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Unsupervised Complex Condition Recognition Based On Stochastic Neighborhood Embedding, Lin Huang, Shanjun Liu, Wei Wang, Li Gong 2024 Ship Comprehensive Test and Training Base Simulation training center, Navy University of Engineering, Wuhan 430033, China

Unsupervised Complex Condition Recognition Based On Stochastic Neighborhood Embedding, Lin Huang, Shanjun Liu, Wei Wang, Li Gong

Journal of System Simulation

Abstract: Modern industrial production equipment usually has a complex structure and runs alternately in different working conditions. Accurate working conditions identification based on monitoring data is the basis of health monitoring of the system, but the monitoring data of the system usually has a high dimension and a large data volume. To identify the complex equipment operating conditions, an unsupervised operating condition identification method based on stochastic neighborhood embedding is proposed. The stochastic neighborhood embedding algorithm can simultaneously preserve the local and global structural characteristics of the data, and also calculate the probability similarity of data points in high-dimensional and …


Hybrid Flow Shop Scheduling With Limited Buffers Considering Energy Consumption And Transportation, Tingxin Wen, Tingyu Guan 2024 School of Business Administration, Liaoning Technical University, Huludao 125105, China

Hybrid Flow Shop Scheduling With Limited Buffers Considering Energy Consumption And Transportation, Tingxin Wen, Tingyu Guan

Journal of System Simulation

Abstract: Aiming at the untimely production scheduling and excessive energy consumption during processing, a limited buffer hybrid flow shop scheduling optimization model is constructed. To minimize the makespan and total energy consumption of the workshop, the transport time, generalized energy consumption and buffer capacity being the constraints, and the on/off energy saving strategy applied to reduce the standby energy consumption, the feasibility of the optimization model are verified. A lion swarm optimization algorithm is designed, in which a population initialization method combining random generation and greedy selection is used to improve the initial solution quality and solution efficiency, the lion …


Development And Application Of Simulation Platform For Aquatic Movement Of An Amphibious Armored Vehicle, Mingzhe Chen, Yunzheng Song, Pei Wang, Lei Zhang 2024 School of Physics and Electronics, Heʹnan University, Kaifeng 475004, China

Development And Application Of Simulation Platform For Aquatic Movement Of An Amphibious Armored Vehicle, Mingzhe Chen, Yunzheng Song, Pei Wang, Lei Zhang

Journal of System Simulation

Abstract: In order to design and verify the fire control system(FCS) algorithm of amphibious assault vehicle under heavy wind and wave conditions, a real-time simulation platform is developed. The traditional single rigid body dynamic model can't describe the body-turret-barrel dynamic coupling relationship and it is not suitable for FCS simulation with high dynamic characteristics. Twist-wrench method is used to establish the multiple rigid body dynamic model of vehicle, the buoyancy and the hydrodynamic calculation is carried out according to the body and the moving relationship between visual generated waves, and the hydrodynamic coefficient is obtained by the computational fluid dynamic …


Application Of Driving Simulation Technology In Calibration Of Traffic Simulation Parameters, Shikun Liu, Yi Tang, Yonghong Liu 2024 School of Intelligent Systems Engineering, Shenzhen Campus of Sun Yat-sen University, Shenzhen 518107, China; Guangdong Provincial Key Laboratory of Intelligent Transportation System, Shenzhen 518107, China

Application Of Driving Simulation Technology In Calibration Of Traffic Simulation Parameters, Shikun Liu, Yi Tang, Yonghong Liu

Journal of System Simulation

Abstract: To address the insufficient accuracy in traffic simulation modeling due to the lack of in-depth consideration of complex driving behaviors, a calibration method for traffic simulation parameters based on driving simulation technology is proposed. The reconstruction and expansion project of Shenzhen Bao'an International Airport Expressway is selected as the case. Using VISSIM simulation software, a comprehensive traffic simulation model of the entire route is constructed, and UC-winRoad software is employed to create the highly realistic driving simulation scenarios. Driving simulation experiments are conducted to extract the typical driving behavior characteristics in complex scenarios. Calibration functions for simulation parameters are …


Analysis Of Cost And Time Efficiency In Container Distribution Between Container Truck And Freight Train From Industrial Area To Port, Indah Imayanti, Sutanto Soehodho, Nahry Yusuf 2024 Universitas Indonesia

Analysis Of Cost And Time Efficiency In Container Distribution Between Container Truck And Freight Train From Industrial Area To Port, Indah Imayanti, Sutanto Soehodho, Nahry Yusuf

Smart City

Jakarta International Container Terminal (JICT) in Tanjung Priok Port , which serves export and import containers, can serve up to 5500 TEUs daily. However, no more than 1% of the total containers are transported by freight trains, meaning that 99% of container distribution from industrial areas is carried by trailer trucks. This condition causes a long queue at the container terminal entrance, resulting in delays in the services as well. Currently, Tanjung Priok Port is connected to rail transportation from Cikarang dry port with the frequency of twice a day with 30 flatcars (FC) for each trip. The capacity of …


Economic Planning And Operation Of Ev Charging Infrastructure Participating In Electric Power Markets, Diwas Paudel 2024 University of South Florida

Economic Planning And Operation Of Ev Charging Infrastructure Participating In Electric Power Markets, Diwas Paudel

USF Tampa Graduate Theses and Dissertations

As electric vehicles (EVs) are becoming more common, there are not enough charging infrastructures to keep up with the projected EV charging demands. This necessitates investment from private enterprises in the charging infrastructure, along with additional government investments, to support the expected EV growth. The profit potential of the EV charging business will be crucial in attracting private enterprises to invest in the infrastructure. The profitability of these infrastructures depends on their location and effective operation. The charging infrastructure needs to be strategically placed and sized in the service area of interest. Once built, they need a robust strategy to …


Transforming Organizational Cyber Security With Artificial Intelligence And Data-Driven Optimization, Soumyadeep Hore 2024 University of South Florida

Transforming Organizational Cyber Security With Artificial Intelligence And Data-Driven Optimization, Soumyadeep Hore

USF Tampa Graduate Theses and Dissertations

This dissertation presents a comprehensive framework for enhancing organizational cybersecurity through data-driven intelligence. The research integrates multiple methodologies to tackle challenges in network intrusion detection and vulnerability management within cybersecurity operations centers (CSOCs). First, the research investigates vulnerability prioritization and mitigation techniques currently employed by CSOCs. To further streamline the vulnerability prioritization and mitigation process a machine learning (ML)-based Vulnerability Priority Scoring System (VPSS) is introduced, significantly improving the prioritization and mitigation of context-sensitive vulnerabilities. The VPSS outperforms traditional methods, reducing the cumulative vulnerability exposure score by up to 30% by considering both organizational context and vulnerability severity. Next, the …


A Robust Data-Driven Framework For Artificial Intelligent Systems, Quoc H. Nguyen 2024 University of South Florida

A Robust Data-Driven Framework For Artificial Intelligent Systems, Quoc H. Nguyen

USF Tampa Graduate Theses and Dissertations

Artificial Intelligence (AI) systems have demonstrated remarkable performance across various domains. However, their robustness remains a critical concern, particularly in terms of data and model reliability. This dissertation aims to address the challenges associated with building robust AI systems by focusing on two key aspects: data robustness and model robustness. Data robustness poses significant challenges, including data shift, concept shifting, limited and imbalanced datasets, and interoperability issues in IoT systems for data collection. Existing methods fall short in handling dynamic business objectives and evolving data landscapes effectively. To bridge these gaps, we propose an IoT framework that ensures interoperability, seamless …


Spectral Behavior Of Fiber Bragg Gratings During Embedding In 3d-Printed Metal Tensile Coupons And Cyclic Loading, Farid Ahmed, Md Shahriar Forhad, Mahmudul Hasan Porag 2024 The University of Texas Rio Grande Valley

Spectral Behavior Of Fiber Bragg Gratings During Embedding In 3d-Printed Metal Tensile Coupons And Cyclic Loading, Farid Ahmed, Md Shahriar Forhad, Mahmudul Hasan Porag

Manufacturing & Industrial Engineering Faculty Publications

Additive manufacturing (AM) enables the spatially configurable 3D integration of sensors in metal components to realize smart materials and structures. Outstanding sensing capabilities and size compatibility have made fiber optic sensors excellent candidates for integration in AM components. In this study, fiber Bragg grating (FBG) sensors were embedded in Inconel 718 tensile coupons printed using laser powder bed fusion AM. On-axis (fiber runs through the coupon’s center of axis) and off-axis (fiber is at 5° and 10° to the coupon’s center of axis) sensors were buried in epoxy resin inside narrow channels that run through the coupons. FBGs’ spectral evolutions …


How Ai And Digitalization Can Help To Improve Managing Projects In Lean Manufacturing & Supply Chain Environment, Abhijeet Hange 2024 Harrisburg University of Science and Technology

How Ai And Digitalization Can Help To Improve Managing Projects In Lean Manufacturing & Supply Chain Environment, Abhijeet Hange

Harrisburg University Dissertations and Theses

This research examines how digitalization and machine learning (ML) revolutionize project management in supply chain and lean manufacturing settings. To improve the efficiency and caliber of their operational procedures, Acuity Brands, Amazon, Walmart, Apple, and other medium-sized businesses—which are at the center of today's competitive markets—are resorting to automation and digitalization. With an emphasis on the fusion of digital and artificial intelligence (AI), the paper explores how successful transformation initiatives are essential to the automation and digitization of manufacturing and distribution hubs. The study uses quantitative methods approach to evaluate the benefits and drawbacks of these technology integrations by integrating …


Comparing Life-Cycle Dynamics Of Li-Ion Batteries (Libs) Clustered By Operating Conditions With Sindy, Kristen L. Hallas, Md Shahriar Forhad, Tamer Oraby, Benjamin Peters, Jianzhi Li 2024 The University of Texas Rio Grande Valley

Comparing Life-Cycle Dynamics Of Li-Ion Batteries (Libs) Clustered By Operating Conditions With Sindy, Kristen L. Hallas, Md Shahriar Forhad, Tamer Oraby, Benjamin Peters, Jianzhi Li

Manufacturing & Industrial Engineering Faculty Publications

Lithium-ion batteries (LIBs) play a big part in the vision of a net-zero emission economy, yet it is commonly reported that only a small percentage of LIBs are recycled worldwide. An outstanding barrier to making recycling LIBs economical throughout the supply chain pertains to the uncertainty surrounding their remaining useful life (RUL). How do operating conditions impact initial useful life of the battery? We applied sparse identification of nonlinear dynamics method (SINDy) to understand the life-cycle dynamics of LIBs with respect to sensor data observed for current, voltage, internal resistance and temperature. A dataset of 124 commercial lithium iron phosphate/graphite …


Using Sustainable Technique To Recycle Waste Paper In Academic Institutions, Mustafa M. Mansour 2024 Department of Mechanical engineering, College of engineering, University of Thi-Qar, Thi-Qar, 64001, Iraq

Using Sustainable Technique To Recycle Waste Paper In Academic Institutions, Mustafa M. Mansour

Al-Bahir

It has been clearly demonstrated that it would be feasible to consider recycling paper in an academic institution. This can be achieved through combining specific waste paper baskets, a pulping machine and power supplied by a renewable energy source, with an already established local paper making company. The paper making company would be able to gain a subsidy from the government which pays them to actually recycle paper, to counteract the cost of the pulped paper which is 30% more expensive than raw wood pulp. The academic institution would save money on waste disposal and decrease its carbon footprint by …


A Screening Life Cycle Analysis Of One-Way And Reusable Crate Designs – Estimating Environmental Impacts Via Lca Software, Nicolas R. Corona 2024 California Polytechnic State University

A Screening Life Cycle Analysis Of One-Way And Reusable Crate Designs – Estimating Environmental Impacts Via Lca Software, Nicolas R. Corona

Master's Theses

A comparison analysis conducted via COMPASS life cycle analysis software has indicated that a one-way crate design, rather than a reusable crate design, is in fact the more environmentally friendly packaging system. These results can be interpreted differently, however, as the manufacturer of said crate designs must confirm what impact indicators they would like to reference as environmental goalposts. The conducted analysis provides insight into what the environmental impacts of each packaging system look like as packaging at all three system levels has been identified as a means of reducing environmental impacts globally. As such, the manufacturer of said crate …


Predicting Rheology Of Uv-Curable Nanoparticle Ink Components And Compositions For Inkjet Additive Manufacturing, Cameron D. Lutz 2024 California Polytechnic State University, San Luis Obispo

Predicting Rheology Of Uv-Curable Nanoparticle Ink Components And Compositions For Inkjet Additive Manufacturing, Cameron D. Lutz

Master's Theses

Inkjet additive manufacturing is the next step toward ubiquitous manufacturing by enabling multi-material printing that can exhibit various mechanical, electronic, and thermal properties. These characteristics are realized in the careful formulation of the inks and their functional materials, but there are many constraints that need to be satisfied to allow optimal jetting performance and build quality when used in an inkjet 3-D printer. Previous research has addressed the desirable rheology characteristics to enable stable drop formation and how the metallic nanoparticles affect the viscosity of inks. The contending goals of increasing nanoparticle-loading to improve material deposition rates while trying to …


Smart Manufacturing For Cal Poly's Ime Curriculum, Grace L. Guarraia, Eric F. Ledesma 2024 California Polytechnic State University, San Luis Obispo

Smart Manufacturing For Cal Poly's Ime Curriculum, Grace L. Guarraia, Eric F. Ledesma

Industrial and Manufacturing Engineering

California Polytechnic State University, San Luis Obispo (Cal Poly) takes pride of supporting one of the nation’s strongest undergraduate Industrial and Manufacturing Engineering programs. However, as industry evolves to accommodate advancing computing power, improved manufacturing algorithms, and improved robotics, it is imperative that Cal Poly’s curriculum evolves in parallel. Smart manufacturing is the future of the manufacturing industry, and Cal Poly is searching for the ideal method to teach and integrate Smart Manufacturing into its classes. With its upcoming switch to the semester system, coupled with its “Learn by Doing” motto, the department is at an ideal period for the …


Analysis Of Rural Broadband Adoption Dynamics: A Theory-Driven Agent-Based Model, Ankit Agarwal, Casey Canfield 2024 Missouri University of Science and Technology

Analysis Of Rural Broadband Adoption Dynamics: A Theory-Driven Agent-Based Model, Ankit Agarwal, Casey Canfield

Engineering Management and Systems Engineering Faculty Research & Creative Works

Demand for broadband internet has far outpaced its availability. In addition, the "new normal" imposed by the COVID-19 pandemic has further disadvantaged unserved and underserved areas. To address this challenge, federal and state agencies are funding internet service providers (ISPs) to deploy broadband infrastructure in these areas. To support goals to provide broadband service to as many people as possible as quickly as possible, policymakers and ISPs may benefit from better tools to predict take rates and formulate effective strategies to increase the adoption of high-speed internet. However, there is typically insufficient data available to understand consumer attitudes. We propose …


Waste Illuminates Worlds: Printed Modular Lamp Design Based On Brick And Clay Tile, Yechen Zhu 2024 Rhode Island School of Design

Waste Illuminates Worlds: Printed Modular Lamp Design Based On Brick And Clay Tile, Yechen Zhu

Masters Theses

The building industry in the New England area is often in a state of entropy, with abandoned brick buildings contributing to urban decay. The recycling rate of brick and clay tile wastes generated by construction and demolition is only 12.2%, meaning the majority is sent to landfills. The expansion of landfills can lead to significant environmental and community challenges, including increased traffic from waste transport, habitat destruction, ecosystem degradation, and contributions to climate change. Specifically, the Bethlehem landfill in New Hampshire, which is planned to undergo a 5.71-acre lateral expansion through 2026, has already encountered issues such as leachate spills …


Barcode Medication Administration (Bmca): 2023-24, Krishan R. Patel, Carlos E. Sosa, Mary Grace Sy 2024 California Polytechnic State University, San Luis Obispo

Barcode Medication Administration (Bmca): 2023-24, Krishan R. Patel, Carlos E. Sosa, Mary Grace Sy

Industrial and Manufacturing Engineering

The Barcode Medication Administration is an important system implemented within a hospital. It is the process in which nurses and other healthcare professionals prescribe and distribute medication to the patients. It aids in organizing which patient got prescribed which medication from which doctor and provides records on who was given care by who. The whole BCMA system is a multi-step process from getting the medication prescribed, to the nurses having to pick up the medication from the medication cabinet, and then having to scan the patient and the medication to finally administer medications.

The current BCMA system implemented at the …


Effective And Sustainable Strategies For Federally Qualified Health Centers To Engage Young Adults, Olivia McNulty 2024 California Polytechnic State University, San Luis Obispo

Effective And Sustainable Strategies For Federally Qualified Health Centers To Engage Young Adults, Olivia Mcnulty

Master's Theses

Federally qualified health centers (FQHCs) are instrumental in providing top tier healthcare and other resources to underserved populations. Whether they administer services in house or refer patients to other providers, FQHCs aim to provide comprehensive primary and preventative care services to people of all ages. They offer a range of services, from doctor and dental appointments to mental health and substance abuse counseling, regardless of a patient’s insurance status. To receive funding, FQHCs must follow the regulations and quality standards set forth by groups like the Joint Commission on Accreditation of Healthcare Organizations (JCAHO) and the Health Resources and Services …


Exporting Sysml Designs To Simulink, Drew Q. Broadbent 2024 Air Force Institute of Technology

Exporting Sysml Designs To Simulink, Drew Q. Broadbent

Theses and Dissertations

Various software systems have been developed to aid a systems engineer in evaluating system requirements, such as Dassault’s Magic System of Systems Architect (MSOSA) and MathWorks’ Simulink. Both software packages have different strengths; therefore, it is beneficial to export models from one software package to another. MSOSA provides a built-in tool that facilitates this transfer, built upon the Extension for Physical Interaction and Signal Flow Simulation (SysPhS) standard. However, the process is often unreliable and error prone and online documentation is largely lacking. This research used extensive trial and error to fill in the documentation gaps and create a method …


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