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Open Journal of Obstetrics and Gynecology 2020年第11期10卷 1616-1630页

作者： Ahmed Shrief Abd Elhamid Ahmed Hamdi El-Sefi tarek aly raafat Department of Obstetrics and Gynecology Faculty of Medicine Ain Shams University Cairo Egypt

Background: Preterm prelabor rupture of membranes (PPROM) is a major cause of Pretem Birth (PTB), Pretem Birth (PTB) is the most significant cause of perinatal morbidity and mortality worldwide. Cervical length (CL), posterior uterocervical angle (PUCA) and anterior uterocervical angle (AUCA) have been postulated in several studies to have an important role in prediction of PTB. Up to our knowledge, this is the first study that combines the three cervical parameters in prediction of latency period in women with PPROM. Aim of the Work: To assess the accuracy of cervical length, posterior uterocervical angle and anterior uterocervical angle in prediction of latency period in women with Preterm prelabor rupture of membranes. Subjects and Methods: A Prospective cohort study on

Enable Excel-Based Basic Cybersecurity Features for End Users by Using Python-Excel Integration

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Journal of Software Engineering and Applications 2024年第6期17卷 522-529页

作者： Mohamed Breik Osama Magdy Essam Amin tarek aly Mervat Gheith Software Engineering Department Faculty of Graduate Studies for Statistical Research Cairo University Cairo Egypt

In the digital age, the global character of the Internet has significantly improved our daily lives by providing access to large amounts of knowledge and allowing for seamless connections. However, this enormously interconnected world is not without its risks. Malicious URLs are a powerful menace, masquerading as legitimate links while holding the intent to hack computer systems or steal sensitive personal information. As the sophistication and frequency of cyberattacks increase, identifying bad URLs has emerged as a critical aspect of cybersecurity. This study presents a new approach that enables the average end-user to check URL safety using Microsoft Excel. Using the powerful VirusTotal API for URL inspections, this study creates an Excel add-in that integrates Python and Excel to deliver a seamless, user-friendly interface. Furthermore, the study improves Excel’s capabilities by allowing users to encrypt and decrypt text communications directly in the spreadsheet. Users may easily encrypt their conversations by simply typing a key and the required text into predefined cells, enhancing their personal cybersecurity with a layer of cryptographic secrecy. This strategy democratizes access to advanced cybersecurity solutions, making attentive digital integrity a feature rather than a daunting burden.

关键词： Python End-User Approach Excel Excel Add-In Cybersecurity URL Check API Virustotal API Encryption Decryption Vigenère Cipher Python-Excel Integration

Accuracy of Transvaginal Ultrasound in Prediction of Latency Period in Women with Preterm Premature Rupture of Membranes

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Advancing Crowd Object Detection: A Review of YOLO, CNN and ViTs Hybrid Approach*

Open Journal of Obstetrics and Gynecology（妇产科期刊） 2020年第11期

作者： Ahmed Shrief Abd Elhamid Ahmed Hamdi El-Sefi tarek aly raafat

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Journal of Intelligent Learning Systems and Applications 2024年第3期16卷 175-221页

作者： Mahmoud Atta Mohammed Ali tarek aly Atef Tayh Raslan Mervat Gheith Essam A. Amin Faculty of Graduate Studies for Statistical Research Software Engineering Department Cairo University Giza Egypt

One of the most basic and difficult areas of computer vision and image understanding applications is still object detection. Deep neural network models and enhanced object representation have led to significant progress in object detection. This research investigates in greater detail how object detection has changed in the recent years in the deep learning age. We provide an overview of the literature on a range of cutting-edge object identification algorithms and the theoretical underpinnings of these techniques. Deep learning technologies are contributing to substantial innovations in the field of object detection. While Convolutional Neural Networks (CNN) have laid a solid foundation, new models such as You Only Look Once (YOLO) and Vision Transformers (ViTs) have expanded the possibilities even further by providing high accuracy and fast detection in a variety of settings. Even with these developments, integrating CNN, YOLO and ViTs, into a coherent framework still poses challenges with juggling computing demand, speed, and accuracy especially in dynamic contexts. Real-time processing in applications like surveillance and autonomous driving necessitates improvements that take use of each model type’s advantages. The goal of this work is to provide an object detection system that maximizes detection speed and accuracy while decreasing processing requirements by integrating YOLO, CNN, and ViTs. Improving real-time detection performance in changing weather and light exposure circumstances, as well as detecting small or partially obscured objects in crowded cities, are among the goals. We provide a hybrid architecture which leverages CNN for robust feature extraction, YOLO for rapid detection, and ViTs for remarkable global context capture via self-attention techniques. Using an innovative training regimen that prioritizes flexible learning rates and data augmentation procedures, the model is trained on an extensive dataset of urban settings. Compared to solo YOLO,

关键词： Object Detection Deep Learning Computer Vision YOLO Convolutional Neural Networks (CNN) Vision Transformers Neural Networks Transfer Learning Autonomous Driving Self-Drive Vehicles

Enhancing Data Analysis and Automation: Integrating Python with Microsoft Excel for Non-Programmers

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Journal of Software Engineering and Applications 2024年第6期17卷 530-540页

作者： Osama Magdy Ali Mohamed Breik tarek aly Atef Tayh Nour El-Din Raslan Mervat Gheith Software Engineering Department Faculty of Graduate Studies for Statistical Research Cairo University Giza Egypt

Microsoft Excel is essential for the End-User Approach (EUA), offering versatility in data organization, analysis, and visualization, as well as widespread accessibility. It fosters collaboration and informed decision-making across diverse domains. Conversely, Python is indispensable for professional programming due to its versatility, readability, extensive libraries, and robust community support. It enables efficient development, advanced data analysis, data mining, and automation, catering to diverse industries and applications. However, one primary issue when using Microsoft Excel with Python libraries is compatibility and interoperability. While Excel is a widely used tool for data storage and analysis, it may not seamlessly integrate with Python libraries, leading to challenges in reading and writing data, especially in complex or large datasets. Additionally, manipulating Excel files with Python may not always preserve formatting or formulas accurately, potentially affecting data integrity. Moreover, dependency on Excel’s graphical user interface (GUI) for automation can limit scalability and reproducibility compared to Python’s scripting capabilities. This paper covers the integration solution of empowering non-programmers to leverage Python’s capabilities within the familiar Excel environment. This enables users to perform advanced data analysis and automation tasks without requiring extensive programming knowledge. Based on Soliciting feedback from non-programmers who have tested the integration solution, the case study shows how the solution evaluates the ease of implementation, performance, and compatibility of Python with Excel versions.

关键词： Python End-User Approach Microsoft Excel Data Analysis Integration Spreadsheet Programming Data Visualization

Enable Excel-Based Basic Cybersecurity Features for End Users by Using Python-Excel Integration

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Enhancing Data Analysis and Automation: Integrating Python with Microsoft Excel for Non-Programmers

Journal of Software Engineering and Applications（软件工程与应用） 2024年第6期 522页

作者： Mohamed Breik Osama Magdy Essam Amin tarek aly Mervat Gheith

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Effective and Extensive Virtual Private Network

Journal of Software Engineering and Applications（软件工程与应用） 2024年第6期 530页

作者： Osama Magdy Ali Mohamed Breik tarek aly Atef Tayh Nour El-Din Raslan Mervat Gheith

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Journal of Information Security 2011年第1期2卷 39-49页

作者： tarek S. Sobh Yasser aly 不详

A Virtual Private Network (VPN) allows the provisioning of private network services for an organization over a public network such as the Internet. In other words a VPN can transform the characteristics of a public which may be non-secure network into those of a private secure network through using encrypted tunnels. This work customized a standard VPN to a newly one called EEVPN (Effective Extensive VPN). It transmits a small data size in through a web based system in a reasonable time without affecting the security level. The proposed EEVPN is more effective where it takes small data transmission time with achieving high level of security. Also, the proposed EEVPN is more extensive because it is not built for a specific environment.

关键词： Virtual Private Network Network Security Secure Data Transmission

Hybrid Chiller Plant Optimization Strategies for Hotel Building on Nile River of Egypt

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Journal of Power and Energy Engineering 2021年第4期9卷 61-88页

作者： tarek A. Mouneer Mohamed H. aly Mechanical Engineering Department Benha Faculty of Engineering Benha University Benha Egypt Mechanical Power Engineering Department Faculty of Engineering Helwan University Cairo Egypt

Hybrid chiller plants (HCPs) using multiple chillers and different energy sources are highly recommended in several energy applications in non-residential buildings such as hospitals and hotels. Time of use and cooling load profiles are significant factors that should be carefully considered either in chiller plant design or in chiller sequencing operation. This article aims to present an operation planning of HCP which consists of both electric and non-electric chillers. Four operational strategies are proposed and solved to compare their coefficients of performance and economics of running costs. A typical hotel building located on the Nile river in Egypt is selected to perform the current thermal and economic case study. The total cooling load profile of this hotel building is 4000 refrigeration tonnage (TR), which is simulated to optimize chiller sequence of operation and to select optimal design conditions of both numbers for electric and non-electric chillers used in HCP. The results of this comparative study for running cost are defined using various design configurations with different several chiller sequences available for each configuration. Then, the results of C

关键词： Hybrid Chiller Plant Sustainability in Buildings Air-Conditioning Hotel Building Chiller Sequencing Building Cooling

Design and Comparison of Wastewater Treatment Plant Types (Activated Sludge and Membrane Bioreactor), Using GPS-X Simulation Program: Case Study of Tikrit WWTP (Middle Iraq)

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Journal of Environmental Protection 2018年第6期9卷 636-651页

作者： Alaa Uldeen Athil Arif Mohamed tarek Sorour Samia Ahmed aly Sanitary Engineering Department Faculty of Engineering Alexandria University Alexandria Egypt

Mathematical models and simulation are considered a powerful tool in engineering practice. Those tools are becoming increasingly used for the improvement of wastewater treatment plants design because the conceptual design is complex and ill-defined. In this paper, three alternatives: 1) complete mix activated sludge without nitrogen removal (CAS);2) complete mix activated sludge with nitrogen removal (CAS-N) and;3) membrane bioreactor (MBR) processes were designed into two steps: first concept design to calculate the size of process units, then second implement modeling and simulation to improve the accuracy of the conceptual design. In brief, the treatment process design has been verified by using the activated sludge model No. 1 (ASM1) in GPS-X (v.7) simulation software. This application helps not only in sizing the treatment units but also in understanding the plant’s capacity. In the same time, it can assist in studying the future expansion works required for increased hydraulic and organic loadings. For this purpose, Tikrit WWTP was selected as a case study. The used model was validated by comparing the designed values of the plant and the modeling data. The verification of the obtained results from both hand calculations and the results of the program showed a good agreement. A significant difference in the volume of secondary treatment was obtained from design calculations, where the CAS without denitrification system was 9244 m3 (aerobic and secondary tanks), CAS with denitrification system was 11,324 m3 (anoxic, aerobic and secondary tanks) and for MBR system was 7468 m3 (anoxic, aerobic and immersed membrane tanks). From the obtained results point of view, it can be concluded that mathematical models can be considered as worthy tools to complement the established wastewater treatment plant design procedures.

关键词： Activated Sludge Membrane Bioreactor Wastewater Treatment Wastewater treatment Plant Design Modeling and Simulation