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Securing Transmitted Color Images Using Zero Watermarking and Advanced Encryption Standard on Raspberry Pi

Computer Systems Science & Engineering 2023年第11期47卷 1967-1986页

作者： Doaa Sami Khafaga Sarah M.Alhammad amal Magdi Osama ElKomy Nabil ALashin Khalid M.Hosny Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Information Technology Zagazig UniversityZagazig44519Egypt

Image authentication techniques have recently received a lot of attention for protecting images against unauthorized *** to the wide use of the Internet nowadays,the need to ensure data integrity and authentication *** techniques,such as watermarking and encryption,are used for securing images transmitted via the *** majority of watermarking systems are PC-based,but they are not very *** watermarking methods need to be developed to accommodate real-time applications and provide *** paper presents hybrid data security techniques using a zero watermarking method to provide copyright protection for the transmitted color images using multi-channel orthogonal Legendre Fourier moments of fractional orders(MFrLFMs)and the advanced encryption standard(AES)algorithm on a low-cost Raspberry *** order to increase embedding robustness,the watermark picture is scrambled using the Arnold *** watermarking is implemented on the Raspberry Pi to produce a real-time ownership verification *** sending the ownership verification key and the original image to the monitoring station,we can encrypt the transmitted data with AES for additional security and hide any viewable *** receiver next verifies the received image’s integrity to confirm its authenticity and that it has not been tampered *** assessed the suggested algorithm’s resistance to many *** suggested algorithm provides a reasonable degree of robustness while still being *** proposed method provides improved bit error rate(BER)and normalized correlation(NC)values compared to previous zero watermarking *** performance analysis is performed to demonstrate its *** a 256×256 image size,it takes only 2 s to apply the zero-watermark algorithm on the Raspberry Pi.

关键词： Zero watermarking Raspberry Pi advanced encryption standard

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Spatial and temporal spread of Citrus tristeza virus and its aphid vectors in the North western area of Morocco

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Insect Science 2016年第6期23卷 903-912页

作者： Abdesslam Elhaddad amal ElAmrani Alberto Fereres Aranzazu Moreno Faculty of Science and Technics of Tangier Abdelmalek Essaadi University Morocco- Ancienne Route de I'Aeroport Km 10 Ziaten. BP:416 Tanger Morocco Instituto de Ciencias Agrarias Consejo Superior de Investigaciones Cientificas (ICA-CSIC) CISerrano 115 dpdo. 28006 Madrid Spain

First report of Citrus tristeza virus （CTV, Closterovirus） in Morocco datesback to 1961 in collections of citrus varieties. An exhaustive survey of citrus in the north of the country in 2009 revealed that CTV was spread all over the citrus production area. We attempted to evaluate the relative contribution of different aphid species in the spread of CTV disease in a Citrus reticulata orchard at the Loukkous region during 2 years （2012 and 2013）. The overall CTV incidence estimated in the experimental site increased from 17.8% in 2012 to 31.15% in 2013. The most abundant aphid species colonising clementine trees was Aphis spiraecola and A. gossypii. Both aphid species reached their maximum peaks during the spring season. The rate of viruliferous aphids, estimated by real-time RT-PCR of single aphid, revealed that 35.4% of winged A. gossypii and 28.8% of winged A. spiraecola were viruliferous, confirming a high inoculum pressure in the area surrounding the experimental site. The aphid species Toxoptera citricida, which is able to transmit the aggressive isolates of CTV, was not found in the Loukkous region. The study of the spatial distribution of the CTV showed that in general, the disease was randomly distributed in the field. Overall, the results seem to indicate that A. spiraecola may be considered as the major aphid species contributing to CTV spread in our experimental conditions. The prevalence of mild strains in the region and the high level of aphid flight activity could explain the rapid evolution of CTV incidence in the experimental area.

关键词： aphids Aphis gossypii Aphis spiraecola citrus Citrus tristeza virus spatial distribution

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Generalized Marshall Olkin Inverse Lindley Distribution with Applications

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Computers, Materials & Continua 2020年第9期64卷 1505-1526页

作者： Rashad Bantan amal S.Hassan Mahmoud Elsehetry Deanship of Scientific Research King AbdulAziz UniversityJeddah21589Saudi Arabia Faculty of Graduate Studies for Statistical Research Cairo UniversityCairo11865Egypt Deanship of Information Technology King AbdulAziz UniversityJeddah21589Saudi Arabia

In this article,a new generalization of the inverse Lindley distribution is introduced based on Marshall-Olkin family of *** call the new distribution,the generalized Marshall-Olkin inverse Lindley distribution which offers more flexibility for modeling lifetime *** new distribution includes the inverse Lindley and the Marshall-Olkin inverse Lindley as special *** properties of the generalized Marshall-Olkin inverse Lindley distribution are discussed and investigated including,quantile function,ordinary moments,incomplete moments,moments of residual and stochastic *** likelihood method of estimation is considered under complete,Type-I censoring and Type-II *** likelihood estimators as well as approximate confidence intervals of the population parameters are discussed.A comprehensive simulation study is done to assess the performance of estimates based on their biases and mean square *** notability of the generalized Marshall-Olkin inverse Lindley model is clarified by means of two real data *** results showed the fact that the generalized Marshall-Olkin inverse Lindley model can produce better fits than power Lindley,extended Lindley,alpha power transmuted Lindley,alpha power extended exponential and Lindley distributions.

关键词： Generalized Marshal-Olkin family inverse Lindley distribution maximum likelihood estimation

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Can training extend current guidelines for cochlear implant candidacy?

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Neural Regeneration Research 2015年第5期10卷 718-720页

作者： amal Isaiah Douglas E.H.Hartley Department of Otorhinolaryngology-Head and Neck Surgery University of Maryland School of Medicine National Institute for Health Research (NIHR) Nottingham Hearing Biomedical Research Unit Otology and Hearing Group Division of Clinical NeuroscienceSchool of MedicineUniversity of Nottingham Medical Research Council (MRC) Institute of Hearing Research

Since their introduction in the 1960s, cochlear implants （CIS） have undergone several transformations, ulti- mately positioning themselves as the best-performing neural prosthesis available today. They have also been recognized as a unique tool for studying the potential protective effects of patterned electrical stimulation on the developing auditory system, with results from animal models often changing the manner in which CIs are used clinically to deliver auditory information to the brain （Moore and Shannon, 2009）. From the development of the first successful commercial single-channel device, they have evolved into multi-channel devices that are part of the national health programmes of several coun- tries. From the limited speech information provided by the early, rudimentary cochlear implants, these devices are now in a position to deliver intelligible speech infor- mation to the auditory system, largely due to advances in signal processing. Concerted efforts from several dis- ciplines, including engineering, acoustics, neurobiology and otolaryngology have ensured that the continued development of CI technology has resulted in signifi- cant benefits to individuals with profound sensorineural hearing loss.

关键词： Can training extend current guidelines for cochlear implant candidacy CI

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Prevalence of Dysmenorrhea among Female Adolescents in Dubai: A Cross-Sectional Study

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Open Journal of Obstetrics and Gynecology 2022年第8期12卷 686-705页

作者： amal Al Mulla Ghassan Lotfi Amar Hassan Khamis OBSGYN and Reproductive Medicine Mediclinic Parkveiw Hospital Dubai United Arab Emirates Clinical in Mohammed Bin Rashid University of Medicine and Health Science Dubai United Arab Emirates OBGYN Department Dubai United Arab Emirates Hamdan Bin Mohammed College of Dental Medicine Mohammed Bin Rashid University of Medicine and Health Sciences Dubai United Arab Emirates

Objective: This study aimed to investigate the prevalence of dysmenorrhea among adolescents in Dubai, and its effect on their academic and athletic performance. Methods: This was a cross-sectional study conducted in ten randomly selected private and government high schools in Dubai, United Arab Emirates. Using both the English and Arabic translated version of the Women’s Health Symptom Survey Questionnaire World, data was collected from 456 female students of grades 7 - 12, aged 11 - 19 years. Results: Dysmenorrhea was a crucial problem reported by 432 (94.7%) of the participants. Of the total number, 208 (45%) participants reported experiencing severe pain during menstruation and 152 (33.4%) students reported being absent from school during every menstrual cycle. Nonsteroidal anti-inflammatory drugs (NSAIDs) were used by 147 (32.3%) students, and majority reported no or little improvement. The percentage of students who experienced menstrual pain with micturition or defecation was 43.1% and 46.7%, respectively. None of the participants reported the use of hormonal agents. Conclusion: The unexpected high number of female adolescents who reported symptoms of primary dysmenorrhea necessitating treatment, as well as subsequent school absenteeism, calls for implementation of a screening questionnaire for early detection of persistent primary dysmenorrhea. Moving from surgical to clinical diagnosis of endometriosis can contribute greatly to improving the quality of life and reproductivity of female adolescents with severe dysmenorrhea.

关键词： Adolescence Dysmenorrhea Endometriosis Menstruation Dubai UAE

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Zubair Lomax Distribution:Properties and Estimation Based on Ranked Set Sampling

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Computers, Materials & Continua 2020年第12期65卷 2169-2187页

In this article,we offer a new adapted model with three parameters,called Zubair Lomax *** new model can be very useful in analyzing and modeling real data and provides better fits than some others new *** properties of the Zubair Lomax model are determined by moments,probability weighted moments,Renyi entropy,quantile function and stochastic ordering,among *** likelihood method is used to estimate the population parameters,owing to simple random sample and ranked set sampling *** behavior of the maximum likelihood estimates for the model parameters is studied using Monte Carlo *** measures including biases,mean square errors and relative efficiencies are used to compare *** the simulation study,we observe that the estimates based on ranked set sampling are more efficient compared to the estimates based on simple random *** importance and flexibility of Zubair Lomax are validated empirically in modeling two types of lifetime data.

关键词： Lomax distribution Zubair-g family moments maximum likelihood estimation ranked set sampling

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Competitive Multi-Verse Optimization with Deep Learning Based Sleep Stage Classification

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Computer Systems Science & Engineering 2023年第5期45卷 1249-1263页

作者： Anwer Mustafa Hilal amal Al-Rasheed Jaber SAlzahrani Majdy M.Eltahir Mesfer Al Duhayyim Nermin M.Salem Ishfaq Yaseen Abdelwahed Motwakel Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam Bin Abdulaziz UniversityAlKharjSaudi Arabia Department of Information Systems College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Industrial Engineering College of Engineering at AlqunfudahUmm Al-Qura UniversitySaudi Arabia Department of Information Systems College of Science&Art at MahayilKing Khalid UniversitySaudi Arabia Department of Computer Science College of Sciences and Humanities-AflajPrince Sattam Bin Abdulaziz UniversitySaudi Arabia Department of Electrical Engineering Faculty of Engineering and TechnologyFuture University in EgyptNew Cairo11835Egypt

Sleep plays a vital role in optimum working of the brain and the *** people suffer from sleep-oriented illnesses like apnea,insomnia,*** stage classification is a primary process in the quantitative examination of polysomnographic *** stage scoring is mainly based on experts’knowledge which is laborious and time ***,it can be essential to design automated sleep stage classification model using machine learning(ML)and deep learning(DL)*** this view,this study focuses on the design of Competitive Multi-verse Optimization with Deep Learning Based Sleep Stage Classification(CMVODL-SSC)model using Electroencephalogram(EEG)*** proposed CMVODL-SSC model intends to effectively categorize different sleep stages on EEG ***,data pre-processing is performed to convert the actual data into useful ***,a cascaded long short term memory(CLSTM)model is employed to perform classification *** last,the CMVO algorithm is utilized for optimally tuning the hyperparameters involved in the CLSTM *** order to report the enhancements of the CMVODL-SSC model,a wide range of simulations was carried out and the results ensured the better performance of the CMVODL-SSC model with average accuracy of 96.90%.

关键词： Signal processing EEG signals sleep stage classification clstm model deep learning cmvo algorithm

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Impact of Electronic Word of Mouth on Purchase Intention

Impact of Electronic Word of Mouth on Purchase Intention

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作者： amal El Hammoumi 湖南大学

学位级别：硕士

互联网为顾客提供了一种相互联系和交换有关公司、品牌和商品信息的途径。用户生成的内容或电子口碑是虚拟环境中常见的沟通形式。此外,与企业传播相比,个人来源的消费者信息被认为更可靠,因为它们被认为没有商业利益的影响。为了研究... 详细信息

互联网为顾客提供了一种相互联系和交换有关公司、品牌和商品信息的途径。用户生成的内容或电子口碑是虚拟环境中常见的沟通形式。此外,与企业传播相比,个人来源的消费者信息被认为更可靠,因为它们被认为没有商业利益的影响。为了研究行为、行为意图和态度之间的关联关系,以及信息采纳模型中未纳入的外部变量对意图和行为的影响,我们建立了基于理性行为理论(TRA)的框架。许多作者认为,TRA中未纳入的外部变量,如信息质量和信息来源的可信度,可以影响意图和行为。我们通过在线调查收集了信息,并通过SPSS多元回归分析和相关性验证了模型。研究结果显示,评论的质量对感知可信度的两个维度(专业性和吸引力)影响最大,而评论的评级对在线评论的可信度影响最大。态度和感知可信度对购买意图有显著影响。研究还揭示了某些变量之间的显著相关性。本研究旨在帮助组织了解摩洛哥消费者在选择酒店之前的行为,识别对他们的态度和购买意图影响最大的关键因素。

关键词：电子口碑酒店行业感知可信度购买意图可信度专业性吸引力态度

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A Case of Infectious Mononucleosis Induced Jaundice Complicated by Possible Drug Induced Liver Injury (DILI)

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Open Journal of Clinical Diagnostics 2023年第4期13卷 89-98页

作者： Jyoti Upadhyay amal Upadhyay Yusra Mashkoor Hamdan Iftikhar Siddiqui Department of Internal Medicine Aster Hospitals Dubai UAE Department of Gastroenterology Aster Hospitals Dubai UAE Medical Intern Dubai Health Authority (DHA) Dubai UAE

In this case, a young female presented with non-specific features such as fever, sore throat, headache and fatigue. She went on to develop epigastric pain, darkening of urine and jaundice, with no resolution of prior symptoms. Physical and Laboratory tests confirmed the primary diagnosis of infectious mononucleosis, however, prior history of treatment with multiple drugs led to a diagnosis of DILI as a complication. Appropriate treatment with I.V. antibiotics, hepatoprotective agents, steroids as well as discontinuation of all potential hepatotoxic agents showed significant improvement in patients’ symptoms and overall condition.

关键词： Infectious Mononucleosis Jaundice Drug Induced Liver Injury Lymphadenopathy

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Optimal Quad Channel Long Short-Term Memory Based Fake News Classification on English Corpus

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Computer Systems Science & Engineering 2023年第9期46卷 3303-3319页

作者： Manar Ahmed Hamza Hala J.Alshahrani Khaled Tarmissi Ayman Yafoz amal S.Mehanna Ishfaq Yaseen Amgad Atta Abdelmageed Mohamed I.Eldesouki Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam bin Abdulaziz UniversityAlKharjSaudi Arabia Department of Applied Linguistics College of LanguagesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Computer Sciences College of Computing and Information SystemUmm Al-Qura UniversitySaudi Arabia Department of Information Systems Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddahSaudi Arabia Department of Digital Media Faculty of Computers and Information TechnologyFuture University in EgyptNew Cairo11845Egypt Department of Information System College of Computer Engineering and SciencesPrince Sattam bin Abdulaziz UniversityAlKharjSaudi Arabia

The term‘corpus’refers to a huge volume of structured datasets containing machine-readable *** texts are generated in a natural communicative *** explosion of social media permitted individuals to spread data with minimal examination and filters *** to this,the old problem of fake news has *** has become an important concern due to its negative impact on the *** manage the spread of fake news,automatic recognition approaches have been investigated earlier using Artificial Intelligence(AI)and Machine Learning(ML)*** perform the medicinal text classification tasks,the ML approaches were applied,and they performed quite ***,a huge effort is required from the human side to generate the labelled training *** recent progress of the Deep Learning(DL)methods seems to be a promising solution to tackle difficult types of Natural Language Processing(NLP)tasks,especially fake news *** unlock social media data,an automatic text classifier is highly helpful in the domain of *** current research article focuses on the design of the Optimal Quad ChannelHybrid Long Short-Term Memory-based Fake News Classification(QCLSTM-FNC)*** presented QCLSTM-FNC approach aims to identify and differentiate fake news from actual *** attain this,the proposed QCLSTM-FNC approach follows two methods such as the pre-processing data method and the Glovebased word embedding ***,the QCLSTM model is utilized for *** boost the classification results of the QCLSTM model,a Quasi-Oppositional Sandpiper Optimization(QOSPO)algorithm is utilized to fine-tune the *** proposed QCLSTM-FNC approach was experimentally validated against a benchmark *** QCLSTMFNC approach successfully outperformed all other existing DL models under different measures.

关键词： English corpus fake news detection social media natural language processing artificial intelligence deep learning

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