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A block-based secure and robust watermarking scheme for color images based on multi-resolution decomposition and de-correlation

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Frontiers of Information Technology & Electronic Engineering 2019年第7期20卷 946-964页

作者： Muhammad IMRANz Bruce AHARVEY Muhammad ATIF adnan ali memon Department of Electrical&Computer Engineering Florida State UniversityTallahassee32306USA Faculty of Information and Communication Technology Balochistan University of Information TechnologyEngineering and Management SciencesQuetta87100Pakistan

This paper presents a block-based secure and robust watermarking technique for color images based on multi-resolution decomposition and *** principal objective of the presented scheme is to simultaneously meet all the four requirements(robustness,security,imperceptibility,and capacity)of a good watermarking *** contribution of this study is to basically achieve the four contradictory requirements that a good watermarking scheme must *** do so,different approaches are combined in a way that the four requirements are *** instance,to obtain imperceptibility,the three color channels(red,green,and blue)are de-correlated using principal component analysis,and the first principal component(de-correlated red channel)is chosen for watermark ***,to achieve robustness,the de-correlated channel is decomposed using a discrete wavelet transform(DWT),and the approximate band(the other three bands are kept intact to preserve the edge information)is further decomposed into distinct *** random blocks are chosen based on a random generated *** random selected blocks are further broken down into singular values and *** on the mutual dependency on singular values and vectors’matrices,the values are modified depending on the watermarking bits,and their locations are saved and used as another key,required when the watermark is to be ***,two-level authentication levels ensure the security,and using both singular values and vectors increases the capacity of the presented ***,the involvement of both left and right singular vectors along with singular values in the watermarking embedding process strengthens the robustness of the proposed ***,to compare the presented scheme with the state-of-the-art schemes in terms of imperceptibility(peak signal-to-noise ratio and structural similarity index),security(with numerous fake keys),robustness(normalized correlation and bit error rate)

关键词： Copyright protection Data hiding Multi-resolution decomposition De-correlation Security

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Benchmarking YOLOv5 models for improved human detection in search and rescue missions

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Journal of Electronic Science and Technology 2024年第1期22卷 70-80页

作者： Namat Bachir Qurban ali memon Electrical Engineering Department College of EngineeringUnited Arab Emirates UniversityAl Ain15551United Arab Emirates

Drone or unmanned aerial vehicle(UAV)technology has undergone significant *** technology allows UAV to carry out a wide range of tasks with an increasing level of sophistication,since drones can cover a large area with ***,the increasing number of computer vision applications utilizing deep learning provides a unique insight into such *** primary target in UAV-based detection applications is humans,yet aerial recordings are not included in the massive datasets used to train object detectors,which makes it necessary to gather the model data from such *** only look once(YOLO)version 4,RetinaNet,faster region-based convolutional neural network(R-CNN),and cascade R-CNN are several well-known detectors that have been studied in the past using a variety of datasets to replicate rescue ***,we used the search and rescue(SAR)dataset to train the you only look once version 5(YOLOv5)algorithm to validate its speed,accuracy,and low false detection *** comparison to YOLOv4 and R-CNN,the highest mean average accuracy of 96.9%is obtained by *** comparison,experimental findings utilizing the SAR and the human rescue imaging database on land(HERIDAL)datasets are *** results show that the YOLOv5-based approach is the most successful human detection model for SAR missions.

关键词： Unmanned aerial vehicle(UAV) Search and rescue(SAR) You look only once(YOLO)model You only look once version 5 (YOLOv5)

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Smart Energy Management System Using Machine Learning

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Computers, Materials & Continua 2024年第1期78卷 959-973页

作者： ali Sheraz Akram Sagheer Abbas Muhammad adnan Khan Atifa Athar Taher M.Ghazal Hussam Al Hamadi School of Computer Science National College of Business Administration&EconomicsLahore54000Pakistan Riphah School of Computing&Innovation Faculty of ComputingRiphah International UniversityLahore CampusLahore54000Pakistan Pattern Recognition and Machine Learning Lab Department of SoftwareGachon UniversitySeongnamGyeonggido13120Korea Department of Computer Science COMSATS University IslamabadLahore CampusLahore54000Pakistan School of Information Technology Skyline University CollegeSharjah1797United Arab Emirates Network and Communication Technology Lab Center for Cyber SecurityFaculty of Information Science and TechnologyUniversiti Kebangsaan MalaysiaBangiSelangor43600Malaysia College of Engineering and IT University of DubaiDubaiUnited Arab Emirates

Energy management is an inspiring domain in developing of renewable energy ***,the growth of decentralized energy production is revealing an increased complexity for power grid managers,inferring more quality and reliability to regulate electricity flows and less imbalance between electricity production and *** major objective of an energy management system is to achieve optimum energy procurement and utilization throughout the organization,minimize energy costs without affecting production,and minimize environmental *** energy management is an essential and complex subject because of the excessive consumption in residential buildings,which necessitates energy optimization and increased user *** address the issue of energy management,many researchers have developed various frameworks;while the objective of each framework was to sustain a balance between user comfort and energy consumption,this problem hasn’t been fully solved because of how difficult it is to solve *** inclusive and Intelligent Energy Management System(IEMS)aims to provide overall energy efficiency regarding increased power generation,increase flexibility,increase renewable generation systems,improve energy consumption,reduce carbon dioxide emissions,improve stability,and reduce energy *** Learning(ML)is an emerging approach that may be beneficial to predict energy efficiency in a better way with the assistance of the Internet of Energy(IoE)*** IoE network is playing a vital role in the energy sector for collecting effective data and usage,resulting in smart resource *** this research work,an IEMS is proposed for Smart Cities(SC)using the ML technique to better resolve the energy management *** proposed system minimized the energy consumption with its intelligent nature and provided better outcomes than the previous approaches in terms of 92.11% accuracy,and 7.89% miss-rate.

关键词： Intelligent energy management system smart cities machine learning

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A novel fractional case study of nonlinear dynamics via analytical approach

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Applied Mathematics(A Journal of Chinese Universities) 2024年第2期39卷 276-290页

作者： Hassan Khan adnan Khan Rasool Shah Dumitru Baleanu Department of Mathematics Abdul Wali khan UniversityMardan 23200Pakistan Department of Mathematics Faculty of Arts and SciencesCankaya UniversityAnkara 06530Turkey Institute of Space Sciences Magurele-BucharestRomania

The present work describes the fractional view analysis of Newell-Whitehead-Segal equations,using an innovative *** work is carried with the help of the Caputo operator of fractional *** analytical solutions of some numerical examples are presented to confirm the reliability of the proposed *** derived results are very consistent with the actual solutions to the problems.A graphical representation has been done for the solution of the problems at various fractional-order ***,the solution in series form has the desired rate of convergence and provides the closed-form *** is noted that the procedure can be modified in other directions for fractional order problems.

关键词： Homotopy Perturbation method Shehu transform Newell-Whitehead-Segel Equation Caputo operator

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Research on Iron Loss of Switched Reluctance Starter/Generator for Energy Storage

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Protection and Control of Modern Power Systems 2024年第4期9卷 147-159页

作者： Hao Chen Xing Wang Yongqiang Liu Vuong Dang Quoc Wenju Yan Muhammad Saqib Antonino Musolino Guanjun Wang Yong Qi ali Asghar memon Alexandros G.Paspatis the Shenzhen Research Institute China University of Mining and TechnologyShenzhen 515100China the School of Electrical Engineering China University of Mining and TechnologyXuzhou 221116China Xinjiang Institute of Engineering Urumqi 830000China the International Joint Research Center of Central and Eastern European Countries on New Energy EV Technology and Equipment Xuzhou 221008China the International Cooperation Joint Laboratory of New Energy Power Generation and EVs of Jiangsu Province Colleges and Universities Xuzhou 221008China the Xuzhou Key Laboratory of New Energy EV Technology and Equipment Xuzhou 221008China the the School of Electrical Engineering China University of Mining and Tech-nologyXuzhou 221116China the Laboratory of High Performance Electric Machines(HiPems) Hanoi VN 10000Viet Nam the University of Engineering and Technology Lahore 54890Pakistan the Department of Energy Pisa Uni-versity of PisaPisa IT 56126Italy the Wuxi Inspection and Testing Certification Research Institute Wuxi 214000China the Nanjing University of Science&Tech-nology Nanjing 210094China the Mehran University of Engi-neering&Technology Jamshoro PK 76062Sindh the National Technical University of Athens Zografou GR 15780Attica

In order to better realize the energy recovery and storage of hybrid EVs(HEVs),a switched reluctance starter/generator(SRS/G)with both starting and power generation functions is investigated in this ***,the iron loss of SRS/G is mainly studied to reduce the motor loss and improve the power generation ***,the energy storage of hybrid EVs can be effectively ***,a magnetic flux density(MFD)waveforms solution method is proposed to solve the difficulty in calculating the iron loss of the SRS/*** with the commonly used finite element method,the proposed solution method has the advantages of simple,fast and small computational ***,considering the different operating conditions of SRS/G,the iron loss models for both the time-domain and frequency-domain are *** addition,the calculation formula of the variable coefficient Bertotti three-term loss separation is *** the hysteresis loss coefficient,the Steinmetz coefficient and the stray loss coefficient are respectively fitted by the Fourier fitting *** method is also applied to solve the iron loss of SRS/***,through an experimental verification,it is indicated that the development of proposed method has high accuracy.

关键词： Switched reluctance starter/generator energy storage iron loss finite element method magnetic flux density(MFD)

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M_(4)X_(3) MXenes:Application in Energy Storage Devices

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Nano-Micro Letters 2024年第10期16卷 522-542页

作者： Iftikhar Hussain Waqas Ul Arifeen Shahid ali Khan Sikandar Aftab Muhammad Sufyan Javed Sajjad Hussain Muhammad Ahmad Xi Chen Jiyun Zhao PRosaiah Khaled Fahmi Fawy adnan Younis Sumanta Sahoo Kaili Zhang Department of Mechanical Engineering City University of Hong Kong83 Tat Chee AvenueKowloon TongHong KongPeople's Republic of China School of Mechanical Engineering Yeungnam UniversityDaehak-roGyeongsan-siGyeongbuk-do 38541South Korea Department of Semiconductor Systems Engineering and Clean Energy Sejong UniversitySeoul 05006Republic of Korea School of Physical Science and Technology Lanzhou UniversityLanzhou 730000People's Republic of China Department of Nanotechnology and Advanced Materials Engineering Sejong UniversitySeoul 05006Republic of Korea Department of Physics Saveetha School of EngineeringSaveetha Institute of Medical and Technical Sciences(SIMATS)ThandalamChennai 602105India Department of Chemistry Faculty of ScienceKing Khalid UniversityP.O.Box 900461413 AbhaSaudi Arabia Department of Physics College of ScienceUnited Arab Emirates UniversityP.O.Box 15551Al-AinUnited Arab Emirates School of Chemical Engineering Yeungnam UniversityGyeongsanGyeongbuk 38541South Korea

MXene has garnered widespread recognition in the scientific com-munity due to its remarkable properties,including excellent thermal stability,high conductivity,good hydrophilicity and dispersibility,easy processability,tunable surface properties,and admirable *** have been categorized into different families based on the number of M and X layers in M_(n+1)X_(n),such as M_(2)X,M_(3)X_(2),M_(4)X_(3),and,recently,M_(5)X_(4).Among these families,M_(2)X and M_(3)X_(2),par-ticularly Ti_(3)C_(2),have been greatly explored while limited studies have been given to M_(5)X_(4)MXene ***,studies on the M_(4)X_(3)MXene family have developed recently,hence,demanding a compilation of evaluated ***,this review provides a systematic overview of the latest advancements in M_(4)X_(3)MXenes,focusing on their properties and applications in energy storage *** objective of this review is to provide guidance to researchers on fostering M_(4)X_(3)MXene-based nanomaterials,not only for energy storage devices but also for broader applications.

关键词： MXene M_(4)X_(3)MXenes 2D materials Energy storage Properties

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Genuine entanglement under squeezed generalized amplitude damping channels with memory

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Chinese Physics B 2024年第2期33卷 158-163页

作者： Mazhar ali Department of Electrical Engineering Faculty of EngineeringIslamic University MadinahMadinah 107Saudi Arabia

We study genuine entanglement among three qubits undergoing a noisy process that includes dissipation, squeezing,and decoherence. We obtain a general solution and analyze the asymptotic quantum states. We find that most of these asymptotic states can be genuinely entangled depending upon the parameters of the channel, memory parameter, and the parameters of the initial states. We study Greenberger–Horne–Zeilinger(GHZ) states and W states, mixed with white noise,and determine the conditions for them to be genuinely entangled at infinity. We find that for these mixtures, it is possible to start with a bi-separable state(with a specific mixture of white noise) and end with genuine entangled states. However, the memory parameter μ must be very high. We find that in contrast to the two-qubit case, none of the three-qubit asymptotic states for n → ∞ are genuinely entangled.

关键词： genuine entanglement squeezed thermal baths multipartite states

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Two MADS-box proteins,AGL9 and AGL15,recruit the FIS-PRC2 complex to trigger the phase transition from endosperm proliferation to embryo development in Arabidopsis

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Molecular Plant 2024年第7期17卷 1110-1128页

作者： Shen Zhang Devasantosh Mohanty adnan Muzaffar Min Ni Department of Plant and Microbial Biology University of Minnesota at Twin CitiesSaint PaulMinnesota MN 55108United States of AmericaUSA

Spatiotemporal regulation of gene expression by polycomb repressive complex 2(PRc2)is critical for animal and plant *** Arabidopsis fertilization independent seed(FIS)-PRC2 complex functions specifically during plant reproduction from gametogenesis to seed *** a double fertilization event,triploid endosperm proliferates early,followed by the growth of a diploid embryo,which replaces the endosperm in Arabidopsis and many *** genes critical for endosperm proliferation such as IKkU2 and MINI3 are activated after *** we report that two MADS-box AGAMOUS-LIKE(AGL)proteins associate with the key endosperm proliferation loci and recruit the FIS-PRC2 repressive complex at 4-5 days after pollination(DAP).Interestingly,AGL9 and AGL15 only accumulate toward the end of endosperm proliferation at 4-5 DAP and promote the deposition of H3K27me3 marks at key endosperm proliferation *** of AGL9 and AGL15 or overexpression of AGL9 or AGL15 significantly influence endosperm proliferation and ***-wide analysis with cleavage Under Targets and tagmentation(CUT&Tag)sequencing and RNA sequencing revealed the landscape of endosperm H3K27me3 marks and gene expression profiles in Col-0 and agl9 ***&Tag qPCR also demonstrated the occupancy of the two MADS-box proteins and FIS-PRC2 on a few representative target *** studies suggest that MADS-box proteins could potentially recruit PRc2 to regulate many other developmental processes in plants or even in fungi and animals.

关键词： AGL9 AGL15 embryo endosperm IKU2 MEDEA MINI3

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Intrusion Detection System for Smart Industrial Environments with Ensemble Feature Selection and Deep Convolutional Neural Networks

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Intelligent Automation & Soft Computing 2024年第3期39卷 545-566页

作者： Asad Raza Shahzad memon Muhammad ali Nizamani Mahmood Hussain Shah Dr.AHS Bukhari Postgraduate Centre of Information and Communication Technology Faculty of Engineering and TechnologyUniversity of SindhJamshoro76060Pakistan Newcastle Business School Northumbria UniversityNewcastleNE1UK

Smart Industrial environments use the Industrial Internet of Things(IIoT)for their routine operations and transform their industrial operations with intelligent and driven ***,IIoT devices are vulnerable to cyber threats and exploits due to their connectivity with the *** signature-based IDS are effective in detecting known attacks,but they are unable to detect unknown emerging ***,there is the need for an IDS which can learn from data and detect new *** Machine Learning(ML)and individual Deep Learning(DL)based IDS have been developed,and these individual models achieved low accuracy;however,their performance can be improved with the ensemble stacking *** this paper,we have proposed a Deep Stacked Neural Network(DSNN)based IDS,which consists of two stacked Convolutional Neural Network(CNN)models as base learners and Extreme Gradient Boosting(XGB)as the meta *** proposed DSNN model was trained and evaluated with the next-generation dataset,TON_*** pre-processing techniques were applied to prepare a dataset for the model,including ensemble feature selection and the SMOTE ***,precision,recall,F1-score,and false positive rates were used to evaluate the performance of the proposed ensemble *** experimental results showed that the accuracy for binary classification is 99.61%,which is better than in the baseline individual DL and ML *** addition,the model proposed for IDS has been compared with similar *** proposed DSNN achieved better performance metrics than the other *** proposed DSNN model will be used to develop enhanced IDS for threat mitigation in smart industrial environments.

关键词： Industrial internet of things smart industrial environment cyber-attacks convolutional neural network ensemble learning

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Heat transfer analysis in particle-laden flows using the immersed boundary method

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Particuology 2024年第7期90卷 394-403页

作者： ali Abbas Zaidi Department of Mechanical Engineering University of Manitoba75A Chancellors CircleWinnipegR3T 5V6Canada

This paper investigates an efficient immersed boundary method(IBM)for multiple-core CPU machines with local grid refinement for the calculation of heat transfer between fluids and finite-sized *** fluid momentum equations are solved by using the fractional step method,while the energy equation is solved by employing the second-order Adams-Bashforth *** efficient load balancing between the CPU cores,the coupling between particles and fluid is obtained by applying the body force in the fluid equations,which depends on the solid volume fraction of particles contained in each grid cell,and then by linearly interpolating the particle temperature and velocity on the fluid grid cell(in place of the delta function commonly used in literature).Several test cases from the literature are studied,and good agreement is observed between the simulation results and the ***,a scaling study on multiple core machines is performed,demonstrating the proposed IBM's capabilities for a significant reduction in processing time.

关键词： Heat transfer Immersed boundary method Particle resolved direct numerical simulations Fluid solid interactions

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