Jie , Sun Jiaojiao , Wang Zilong , Xue Dongjian , Guo Yijiang 
Published: March 2020

Abstract
In the rugged mountains, the undulations of the terrain will affect the geometric and radiation characteristics of SAR imaging, resulting in SAR image distortion, which hinders its comprehensive application in the field of land subsidence monitoring, landslide disaster monitoring and so on. This article takes ALOS PALSAR as an example, combined with satellite orbit fitting technology to optimize parameters, based on the R-D positioning model, using DEM to simulate SAR images and extract parameters such as local incident angle, projection angle, and backscatter coefficient. The simulated SAR image is used to achieve the ortho-rectification of the original SAR image. The calculation method of the local incidence and projection angles and the backscattering coefficient is used to construct the terrain radiation correction model of the SAR image. The experimental results show that the research method is significantly effective, the mean square error of the radiant intensity of the image after correction is significantly reduced, and the texture characteristics of the image are significantly enhanced. This has certain practical significance for the application researchon SAR image in information extraction, interpretation, quantitative analysis and parameter inversion.
Feasibility Study of Soil and Water Conservation Project in a Small Watershed Based on Analytic Hierarchy Process
Authors: Zhang Jinglin 
Published: March 2020

Abstract
Aiming at the problem of soil and water loss, the multi-objective feasibility analysis of the soil and water conservation construction project was carried out. The analytic hierarchy process was used to establish a feasibility study comprehensive evaluation hierarchy analysis structure model, and the multi-indicator and feasibility of the research project were analysed. The conclusions have a wide range of applicability, which can well guide the planning and implementation of the project, and ensure that the problem of soil erosion is properly managed.
Simulation and experimental study on the airflow distribution in rectangular cross-section tunnels
Authors: Ding Cui , Meng Yanhua 
Published: March 2020

Abstract
Ventilation is quite important for mine safety. The airflow behavior and the influence of the ventilation parameters on the airflow distribution in rectangular tunnels were investigated by experimental and simulation methods. Then the relationship between the distribution feature of the average velocity and the parameters of tunnel cross-section was analyzed quantitatively by mathematical method. The results showed that the average velocity points show a continuous circular distribution and the simulation results were in accordance with the experimental results. The shape of cross-section is the critical factor influencing airflow behaviour, and the ventilation velocity had little influence on the distribution of the average velocity points. In the region where the velocity was larger than the average velocity, the velocity gradient was small, and as the distance to the wall increased, the velocity increased slowly. While in the region where the velocity was smaller than the average velocity, the velocity gradient was large, and the velocity changed more quickly. Based on the simulation and experimental data, a group of the characteristic equations were developed and the location of the average velocity can be obtained conveniently while the dimension of the tunnel was known.
Applicaton of comprehensive evaluation method of advantage channel in a block of Shengli Oilfield
Authors: Zhang Yanyu , Liu Tailin , Sun Xiaofei , Wang Xiangyu , Gong Hangfei 
Published: March 2020

Abstract
Using geological factors, production dynamics, dynamic monitoring and other data, the fuzzy comprehensive evaluation method and the linear water-driven system modeling method based on fuzzy particle swarm optimization are used to comprehensively identify the dominant seepage channel in a block of Shengli Oilfield. An identification system for the advantage channel of the block is formed. Let V ‘(T) be the partial derivative of reser
Reliability Analysis of Large Span Cable-stayed Bridges Based on Support Vector Machine
Authors: Wang Yu , Duan Kaikai , Liu Laijun , Guo Hongchao 
Published: March 2020

Abstract
a method of combining the support vector machine and the intelligent algorithm to perform reliability analysis on large span cable-stayed bridges was proposed in this paper. The algorithm is verified by an example, which shows that the algorithm has higher precision and can be extended to the actual project. Therefore, this paper takes Jiangmen North Street Waterway Bridge as the engineering background, uses the finite element software ANSYS to establish the cable-stayed bridge model and MATLAB software to compile the intelligent algorithm and data processing. It mainly analyzes the reliability of the main beam mid-span deflection, the cable stress and main tower stress of the North Street Waterway Bridge. Finally, the general limit range method is used to estimate the reliability index of the North Street waterway bridge structure system. The results show that the cable stay failure has the greatest impact on the reliability of the entire structural system, so it is necessary to pay attention to the maintenance and monitoring of stay cables.
Study on the Invasion Mechanism of Alien Species through Ship Activities
Authors: Lan Ru , Qiao Bing 
Published: March 2020

Abstract
This paper analyzes the harm of invasion of alien species caused by ship activities, and expounds the necessity and urgency of carrying out relevant research in China. This paper summarizes the research progress at home and abroad, analyzes the research defects, and proposes that the research on the invasion mechanism of alien species caused by ship activities in China should focus on solving the major scientific problems such as the process and evolution of the invasion disaster, the interaction between the invasion and the offshore ecological environment security. In addition, it is necessary to consider the different invasion stages of alien species, such as invasion-escape period, population establishment period, latent-lag period and spread-outbreak(disaster) period. Finally, the key technologies and implementation plans to solve major scientific problems are proposed. The results show that, the interpretation of the model is generally consistent with the actual situation. Through database construction and typical species experiments, the theoretical model of alien invasion mechanism introduced by ship activities is interpreted and proved.
Simulation and Implementation for Detection and Protection of Stator and Rotor Faults in 3-Ph Induction Motor Using Wavelet Energy Approach
Authors: Hussein Ameer M , Mustafa Fawzi M , Obed Adel A 
Published: March 2020

Abstract
Induction motors are affected by many electrical faults that are caused by work stress. These faults need to be detected and treated during the first moments of its occurrence to avoid damage of these motors. In this work, an algorithm that based on wavelet packet transforms (WPT) and wavelet energy approach (WE) is proposed. The algorithm is developed depending on moving frame strategy to check the current motor signal with each digital sample. This algorithm is applied on two induction motors, the first represents modeling of induction motor in Matlab2019a while the second is an implementation of real 3-Ph induction motor. The results show accurate detection and diagnosis of the faults with high speed in isolating the power supply from the motor.
Confronting to Non-linear Events and Enhancing the System on the Basis of PV-UPFC
Authors: Hussein A. S. , Hawas M. N. 
Published: March 2020

Abstract
Electric power systems are exposed to various types of Power Quality (PQ) disturbances. A PQ assessment is necessary to maintain the accurate operation of electrical sensitive equipment and to ensure its maintenance. Therefore, there will be a need to investigate and mitigate PQ events. In our modern times, we have noticed that AC distribution systems suffer from very consistent pollution to use a lot of loads as these loads generate harmonics that reduce the power quality of the system. The main objective of this paper is to conserve PQ through Flexible Alternating Current Transmission Systems (FACTS) such as Unified Power Flow Controller (UPFC) using Photovoltaic (PV) arrays. In addition, the system is designed during a generator source with a wind power generator where the results are compared before and after the control on each bus with the display of harmonics of current and voltage. Finally, the results presented in this paper indicate the ability of the UPFC to control the event and inflation and reduce the harmonics.
High Performance Rectifier/Multilevel Inverter Based BLDC Motor Drive with PI Controller
Authors: Hasan Mohammed S , Sharaf Almakhturi F , Albakhait Mohammed D , Jaber Ahmed I 
Published: March 2020

Abstract
BLDC motor has many applications in high power systems. Whereas, it is easy to construct and design, cheap and needs less maintenance, with high efficiency, high output power, and high torque. By taking advantage of power electronics drives, a rectifier/multi-level inverter can improve the operation of BLDC motor in medium and high applications. In this research, a mathematical model of BLDC motor drive by rectifier/MLI has been simulated using Matlab/Simulink. Whereas, a proposed model system was built, with a two-part motor drive circuits: a three-phase full-wave fully controlled rectifier, and a three-level inverter. The pulses circuit is designed for rectifier and three-level inverter individually using PWM. Also, THD in the output of a three-level inverter has been reduced by using a modern SFO-PWM topology. In addition, the system is equipped with a PI controller to control the speed and torque of BLDC motor. Also, there is a high-quality control upon the speed and torque of the motor due to the use of PI controller, which resulted in constant torque with low ripple and constant speed as a load of the motor changed, with a high increasing in the stability and reliability of the system.
Design and Implement Regulated DC-DC Interleaved Flyback Converter by Using Intelligent Controller in Airborne Application
Authors: Yas Khalid Badr , Rashid Ahmed 
Published: March 2020

Abstract
This paper is designed, simulated and implemented DC-DC interleaved Flyback converter controlled by Arduino Uno which converts input voltage from battery 12 V to 180 V DC at 20 kHz for 120 W. Digital control design is done with the use of Arduino Uno microcontroller. Simulation carried out using MATLAB/Simulation. The objective of this paper is to design a DC converter that operates at low cost with high efficiency via improving Flyback converter topology. This occurs using interleaved Flyback converter. To obtain a regulated output voltage of the interleaved Flyback converter, closed-loop feedback with PI controller is employed (Proportional – Integral). The duty cycle is varied to control the output voltage and produced constant voltage under variation input voltage and load disturbance. The designed technique uses voltage mode control (VMC) to obtain a constant voltage under continuous conduction mode (CCM). To implement the interleaved Flyback converter with the PI controller, the microcontroller Arduino Uno is used. The Simulation and the practical results give a little output ripple voltage, current, and high efficiency 6% compared with conventional Flyback converter.
Design and Simulation of a Grid Tied Single Phase SPWM Inverter Using Matlab
Authors: Abedali Rawan. A. , Yasin Naseer. M. , Alshamaa Nabil. K 
Published: March 2020

Abstract
The work objective is to design and simulate grid tie photovoltaic module with Simulink software, to investigate the characteristics of photovoltaic module as well describe the maximum. power point tracking using the single diode equivalent circuit. As well as developing single phase H bridge inverter a control circuit which generates output of a pure sine wave and voltage of alike frequency and magnitude such as the voltage of the grid. Sinusoidal pulse width modulation signal (SPWM) a common PWM method to achieve perturb and monitor (P&O), the maximum power point tracking (MPPT) method.
The Balancing of Secondary Distribution Feeders by Two Techniques GWO and PSO Applied in Baghdad, Comparative Study
Authors: Al-Kharsan Ibrahim H , Marhoon Ali F , Mahmood Jawad R 
Published: March 2020

AbstractThe distribution network considered the more complex portion of the electrical power system as there is much machinery, and many loads are fed. The load diversity and variety that connected to the distribution networks caused severe problems like load unbalancing, sag, and voltage swell that can violate the system stability. The load balancing in the secondary low voltage distribution networks was regarded as one of the ongoing and stubborn issues studied in this article. In this article, a GWO meta-heuristic algorithm, which used for the first time to solve the imbalance on the secondary transformers, and the outcomes of the GWO compared to the PSO algorithm. The results proved it could resolve the balancing problem based on real data collected from the smart meters installed in two regions in Baghdad. Load balancing accomplished when the same current flows through the three-phase conductors that supplied a particular region in the distribution network. Current equality has a strong effect on the distribution network, ranging from reducing the losses to transformer safety. The phase swapping appeared as a direct and straightforward way of achieving load balance. The results showed that in obtaining balance with a lower number of swaps, the GWO algorithm was better. If solar renewable energy sources penetrated the distribution network, the algorithms could achieve an accepted balancing without requiring any swaps in the home phases.
A Hybrid Control Strategy for PMSG-based Standalone Wind Turbines with BESS
Authors: Khazaal Hasan Fahad , Hburi Ismail Sharhan , Farhan Mansour Sukar , Dininawi Mohammed 
Published: March 2020

Abstract
Energy conversion efficiency and power quality are both two key objectives of control schemes in wind energy conversation systems (WECS). These two tasks are hard to trade off and contradictory since improving the conversion-efficiency may boost fluctuation of output power as well. This paper suggests a hybrid control strategy for variable speed PMGS with Battery energy storage system to provide consistent power and meet variable load demands. In the suggested scheme, Fuzzy logic is combined with model predictive control (MPC) to capture the merits of these two different methods. The proposed controller (F_MPC) could improve wind turbine performance and provide power reliability. Simulation results prove that, in comparison with traditional PI model, the proposed topology can achieve benefits in terms of step response (overshoot), frequency deviation, and total harmonic distortion (THD) of almost 1.2%, 4.2%, and 1.24% respectively.
Performance Analysis of 132 KV Karbala Transmission Network
Authors: Jawad Haider H , Raheem Mohammed S A 
Published: March 2020

Abstract
Performance analysis of the load flow study is an important part and a necessary step to form a clear view of the abnormal sections of the network. This paper deals with the study and analysis of the 132kv Karbala transmission network using Newton-Raphson analysis by using Matlab mathematical solution technique. The result gives all values (V, δ, P, Q) for all the buses also lines flow and overall losses have been presented. Moreover, it gives an indication about the weak point of the system. This is to form a reliable database necessary to develop and improve the operation of the network under study.
Navigation of Mini Unmanned Aerial Vehicle in Unknown Environment
Authors: Samed Baqir N Abdul , Aldair Ammar A. 
Published: March 2020

Abstract
In this paper, two algorithms are proposed to navigate the mini unmanned aerial vehicle (MUAV) in unknown environment. The first algorithm is path planning algorithm, it proposed to force the MUAV to track a specific trajectory. The second algorithm is obstacle avoidance algorithm, it proposed to avoid the collision between the MUAV and borrower when the MUAV is maneuvering in unknown environment. The pure pursuit algorithm (PPA) is used to force the MUAV to follow the desired trajectory depends on the given waypoints. While the vector field histogram algorithm (VFHA) is used to avoid collision of the MUAV with obstacles block in the desired path. To keep the flight of MUAV without collision, the 3D laser sensors are used to collect the information from the surrounding environment. The GPS sensor is used to keep the MUAV on the specific path. The collected information from the two sensors are analysed by the controller of the MUAV to improve its performance. The Matlab program is used to implement the proposed algorithms and plot the trajectories of MUAV in the unknown algorithm. The Matlab program is connected with the gazebo program via robotic operating system (ROS) to simulate the visual movement of the MUAV in any unknown environment. The obtained results show the effectiveness of the proposed algorithm to flight the MUAV in different environments.
Control of Eight-Leg Walking Robot Using Fuzzy Technique Based on SimScape Multibody Toolbox
Authors: Aldair Ammar A. , Al-Mayyahi Auday , Jasim Basil H. 
Published: March 2020

Abstract
In this article, a simulation platform is used to design and test the proposed controller and to study the performance of the eight legs walking robot based on SimScape Multibody toolbox. We show that, by using the SimScape Multibody toolbox, the intelligent controller can be designed without needing for the mathematical model of the legged robot. This toolbox is used to simulate and visualize the motion of the legged robot with the proposed controller. The fuzzy technique is used for designing a control system for the walking robot. The particle swarm optimization (PSO) algorithm is used to obtain the optimal parameters of output membership function of the proposed fuzzy controller. The effectiveness and robustness of the designed controller are studied by changing the carried load by the walking robot. The obtained results demonstrate efficiently the validity of the proposed controller for guiding the walking robot when the disturbance is applied.
Optimal Pitch Angle Control for Wind Turbine Using Intelligent Controller
Authors: Abdul-Ruhman Mustafa S , Hawas Majli N 
Published: March 2020

AbstractWind energy is the most plenty resource in the renewable energy purse. Increasing the wind pick out capability improves the economic viability of this technology, and makes it more rivalry with traditional fossil-fuel based supplies. Therefore, it is necessary to search control strategies that increase aerodynamic efficiency. Several controls are applied and compared during this research. The angle of blade pitch is employed to control the wind turbine (SCIG) operation during partial and full load operations, correspondingly. This work is achieved using Matlab/Simulink simulation. The effect of some compensation modules is studied such as unified power flow controllers (UPFC) and three types of smart technologies on the performance of the IEEE 9 bus. The traditional PI, is the first controller is utilized in this study that depends on trial and error technique. Second, the controller of Fuzzy logic control (FLC) based trial and error. Finally, the nonlinear auto regressive-moving average (NARMA-L2) based on PI controller. The results show that the controllers used had better improvement in active power and the response of turbine in terms of reduced error for a steady state and ripple reduction in the torque and speed responses. In addition, NARMA-L2 controller presents better results from other methods especially in power output and in terms of reducing the steady state errors of load changes and ripple minimization, making this controller more active to the load and speed variations.
Improvement Parameters for Design Brushless DC Motor by Moth Flame Optimization
Authors: Akkar Hanan A R , Salman Sameem Abbas 
Published: March 2020

Abstract
This contribution deals with an improved design of a brushless DC motor, using optimization algorithms, based on collective intelligence. For this purpose, the case study motor is perfectly explained and its significant specifications are obtained as functions of the motor geometric parameters. In fact, the geometric parameters of the motor are considered as optimization variables. Then, the objective function has been defined. This function consists of three terms; losses, construction cost and the volume of the motor which should be minimized simultaneously. The three algorithms are Moth Flame, Genetic and Particle Swarm have been studied in this paper. It is noteworthy that Moth flame optimization (MFO) algorithm has been used for the first time for brushless DC motor design optimization. A comparative study between the mentioned optimization approaches shows that moth flame optimization algorithm has been converged to optimal response in less than 250 iterations and its standard deviation is ± 0.03, while the convergence rate of the genetic and particle swarm algorithms are about 400 and 450 iterations with standard deviations of ± 0.07 and ± 0.06, respectively for the case study motor. The obtained results show the best performance for the Moth Flame Optimization algorithm among all mentioned algorithms in brushless DC motor design optimization.
Sinusoidal inverter using pulse width amplitude modulation
Authors: Mohsin M H , Alshamaa N K , Hammood Dalal A , Hussein Sabah A 
Published: March 2020

Abstract
In this paper, a technique of single-phase inverter pulse width-amplitude modulation is introduced. This technique is based on tap changer transformer that controls the amplitude of the output voltage. The DC voltage is applied on the primary side of the tap changer transformer with the help of a microcontroller through several semiconductor switches in sequential modality. The tap changer inverter has been analyzed, designed and simulated for four tap inverter using Proteus software. The LCL (low pass filter) is connected on the primary side of the transformer to generate sinusoidal output voltage. In hardware a tap changer inverter has been designed and implemented for four taps inverter. The microcontroller used is minipro, which produces command signal to the switches. The introduced topology has produced large number of levels with decreased total harmonics distortion (THD) in addition to a low cost with isolated multilevel inverter.