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Energy Management of Networked Smart Railway Stations Considering Regenerative Braking, Energy Storage System, and Photovoltaic Units

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Energy Engineering 2023年第1期120卷 69-86页

作者： saeed Akbari seyed saeed fazel Hamed Hashemi-Dezaki School of Railway Engineering Iran University of Science and TechnologyTehran13114-16846Iran Department of Electrical and Computer Engineering University of KashanKashan***Iran Research and Innovational Center for Electrical Engineering(RICE) Faculty of Electrical EngineeringUniversity ofWest Bohemia(UWB)Pilsen30100Czech Republic

The networking of microgrids has received significant attention in the form of a smart *** this paper,a set of smart railway stations,which is assumed as microgrids,is connected *** has been tried to manage the energy exchanged between the networked microgrids to reduce received energy from the utility ***,the operational costs of stations under various conditions decrease by applying the proposed *** smart railway stations are studied in the presence of photovoltaic(PV)units,energy storage systems(ESSs),and regenerative braking *** regenerative braking is one of the essential ***,the stochastic behaviors of the ESS’s initial state of energy and the uncertainty of PV power generation are taken into account through a scenario-based *** networked microgrid scheme of railway stations(based on coordinated operation and scheduling)and independent operation of railway stations are *** proposed method is applied to realistic case studies,including three stations of Line 3 of Tehran Urban and Suburban Railway Operation Company(TUSROC).The rolling stock is simulated in the MATLAB ***,the coordinated operation of networked microgrids and independent operation of railway stations are optimized in the GAMS environment utilizing mixed-integer linear programming(MILP).

关键词： Energy management system(EMS) smart railway stations coordinated operation photovoltaic generation regenerative braking uncertainty scenario-based model mixed-integer linear programming(MILP)

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Investigation of Power Factor Behavior in AC Railway System Based on Special Traction Transformers

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Journal of Electromagnetic Analysis and Applications 2010年第11期2卷 618-626页

作者： Mohsen Kalantari Mohammad Javad Sadeghi seyed saeed fazel Siamak Farshad 不详

The single-phase traction load has essentially an unbalance characteristic at the Point of Common Coupling (PCC), which injects harmonic into the utility grid. In this paper, the effect of harmonic distortion and unbalance loading are investigated simultaneously for electrical railway systems. Special traction transformers (i.e. single-phase, V/V, Wye-Delta, Scott, and Le Blanc) are used between the utility grid and the traction load. For analysis, different defini-tions of power factors are considered, which are presented by IEEE Std.1459. The detailed simulation study is made with MATLAB/SIMULINK program to represent the impacts of harmonic components and unbalance loading on the power factor behavior in the Electrical Railway systems.

关键词： Power Factor Traction Transformer Unbalance Loading

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Multidisciplinary design optimization of a dual-spin guided vehicle

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Defence Technology（防务技术） 2024年第7期37卷 133-148页

作者： Jalal Karimi Mohammad Reza Rajabi seyed Hossein Sadati seyed Mahid Hosseini Department of Aerospace Engineering Malek Ashtar University of TechnologyTehranIran

In this research,a Multidisciplinary Design Optimization approach is proposed for the dual-spin guided flying projectile design considering external and internal parts of the body as design *** this way,a parametric formulation is *** related disciplines,including structure,aerodynamics,guidance,and control are *** total mass,maximum aerodynamic control effectiveness,minimum miss distance,maximum yield stress in all subsystems,controllability and gyroscopic stability constraints are some of objectives/constraints taken into *** problem is formulated in All-At-Ones Multidisciplinary Design Optimization approach structure and solved by Simulated Annealing and minimax *** optimal configurations are evaluated in various *** resulted optimal configurations have met all design objectives and constraints.

关键词： Flying projectile optimal design All-at-ones multidisciplinary optimization Structure discipline Guidance and control discipline Aerodynamic discipline

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Two-dimensional MOF-based materials:Preparations and applications as electrodes in Li-ion batteries

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Journal of Energy Chemistry 2024年第10期97卷 388-418,I0008页

作者： Narges Nobakht Seyyed Ahmad Etghani Mohammad Hosseini seyed Hamed Aboutalebi Condensed Matter National Laboratory Institute for Research in Fundamental SciencesTehran 19395-5531Iran School of Biological Sciences Institute for Research in Fundamental SciencesTehran 19395-5746Iran BattScout Company London RoadBishopdownSalisbury SP13EnglandUnited Kingdom

Two-dimensional(2D)metal-organic frameworks(MOFs)are rapidly emerging as a unique class of mushrooming family of 2D materials offering distinctive features,such as hierarchical porosity,extensive surface area,easily available active sites,and versatile,adaptable *** promising characteristics have positioned them as highly appealing alternatives for a wide range of applications in energy storage technologies,including lithium ***,the poor conductivity and limited stability of 2D MOFs have limited their real applications in electrochemical energy *** limitations have therefore warranted ongoing research to enhance the performance of 2D *** the significance of 2D MOF-based materials as an emerging class of advanced materials,a multitude of strategy has been devised to address these challenges such as synthesizing 2D conductive MOFs and derivatives along with 2D MOF *** promising approach involves the use of 2D MOF derivatives,including transition metal oxides,which due to their abundant unsatu rated active metal sites and shorter diffusion paths,offer superior electrochemical ***,by combining pristine 2D MOFs with other materials,hybrid 2D MOF materials can be *** hybrids,with their enhanced stability and conductivity,can be directly utilized as active materials in lithium *** the present review,we categorize 2D MOF-based materials into three distinct groups:pristine 2D MOFs,2D MOFderived materials,and 2D MOF hybrid *** synthesis methods for each group,along with their specific applications as electrode materials in lithium-ion batteries,are discussed in *** comprehensive review provides insights into the potential of 2D MOFs while highlighting the opportunities and challenges that are present in this evolving field.

关键词： Li-ion batteries 2D materials 2D metal-organic frameworks Energy storage Synthesis

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A verifiable essential secret image sharing scheme based on HLRs(VESIS-(t,s,k,n))

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CAAI Transactions on Intelligence Technology 2024年第2期9卷 388-410页

作者： Massoud Hadian Dehkordi seyed Taghi Farahi Samaneh Mashhadi Cryptography and Data Security Laboratory School of MathematicsIran University of Science and TechnologyNarmakTehranIran

In traditional secret image sharing schemes,a secret image is shared among shareholders who have the same *** if the shareholders have two different positions,essential and non‐essential,it is necessary to use essential secret image sharing *** this article,a verifiable essential secret image sharing scheme based on HLRs is ***'s share consists of two *** first part is produced by the shareholders,which prevents the fraud of *** second part is a shadow image that is produced by using HLRs and the first part of *** verification of the first part of the shares is done for the first time by using multilinear and bilinear ***,for verifying shadow images,Bloom Filters are used for the first *** proposed scheme is more efficient than similar schemes,and for the first part of the shares,has formal security.

关键词： Bloom Filter cryptography Essential Secret Image Sharing Verifiability

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Theoretical framework of the Isfahani style: Inspiring sustainable aspects of a vernacular urban development

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Frontiers of Architectural Research 2024年第2期13卷 349-369页

作者： Hatef Jafari Sharami seyed Jamalaldin Hosseini Department of Architecture and Urbanism University of EyvanekeyEyvanekey 99888-35918Iran Faculty of Civil and Architecture University of EyvanekeyEyvanekey 99888-35918Iran

The Isfahani style represents a method of traditional Iranian architecture and urban development that existed in the early 20th century and is regarded as a leading model in most traditional Iranian cities. It exhibits several vigorous features contributing to its recognition as a traditional approach to sustainable architecture and urban development. This research endeavors to reveal a theoretical framework beneath these inspiring aspects using the typology of sustainable modern forms, including the hierarchy, passive design strategies, compactness, density, diversity, mixed land use, pluralism, balance, good composition, and integration over time. To this end, the study employs qualitative research methods, drawing from traditional samples, to identify innovative, energy and socially efficient, and low-impact strategies implemented in this vernacular architecture of Iran's semi-arid and hot climates. The findings revealed that the neighborhood concept as a local and plural community (Mahalla) was a vital phenomenon in Iran's urban development. Apparently, the demise of this paradigm effectively played an important role in the numerous challenges regarding the social, energy, and economic viability of modern Iranian cities. Hence, this study presented theoretical frameworks—aligned with sustainable concepts—from the Isfahani style through its analysis, classification, and interpretation, which can contribute to modern urban development.

关键词： Isfahani style Vernacular urban development Sustainable urban development Iranian cities Vernacular architecture

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Correlation between platinum–aluminide coating features and tensile behavior of nickel-based superalloy Rene?80

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Rare Metals 2024年第10期43卷 5391-5402页

作者： Mohammad Mehdi Barjesteh seyed Mehdi Abbasi Karim Zangeneh Madar Kourosh Shirvani Metallic Materials Research Center Malek Ashtar University of Technology (MUT) Department of Advanced Materials and New Energies Iranian Research Organization for Science and Technology (IROST)

The effect of platinum （a rare metal）–aluminide coating parameters on the tensile properties of nickel-based superalloy Rene?80 was evaluated at 871。*** this purpose,initial layers of platinum with different thicknesses （2,4,6 and 8μm） were coated on tensile samples Then,low-temperature high-activity （LTHA） and hightemperature low-activity （HTLA） processes were used for *** of microstructural evaluations using scanning electron microscope （SEM） and phase analysis by X-ray diffraction （XRD） showed a three-layer structure coating for different platinum layer thicknesses and both aluminizing *** the thickness of the platinum layer from 2 to 8μm led to the improvement in the final coating thickness from 91.6 to 102.1μm in *** increase was from 128.1 to 148.6 μm in *** results of hot tensile tests at 871℃ showed a decrease in strength properties of the coated samples compared to the uncoated ***,HTLA and high thicknesses of the initial platinum layer showed an intense *** results of fractographic evaluations abou uncoated samples showed a ductile *** the other hand,coated samples showed a simultaneous ductile and brittle fracture failure *** the main fracture morphology was brittle cleavage fracture which was for the HTLA.

关键词： Aluminizing Fractography Platinum–aluminide Rene®80 Tensile properties

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Influence of Biomimetic Apatite Coating on the Biobehavior of TiO_(2)Scaffolds

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Journal of Bionic Engineering 2024年第4期21卷 1975-1986页

作者： Shima Mahtabian seyed Mehdi Mirhadi Nahid Hassanzadeh Nemati Melika Sharifi Fariborz Tavangarian Department of Biomedical Engineering University of DelawareNewarkDE19716USA Department of Ceramic Engineering Islamic Azad University(Shahreza Branch)ShahrezaIsfahan86145-311Iran Department of Biomedical Engineering Islamic Azad University(Science and Research Branch)TehranIran Mechanical Engineering Program School of ScienceEngineering and TechnologyPennsylvania State UniversityHarrisburgMiddletownPA17057USA Department of Materials Science&Engineering Islamic Azad University(Najaf Abad Branch)Najaf AbadIsfahan***Iran Biomedical Engineering Department Pennsylvania State UniversityState CollegeUniversity ParkPennsylvania16802USA

Immersion of scaffolds in Simulated Body Fluid(10SBF)is a standardized method for evaluating their bioactivity,simulating in vivo conditions where apatite deposits can be formed on the surface of scaffold,facilitating bone integration and ensuring their suitability for bone implant purposes,ultimately contributing to long-term implant *** effect of apatite deposition on bioactivity and cell behavior of TiO_(2)scaffolds was *** were soaked in 10SBF for different durations to form HAP layer on their *** results proved the development of a hydroxyapatite film resembling the mineral composition of bone Extracellular Matrix(ECM)on the TiO_(2)*** XRD test findings showed the presence of hydroxyapatite layer similar to bone at the depth of 10 nm.A decrease in the specific surface area(18.913 m^(2)g^(−1)),the total pore volume(0.045172 cm^(3)g^(−1)(at p/p0=0.990)),and the mean pore diameter(9.5537 nm),were observed by BET analysis which confirmed the formation of the apatite *** was found that titania scaffolds with HAP coating promoted human osteosarcoma bone cell(MG63)cell attachment and *** seems that immersing the scaffolds in 10SBF to form HAP coating before utilizing them for bone tissue engineering applications might be a good strategy to promote bioactivity,cell attachment,and implant fixation.

关键词： Titania Hierarchical meso/macro porous 10SBF Biomimetic apatite Coating

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Performance comparison of machine learning algorithms for maximum displacement prediction in soldier pile wall excavation

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Underground Space 2024年第3期16卷 301-313页

作者： Danial Sheini Dashtgoli Mohammad Hossein Dehnad seyed Ahmad Mobinipour Michela Giustiniani Department of Mathematics Informaticsand GeosciencesUniversity of TriesteTrieste 34127Italy National Institute of Oceanography and Applied Geophysics-OGS Borgo Grotta Gigante 42/CTriesteSgonico 34010Italy Department of Civil Engineering University of QomQom ***Iran

One of the common excavation methods in the construction of urban infrastructures as well as water and wastewater facilities is the excavation through soldier pile *** maximum lateral displacement of pile wall is one of the important variables in controlling the stability of the excavation and its adjacent ***,the application of machine learning methods is widely used in engineering sciences due to its low cost and high speed of *** paper utilized three intelligent machine learning algorithms based on the excavation method through soldier pile walls,namely eXtreme gradient boosting(XGBoost),least square support vector regressor(LS-SVR),and random forest(RF),to predict maximum lateral displacement of pile *** results showed that the implemented XGBoost model performed excellently and could make predictions for maximum lateral displacement of pile walls with the mean absolute error of 0.1669,the highest coefficient of determination 0.9991,and the lowest root mean square error *** the LS-SVR,and RF models were less accurate than the XGBoost model,they provided good prediction results of maximum lateral displacement of pile walls for numerical ***,a sensitivity analysis was performed to determine the most effective parameters in the XGBoost *** analysis showed that soil elastic modulus and excavation height had a strong influence on of maximum lateral displacement of pile wall prediction.

关键词： Soldier pile wall Lateral displacements XGBoost Machine learning Artificial intelligence

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Intelligent solubility estimation of gaseous hydrocarbons in ionic liquids

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Petroleum 2024年第1期10卷 109-123页

作者： Behnaz Basirat Fariborz Shaahmadi seyed Sorosh Mirfasihi Abolfazl Jomekian Bahamin Bazooyar Ahvaz Faculty of Petroleum Engineering Petroleum University of Technology(PUT)Ahvaz***Iran School of Engineering&Physical Sciences Heriot Watt UniversityEdinburgh EH144ASUK Department of Fluids&Environment The University of ManchesterManchesterM139PLUK Department of Engineering Chemical Engineering GroupEsfarayen University of TechnologyIran Mechanical and Aerospace Engineering Brunel University LondonUxbridge UB83PHUK

The research focuses on evaluating how well new solvents attract light hydrocarbons,such as propane,methane,and ethane,in natural gas sweetening *** is important to accurately determine the solubility of hydrocarbons in these solvents to effectively manage the sweetening *** address this challenge,the study proposes using advanced empirical models based on artificial intelligence techniques like Multi-Layer Artificial Neural Network(ML-ANN),Support Vector Machines(SVM),and Least Square Support Vector Machine(LSSVM).The parameters for the SVM and LSSVM models are estimated using optimization methods like Genetic Algorithm(GA),Particle Swarm Optimization(PSO),and Shuffled Complex Evolution(SCE).Data on the solubility of propane,methane,and ethane in various ionic liquids are collected from reliable literature sources to create a comprehensive *** proposed artificial intelligence models show great accuracy in predicting hydrocarbon solubility in ionic *** these,the hybrid SVM models perform exceptionally well,with the PSO-SVM hybrid model being particularly efficient *** ensure a comprehensive analysis,different examples of hydrocarbons and their order are ***,a comparative analysis is conducted to compare the AI models with the thermodynamic COSMO-RS model for solubility *** results demonstrate the superiority of the AI models,as they outperform traditional thermodynamic models across a wide range of *** conclusion,this study introduces advanced artificial intelligence algorithms such as ML-ANN,SVM,and LSSVM in accurately estimating the solubility of hydrocarbons in ionic *** incorporation of optimization techniques and variations in hydrocarbon examples improves the accuracy,precision,and reliability of these intelligent *** findings highlight the significant potential of AI-based approaches in solubility analysis and emphasize their superiority over traditional thermodynami

关键词： Solubility Gaseous hydrocarbon Intelligent models Ionic liquids

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