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Articles 20371 - 20400 of 196385
Full-Text Articles in Engineering
Liquefaction Hazard Analysis Of Northeast Arkansas Using Cone Penetration Test Data, Rupesh Mahat
Liquefaction Hazard Analysis Of Northeast Arkansas Using Cone Penetration Test Data, Rupesh Mahat
Student Theses and Dissertations
The presence of seismically active New Madrid Seismic Zone puts Northeast Arkansas at seismic hazard. The deep soft sediments of Northeast Arkansas within the Mississippi Embayment put the region at liquefaction risk. One hundred and thirty-one (131) Cone Penetration Test (CPT) data are used for liquefaction assessments. Liquefaction analysis on 20 m of surficial deposits is analyzed and compared. Sensitivity and parametric study are also conducted. Geographical Information System (GIS) maps based on liquefaction potential indices are generated. Contour maps of liquefaction potentials are developed for Mississippi County. Liquefaction varies spatially in Northeast Arkansas. A full 20 m of soil …
Control And Estimation Of Unmanned Aerospace Vehicles In The Presence Of Constraints And Dynamic Uncertainties, Abhijit Dongare
Control And Estimation Of Unmanned Aerospace Vehicles In The Presence Of Constraints And Dynamic Uncertainties, Abhijit Dongare
Dissertations - ALL
In the first part of this dissertation, we consider the control of autonomous systems in the presence of pointwise-in-time state and control constraints. Firstly, we propose the attitude and pointing control of a rigid body in the presence of constraints. Artificial potentials are used to achieve desired tracking and avoid pointing direction constraints. The proposed control law ensures the asymptotic convergence to the desired attitude and pointing direction. Additionally, the control of driftless control-affine systems is also considered. The feedback system converges in a stable manner to the desired safe set in the state space, while avoiding the unsafe exclusion …
Unmanned Aerial Systems (Uas) Traffic Density Prediction And Multi-Agent Task Allocation, Chen Luo
Unmanned Aerial Systems (Uas) Traffic Density Prediction And Multi-Agent Task Allocation, Chen Luo
Dissertations - ALL
In recent years, the field of Multi-Agent Systems (MAS) has garnered increasing attention. The essence of Multi-Agent Systems lies in orchestrating the coordination and collaboration of autonomous agents, endowing them with the ability to work collectively towards common goals. This characteristic makes MAS particularly germane in addressing the challenges posed by complex and dynamic environments, where theadaptability and decentralized decision-making of autonomous agents prove advantageous. To delve into the intricacies of MAS, three primary research directions have emerged. Firstly, we aim to develop a model rapidly and accurately to forecast future Unmanned Aerial Systems (UAS) traffic density patterns while simultaneously …
Efficacy Of Rice Husk Ash (Rha) And Hydrated Lime As Stabilizing Agents For Poor Subgrade Soils In Arkansas, Fares Tarhuni
Efficacy Of Rice Husk Ash (Rha) And Hydrated Lime As Stabilizing Agents For Poor Subgrade Soils In Arkansas, Fares Tarhuni
Student Theses and Dissertations
Rice husk is controlled-burned farm waste. Ash is rich in silicate, a pozzolanic material that improves soil. Rice Husk Ash (RHA) and Hydrated lime (HL) are tested as soil stabilizers in Arkansas' poor subgrade soils. This study analyzes two local subgrade soils with different RHA (3, 6, and 9%), HL (1, 3, and 5%), and RHA (3, 4, or 5%) plus 1%HL. Its goal is to discover the ideal percentages of RHA, HL, or a combination treated soils were tested for Atterberg limits, Modified Proctor, pH, CBR, UCS, and Free Swell. In testing, RHA and HL reduced soil plasticity and …
Power Grid Resiliency Enhancement Against Flood-Induced Hazards, Mohadese Movahednia
Power Grid Resiliency Enhancement Against Flood-Induced Hazards, Mohadese Movahednia
LSU Doctoral Dissertations
Natural disasters, such as floods, may damage power system assets and lead to widespread and long outages. The impact of flood can be alleviated by preventive actions such as installing tiger dams around power substations before the flood. In this regard, it is imperative that critical substations are identified in terms of the connected load and imposed costs to the system. This study presents a resource allocation approach for protecting power substations against flood events a day ahead of the event. First, the required information for the model is extracted. Flood probability distribution functions are used to generate several flood …
Characterization Of Functionalized Nanoparticle Coatings Subjected To Soiling And Cementation, Fuad Behbudov
Characterization Of Functionalized Nanoparticle Coatings Subjected To Soiling And Cementation, Fuad Behbudov
Student Theses and Dissertations
This thesis investigates the efficacy of functionalized nanoparticle coatings in reducing soiling and cementation on solar panels. Employing cementation cycles with Arizona Test Dust (ATD) and Arabian American Oil Company (ARAMCO) dust, the study examines the impact of these coatings under simulated environmental conditions. Key analyses include water contact angle (WCA), transmittance, and X-ray Photoelectron Spectroscopy (XPS). Results show that methylated coatings significantly enhance hydrophobicity and maintain higher transmittance, suggesting less frequent cleaning and sustained effectiveness. The study noted a considerable variation in WCA post-cementation, particularly a marked decrease for the lighting sample, signifying a notable chemical alteration on the …
Exploring The Electrochemical Performance Of Calcium-Ion Batteries With Novel Cathodes And Electrolytes, Paul Alexis Chando
Exploring The Electrochemical Performance Of Calcium-Ion Batteries With Novel Cathodes And Electrolytes, Paul Alexis Chando
Dissertations - ALL
The development of electric vehicles and energy storage devices are part of larger international efforts to create a sustainable future. Lithium-ion batteries have become crucial components to powering these technologies. However, the growing dependence of this singular battery chemistry to power an ever expanding landscape of technologies raises sustainability issues around lithium. Exploration of alternate battery chemistries have become part of research efforts to meet global energy demands. Calcium has emerged as one such battery system that could help alleviate stresses placed on lithium with its energy density and cost. Battery chemistries are unique, and each battery possesses its own …
No Difference In Pullout Strength Between A Bio-Inductive Implant And A Semitendinosus Tendon Graft In A Biomechanical Study Of Medial Patellofemoral Ligament Repair Augmentation, Austin Wetzler, Sean Mcmillan, Erik Brewer, Aakash Patel, Samuel Handy, Merrick Wetzler
No Difference In Pullout Strength Between A Bio-Inductive Implant And A Semitendinosus Tendon Graft In A Biomechanical Study Of Medial Patellofemoral Ligament Repair Augmentation, Austin Wetzler, Sean Mcmillan, Erik Brewer, Aakash Patel, Samuel Handy, Merrick Wetzler
Rowan-Virtua School of Translational Biomedical Engineering & Sciences Departmental Research
Purpose: To compare the pullout strength of a bio-inductive implant (BI) used to augment a medial patellofemoral ligament (MPFL) repair with the pullout strength of semitendinosus graft in a biomechanical cadaveric model. Methods: Six matched pairs of cadavers (12 knees) were used in the biomechanical testing comparing semitendinosus tendon (Semi-T) versus a BI. The Semi-T was harvested from 1 of the matched pairs. A standard double-bundle technique using 2 sockets in the upper two-thirds of the patella 15 mm apart was performed. After docking of the graft into the patella, the patella was dissected free of soft tissues and potted …
Data-Driven Control Of Acoustic Waves Using Movable And Flexible Scatterers, Noam Smilovich
Data-Driven Control Of Acoustic Waves Using Movable And Flexible Scatterers, Noam Smilovich
Master's Theses
Partial Differential Equations (PDEs) serve as fundamental tools in scientific and engineering disciplines, modeling phenomena ranging from material design to climate dynamics. Developing robotic systems capable of controlling PDE-governed systems, particularly when these phenomena are only partially observable, has the potential to drive significant technological advancements. This work presents a framework that leverages physics-informed machine learning (ML) for the control of PDEs. At the core of this approach is an agent equipped with sensors that generate a low-dimensional, physics-informed representation of the environment, enabling the derivation of optimal sparse control policies for the agent’s actuators. The focus is on manipulating …
Surface Modification Of Poly(4,4'-Oxydiphenilene Pyromellitimide) With Low-Pressure Plasma Treatment, Cihan Aktas
Surface Modification Of Poly(4,4'-Oxydiphenilene Pyromellitimide) With Low-Pressure Plasma Treatment, Cihan Aktas
USF Tampa Graduate Theses and Dissertations
This study explores the change of the wetting characteristics of commercially availablepolyimide (PI), Kapton® HN, films a type of poly(4,4′-oxydiphenylene-pyromellitimide), following treatment with low-pressure plasmas of carbon tetrafluoride (CF4), air, hydrogen (H2), carbon-dioxide (CO2) and oxygen (O2) gases as well as the surface texturing via laser-exposure procedure. The water contact angle (CA) and surface free energy (SFE) of untreated PI films were determined as 82.4°±0.8 and 45.0±0.3 mN/m, respectively. After CF4 plasma gas treatment, the CA value of PI films increased to 110.2°±1.0, while it decreased to 9.3°±2.3 after O2 plasma gas treatment. The surface free energy (SFE) of PI …
Application Of Learning Processes For Improving Last-Mile Logistics Optimization At Scale, Seyedeh Shaghayegh Rabbanian
Application Of Learning Processes For Improving Last-Mile Logistics Optimization At Scale, Seyedeh Shaghayegh Rabbanian
LSU Doctoral Dissertations
The escalating demands of omnichannel retailing, rapid urbanization and shifting customer behaviors have propelled last-mile vehicle routing logistics to the forefront of research. This last-mile phase, recognized as a significant contributor to costs and pollution in the supply chain, necessitates efficient route optimization to minimize expenses and environmental impact. This research delves into machine learning based techniques for solving large-scale Vehicle Routing Problem (VRP), a fundamental concern in last-mile logistics, aiming to optimize delivery vehicle routing amidst diverse customer nodes and operational constraints. Three primary research subproblems are analyzed: utilizing machine learning for constructive solutions, Variable Neighborhood Search (VNS) metaheuristic, …
Integrated Project Delivery (Ipd): A Contractual Framework For The Egyptian Construction Industry, Sarah Hussain
Integrated Project Delivery (Ipd): A Contractual Framework For The Egyptian Construction Industry, Sarah Hussain
Theses and Dissertations
This abstract highlight the significant findings and contributions of the study, which aimed to develop model clauses specifically tailored to the Egyptian construction industry for multi-party construction contracts. The research methodology encompassed several key components. Firstly, a comprehensive literature review was conducted to explore the various construction delivery methods prevalent in Egypt. This review provided a solid foundation for understanding the existing practices and identifying areas for improvement. The study also delved into the concept of Integrated Project Delivery (IPD) and its potential benefits as well as an analysis of the commonly used standard forms of contract and successful case …
Cubesat Reaction Wheel Attitude Control Platform System Architecture, Justin Hartland
Cubesat Reaction Wheel Attitude Control Platform System Architecture, Justin Hartland
Beyond: Undergraduate Research Journal
In the classroom, physics behind spacecraft attitude dynamics and controls is abstract and difficult to comprehend. It is common that students struggle to develop the connection between the math they learn and how it can be applied in the real world. The goal of this project is to design and manufacture a 1U, 3U, and 6U CubeSat testbed for autonomous control systems utilizing reaction wheels. The testbed will include three separate reaction wheels each mounted on its own respective axis to control the attitude in 3 degrees of freedom. The end goal of the CubeSat Control Platform is to be …
Enhancing The Tribological Performance Of Prosthetic Implants: An Investigation Of Cnc Surface Micro-Texturing On Uhmwpe, Javier Ortega, J. Perez, N. Perez
Enhancing The Tribological Performance Of Prosthetic Implants: An Investigation Of Cnc Surface Micro-Texturing On Uhmwpe, Javier Ortega, J. Perez, N. Perez
Research Symposium
Background: Annually, there are over a million joint replacement procedures and more than 250,000 revision surgeries in the United States. The typical lifespan of a joint replacement ranges from 7 to 15 years, often curtailed by complications such as excessive implant wear leading to infections and joint dislocations. Given that most joint replacement recipients are between the ages of 50 and 70, the later part of their lives is often marred by repeated surgeries and discomfort. Presently, the predominant material used in joint replacements is medical-grade Ultra-High Molecular Weight Polyethylene (UHMWPE) with smooth surfaces. While these smooth surfaces are believed …
Love Machina, John C. Lyden
Love Machina, John C. Lyden
Journal of Religion & Film
This is a film review of Love Machina (2024), directed by Peter Sillen.
Integrated Rules Classifier For Predicting Pathogenic Non-Synonymous Single Nucleotide Variants In Human, Ahmed Barakat Hosseny, Marwa Said Hassan, A A. Shalan, Shymaa Khamis, M I. Dessouky
Integrated Rules Classifier For Predicting Pathogenic Non-Synonymous Single Nucleotide Variants In Human, Ahmed Barakat Hosseny, Marwa Said Hassan, A A. Shalan, Shymaa Khamis, M I. Dessouky
Basic Science Engineering
The most prevalent kind of genetic variants in humans are non-synonymous single nucleotide variants (nsSNVs). Several prediction tools have been launched to forecast the effect of amino acid substitutes on human protein function. These tools sort variants as pathogenic or neutral. We developed an Integrated Rules Classifier (Integration Score through JRip “ISTJRip”), which integrates the four individual tools that are publicly available; iFish, Mutation Assessor, FATHMM, and SIFT-based on the JRip machine learning technique. Additionally, we compared the ISTJRip approach with the other three created integration classifiers; Integration Score through J48 “ISTJ48”, Integration Score through RF “ISTRF”, and Integration …
Characterizing Nonlinear Fluid Flow In 3d Printed Rock Fractures: Effects Of Roughness, Aperture, And Intersection Angles, Ghoulem Ifrene, Prasad Pothana, Sven Egenhoff, Nicholas Bittner, Kuldeep Singh
Characterizing Nonlinear Fluid Flow In 3d Printed Rock Fractures: Effects Of Roughness, Aperture, And Intersection Angles, Ghoulem Ifrene, Prasad Pothana, Sven Egenhoff, Nicholas Bittner, Kuldeep Singh
Petroleum Engineering Posters and Presentations
Understanding fluid flow behavior at fracture intersections is vital to geothermal energy extraction, underground water flow, and CO2 storage. Here, laboratory experiments were performed to study the effect of surface roughness, intersection angles, and aperture on nonlinear flow behavior in simple fracture networks. A FormLabs (3B+) 3D printer was used to fabricate 8 samples of 38.1mm in diameter and 59.43mm or 54.9mm in length with 2 intersecting fractures of 10o and 40o respectively. The surface roughness of the fractures was based on laser profilometry measurements from two induced mode 1 rock fractures, with a joint roughness coefficient …
Reactive Capture And Conversion Of Co2 Into Hydrogen Over Bifunctional Structured Ce1-Xcoxnio3/Ca Perovskite-Type Oxide Monoliths, Khaled Baamran, Shane Lawson, Ali A. Rownaghi, Fateme Rezaei
Reactive Capture And Conversion Of Co2 Into Hydrogen Over Bifunctional Structured Ce1-Xcoxnio3/Ca Perovskite-Type Oxide Monoliths, Khaled Baamran, Shane Lawson, Ali A. Rownaghi, Fateme Rezaei
Chemical and Biochemical Engineering Faculty Research & Creative Works
Carbon capture, utilization, and storage (CCUS) technologies are pivotal for transitioning to a net-zero economy by 2050. In particular, conversion of captured CO2 to marketable chemicals and fuels appears to be a sustainable approach to not only curb greenhouse emissions but also transform wastes like CO2 into useful products through storage of renewable energy in chemical bonds. Bifunctional materials (BFMs) composed of adsorbents and catalysts have shown promise in reactive capture and conversion of CO2 at high temperatures. In this study, we extend the application of 3D printing technology to formulate a novel set of BFMs composed …
Synthesis And Characterization Of Cellulose Microfibril-Reinforced Polyvinyl Alcohol Biodegradable Composites, Fatemeh Mahdiyeh-Boroujeni, Gabriella Fioravanti, Ronald Kander
Synthesis And Characterization Of Cellulose Microfibril-Reinforced Polyvinyl Alcohol Biodegradable Composites, Fatemeh Mahdiyeh-Boroujeni, Gabriella Fioravanti, Ronald Kander
School of Design and Engineering Papers
The pursuit of an environmentally sustainable manufacturing process requires the substitution of less damaging and recyclable solutions for harmful reagents. This study aims to assess the effectiveness of using cellulose microfibrils synthesized via different hydrolysis reactions as reinforcing agents in polyvinyl alcohol (PVA) at varying concentrations. The investigation explores the morphology, thermal properties, and chemical behavior of the cellulose particles. The cellulose microfibrils (CMFs) produced using citric acid exhibited the highest yield and aspect ratio. Notably, particles from organic acids demonstrated greater thermal stability, with oxalic acid-derived particles displaying the maximum thermal degradation temperature. Subsequently, cast films of PVA reinforced …
Effects Of Electrode Materials And Potential Gradient On Electro-Osmotic Consolidation For Marine Clayey Soils, Haihui Jin, Lei Zhang, Binghui Wang, Chen Fang, Liyan Wang
Effects Of Electrode Materials And Potential Gradient On Electro-Osmotic Consolidation For Marine Clayey Soils, Haihui Jin, Lei Zhang, Binghui Wang, Chen Fang, Liyan Wang
Department of Civil and Environmental Engineering: Faculty Publications
This study conducted experimental investigations into the effects of electrode material and potential gradient on the effectiveness of electro-osmotic consolidation (EO) in strengthening soft soils. Seven laboratory tests were conducted on high-water-content marine clayey soils through EO. In these experimental tests, four different types of electrodes made of steel, copper, aluminum, and composite carbon fiber (CCF) were employed in four tests each to evaluate the consolidation effectiveness. Additionally, four tests, one was the comparitive study for different eletrode materials, were carried out to determine the optimal gradient for the EO using CCF electrode. Several critical properties of the tested soils …
Thermal Runaway Analysis And Cooling Strategies For Nmc 523 Li-Ion Battery Packs Using Pcm, Heat Pipes, And Air Cooling, Vijethvardhan Singh
Thermal Runaway Analysis And Cooling Strategies For Nmc 523 Li-Ion Battery Packs Using Pcm, Heat Pipes, And Air Cooling, Vijethvardhan Singh
Master's Theses
The growing demand for electric vehicles (EVs) necessitates efficient thermal management of lithium-ion batteries (LIBs), especially NMC 523 cells. This thesis investigates thermal runaway (TR) mechanisms and evaluates cooling strategies to mitigate overheating risks. Using ANSYS Fluent, the TR of four cells in series was simulated and validated with Jun Wu et al.'s experimental data, achieving an error margin below 10%. Peak temperatures reached 1,126°C in the first cell, with delayed propagation in adjacent cells. Sensitivity analysis of voltage, current, and state of charge (SOC) under varying C-rates was performed using a multi-scale multi-domain (MSMD) battery model. A logarithmic voltage …
Dielectric Permittivity Of Pzt 95/5 Ferroelectric Ceramics And 0.27pin-Pmn-0.26pt Single Crystals Under Pulsed High Electric Fields, Sergey I. Shkuratov, Jason Baird, Vladimir G. Antipov, Christopher S. Lynch
Dielectric Permittivity Of Pzt 95/5 Ferroelectric Ceramics And 0.27pin-Pmn-0.26pt Single Crystals Under Pulsed High Electric Fields, Sergey I. Shkuratov, Jason Baird, Vladimir G. Antipov, Christopher S. Lynch
Mining Engineering Faculty Research & Creative Works
The dependence of the dielectric permittivity of ferroelectric materials on electric field magnitude impacts the performance of ferroelectric devices. In a ferroelectric generator, a shock wave travels through the ferroelectric element and depolarizes it, and surface charges are released from the element electrodes, resulting in the generation of a megawatt power level for several microseconds. The dielectric properties of the compressed and uncompressed zones of the ferroelectric element affect the generated voltage and energy. The results of previous studies indicate that the low-field dielectric permittivity of poled Pb0.99(Zr0.95Ti0.05)0.98Nb0.02O3 (PZT 95/5) ferroelectrics in the uncompressed zone differs significantly from the high-field …
Spatio-Temporal Association Rule Mining Of Traffic Congestion In A Large-Scale Road Network Based On Trajectory Data, Qifan Zhou, Haixu Liu, Zhipeng Dong, Yin Xu
Spatio-Temporal Association Rule Mining Of Traffic Congestion In A Large-Scale Road Network Based On Trajectory Data, Qifan Zhou, Haixu Liu, Zhipeng Dong, Yin Xu
Journal of System Simulation
Abstract: A K neighbor-RElim (KNR) algorithm and a sequential KNbr-RElim (SKNR) algorithm are proposed to mine traffic congestion association rules and congestion propagation spatio-temporal association rules by vehicle trajectory data in a large-scale road network. The KNR algorithm extends the spatial topology constraint based on the RElim algorithm. The KNR can be used to mine the road links prone to congestion from the large-scale trajectory dataset in a large-scale road network and quantify the strength of association for congested road links. The SKNR algorithm expands the time dimension in the form of sliding window and can be applied for mining …
Modeling And Analysing Of Complex Combat Systems Based On Symbiosis Theory, Xiangrui Tian, Jie Ying, Rui Yao, Xiaodong Wan
Modeling And Analysing Of Complex Combat Systems Based On Symbiosis Theory, Xiangrui Tian, Jie Ying, Rui Yao, Xiaodong Wan
Journal of System Simulation
Abstract: As the combat systems develop towards clustering, coordination, unmanned, and intelligent direction, traditional combat system modeling methods are unable to reflect the complexity and intelligence of the combat systems. By drawing on symbiosis theory, this paper models and analyzes complex combat systems, and decomposes the complex combat system into various subsystems according to combat missions. The combat units, interaction modes, and combat environments in the subsystems are analyzed. The paper builds mathematical models to capture the collaborative interaction relationships between combat units, finally constructing a symbiotic model of complex combat systems. By the symbiosis principles and methods, quantitative analysis …
Action Recognition Model Of Directed Attention Based On Cosine Similarity, Chen Li, Ming He, Chen Dong, Wei Li
Action Recognition Model Of Directed Attention Based On Cosine Similarity, Chen Li, Ming He, Chen Dong, Wei Li
Journal of System Simulation
Abstract: Aiming at the lack of directionality of traditional dot product attention, this paper proposes a directed attention model (DAM) based on cosine similarity. To effectively represent the direction relationship between the spatial and temporal features of video frames, the paper defines the relationship function in the attention mechanism using the cosine similarity theory, which can remove the absolute value of the relationship between features. To reduce the computational burden of the attention mechanism, the operation is decomposed from two dimensions of time and space. The computational complexity is further optimized by combining linear attention operation. The experiment is divided …
Overall Scheme Design And Integration Testing Of Hardware-In-The-Loop Simulation Of Guidance And Control System, Xiaofei Chang, Jiayue Jiao, Kang Chen, Wenxing Fu, Jie Yan
Overall Scheme Design And Integration Testing Of Hardware-In-The-Loop Simulation Of Guidance And Control System, Xiaofei Chang, Jiayue Jiao, Kang Chen, Wenxing Fu, Jie Yan
Journal of System Simulation
Abstract: Hardware-in-the-loop simulation system is a complex distributed simulation system, and its design and integration directly affect the system performance and construction goals. Based on years of experience, this paper first summarizes the design of the overall scheme and analyzes the performance requirements of real-time, compatibility, scalability, and security. Then, the paper describes the overall scheme of a typical hardware-in-the-loop simulation system, including the functional hierarchy, operation mechanism, and structural composition. Finally, it summarizes the contents and steps of the system integration testing, acceptance testing, and credibility evaluation method.
Emergency Material Scheduling Based On Discrete Shuffled Frog Leaping Algorithm, Xiaoning Shen, Zhongpei Ge, Chengbin Yao, Liyan Song, Yufang Wang
Emergency Material Scheduling Based On Discrete Shuffled Frog Leaping Algorithm, Xiaoning Shen, Zhongpei Ge, Chengbin Yao, Liyan Song, Yufang Wang
Journal of System Simulation
Abstract: A mathematical model of emergency material scheduling after earthquakes is built. The model evaluates the emergency degree of each disaster area based on the disaster situation and designs a method to split the demand of the disaster area, improving the efficiency of vehicle utilization. To solve the model, this paper proposes a discrete shuffled frog leaping algorithm with multi-resource learning. The multiple information sources introduced by the proposed algorithm can expand the search direction and reduce the assimilation speed of the population in the algorithm. Second, the worst individual in each subgroup can learn the effective information in the …
Combat Effectiveness Evaluation Method Of Homogeneous Cluster Equipment System Based On Rlomag+Eas, Guohui Zhang, Ang Gao, Ya'nan Zhang
Combat Effectiveness Evaluation Method Of Homogeneous Cluster Equipment System Based On Rlomag+Eas, Guohui Zhang, Ang Gao, Ya'nan Zhang
Journal of System Simulation
Abstract: The equipment system is the reflection of the combat system from the perspective of equipment. The research on the combat effectiveness evaluation of the equipment system is of great practical significance for the optimization, construction, and development of the equipment system. Cluster equipment combat system confrontation is characterized by large-scale, highly dynamic and strong confrontation, and it is difficult to directly evaluate combat effectiveness with traditional methods. Aiming at the single task homogeneous cluster equipment system (such as UAV reconnaissance swarm and ground unmanned platform fire assault cluster), this paper regards the confrontation process of equipment system as the …
Optimization On Cold Chain Distribution Routes Considering Carbon Emissions Based On Improved Ant Colony Algorithm, Huifang Bao, Jie Fang, Jinsi Zhang, Chuansheng Wang
Optimization On Cold Chain Distribution Routes Considering Carbon Emissions Based On Improved Ant Colony Algorithm, Huifang Bao, Jie Fang, Jinsi Zhang, Chuansheng Wang
Journal of System Simulation
Abstract: As the comprehensive distribution cost is not considered comprehensively in the current cold chain distribution route optimization, this paper builds a path optimization model to minimize the comprehensive distribution cost. The model combines with the characteristics of fresh distribution, and comprehensively considers the transportation cost, carbon emission, refrigeration, cargo damage and time window constraints during cold chain transportation. Then, an improved ant colony algorithm is designed to solve this model. At the initial stage, the genetic algorithm is adopted to generate the initial pheromone, and then the ant colony algorithm is applied to conduct the subsequent optimization search. The …
Recursive Subspace-Based Model Refinement Method For Digital Twin Of Thermal Power Unit, Yanbo Zhao, Yuanli Cai, Huaizhong Hu
Recursive Subspace-Based Model Refinement Method For Digital Twin Of Thermal Power Unit, Yanbo Zhao, Yuanli Cai, Huaizhong Hu
Journal of System Simulation
Abstract: Due to factors such as simplified assumptions or equipment characteristic deviation, modeling errors are inevitable in the mechanism modeling of thermal power units. To deal with the problem, this paper proposes a novel model refinement method based on recursive subspace for the digital twin of thermal power units. Firstly, the digital twin models are built based on mechanism analysis and combined with small sample data of typical conditions, ensuring interpretability and generalization performance. Secondly, based on the recursive subspace identification method, the refinement model is built and updated online in real time to compensate for the modeling error, improving …