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A Novel Krill Herd Based Random Forest Algorithm for Monitoring Patient Health

Computers, Materials & Continua 2023年第5期75卷 4553-4571页

作者： Md.Moddassir Alam Md Mottahir Alam Muhammad Moinuddin mohammad tauheed ahmad Jabir Hakami Anis ahmad Chaudhary Asif Irshad Khan tauheed Khan Mohd Department of Health Information Management and Technology University of Hafr Al-BatinSaudi Arabia Department of Electrical and Computer Engineering Faculty of EngineeringKing AbdulazizJeddah21589Saudi Arabia Center of Excellence in Intelligent Engineering Systems King Abdul Aziz UniversityJeddahSaudi Arabia College of Medicine King Khalid UniversityAbhaSaudi Arabia Department of Physics College of ScienceJazan UniversityP.O.Box.114Jazan45142Saudi Arabia Department of Biology College of ScienceImam Mohammad Ibn Saud Islamic University(IMSIU)Riyadh11623Saudi Arabia Computer Science Department Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddah21589Saudi Arabia Department of Math and Computer Science Augustana CollegeIL61201United States

Artificial Intelligence(AI)is finding increasing application in healthcare *** learning systems are utilized for monitoring patient health through the use of IoT sensor,which keep track of the physiological state by way of various health ***,early detection of any disease or derangement can aid doctors in saving patients’***,there are some challenges associated with predicting health status using the common algorithms,such as time requirements,chances of errors,and improper *** propose an Artificial Krill Herd based on the Random Forest(AKHRF)technique for monitoring patients’health and eliciting an optimal prescription based on their health *** begin with,various patient datasets were collected and trained into the system using IoT *** a result,the framework developed includes four processes:preprocessing,feature extraction,classification,and result ***,preprocessing removes errors,noise,and missing values from the dataset,whereas feature extraction extracts the relevant ***,in the classification layer,we updated the fitness function of the krill herd to classify the patient’s health status and also generate a *** found that the results fromthe proposed framework are comparable to the results from other state-of-the-art techniques in terms of sensitivity,specificity,Area under the Curve(AUC),accuracy,precision,recall,and F-measure.

关键词： Healthcare system health monitoring clinical decision support internet of things artificial intelligence machine learning diagnosis

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An Efficient EMD-Based Reversible Data Hiding Technique Using Dual Stego Images

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Computers, Materials & Continua 2023年第4期75卷 1139-1156页

作者： ahmad A.mohammad Princess Sumaya University for Technology Amman11941Jordan

Exploiting modification direction(EMD)based data hiding techniques(DHTs)provide moderate data hiding capacity and high-quality stego *** overflow problem and the cyclic nature of the extraction function essentially hinder their application in several fields in which reversibility is *** far,the few EMD reversible DHTs are complex and numerically *** paper presents a novel EMD-based reversible DHT using *** novel 2×4 modification lookup tables are introduced,replacing the 256×256 reference matrix used in similar techniques and eliminating the numerically demanding search step in similar *** the embedding step,one of the modification tables modifies a pixel in odd columns in the first cover image and keeps its image in the second cover image *** other modification table modifies a pixel in even columns in the second cover image and keeps its image in the first cover image *** embedding strategy enables direct reversibility at almost zero computational *** technique embeds one 4−ary secret digit into each pixel in the first cover image and its image in the second cover image resulting in one bit per pixel(bpp)data embedding *** use of the 4−ary numbering system enables direct and numerically efficient conversion of the binary secret message to the 4−ary and vice *** advantages of the proposed algorithm are straightforward reversibility,simplicity,numerical efficiency,direct conversion of the binary secret message to 4−ary and vice versa,and elimination of the need for the 256×256 reference matrix by replacing it with two 2×4 lookup *** results show that the embedding rate of the proposed technique is one *** achieved more than 49 dB average Peak to Signal Noise Ratio(PSNR)over all test images.

关键词： Reversible data-hiding EMD-based high capacity steganography

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Performance improvement of complementary feeders using static transfer switch system

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Journal of Zhejiang University-Science A(Applied Physics & Engineering) 2009年第2期10卷 189-200页

作者： Tahir MAHMOOD mohammad ahmad CHOUDHRY Department of Electrical Engineering University of Engineering and Technology

The performance of complementary feeders, running in parallel, can be significantly improved by installing static transfer switches （STSs） at critical locations. We develop the STS control logic, which transfers the critical load from the preferred feeder to the alternate feeder when a voltage sag or a fault occurs on the preferred feeder. A forced commutation technique is proposed and implemented to turn off the preferred feeders＇ thyristor, thus avoiding cross current to flow and minimizing the transfer time. Simulation results show that the forced commutation technique is more effective as compared to the recently proposed time delay technique for STS operation. Two different feeders, namely New Exchange, the preferred feeder, and Sector 1-10/2, the alternate feeder of Islamabad Electric Supply COmpany （IESCO）, Pakistan, have been selected for case studies. The software PSCAD/EMTDC professional package has been used for simulation.

关键词： Complementary feeder Cross current Static transfer switch (STS) Sensitive load Voltage sag PSCAD/EMTDC

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Optimization of Manganese and Magnesium Contents in As-cast Aluminum-Zinc-Indium Alloy as Sacrificial Anode

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Journal of Materials Science & Technology 2011年第9期27卷 785-792页

作者： mohammad R. Saeri ahmad Keyvani Materials Engineering Division Faculty of Engineering Shahrekord University

In this study, effects of manganese and magnesium content on the electrochemical properties of Al-Zn-ln sacrificial anode were studied in 0.5 mol/L NaCl solution （pH=5）. The aluminum base alloy with different amounts of Mn and Mg were melted at 750℃, then casted at molds at 25℃. Corrosion experiments were mounted to determine the optimal effect of Mn and Mg on the efficiencies of the aluminum alloy anodes. The corroded and unexposed sample surfaces were subjected to microstructure characterization by optical and scanning electron microscopy. AI-Zn-ln alloy doped with 0%, 0.01%, 0.05%.0.2% and 0.3% by weights of Mn and 0%, 0.5%, 1.0%, 1.5%, 2.0%, 2.5% and 3.0% by weights of Mg were prepared to determine the effect of Mn and Mg on anode efficiency in the environment. The different microstructures of the evolved AI- Zn-ln-Mg-Mn alloy were correlated with the anode efficiencies. The Al-5.0%Zn-2.0%Mg-0.15%Mn-0.02%ln gave the best anode efficiency （about 83%）. The microstructures of the corroded surface of the optimized alloy revealed decreased distribution of the pockets of localized attacks which are characteristics of pitting （or crevice） corrosion.

关键词： Corrosion Aluminum alloy Sacrificial anode Manganese Magnesium Current capacity

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An investigation on prevalent strategies for XFEM-based numerical modeling of crack growth in porous media

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Frontiers of Structural and Civil Engineering 2021年第4期15卷 914-936页

作者： mohammad REZANEZHAD Seyed ahmad LAJEVARDI Sadegh KARIMPOULI Mining Engineering Group Faculty of EngineeringUniversity of ZanjanZanjan45371-38791Iran Materials Engineering Group Faculty of EngineeringUniversity of ZanjanZanjan45371-38791Iran

Crack growth modeling has always been one of the major challenges in fracture *** all numerical methods,the extended finite element method(XFEM)has recently attracted much attention due to its ability to estimate the discontinuous deformation ***,XFEM modeling does not directly lead to reliable results,and choosing a strategy of implementation is inevitable,especially in porous *** this study,two prevalent XFEM strategies are evaluated:a)applying reduced Young’s modulus to pores and b)using different partitions to the model and enriching each part *** mention the advantages and limitations of each strategy via both analytical and experimental ***,the crack growth is modeled in a natural porous media(Fontainebleau sandstone).Our investigations proved that although both strategies can identically predict the stress distribution in the sample,the first strategy simulates only the initial crack propagation,while the second strategy could model multiple cracks *** strategies are reliable and highly accurate in calculating the stress intensity factor,but the second strategy can compute a more reliable reaction *** tests showed that the second strategy is a more accurate strategy in predicting the preferred crack growth path and determining the maximum strength of the sample.

关键词： numerical modeling extended finite element method porous media crack growth stress intensity factor

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Complete Moment Convergence for the Dependent Linear Processes with Random Coefficients

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Acta Mathematica Sinica,English Series 2019年第8期35卷 1321-1333页

作者： Seyed mohammad HOSSEINI ahmad NEZAKATI Faculty of Mathematical Sciences Shahrood University of Technology

In this paper, we investigate the complete moment convergence for dependent linear processes with random coefficients to form Xt =∑j^∞=∞ Aj∈t-j,where {∈n, n ∈ Z} is a sequence of END stochastically dominated random variables and {An,n ∈ Z} is a sequence of random varibles. As applications, the convergence rate, Marcinkiewicz-Zvgmund strong law and strong law of large numbers for this linear process are established.

关键词： Complete moment convergence ext ended negatively dependen t random variables linear processes random coefficients

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Application of Machine Learning for Online Reputation Systems

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International Journal of Automation and computing 2021年第3期18卷 492-502页

作者： ahmad Alqwadri mohammad Azzeh Fadi Almasalha Department of Computer Science Applied Science Private UniversityAmman 11931Jordan Department of Software Engineering Applied Science Private UniversityAmman 11931Jordan

Users on the Internet usually require venues to provide better purchasing *** can be provided by a reputation system that processes ratings to provide *** rating aggregation process is a main part of reputation systems to produce global opinions about the product *** methods that are frequently used do not consider consumer profiles in their calculations and cannot discover unfair ratings and trends emerging in new *** sophisticated rating aggregation methods that use a weighted average technique focus on one or a few aspects of consumers′profile *** paper proposes a new reputation system using machine learning to predict reliability of consumers from their *** particular,we construct a new consumer profile dataset by extracting a set of factors that have a great impact on consumer reliability,which serve as an input to machine learning *** predicted weight is then integrated with a weighted average method to compute product reputation *** proposed model has been evaluated over three Movie Lens benchmarking datasets,using 10-folds cross ***,the performance of the proposed model has been compared to previous published rating aggregation *** obtained results were promising which suggest that the proposed approach could be a potential solution for reputation *** results of the comparison demonstrated the accuracy of our ***,the proposed approach can be integrated with online recommendation systems to provide better purchasing recommendations and facilitate user experience on online shopping markets.

关键词： Reputation system rating aggregation machine learning consumer reliability user trust

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A review on the cracking,baking and leaching processes of rare earth element concentrates

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Journal of Rare Earths 2017年第8期35卷 739-752页

作者： Farzaneh Sadri Amir mohammad Nazari ahmad Ghahreman Department of Mining Engineering Queen's University 25 Union Street Kingston Ontario K7L 3N6 Canada

Rare earth elements（REE） are a set of seventeen chemical elements in the periodic table, which have been found in a variety classes of minerals in the world. The global demand for REE and their compounds has increased in high-tech applications over the past decades due to their chemical, catalytic, electrical, magnetic, and optical properties. After mining, comminution and ore beneficiation, hydrometallurgical and pyrometallurgical processes are carried out to recover REE compounds. The concentrate cracking is a process wherein the structure of a REE mineral is modified in order to dissolve REE in a weak acid solution. This would be accomplished through various techniques such as alkaline cracking and acid baking. The cracked concentrate is then leached to dissolve REE in a solution and subsequently recover those via neutralization, precipitation or solvent extraction methods. This paper reviewed the cracking and leaching methods applied to REE concentrates to produce an intermediate product for further REE separation.

关键词： rare earth elements alkaline cracking acid baking leaching separation

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Accurate Classification of EEG Signals Using Neural Networks Trained by Hybrid Populationphysic-based Algorithm

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International Journal of Automation and computing 2020年第1期17卷 108-122页

作者： Sajjad Afrakhteh mohammad-Reza Mosavi mohammad Khishe ahmad Ayatollahi Department of Electrical Engineering Iran University of Science and Technology

A brain-computer interface(BCI)system is one of the most effective ways that translates brain signals into output *** imagery activities can be classified based on the changes inμandβrhythms and their spatial ***-layer perceptron neural networks(MLP-NNs)are commonly used for *** such MLP-NNs has great importance in a way that has attracted many researchers to this field *** methods for training NNs,such as gradient descent and recursive methods,have some disadvantages including low accuracy,slow convergence speed and trapping in local *** this paper,in order to overcome these issues,the MLP-NN trained by a hybrid population-physics-based algorithm,the combination of particle swarm optimization and gravitational search algorithm(PSOGSA),is proposed for our classification *** show the advantages of using PSOGSA that trains NNs,this algorithm is compared with other meta-heuristic algorithms such as particle swarm optimization(PSO),gravitational search algorithm(GSA)and new versions of *** metrics that are discussed in this paper are the speed of convergence and classification accuracy *** results show that the proposed algorithm in most subjects of encephalography(EEG)dataset has very better or acceptable performance compared to others.

关键词： Brain-computer interface(BCI) classification electroencephalography(EEG) gravitational search algorithm(GSA) multi-layer perceptron neural network(MLP-NN) particle swarm optimization

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Response of masonry systems against blast loading

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Defence Technology（防务技术） 2021年第4期17卷 1326-1337页

作者： Eid Badshah Amjad Naseer mohammad Ashraf Tauseef ahmad Department of Civil Engineering UET PeshawarPakistan Electrical Engineering Department CECOS University of IT&Emerging Sciences PeshawarPakistan

In this paper eight successive experimental blast tests with an increasing TNT equivalent charge weights ranging from 0.56 kg to 17.78 kg were conducted on unreinforced,ferrocemented overlay masonry and confined masonry *** pressure-time history caused by the blast was recorded by pressure sensors installed on the test *** resulting damage pattern was observed during each *** zones in the three systems of masonry were *** distances for different damage levels in the three masonry systems were experimentally *** results provide a basis for determining the response of each masonry system against blast ***,efficiency of ferrocemented overlay masonry and confined masonry was found established in mitigation against blast loads.

关键词： Peak over pressure Pressure sensor Composition-B TNT Scaled distance Stand-off distance Charge shape Confined Unreinforced Ferrocemented

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