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Enhanced Robotic Vision System Based on Deep Learning and Image Fusion

Computers, Materials & Continua 2022年第10期73卷 1845-1861页

作者： E.A.Alabdulkreem ahmed Sedik Abeer D.Algarni Ghada M.el Banby Fathi E.abd el-Samie Naglaa F.Soliman Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityRiyadh84428Saudi Arabia Department of the Robotics and Intelligent Machines Faculty of Artificial IntelligenceKafrelSheikh UniversityKafrelsheikh33511Egypt Department of Information Technology College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityRiyadh84428Saudi Arabia Department of Industrial electronics and Control Engineering Faculty of Electronic EngineeringMenoufia UniversityMenouf32952Egypt Department electronics and electrical Communications Faculty of Electronic EngineeringMenoufia UniversityMenouf32952Egypt Department of electronics and Communications Faculty of EngineeringZagazig UniversityZagazig44519Egypt

Image fusion has become one of the interesting fields that attract researchers to integrate information from different image *** is involved in several *** of the recent applications is the robotic *** application necessitates image enhancement of both infrared(IR)and visible *** paper presents a Robot Human Interaction System(RHIS)based on image fusion and deep *** basic objective of this system is to fuse visual and IR images for efficient feature extraction from the captured ***,an enhancement model is carried out on the fused image to increase its *** image enhancement models such as fuzzy logic,Convolutional Neural Network(CNN)and residual network(ResNet)pre-trained model are utilized on the fusion results and they are compared with each other and with the state-of-the-art *** results prove that the fuzzy logic enhancement gives the best results from the image quality ***,the proposed system can be considered as an efficient solution for the robotic vision problem with multi-modality images.

关键词： Deep learning fuzzy logic image fusion IR images

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Efficient Deep Learning Modalities for Object Detection from Infrared Images

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Computers, Materials & Continua 2022年第8期72卷 2545-2563页

作者： Naglaa F.Soliman E.A.Alabdulkreem Abeer D.Algarni Ghada M.el Banby Fathi E.abd el-Samie ahmed Sedik Department of Information Technology College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityRiyadh84428Saudi Arabia Department of electronics and Communications Faculty of EngineeringZagazig UniversityZagazig44519Egypt Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityRiyadh84428Saudi Arabia Department of Industrial electronics and Control Engineering Faculty of Electronic EngineeringMenoufia UniversityMenouf32952Egypt Department of electronics and electrical Communications Faculty of Electronic EngineeringMenoufia UniversityMenouf32952Egypt Department of the Robotics and Intelligent Machines Faculty of Artificial IntelligenceKafrelSheikh UniversityKafr el-sheikhEgypt

For military warfare purposes,it is necessary to identify the type of a certain weapon through video stream tracking based on infrared(IR)video *** vision is a visual search trend that is used to identify objects in images or video *** military applications,drones take a main role in surveillance tasks,but they cannot be confident for longtime ***,there is a need for such a system,which provides a continuous surveillance task to support the drone *** a system can be called a Hybrid Surveillance System(HSS).This system is based on a distributed network of wireless sensors for continuous *** addition,it includes one or more drones to make short-time missions,if the sensors detect a suspicious *** paper presents a digital solution to identify certain types of concealed weapons in surveillance applications based on Convolutional Neural Networks(CNNs)and Convolutional Long Short-Term Memory(ConvLSTM).Based on initial results,the importance of video frame enhancement is obvious to improve the visibility of objects in video *** accuracy of the proposed methods reach 99%,which reflects the effectiveness of the presented *** addition,the experimental results prove that the proposed methods provide superior performance compared to traditional ones.

关键词： Deep learning object detection military applications OFDM SPIHT IoT

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An Efficient Medical Image Deep Fusion Model Based on Convolutional Neural Networks

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Computers, Materials & Continua 2023年第2期74卷 2905-2925页

作者： Walid el-Shafai Noha A.el-Hag ahmed Sedik Ghada elbanby Fathi E.abd el-Samie Naglaa F.Soliman Hussah Nasser AlEisa Mohammed E.abdel Samea Department of electronics and electrical Communications Engineering Faculty of Electronic EngineeringMenoufia UniversityMenouf32952Egypt Security Engineering Laboratory Department of Computer SciencePrince Sultan UniversityRiyadh11586Saudi Arabia Higher Institute of Commercial Science Management Information SystemsEl-Mahala El-KobraEgypt Department of the Robotics and Intelligent Machines Faculty of Artificial IntelligenceKafrelsheikh UniversityKafr El-SheikhEgypt Department of Industrial electronics and Control Engineering Faculty of Electronic EngineeringMenoufia UniversityMenouf32952Egypt Department of Information Technology College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityRiyadhSaudi Arabia Medical Imaging and Interventional Radiology National Liver InstituteMenoufia UniversityEgypt

Medical image fusion is considered the best method for obtaining one image with rich details for efficient medical diagnosis and *** learning provides a high performance for several medical image analysis *** paper proposes a deep learning model for the medical image fusion *** model depends on Convolutional Neural Network(CNN).The basic idea of the proposed model is to extract features from both CT and MR ***,an additional process is executed on the extracted *** that,the fused feature map is reconstructed to obtain the resulting fused ***,the quality of the resulting fused image is enhanced by various enhancement techniques such as Histogram Matching(HM),Histogram Equalization(HE),fuzzy technique,fuzzy type,and Contrast Limited Histogram Equalization(CLAHE).The performance of the proposed fusion-based CNN model is measured by various metrics of the fusion and enhancement *** realistic datasets of different modalities and diseases are tested and ***,real datasets are tested in the simulation analysis.

关键词： Image fusion CNN deep learning feature extraction evaluation metrics medical diagnosis

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New Approach for the Synthesis of Pyrano[2,3-d]- thiazoles

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材料科学与工程（中英文A版） 2011年第5X期1卷 705-710页

作者： Mohamed Sayed abd-elaal elgay Shaban Ibrahim Mohamed hassan ahmed Eyada Tarek ahmed abd-el-Aziz Gameel ahmed Mohamed el-hag All Department of Chemistry Faculty of Science Al-Azhar University in Assiut Assiut 71524 Egypt Technology Engineering Institute Tamoh Giza Egypt Department of Chemistry Faculty of Science Al-Azhar University Nasr City Cairo Egypt

The structure of 2-carboxamidomethylene-4-thiazolidinone 1 has two active methylene groups: one is endocyclic and close the carbonyl group, where the other is branched at position 2 and close to endocyclic amino group. Thus, the reactivity of compound 1 towards arylidenemalononitrile and ethyl α-cyanocinnamates as electrophiles was studied. Consequently, a new route to the synthesis of pyrano[2,3-d]thiazoles 4a-d and 7a-d has been developed through heterocyclization of carboxamidomethylene -4-thiazolidinone 1 with some α-cyanocinnmonitriles derivatives.

关键词：噻唑啉酮吡喃酮合成氨基酸化合物衍生物羰基环和

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Removing Iron Ions Contaminants from Groundwater Using Modified Nano-Hydroxyapatite by Nano Manganese Oxide

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Journal of Water Resource and Protection 2019年第6期11卷 789-809页

作者： Mohammed abd-el-Aal ahmed Ayash Tarek ahmed Seaf elnasr Madiha hassan Soliman Sohag Company for Water and Waste Water Dar El Salam Sohag Egypt Chemistry Department Faculty of Science Al-Azhar University Assiut Egypt Chemistry Department Collage of Science Jouf University KSA Chemistry Department Faculty of Science Helwan University Cairo Egypt

In this article, we study modified nano-hydroxyapatite (HAp) by nano manganese oxide (Mn3O4) as adsorbent material to remove iron ions from groundwater. Different parameters were studied to option optimum conditions of removing such as contact time, pH, initial concentration, a dosage of adsorbent, agitation speed and temperature. Kinetics studies included first order (R2 = 0.915), pseudo-first order (R2 = 0.936), second order (R2 = 0.948), pseudo-second order (R2 = 0.995), elovich equation model (R2 = 0.977), intraparticle diffusion (R2 = 0.946), Natarajan and Khalaf (R2 = 0.915) were carried out, the obtained results revealed that the pseudo-second order is the best to describe the adsorption process because the correlation coefficient is approaching one (R2 = 0.995). Adsorption isotherm was calculated by using Freundlich, Langmuir and Temkin constants, adsorption capacity from Langmuir model was 0.606 mg/g. Thermodynamic parameters (ΔG, ΔH = ?51 KJ/mol, and ΔS = ?142 (KJ/mol)) for the adsorption process were also calculated and discussed.

关键词： Groundwater Adsorption Nano Materials Hydroxyapatite Manganese Oxide Iron Ions Kinetic Thermodynamic

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Occult HCV Infection (OCI) Diagnosis in Cirrhotic and Non-cirrhotic Naive Patients by Intra-PBMC Nested Viral RNA PCR

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Journal of Clinical and Translational Hepatology 2017年第4期5卷 319-326页

作者： Mohamed Darwish ahmed abd Alla Saleh ahmed elibiary George Y.Wu Mostafa Kamel el-Awady Tropical Medicine Department Faculty of MedicineAl-Azhar UniversityCairoEgypt Department of Medicine Division of Gastroenterology-HepatologyUniversity of Connecticut Health CenterFarmingtonCTUSA Department of Microbial Biotechnology National Research CenterCairoEgypt

Background and Aims:Occult HCV infections(OCIs)include IgG antibody seronegative cryptogenic(COCIs),as well as seropositive secondary na(i)ve(SNOCIs)and experienced(SEOCIs)*** used peripheral-blood-mononuclear-cell(PBMC)-PCR to evaluate COCIs and SNOCIs prevalence,serum HCV spontaneous disappearance(SCSD)in na(i)ve cirrhotics and non-cirrhotics,intra-PBMC HCV-RNA strands in relation to cirrhosis density in na(i)ve non-viremia cases,and HCV-RNA seroconversion after 1 year of solitary naive intra-PBMC ***:The anti-HCV IgG antibodypositive na(i)ve-patients(n=785)were classified into viremic(n=673)and non-viremic[n=112,including non-cirrhotics(n=55)and cirrhotics(n=57)],and 62 controls without evidence of *** and post-HCV non-viremia cases(n=62+112=174)were submitted to hepatic Fibroscanelastography *** subjects(n=847)were screened for intra-PBMC HCV-RNA sense and antisense strands by ***:Na(i)ve-OCI cases(4.84%)that were diagnosed by PBMC-PCR significantly raised the total numbers of HCV-infection to 714(p=0.01).The percent positivity of SNOCIs(34.82%)was significantly higher than for asymptomatic-COCIs(3.125%,p=0.0001).Comparing PBMC-PCR with single-step-reverse-transcription(SRT)-PCR for identification of SCSD in na(i)ve IgG antibody-positive nonviremia patients(n=112)revealed a decline in SCSD prevalence by PBMC-PCR(from 14.27%to 9.3%),regardless of presence of hepatic cirrhosis(p=0.03).SCSD was found to be higher by PBMC-PCR in non-cirrhotics compared to cirrhotics(p=0.0001),with an insignificant difference when using SRT-PCR(p=0.45).Intra-PBMC HCV-RNA infection was significantly more frequent in cirrhotics compared to both non-cirrhotics and controls(p<0.0005).An increased hepatic fibrosis density was recognized in intra-PBMC HCV-RNA infection with sense(p=0.0001)or antisense strand(p=0.003).HCV-RNA seroconversion was associated with intra-PBMC infection when both sense and antisense strands were dete

关键词： OCIs PBMCs Na(i)ve Cirrhosis

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Explanation of the Damage to the Royal Family’s Cemetery in Historic Cairo and Examination of the Building Materials

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Open Journal of Civil Engineering 2021年第1期11卷 28-59页

作者： ahmed elyamani Nabil A. abd el-Tawab Bader Mahmoud Algohary Ragab Abou el hassan Department of Archaeological Conservation Faculty of Archaeology Cairo University Cairo Egypt Treatment and Conservation Department Faculty of Archaeology Zagazig University Zagazig Egypt Restoration and Conservation of Antiquities Department Faculty of Archaeology and Tourism Guidance Misr University for Science and Technology 6th October City Egypt

The cemetery of the royal family, who ruled Egypt from 1805 to 1952, is one of the masterpieces of the UNESCO World Heritage Site of Historic Cairo. It is a complex building from massive stone masonry walls supporting hemispherical domes and is very rich with the marble decorative elements. Unfortunately, it suffers nowadays from serious cracking due to on-going structural damage. Almost all the structural elements are cracked. Besides, the continuous rise in the groundwater table affects both its structural stability and aesthetics. A detailed inspection was carried out to identify and explain all the manifested damage by the structural elements of the cemetery. The differential settlement damage was found to be very noticeable in the form of many diagonal cracks that are active and threaten the overall stability of the cemetery. The construction history was investigated and found to have a clear effect on the noticed damage. Examination of the construction materials and deterioration products was carried out by inspecting representative samples of the stone, the marble, the mortar, the plaster and the salt. They were examined using different analysis techniques including the Polarized Microscope, the Stereo Microscope, the X-Ray Diffraction (XRD), and the Scanning electron Microscope (SEM) provided with Energy-Dispersive X-ray spectroscopy (EDX) unit. This examination helped in identifying the type of the used stone, the mortar components, the types of salts affecting the structure, and the deterioration manifested by the marble. It seems that the cemetery needs an urgent conservation project to stop the deterioration and keep it safe for the next generations.

关键词： Historic Cairo Cemetery Differential Settlement Groundwater Damage XRD SEM-EDX Examination

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Clinical correlates of common corneal neovascular diseases: a literature review

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International Journal of Ophthalmology(English edition) 2015年第1期8卷 182-193页

作者： Nizar Saleh abdelfattah Mohamed Amgad Amira A Zayed Hamdy Salem ahmed E elkhanany Heba Hussein Nawal abd el-Baky Doheny Image Reading Center Doheny Eye InstituteUniversity of California Faculty of Medicine Cairo University Department of Surgery Mayo Clinic Faculty of Medicine University of Alexandria Department of Medical Oncology Mayo Clinic Faculty of Oral and Dental Medicine Cairo University Antibody Laboratory Protein Research DepartmentGenetic Engineering and Biotechnology Research InstituteCity for Scientific Research and Technology Applications

A large subset of corneal pathologies involves the formation of new vessels(neovascularization), leading to compromised visual acuity. This article aims to review the clinical causes and presentations of corneal neovascularization(CNV) by examining the mechanisms behind common CNV-related corneal pathologies, with a particular focus on herpes simplex stromal keratitis,contact lenses-induced keratitis and CNV secondary to keratoplasty. Moreover, we reviewed CNV in the context of different types of corneal transplantation and keratoprosthesis, and summarized the most relevant treatment available so far.

关键词： cornea neovascularization herpes simplex keratitis keratoplasty contact lens keratoprosthesis

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The Physical Transient Spectrum for a Multi-Photon V-Type Three-Level Atom Interacting with a Squeezed Coherent Field in the Presence of Nonlinearities

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Applied Mathematics 2011年第12期2卷 1425-1431页

作者： Fahmy K. Faramawy abd el-hameed abd-Riheem Eied 不详

We study the interaction of a multi-photon three-level atom with a single mode field in a cavity, taking explicitly into account the existence of forms of nonlinearities of both the field and the intensity-dependent atom-field coupling. The analytical forms of the emission spectrum is calculated using the dressed states of the system. The effects of photon multiplicities, mean photon number, detuning, Kerr-like medium and the intensity-dependent coupling functional on the emission spectrum are analyzed.

关键词： Emission Spectrum Nonlinearities Multi-Photon Process

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Secure Cancelable Template Based on Double Random Phase Encoding and Entropy Segmentation

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Computers, Materials & Continua 2022年第11期73卷 4067-4085页

作者： ahmed M.Ayoup Ashraf A.M.Khalaf Fathi E.abd el-Samie Fahad Alraddady Salwa M.Serag eldin Faculty of Engineering Electrical Engineering DepartmentMinia UniversityMinia61111Egypt Department of electronics and electrical Communications Engineering Faculty of Electronic EngineeringMenoufia UniversityMenoufia32952Egypt Department of Computer Engineering College of Computers and Information TechnologyTaif UniversityTaif 21944Saudi Arabia

In this paper,a proposed cancellable biometric scheme is based on multiple biometric image identifiers,Arnold’s cat map and double random phase encoding(DRPE)to obtain cancellable biometric *** proposed segmentation scheme that is used to select the region of interest for generating cancelable templates is based on chaos entropy low correlation statistical *** objective of segmentation is to reduce the computational cost and reliability of template *** left and right biometric(iris,fingerprint,palm print and face)are divided into non-overlapping blocks of the same *** define the region of interest(ROI),we select the block with the highest *** shorten the registration process time and achieve a high level of security,we select 25%of the image volume of the biometric *** addition,the low-cost security requirement lies in the use of selective encryption(SE)*** step of selecting the maximum entropy is executed on all biometric *** maximum right and left multi-biometric blocks are arranged in descending order from the entropy perspective and select 50%of each biometric couple and store the single *** obtained matrix is scrambled with a certain number of iterations using Arnold’s Cat Map(ACM).The obtained scrambled matrix is encrypted with the DRPE to generate the cancellable biometric templates,which are further *** simulation results display better performance of the suggested cancellable biometric system in noise scenarios using the area under the receiver operating characteristic(AROC).The strength of the suggested technique is examined with correlation,irregular deviation,maximum difference and maximum *** recommended proposed approach shows that the ability to distinguish the authentic and imposter biometrics of user seven in different levels of the noise environment.

关键词： Image identifier computation segmentation ACM (DRPE)

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