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Elevating Image Steganography:A Fusion of MSB Matching and LSB Substitution for Enhanced Concealment Capabilities

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Computers, Materials & Continua 2024年第5期79卷 2923-2943页

作者： Muhammad Zaman ali omer Riaz Hafiz Muhammad Hasnain Waqas Sharif Tenvir ali Gyu Sang Choi Department of Information Technology The Islamia University of BahawalpurBahawalpur63100Pakistan Department of Computer Science The Islamia University of BahawalpurBahawalpur63100Pakistan School of Computer Science and Engineering Yeungnam UniversityGyeongbuk38541Korea

In today’s rapidly evolving landscape of communication technologies,ensuring the secure delivery of sensitive data has become an essential *** overcome these difficulties,different steganography and data encryption methods have been proposed by researchers to secure *** of the proposed steganography techniques achieve higher embedding capacities without compromising visual imperceptibility using LSB *** this work,we have an approach that utilizes a combinationofMost SignificantBit(MSB)matching andLeast Significant Bit(LSB)*** proposed algorithm divides confidential messages into pairs of bits and connects them with the MSBs of individual pixels using pair matching,enabling the storage of 6 bits in one pixel by modifying a maximum of three *** proposed technique is evaluated using embedding capacity and Peak Signal-to-Noise Ratio(PSNR)score,we compared our work with the Zakariya scheme the results showed a significant increase in data concealment *** achieved results of ourwork showthat our algorithmdemonstrates an improvement in hiding capacity from11%to 22%for different data samples while maintaining a minimumPeak Signal-to-Noise Ratio(PSNR)of 37 *** findings highlight the effectiveness and trustworthiness of the proposed algorithm in securing the communication process and maintaining visual integrity.

关键词： Steganography most significant bit(MSB) least significant bit(LSB) peak signal-to-noise ratio(PSNR)

ASYMPTOTIC BEHAVIOR OF SOLUTIONS TO THE HEAT EQUATIONS WITH NONLINEAR BOUNDARY CONDITIONS

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Acta Mathematica Scientia 2004年第2期24卷 307-312页

作者：汤燕斌周笠 omer ali Department of Mathematics Sudan University of Science and Technology KhartoumP.O.Box 407Sudan

The purpose of this paper is to investigate the stability and asymptotic behavior of the time-dependent solutions to a linear parabolic equation with nonlinear boundary condition in relation to their corresponding steady state solutions. Then, the above results are extended to a semilinear parabolic equation with nonlinear boundary condition by analyzing the corresponding eigenvalue problem and using the method of upper and lower solutions.

关键词： Asymptotic behavior heat equation nonlinear boundary condition upper and lower solutions

CryptoNight Mining Algorithm with YAC Consensus for Social Media Marketing Using Blockchain

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Computers, Materials & Continua 2022年第5期71卷 3921-3936页

作者： Anwer Mustafa Hil Fahd N.Al-Wesabi Hadeel Alsolai Ola Abdelgney omer ali Nadhem Nemri Manar Ahmed Hamza Abu Sarwar Zamani Mohammed Rizwanullah Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam bin Abdulaziz UniversityAlkharjSaudi Arabia Department of Computer Science College of Science&Art at MahayilKing Khalid UniversitySaudi Arabia&Faculty of Computer and ITSana’a UniversityYemen Department of Information Systems College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversitySaudi Arabia Department of Information Technology College of ComputerQassim UniversityBuraydahSaudi Arabia Department of Information Systems College of Science&Art at MahayilKing Khalid UniversitySaudi Arabia

Social media is a platform in which user can create,share and exchange the knowledge/*** media marketing is to identify the different consumer’s demands and engages them to create marketing *** popular social media platforms are Microsoft,Snapchat,Amazon,Flipkart,Google,eBay,Instagram,Facebook,Pin interest,and *** main aim of social media marketing deals with various business partners and build good relationship with millions of customers by satisfying their *** technology is replacing old approaches in the social media marketing to new technology-based ***,this disruptive technology creates some issues like fake news,insecure,inconsistency,inaccuracy and so *** issues contribute economic instability in the society,diminishing the level of *** overcome these issues,this paper we present blockchain as disruptive technology for social media *** plays a vital role on social media marketing by providing secure to the company page in the *** properties of disruptive potential of blockchain on social media marketing is transparency,security,reliability and *** paper presents a new framework for disruptive technology in blockchain social media marketing using fusion of CryptoNight mining algorithm with YAC consensus algorithm[BCDSMM-CNYAC].This mining algorithm provides high CPU efficiency,high dimensionality of secure and detecting falsifying data attack in the social media *** the data analysis we proposed ANOVA analysis method regarding to the factors of age,time,frequency visiting times of social media *** reliability analysis of data Cronbach’s alpha tests are implemented.

关键词： Cryptonight disruptive technology smart contracts social media security YAC

Fusion-Based Deep Learning Model for Automated Forest Fire Detection

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Computers, Materials & Continua 2023年第10期77卷 1355-1371页

作者： Mesfer Al Duhayyim Majdy M.Eltahir Ola Abdelgney omer ali Amani Abdulrahman Albraikan Fahd N.Al-Wesabi Anwer Mustafa Hilal Manar Ahmed Hamza Mohammed Rizwanullah Department of Natural and Applied Sciences College of Community-AflajPrince Sattam bin Abdulaziz UniversityAl-Kharj16278Saudi Arabia Department of Computer Science College of Science&Art at MahayilKing Khalid UniversityMuhayel Aseer62529Saudi Arabia Department of Information Technology College of ComputerQassim UniversityAl-Bukairiyah52571Saudi Arabia Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam bin Abdulaziz UniversityAl-Kharj16278Saudi Arabia

Earth resource and environmental monitoring are essential areas that can be used to investigate the environmental conditions and natural resources supporting sustainable policy development,regulatory measures,and their implementation elevating the ***-scale forest fire is considered a major harmful hazard that affects climate change and life over the ***,the early identification of forest fires using automated tools is essential to avoid the spread of fire to a large ***,this paper focuses on the design of automated forest fire detection using a fusion-based deep learning(AFFD-FDL)model for environmental *** AFFDFDL technique involves the design of an entropy-based fusion model for feature *** combination of the handcrafted features using histogram of gradients(HOG)with deep features using SqueezeNet and Inception v3 ***,an optimal extreme learning machine(ELM)based classifier is used to identify the existence of fire or *** order to properly tune the parameters of the ELM model,the oppositional glowworm swarm optimization(OGSO)algorithm is employed and thereby improves the forest fire detection performance.A wide range of simulation analyses takes place on a benchmark dataset and the results are inspected under several *** experimental results highlighted the betterment of the AFFD-FDL technique over the recent state of art techniques.

关键词： Environment monitoring remote sensing forest fire detection deep learning machine learning fusion model

Early COVID-19 Symptoms Identification Using Hybrid Unsupervised Machine Learning Techniques

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Computers, Materials & Continua 2021年第10期69卷 747-766页

作者： omer ali Mohamad Khairi Ishak Muhammad Kamran Liaquat Bhatti School of Electrical and Electronic Engineering Universiti Sains Malaysia(USM)Nibong Tebal14300Malaysia Department of Electrical Engineering NFC Institute of Engineering and Technology(NFC IET)Multan60000Pakistan

The COVID-19 virus exhibits pneumonia-like symptoms,including fever,cough,and shortness of breath,and may be *** COVID-19 contraction experiments require comprehensive clinical procedures at medical *** studies help to make a correct diagnosis of COVID-19,where the disease has already spread to the organs in most *** and early diagnosis is indispensable for providing patients with the possibility of early clinical diagnosis and slowing down the disease ***,clinical investigations in patients with COVID-19 have revealed distinct patterns of breathing relative to other diseases such as flu and cold,which are worth *** supervised Machine Learning(ML)based techniques mostly investigate clinical reports such as X-Rays and Computerized Tomography(CT)for disease *** strategy relies on a larger clinical dataset and does not focus on early symptom *** this end,an innovative hybrid unsupervised ML technique is introduced to uncover the probability of COVID-19 occurrence based on the breathing patterns and commonly reported symptoms,fever,and ***,various metrics,including body temperature,breathing and cough patterns,and physical activity,were considered in this ***,a lightweight ML algorithm based on the K-Means and Isolation Forest technique was implemented on relatively small data including 40 *** proposed technique shows an outlier detection with an accuracy of 89%,on average.

关键词： COVID-19 symptoms identification machine learning isolation forest k-means

风力发电系统的Petri网建模与模型预测控制研究

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风力发电系统的Petri网建模与模型预测控制研究

作者： SEDGI omer MOHAMED ali 兰州交通大学

学位级别：硕士

风能作为一种重要的可再生能源,被广泛开发和利用。大力发展风力发电可以降低一次能源的消耗,节能减排,加快双碳目标的实现,因此研究风力发电的建模和控制是有现实意义的。通过对风能的有效利用,可以将风能转化为机械能,再转化为电能。... 详细信息

风能作为一种重要的可再生能源,被广泛开发和利用。大力发展风力发电可以降低一次能源的消耗,节能减排,加快双碳目标的实现,因此研究风力发电的建模和控制是有现实意义的。通过对风能的有效利用,可以将风能转化为机械能,再转化为电能。其中,风力发电机组是风力发电系统中的关键部件,其运行的安全性和可靠性关系到整个发电系统的稳定运行。风力发电是一个复杂的离散和连续量并存的多变量非线性系统,控制策略的选择和控制器的设计对于延长设备寿命、减少风力涡轮机的负载和对电网产生不利影响的功率波动至关重要。本文考虑实际情况,考虑风电运行过程的混杂系统,对其采用Petri网建模。设定参考值和性能约束指标,以随机风为干扰进行模拟风电的运行过程,并设计模型预测控制器实现跟踪控制。首先,以大型变速变桨风力发电系统为控制对象,考虑一个复杂的多变量非线性系统结构的组成和自然环境条件,建立其动态数学模型。其次,风力发电系统会受到许多外部干扰因素及风能的随机性和波动性大的特点,使得风力发电系统建模和控制都是一个复杂过程,本文以风速切换与变速控制技术为主要研究内容。通过分析风力发电机的物理结构、系统各部件的功能、发电原理和控制策略,利用Petri网建立了风力发电系统的Petri网模型。以实际风速为输入,作为风机输出功率的切换,通过仿真,得到了风机的功率切换和功率输出效果以及风速切换过程的混杂系统模型。最后,研究风力发电稳定性输出,对期望的预期功率输出进行跟踪控制。设计广义预测控制器,以模拟的随机风速作为扰动输入,得到预测模型。仿真结果表明,使用广义预测控制策略,系统的实际功率输出能够满足系统控制的要求。

关键词：风力发电 Petri网建模预测控制变速

A molecular survey on cystic echinococcosis in Sinnar area, Blue Nile state （Sudan）

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Chinese Medical Journal 2011年第18期124卷 2829-2833页

作者： Kamal Ibrahim Romig Thomas Kern Peter Rihab ali omer Sinnar Veterinary Research Laboratories Sinnar Sudan Department of Parasitology Institute of Zoology University of Hohenheim Stuttgart Germany Section of Infectology and Clinical Immunology Department ofInternal Medicine II University of Ulm Germany Centrar Veterinary Research Laboratories Khartoum Sudan

Background Cystic echinococcosis （CE） is a zoonosis caused by the cestodes of the Echinococcus species. Its life cycle involves dogs and other canids as definitive hosts for the intestinal tapeworm, as well as domestic and wild ungulates as intermediate hosts for the tissue-invading metacestode （larval） stage. The disease has a special impact on disadvantaged pastoralist communities and is listed now among the three top priority neglected tropical disease （NTD）. Therefore, CE is a neglected disease even in high endemicity regions. This study aimed at investigation of the prevalence of CE in different animals slaughtered for food consumption in Sinnar area, Blue Nile states in Sudan. Methods A survey of CE in livestock was conducted from April 2009 to March 2011 in Sinnar area, Blue Nile state in Sudan. Location, parasitological status and fertility conditions were determined. In addition, 120 hydatid cysts （30 from camels, 62 from cattle and 28 from sheep） were examined by polymerase chain reaction （PCR） and mitochondrial gene sequencing for the genetic allocation of Echinococcus strains or species Results The prevalence of CE was 29.7% （30/101） in camels, 2.7% （62/2310） in cattle and 0.6% （26/4378） in sheep. It was shown that infection rates increased with age in camels, cattle and sheep. In camels, 67% （20/30） of the infected animals were aged between 2-5 years whereas 58% （36/62） of the infected cattle were 〉5 years. In sheep, the prevalence rate was distributed equally between animals ranging 2-5 years and 〉5 years. Even though multiple cysts were found in some animals, the average number of cysts per animal was close to 1 in all examined species. Lungs were found to be the predilection sites for the parasite in both camels and cattle, while most of the cysts found in sheep were located in the liver. About 63.4% of cysts encountered in camels were considered as large （5-7 cm）, whereas those in cattle and sheep were medium （2-4 cm） and small （〈2 cm） respectively.

关键词： cystic echinococcosis Blue Nile state, Sudan prevalence Echinococcus

How has the COVID-19 pandemic changed treatment preferences of patients with proximal ureteral stones?

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Rate of elapsed polymerization of hydroxyethylacrylate gel induced by gamma irradiation

当代泌尿学（英文） 2024年第1期18卷 66-70页

作者： ali Kaan Yildiz Ahmet Varan Hakan Kurt omer Gokhan Doluoglu Berat Cem Ozgur Department of Urology University of Medical SciencesAnkara Training and Research HospitalAnkaraTurkey

Background:The impact of the coronavirus disease 2019(COVID-19)pandemic on patient decision making remains *** study aimed to investigate the effect of the pandemic on treatment preferences of patients with proximal ureteral stones.Materials and methods:Retrospective data regarding treatment preferences of patients diagnosed with symptomatic proximal ure-teral stones between July 2018 and November 2021 at a single center were *** from 493 patients were analyzed according to 2 groups,including patients diagnosed during the COVID-19 pandemic and those diagnosed during an equivalent period of time be-fore the pandemic.Results:Preference for conservative treatment increased during the COVID-19 pandemic(p=0.009).In patients who had previously undergone shock wave lithotripsy(SWL),the preference for SWL decreased and the preference for conservative treatment increased during the COVID-19 pandemic(p=0.042).Multiple logistic regression analysis revealed a significant correlation between a preference for conservative treatment during the pandemic and no prior spontaneous stone passage(p=0.003;odds ratio[OR],2.48;95％con-fidence interval[CI],1.45-4.23),no hydronephrosis(p=0.035;OR,3.57;95％Cl,1.34-9.49),and a visual analog scale score of 4 or less(p=0.018;OR,1.97;95％Cl,1.15-3.38).Conclusions:A significant increase in the preference for conservative treatment was observed among patients diagnosed during the pandemic,and patients with a history of SWL demonstrated a preference shift from SWL to conservative treatment.

关键词： COVID-19 pandemic Treatment preference Ureter Urolithiasis

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Nuclear Science and Techniques 2008年第4期19卷 218-222页

作者： Khalid Ahmed RABAEH Elias SAION Mohammad Ahmed ali omer Azhar Abdul RAHMAN Mohammad Yusif HUSSAIN Shahrim ISKANDAR Noria Mohammad ali Department of Physics Universiti Putra Malaysia 43400 UPM SerdangSelangorMalaysia Nuclear Agency of Malaysia

The rate of elapsed polymerization of polyhydroxyethylacrylate in gelatin has been studied to investigate the effect of co-monomers consumption at a given dose. The polymer gel dosimeters consisted of 2%～4% N,N-methyelene-bis-acrylamide cross-linker,2%～4% 2-hydroxyethylacrylate monomer and gelatin at 3% and 5%. The dosimeters were irradiated by using 60Co teletherapy γ-ray source up to 20 Gy at a constant dose rate. The relaxation rate of water proton in the dosimeters at different doses and co-monomer concentrations were measured using a nuclear magnetic resonance spectroscopy. The rate of elapsed polymerization decreases with increasing the dose and the initial concentration of co-monomers. The rate of consumption of co-monomers increases with an increase of the polymerization and the gelatin content of the polymer gel.

关键词：高聚物缓和速度剂量器射线