Menoufia Journal of Electronic Engineering Research最新文献

Classification of Brain Neuroimaging for Alzheimer's Disease Employing Principal Component Analysis 利用主成分分析对阿尔茨海默病的脑神经影像进行分类

Menoufia Journal of Electronic Engineering Research Pub Date : 2024-01-01 DOI: 10.21608/mjeer.2023.232914.1079

Fatma elzahraa shehata, Mostafa Makkey, Shimaa A. Abdelrahman

{"title":"Classification of Brain Neuroimaging for Alzheimer's Disease Employing Principal Component Analysis","authors":"Fatma elzahraa shehata, Mostafa Makkey, Shimaa A. Abdelrahman","doi":"10.21608/mjeer.2023.232914.1079","DOIUrl":"https://doi.org/10.21608/mjeer.2023.232914.1079","url":null,"abstract":"— Alzheimer's disease (AD) is one illness that significantly impacts people’s lives. As AD worsens over time, it causes the death of brain cells. To assist a neurologist, a proposed classification method for AD progression is introduced in this paper. Pre-processing is applied to clean up artifacts from brain images. As biomarkers for AD diagnosis, three specific areas of the brain are utilized. Multiplicative intrinsic component optimization with an exemplar pyramid is employed for the three main biomarkers segmentation at a multi-scale. For feature extraction, the gray-level co-occurrence matrix is utilized. Finally, principal component analysis is incorporated for feature reduction, and based on the Euclidean distance the decision of the binary classifier is performed. The Alzheimer's Disease Neuroimaging Initiative baseline dataset is used with 311 subjects, 262 for training and 49 for testing. The proposed method achieved an accuracy of 96.296% for the classification between late mild cognitive impairment (LMCI) and cognitive normal (CN), 85.71% between early mild cognitive impairment (EMCI) and CN, 92% between AD and CN, 95.833% between EMCI and LMCI, 91.3% between AD and EMCI, and 84.21% between AD and LMCI. Evaluation results show that the proposed method enhanced the existing method's accuracy with less feature dimensionality.","PeriodicalId":218019,"journal":{"name":"Menoufia Journal of Electronic Engineering Research","volume":"7 17","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139631143","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

DICOM Medical Image Security with DNA- Non-Uniform Cellular Automata and JSMP Map Based Encryption Technique 基于 DNA- 非统一细胞自动机和 JSMP 地图的 DICOM 医学影像安全加密技术

Menoufia Journal of Electronic Engineering Research Pub Date : 2024-01-01 DOI: 10.21608/mjeer.2023.246301.1085

Ahmed Mohamed, Walid El-Shafa, Mona Shokair

{"title":"DICOM Medical Image Security with DNA- Non-Uniform Cellular Automata and JSMP Map Based Encryption Technique","authors":"Ahmed Mohamed, Walid El-Shafa, Mona Shokair","doi":"10.21608/mjeer.2023.246301.1085","DOIUrl":"https://doi.org/10.21608/mjeer.2023.246301.1085","url":null,"abstract":": With the global proliferation of the Internet and digitalization transforming how information is shared, there has been exponential growth in the transmission of multimedia content fueled by advancing communication technologies. In recent times, Digital Imaging and Communications in Medicine (DICOM) medical imaging has become critical for disease diagnosis. Given that these images are often transmitted across networks, ensuring their robust protection has become imperative. Unauthorized access or misuse of the data within these images could potentially result in serious consequences. Various approaches exist for safeguarding such images, with encryption emerging as a highly effective method. Encryption algorithms typically involve two key phases: confusion and diffusion. This paper suggested proposed encryption technique designed specifically for encrypting both gray-scale and color DICOM medical images. Several assessment criteria, including the Number of Changing Pixel Rate (NPCR), Unified Averaged Changed Intensity (UACI), average entropy, correlation coefficients, Structural Similarity (SSIM), Feature Similarity (FSIM), and Peak Signal-to-Noise Ratio (PSNR), are employed to evaluate the suggested cryptosystem. These evaluations vividly underscore the robust security performance exhibited by the proposed approach.","PeriodicalId":218019,"journal":{"name":"Menoufia Journal of Electronic Engineering Research","volume":"21 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139635571","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Photonic Crystal Fiber Sensors, Literature Review, Challenges, and Some Novel Trends 光子晶体光纤传感器，文献回顾，挑战和一些新趋势

Menoufia Journal of Electronic Engineering Research Pub Date : 2023-07-01 DOI: 10.21608/mjeer.2023.203343.1076

naira salah, El-Sayed M. El-Rabie, Ashraf Khalaf

{"title":"Photonic Crystal Fiber Sensors, Literature Review, Challenges, and Some Novel Trends","authors":"naira salah, El-Sayed M. El-Rabie, Ashraf Khalaf","doi":"10.21608/mjeer.2023.203343.1076","DOIUrl":"https://doi.org/10.21608/mjeer.2023.203343.1076","url":null,"abstract":"— This paper introduces an introduction to photonic crystals (PCs) and photonic crystal fiber (PCF) sensors along with their different applications. A comparative study of different types of PCF sensors including chemical, biomedical, and liquid sensors is presented. Many distinct factors, including the device structure, background material, operating wavelength, PCF's guiding mechanisms and the sample refractive indices to be detected, affect how PCF sensors behave. Different topologies such as hexagonal, hollow rectangle, decagonal, rectangular porous core, and mono rectangular are discussed. Sensing properties, and measurement methodologies for each of these sensors are discussed. Based on this comparative study, PCF sensors are categorized according to their properties, topologies, measurement techniques, and applications. The appropriate topology for the required application can be selected based on the required properties. The same PCF topology can be used for different sensing purposes. A comparative study of different types of PCF sensors in a form of table is presented followed by the challenges and some novel trends on Photonic Crystal Fiber. _______________________________________________________","PeriodicalId":218019,"journal":{"name":"Menoufia Journal of Electronic Engineering Research","volume":"217 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128171536","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Vibration Control of Horizontally Supported Jeffcott-Rotor System Utilizing PIRC-controller 基于pirc控制器的水平支承jeffcott -转子系统振动控制

Menoufia Journal of Electronic Engineering Research Pub Date : 2023-05-25 DOI: 10.21608/mjeer.2023.201037.1075

N. Saeed, O. Omara, M. Abd Elkader

引用次数: 1

Cascading ensemble machine learning algorithms for maize yield level prediction 玉米产量水平预测的级联集成机器学习算法

Menoufia Journal of Electronic Engineering Research Pub Date : 2023-05-25 DOI: 10.21608/mjeer.2023.159995.1066

Hayam R. Seireg, Yasser M. K. Omar, F. El-Sayed, A. El-Fishawy, A. Elmahalawy

引用次数: 0

Efficient Utilization of Image Fusion and Interpolation for Medical Image Diagnosis applications 图像融合与插值在医学图像诊断中的高效应用

Menoufia Journal of Electronic Engineering Research Pub Date : 2023-01-01 DOI: 10.21608/mjeer.2023.283902

Randa Ali, Taha E. Taha, Noha A. El-Hag, Moawad I.Dessoky, Walid El- Shafai, Fathi E. Abd El- samie

{"title":"Efficient Utilization of Image Fusion and Interpolation for Medical Image Diagnosis applications","authors":"Randa Ali, Taha E. Taha, Noha A. El-Hag, Moawad I.Dessoky, Walid El- Shafai, Fathi E. Abd El- samie","doi":"10.21608/mjeer.2023.283902","DOIUrl":"https://doi.org/10.21608/mjeer.2023.283902","url":null,"abstract":"— This paper presents a framework for medical image diagnosis of brain tumors. This framework comprises image fusion, image interpolation and image segmentation. The objective of the fusion process is to integerate information from MR and CT images in a single image for better representation of tumors. The fusion is implemented with one of the Dual tree complex wavelet transform (DT-CWT), Discrete wavelet transform (DWT) and principal component analysis (PCA) algorithms to investigate the best one for the application of interest. Interpolation is implemented with one of both polynomial and inverse interpolation techniques. Inverse techniques including linear minimum mean square error (LMMSE) and regularized interpolation are preferred to polynomial technique. After that, threshold segmentation is implemented to isolate the tumor region. Different evolution metrics are used such as accuracy, sensitivity , precision , specifity ,…….. are used to assess the proposed framework. Simulation results prove that the frameworking depending on DWT fusion gives the best results over the existing published techniques","PeriodicalId":218019,"journal":{"name":"Menoufia Journal of Electronic Engineering Research","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121584055","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Multi Compartmental model for Targeted Drug Delivery Based on Internet of Biological NanoThings 基于生物纳米物联网的靶向给药多室模型

Menoufia Journal of Electronic Engineering Research Pub Date : 2023-01-01 DOI: 10.21608/mjeer.2023.283913

Islam R.Kamal, Saied M. Abd El-atty, S. F. El-Zoghdy, Randa F. Soliman

引用次数: 0

Effects of Solar Irradiance and Temperature on Photovoltaic Module Characteristics using a capacitive load method 太阳辐照度和温度对电容负载法光伏组件特性的影响

Menoufia Journal of Electronic Engineering Research Pub Date : 2023-01-01 DOI: 10.21608/mjeer.2023.283915

Eman sayed ward, Nasr Gad, M. Lotfy Rabeh, A. Yahia

{"title":"Effects of Solar Irradiance and Temperature on Photovoltaic Module Characteristics using a capacitive load method","authors":"Eman sayed ward, Nasr Gad, M. Lotfy Rabeh, A. Yahia","doi":"10.21608/mjeer.2023.283915","DOIUrl":"https://doi.org/10.21608/mjeer.2023.283915","url":null,"abstract":"— The electrical performance of photovoltaic (PV) cells or arrays is greatly influenced by the ambient temperature and the solar radiation intensity (irradiation) as well. The effect of temperature and solar irradiance on the main characteristics of solar panels and photovoltaic modules is investigated in this paper. The primary parameters are identified and extracted using the capacitive load approach. These parameters are Short Circuit Current (I sc ), Maximum Power Point Current (I mpp ), Open Circuit Voltage (V oc ), Maximum Power Point Voltage (V mpp ), Maximum Power Point (P max ), Fill factor (FF) and Efficiency (η). The PV cell used in this study is poly-crystal silicon. Its commercial name is Kyocera solar KC130GT. MATLAB Simulink is used to assess the capacitive load method in the investigation of I-V and P-V curves. These two curves are derived based on the effects of varying temperatures (30, 35, 40, and 45 o C) at a constant irradiance (1000 W/m 2 ) on the PV cell performance and the effect of varying irradiance (250, 500, 750, and 1000 W/m 2 ) at constant temperature (25 o C) as well. It is concluded that by increasing the irradiance at constant temperature, I sc and V oc are increasing. As a result, η increases from 13.9% at 250 W/m 2 to reach 14.7% at 1000 W/m 2 . In the case of increasing temperature at constant irradiance, η decreases from 13.5% at 30 o C to reach 12.8% at 45 o C. This is due to the large drop in V oc compared to the small increment in I sc .","PeriodicalId":218019,"journal":{"name":"Menoufia Journal of Electronic Engineering Research","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129116864","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Terahertz Reflectarray Antenna with a Square Patch Surrounded by Two Concentric Square Rings as a Unit Cell 由两个同心圆环包围的正方形贴片作为单元单元的太赫兹反射天线

Menoufia Journal of Electronic Engineering Research Pub Date : 2023-01-01 DOI: 10.21608/mjeer.2023.283911

Ahmed A. Hassan, El-Sayed M. El-Rabie, R. Elsharkawy, Demyana A. Saleeb, Ahmed S. Elkorany

引用次数: 0

Classification of Users' Opinions and Posts on Facebook Using Machine Learning Approaches 使用机器学习方法对Facebook上的用户意见和帖子进行分类

Menoufia Journal of Electronic Engineering Research Pub Date : 2022-07-05 DOI: 10.21608/mjeer.2022.79630.1037

Ibrahim sayed, M. Nour, Mohammed Badawy, E. Abed

{"title":"Classification of Users' Opinions and Posts on Facebook Using Machine Learning Approaches","authors":"Ibrahim sayed, M. Nour, Mohammed Badawy, E. Abed","doi":"10.21608/mjeer.2022.79630.1037","DOIUrl":"https://doi.org/10.21608/mjeer.2022.79630.1037","url":null,"abstract":"— In this research work, four classifiers are adopted, analyzed, and discussed. The classifiers are Naïve Bayes (NB), Support Vector Machine (SVM), Stochastic Gradient Descent (SGD), and Logistic Regression (LR). The classifiers are operated on a dataset with more than eight-thousands of instances. The dataset contains the users' reviews and their opinions about the quality of service of restaurants. The reviews are collected from the Arabic Facebook posts. Several experiments are done to evaluate the performance of the adopted classifiers. Moreover, some features selection methods are also applied to improve the classification process. The feature selected methods are based on term-weights with N-grams, correlation, chi-square, and mutual information. Some criteria are considered to evaluate the performance of the classification process mainly: precision, recall, F-measure, and learning time. From the experimental results, the SVM classifier outperforms the other adopted ones. Also, the feature selection method based on the correlation between the individual features and the target class outperforms the other chosen methods. The same concluding remarks are expected to take place for other datasets containing comments or reviews from social media.","PeriodicalId":218019,"journal":{"name":"Menoufia Journal of Electronic Engineering Research","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127162884","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0