Abbas Miry

Al-Mustansiriya University · Department of Electrical Engineering

The automatic modulation classification of signals is of great importance in modern communications, especially on cognitive radio. Several methods have been used in this field, the most important of which is the classification of modulation automatically using Deep Learning, where the methods depend on the convolution neural network, which is one o...

Fruits are considered a significant agricultural crop used in numerous fields. Freshness is a key fruit quality characteristic that has a direct impact on consumers' physical health and purchasing intentions. Additionally, it plays a vital role in determining market pricing. Therefore, rapid automatic classification was used to ensure the quality o...

span lang="EN-US">The automatic modulation classification (AMC) plays an important and necessary role in the truncated wireless signal, which is used in modern communications. The proposed convolution neural network (CNN) for AMC is based on a method of feature expansion by integrating I/Q (time form) with r/Ɵ (polar form) in order to take advantag...

The vehicle Black Box system records variations in vehicles in order to minimize and analyze accidents; or records traffic rules violations automatically and reports them to the traffic authority system. In many countries (like Iraq) traffic violation recording implemented manually causing false traffic fine recordings, even when the vehicle is not...

This paper proposes a new methodology for designing a controller for the tracking control problem in a 2 DoF helicopter system. The control problem is formulated as a nonlinear constraint optimization problem. Also, a sequential quadratic programming algorithm is applied to tune the PID gains according to the H infinity specifications. Tuning is do...

span>In this paper, a photovoltaic (PV) fuzzy maximum power point tracking (MPPT) method optimized by the chimp algorithm is presented. The fuzzy logic controller (FLC) of seven triangular membership functions (MFs) is used. The optimization fitness function is composed of transient and steady-state indices under different irradiation and temperatu...

تم تأليف هذا الكتاب بصورة مبسطة ومختصرة على اهم الايعازات التي يتعامل معها اغلب مهندسي السيطرة و الاتصالات و القدرة إبتداءاً بالاساسيات التي يحتاجها كل مهندس بصورة مبسطة ومعززة بالامثلة التوضيحية وبصورة تغني القارئ من البحث في مصادر اخرى

This paper presents an algorithm for load frequency control of multi-area power system. A more realistic models is used to represent the elements of power system. The frequency bias factor (B) is set optimally. The effect of generation rate constraints (GRC) and the dead band characteristics of the governor is taken into consideration. A simultaneo...

In this work, an IoT based on a vital health marker monitoring system is proposed and implemented using artificial intelligence by means of fuzzy logic, and the use of AT Mega and ESP32 microcontrollers to accomplish the proposed work and provide health monitoring. And the analysis to make a decision for the caregiver or the doctor by putting the r...

In recent years, driver drowsiness has been a major cause of road accidents, particularly when the driver has been driving on the highway for an extended period of time. Smart systems can now be used to prevent accidents, and a reliable driver detection system must be applied to alert the driver. In these systems, several external factors have been...

This paper proposes a robust control scheme for an underactuated crane system. The presented scheme contains two control strategies, feedback control term and corrective control term, based on Radial Basis Function (RBF) neural networks. A feedback control term is deigned based on the nominal dynamic model of the controlled system. RBF neural netwo...

Multiple atomic accidents urge for the development of radiation monitoring systems which has the capability to measure and display radiation level in the contaminated zones. This paper presents the design and implementation of such systems using Geiger Müller (GM) counter nuclear kit which can be used in any radiation contaminated area. GM counter...

This paper presents an automatic generation control algorithm applicable for a multi-area power system. A more practical models is used to represent the main components of the power system. The frequency bias factor (B) is set optimally by using an artificial intelligence technique. The generation rate constraints (GRC) are taken into consideration...

Air pollution has a wide and great influence on the concentration of constituents of the atmosphere, which leads to many effects such as acid rains and global warming. In order to avoid such unwanted adverse imbalances in the nature, designing an air pollution monitoring system (APMS) is very important. This paper discussed the development of an ef...

This paper presents a robust tracking controller for the automatic voltage regulator (AVR) system, where both system uncertainties and external disturbances are taken into account. The proposed control scheme combines optimal feedback control with robust control. The parameter gains of the proposed controller have been selected based on Lyapunov th...

The food security major threats are the diseases affected in plants such as citrus so that the identification in an earlier time is very important. Convenient malady recognition can assist the client with responding immediately and sketch for some guarded activities. This recognition can be completed without a human by utilizing plant leaf pictures...

In this paper, a novel algorithm based machine learning technique for control nonlinear coupled tanks system is presented. An intelligent controller using adaptive neuro-fuzzy inference system (ANFIS) based reinforcement learning is proposed (ANFIS-RL) by representing the nonlinear coupled tanks system as a Markov decision process. A model-free lea...

Artificial intelligence has been widely used in various applications such as health and safety, smart homes, greenhouses, and industrial application. It has been increasingly utilized in the industry owing to its benefits in terms of enhancing the overall performance of a given system. This study appeared from a real need in many local industries....

The vehicles headlight high beam plays a major role at night driving. While driving there may be annoying situations that forces the driver to be absent-minded, so a clear perception of the road and upcoming obstacles in it not possible, then drivers generally switch ON headlight high beam while driving at night times. However, if the driver forget...

With the increasing population in the world, especially the elderly, there is an urgent need to provide appropriate medical care for them. Therefore, a personal health monitoring system was proposed and implemented, and the results analyzed by artificial intelligence using fuzzy logic. Fuzzy logic has proven to be an effective tool for building sma...

Diseases associated with bad water have largely reported cases annually leading to deaths, therefore the water quality monitoring become necessary to provide safe water. Traditional monitoring includes manual gathering of samples from different points on the distributed site, and then testing in laboratory. This procedure has proven that it is inef...

This paper proposed a novel adaptive robust backstepping control scheme for DC-DC buck converter subjected to external disturbance and system uncertainty. Uncertainty in the load resistance and the input voltage represent the big challenge in buck converter control. In this work, an adaptive estimator for matched and mismatched uncertainties based...

In this work, a healthcare monitoring system-based Internet of Medical Things (IoMT) is proposed, implemented, analyze it by artificial intelligence using fuzzy logic. Atmega microcontroller was used to achieve the function of the proposed work and provide the area for monitoring and Analytic(decision) to the caretakers or doctors through putting t...

This paper presents a technique for discovering and classifying major citrus diseases of economic importance. Because of the slight difference in symptoms of various plant diseases , the diagnosis requires the expert opinion of the disease detection. An inappropriate diagnosis may result in huge economic losses for farmers in terms of inputs such a...

OPC Server MQTT PLC Kayenne. A B S T R A C T The Internet of Things (IoT) makes designing a smart management system is real and easy. The concept of smart management system guarantees a person to monitor, control and manage the system without any waste. Water is a key resource and its management is a major issue. The proposed method is IOT with the...

Simulink Model of Nonlinear model of Hydraulic turbine

Chapter 3 Network Layer: Logical Addressing

Chapter 5 Transmission Media

Chapter 8 Transport Layer: UDP and TCP

Computer Network Chapter 1 Introduction

Chapter 6 Connecting Device

Chapter 4 Data and Signals

Chapter 7 Network Layer: IP Address assignment & Routing

This presentation is a guide to using neural network based Matlab

This presentation is guide to learn the optimization problem using matlab it includes : 1- Unconstrained Minimization 2- Constrained Minimization 3- Genetic Algorithm

تم تأليف هذا الكتاب بصورة مبسطة ومختصرة، مقتصرةً على اهم الايعازات التي يتعامل معها اغلب المبرمجين عند استخدامهم للوحة الاردوينو، ليكون مفهوماً للمستخدمين المبتدئين وبدون تعقيد وحرصاً منا على تقديم الاردوينو إبتداءاً بالاساسيات التي يحتاجها كل من يتعامل مع هذا المتحكم وبصورة مبسطة ومعززة بالامثلة التوضيحية وبصورة تغني القارئ من البحث في مصادر اخرى

The photovoltaic system considers one of the important renewable sources of energy that using solar cell. Limitation and crisis of other energy resource make the photovoltaic system is growing. This motivated the researchers to improve and maximize renewable energy sources effectiveness. The optimal operating point is located in the PV voltage curv...

This paper presents an intelligent scheme to improve the performance of the H infinity controller by selecting a suitable weighting function that ensures a robust loop shaping control. In general, the weighting function is selected by trial and error. Recently the optimization algorithms had been developed and used widely to solve complex problems...

This paper presents an intelligent scheme to improve the performance of the H infinity controller by selecting a suitable weighting function that ensures a robust loop shaping control. In general, the weighting function is selected by trial and error. Recently the optimization algorithms had been developed and used widely to solve complex problems...

Network Lecture chapter 1 (Introduction)

This work presents the mathematical model for a torso compass gait biped robot with three degrees of freedom (DOF) which is comprised of two legs and torso. Euler Lagrange method's is used to drive the dynamic equation of robot with computed control is used as a controller. The relative angles are used to simplify the robot equation and get the sym...

This work presents the mathematical model for a torso compass gait biped robot with three degrees of freedom (DOF) which is comprised of two legs and torso. Euler Lagrange method's is used to drive the dynamic equation of robot with computed control is used as a controller. The relative angles are used to simplify the robot equation and get the sym...

Recently the access control problem hav drawn more attention in our livei. Biometric is one of these techniques specially face recognition, which is considered a better method. In this paper the real time face recognition system is implemented using hardware devices webcam as input device and arduino microcontroller as output device. While the Matl...

This paper presents a new general and fast scheme for solving the inverse kinematics problem (IKP) of the multilink robot arm. The proposed strategy is general as in it is independent of the geometry of the robot arm or its number of degrees of freedom (DOF) and only the forward kinematics is required. The proposed method is a closed-loop strategy...

Recognition of face is a good authentication and verification tool of people, has a great interest in our live. One of its important algorithms is eigenface which has been used widely; it has limitations such as poor discriminatory power, to solve this problem fisherface is used which attempt the distance between is maximum classes and the distance...

This paper presents the application of different Artificial intelligence techniques on the tuning of PID controller in a load frequency control system. The algorithms of PSO technique, Genetic algorithm technique, and Artificial Bee Colony technique has been applied on four area power system with six tie lines. The system dynamic model is formulate...

The goal of face detection is to locate all regions that contain a face. This paper has a simple face detection procedure, first to segment skin region from an image, and second, to decide these regions contain human face or not. Our procedure is based on hybrid skin color segmentation using three color spaces RGB, YC b C r and HIS and human face f...

Automatic lesion segmentation is an important part of computer-based image analysis of pigmented skin lesions. Currently, there is a great interest in the development of Computer-Aided Diagnosis (CAD) systems for dermoscopic images. The segmentation step is one of the most important ones, since its accuracy determines the eventual success or failur...

Face recognition is important in human identification. The biological recognition technique acts as a good method and has broad application in security areas. This work presents a method to improve the face recognition accuracy using a combination of Principal Component Analysis (PCA) and Wavelet Transform. Wavelet Transform is used to decompose th...

This work simulate an artificial human arm. It aims to allow this arm to implement the actual movement of the human arm in virtual reality by solving the inverse kinematic of human arm using a hybrid algorithm. Inverse kinematics problem is not linear; this means that the analytical solutions are available only in limited cases. This paper presents...

EMG signal has two main sources, one of them is measured real EMG and the other one is generated EMG by EMG Simulator. Every one of them has advantage and disadvantage with respect to accuracy and reliability. There are many problems in real measurement system as follows: The first stage is the sensor of EMG signal (electrodes), there are two probl...

Soft computing research is concerned with the integration of artificial intelligent tools in a complementary hybrid framework for solving real world problems. This paper tries to explore the potential of using soft computing methodologies in control of plant (human arm),utility and effectiveness of soft computing approaches for the control of seven...

This work presents a simulation methodology applied to a human arm. It is aimed to allow the human-assisting manipulators to perform complex movement based on electromyography (EMG) signal for patient person in Virtual Reality (VR). This work achieves better classification with multiple parameters based K-Nearest Neighbor for different movements of...

Kinematics for robotic systems with many degrees of freedom (DOF) and high redundancy are still an open issue. Namely, computation time in robotic applications is often too high to reach good solution, for parts of the kinematic chain; the problem of inverse kinematics is not linear, as rotations are involved. This means that analytical solutions a...

This work presents a novel simulation methodology applied to a human arm. It is aimed to allow the robotic system to perform complex movement operations of human arm. The human arm is represented by using virtual reality (VR). The work includes mathematical modeling of the direct kinematics ,inverse kinematic and the dynamics of the human arm .The...

Abstract—In a human–robot interface, the prediction of motion, which is based on context information of a task, has the potential to improve the robustness and reliability of motion classification to control human-assisting manipulators. The electromyography (EMG) signals can be used as a control source of artificial arm after it has been processed...

In a human–robot interface, the prediction of motion, which is based on context information of a task, has the potential to improve the robustness and reliability of motion classification to control human-assisting manipulators. The electromyography (EMG) signals can be used as a control source of artificial arm after it has been processed. The obj...

In a human-robot interface, the prediction of motion, which is based on context information of a task, has the potential to improve the robustness and reliability of motion classification to control human-assisting manipulators. The electromyography (EMG) signals can be used as a control source of artificial arm after it has been processed. The obj...