Towards a new potential field theory of fractal objects

Mostafa E. Mostafa 한국지질과학협의회 2010 Geosciences Journal Vol.14 No.4

The Potential Field Anomaly (PFA) data of the self similar Fractal Objects (FOs) include gravity and magnetic fields and potentials along with the related derivatives. These elements are calculated on grids due to buried FOs at different fractal orders. The objects have variable physical property distributions; while in magnetic, the orientation and magnitude of polarization or earth magnetic field is arbitrary. Using the structural index as Universal Fractal Order Invariant Measure, one of the contributions of this work is expressing the elements of the PFA data at any measuring point on a grid as geometric sequences in terms of the fractal order. We found that the common ratio of the sequences is equal to the Fractal Mass Ratio (FMR), a physical quantity characterizing the object. Therefore, we can interpolate the PFA data backward or forward from one fractal order to the other. This in turn allows us to directly calculate PFA data of FOs from the zero order objects equivalent to the solid sources or initiators. We conclude that the patterns of PFA data due to a self similar FO are scale-invariant and reflect the nature of this object. We express the FMR of a FO in a new equation describing the difference between the topological and fractal dimensions in terms of a linear scale.

Binary Classification of Hypertensive Retinopathy Using Deep Dense CNN Learning

Mostafa E.A., Ibrahim,Qaisar, Abbas International Journal of Computer ScienceNetwork S 2022 International journal of computer science and netw Vol.22 No.12

A condition of the retina known as hypertensive retinopathy (HR) is connected to high blood pressure. The severity and persistence of hypertension are directly correlated with the incidence of HR. To avoid blindness, it is essential to recognize and assess HR as soon as possible. Few computer-aided systems are currently available that can diagnose HR issues. On the other hand, those systems focused on gathering characteristics from a variety of retinopathy-related HR lesions and categorizing them using conventional machine-learning algorithms. Consequently, for limited applications, significant and complicated image processing methods are necessary. As seen in recent similar systems, the preciseness of classification is likewise lacking. To address these issues, a new CAD HR-diagnosis system employing the advanced Deep Dense CNN Learning (DD-CNN) technology is being developed to early identify HR. The HR-diagnosis system utilized a convolutional neural network that was previously trained as a feature extractor. The statistical investigation of more than 1400 retinography images is undertaken to assess the accuracy of the implemented system using several performance metrics such as specificity (SP), sensitivity (SE), area under the receiver operating curve (AUC), and accuracy (ACC). On average, we achieved a SE of 97%, ACC of 98%, SP of 99%, and AUC of 0.98. These results indicate that the proposed DD-CNN classifier is used to diagnose hypertensive retinopathy.

A TRUST REGION METHOD FOR SOLVING THE DECENTRALIZED STATIC OUTPUT FEEDBACK DESIGN PROBLEM

MOSTAFA, EL-SAYED M.E. 한국전산응용수학회 2005 Journal of applied mathematics & informatics Vol.18 No.1

The decentralized static output feedback design problem is considered. A constrained trust region method is developed that solves this optimal control problem when a complete set of state variables is not available. The considered problem is interpreted as a non-linear (non-convex) constrained matrix optimization problem. Then, a decentralized constrained trust region method is developed for this problem class exploiting the diagonal structure of the problem and using inexact computations. Finally, numerical results are given for the proposed method.

산란계사에서의 실내 먼지 농도와 발생율의 영향

이합모스타파 ( E. Mostafa ),이인복 ( I. -b. Lee ) 한국농공학회 2010 한국농공학회 학술대회초록집 Vol.2010 No.-

Poultry production is increasingly regarded as a source of air pollutants which can be environmentally harmful. The air in animal housing contains gases, odours, dust and micro-organisms. These pollutants could directly attenuate poultry health which has major consequences on productivity. Moreover, they could also have a drastic influence on the general health of the people living close to poultry enterprises and the labourers working inside these enterprises. Generally dust can be considered as one of the most important sources for air contamination in poultry houses, where it may be generated from feed, litter, dried manure, feathers and building materials. According to environment protection laws and the maximum acceptable dust concentration in the workplace, dust concentration inside poultry houses must be controlled to provide adequate air for the labourers and the animals inside these buildings. The aim of this investigation was to find out the effect of diurnal change, different year seasons, and housing style such as cage and aviary system on dust emission and correlate it with animal activity. The results showed that the different parameters have an effect on indoor dust concentration and its emission rate. The total indoor dust concentration in an aviary system isexceed the cage system by 18.76 %. The total dust emission rates were 2917 and 421 μg h-1hen-1 for aviary and cage housing systems respectively. The seasons also showed a significant difference in the dust emission rate and indoor dust concentration in both breeding systems where they are increasing gradually in both breeding systems. This increase of the dust emission rate correlated with the animal activity where it started in the early hours of the day till it reached its maximum in the middle of the day and then it decreased with low animal activity to a minimum emission at midnight.

APPLICATION OF FINITE ELEMENT METHOD IN SOLVING BOUNDARY CONTROL PROBLEM GOVERNED BY PARABOLIC VARIATIONAL INEQUALITIES WITH AN INFINITE NUMBER OF VARIABLES

Gh. E. Mostafa 경남대학교 수학교육과 2020 Nonlinear Functional Analysis and Applications Vol.25 No.4

In this paper, we introduce the finite element method and solve the boundary control problem governed by parabolic variational inequalities with an infinite number ofvariables by using this method.

A trust region method for solving the decentralized static output feedback design problem

M.E. Mostafa 한국전산응용수학회 2005 Journal of applied mathematics & informatics Vol.18 No.1-2

The decentralized static output feedback design problem is considered. A constrained trust region method is developed that solves this optimal control problem when a complete set of state variables is not available. The considered problem is interpreted as a non-linear (nonconvex) constrained matrix optimization problem. Then, a decentralized constrained trust region method is developed for this problem class exploiting the diagonal structure of the problem and using inexact computations. Finally, numerical results are given for the proposed method.

A Trust Region Method for Solving the Decentralized Static Output Feedback Design Problem

El--Sayed M. E. Mostafa 한국전산응용수학회 2005 Journal of applied mathematics & informatics Vol.18 No.1-2

The decentralized static output feedback design problem is considered. A constrained trust region method is developed that solves this optimal control problem when a complete set of state variables is not available. The considered problem is interpreted as a non-linear (nonconvex) constrained matrix optimization problem. Then, a decentralized constrained trust region method is developed for this problem class exploiting the diagonal structure of the problem and using inexact computations.Finally, numerical results are given for the proposed method.

Two novel synthetic peptides inhibit quorum sensing-dependent biofilm formation and some virulence factors in Pseudomonas aeruginosa PAO1

Mostafa N. Taha,Amal E. Saafan,A. Ahmedy,Eman El Gebaly,Ahmed S. Khairalla 한국미생물학회 2019 The journal of microbiology Vol.57 No.7

Quorum sensing (QS) regulates virulence factor expression in Pseudomonas aeruginosa. Inhibiting the QS-controlled virulence factors without inhibiting the growth of P. aeruginosa is a promising approach for overcoming the widespread resistance of P. aeruginosa. This study was proposed to investigate the effects of two novel synthetic peptides on the biofilm development and virulence factor production of P. aeruginosa. The tested strain was P. aeruginosa PAO1. The results indicated that both of the synthetic peptides (LIVRHK and LIVRRK) inhibited (P < 0.05) the formation of biofilms and the production of virulence factors, including pyocyanin, protease, and rhamnolipids, without inhibiting the growth of PAO1. Additionally, we detected transcriptional changes related to QS and found a significant reduction in the levels of gene expression of lasI, lasR, rhlI, and rhlR. This study demonstrates that LIVRRK and LIVRHK are novel synthetic peptides that can act as potent inhibitors of QS-regulated virulence factors in P. aeruginosa. Moreover, these synthetic peptides have potential applications in the treatment of biofilmrelated diseases. Both peptides may be able to control chronic infections and biofilm-associated problems of P. aeruginosa.

ANN Model for Predicting the Impact of Submerged Aquatic Weeds Existence on the Hydraulic Performance of Branched Open Channel SystemAccompanied by Water Structures

Alaa E. Abdin,Mostafa A. M. Abdeen 대한기계학회 2007 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.21 No.7

Bidirectional Chain Replication for Higher Throughput Provision

( Almetwally M. Mostafa ),( Ahmed E. Youssef ),( Yazeed Ali Aljarbua ) 한국인터넷정보학회 2019 KSII Transactions on Internet and Information Syst Vol.13 No.2

Provision of higher throughput without sacrificing consistency guarantees in replication systems is a critical problem. In this paper, we propose a novel approach called Bidirectional Chain Replication (BCR) to improve throughput in traditional Chain Replication (CR) through better utilization of computing and communication resources of the chain. Unlike CR where the whole replicated data store is treated as a single unit, in BCR the replicated shared data at each server in the chain is split into two disjoint Logical Partitions (LP1, LP2). This forms two chains running concurrently on the same hardware in two opposite directions; the first chain (CR1) exclusively manipulates data objects in LP1, while the second chain (CR2) exclusively manipulates data objects in LP2, therefore, conflict is avoided and concurrency is guaranteed. The simultaneous employment of these two chains results in better utilization of hardware in the sense that the two chains can evenly share the workload, hence, throughput can be improved without sacrificing consistency. Experimental results showed an improvement of approximately 85% in throughput of BCR over CR.