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Digital Twins and Parallel Intelligence (DTPI), IEEE International Conference on

作者： Luis H. Favela Mary Jean Amon Department of Philosophy Cognitive Sciences Program University of Central Florida Orlando FL USA School of Modeling Simulation and Training University of Central Florida Orlando FL USA

In recent years, generative artificial intelligence (AI) in the form of large language models (LLM) have sparked the interest of society at large. The perceived capabilities of such systems have reignited discussions concerning the actual or potential threats posed by AI. According to Daniel Dennett, these systems make possible the creation of counterfeit people, who can pass as real in digital environments like social media. Dennett claims that by undermining trust in relationships, counterfeit people pose a threat to democracy and human freedom. While the idea of counterfeit people is worrisome in the context of digital manipulation, we claim that human digital twins have the potential to facilitate human rights violations that may pose even greater challenges. High-fidelity human digital twins necessitate encroaching into features that constitute a human’s personhood, such as physical aspects and mental contents. In view of that, their creation raises pressing issues of consent and violations of privacy rights. As a result, because rights to privacy are rights of persons, such violations will simultaneously be human rights violations. Even with consent to use an individual’s data, human digital twins may still cause issues of personhood. The rapid adoption of technologies that facilitate counterfeit people and human digital twins demands that ethical issues not be treated as aside concerns, but at the forefront of technology development.

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A framework for simulation-based task analysis - The development of a universal task analysis simulation model

A framework for simulation-based task analysis - The develop...

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IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA)

作者： Anastasia Angelopoulou Konstantinos Mykoniatis Waldemar Karwowski Modeling & Simulation Graduate Program University of Central Florida Orlando FL USA Dept. of Industrial Engineering and Management Systems University of Central Florida Orlando FL USA

Over the last decades there has been a growing interest in modeling human performance and analyzing human activity and human operator behavior to improve system design. A variety of tools and approaches which are based on task analysis methods and tools have been proposed. As technology advances and tasks become more demanding, human work changes increasing the need to create new methodologies and tools for task analysis to face the new challenges. The main aim of this research is to develop a new framework and model for simulation of human tasks performed by individuals with varying levels of skills, considering operator workload and human errors. In order to achieve this goal and fill the current gaps, a review of existing task analysis methods and tools is conducted and a model named UTASiMo is proposed. In addition, the Unified modeling Language is used to describe the conceptual model and illustrate the different constructs and concepts included in the model. Finally, we present a case study and a preliminary simulation model designed in AnyLogic TM .

关键词： Unified modeling language Analytical models Training Data models Conferences Decision making Human factors

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Assessing Media’s Representation of Frustration Towards Venezuelan Migrants in Colombia 16th

Assessing Media’s Representation of Frustration Towards Ven...

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16th International Conference on Social Computing, Behavioral-Cultural modeling and Prediction and Behavior Representation in modeling and simulation, SBP-BRiMS 2023

作者： Llinas, Brian Huseynli, Guljannat Frydenlund, Erika Palacio, Katherine Llinas, Humberto Padilla, Jose J. Computer Science Department Old Dominion University NorfolkVA United States Graduate Program of International Studies Old Dominion University NorfolkVA United States Virginia Modeling Analysis and Simulation Center Old Dominion University SuffolkVA United States Universidad del Norte Kilómetro 5 Vía Atlántico Puerto Colombia Colombia

ISBN: (纸本)9783031431289

This research utilizes statistical path modeling to examine the relationship between the number of Venezuelans migrating to Colombia due to economic collapse and the media's coverage of specific topics. We focus on media coverage expressing frustration regarding migration, infrastructure, government, and geopolitics. Our approach combines quantitative analysis of code frequencies from qualitative content analysis of 1,360 regional newspaper articles on migration-related issues. Our findings indicate that an increase in the Venezuelan population in Colombia leads to more negative media coverage of infrastructure impacts, such as hospitals and schools. This negative coverage, referred to as "frustration," indirectly contributes to increased coverage of infrastructure frustration. This suggests an opportunity for intervention by balancing media coverage to reduce the excessive use of negative language and stereotypes, potentially mitigating anti-migrant sentiment fueled by frustration towards infrastructure. Furthermore, we observe that as migration increases, coverage of frustration towards geopolitics decreases, while frustration towards the Colombian government rises. This shift may reflect a transition from contemplating the causes of migration to focusing on the humanitarian response (or lack thereof) by the host government in accommodating the new arrivals. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Artificial intelligence

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Combined Deep Learning and Classical Potential Approach for modeling Diffusion in UiO-66

Combined Deep Learning and Classical Potential Approach for ...

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2023 AIChE Annual Meeting

作者： Achar, Siddarth K. Wardzala, Jacob J. Bernasconi, Leonardo Zhang, Linfeng Johnson, J. Karl Department of Chemical & Petroleum Engineering University of Pittsburgh PittsburghPA15261 United States Computational Modeling & Simulation Program University of Pittsburgh PittsburghPA15260 United States Center for Research Computing Department of Chemistry University of Pittsburgh PittsburghPA15260 United States DP Technology Beijing100080 China AI for Science Institute Beijing100080 China

modeling of diffusion of adsorbates through porous materials with atomistic molecular dynamics (MD) can be a challenging task if the flexibility of the adsorbent needs to be included. This is because potentials need to be developed that accurately account for the motion of the adsorbent in response to the presence of adsorbate molecules. In this work, we show that it is possible to use accurate machine learning atomistic potentials for metal−organic frameworks in concert with classical potentials for adsorbates to accurately compute diffusivities though a hybrid potential approach. As a proof-of-concept, we have developed an accurate deep learning potential (DP) for UiO-66, a metal− organic framework, and used this DP to perform hybrid potential simulations, modeling diffusion of neon and xenon through the crystal. The adsorbate−adsorbate interactions were modeled with Lennard−Jones (LJ) potentials, the adsorbent−adsorbent interactions were described by the DP, and the adsorbent−adsorbate interactions used LJ cross-interactions. Thus, our hybrid potential allows for adsorbent−adsorbate interactions with classical potentials but models the response of the adsorbent to the presence of the adsorbate through near-DFT accuracy DPs. This hybrid approach does not require refitting the DP for new adsorbates. We calculated self-diffusion coefficients for Ne in UiO-66 from DFT-MD, our hybrid DP/LJ approach, and from two different classical potentials for UiO-66. Our DP/LJ results are in excellent agreement with DFT-MD. We modeled diffusion of Xe in UiO-66 with DP/LJ and a classical potential. Diffusion of Xe in UiO-66 is about a factor of 30 slower than that of Ne, so it is not computationally feasible to compute Xe diffusion with DFT-MD. Our hybrid DP−classical potential approach can be applied to other MOFs and other adsorbates, making it possible to use an accurate DP generated from DFT simulations of an empty adsorbent in concert with existing classical potentials for ads

关键词： Molecular dynamics

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Adaptive Cyber-Physical-Human Systems: Exploiting Cognitive modeling and Machine Learning in the Control Loop

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Insight 2018年第3期21卷 87-93页

作者： Madni, Azad M. Sievers, Michael Madni, Carla Conaway Program in the University of Southern California's Viterbi School of Engineering United States University of Southern California United States research in modeling and simulation humancomputer interface design embedded training United States

Cyber-physical-human (CPH) systems are purposeful arrangements of sensors, computers, communication devices, and humans to perform tasks that achieve specific mission objectives. These systems typically allow other systems, devices, and data streams to connect/disconnect as needed during mission execution. The roles of humans in CPH systems are quite varied. In adaptive CPH systems, humans collaborate with the cyber-physical elements to jointly accomplish tasks, and adapt to changing contexts to accomplish mission goals. Mutual adaptation based on prior knowledge, cognitive modeling, and online machine learning are key characteristics of adaptive CPH systems. This paper presents key challenges in realizing adaptive CPH systems. It discusses learning and adaptation, as well as human and CPS roles in adaptive CPH systems. It offers a functional (reference) architecture to inform and guide the development of adaptive CPH systems. It concludes with a discussion of research needed to advance the state-of-the-art of adaptive CPH systems. © 2018 by Azad M. Madni. Published and used by INCOSE with permission.

关键词： Man machine systems

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An analysis of the effects of position sensing errors on geometric pairing

An analysis of the effects of position sensing errors on geo...

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Spring simulation Interoperability Workshop 2007, 07 Spring SIW

作者： Schricker, Bradley C. Ford, Louis Janisz, Matthew AT and T Government Solutions Inc. 11301 Corporate Blvd. Orlando FL 32817 United States Icon Systems Inc. 3505 Lake Lynda 119 Orlando FL 32817 United States Department of Modeling and Simulation Technologies OneTESS program United States Applied Research Inc. 3452 Lake Lynda 250 Orlando FL 32817 United States

ISBN: (纸本)9781604239232

For a number of decades, among the most prevalent training media in the military has been Tactical Engagement simulation (TES) training. TES has allowed troops to train for practical missions in highly realistic combat environments without the associated risks involved with live weaponry and munitions. This has been possible because current TES has relied largely upon the Multiple Integrated Laser Engagement System (MILES) and similar systems for a number of years for direct-fire weapons, using a laser to pair the shooter to the potential target(s). Emerging systems, on the other hand, will use a pairing method called geometric pairing (geo-pairing), which uses a set of data about both the shooter and target, such as locations, weapon orientations, velocities, and weapon projectile velocities, nearby terrain to resolve an engagement. A previous paper [1] introduces various potential sources of error for a geo-pairing solution. This paper goes into greater depth regarding the impact of errors that originate within position sensing errors, beginning with a short introduction into the TES system (TESS). The next section will explain the characteristics of the position sensing hardware and software that may be used by a TESS followed by a mathematical analysis illustrating the impacts of errors within position data. A summary and conclusion containing recommendations will close this paper.

关键词： Errors

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A cyber-physical observer for fluidized bed chemical looping process development 12

A cyber-physical observer for fluidized bed chemical looping...

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12th International Conference on Fluidized Bed Technology, CFB 2017

作者： Shadle, Lawrence J. Bayham, Samuel Tucker, David Pezzini, Paolo Monazam, Esmail Weber, Justin Breault, Ronald Bryden, Mark National Energy Technology Laboratory 3610 Collins Ferry Rd. MorgantownWV26507-0880 United States Simulation Modeling and Decision Science Program Ames Laboratory U.S. Department of Energy Iowa State University 1620 Howe Hall AmesIA50011 United States REM Engineering Services Collins Ferry Rd. MorgantownWV26507-0880 United States

A cyber-physical observer (CPO) is under development to control the operations of a fluidized bed-chemical looping reactor (FB-CLR) pilot plant. The cyber-physical approach is a novel means to combine computational modeling with hardware to integrate complex components in a dynamic fashion. Experience from pilot plant operations is that control of the solids flows and bed inventories are often challenging and may result in the need to reload oxygen carrier particles multiple times during a weeklong test campaign. The solids transfer between process units in coupled fluidized bed systems cannot be simulated with sufficient speed or accuracy to identify slugging, choking, flooding, or the hysteresis events that can occur near incipient fluidization leading to flow disruption/reversal that upset process operations. The CPO is being designed to duplicate, or mirror, the multiphase flow system in real time hardware.

关键词： Fluidized beds

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Automating Care by Self-maintainability for Full Laboratory Automation

arXiv

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arXiv 2025年

作者： Ochiai, Koji Tahara-Arai, Yuya Kato, Akari Kaizu, Kazunari Kariyazaki, Hirokazu Umeno, Makoto Takahashi, Koichi Kanda, Genki N. Ozaki, Haruka Laboratory for Biologically Inspired Computing RIKEN Center for Biosystems Dynamics Research 6-7-1 Minatojima Minamimachi Chuo-ku Hyogo Kobe650-0047 Japan Bioinformatics Laboratory Institute of Medicine University of Tsukuba 1-1-1 Tennodai Ibaraki Tsukuba305-8577 Japan Ph.D. Program in Humanics School of Integrative and Global Majors University of Tsukuba 1-1-1 Tennodai Ibaraki Tsukuba305-8577 Japan Laboratory Automation Suppliers’ Association 2-1-8 Minatojima Minamimachi Chuo-ku Hyogo Kobe650-0047 Japan Cell Modeling and Simulation Group Exploratory Research Center on Life and Living Systems National Institutes of Natural Sciences 5-1 Higashiyama Myodaiji Aichi Okazaki444-8787 Japan Robotics Division YASKAWA Electric Corporation 2-1 Kurosaki Shiroishi Yahatanishi-ku Kitakyushu Fukuoka806-0004 Japan BAIKEIDO LLC 3-8-1 Asano Kokurakita-ku Kitakyushu Fukuoka802-0001 Japan Graduate School of Media and Governance Keio University 5322 Endo Fujisawa-shi Kanagawa252-0882 Japan Medical Research Laboratory Institute of Integrated Research Institute of Science Tokyo 1-5-45 Yushima Bunkyo-ku Tokyo113-8519 Japan Center for Artificial Intelligence Research University of Tsukuba 1-1-1 Tennodai Ibaraki Tsukuba305-8577 Japan

The automation of experiments in life sciences and chemistry has significantly advanced with the development of various instruments and AI technologies. However, achieving full laboratory automation, where experiments conceived by scientists are seamlessly executed in automated laboratories, remains a challenge. We identify the lack of automation in planning and operational tasks—critical human-managed processes collectively termed "care"—as a major barrier. Automating care is the key enabler for full laboratory automation. To address this, we propose the concept of self-maintainability (SeM): the ability of a laboratory system to autonomously adapt to internal and external disturbances, maintaining operational readiness akin to living cells. A SeM-enabled laboratory features autonomous recognition of its state, dynamic resource and information management, and adaptive responses to unexpected conditions. This shifts the planning and execution of experimental workflows, including scheduling and reagent allocation, from humans to the system. We present a conceptual framework for implementing SeM-enabled laboratories, comprising three modules—Requirement manager, Labware manager, and Device manager—and a Central manager. SeM not only enables scientists to execute envisioned experiments seamlessly but also provides developers with a design concept that drives the technological innovations needed for full automation. Copyright © 2025, The Authors. All rights reserved.

关键词： Information management

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Facile Anhydrous Proton Transport on Hydroxyl Functionalized Graphane

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Physical Review Letters 2017年第18期118卷 186101-186101页

作者： Abhishek Bagusetty Pabitra Choudhury Wissam A. Saidi Bridget Derksen Elizabeth Gatto J. Karl Johnson Computational Modeling and Simulation Program University of Pittsburgh Pittsburgh Pennsylvania 15260 USA Department of Chemical and Petroleum Engineering University of Pittsburgh Pittsburgh Pennsylvania 15261 USA Department of Chemical Engineering New Mexico Tech Socorro New Mexico 87801 USA Department of Mechanical and Materials Science University of Pittsburgh Pittsburgh Pennsylvania 15261 USA

Graphane functionalized with hydroxyl groups is shown to rapidly conduct protons under anhydrous conditions through a contiguous network of hydrogen bonds. Density functional theory calculations predict remarkably low barriers to diffusion of protons along a 1D chain of surface hydroxyls. Diffusion is controlled by the local rotation of hydroxyl groups, a mechanism that is very different from that found in 1D water wires in confined nanopores or in bulk water. The proton mean square displacement in the 1D chain was observed to follow Fickian diffusion rather than the expected single-file mobility. A charge analysis reveals that the charge on the proton is essentially equally shared by all hydrogens bound to oxygens, effectively delocalizing the proton.

关键词： Anomalous diffusion Graphene Membrane structures

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Assessing the impact of booster vaccination on diphtheria transmission:Mathematical modeling and risk zone mapping

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Infectious Disease Modelling 2024年第1期9卷 245-262页

作者： Ilham Saiful Fauzi Nuning Nuraini Ade Maya Sari Imaniah Bazlina Wardani Delsi Taurustiati Purnama Magdalena Simanullang Bony Wiem Lestari Department of Accounting Politeknik Negeri MalangMalangIndonesia Department of Mathematics Faculty of Mathematics and Natural SciencesInstitut Teknologi BandungBandungIndonesia Center for Mathematical Modeling and Simulation Institut Teknologi BandungBandungIndonesia Study Program of Biology Education Faculty of Education and Teacher TrainingUIN Kiai Haji Achmad Siddiq JemberJemberIndonesia West Java Provincial Health Office West JavaIndonesia Department of Public Health Faculty of MedicineUniversitas PadjadjaranBandungIndonesia Department of Internal Medicine Radboud Institute for Health SciencesRadboud University Medical CentreNijmegenthe Netherlands

The COVID-19 pandemic caused significant disruptions in the healthcare system,affecting vaccinations and the management of diphtheria *** a consequence of these disruptions,numerous countries have experienced a resurgence or an increase in diphtheria *** Java province in Indonesia is identified as one of the high-risk areas for diphtheria,experiencing an upward trend in cases from 2021 to *** analyze the situation,we developed an SIR model,which integrated DPT and booster vaccinations to determine the basic reproduction number,an essential parameter for infectious *** spatial analysis of geo-referenced data,we identified hotspots and explained diffusion in diphtheria case *** calculation of R0 resulted in an R0=1.17,indicating the potential for a diphtheria outbreak in West *** control the increasing cases,one possible approach is to raise the booster vaccination coverage from the current 64.84%to 75.15%,as suggested by simulation ***,the spatial analysis revealed that hot spot clusters were present in the western,central,and southern regions,posing a high risk not only in densely populated areas but also in rural *** diffusion pattern of diphtheria clusters displayed an expansion-contagious *** the rising trend of diphtheria cases and their geographic distribution can offer crucial insights for government and health authorities to manage the number of diphtheria cases and make informed decisions regarding the best prevention and intervention strategies.

关键词： Diphtheria Vaccination Mathematical modeling SIR model Hot spot analysis

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