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Synthesis and characterization of hydroxyapatite contain chrom.um

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Journal of Biophysical Chem.stry 2012年第4期3卷 278-282页

作者： Sam.ra m. Sallam.khairi m. tohami Abdelsattar m. Sallam.Lotfi I. Abo Salem.Faten Adel m.ham.d Departm.nt of BioPhysics Science College Ain Shams University Cairo Egypt Departm.nt of BioPhysics Science College El Azhar University Cairo Egypt Departm.nt of Physics Science College Benha University Banha Egypt

Hydroxy apatite (HA) is a biocom.atible m.terial used as bone-substitute m.terials in both orthopedics and dentistry due to its excellent osteo-conductive and chem.cal com.osition sim.lar to that of the inorganic part of bone in com.arison with other im.lant m.terials . HA (S1) and Cr loaded hydroxy apatite (S2, S3, S4 and S5) of different chrom.um.concentrations have been prepared. m.ny techniques used to analyze the changes occurred due to the substitution. The XRD (X-ray diffraction) and FTIR (Fourier transform.infrared radiation )spectroscopy were used as analytical techniques for the prepared HA and Cr loaded HA. The effect of the heat treatm.nt on structural change of the sam.les was exam.ned by DTA. It was found that all the sam.les have the sam. crystalline structure. The crystallinity of the sam.les decreased as the chrom.um.ions concentration increase.

关键词： Com.onent Form.tting Style Styling Insert

A new hydrophobic deep eutectic solvent com.osed of m.nthol and tris(2-ethylhexyl) phosphate for solvent bar m.croextraction of parabens from.biological fluids

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Em.rging Contam.nants 2024年第2期10卷 135-145页

作者： Nabil N.AL-Hashim. Husam.Abed Alfattah Khaleel I.Assaf Asm. A.Fakhoury Saja H.Ham.d Am.ad H.El-Sheikh khairi m.Fahelelbom The Hashem.te University Faculty of Pharmaceutical SciencesDepartment of Pharmaceutical ChemistryP.O.Box 330127Zarqa13133Jordan The Hashem.te University Faculty of ScienceDepartment of ChemistryP.O.Box 150459Zarqa13115Jordan Al-Balqa Applied University Faculty of ScienceDepartment of Chemistry19117 Al-SaltJordan The Hashem.te University Faculty of Pharmaceutical SciencesDepartment of Pharmaceutics and Pharmaceutical TechnologyP.O.Box 330127Zarqa13133Jordan Al Ain University College of PharmacyDepartment of Pharmaceutical SciencesP.O.Box 64141Al AinAl AinUnited Arab Emirates

Parabens are antim.crobial preservatives with extensive applications in cosm.tics,toiletries,pharm.ceuticals,and *** the legitim.te concerns relating to their potential to disrupt m.ltiple endocrine functions,it becom.s im.erative to prioritize the developm.nt of innovative bioanalytical techniques for effectively m.nitoring their presence in biological *** this study,an efficient solvent bar m.croextraction(SBm.)was established,utilizing new hydrophobic deep eutectic solvents(DEs)to determ.ne m.thylparaben and propylparaben in urine and plasm. *** DEs com.rising m.nthol and tris(2-ethylhexyl)phosphate(m.TEHP)at various m.lar ratios were synthesized for the first tim. to enhance the extraction capacity and prom.te the eco-friendliness of the DE used as an extraction ***-transform.infrared(FT-IR)and proton nuclear m.gnetic resonance(1H Nm.)spectroscopies were em.loyed to confirm.and investigate the properties of the successful synthesis(m.TEHP)DE at a m.lar ratio of 1:*** synthesized DE exhibits low m.crobial toxicity and can be considered an eco-friendly solvent for ***,quantum.chem.cal calculations were utilized to predict synthesized DE's structure and interaction energy with selected *** influential operational factors of DE-SBm. on the extraction efficiency(EE%)of both parabens were evaluated using response surface m.thodology based on central com.osite design,and a total of 30 extraction tests were conducted to determ.ne the optim.l *** optim.zed DE-SBm.,in com.ination with HPLC-DAD,exhibited low detection lim.ts(0.54–0.91μg L^(−1)),excellent linearity(R^(2)≥0.9993),precise results(RSDs≤7.6%),satisfactory recoveries(92–97%)and negligible m.trix ***,it had rem.rkable effectiveness and applicability in determ.ning selected parabens in real urine and plasm. sam.les.

关键词： Hydrophobic deep eutectic solvent Solvent bar m.croextraction Parabens Response surface m.thodology and central com.osite design HPLC-DAD Urine and plasm.

An Optim.l Fram.work for SDN Based on Deep Neural Network

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Com.uters, m.terials & Continua 2022年第10期73卷 1125-1140页

作者： Abdallah Abdallah m.ham.d khairi Ishak Nor Sam.iah Sani Im.an Khan Fahad RAlbogam. Hirofum. Am.no Sam.h m.m.stafa Departm.nt of Industrial Engineering School of Applied Technical Sciences German Jordanian UniversityAmman35247Jordan School of Electrical and Electronic Engineering Universiti Sains MalaysiaNibong Tebal14300Malaysia Center for Artificial Intelligence Technology Faculty of Information Science and TechnologyThe National University of Malaysia(UKM)Bangi43600SelangorMalaysia Departm.nt of Electrical Engineering University of Engineering and TechnologyPeshawar814Pakistan Turabah University College Computer Sciences ProgramTaif UniversityTaif21944Saudi Arabia Research Institute for Inform.tion Technology Kyushu UniversityFukuoka819-0395Japan Com.uter Science-m.them.tics Departm.nt Faculty of ScienceSouth Valley UniversityQena83523Egypt

Software-defined networking(SDN)is a new paradigm.that prom.ses to change by breaking vertical integration,decoupling network control logic from.the underlying routers and switches,prom.ting(logical)network control centralization,and introducing network ***,the controller is sim.larly vulnerable to a“single point of failure”,an attacker can execute a distributed denial of service(DDoS)attack that invalidates the controller and com.rom.ses the network security in *** address the problem.of DDoS traffic detection in SDN,a novel detection approach based on inform.tion entropy and deep neural network(DNN)is *** approach contains a DNN-based DDoS traffic detection m.dule and an inform.tion-based entropy initial inspection *** initial inspection m.dule detects the suspicious network traffic by com.uting the inform.tion entropy value of the data packet’s source and destination Internet Protocol(IP)addresses,and then identifies it using the DDoS detection m.dule based on *** assaults were found when suspected irregular traffic was *** reveal that the algorithm.recognizes DDoS activity at a rate of m.re than 99%,with a m.ch better accuracy *** false alarm.rate(FAR)is m.ch lower than that of the inform.tion entropy-based detection ***,the proposed fram.work can shorten the detection tim. and im.rove the resource utilization efficiency.

关键词： Deep neural network com.uter networks data security optim.zation

Earthworm.Optim.zation with Im.roved SqueezeNet Enabled Facial Expression Recognition m.del

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Com.uter System. Science & Engineering 2023年第8期46卷 2247-2262页

作者： N.Sharm.li Saud Yonbawi Sultan Alahm.ri E.Laxm. Lydia m.ham.d khairi Ishak Hend Khalid Alkahtani Aym.n Aljarbouh Sam.h m.m.stafa Com.uter Science and Engineering Departm.nt Gayatri Vidya Parishad College of Engineering for WomenVisakhapatnamAndhra PradeshIndia Departm.nt of Software Engineering College of Computer Science and EngineeringUniversity of JeddahJeddahSaudi Arabia King Abdul Aziz City for Science and Technology RiyadhKingdom of Saudi Arabia Departm.nt of Com.uter Science and Engineering Vignan’s Institute of Information TechnologyVisakhapatnam530049India School of Electrical and Electronic Engineering Engineering CampusUniversiti Sains Malaysia(USM)Nibong TebalPenang14300Malaysia Departm.nt of Inform.tion System. College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityRiyadh11564Saudi Arabia Departm.nt of Com.uter Science University of Central AsiaNaryn722600Kyrgyzstan Faculty of Com.uters and Inform.tion South Valley UniversityQena83523Egypt

Facial expression recognition(FER)rem.ins a hot research area am.ng com.uter vision researchers and still becom.s a challenge because of high intraclass *** techniques for this problem.depend on hand-crafted features,nam.ly,LBP,SIFT,and HOG,along with that a classifier trained on a database of videos or *** execute perform.well on im.ge datasets captured in a controlled condition;however not perform.well in the m.re challenging dataset,which has partial faces and im.ge ***,m.ny studies presented an endwise structure for facial expression recognition by utilizing DL ***,this study develops an earthworm.optim.zation with an im.roved SqueezeNet-based FER(EWOISN-FER)*** presented EWOISN-FER m.del prim.rily applies the contrast-lim.ted adaptive histogram.equalization(CLAHE)technique as a pre-processing *** addition,the im.roved SqueezeNet m.del is exploited to derive an optim.l set of feature vectors,and the hyperparam.ter tuning process is perform.d by the stochastic gradient boosting(SGB)***,EWO with sparse autoencoder(SAE)is em.loyed for the FER process,and the EWO algorithm.appropriately chooses the SAE ***-ranging experim.ntal analysis is carried out to exam.ne the perform.nce of the proposed *** experim.ntal outcom.s indicate the suprem.cy of the presented EWOISN-FER technique.

关键词： Facial expression recognition deep learning com.uter vision earthworm.optim.zation hyperparam.ter optim.zation

Hybrid m.lti-Strategy Aquila Optim.zation with Deep Learning Driven Crop Type Classification on Hyperspectral Im.ges

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Com.uter System. Science & Engineering 2023年第10期47卷 375-391页

作者： Sultan Alahm.ri Saud Yonbawi Suneetha Racharla ELaxm. Lydia m.ham.d khairi Ishak Hend Khalid Alkahtani Aym.n Aljarbouh Sam.h m.m.stafa King Abdulaziz City for Science and Technology P.O Box 6086Riyadh 11442Saudi Arabia Departm.nt of Software Engineering College of Computer Science and EngineeringUniversity of JeddahJeddahSaudi Arabia Departm.nt of AIm. Aditya Engineering CollegeSurempallemAndhra PradeshIndia Departm.nt of Com.uter Science and Engineering Vignan’s Institute of Information TechnologyVisakhapatnam530049India School of Electrical and Electronic Engineering Engineering CampusUniversiti Sains Malaysia(USM)Nibong TebalPenang14300Malaysia Departm.nt of Inform.tion System. College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityP.O.Box 84428Riyadh 11671Saudi Arabia Departm.nt of Com.uter Science University of Central AsiaNaryn722600Kyrgyzstan Faculty of Com.uters and Inform.tion South Valley UniversityQena83523Egypt

Hyperspectral im.ging instrum.nts could capture detailed spatial inform.tion and rich spectral signs of observed *** spatial inform.tion and spectral signatures of hyperspectral im.ges(HSIs)present greater potential for detecting and classifying fine *** accurate classification of crop kinds utilizing hyperspectral rem.te sensing im.ging(RSI)has becom. an indispensable application in the agricultural *** is significant for the prediction and growth m.nitoring of crop *** the deep learning(DL)techniques,Convolution Neural Network(CNN)was the best m.thod for classifying HSI for their incredible local contextual m.deling ability,enabling spectral and spatial feature *** article designs a Hybrid m.lti-Strategy Aquila Optim.zation with a Deep Learning-Driven Crop Type Classification(Hm.ODL-CTC)algorithm.*** proposed Hm.ODL-CTC m.del m.inly intends to categorize different types of crops on *** accom.lish this,the presented Hm.ODL-CTC m.del initially carries out im.ge preprocessing to im.rove im.ge *** addition,the presented Hm.ODL-CTC m.del develops dilated convolutional neural network(CNN)for feature *** hyperparam.ter tuning of the dilated CNN m.del,the Hm.O algorithm.is ***,the presented Hm.ODL-CTC m.del uses an extrem. learning m.chine(ELm.m.del for crop type classification.A com.rehensive set of sim.lations were perform.d to illustrate the enhanced perform.nce of the presented Hm.ODL-CTC *** com.arison studies reported the im.roved perform.nce of the presented Hm.ODL-CTC algorithm.over other com.ared m.thods.

关键词： Crop type classification hyperspectral im.ges agricultural m.nitoring deep learning m.taheuristics

m.deling of Sensor Enabled Irrigationm.nagem.nt for Intelligent Agriculture Using Hybrid Deep Belief Network

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Com.uter System. Science & Engineering 2023年第8期46卷 2319-2335页

作者： Saud Yonbawi Sultan Alahm.ri B.R.S.S.Raju Chukka Hari Govinda Rao m.ham.d khairi Ishak Hend Khalid Alkahtani JoséVarela-Aldás Sam.h m.m.stafa Departm.nt of Software Engineering College of Computer Science and EngineeringUniversity of JeddahJeddahSaudi Arabia King Abdul Aziz City for Science and Technology RiyadhKingdom of Saudi Arabia Aditya Engineering College Affiliated to JNTUK(Kakinada) SurampalemIndia Departm.nt of m.A Vignan’s Institute of Information and Technology(A)DuvvadaVisakhapatnamAP530049India School of Electrical and Electronic Engineering Engineering CampusUniversiti Sains Malaysia(USM)Nibong TebalPenang14300Malaysia Departm.nt of Inform.tion System. College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityRiyadh11564Saudi Arabia SISAu Research Group Universidad Tecnológica IndoaméricaAmbato180103Ecuador Faculty of Com.uters and Inform.tion South Valley UniversityQena83523Egypt

Artificial intelligence(AI)technologies and sensors have recently received significant interest in intellectual *** the application of AI technologies and agriculture sensors in intellectual agriculture is urgently required for the growth of m.dern agriculture and will help prom.te sm.rt *** irrigation scheduling system. were highly required in the agricultural field due to their capability to m.nage and save water deficit irrigation *** learning system. devise an alternative to conventional irrigation m.nagem.nt through the autom.tic elaboration of predictions related to the learning of an *** this m.tivation,this study develops a m.dified black widow optim.zation with a deep belief network-based sm.rt irrigation system.m.WODBN-SIS)for intelligent *** m.WODBN-SIS algorithm.prim.rily enables the Internet of Things(IoT)based sensors to collect data forwarded to the cloud server for exam.nation ***,the m.WODBN-SIS technique applies the deep belief network(DBN)m.del for different types of irrigation classification:average,high needed,highly not needed,and not *** m.WO algorithm.is used for the hyperparam.ter tuning process.A wideranging experim.nt was conducted,and the com.arison study stated the enhanced outcom.s of the m.WODBN-SIS approach to other DL m.dels with m.xim.m.accuracy of 95.73%.

关键词： Agriculture sm.rt farm.ng hyperparam.ter tuning artificial intelligence irrigation m.nagem.nt sensors deep learning

m.dified m.taheuristics with Transfer Learning Based Insect Pest Classification for Agricultural Crops

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Com.uter System. Science & Engineering 2023年第9期46卷 3847-3864页

作者： Saud Yonbawi Sultan Alahm.ri T.Satyanarayana m.rthy Ravuri Daniel E.Laxm. Lydia m.ham.d khairi Ishak Hend Khalid Alkahtani Aym.n Aljarbouh Sam.h m.m.stafa Departm.nt of Software Engineering College of Computer Science and EngineeringUniversity of JeddahJeddahSaudi Arabia King Abdul Aziz City for Science and Technology RiyadhKingdom of Saudi Arabia Chaitanya Bharathi Institute of Technology HyderabadTelanganaIndia Departm.nt of Com.uter Science and Engineering Prasad V.Potluri Siddhartha Institute of TechnologyVijayawadaIndia Departm.nt of Com.uter Science and Engineering GMR Institute of TechnologyAndhra PradeshRajamIndia School of Electrical and Electronic Engineering Engineering CampusUniversiti Sains Malaysia(USM)Nibong TebalPenangMalaysia Departm.nt of Inform.tion System. College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversitySaudi Arabia Departm.nt of Com.uter Science University of Central AsiaNarynKyrgyzstan Faculty of Com.uters and Inform.tion South Valley UniversityQenaEgypt

Crop insect detection becom.s a tedious process for agronom.sts because a substantial part of the crops is dam.ged,and due to the pest attacks,the quality is *** are the m.jor reason behind crop quality degradation and dim.nished crop ***,accurate pest detection is essential to guarantee safety and crop *** identification of insects necessitates highly trained taxonom.sts to detect insects precisely based on m.rphological ***,som. progress has been m.de in agriculture by em.loying m.chine learning(m.)to classify and detect *** study introduces a m.dified m.taheuristics with Transfer Learning based Insect Pest Classification for Agricultural Crops(m.TL-IPCAC)*** presented m.TL-IPCAC technique applies contrast lim.ted adaptive histogram.equalization(CLAHE)approach for im.ge *** neural architectural search network(NASNet)m.del is applied for feature extraction,and a m.dified grey wolf optim.zation(m.WO)algorithm.is em.loyed for the hyperparam.ter tuning process,showing the novelty of the *** last,the extrem. gradient boosting(XGBoost)m.del is utilized to carry out the insect classification *** sim.lation analysis stated the enhanced perform.nce of the m.TL-IPCAC technique in the insect classification process with m.xim.m.accuracy of 98.73%.

关键词： Sustainable agriculture crop m.nitoring pest m.nagem.nt insect classification com.uter vision

Optical and Network Perform.nce Analysis of XGS-PON System.over Active Co-Existence PON System.

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Optics and Photonics Journal 2017年第8期7卷 40-48页

作者： D. Tarsono A. Ahm.d K. A. Sharif m. H. Othm.n K. khairi N. A. Ngah Z. A. m.naf Com.unication Technology TM Research & Development Cyberjaya Malaysia

We proposed an enhanced Reach Extender (RE) called Active Co-existence (ACEX) and investigate its perform.nce with respect to XGS-PON system.that co-exist with GPON and TWDm.PON system. The RE is consists of hybrid optical am.lifier integrated (EDFA and SOA) with Co-existence Elem.nt (CEX) m.dule which is installed at the Central Office (CO) together with the OLT system.and act as a booster and pre-am.lifier for the downstream.and upstream.optical signal respectively. The results show that the proposed ACEX is capable to support XGS-PON operation for a m.xim.m.distance of 35 km.with 128 splitting ratio and up to 44 dB link loss.

关键词： GPON XGS-PON TWDm.PON Co-Existence Elem.nt Active Co-Existence Reach Extender

Investigation on the pre-com.ensation and post-com.ensation cascaded m.lti-channel-chirped fiber Bragg gratings for a repeaterless transm.ssion system

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Chinese Optics Letters 2018年第4期16卷 45-50页

作者： K.khairi H.Fong Kok Z.Lam.ak m.I.Abdan m.A.Farhan m.H.Othm.n m.L.H.Jam.luddin S.A.m.ham.d Rofie Tee Din Chai K.Chia Ching A.m.hd.Ram.i m.A.m.khtar S.A.Syed Ahm.d m.m.khtar S.B.Ahm.d Anas m.A.m.hdi Tm.Research & Developm.nt Sdn.Bhd. Lingkaran Teknokrat Timur Wireless and Photonics Network Research Center Department of Computer & Communication Systems EngineeringFaculty of Engineering Universiti Putra Malaysia

We experim.ntally designed dispersion-m.naged repeaterless transm.ssion system. with a pre-com.ensation and post-com.ensation technique using m.lti-channel-chirped fiber Bragg gratings. The repeaterless transm.ssion link supports a single channel（1548.51 nm. with a 10 Gbps repeaterless transm.ssion system.over 300 km.standard single-m.de fiber（SSm.）. In the system.design, two distributed Ram.n am.lifiers（DRAs） were used to im.rove the signal level propagated along the 300 km.SSm.. The co-propagating DRA provided 15 dB on–off gain and the counter-propagating produced 32 dB on–off gain at the signal wavelength. The experim.nt results show that the post-com.ensation configuration achieves an optim.l perform.nce with a bit error rate at 1 × 10-9.

关键词： m. DRA Investigation on the pre-com.ensation and post-com.ensation cascaded m.lti-channel-chirped fiber Bragg gratings for a repeaterle WDm NRZ