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A Highly Secured Image Encryption Scheme using Quantum Walk and Chaos

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Computers, Materials & Continua 2022年第10期73卷 657-672页

作者： Muhammad Islam Kamran Muazzam A.Khan Suliman A.Alsuhibany Yazeed Yasin Ghadi Arshad Jameel Arif Jawad ahmad Department of Computer Science Quaid-i-Azam UniversityIslamabad45320Pakistan Department of Computer Science College of ComputerQassim UniversityBuraydah51452Saudi Arabia Department of Computer Science and Software Engineering Al Ain UniversityAbu Dhabi15551UAE Institute for Energy and Environment University of StrathclydeGlasgowG11XQUK School of Computing Edinburgh Napier UniversityEdinburghEH105DTUK

The use of multimedia data sharing has drastically increased in the past few decades due to the revolutionary improvements in communication technologies such as the 4th generation(4G)and 5th generation(5G)*** have proposed many image encryption algorithms based on the classical random walk and chaos theory for sharing an image in a secure *** of the classical random walk,this paper proposes the quantum walk to achieve high image *** random walk exhibits randomness due to the stochastic transitions between states,on the other hand,the quantum walk is more random and achieve randomness due to the superposition,and the interference of the wave *** proposed image encryption scheme is evaluated using extensive security metrics such as correlation coefficient,entropy,histogram,time complexity,number of pixels change rate and unified average intensity *** experimental results validate the proposed scheme,and it is concluded that the proposed scheme is highly secured,lightweight and computationally *** the proposed scheme,the values of the correlation coefficient,entropy,mean square error(MSE),number of pixels change rate(NPCR),unified average change intensity(UACI)and contrast are 0.0069,7.9970,40.39,99.60%,33.47 and 10.4542 respectively.

关键词： Cryptography chaotic maps logistic map quantum walk security

Content Based Automated File Organization Using Machine Learning Approaches

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Computers, Materials & Continua 2022年第10期73卷 1927-1942页

作者： Syed Ali Raza Sagheer Abbas Taher M.Ghazal Muhammad Adnan Khan Munir ahmad Hussam Al Hamadi School of Computer Science National College of Business Administration&EconomicsLahore54000Pakistan Department of Computer Science GC University LahorePakistan Center for Cyber Security Faculty of Information Science and TechnologyUniversiti Kebangsaan MalaysiaBangiSelangorMalaysia School of Information Technology Skyline University CollegeUniversity City SharjahSharjah1797UAE Riphah School of Computing&Innovation Faculty of ComputingRiphah International University Lahore CampusLahore54000Pakistan Department of Software Pattern Recognition and Machine Learning LabGachon UniversitySeongnam13120GyeonggidoKorea Cyber-Physical Systems Khalifa UniversityAbu Dhabi127788UAE

In the world of big data,it’s quite a task to organize different files based on their *** with heterogeneous data and keeping a record of every single file stored in any folder is one of the biggest problems encountered by almost every computer *** of file management related tasks will be solved if the files on any operating system are somehow categorized according to their ***,the browsing process can be performed quickly and *** research aims to design a system to automatically organize files based on their similarities in terms of *** proposed methodology is based on a novel strategy that employs the charactaristics of both supervised and unsupervised machine learning approaches for learning categories of digital files stored on any computer *** results demonstrate that the proposed architecture can effectively and efficiently address the file organization challenges using real-world user *** results suggest that the proposed system has great potential to automatically categorize almost all of the user files based on their *** proposed system is completely automated and does not require any human effort in managing the files and the task of file organization become more efficient as the number of files grows.

关键词： File organization natural language processing machine learning

Immunomodulatory and Antioxidativepotentials of adipose-derived Mesenchymalstem cells isolated from breast versusabdominal tissue: a comparative study

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Cell Regeneration 2020年第1期9卷 190-203页

作者： Nourhan abu-Shahba Marwa Mahmoud Mazen Abdel-Rasheed Yasmine Darwish ahmad AbdelKhaliq Eman Mohammed Mahmoud ElHefnawi Osama Azmy Stem Cell Research Group Centre of Excellence for Medical ResearchNational Research CentreCairoEgypt Medical Molecular Genetics Department Human Genetics and Genome Research DivisionNational Research CentreCairo 12622Egypt Department of Reproductive Health Research Medical Research Division.National Research CentreCairoEgypt Plastic and Reconstructive Surgery Unit General Surgery DepartmentKasr Al Ainy School of MedicineCairo UniversityCairoEgypt Biomedical Informatics and Chemoinformatics Group Centre of Excellence for Medical ResearchInformatics and Systems DepartmentNational Research CentreCairoEgypt

Background: Adipose-derived stem cells (ASCs) are considered ideal candidates for both research and cellular therapydue to ease of access, large yield, feasibility, and efficacy in preclinical and clinical studies. Unlike the subcutaneousabdominal fat depot, breast ASCs features are still not well recognized, limiting their possible therapeutic use. ASCswere found to exert immunomodulatory and antioxidative activities for maintaining homeostasis and functionality ofdiseased/damaged tissues. This study aims to investigate the immunomodulatory and antioxidative potentials of breastversus abdominal isolated ASCs to find out which anatomical site provides ASCs with better immunoregulatory andoxidative stress resistance ***: ASCs were isolated from abdominal and breast tissues. Gene expression analysis was conducted for a panelof immunomodulatory and antioxidative genes, as well as adipokines and proliferation genes. Flow cytometric analysisof a group of immunomodulatory surface proteins was also performed. Finally, the significantly expressed genes haveundergone protein-protein interaction and functional enrichment in silico ***: Our results revealed similar morphological and phenotypic characteristics for both breast and abdominalASCs. However, a significant elevation in the expression of two potent immunosuppressive genes, IL-10 and IDO aswell as the expression of the multifaceted immunomodulatory adipokine, visfatin, was detected in breast versusabdominal ASCs. Moreover, a significant overexpression of the antioxidative genes, GPX1, SIRT5, and STAT3 and theproliferation marker, Ki67, was also observed in breast ASCs relative to abdominal ones. In silico analysis showed thatboth of the differentially upregulated immunomodulatory and antioxidative mediators integratively involved inmultiple biological processes and pathways indicating their functional ***: Breast ASCs possess superior immunomodulatory and antioxidative c

关键词： Adipose-derived stem cells(ASCs) Breast adipose tissue Abdominal adipose tissue Immunomodulatory potential Antioxidative potential

Github开源软件（OSS）项目中多种社交关系的挖掘与分析

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Github开源软件（OSS）项目中多种社交关系的挖掘与分析

作者： Hiba abu ahmad（赫巴）哈尔滨工业大学

学位级别：硕士

近年来,互联网在全球范围内对人们的交流方式产生了巨大影响,新型的合作方式也随之出现。随着开源软件(OSS)的蓬勃发展,身处世界各地的众多开发者都通过互联网参与到了开源软件项目的协作开发中,这些项目同时也成为开发者们分享、存档... 详细信息

近年来,互联网在全球范围内对人们的交流方式产生了巨大影响,新型的合作方式也随之出现。随着开源软件(OSS)的蓬勃发展,身处世界各地的众多开发者都通过互联网参与到了开源软件项目的协作开发中,这些项目同时也成为开发者们分享、存档和交换信息的地方。GitHub作为当前最具代表性的社交编程及代码托管网站,将众多开源软件项目及其开发者都聚集到了一个虚拟的协作平台当中。在这个平台中,不仅开发者之间由于协同工作而存在社交关系,久而久之,各种项目由于共享同样的开发者或者存在互相调用等协作关系也会形成某种形式的社交网络。研究GitHub平台上软件仓库(项目)之间存在的社交关系可能帮助开发者提升协作开发的效率,这是本研究的意义所在。但是,如何从这些软件仓库中提取出有用的信息以组织项目之间的协作,是一个极富挑战性的问题,本文针对这个挑战研究了GitHub上的项目之间可能存在的社交关系。本文提出了3种模型,用于刻画GitHub中项目之间可能存在的3类社交关系(基于开发者的、基于复刻的和基于源代码的社交关系),并分别提出了抽取对应社交关系的3种算法。为了支持本文的研究工作,我们使用包含108718个项目和499485个用户数据的MSR2014数据集构建了基于开发者的和基于复刻的两种项目之间的社交网络。此外,我们基于Apache许可协议用自行开发的程序下载了GitHub上的421个开源项目的代码,解析源代码构建这些项目之间基于源代码的社交网络。之后,本文在两个层面对已构建的3种项目之间的社交网络(PSN)进行了实证分析:(1)从复杂网络的常用度量指标(如规模密度、度分布、直径等)层面分析PSN的性质;(2)从复杂网络结构的层面对3种PSN进行了对比分析。本论文的研究工作可以帮助深入理解OSS项目之间是如何协同配合的,并帮助理解OSS项目之间的相关性。同时也为如何建议开发者组织开源软件的协作工作和探究软件功能演变的因素打下了一定的基础。此外本文的研究工作对形式化开源软件项目的组织协作也有着基奠意义。

关键词： GitHub 软件仓库挖掘社交网络项目社交网络分析

Solar Energy Sustainability in Jordan

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Computational Water, Energy, and Environmental Engineering 2014年第2期3卷 41-47页

作者： ahmad Qasaimeh Mohammad Qasaimeh Zaydoun abu-Salem Mohammad Momani Chemical Engineering Department AlHuson University College Al-Balqa Applied University Salt Jordan Department of Civil Engineering Jerash University Jerash Jordan Department of Civil Engineering Philadelphia University Amman Jordan Department of Electrical Engineering Yarmouk University Irbid Jordan

Jordan is a country with highly fossil fuel deficiency and thus other energy sources are needed to be explored. Solar energy in Jordan is highly recognized as a good source of energy and an excellent substitute to the fossil fuel. The solar energy in this article is obtained via data bases and modeling techniques for the specified place coordinate and angle of inclination. The angles of sun irradiations are different throughout the year;therefore solar energy needs to be magnified by optimizing the angle of inclination of solar cells. In this research, the optimized angles throughout the year are obtained to be in the range: 10°-60°. Solar energy can serve the residential building, the findings of this research show that every 1 m2 of the solar cell may contribute to about 60%-70% of customer needs of electricity throughout the year. The application of solar energy concept in the design of building will play an important role in energy sustainability.

关键词： Solar Energy Inclination Angle Sustainable Buildings

Guest Editorial:Special issue on explainable AI empowered for indoor positioning and indoor navigation

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CAAI Transactions on Intelligence Technology 2023年第4期8卷 1101-1103页

作者： Ki‐Il Kim Aswani Kumar Cherukuri Xue Jun Li Tanveer ahmad Muhammad Rafiq Shehzad Ashraf Chaudhry Chungnam National University DaejeonRepublic of Korea Vellore Institute of Technology VelloreIndia Auckland University of Technology AucklandNew Zealand Yeungnam University Gyeongsan‐siRepublic of Korea abu Dhabi University Zayed CityUAE

The convergence of Internet of Things(IoT),vehicularad hoc network(VANET),and mobile ad hoc network relies on sensor networks to gather data from nodes or *** networks involve nodes,gateways,and anchors,operating on limited battery power,mainly used in *** applications,like healthcare,smart cities,and transportation,often need position data and face challenges in delay *** is important in ITS and VANETs,influencing autonomous vehicles,collision warning systems,and road information dissemination.A robust localisation system,often combining GPS with techniques like Dead Reckoning and Image/Video Localisation,is essential for accuracy and *** intelligence(AI)integration,particularly in machine learning,enhances indoor wireless localisation *** in wireless communication(WSN,IoT,and massive MIMO)transform dense environments into programmable entities,but pose challenges in aligning self‐learning AI with sensor tech for accuracy and budget *** seek original research on sensor localisation,fusion,protocols,and positioning algorithms,inviting contributions from industry and academia to address these evolving challenges.

关键词： anchor artificial intelligence GPS localisation mobile communication RSSI vehicle

Unusual Catalytic Process Involving OH and NH Exchange

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International Journal of Organic Chemistry 2012年第1期2卷 64-70页

作者： Ramadan M. Ramadan ahmad K. abu Al-Nasr Applied Chemistry Department Faculty of Applied Science Taibah University Almadinah Almunawrah Kingdom of Saudi Arabia

Interaction of some transition metals species with a Schiff base, 1, derived from 4,6-diacetylresorcinol and 2-amino- 5-methylphenol (1:2 mole ratio) yielded the two compounds 4-ethanimidoyl-6-[(1E)-N-(2-hydroxy-4-methylphenyl) ethanimidoyl]benzene-1,3-diol, 2, and 4,6-diacetyl-1,3-diaminobenzene, 4 via unusual catalytic process involving OH and NH exchange. All the compounds are characterized by elemental analysis, IR, mass and 1H NMR. The structure of the two compounds 2 and 4 are also determined by X-ray analysis. The crystal structure analysis revealed that the two compounds crystallized in the monoclinic space group P21/c with a Z value of 4.

关键词： Bicompartment Ligand Schiff Bases Diaminobenzene X-Ray Analysis

Disease Diagnosis System Using IoT Empowered with Fuzzy Inference System

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Computers, Materials & Continua 2022年第3期70卷 5305-5319页

作者： Talha Mahboob Alam Kamran Shaukat Adel Khelifi Wasim ahmad Khan Hafiz Muhammad Ehtisham Raza Muhammad Idrees Suhuai Luo Ibrahim A.Hameed Department of Computer Science and Information Technology Virtual University of PakistanLahorePakistan School of Information and Physical Sciences The University of NewcastleAustralia Department of Computer Science and Information Technology Abu Dhabi UniversityAbu DhabiUnited Arab Emirates School of Computer Science National College of Business Administration&EconomicsLahorePakistan Sir Syed College of Computer Science University of Engineering and TechnologyLahorePakistan Department of Data Science University of the PunjabLahorePakistan Department of ICT and Natural Sciences Norwegian University of Science and TechnologyTrondheimNorway

Disease diagnosis is a challenging task due to a large number of associated *** in the diagnosis process arises frominaccuracy in patient attributes,missing data,and limitation in the medical expert’s ability to define cause and effect relationships when there are multiple interrelated *** paper aims to demonstrate an integrated view of deploying smart disease diagnosis using the Internet of Things(IoT)empowered by the fuzzy inference system(FIS)to diagnose various *** Fuzzy Systemis one of the best systems to diagnose medical conditions because every disease diagnosis involves many uncertainties,and fuzzy logic is the best way to handle *** proposed system differentiates new cases provided symptoms of the ***,it becomes a time-sensitive task to discriminate symptomatic *** proposed system can track symptoms firmly to diagnose diseases through IoT and FIS smartly and *** coefficients have been employed to predict and compute the identified disease’s severity for each sign of *** study aims to differentiate and diagnose COVID-19,Typhoid,Malaria,and *** study used the FIS method to figure out the disease over the use of given data related to correlating with input *** tool is utilised for the implementation of *** procedure on the aforementioned given data presents that affectionate disease can derive from the *** results of our proposed method proved that FIS could be utilised for the diagnosis of other *** study may assist doctors,patients,medical practitioners,and other healthcare professionals in early diagnosis and better treat diseases.

关键词： Disease diagnosis system COVID-19 healthcare biomedical rules extraction

Development of a Risk Model for Abdominal Wound Dehiscence

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Surgical Science 2016年第10期7卷 466-474页

作者： Mujahid ahmad Mir Farzana Manzoor Balvinder Singh Imtiyaz ahmad Sofi abu Zaved Rameez Sheikh Imran Farooq Department of General Surgery Government Medical College Srinagar India

Objectives: To identify independent risk factors for abdominal wound dehiscence and develop a risk model to recognize high risk patients. Methods: The samples studied were patients who underwent midline laparotomy in the department of surgery, SMHS Hospital Srinagar from March 2009 to April 2015. For each case of abdominal wound dehiscence, three controls were selected from a group of patients who had undergone open abdominal surgery as close as possible in time. Preoperative, perioperative, and postoperative variables and in-hospital mortality were studied for all patients. Cases were compared with controls using the chi-square test or the Mann-Whitney U-test for categorical or continuous data, respectively. Subsequently, multivariate stepwise logistic regression with backwards elimination test used to identify main independent risk factors of abdominal wound dehiscence. The resulting regression coefficients for the major risk factors were used as weights for these variables to calculate a risk score for abdominal wound dehiscence. Results: 140 cases of abdominal wound dehiscence were reported and compared with 420 selected controls. All variables that were significant in univariate analyses were entered in a multivariate stepwise logistic regression to determine which variables were significant independent risk factors. Major independent risk factors were male gender, chronic pulmonary disease, corticosteroid use, smoking, obesity, anemia, jaundice, ascites, and sepsis, type of surgery, postoperative coughing, and wound infection. Based on these findings, a risk model was developed. Conclusions: The model can give an estimate of the risk of abdominal wound dehiscence for individual patients. High-risk patients may be planned preventive wound closing with reinforcements as mesh.

关键词： Abdominal Wound Dehiscence Risk Factors Risk Model Abdominal Complications