检索结果-南通市图书馆

Role of Ni content in improvement of corrosion resistance of Zn-Ni alloy in 3.5% Na Cl solution. Part I: Polarization and impedance studies

在线全文

学校读者我要写书评

暂无评论

Transactions of Nonferrous Metals Society of China 2015年第8期25卷 2807-2816页

作者： Hany M.abd el-LATEEF abdel-Rahman el-SAYED Hossnia S.MOHRAN Chemistry Department Faculty of Science Sohag University

Zn plays an important role in the protection of iron and steel from corrosion in sea water, and the alloying of Zn and Ni can improve its corrosion resistance. The corrosion behavior of Zn？Ni alloys in synthetic sea water （3.5% NaCl, mass fraction） was studied using Tafel plot and electrochemical impedance spectroscopy （EIS） techniques. The corrosion resistance of the investigated alloys with various Ni contents （0.5%？10%, mass fraction） was compared with that of Zn. The results show that the corrosion resistance of Zn？Ni alloys （except 0.5% Ni） is superior to that of Zn. The 10% Ni gives the highest corrosion resistance due to the formation ofγ-Zn3Ni withγ-ZnNi phases in the alloy. In the case of alloy I （0.5% Ni）, it exhibits a higher corrosion rate （less corrosion resistance） than Zn.

关键词： Zn-Ni alloy Ni content corrosion resistance Cl- ions impedance polarization

Cancelable Speaker Identification System Based on Optical-Like Encryption Algorithms

在线全文

学校读者我要写书评

暂无评论

Computer Systems Science & Engineering 2022年第10期43卷 87-102页

作者： Safaa el-Gazar Walid el-Shafai Ghada el-Banby Hesham F.A.Hamed Gerges M.Salama Mohammed abd-elnaby Fathi E.abd el-Samie Department of electrical Engineering Faculty of EngineeringEgyptian-Russian UniversityCairoEgypt Department of electronics and electrical Communications Engineering Faculty of Electronic EngineeringMenoufia UniversityMenouf32952Egypt Security Engineering Laboratory Department of Computer SciencePrince Sultan UniversityRiyadh11586Saudi Arabia Department of Industrial electronics and Control Engineering Faculty of Electronic EngineeringMenoufia UniversityMenouf32952Egypt Department of Computer Engineering College of Computers and Information TechnologyTaif UniversityTaif21944Saudi Arabia Department of Information Technology College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityRiyadh84428Saudi Arabia

Biometric authentication is a rapidly growing trend that is gaining increasing attention in the last *** achieves safe access to systems using biometrics instead of the traditional *** utilization of a biometric in its original format makes it usable only ***,a cancelable biometric template should be used,so that it can be replaced when it is *** biometrics aims to enhance the security and privacy of biometric *** encryption is an efficient technique to be used in order to generate cancelable biometric *** this paper,a highly-secure encryption algorithm is proposed to ensure secure biometric data in verification *** considered biometric in this paper is the speech *** speech signal is transformed into its ***,the spectrogram is encrypted using two cascaded optical encryption *** first algorithm is the Optical Scanning Holography(OSH)for its efficiency as an encryption *** OSH encrypted spectrogram is encrypted using Double Random Phase Encoding(DRPE)by implementing two Random Phase Masks(RPMs).After the two cascaded optical encryption algorithms,the cancelable template is *** verification is implemented through correlation estimation between enrolled and test templates in their encrypted *** the correlation value is larger than a threshold value,the user is *** threshold value can be determined from the genuine and imposter correlation distribution curves as the midpoint between the two *** implementation of optical encryption is adopted using its software rather than the optical *** efficiency of the proposed cancelable biometric algorithm is illustrated by the simulation *** can improve the biometric data security without deteriorating the recognition *** results give close-to-zero This values for the Equal Error Rate(EER)and close-to-one values for the Area under Receiver Operator Charact

关键词： Cancelable biometrics spectrogram OSH DRPE EER AROC

Synthesis of an eco-friendly nanocomposite fertilizer for common bean based on carbon nanoparticles from agricultural waste biochar

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Pedosphere 2021年第6期31卷 923-933页

作者： Dina M.SALAMA Mahmoud E.abd el-AZIZ Mehrez E.el-NAGGAR Essam A.SHAABAN Mohamed S.abd el-WAHED Vegetable Research Department National Research Centre33 El Bohouth StreetDokkiGiza 12622(Egypt) Polymers&Pigments Department National Research Centre33 El Bohouth StreetDokkiGiza 12622(Egypt) Textile Research Division National Research Centre33 El Bohouth StreetDokkiGiza 12622(Egypt) Pomology Department National Research Centre33 El Bohouth StreetDokkiGiza 12622(Egypt) Botany Department National Research Centre33 El Bohouth StreetDokkiGiza 12622(Egypt)

The burning of agricultural waste is a major cause of environmental *** this study,we sought to prepare biochar from agricultural waste as a source material for the preparation of carbon nanoparticles(CNPs).Surface morphology,hydrodynamic particle size,and purity and crystallinity of CNPs were extensively investigated using transmission electron microscopy(TEM),zeta sizing,and X-ray diffraction(XRD)spectroscopy,*** CNPs were subsequently immersed in a solution of potassium nitrate(KNO_(3))to prepare a CNPs/NK nanocomposite(CNPs loaded with nitrogen(N)and potassium(K))as a nanocomposite fertilizer for common bean(Phaseolus vulgaris L.).The CNPs/NK nanocomposite was sprayed as a foliar fertilizer at 0,10,20,30,and 40 mg L^(-1) on common bean plants 25 d after sowing on a farm in Shebin el-Kom,el-Monifia,*** growth,yield,and quality of common bean were investigated during two successive growing seasons(2017 and 2018).The highest seed yields of 2.04 and 2.01 t ha^(-1) and the highest values of growth parameters including plant height of 61.5 and 59.2 cm,number of leaves per plant of 35 and 35,number of flowers per plant of 83.3 and 82.7,and plant fresh weight of 148.7 and 152.8 g plant^(-1) were obtained when using the CNPs/NK nanocomposite at a concentration of 20 mg L^(-1) during the 2017 and 2018 growing seasons,respectively.

关键词： foliar fertilizer N and K-loaded nanosized carbon particles Phaseolus vulgaris L. plant growth yield

Preparation and characterization of eco-friendly poly(p-phenylenediamine) and its composite with chitosan for removal of copper ions from aqueous solutions

在线全文

学校读者我要写书评

暂无评论

Transactions of Nonferrous Metals Society of China 2015年第11期25卷 3808-3819页

作者： N.A.abdelWAHAB E.A.AL-ASHKAR M.A.abd el-GHAFFAR Polymers and Pigments Department National Research Centre Spectroscopy Department Physics Division National Research Centre

Poly(p-phenylenediamine)/chitosan (PPPDA/Chi) composite was prepared by in situ chemical oxidative polymerization of p-phenylenediamine (PPPDA) into chitosan (Chi) using ammonium persulphate (APS) as an oxidant. PPPDA and PPPDA/Chi composite were characterized by FT-IR spectra and SEM before and after copper loading. In batch adsorption method, the maximum removal of copper was experienced when 1 g/L of PPPDA and PPPDA/Chi composite dosages were used at pH 5.0 for PPPDA and 6.0 for PPPDA/Chi composite for 360 min for both sorbents. PPPDA showed adsorption capacity qemax of 650 mg/g whereas its composite achieved qemax of 573 mg/g. The experimental data correlate well with the Freundlich isotherm equation and the pseudo-second order kinetic model. The Cu(II), loaded PPPDA and its composite can be efficiently reused for as many as four cycles. The Cu(II)-loaded sorbents showed high antibacterial efficiency against Gram-positive and Gram-negative bacteria than their unloaded forms.

关键词： copper removal adsorption poly(p-phenylenediamine)/chitosan composite kinetics isotherms

Assessment of KL-6 as a tumor marker in patients with hepatocellular carcinoma

在线全文

学校读者我要写书评

暂无评论

World Journal of Gastroenterology 2005年第42期11卷 6607-6612页

作者： Amal Gad Eiji Tanaka Akihiro Matsumoto Moushira abd-el Wahab abd el-Hamid Serwah Fawzy Attia Khalil Ali Howayda Hassouba abd el-Raoof el-Deeb Tetsuya Ichijyo Takeji Umemura Hidetomo Muto Kaname Yoshizawa Kendo Kiyosawa Second Department of Internal Medicine Shinshu University School of Medicine Matsumoto Japan Howayda Hassouba Abd el-Raoof el-Deeb Suez Canal University School of Medicine Ismailia Egypt Second Department of Internal Medicine Shinshu University School of Medicine Matsumoto Japan Howayda Hassouba abd el-Raoof el-Deeb Suez Canal University School of Medicine Ismailia Egypt Shinshu University Graduate School of Medicine Institutes of Organ Transplants Reconstructive Medicine and Tissue Engineering Matsumoto Japan

AIM： To investigate the clinical significance of KL-6 as a tumor marker of HCC in two different ethnic groups with chronic liver disease consecutively encountered at outpatient clinics. METHODS： Serum KL-6 was measured by the sandwich enzyme immunoassay method using the KL-6 antibody （Ab） as both the capture and tracer Ab according to the manufacturer＇s instructions （Eisai, Tokyo, Japan）. Assessment of alpha fetoprotein （AFP） and protein induced vitamin K deficiency or absence （PIVKA-II） was performed in both groups using commercially available kits. RESULTS： A significantly higher mean serum KL-6 （556±467 U/L） was found in HCC in comparison with non-HCC groups either with （391±176 U/L; P〈0.001） or without （361±161 U/L; P〈0.001） liver cirrhosis （LC）. Serum KL-6 level did not correlate with either AFP or PIVKA-II serU/Levels. Using rec：eiver operating curve analysis for KL-6 as a predictor for HCC showed that the area under the curve was 0.574 （95%CI = 0.50-0.64） and the KL-6 level that gave the best sensitivity （61%） was found to be 334 U/L but according to the manufacturer＇s instructions; a cut-off point of 500 U/L was used that showed the highest specificity （80%） in comparison with AFP and PIVKA-II （78% vs 72% respectively）. Combining the values of the three markersimproved specificity of AFP for HCC diagnosis from 78% for AFP alone; 93% for AFP plus PIVKA-II to 99% for both plus KL-6 value （P〈0.001）. Mean serum alkaline phosphatase level was significantly higher in KL-6 positive （564＋475） in comparison with KL-6 negative （505＋469） HCC patients （P = 0.021）, but such a difference was not found among non-HCC corresponding groups. CONCLUSION： KL-6 is suggested as a tumor for HCC. Its positivity may reflect HCC-associated cholestasis and/ or local tumor invasion.

关键词： Tumor markers Liver disease Hepatocellularcarcinoma

Erlang mixture distribution with application on COVID-19 cases in Egypt

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

International Journal of Biomathematics 2021年第3期14卷 203-220页

作者： M.M.E.abd el-Monsef Faculty of Science Tanta University Al-Geish StreetTantaGharbiaEgypt

In this paper,a finite mixture of m-Brlang distributions is *** moments,shape characteristics and parameter estimates of the proposed model are also *** proposed mixture has the property that it has a bounded hazard function.A special case of the mixed Erlang distribution is introduced and *** addition,a predictive technique is introduced to estimate the needed number of mixture components to fit a certain data.A real data concerning the confirmed COVID-19 cases in Egypt is introduced to utilize the predictive estimation *** more real datasets are used to examine the flexibility of the proposed model.

关键词： Erlang distribution mixture distribution goodness-of-fit test COVID-19

Efficient Deep-Learning-Based Autoencoder Denoising Approach for Medical Image Diagnosis

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Computers, Materials & Continua 2022年第3期70卷 6107-6125页

作者： Walid el-Shafai Samy abd el-Nabi el-Sayed Mel-Rabaie Anas M.Ali Naglaa F.Soliman Abeer D.Algarni Fathi E.abd el-Samie Department of electronics and electrical Communications Faculty of Electronic EngineeringMenoufia UniversityMenouf32952Egypt Alexandria Higher Institute of Engineering&Technology(AIET) AlexandriaEgypt Department of Information Technology College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityRiyadh84428Saudi Arabia

Effective medical diagnosis is dramatically expensive,especially in third-world *** of the common diseases is pneumonia,and because of the remarkable similarity between its types and the limited number of medical images for recent diseases related to pneumonia,themedical diagnosis of these diseases is a significant ***,transfer learning represents a promising solution in transferring knowledge from generic tasks to specific ***,experimentation and utilization of different models of transfer learning do not achieve satisfactory *** this study,we suggest the implementation of an automatic detectionmodel,namelyCADTra,to efficiently diagnose pneumonia-related *** model is based on classification,denoising autoencoder,and transfer ***,pre-processing is employed to prepare the medical *** depends on an autoencoder denoising(AD)algorithm with a modified loss function depending on a Gaussian distribution for decoder output to maximize the chances for recovering inputs and clearly demonstrate their features,in order to improve the diagnosis ***,classification is performed using a transfer learning model and a four-layer convolution neural network(FCNN)to detect *** proposed model supports binary classification of chest computed tomography(CT)images and multi-class classification of chest X-ray ***,a comparative study is introduced for the classification performance with and without the denoising *** proposed model achieves precisions of 98%and 99%for binary classification and multi-class classification,respectively,with the different ratios for training and *** demonstrate the efficiency and superiority of the proposed CADTra model,it is compared with some recent state-of-the-art CNN *** achieved outcomes prove that the suggested model can help radiologists to detect pneumonia-related diseases and improve the diagnostic efficiency compared to the exis

关键词： Medical images CADTra AD CT and X-ray images autoencoder

Analysis of BrainMRI: AI-Assisted Healthcare Framework for the Smart Cities

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Intelligent Automation & Soft Computing 2023年第2期35卷 1843-1856页

作者： Walid el-Shafai Randa Ali Ahmed Sedik Taha el-Sayed Taha Mohammed abd-elnaby Fathi E.abd el-Samie Department electronics and electrical Communications Engineering Faculty of Electronic EngineeringMenoufia UniversityMenoufia32952Egypt Department of ROBOTICS and Intelligent Machines Faculty of Artificial IntelligenceKafrelsheikh UniversityKafrelsheikhEgypt Department of Computer Engineering College of Computers and Information TechnologyTaif UniversityTaif21944Saudi Arabia

The use of intelligent machines to work and react like humans is vital in emerging smart ***-aided analysis of complex and huge MRI(Mag-netic Resonance Imaging)scans is very important in healthcare *** AI(Artiﬁcial Intelligence)driven healthcare applications,tumor detection is one of the contemporary researchﬁelds that have become attractive to *** are several modalities of imaging performed on the brain for the pur-pose of tumor *** paper offers a deep learning approach for detecting brain tumors from MR(Magnetic Resonance)images based on changes in the division of the training and testing data and the structure of the CNN(Convolu-tional Neural Network)*** proposed approach is carried out on a brain tumor dataset from the National Centre of Image-Guided Therapy,including about 4700 MRI images of ten brain tumor cases with both normal and abnormal *** dataset is divided into test,and train subsets with a ratio of the training set to the validation set of 70:*** main contribution of this paper is introdu-cing an optimum deep learning structure of CNN *** simulation results are obtained for 50 epochs in the training *** simulation results reveal that the optimum CNN architecture consists of four layers.

关键词： Healthcare smart cities clinical automation CNN machine learning brain tumor medical diagnosis

Artificial Fish Swarm for Multi Protein Sequences Alignment in Bioinformatics

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Computers, Materials & Continua 2022年第9期72卷 6091-6106页

作者： Medhat A.Tawfeek Saad Alanazi A.A.abd el-Aziz Department of Computer Science College of Computer and Information SciencesJouf UniversitySaudi Arabia(KSA Department of Computer Science Faculty of Computers and InformationMenoufia UniversityEgypt Department of Information Systems College of Computer and Information SciencesJouf UniversitySaudi Arabia(KSA) Department of Information Systems and Technology Faculty of Graduates Studies and ResearchCairo UniversityEgypt

The alignment operation between many protein sequences or DNAsequences related to the scientific bioinformatics application is very *** is a trade-off in the objectives in the existing techniques of MultipleSequence Alignment (MSA). The techniques that concern with speed ignoreaccuracy, whereas techniques that concern with accuracy ignore speed. Theterm alignment means to get the similarity in different sequences with highaccuracy. The more growing number of sequences leads to a very complexand complicated problem. Because of the emergence;rapid development;anddependence on gene sequencing, sequence alignment has become importantin every biological relationship analysis process. Calculating the numberof similar amino acids is the primary method for proving that there is arelationship between two sequences. The time is a main issue in any alignmenttechnique. In this paper, a more effective MSA method for handling themassive multiple protein sequences alignment maintaining the highest accuracy with less time consumption is proposed. The proposed method dependson Artificial Fish Swarm (AFS) algorithm that can break down the mostchallenges of MSA problems. The AFS is exploited to obtain high accuracyin adequate time. ASF has been increasing popularly in various applicationssuch as artificial intelligence, computer vision, machine learning, and dataintensive application. It basically mimics the behavior of fish trying to getthe food in nature. The proposed mechanisms of AFS that is like preying,swarming, following, moving, and leaping help in increasing the accuracy andconcerning the speed by decreasing execution time. The sense organs that aidthe artificial fishes to collect information and vision from the environmenthelp in concerning the accuracy. These features of the proposed AFS make thealignment operation more efficient and are suitable especially for large-scaledata. The implementation and experimental results put the proposed AFS as afirst choice in th

关键词： Multiple sequence alignment swarm intelligence artificial fish swarm protein sequences