A hybrid multi-objective optimization algorithm for software requirement problem

Research Abstract

Abstract

The process of selecting software requirements aims to identify the optimal set of requirements that enhances the value of a software release while keeping costs within the budget. It is referred to as the next release problem (NRP) and is classified as a non-deterministic polynomial (NP) hard problem. Additionally, the addressed requirements are complicated by interconnections and other constraints. In the current paper, the NRP is defined as a multi-objective optimization problem with two conflicting objectives, the satisfaction of customers and cost of development, and three constraints to address two real-world instances of the NRP. A hybrid algorithm combining the multi-objective artificial bee colony and differential evolution named (HABC-DE) is proposed in this work. The proposed approach involves management from the original artificial bee colony (ABC) with operators of the differential evolution (DE) algorithm to balance the optimization process's exploitation and exploration stages. The results demonstrated that the suggested algorithm was capable of efficiently generating high-quality non-dominated solutions with 163.48 ± 4.9295 for mean and standard deviation values which can help decision-makers choose the right set of requirements for a new software release production.

Research Authors
M.H. Marghny a, Elnomery A. Zanaty b, Wathiq H. Dukhan c d, Omar Reyad c
Research Date
Research Department
Computer Science Department
Research Journal
Elsevier
Research Member
Marghany Hassan Mohamed Mohamed

Generating Nature-Resembling Tertiary Protein Structures with Advanced Generative Adversarial Networks (GANs)

Research Abstract

—In the field of molecular chemistry, the functions, interactions, and bonds between proteins depend on their tertiary structures. Proteins naturally exhibit dynamism under different physiological conditions, as they alter their tertiary structures to accommodate interactions with other molecular partners. Significant advancements in Generative Adversarial Networks (GANs) have been leveraged to generate tertiary structures closely mimicking the natural features of real proteins, including the backbone and local and distal characteristics. Our research has led to the development of stable model RODWGAN, which is capable of generating tertiary structures that closely resemble those found in nature. Four key contributions have been made to achieve this goal: (1) Utilizing Ratio Of Distribution (ROD) as a penalty function in the Wasserstein Generative Adversarial Networks (WGAN), (2) Developing a GAN network architecture that fertilizes the residual block in generator, (3) Increasing the length of the generated protein structures to 256 amino acids, and (4) Revealing consistent correlations through Structural Similarity Index Measure (SSIM) in protein structures with varying lengths. These model represent a significant step towards robust deep-generation models that can explore the highly diverse set of protein molecule structures that support various cellular activities. Moreover, they provide a valuable source of data augmentation for critical applications such as molecular structure prediction, inpainting, dynamics, and drug design. Data, code, and trained models are available at https://github.com/mena01/Generating-Tertiary-ProteinStructures-Resembling-Nature-using-Advanced-WGAN.

Research Authors
Mena Nagy A. Khalaf1 , Taysir Hassan A Soliman2 , Sara Salah Mohamed
Research Date
Research Department
Information Systems Department
Research Journal
(IJACSA) International Journal of Advanced Computer Science and Applications,
Research Member
Mena Nagy Adly Khalaf
Taiseer Hassan Abdel-Hamid Sulaiman
Research Publisher
Science and Information (SAI) Organization Limited
Research Vol
14
Research Year
2023

A Deep Learning Technique to Detect Distributed Denial of Service Attacks in Software-Defined Networks

Research Abstract

Software-Defined Network (SDN) is an established networking paradigm that separates the control plane from the data plane. It has central network control, and programmability facilities, therefore SDN can improve network flexibility, management, performance, and scalability. The programmability and centralization of control planes in SDN have improved network functions but also exposed it to security challenges such as Distributed Denial of Service (DDoS) attacks that target both control and data planes. This paper proposes an effective detection technique against DDoS attack in SDN data plane and control plane. For the control plane, the technique detects DDoS attacks through a Deep Learning (DL) model using new features extracted from traffic statistics. A DL method (AE-BGRU) for DDoS detection uses Autoencoder (AE) with Bidirectional Gated Recurrent Unit (BGRU). The proposed features for the …

Research Authors
Waheed G Gadallah, Hosny M Ibrahim, Nagwa M Omar
Research Date
Research Department
Information Technology Department
Research Journal
Computers & Security
Research Member
Nagwa Mohamed Omar
Hosni Mohammed Ibrahim Hussein
Waheed Gameel Gadallah
Research Pages
103588
Research Publisher
Elsevier Advanced Technology
Research Year
2023

Activities of the President of the Republic’s initiative (100 days of health) at the college

098

In addition to the initiative of the President of the Republic (100 health days)

Under the patronage of Mrs. Professor Dr. Tayseer Hassan Abdel Hamid

Dean of the College of Computers and Information

Hallway (2) has been prepared at the college to receive the college’s employees in cooperation with the Ministry of Health and the College of Computers and Information

To add to the initiative of the President of the Republic, 100 days of health

The college employees’ blood pressure and sugar were measured and they received a follow-up card to diagnose and treat chronic diseases and early detection of diseases

The college was honored by the presence of:

Muhammad Saleh Salem, health education

Ahmed Mustafa Thabet, health education

Ghada Badr Ramadan Nursing

Mustafa Ahmed Bahgat, writer

An educational seminar on family planning

An educational seminar on family planning

In addition to the initiative of the President of the Republic (100 health days)

Under the patronage of Mrs. Professor Dr. Tayseer Hassan Abdel Hamid

Dean of the College of Computers and Information

An educational symposium on family planning for women was held by the Ministry of Health and Population in cooperation with the College of Computers and Information on Monday, 9/18/2023.

We were honored by the presence of:

Dr. Asmaa Ibrahim, media officer of the Western Department of Family Planning

Noura Abdel-Aleem, Health Education Center, West Administration

Suhair Saad Aziz, Health Education, West Administration

Heba Hassan Muhammad, Health Education, Western Administration

Opening the door to applying for grants to the Fund for Nurturing Innovators and Geniuses

Under the patronage of Professor Dr. Ahmed El-Minshawy, President of Assiut University

The University announces the opening of applications for grants to the Fund for the Care of Innovators and Brilliant Persons, headed by His Excellency Professor Dr. Mohamed Ayman Ashour, Minister of Higher Education and Scientific Research and Chairman of the Board of Directors of the Fund, in light of the importance of achieving the objectives of the Fund and its competencies stipulated in Law No. (1) of 2019 to establish the Fund for the Care of Innovators. And the geniuses.

The scholarship provides (5) full scholarships to outstanding Egyptian students who have a high school diploma and STEM students in the academic year 2023/2024 AD. The scholarship is for a period of four or five years (depending on specialization) to obtain a bachelor’s degree in one of the following fields:

⦁ Software Engineering 2- Artificial Intelligence

⦁ Mechatronics and Robotics 4- Materials Science

Selection will be based on the highest grades in high school or STEM in mathematics, science, and English. These scholarship programs aim to support innovative and talented students by providing distinguished university education based on the foundations of knowledge, innovation, and scientific research, designed to promote excellence and good preparation for the labor market and entrepreneurship:

Criteria for admission to scholarships at Assiut University:

⦁ The student must be of Egyptian nationality.

⦁ The student must be enrolled in an Egyptian government school or a STEM school throughout the years of secondary school.

⦁ The scholarship is not accepted for homeschool students (those who have completed high school - home)

⦁ Obtaining a high school completion certificate in the academic year 2022-2023 with a total of no less than the minimum for admission from the faculties of science, engineering, computers and information, each in their specialization. The final result will be announced after passing the exams.

⦁ The student must be a graduate of a scientific department of science or mathematics only, except for mechatronics and robotics, which must be mathematics science only.

⦁ Students with disabilities are accepted.

⦁ Active participation in activities that serve the community.

⦁ The student must mention the technological skills he needs to acquire.

⦁ Having a personality with leadership qualities.

⦁ Submitting a medical report issued and stamped by a government hospital for people of determination.

Advantages of scholarships provided by the Fund for Nurturing Innovators and Geniuses:

⦁ Full payment of tuition fees for the period of study (for a period of four or five years according to the study specialization).

⦁ Continuation of the grant based on the announced conditions.

⦁ Attending training courses related to the labor market.

⦁ Providing a number of opportunities to work on developing creative ideas and projects.

Admission exams will be held on September 5, 2023, in the laboratories of the Faculty of Computers and Information, Assiut University, at twelve noon.

Link to register for the scholarship:

 

https://docs.google.com/forms/d/e/1FAIpQLSeFzDvmfsmyrjqL7FgpfgaF6OYXCTQOaS-t4aDdK97_EtBuuA/viewform?usp=sf_link

 

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