Alaa Hamdy - Academia.edu (original) (raw)

Papers by Alaa Hamdy

Research paper thumbnail of Cataract Surgery Techniques and Effects in Mature Senile Cataract: Review Article

The Egyptian Journal of Hospital Medicine, 2021

Background: One of our most cherished belongings is our ability to see well. The ability to see c... more Background: One of our most cherished belongings is our ability to see well. The ability to see clearly is a fundamental human right. People fear losing their sight the most according to surveys. As we age, we are more likely to suffer from vision issues. The typical age of cataract onset in the West is around 60 years old, however in poorer countries it is more common around the age of 45 or even earlier. Since cataracts are responsible for 47.8 percent of the world's total blindness, they are a major cause of concern and a significant public health issue in developing countries. Objective: This study aimed to study the corneal endothelial changes in both procedures for extraction of mature senile cataract. Conclusion: Corneal endothelial cells are sensitive to trauma, which affects cell density and cell morphology. Endothelial cell loss during surgery affects the ability of the cornea to preserve transparency with subsequent visual affection.

Research paper thumbnail of Optimum segment length for embedding in the LSB of JPEG images with Minimum MSE

ijsce.org

Abstract—Steganography is the science of hiding communication in an innocuous cover medium such a... more Abstract—Steganography is the science of hiding communication in an innocuous cover medium such as image, audio and video. In this paper, a new steganographic algorithm with optimum segment length and minimum MSE is presented, an algorithm that utilizes the ...

Research paper thumbnail of Physical Rehabilitation Exercises Classification Using Deep Learning Models

Research paper thumbnail of Automatic Classification of Preliminary Diabetic Retinopathy Stages using CNN

International Journal of Advanced Computer Science and Applications

Research paper thumbnail of Design and Implementation of Visually Impaired Assistant system

2021 International Mobile, Intelligent, and Ubiquitous Computing Conference (MIUCC)

The need for independent living is recognised in the case of visually impaired people who face a ... more The need for independent living is recognised in the case of visually impaired people who face a variety of issues, including social isolation.They are forced to live in strange environments with no means of assistance. Today’s tech world should supply them with this assistance for easier socialization. Our aim is to facilitate the life of visually impaired people who could lack the technology to help them in their lives. This project is proposed to focus on the development of a mobile application that uses voice commands and text to voice technology to enable users to interact with the mobile application. The user captures the item they want to identify using the smartphone’s camera and pick the image they want to upload for processing. The image chosen then will undergo through pre-processing techniques depending on the feature the user chose, the features include Money recognition CNN MobileNet architecture was used to analyze the Egyptian banknotes and Color and patterns recognition CNN resnet50 architecture was used to analyze the color and pattern of the clothing. As well, the application allows the user to register or login using facial recognition to further facilitate the experience for users. The application is designed to be effective and can be easily navigated by visually impaired users. ResNet50 architecture produce the highest accuracy in patterns and colors cloth recognition, Mobilenet architecture produce the highest accuracy in currency recognition.

Research paper thumbnail of Efficient Wireless Sensor Networks in Centrifugal Compressors

2019 5th International Conference on Advanced Computing & Communication Systems (ICACCS), 2019

Internet-of-Thing (IOT) has been identified as one of the newest generation technologies from dif... more Internet-of-Thing (IOT) has been identified as one of the newest generation technologies from different fields. Among different technologies of IOT, Wireless sensor network (WSN) is one of the main technologies to be enhanced. Nowadays, Wireless Sensor Networks (WSN) has played vital role in the field of integrated Control and Safety system (ICSS) inside Oil and Gas plants including the centrifugal compressor system which is the main point of our paper.WSN is composed of a group of sensors and actuators which communicate through wireless channel in order to achieve required actions of sensing and performing tasks. ICSS is composed of both Safety instrumented control system (SIS) for emergency process conditions and Distributed control system (DCS) for normal process conditions. Hence, the main goal of this paper is to focus on processing of high priority SIS signals with respect to low priority DCS signals using Preemptive Earliest deadline first (EDF) scheduling algorithm to avoid any delay causing fire, gas leakage or explosion in plant also to ensure the processing of DCS signals as well.

Research paper thumbnail of Development of a New High Dynamic Range Technique for Solar Flux Analysis Using Double-CCD Optical Camera

International Journal of Renewable Energy Research, 2019

In solar central receiver (SCR) systems, camera-based tracking and control strategies have been w... more In solar central receiver (SCR) systems, camera-based tracking and control strategies have been widely developed and tested. The camera, usually with a single CCD, captures images of the sun reflected by thousands of heliostats on the central receiver. The captured images are then analysed to allow the evaluation of solar flux. For accurate analysis process, the camera must have a high dynamic range (HDR) to give real and accurate information about the captured scene. In the present article, a new methodology has been developed using a double-CCD optical camera for improvement of dynamic range of the captured solar flux image. An experimental calibration set-up is adopted for accurate estimation of the camera response function. The double-CCD camera is used for acquiring two images at the same instant with two different levels of exposure. The two captured images are then merged into a single HDR image using a new proposed weighting function. The enhanced optical performance of the proposed weighting function has been demonstrated by comparison with the previous HDR image generation weighting functions at different levels of illumination. Investigation of the capability of the proposed methodology for the analysis of beam accuracy and optical quality of SCR systems show that the present proposed method leads to more accurate solar flux analysis because of the improvement in the resolution of details of the final merged image.

Research paper thumbnail of Diagnosis and Detection of Liver Cirrhosis Based on Image Analysis

Digital Transformation Technology, 2021

Research paper thumbnail of Intelligent Virtual Tutor for Online Laboratory Experiments Based on Modelling the Student’s Mouse Interaction Behavior

2021 IEEE 12th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON), 2021

COVID-19 pandemic has led to a great interest in online learning systems. However, the lack of su... more COVID-19 pandemic has led to a great interest in online learning systems. However, the lack of suitable online laboratory learning systems has posed a particular challenge for sectors that need laboratory experimentation activities as in engineering and science domains. This paper presents a simple but efficient technique for providing intelligent virtual tutor that can assist students in online laboratory experimentation environment. The proposed technique is based on analyzing and modelling the student’s mouse interaction behavior for identifying the difficulties that the student faced during conducting the lab's experiment, and hence providing the suitable assistance. The different levels of difficulties will be detected using the trajectory of mouse movement activities. The obtained results verify accurate and very fast operation for identifying the student's difficulties.

Research paper thumbnail of C30. An Interpolation Based Technique for Sign Language Recognition

2013 30th National Radio Science Conference (NRSC), 2013

Research paper thumbnail of Automated Security Assessment for IDaaS Framework

Wireless Personal Communications, 2020

Research paper thumbnail of Cascaded Architecture for Classifying the Preliminary Stages of Diabetic Retinopathy

Proceedings of the 2020 9th International Conference on Software and Information Engineering (ICSIE), 2020

Diabetes Mellitus is one of the modern world's most dominant diseases. This condition leads t... more Diabetes Mellitus is one of the modern world's most dominant diseases. This condition leads to a dangerous eye disease called Diabetic Retinopathy (DR), which eventually causes total blindness. The purpose of this research is the early detection of this condition to prevent further complications in the future. Over the past few years, Convolutional Neural Networks (CNNs) became very popular in resolving image processing and object detection problems for huge datasets. A cascaded model was proposed to detect the presence of DR and classify it into 4 stages, taking into consideration using a large dataset. Furthermore, preprocessing techniques such as normalization are applied, and finally, the input images are fed into a multi-layer Convolutional Neural Network. This method was utilized on 61,248 retinal images, which are a portion of the (EyePACS) dataset. It achieved a specificity of 96.1% for detecting the presence of the disease and 63.1% for determining its stage.

Research paper thumbnail of Compound Image Segmentation

JES. Journal of Engineering Sciences, 2010

Research paper thumbnail of Focus Measures Assessment for Astronomical Images

2020 International Conference on Innovative Trends in Communication and Computer Engineering (ITCE), 2020

Precise focus is an essential step in astronomical research since an accurate measure of celestia... more Precise focus is an essential step in astronomical research since an accurate measure of celestial objects properties depends on it. This paper presents a performance comparison of different focus measure operators. The focus operators are applied to five sequences of star-clusters observations. These sequences are observed using the 74-inch telescope of Kottamia Astronomical Observatory (KAO). Each sequence contains in-focus and out-of-focus frames. The experimental results show that the Normalized Variance has the least distance between the best overall score and least standard error.

Research paper thumbnail of Automatic Classification Algorithm for Diffused Liver Diseases Based on Ultrasound Images

Research paper thumbnail of Application of fuzzy logic on astronomical images' focus measures

TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES, 2019

Research paper thumbnail of Design of a Prediction System for Hydrate Formation in Gas Pipelines using Wireless Sensor Network

International Journal of Advanced Computer Science and Applications, 2016

Research paper thumbnail of Efficient Enhancement for Spatial Scalable Video Coding Transmission

Mathematical Problems in Engineering, 2017

Scalable Video Coding (SVC) is an international standard technique for video compression. It is a... more Scalable Video Coding (SVC) is an international standard technique for video compression. It is an extension of H.264 Advanced Video Coding (AVC). In the encoding of video streams by SVC, it is suitable to employ the macroblock (MB) mode because it affords superior coding efficiency. However, the exhaustive mode decision technique that is usually used for SVC increases the computational complexity, resulting in a longer encoding time (ET). Many other algorithms were proposed to solve this problem with imperfection of increasing transmission time (TT) across the network. To minimize the ET and TT, this paper introduces four efficient algorithms based on spatial scalability. The algorithms utilize the mode-distribution correlation between the base layer (BL) and enhancement layers (ELs) and interpolation between the EL frames. The proposed algorithms are of two categories. Those of the first category are based on interlayer residual SVC spatial scalability. They employ two methods, na...

Research paper thumbnail of EMCC: Enhancement of Motion Chain Code for Arabic Sign Language Recognition

International Journal of Advanced Computer Science and Applications, 2015

Research paper thumbnail of Efficient Object Segmentation Techniques for Tracking Mobile Objects Over a Sequence of Noisy Images

Research paper thumbnail of Cataract Surgery Techniques and Effects in Mature Senile Cataract: Review Article

The Egyptian Journal of Hospital Medicine, 2021

Background: One of our most cherished belongings is our ability to see well. The ability to see c... more Background: One of our most cherished belongings is our ability to see well. The ability to see clearly is a fundamental human right. People fear losing their sight the most according to surveys. As we age, we are more likely to suffer from vision issues. The typical age of cataract onset in the West is around 60 years old, however in poorer countries it is more common around the age of 45 or even earlier. Since cataracts are responsible for 47.8 percent of the world's total blindness, they are a major cause of concern and a significant public health issue in developing countries. Objective: This study aimed to study the corneal endothelial changes in both procedures for extraction of mature senile cataract. Conclusion: Corneal endothelial cells are sensitive to trauma, which affects cell density and cell morphology. Endothelial cell loss during surgery affects the ability of the cornea to preserve transparency with subsequent visual affection.

Research paper thumbnail of Optimum segment length for embedding in the LSB of JPEG images with Minimum MSE

ijsce.org

Abstract—Steganography is the science of hiding communication in an innocuous cover medium such a... more Abstract—Steganography is the science of hiding communication in an innocuous cover medium such as image, audio and video. In this paper, a new steganographic algorithm with optimum segment length and minimum MSE is presented, an algorithm that utilizes the ...

Research paper thumbnail of Physical Rehabilitation Exercises Classification Using Deep Learning Models

Research paper thumbnail of Automatic Classification of Preliminary Diabetic Retinopathy Stages using CNN

International Journal of Advanced Computer Science and Applications

Research paper thumbnail of Design and Implementation of Visually Impaired Assistant system

2021 International Mobile, Intelligent, and Ubiquitous Computing Conference (MIUCC)

The need for independent living is recognised in the case of visually impaired people who face a ... more The need for independent living is recognised in the case of visually impaired people who face a variety of issues, including social isolation.They are forced to live in strange environments with no means of assistance. Today’s tech world should supply them with this assistance for easier socialization. Our aim is to facilitate the life of visually impaired people who could lack the technology to help them in their lives. This project is proposed to focus on the development of a mobile application that uses voice commands and text to voice technology to enable users to interact with the mobile application. The user captures the item they want to identify using the smartphone’s camera and pick the image they want to upload for processing. The image chosen then will undergo through pre-processing techniques depending on the feature the user chose, the features include Money recognition CNN MobileNet architecture was used to analyze the Egyptian banknotes and Color and patterns recognition CNN resnet50 architecture was used to analyze the color and pattern of the clothing. As well, the application allows the user to register or login using facial recognition to further facilitate the experience for users. The application is designed to be effective and can be easily navigated by visually impaired users. ResNet50 architecture produce the highest accuracy in patterns and colors cloth recognition, Mobilenet architecture produce the highest accuracy in currency recognition.

Research paper thumbnail of Efficient Wireless Sensor Networks in Centrifugal Compressors

2019 5th International Conference on Advanced Computing & Communication Systems (ICACCS), 2019

Internet-of-Thing (IOT) has been identified as one of the newest generation technologies from dif... more Internet-of-Thing (IOT) has been identified as one of the newest generation technologies from different fields. Among different technologies of IOT, Wireless sensor network (WSN) is one of the main technologies to be enhanced. Nowadays, Wireless Sensor Networks (WSN) has played vital role in the field of integrated Control and Safety system (ICSS) inside Oil and Gas plants including the centrifugal compressor system which is the main point of our paper.WSN is composed of a group of sensors and actuators which communicate through wireless channel in order to achieve required actions of sensing and performing tasks. ICSS is composed of both Safety instrumented control system (SIS) for emergency process conditions and Distributed control system (DCS) for normal process conditions. Hence, the main goal of this paper is to focus on processing of high priority SIS signals with respect to low priority DCS signals using Preemptive Earliest deadline first (EDF) scheduling algorithm to avoid any delay causing fire, gas leakage or explosion in plant also to ensure the processing of DCS signals as well.

Research paper thumbnail of Development of a New High Dynamic Range Technique for Solar Flux Analysis Using Double-CCD Optical Camera

International Journal of Renewable Energy Research, 2019

In solar central receiver (SCR) systems, camera-based tracking and control strategies have been w... more In solar central receiver (SCR) systems, camera-based tracking and control strategies have been widely developed and tested. The camera, usually with a single CCD, captures images of the sun reflected by thousands of heliostats on the central receiver. The captured images are then analysed to allow the evaluation of solar flux. For accurate analysis process, the camera must have a high dynamic range (HDR) to give real and accurate information about the captured scene. In the present article, a new methodology has been developed using a double-CCD optical camera for improvement of dynamic range of the captured solar flux image. An experimental calibration set-up is adopted for accurate estimation of the camera response function. The double-CCD camera is used for acquiring two images at the same instant with two different levels of exposure. The two captured images are then merged into a single HDR image using a new proposed weighting function. The enhanced optical performance of the proposed weighting function has been demonstrated by comparison with the previous HDR image generation weighting functions at different levels of illumination. Investigation of the capability of the proposed methodology for the analysis of beam accuracy and optical quality of SCR systems show that the present proposed method leads to more accurate solar flux analysis because of the improvement in the resolution of details of the final merged image.

Research paper thumbnail of Diagnosis and Detection of Liver Cirrhosis Based on Image Analysis

Digital Transformation Technology, 2021

Research paper thumbnail of Intelligent Virtual Tutor for Online Laboratory Experiments Based on Modelling the Student’s Mouse Interaction Behavior

2021 IEEE 12th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON), 2021

COVID-19 pandemic has led to a great interest in online learning systems. However, the lack of su... more COVID-19 pandemic has led to a great interest in online learning systems. However, the lack of suitable online laboratory learning systems has posed a particular challenge for sectors that need laboratory experimentation activities as in engineering and science domains. This paper presents a simple but efficient technique for providing intelligent virtual tutor that can assist students in online laboratory experimentation environment. The proposed technique is based on analyzing and modelling the student’s mouse interaction behavior for identifying the difficulties that the student faced during conducting the lab's experiment, and hence providing the suitable assistance. The different levels of difficulties will be detected using the trajectory of mouse movement activities. The obtained results verify accurate and very fast operation for identifying the student's difficulties.

Research paper thumbnail of C30. An Interpolation Based Technique for Sign Language Recognition

2013 30th National Radio Science Conference (NRSC), 2013

Research paper thumbnail of Automated Security Assessment for IDaaS Framework

Wireless Personal Communications, 2020

Research paper thumbnail of Cascaded Architecture for Classifying the Preliminary Stages of Diabetic Retinopathy

Proceedings of the 2020 9th International Conference on Software and Information Engineering (ICSIE), 2020

Diabetes Mellitus is one of the modern world's most dominant diseases. This condition leads t... more Diabetes Mellitus is one of the modern world's most dominant diseases. This condition leads to a dangerous eye disease called Diabetic Retinopathy (DR), which eventually causes total blindness. The purpose of this research is the early detection of this condition to prevent further complications in the future. Over the past few years, Convolutional Neural Networks (CNNs) became very popular in resolving image processing and object detection problems for huge datasets. A cascaded model was proposed to detect the presence of DR and classify it into 4 stages, taking into consideration using a large dataset. Furthermore, preprocessing techniques such as normalization are applied, and finally, the input images are fed into a multi-layer Convolutional Neural Network. This method was utilized on 61,248 retinal images, which are a portion of the (EyePACS) dataset. It achieved a specificity of 96.1% for detecting the presence of the disease and 63.1% for determining its stage.

Research paper thumbnail of Compound Image Segmentation

JES. Journal of Engineering Sciences, 2010

Research paper thumbnail of Focus Measures Assessment for Astronomical Images

2020 International Conference on Innovative Trends in Communication and Computer Engineering (ITCE), 2020

Precise focus is an essential step in astronomical research since an accurate measure of celestia... more Precise focus is an essential step in astronomical research since an accurate measure of celestial objects properties depends on it. This paper presents a performance comparison of different focus measure operators. The focus operators are applied to five sequences of star-clusters observations. These sequences are observed using the 74-inch telescope of Kottamia Astronomical Observatory (KAO). Each sequence contains in-focus and out-of-focus frames. The experimental results show that the Normalized Variance has the least distance between the best overall score and least standard error.

Research paper thumbnail of Automatic Classification Algorithm for Diffused Liver Diseases Based on Ultrasound Images

Research paper thumbnail of Application of fuzzy logic on astronomical images' focus measures

TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES, 2019

Research paper thumbnail of Design of a Prediction System for Hydrate Formation in Gas Pipelines using Wireless Sensor Network

International Journal of Advanced Computer Science and Applications, 2016

Research paper thumbnail of Efficient Enhancement for Spatial Scalable Video Coding Transmission

Mathematical Problems in Engineering, 2017

Scalable Video Coding (SVC) is an international standard technique for video compression. It is a... more Scalable Video Coding (SVC) is an international standard technique for video compression. It is an extension of H.264 Advanced Video Coding (AVC). In the encoding of video streams by SVC, it is suitable to employ the macroblock (MB) mode because it affords superior coding efficiency. However, the exhaustive mode decision technique that is usually used for SVC increases the computational complexity, resulting in a longer encoding time (ET). Many other algorithms were proposed to solve this problem with imperfection of increasing transmission time (TT) across the network. To minimize the ET and TT, this paper introduces four efficient algorithms based on spatial scalability. The algorithms utilize the mode-distribution correlation between the base layer (BL) and enhancement layers (ELs) and interpolation between the EL frames. The proposed algorithms are of two categories. Those of the first category are based on interlayer residual SVC spatial scalability. They employ two methods, na...

Research paper thumbnail of EMCC: Enhancement of Motion Chain Code for Arabic Sign Language Recognition

International Journal of Advanced Computer Science and Applications, 2015

Research paper thumbnail of Efficient Object Segmentation Techniques for Tracking Mobile Objects Over a Sequence of Noisy Images