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International Joint Conference on Neural Networks (IJCNN)

作者： Matheus Henrique Dal Molin Ribeiro Ramon Gomes da Silva Cristiane Canton Naylene Fraccanabbia Viviana Cocco Mariani Leandro dos Santos Coelho Industrial & Systems Engineering Graduate Program (PPGEPS) Pontifical Catholic University of Parana (PUCPR) Curitiba Parana Brazil Department of Mathematics Federal Technological University of Parana (UTFPR) Pato Branco Parana Brazil Pato Branco University Center (UNIDEP) Pato Branco Parana Brazil Mechanical Engineering Graduate Program (PPGEM) Pontifical Catholic University of Parana (PUCPR) Curitiba Parana Brazil Department of Electrical Engineering Federal University of Parana (UFPR) Curitiba Parana Brazil

ISBN: (数字)9781728169262

ISBN: (纸本)9781728169279

The development of accurate models to forecast electricity energy prices is a challenge due to the number of factors which can affect this commodity. In this paper, a hybrid multi-stage approach is proposed to forecast multi-stepahead (one, two and three-month-ahead) Brazilian commercial and residential electricity energy prices. The proposed data analysis combines the pre-processing named complementary ensemble empirical mode decomposition (CEEMD) in the first stage coupled with the coyote optimization algorithm (COA) to define the CEEMD's hyperparameters, aiming to deal with time series non-linearities and enhance the model's performance. On the next stage, four machine learning models named extreme learning machine, Gaussian process, gradient boosting machine, and relevance vector machine are employed to train and predict the CEEMD's components. Finally, in the final stage, the results of the previous step are directly integrated to compose a heterogeneous ensemble learning of components to obtain the final forecasts. In this case, a grid of models is obtained. The best model is one that has better generalization out-of-sample. Through developed comparisons, results showed that combining COA-CEEMD with a heterogeneous ensemble learning can develop accurate forecasts. The modeling developed in this paper is promising and can support decision making in electricity energy price forecasting.

关键词： Predictive models Biological system modeling Forecasting Data models Optimization Empirical mode decomposition

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A review of automatic solar tracking systems

引用

Journal of Physics: Conference Series 2021年第1期2051卷

作者： A Mohamad H Mhamdi NAM Amin M Izham NA Aziz SY Chionh Mechanical Engineering Program Faculty of Mechanical Engineering Technology Universiti Malaysia Perlis Perlis Malaysia Laboratory of Electronic Systems Information Processing Mechanics and Energetics Faculty of Sciences University Ibn Tofail Kenitra Morocco Institute of Engineering Mathematics Faculty of Applied Sciences and Humanities Universiti Malaysia Perlis Perlis Malaysia

Solar tracking systems which can track the Sun movement can increase the power generation rate by maximizing the surface area of the solar panels that are exposed to the sunlight. By utilizing a solar tracker, the number of solar panels needed to generate the same amount of electrical energy will be significantly lower. In general, solar tracking systems are classified as single-axis solar tracking systems and dual-axis solar tracking systems. Several researchers had conducted both simulation and experimental work to compare and evaluate the performance of solar tracking systems against static solar panels systems, as well as between different solar tracking system mechanisms. General agreements among the researchers are that the performance of solar tracking systems is always exceeding that of static solar panels. Some researchers also conducted studies on how the weather conditions affect the performance of solar panels, and they concluded that the systems with tracking mechanisms are more resilient toward a variation of weather conditions.

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Corrigendum: Moving Next-Generation Phase-Field Models to BMS Applications -A Case Study that Confirms Professor Uzi Landau's Foresight [J. Electrochem. Soc., 171, 063507 (2024)]

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Journal of The Electrochemical Society 2024年第8期171卷 089002-089002页

作者： Tushar K. Telmasre Anthony César Concepción Suryanarayana Kolluri Lubhani Mishra Raghav S. Thiagarajan Aditya Naveen Matam Akshay Subramaniam Taylor R. Garrick Venkat R. Subramanian Materials Science and Engineering Program Texas Materials Institute The University of Texas at Austin Austin TX 78712 United States of America Walker Department of Mechanical Engineering The University of Texas at Austin Austin TX 78712 United States of America Battery Materials and Systems Research General Motors Global Research and Development Center Warren MI 48090 United States of America Chandra Department of Electrical and Computer Engineering The University of Texas at Austin Austin TX 78712 United States of America Energy Storage and Propulsion R&D and Manufacturing Engineering General Motors Technical Center Warren MI 48092 United States of America Affiliate Faculty Oden Institute for Computational Science and Engineering The University of Texas at Austin Austin TX 78712 United States of America

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Application of Emerging Innovations in Microbiome Science to Space Development and Settlement systems 73

Application of Emerging Innovations in Microbiome Science to...

引用

73rd International Astronautical Congress, IAC 2022

作者： Nastasi, Nicholas Anderson, Matthew Z. Balasubrahmaniam, Neeraja Bope, Ashleigh Britt, Rodney D. Cochran, Samuel J. Gill, Samuel J. Hegarty, Bridget Lee, Jiyoung Stamps, Blake W. Stickney, Amanda Taylor, Christopher G. Tram, Nguyen K. Van Dusen, John Varaljay, Vanessa A. Weir, Mark H. Horack, John M. Oglesbee, Michael Sullivan, Matthew B. Dannemiller, Karen C. Department of Civil Environmental & Geodetic Engineering Ohio State University ColumbusOH United States Division of Environmental Health Sciences College of Public Health Ohio State University ColumbusOH United States Environmental Sciences Graduate Program Ohio State University ColumbusOH United States Department of Microbiology College of Arts and Sciences Ohio State University ColumbusOH United States Department of Microbial Infection and Immunity Ohio State University ColumbusOH United States Center for Perinatal Research The Abigail Wexner Research Institute Nationwide Children's Hospital Department of Pediatrics Ohio State University ColumbusOH United States Department of Civil and Environmental Engineering Case School of Engineering Case Western Reserve University ClevelandOH United States Department of Food Science and Technology Ohio State University ColumbusOH United States Infectious Diseases Institute Ohio State University ColumbusOH United States Soft Matter Materials Branch Materials and Manufacturing Directorate Air Force Research Laboratory Wright - Patterson AFBOH United States Department of Plant Pathology College of Food Agriculture and Environmental Science Ohio State University ColumbusOH United States Department of Anesthesiology & Pain Medicine Nationwide Children's Hospital ColumbusOH United States Airman Systems Directorate 711th Human Performance Wing Air Force Research Laboratory WPAFBOH United States Sustainability Institute Ohio State University ColumbusOH United States Department of Mechanical and Aerospace Engineering College of Engineering John Glenn College of Public Affairs Ohio State University ColumbusOH United States Department of Veterinary Biosciences College of Veterinary Medicine Ohio State University ColumbusOH United States Center of Microbiome Science Ohio State University ColumbusOH United States

Future human spaceflight beyond low-Earth orbit will bring substantial changes and new requirements to the development of fully sustainable, healthy indoor human environments across a range of gravitational, radiative, and thermal conditions. One key aspect is understanding (and potentially leveraging) microorganisms that must coexist with humans, plants, and animals in enclosed habitats (their microbiota or microbiomes). Modern, genome-resolved microbiome science provides an opportunity to better understand how we can utilize microbes to optimize space missions and protect human health and well-being long-term. Microorganisms will be critical to mission success due to their direct or indirect interactions with 1) humans, 2) other living systems (e.g., plant and animal life as a food source and for experimentation), and 3) the built environment. For example, the human gut microbiome is a complex community that has important implications for human health and performance that include mental health, nutrition intake, and immune system function. The health of plant microbiomes is also critical for sustainable, dependable, and nutritious food production. Humans, plants, and other living systems (e.g., animals used in experimentation) will also shed microbes into the built environment, which may impact human exposure, plant health, system integrity, and planetary protection from microbial contamination in both forward and reverse directions. Microbes from all three systems will interact, resulting in potentially important 'non-linear' system implications that must be understood for the overall long-term sustainability of hardware, crew, and other living systems. This paper discusses recent advances in technology that expand measurement capabilities to ultra-low-biomass samples and now allow for better understanding of microbial taxa, community structure and drivers, and functional capacity, which together will empower microbiome-optimized deep-space human exploration miss

关键词： Bacteria

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SYNAPTIC SPINE HEAD MORPHODYNAMICS FROM GRAPH GRAMMAR RULES FOR ACTIN DYNAMICS

arXiv

引用

arXiv 2025年

作者： Hur, Matthew Bartol, Thomas Rangamani, Padmini Sejnowski, Terrence Mjolsness, Eric Program in Mathematical Computational and Systems Biology Univeristy of California Irvine IrvineCA United States Computational Neurobiology Laboratory Salk Institute for Biological Studies La Jolla CA United States Departments of Pharmacology and Mechanical and Aerospace Engineering University of California San Diego La Jolla CA United States Deparment of Neurobiology University of California San Diego La Jolla CA United States Departments of Computer Science and Mathematics Univeristy of California Irvine IrvineCA United States

There is a morphodynamic component to synaptic learning by which changes in dendritic (postsynaptic) spine head size are associated with the strengthening or weakening of the synaptic connection between two neurons, in response to the temporal correlation of local presynaptic and postsynaptic signals. These morphological factors are in turn sculpted by the dynamics of the actin cytoskeleton. In this paper, we use Dynamical Graph Grammars (DGGs) implemented within a computer algebra system to model how networks of actin filaments can dynamically grow or shrink, reshaping the spine head. Dynamical Graph Grammars (DGGs) provide a well-defined way to accommodate dynamically changing system structure such as active cytoskeleton represented using dynamic graphs, within nonequilibrium statistical physics under the master equation. We show that DGGs can also incorporate biophysical forces between graph-connected objects at a finer time scale, with specialized DGG kinetic rules obeying biophysical constraints of Galilean invariance, conservation of momentum, and dissipation of conserved global energy. We use graph-local energy functions for cytoskeleton networks interacting with membranes, and derive DGG rules from the specialization of dissipative stochastic dynamics - separated into dissipative and thermal noise rule types - to a mutually exclusive and exhaustive collection of graph-local neighborhood types for the rule left hand sides. The dissipative rules comprise a stochastic version of gradient descent dynamics. The thermal noise rules use a Gaussian approximation of each position coordinate to sample jitter-like displacements. For the spine head model we designed and implemented DGG grammar mathematical sub-models including actin network growth, non-equilibrium statistical mechanics, and filament-membrane mechanical interaction to regulate the re-writing of graph objects. We simulate emergent biophysics of simplified networks of actin polymers and their interactions

关键词： Stochastic models

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The evolution of lithium-ion battery recycling

Nature Reviews Clean Technology

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Nature Reviews Clean Technology 2025年第1期1卷

作者： Xiaotu Ma Zifei Meng Yan Wang Marilena Velonia Bellonia Jeffrey Spangenberger Gavin Harper Eric Gratz Elsa Olivetti Renata Arsenault Mechanical and Materials Engineering Department Worcester Polytechnic Institute Worcester MA USA Technology and Policy Program Institute for Data Systems and Society Massachusetts Institute of Technology Cambridge MA USA ReCell Center Argonne National Laboratory Lemont IL USA School of Metallurgy and Materials University of Birmingham Birmingham UK The Faraday Institution Harwell Science and Innovation Campus Didcot UK Ascend Elements Inc. Westborough MA USA Department of Materials Science and Engineering Massachusetts Institute of Technology Cambridge MA USA Ford Ion Park Battery Center of Excellence Romulus MI USA

Demand for lithium-ion batteries (LIBs) is increasing owing to the expanding use of electrical vehicles and stationary energy storage. Efficient and closed-loop battery recycling strategies are therefore needed, which will require recovering materials from spent LIBs and reintegrating them into new batteries. In this Review, we outline the current state of LIB recycling, evaluating industrial and developing technologies. Among industrial technologies, pyrometallurgy can be broadly applied to diverse electrode materials but requires operating temperatures of over 1,000 °C and therefore has high energy consumption. Hydrometallurgy can be performed at temperatures below 200 °C and has material recovery rates of up to 93% for lithium, nickel and cobalt, but it produces large amounts of wastewater. Developing technologies such as direct recycling and upcycling aim to increase the efficiency of LIB recycling and rely on improved pretreatment processes with automated disassembly and cleaner mechanical separation. Additionally, the range of materials recovered from spent LIBs is expanding from the cathode materials recycled with established methods to include anode materials, electrolytes, binders, separators and current collectors. Achieving an efficient recycling ecosystem will require collaboration between recyclers, battery manufacturers and electric vehicle manufacturers to aid the design and automation of battery disassembly lines.

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Formation Flying Techniques for the Virtual Telescope for X-Ray Observations

arXiv

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arXiv 2020年

作者： Kyle, Rankin Neerav, Shah John, Krizmanic Steven, Stochaj Asal, Naseri Department of Mechanical and Aerospace Engineering New Mexico State University United States Goddard Space Flight Center NASA United States CRESST NASA GSFC University of Maryland Baltimore County United States Klipsch School of Electrical and Computer Engineering New Mexico State University United States Program Manage/Systems Engineer Space Dynamics Laboratory

The Virtual Telescope for X-Ray Observations (VTXO) is an Astrophysics SmallSat mission being developed to demonstrate 10-milliarcsecond X-ray imaging using a Phase Fresnel Lense (PFL)-based space telescope. PFLs promise to provide several orders of magnitude improvement in angular resolution over current state of the art X-ray optics. However, PFLs for astronomical applications requires a very long focal length, for VTXO the focal length is estimated to be in the range of 0.5 km to 4 km. Since these focal lengths are not feasible on a single spacecraft, the proposed solution is to use two separate spacecraft, one with the lense(s), and the second with an X-ray camera. These two spacecrafts will then fly in a formation approximating a single rigid telescope. In order to achieve this configuration, the two spacecraft must maintain the formation a focal length distance apart, with centimeter level control, and sub-millimeter level knowledge requirements. Additionally, for the telescope to achieve sufficient exposure time, the system must keep the telescope axis pointed at a fixed target on the celestial sphere for durations on the order of a few hours. VTXO’s system architecture calls for two CubeSats to operate in a highly eccentric Earth orbit with one of the spacecraft’s traveling on a natural keplarian orbit. The second spacecraft will then fly on a "pseudo" orbit maintaining a fixed offset relative to the celestial sphere during observations. Observations with this system will occur near apogee where differential forces on the spacecrafts are minimal which in turn minimizes fuel consumption. The "pseudo" orbit where the second spacecraft is located is not quite a stable orbit requiring small continuous propulsion to maintain formation. This paper and presentation will overview VTXO’s system architecture, additionally it will look in depth at the formation flying techniques, including fuel consumption, and methods for establishing, and maintaining the formation. B

关键词： Orbits

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Retraction notice to “Multi-attribute optimization of sustainable aviation fuel production-process from microalgae source” [Fuel 324(Part C) (2022) 124759]

引用

Fuel 2025年 391卷

作者： Zafar Said Tuan Hai Nguyen Prabhakar Sharma Changhe Li Hafiz Muhammad Ali Van Nhanh Nguyen Van Viet Pham Shams Forruque Ahmed Dong Nguyen Van Thanh Hai Truong Department of Sustainable and Renewable Energy Engineering University of Sharjah Sharjah P. O. Box 27272 United Arab Emirates U.S.-Pakistan Center for Advanced Studies in Energy (USPCAS-E) National University of Sciences and Technology (NUST) Islamabad Pakistan Faculty of Technology Dong Nai Technology University Dong Nai 76000 Viet Nam Mechanical Engineering Department Delhi Skill and Entrepreneurship University Delhi 110089 India School of Mechanical and Automotive Engineering Qingdao University of Technology Qingdao 266520 China Mechanical Engineering Department King Fahd University of Petroleum & Minerals Dhahran 31261 Saudi Arabia Interdisciplinary Research Center for Renewable Energy and Power Systems (IRC-REPS) King Fahd University of Petroleum and Minerals Dhahran 31261 Saudi Arabia Institute of Engineering HUTECH University Ho Chi Minh City Viet Nam Faculty of Marine Engineering Vietnam Maritime University Haiphong Viet Nam Science and Math Program Asian University for Women Chattogram 4000 Bangladesh University of Science and Technology The University of Danang Viet Nam PATET Research Group Ho Chi Minh City University of Transport Ho Chi Minh City Viet Nam

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Correction to: The formation of new (Al, Zn)3Zr precipitates in an Al–Zn–Mg–Cu aluminum alloy after aging treatment and their response to dynamic compression

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Archives of Civil and mechanical engineering 2022年第1期23卷 1-1页

作者： Khan, Muhammad Abubaker Wang, Yangwei Afifi, Mohamed A. Tabish, Mohammad Hamza, Muhammad Yasin, Ghulam Ahmad, Tahir Liao, Wei-Bing College of Physics and Optoelectronic Engineering Shenzhen University Shenzhen China School of Materials Science and Engineering Beijing Institute of Technology Beijing China Mechanical Engineering Program School of Engineering and Applied Sciences Nile University Giza Egypt Smart Engineering Systems Research Centre (SESC) Nile University Giza Egypt School of Materials Science and Engineering Beijing University of Chemical Technology Beijing China Institute of Advanced Materials Bahauddin Zakariya University Multan Pakistan Department of Metallurgy and Materials Engineering College of Engineering and Emerging Technologies University of the Punjab Lahore Pakistan

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Leveraging viscous peeling in soft actuators and reconfigurable microchannel networks

arXiv

引用

arXiv 2019年

作者： Salem, Lior Gamus, Benny Or, Yizhar Gat, Amir D. Technion Autonomous Systems Program Technion − Israel Institute of Technology Haifa Israel Faculty of Mechanical Engineering Technion − Israel Institute of Technology Haifa Israel

The research fields of microfluidics and soft robotics both involve complex small-scale internal channel networks, embedded within a solid structure. This work examines leveraging viscous peeling as a mechanism to create and activate soft actuators and microchannel networks, including complex elements such as valves, without the need for fabrication of structures with micron-scale internal cavities. We consider configurations composed of an internal slender structure embedded within another elastic solid. Pressurized viscous fluid is introduced into the interface between the two solids, thus peeling the two elastic structures and creating internal cavities. Since the gap between the solids is determined by the externally applied pressure, the characteristic size of the fluidic network may vary in time and be much smaller than the resolution of the fabrication method. This work presents a model for the highly nonlinear elastic-viscous dynamics governing the flow and deformation of such configurations. Fabrication and experimental demonstrations of micron-scale valves and channel-networks created from millimeter scale structures are presented, as well as the transient dynamics of viscous peeling based soft actuators. The experimental data is compared with the suggested model, showing very good agreement. Copyright © 2019, The Authors. All rights reserved.

关键词： Microchannels

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