Mofeed Rashid

University of Basrah, Electrical Engineering, Assist. Prof.

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Papers by Mofeed Rashid

Deep-Q-Network Based Energy Management of Multi Resources in Limited Power Micro-grid

International Journal of Powertrains

Incremental Adaptive Gesture Classifier for Upper Limb Prostheses

Adaptive myoelectric pattern recognition for controlling upper limb prosthesis. HD-sEMG signals a... more

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Design and Implementation of Smart Electrical Power Meter System

In recent years, increased importance of Smart Grid, which includes monitoring and control the co... more In recent years, increased importance of Smart Grid, which includes monitoring and control the consumption of customers of electric power. In this paper, Wireless Smart Electrical Power Meter has been designed and implemented which ZigBee wireless sensor network (WSN) will be used for wireless electrical power meter communication supported by PIC microcontroller which used for power unit measurements. PIC microcontroller will be used for evaluating all electric power parameters at costumer side like V rms , I rms , KWh, and PF, and then all these parameters will be send to base station through wireless network in order to be calibrated and monitored.

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Design PI Controller for Tank Level in Industrial Process

Iraqi Journal for Electrical and Electronic Engineering, 2022

In today’s chemical, refinery, and petrochemical sectors, separation tanks are one of the most si... more In today’s chemical, refinery, and petrochemical sectors, separation tanks are one of the most significant separating processes. One or more separation tanks must operate consistently and reliably for multiple facilities’ safe and efficient operation. Therefore, in this paper, a PI controller unit has been designed to improve the performance of the tank level controller of the industrial process in Basrah Refinery Station. The overall system mathematical model has been derived and simulated by MATLAB to evaluate the performance. Further, to improve the performance of the tank level controller, optimal PI parameters should be calculated, which Closed-Loop PID Autotuner has been used for this task. Several experiments have been conducted to evaluate the performance of the proposed system. The results indicated that the PI controller based on the Autotuner Method is superior to the conventional PI controller in terms of ease to implement and configuration also less time to get optimal ...

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Modeling Of Self-Organization Fish School System By Neural Network System

In this paper, a Neural Network (NN) model system for self-organization fish school system is ide... more In this paper, a Neural Network (NN) model system for self-organization fish school system is identified. Monitoring and data extraction from fish school video has been achieved by using image processing technique in order to generate the data suitable for parameter identification of NN model system. Data obtained have been used to identify the parameters of a model based on a black-box represented by nonlinear autoregressive exogenous model (NARX). The obtained results show that this system can be used for multi robot formation system.

Leader-Neighbor Algorithm For Polygon Static Formation Control

2020 International Conference on Electrical, Communication, and Computer Engineering (ICECCE), 2020

This paper presents the designing of a powerful formation control for multi-robot called leader n... more This paper presents the designing of a powerful formation control for multi-robot called leader neighbor algorithm in an unknown environment. The principal task for the robots group is to form a static geometric polygon shape formation using RP Lidar sensors equipped on each robot. Two stages are implemented to investigate the polygon shape formation: The leader alignment stage and the neighbor alignment stage. In the first stage, the information collected by the leader RP lidar sensor is used to localize and to compute the orientation of each neighbor robot. The neighbor RP lidar sensors are used to alignment the neighbor robots to the leader one by moving these neighbor robots toward the leader. The implementation of this stage makes the neighbor robots have equal distance from the leader one. In the second stage, the information collected by the neighbor RP lidar sensors are used to rearrange the distances to be equal among these robots. This process is achieved by moving the nei...

Simulation of Autonomous Navigation Mobile Robot System

The goal of real-time mobile robots is to travel in the shortest path between two points in a nav... more The goal of real-time mobile robots is to travel in the shortest path between two points in a navigation environment. Autonomous navigation allows robots to planning this path without the need for human intervention. In this paper, Autonomous navigation mobile robot system has been simulated by MATLAB which a camera is used to snapshotting robot environment represented by maze while image processing techniques are used for extracting maze parameters. These parameters are used to planning the shortest path between start point and target based on Depth-first Search (DFS) and Breadth-first Search (BFS) searching algorithms.

Multi-Node Localization and Identity Estimation Based Multi-Beacon Searching Algorithm

Inf. Technol. Control., 2020

The accuracy of multi-nodes localization and identity estimation algorithms directly affected the... more The accuracy of multi-nodes localization and identity estimation algorithms directly affected the performance of multi-agent systems like WSN, multi-robot, cellular phone and so on. In this paper, a novel algorithm is introduced in order to achieve high accuracy for multi-nodes localization and identity estimation, this algorithm is named multi-beacon searching algorithm. In this algorithm, the concept of the grid is employed for estimating the location and identity of nodes, in which the environment represented by a grid of reference beacons, for each beacon, light-emitting diode (LED) is used. Whereas, each node in the environment is equipped with four LDR sensors which are used to sense the lighting of LEDs according to a proposed searching algorithm. The localization process achieved based on three proposed algorithms: Firstly, a modified binary search algorithm is utilized to estimate the approximate location of the node by a group of neighbor LEDs. Secondly, the accurate local...

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Iraqi Commission for Computers & Informatics ( ICCI ) Iraqi Journal for Computers and Informatics ( IJCI ) Vol ( 1 ) Issue ( 1 ) , 2014 66 RSA Cryptographic Key Generation Using Fingerprint Minutiae

Human users find difficult to remember long cryptographic keys. Therefore, researchers, for a lon... more Human users find difficult to remember long cryptographic keys. Therefore, researchers, for a long time period, have been investigating ways to use biometric features of the user rather than memorable password or passphrase, in an attempt to produce tough and unrepeatable cryptographic keys and to construct the key unpredictable to a hacker who is deficient of important knowledge about the user's biometrics. In this paper, generating the strong bio-crypt key based on fingerprint minutiae is presented. At first, the minutiae points are extracted from the fingerprint image based on image processing algorithms. Then, the extracted fingerprint minutiae are used for generating a 1024 bit prime numbers that used in RSA cypher algorithm to generate 2048 cryptographic key.

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Design and Implementation of Hybrid-Climbing Legged Robot

Iraqi Journal for Electrical and Electronic Engineering, Jun 1, 2019

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Design and Experimental Validation of Dynamic Model of Multi Robot System

2020 International Conference on Electrical, Communication, and Computer Engineering (ICECCE), 2020

In a multi-robot system, following the leader is a challenge since the robot must detect the lead... more In a multi-robot system, following the leader is a challenge since the robot must detect the leader first and then responding accordingly. So, in this paper, the motion control of a group of robots is achieved based on the dynamic model of the collective motion behavior of the aggregation of Artemia, a creature that follows a spotlight. Modeling the collective behavior of Artemia that follows the spotlight will be inspiring for modeling a collective of robots that achieves the same tasks. The model is based on the newton equation and its parameters will be calculated directly from the features of the multi-robot system. Several experiments will be implemented to check the behavior of the proposed system, which is divided into four experiments according to four trajectories, the straight line, circle, zigzag and complex path pattern. The V-rep software is used to derive and simulate the proposed design, also test its performance.

Elicitation hybrid spatial features from HD-sEMG signals for robust classification of gestures in real-time

Australian Journal of Electrical and Electronics Engineering

Multi Robot System Dynamics and Path Tracking

Iraqi Journal for Electrical and Electronic Engineering

The Leader detecting and following are one of the main challenges in designing a leader-follower ... more The Leader detecting and following are one of the main challenges in designing a leader-follower multi-robot system, in addition to the challenge of achieving the formation between the robots, while tracking the leader. The biological system is one of the main sources of inspiration for understanding and designing such multi-robot systems, especially, the aggregations that follow an external stimulus such as light. In this paper, a multi-robot system in which the robots are following a spotlight is designed based on the behavior of the Artemia aggregations. Three models are designed: kinematic and two dynamic models. The kinematic model reveals the light attraction behavior of the Artemia aggregations. The dynamic model will be derived based on the newton equation of forces and its parameters are evaluated by two methods: first, a direct method based on the physical structure of the robot and, second, the Least Square Parameter Estimation method. Several experiments are implemented ...

Labriform Swimming Robot with Steering and Diving Capabilities

Journal of Intelligent & Robotic Systems

Autonomous Micro-Robot Like Sperm based on Piezoelectric Actuator

2020 International Conference on Electrical, Communication, and Computer Engineering (ICECCE)

Online myoelectric pattern recognition based on hybrid spatial features

Biomedical Signal Processing and Control

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Robust hand gesture identification using envelope of HD-sEMG signal

Proceedings of the International Conference on Information and Communication Technology - ICICT '19

Scheduling of Diesel Generators Operation with Restricted PCC in Microgrid

Iraqi Journal for Electrical and Electronic Engineering

Smart Microgrid (MG) effectively contributes to supporting the electrical power systems as a whol... more Smart Microgrid (MG) effectively contributes to supporting the electrical power systems as a whole and reducing the burden on the utility grid by the use of unconventional energy generation resources, in addition to backup Diesel Generators (DGs) for reliability increasing. In this paper, potential had been done on day-ahead scheduling of diesel generators and reducing the energy cost reached to the consumers side to side with renewable energy resources, where economical energy and cost-effective MG has been used based on optimization agent called Energy Management System (EMS). Improved Particle Swarm Optimization (IPSO) technique has been used as an optimization method to reduce fuel consumption and obtain the lowest energy cost as well as achieving the best performance to the energy system. Three scenarios are adopted to prove the efficiency of the proposed method. The first scenario uses a 24 hour time horizon to investigate the performance of the model, the second scenario uses...