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Use the Power of a Genetic Algorithm to Maximize and Minimize Cases to Solve Capacity Supplying Optimization and Travelling Salesman in Nested Problems

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Journal of Computer and Communications 2023年第3期11卷 24-31页

作者： ali abdulhafidh ibrahim Hajar Araz Qader Nour Ai-Huda Akram Latif Al-Nahrain University Baghdad Iraq

Using Genetic Algorithms (GAs) is a powerful tool to get solution to large scale design optimization problems. This paper used GA to solve complicated design optimization problems in two different applications. The aims are to implement the genetic algorithm to solve these two different (nested) problems, and to get the best or optimization solutions.

关键词： Genetic Algorithm Capacity Supplying Optimization Traveling Salesman Problem Nested Problems

Using Neural Networks to Predict Secondary Structure for Protein Folding

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Journal of Computer and Communications 2017年第1期5卷 1-8页

作者： ali abdulhafidh ibrahim ibrahim Sabah Yasseen College of Science Al-Nahrain University Baghdad Iraq College of Information Engineering Al-Nahrain University Baghdad Iraq

Protein Secondary Structure Prediction (PSSP) is considered as one of the major challenging tasks in bioinformatics, so many solutions have been proposed to solve that problem via trying to achieve more accurate prediction results. The goal of this paper is to develop and implement an intelligent based system to predict secondary structure of a protein from its primary amino acid sequence by using five models of Neural Network (NN). These models are Feed Forward Neural Network (FNN), Learning Vector Quantization (LVQ), Probabilistic Neural Network (PNN), Convolutional Neural Network (CNN), and CNN Fine Tuning for PSSP. To evaluate our approaches two datasets have been used. The first one contains 114 protein samples, and the second one contains 1845 protein samples.

关键词： Protein Secondary Structure Prediction (PSSP) Neural Network (NN) α-Helix (H) β-Sheet (E) Coil (C) Feed Forward Neural Network (FNN) Learning Vector Quantization (LVQ) Probabilistic Neural Network (PNN) Convolutional Neural Network (CNN)

Design and Implementation of Fingerprint Identification System Based on KNN Neural Network

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Journal of Computer and Communications 2018年第3期6卷 1-18页

作者： Israa Ghazi Dakhil ali abdulhafidh ibrahim College of Information and Communication Engineering Al-Nahrain University Baghdad Iraq Al-Nahrain University Baghdad Iraq

Fingerprint identification and recognition are considered popular technique in many security and law enforcement applications. The aim of this paper is to present a proposed authentication system based on fingerprint as biometric type, which is capable of recognizing persons with high level of confidence and minimum error rate. The designed system is implemented using Matlab 2015b and tested on a set of fingerprint images gathered from 90 different persons with 8 samples for each using Futronic’s FS80 USB2.0 Fingerprint Scanner and the *** program. An efficient image enhancement algorithm is used to improve the clarity (contrast) of the ridge structures in a fingerprint. After that core point and candidate core points are extracted for each Fingerprint image and feature vector have been extracted for each point using filterbank_based algorithm. Also, for the matching the KNN neural network was used. In addition, the matching results were calculated and compared to other papers using some performance evaluation factors. A threshold has been proposed and used to provide the rejection for the fingerprint images that does not belong to the database and the experimental results show that the KNN technique have a recognition rate equal to 93.9683% in a threshold equal to 70%.

关键词： Fingerprint Core Point and Candidate Core Points Filterbank_Based Algorithm Weightless Neural Network KNN

Design and Implementation of Iris Pattern Recognition Using Wireless Network System

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Journal of Computer and Communications 2016年第7期4卷 15-21页

作者： ali abdulhafidh ibrahim Thura ali Khalaf Bashar Mudhafar Ahmed College of Science Al-Nahrain University Baghdad Iraq College of Information Engineering Al-Nahrain University Baghdad Iraq College of Engineering Al-Nahrain University Baghdad Iraq

The goal of this paper is to propose a fast and accurate iris pattern recognition system by using wireless network system. This paper consists of three parts: the first part includes two methods of the iris pattern recognition system: Libor Masek and genetic algorithms, the second part includes the compression-decompression process of iris image using Principal Component Analysis (PCA) as a data reduction method, in order to reduce image size, and the third part talks about wireless network. In this work, an iris image is transferred across wireless network which contains two independent-parallel lines connected to the central Personal Computer (PC) in order to be recognized at the end of each line, then the results of recognition are sent back to the central PC. The proposed genetic algorithm, which is used in this paper is more accurate than Masek algorithm and has low computational time and complexity, which makes this method better than Masek method in recognizing iris patterns.

关键词： Iris Recognition Genetic Algorithm Principal Components Analysis Wireless Network

Design &Implementation of an Optimization Loading System in Electric by Using Genetic Algorithm

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Journal of Computer and Communications 2019年第7期7卷 135-146页

作者： ali abdulhafidh ibrahim Anmar L. Dawood College of Business Economics Al-Nahrain University Baghdad Iraq

The purpose of this paper is to propose a new system for the distribution of electric power by using the concept of Active Demand procedures to obtain a low cost and ensure the continuity of energy. This paper consists of two parts: the first includes the method of optimal distribution of electricity in the presence of Active Demand based on the price of energy for the specific time in the system;this feature will help the consumer to determine the process of consumption through the advertised price;all this will appear through the energy box. The second part involves the introduction of the genetic algorithm to obtain the best solutions for costs and also the best choice for the distribution of electrical power, which makes this method optimize by introducing the genetic algorithm with electrical energy. The main drivers of this work are to provide continuous electrical energy at the lowest cost and also to simulate active demand, in addition to the rapid processing of energy failures by the aggregator and raising awareness of the process of energy conservation for the consumer.

关键词： Power Distribution System Genetic Algorithm Active Demand

Stock Market Prediction Using Generative Adversarial Networks(GANs):Hybrid Intelligent Model

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Computer Systems Science & Engineering 2023年第10期47卷 19-35页

作者： Fares abdulhafidh Dael Omer CagrıYavuz Ugur Yavuz Department of Management Information Systems Ataturk UniversityErzurum25030Turkey Department of Management Information Systems Karadeniz Technical UniversityTrabzon61080Turkey

The key indication of a nation’s economic development and strength is the stock *** and economic expansion affect the volatility of the stock *** the multitude of factors,predicting stock prices is intrinsically *** the movement of stock price indexes is a difficult component of predicting financial time *** predicting the price movement of stocks can result in financial advantages for *** to the complexity of stock market data,it is extremely challenging to create accurate forecasting *** machine learning and other algorithms to anticipate stock prices is an interesting *** purpose of this article is to forecast stock market values to assist investors to make better informed and precise investing ***,Machine Learning(ML),Natural language processing(NLP),and sentiment analysis will be used to accomplish the study’s *** both qualitative and quantitative information,the study developed a hybrid *** hybrid model has been handled with *** on the model’s predictions,a buy-or-sell trading strategy is *** conclusions of this study will assist investors in selecting the ideal choice while selling,holding,or buying shares.

关键词： Stock markets statistics machine learning sentiment analysis investment decisions