A5100712126- Antenna Design and Analysis
- Innovative concrete reinforcement materials
- Network Security and Intrusion Detection
- Structural Behavior of Reinforced Concrete
- Spacecraft Design and Technology
- Microwave Engineering and Waveguides
- Satellite Communication Systems
- Plasmonic and Surface Plasmon Research
- Cloud Computing and Resource Management
- Metamaterials and Metasurfaces Applications
- Advanced Antenna and Metasurface Technologies
- Advanced Malware Detection Techniques
- Gold and Silver Nanoparticles Synthesis and Applications
- Laser-Ablation Synthesis of Nanoparticles
- Sensor Technology and Measurement Systems
- Odor and Emission Control Technologies
- Innovations in Concrete and Construction Materials
- Non-Destructive Testing Techniques
- Energy Harvesting in Wireless Networks
- Metaheuristic Optimization Algorithms Research
- Industrial Vision Systems and Defect Detection
- Geotechnical Engineering and Soil Mechanics
- Wireless Body Area Networks
- Software Engineering Techniques and Practices
- Wireless Sensor Networks for Data Analysis
Al-Azhar University
2021-2024
Cairo University
2024
Beni-Suef University
2022
University of Technology - Iraq
2021
Ain Shams University
2016-2020
Howard University
2020
Helwan University
2014-2017
Auckland University of Technology
2015
Information Technology Laboratory
2014
University of Al-Qadisiyah
2014
A new annular ring microstrip patch resonator with reduced size is proposed. The underlying material partially occupied by a of metamaterial negative permittivity and permeability. It shown that the resonant frequency TM/sub 110/ cavity mode can be made as small we desire proper choice dimensions parameters. Relevance to design compact antennas for wireless receivers indicated.
Using the Langmuir−Blodgett (LB) technique, a poly(paraphenyleneethynylene) (PPE) fluorescent conjugated polymer was assembled on either quartz substrate (system I) or surface of silver nanocube (AgNC) monolayers II). The fluorescence intensity studied in system I as function density sample when deposited substrates and II coverage underlying AgNC monolayers. In I, continual increase is observed excited increased. II, first increased until threshold reached, after which it decreased rapidly...
We report on silver nanocubes (AgNCs) infiltrated into cylindrical nanopores of porous alumina membranes (PAM) with an outstanding chemical sensitivity based refractive index sensing (RIS) measurements. Numerical simulations performed using the finite‐difference time‐domain (FDTD) method suggested that enhanced is mainly inter‐pore coupling plasmonic effect. This effect related to amplification localized surface plasmon resonance (LSPR) between AgNCs located at pore walls neighboring pores...
We report on the synthesis of novel branched organic-inorganic azo-polyhedral oligomeric silsesquioxane (POSS) conjugates (Azo-POSS) and their use as a stable active medium to induce reversible plasmonic modulations embedded metal nanostructures. A dense monolayer silver nanocubes was deposited quartz substrate using Langmuir-Blodgett technique subsequently coated with an ultrathin Azo-POSS layer. The light-induced photoisomerization between trans cis states azobenzene-terminated POSS...
Antivirus software is one of the most widely used tools for detecting and stopping malicious unwanted files. However, long term effect traditional host based antivirus questionable. fails to detect many modern threats its increasing complexity has resulted in vulnerabilities that are being exploited by malware. This paper advocates a new model malware detection on end hosts providing as an in-cloud network service. enables identification multiple engines Respectively,This approach provides...
Competition between companies has made a great pressure to produce new features continuously as fast possible, subsequently successful software needs learn more about customers and get out them rapidly. Lean development cannot integrate operation teams. DevOps enables this merge creates operational parts one part of the process it up date during phase, so reduced errors deployment. The purpose paper is investigate how can use devops practices improve performance lean production introduces...
Object detection of autonomous vehicles presents a big challenge for researchers due to the requirements accuracy and precision in real-time. This work deep learning approach based on dual architecture design network. A highly accurate multi-class network convolutional neural networks (CNN) is presented input data classification. Region-Based Convolutional Neural Networks (Faster R-CNN) with modified Feature Pyramid (FPN) used better tiny objects You Only Look Once (YOLOv3) general...
With increasing urban growth worldwide and the need for maintenance work various facilities, a huge amount of concrete waste is produced.In addition, development metalworking industry has produced large metal waste, in order to preserve environment natural resources save landfill spaces, there reuse these wastes.Therefore, replacing aggregate that used mixes using recycled it reduced consumption aggregate.This paper presents significant adding mixed steel fiber which containing (industrial...
The defect prediction in the manufacturing of steel is a critical challenge because it affects quality and safety products. For this reason, intelligent image fusion approach introduced research to enhance accurate types locations materials. By utilizing U-Net architecture pretrained ResNet18 encoder layers, our method performs data from several imaging modalities thus supporting precise localization as well classification defects. In model’s learning curves comparing predicted segmentation...
Sometimes the data to be analyzed is not complete, and this may due censoring. There are two type of censoring, namely Type I II. Whether censoring was intentional or accidental, it no guarantee that does include suspected observations (too small too large). Theses might invalidate estimate parameters model. One way remedy use trimming Winsorizing. Traditional methods estimation such as maximum likelihood, least squares, Bayesian, moments methods, usually, work well for ordinary cases....
The increasing threat landscape of Distributed Denial-of-Service (DDoS) attacks makes network security a major concern. These are serious challenge to the stability and integrity digital infrastructures. This research paper is an in-depth study on how enhance through detection mitigation DDoS attacks. reviews existing literature attack strategies, emphasizing evolving nature these threats imperative for robust defense mechanisms. uses statistical analysis logistic regression provide detailed...
Healthcare 4.0, which is the integration of digital technologies in healthcare, promises to bring about revolutionary advancements but also introduces significant cybersecurity challenges. This research seeks address growing concerns by investigating security threats healthcare 4.0 systems. The study uses a multifaceted methodology that includes comprehensive literature review and empirical analysis using advanced algorithms such as Random Forest. Using visualization techniques, data...
Insects posses garden variety of traits, but for some which lack the ability vision, their species would have been extinct long ago. Through ingenuity creation, these adapted to environment by developing antennas where they can use principle basic electromagnetics feel surrounding objects. In this paper a new design broad band microstrip was investigated. The main aim is making patch like cockroach antenna and then recording parameters design. gave really good results as bandwidth percentage...
Cinnamoyl isothiocyanate 1 was reacted with 2-cyanoethanoic acid hydrazide 2 to afford 1-cyanoacetyl-4-substituted thiosemicarbazide 3 which on treatment a mixture of glacial acetic and anhydride gave the desired 5-cinnamoylamino-2-cyanomethyl-1,3,4-thiadiazole 4. Compound 4 subjected react aromatic aldehydes, phenylisothiocyanate, carbon disulphide arylidene malononitrile give coumarin 5, thiazolidines 8, 9 1,3,4-thiadiazolo[3,2-a]pyridine 13 derivatives.The structures all synthesized...
For achieving successful projects, effective planning and scheduling should be taken into consideration besides reaching an accepted balance among project objectives. As a result, this research focuses on attaining balancing set of objectives that are time, cost, number laborers. The purpose is to solve the problem multi-objective using multi-technique in best possible way accommodate with nature activities. This aim achieved by facilitating accuracy decision taking throughout choosing...
Energy resources have developed from Conventional such as coal, petroleum, and natural gas, to renewable energy solar wind energies. These environmental economic problems. According the capabilities provided by these of energy, industrial design products been be multi-function add value achieve more prosperity users. This product development especially household ones, makes consuming. Although occurs very fast; search for requires long time. Therefore problems need a new vision cope with...
Machine learning is used in natural language processing, general pattern recognition, image object detection, visual place and more.Deep Neural Networks have given computers human-level recognition.This capability requires extremely high computational demand, which conventional CPUs cannot meet.GPUs are considered for real-time processing.GPUs faster at vector computations convolution operations.Training deep networks takes time lots of data.Autoencoder, an unsupervised model, can...
This paper presents an Evolutionary Algorithm (EA) to solve the flexible job shop scheduling problem,especially minimizing makespan. A hybrid algorithm is introduced for solving problem.The proposed consists of three sequential stages. The first stage a new technique initializing feasiblesolutions, used as initial population second stage. uses genetic improve thesolutions that have been found in final tabu search best solution hasbeen by algorithm. Job Shop Scheduling Problem (JSSP) NP-hard...