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Frontiers of Architectural Research 2024年第1期13卷 127-143页

作者： mohd Hasfarisham abd Halim Naizatul Akma mohd Mokhtar Nor Khairunnisa Talib Shyeh Sahibul Karamah Masnan Ahmad Fadly Jusoh Mokhtar Saidin Kedah Malaysia Universiti Utara Malaysia KedahMalaysia Universiti Sains Malaysia PenangMalaysia

Archaeological research at the Sungai Batu Archaeological Complex(SBAC),which has been carried out until 2023,aims to complete the chronological data and urbanization process of the ancient *** study will especially prove that the ongoing urbanization process is aimed at developing the iron smelting industry and trade in ancient Kedah,especially in *** is because archaeological research at SBAC has proven that with the existence of the ancient Kedah iron smelting workshop at SBAC,river jetties,port management,rituals,and Buddhist monuments began to be erected,all of which can be determined by chronometric *** results of the chronometric dating have proven that the ancient Kedah Kingdom existed since the 6th century BC and was oriented towards the trade of iron resources,which allowed the use of the area to grow *** process of urbanization and land use clearly conforms to Lynch’s principle,which emphasizes the principles of 1)paths,2)edges,3)districts,4)nodes,and 5)landmarks in the development process of land use and urbanization in the complex.

关键词： Chronometric dating Urbanization Land use Monument Iron smelting site

Novel energy recovery from an integrated municipal solid waste and leachate treatment system

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Waste Disposal and Sustainable Energy 2024年第1期6卷 53-61页

作者： Siti Salwa Khamis Hadi Purwanto Hamzah mohd Salleh Alya Naili Rozhan Mohamed abdur rahman Mahammadsalman Warimani Noor Alam Faculty of Engineering International Islamic University MalaysiaJalan Gombak53100Kuala LumpurMalaysia Department of Engineering Management Universitas Internasional Semen IndonesiaGresikIndonesia Halalan Thayyiban Research Centre Sultan Sharif Ali Islamic UniversityBandar Seri BegawanBrunei Department of Mechanical Engineering P.A.College of EngineeringMangaloreKarnataka574153India Department of Mechanical Engineering Malaysia-Japan International Institute of TechnologyUniversity of Technology Malaysia54100Kuala LumpurMalaysia

Population growth,waste generation,and massive waste mismanagement have led to environmental *** of municipal solid waste(MSW)requires an efficient and sustainable integrated *** integrated thermal processing of MSW is one of the best waste management *** this study,energy analysis of MSW is carried out based on the material and energy balance of 2000 kg wet MSW,which contains 50%*** the leachate is removed,the dry MSW is sent for carbon content enhancement in carbonization to produce MSW-based ***,the combustion of MSW-based char provided high heat and syngas to be used in a hydrothermal process for MSW leachate *** result shows that the char fuel of MSW produces a sufficient amount of energy,13501.29 MJ(84.55%),in the form of synthetic gas by-product,which has a big potential as an energy *** novelty of the proposed integrated thermal system is to produce 84.55%synthetic gas by-product,which is used for electricity production,cooking,food,and heat energy for industrial *** proposed applications of this paper offer insightful information for policymaking regarding novel MSW techniques,which are economical,energy-efficient,and environmentally ***,it increases the effectiveness of MSW utilization.

关键词： Energy Carbonization Hydrothermal Municipal solid waste Integrated system

A concise review on surface and structural modification of porous zeolite scaffold for enhanced hydrogen storage

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Chinese Journal of Chemical Engineering 2024年第6期70卷 33-53页

作者： B.A.abdulkadir R.S.R.mohd Zaki A.T.abd Wahab S.N.Miskan Anh-Tam Nguyen Dai-Viet N.Vo H.D.Setiabudi Centre for Research in Advanced Fluid&Processes Universiti Malaysia Pahang Al-Sultan AbdullahLebuh Persiaran Tun Khalil YaakobGambangPahang 26300Malaysia Faculty of Chemical&Process Engineering Technology Universiti Malaysia Pahang Al-Sultan AbdullahLebuh Persiaran Tun Khalil YaakobGambangPahang 26300Malaysia Center of Excellence for Green Energy and Environmental Nanomaterials(CE@GrEEN) Nguyen Tat Thanh University300A Nguyen Tat ThanhDistrict 4Ho Chi Minh City 755414Viet Nam

Investigating zeolites as hydrogen storage scaffolds is imperative due to their porous nature and favorable physicochemical ***,the storage capacity of the unmodified zeolites has been rather unsatisfactory(0.224%-1.082%(mass))compared to its modified ***,the contemporary focus on enhancing hydrogen storage capacities has led to significant attention towards the utilization of modified zeolites,with studies exploring surface modifications through physical and chemical treatments,as well as the integration of various active *** enhanced hydrogen storage properties of zeolites are attributed to the presence of aluminosilicates from alkaline and alkaline-earth metals,resulting in increased storage capacity through interactions with the charge density of these ***,there is a great demand to critically review their role such as well-defined topology,pore structure,good thermal stability,and tunable hydrophilicity in enhanced hydrogen *** article aimed to critically review the recent research findings based on modified zeolite performance for enhanced hydrogen *** of the factors affecting the hydrogen storage capacities of zeolites that can affect the rate of reaction and the stability of the adsorbent,like pressure,structure,and morphology were studied,and ***,future perspectives,recommendations,and directions for modified zeolites were discussed.

关键词： Zeolites Hydrogen storage Surface modification Adsorption Active metal

Dynamics of Caputo fractional-order SIRV model:The effects of imperfect vaccination on disease transmission

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International Journal of Biomathematics 2024年第4期17卷 267-285页

作者： Auwal abdullahi mohd Hafiz mohd Department of Mathematics and Computer Science Federal University Kashere Nigeria School of Mathematical Sciences Universiti Sains Malaysia 11800 USMPulau PinangMalaysia

Though vaccination protects individuals against many infectious diseases,such protection does not always last forever since a few vaccinated individuals could lose their lifelong immunity and eventually become *** study,therefore,determines the effects of imperfect vaccination and memory index on the spread of diseases through the Caputo fractional-order SIRV(Susceptible-Infected-Recovered-Vaccinated)epidemic *** properties of the new model including the conditions for the existence of a unique solution determined through the fixed-point theory and the conditions for the existence of a positive solution of the model obtained via the Mittag-Leffler function along with the Laplace transformation-are thoroughly ***,our simulation results report that an increase in the imperfect vaccination force increases the population of infected *** the memory effect,the higher“memory”the epidemic system has of past states(which corresponds to decreasing values of fractionalorder parameter),the greater the peaks and magnitudes of infection shaping the epidemiological system dynamics.

关键词： Vaccination model fractional-order model Caputo fractional-order derivative Mittag-Leffer function fixed-point theory

A Low Complexity ML-Based Methods for Malware Classification

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Computers, Materials & Continua 2024年第9期80卷 4833-4857页

作者： Mahmoud E.Farfoura Ahmad Alkhatib Deema Mohammed Alsekait Mohammad Alshinwan Sahar A.El-rahman Didi Rosiyadi Diaa Salama abd Elminaam Cybersecurity Department Al-Zaytoonah University of JordanAmman11733Jordan Department of Computer Science and Information Technology Applied CollegePrincess Nourah Bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Faculty of Information Technology Applied Science Private UniversityAmman11931Jordan Computer Systems Program-Electrical Engineering Department Faculty of Engineering-ShoubraBenha UniversityCairo11629Egypt Research Center for Artificial Intelligence and Cybersecurity Electronics and Informatics OrganizationNational Research and Innovation Agency(BRIN)KST Samaun SamadikunBandung40135Republic of Indonesia Jadara Research Center Jadara UniversityIrbid21110Jordan MEU Research Unit Middle East UniversityAmman11831Jordan

The article describes a new method for malware classification,based on a Machine Learning(ML)model architecture specifically designed for malware detection,enabling real-time and accurate malware *** an innovative feature dimensionality reduction technique called the Interpolation-based Feature Dimensionality Reduction Technique(IFDRT),the authors have significantly reduced the feature space while retaining critical information necessary for malware *** technique optimizes the model’s performance and reduces computational *** proposed method is demonstrated by applying it to the BODMAS malware dataset,which contains 57,293 malware samples and 77,142 benign samples,each with a 2381-feature *** the IFDRT method,the dataset is transformed,reducing the number of features while maintaining essential data for accurate *** evaluation results show outstanding performance,with an F1 score of 0.984 and a high accuracy of 98.5%using only two reduced *** demonstrates the method’s ability to classify malware samples accurately while minimizing processing *** method allows for improving computational efficiency by reducing the feature space,which decreases the memory and time requirements for training and *** new method’s effectiveness is confirmed by the calculations,which indicate significant improvements in malware classification accuracy and *** research results enhance existing malware detection techniques and can be applied in various cybersecurity applications,including real-timemalware detection on resource-constrained *** and scientific contribution lie in the development of the IFDRT method,which provides a robust and efficient solution for feature reduction in ML-based malware classification,paving the way for more effective and scalable cybersecurity measures.

关键词： Malware detection ML-based models dimensionality reduction feature engineering

Pseudo-Differential Operators of Homogeneous Symbol Class Associated with the Weinstein Transform

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Acta Mathematica Sinica,English Series 2024年第6期40卷 1533-1562页

作者： Santosh Kumar UPADHYAY mohd SARTAJ Department of Mathematical Sciences Indian Institute of Technology(BHU)VaranasiIndia

In this paper,pseudo-differential operators with homogeneous symbol classes associated with the Weinstein transform are *** boundedness of pseudo-differential operators and commutator between two pseudo-differential o... 详细信息

关键词： Pseudo-Differential Operators Homogeneous Symbol Class Weinstein Operator Sobolev space Weinstein transform

Exploring Nutritional Compositions,Volatile Compounds,Health Benefits,Emerging Processing Technologies,and Potential Food Products of Glutinous Rice:A Review

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Rice science 2024年第3期31卷 251-268页

作者： Maimunah mohd ALI Norhashila HASHIM Department of Food Sciences Faculty of Science and TechnologyUniversiti Kebangsaan MalaysiaBangi 43600SelangorMalaysia Department of Biological and Agricultural Engineering Faculty of EngineeringUniversiti Putra MalaysiaSerdang 43400SelangorMalaysia SMART Farming Technology Research Centre Faculty of EngineeringUniversiti Putra MalaysiaUPM Serdang 43400SelangorMalaysia Innovation Center for Confectionary Technology(MANIS) Faculty of Science and TechnologyUniversiti Kebangsaan MalaysiaUKM Bangi 43600Selangor Darul EhsanMalaysia

Glutinous rice(Oryza sativa ***)stands out as one of the most popular rice varieties globally,amidst thousands of rice *** increasing popularity is attributed to its rich nutritional compositions and health *** review aims to summarize the nutritional compositions,volatile compounds,and health benefits of glutinous ***,in-depth studies are necessary to explore the utilization of glutinous rice in enhancing processing technologies and developing new food *** rice has been shown to possess numerous health benefits,including antioxidant activity,bioactive compounds,anti-cancer properties,anti-inflammatory effects,anti-diabetic potential,and cholesterol-lowering *** its nutritional compositions,the major volatile compounds identified in glutinous rice could serve as a functional food for human *** processing technologies related to glutinous rice are elaborated to improve the latest developments for incorporating them into various food products.

关键词： glutinous rice health benefit volatile compound nutritional composition processing technology

Bayesian Optimized LightGBM model for predicting the fundamental vibrational period of masonry infilled RC frames

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Frontiers of Structural and Civil Engineering 2024年第7期18卷 1084-1102页

作者： Taimur rahman Pengfei ZHENG Shamima SULTANA Department of Civil Engineering World University of BangladeshDhaka 1230Bangladesh School of Civil Engineering Zhengzhou UniversityZhengzhou 450001China Department of Computer Science&Engineering University of Asia PacificDhaka 1205Bangladesh

The precise prediction of the fundamental vibrational period for reinforced concrete(RC)buildings with infilled walls is essential for structural design,especially earthquake-resistant *** learning models from previous studies,while boasting commendable accuracy in predicting the fundamental period,exhibit vulnerabilities due to lengthy training times and inherent dependence on pre-trained models,especially when engaging with continually evolving data *** predicament emphasizes the necessity for a model that adeptly balances predictive accuracy with robust adaptability and swift data *** latter should include consistent re-training ability as demanded by realtime,continuously updated data *** research implements an optimized Light Gradient Boosting Machine(LightGBM)model,highlighting its augmented predictive capabilities,realized through the astute use of Bayesian Optimization for hyperparameter tuning on the FP4026 research data set,and illuminating its adaptability and efficiency in predictive *** results show that the R^(2) score of LightGBM model is 0.9995 and RMSE is 0.0178,while training speed is 23.2 times faster than that offered by XGBoost and 45.5 times faster than for Gradient ***,this study introduces a practical application through a streamlit-powered,web-based dashboard,enabling engineers to effortlessly utilize and augment the model,contributing data and ensuring precise fundamental period predictions,effectively bridging scholarly research and practical applications.

关键词： masonry-infilled RC frame fundamental period LightGBM FP4026 research dataset machine learning data-driven approach Bayesian Optimization

An Improved Hybrid Indoor Positioning Algorithm via QPSO and MLP Signal Weighting

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Computers, Materials & Continua 2023年第1期74卷 379-397页

作者： Edgar Scavino mohd amiruddin abd.rahman Zahid Farid Department of Physics Faculty of ScienceUniversiti Putra MalaysiaUPM Serdang43400Malaysia Department of Electrical Engineering Abasyn UniversityKhyber-PakhtunkhwaPakistan

Accurate location or positioning of people and self-driven devices in large indoor environments has become an important necessity The application of increasingly automated self-operating moving transportation units,in large indoor spaces demands a precise knowledge of their *** like WiFi and Bluetooth,despite their low-cost and availability,are sensitive to signal noise and fading *** these reasons,a hybrid approach,which uses two different signal sources,has proven to be more resilient and accurate for the positioning determination in indoor ***,this paper proposes an improved hybrid technique to implement a fingerprinting based indoor positioning,using Received Signal Strength information from available Wireless Local Area Network access points,together with the Wireless Sensor Networks *** signals were recorded on a regular grid of anchor points,covering the research *** optimization was performed by relative signal weighting,to minimize the average positioning error over the research *** optimization process was conducted using a standard Quantum Particle Swarm Optimization,while the position error estimate for all given sets of weighted signals was performed using aMultilayer Perceptron(MLP)neural *** to our previous research works,the MLP architecture was improved to three hidden layers and its learning parameters were finely *** experimental results led to the 20%reduction of the positioning error when a suitable set of signal weights was calculated in the optimization *** final achieved value of 0.725 m of the location incertitude shows a sensible improvement compared to our previous results.

关键词： QPSO indoor localization fingerprinting neural networks WiFi WSN

Ion-acoustic waves with non-planar wavefronts

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Plasma Science and Technology 2024年第1期26卷 1-7页

作者： Shujaht BUKHARI Muhammad SHAHID Ata-ur rahman Department of Physics The University of Azad Jummu and KashmirMuzaffarabad 13100Azad Kashmir Department of Physics Women University of Azad Jammu&KashmirBagh 12500Pakistan Department of Physics Islamia College PeshawerPeshawar 25120Pakistan

The ion-acoustic(IA) mode exhibiting various orbital angular momentum(OAM) states is examined in a plasma with drifting *** constituent plasma species are modeled with a non-gyrotropic Maxwellian distribution and discussion of dispersion relation and growth rate of twisted IA waves under various conditions is *** the domain of kinetic model,the twisted IA waves are characterized by Laguerre-Gaussian(LG) solutions,where plasma distribution function and electric field are decomposed into axial and azimuthal *** plasma response function is obtained under paraxial approximations and investigated for threshold condition of instability growth rate with helical electric field *** impact of an extra electron specie on the instability is demonstrated through a comparison of twisted waves for single and double electron species.

关键词： instability twist parameter wave excitation orbital angular momentum threshold limit