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Newton-Euler based computational modeling and Trajectory Planning in Human Arm Flexion-Extension Movements: A Preliminary Study for Collaborative Robot Implementation in Rehabilitation

Newton-Euler based Computational Modeling and Trajectory Pla...

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International Conference on Advanced Computer Control, ICACC

作者： Mohamed Shahid P A M Krishnaprasad Varma Guru Revathi B Sudheer A P Mechatronics/Robotics Laboratory National Institute of Technology Calicut

ISBN: (数字)9798350379136

ISBN: (纸本)9798350379143

Human arm movement analysis is an important process in upper limb rehabilitation which helps in the restoration of motor function post injury. This will help in framing the strategies for rehabilitation with the aim of personalization and improved effectiveness. The current work focuses on modeling the human arm as a three-link system, representing the shoulder, elbow, and wrist joints. The arm’s mass, size, and flexion-extension limit angles are determined based on anthropometric data. These data are used for dynamic analysis, where a variable weight is placed at the fingertip and precisely simulated using the Newton-Euler approach. The torque variations along with the generated trajectory at each joint are significant, which can provide an analytical approach for understanding the arm dynamics that can lead to the implementation of collaborative robots in rehabilitation. This approach provides the tailor-made rehabilitation programs ensuring that robotic assistance is effectively aligned with the specific needs of the user.

关键词： Wrist Torque Trajectory planning computational modeling Biological system modeling Shoulder Collaborative robots Arms Manipulators Trajectory

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Synthetic Simulated Environment for Discrete Manufacturing Systems: A Demonstrator Through a computational modeling Approach

Synthetic Simulated Environment for Discrete Manufacturing S...

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Simulation Winter Conference

作者： Silvan Marti Paulo Victor Lopes Siyuan Chen Mohan Rajashekarappa Elham Rekabi Bana Amon Göppert Mélanie Déspeisse Johan Stahre Björn Johansson Dept. of Industrial and Materials Science Chalmers University of Technology Gothenburg SWEDEN Dept. Computer Science Aeronautics Institute of Technology São José dos Campos BRAZIL Lab. for Machine Tools and Production Eng. (WZL) RWTH Aachen University Aachen GERMANY

ISBN: (数字)9798331534202

ISBN: (纸本)9798331534219

In light of the challenges posed by the often unavailability of coherent data in manufacturing for operational Artificial Intelligence (AI) decision support systems, the generation and utilization of synthetic datasets have become essential. This study introduces a simple numerical Synthetic Simulated Environment (SSE) using timed and parametrizable Petri Net (PN) modules, embedded in a Directed Acyclic Graph (DAG) structure described by an adjacency matrix to represent material flow. Implemented in PyTorch for seamless integration with AI components, our simulation framework simplifies manufacturing systems, yet remains expandable for diverse use cases. The simulation model was demonstrated displaying its capability of generating synthetic data. This approach explores the practicality and applicability of generated data. It could serve as an ideal environment to benchmark Artificial Intelligence (AI) algorithms in comparative experiments, investigating operational problems featured in the dynamic interactions of discrete manufacturing systems.

关键词： Decision support systems Directed acyclic graph Heuristic algorithms computational modeling Petri nets Benchmark testing Data models Artificial intelligence Manufacturing systems Synthetic data

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Brain Chips in the Rough: computational modeling of Brain Stimulation by an Intercept and Replace Machine Learning Model

Brain Chips in the Rough: Computational Modeling of Brain St...

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International Conference on e-health Networking, Applications and Services (HealthCom)

作者： Harika Korkusuz Jiang Liu Faculty of Science and Engineering Computer Science and Communication Engineering Waseda University Tokyo Japan

ISBN: (数字)9798350350548

ISBN: (纸本)9798350350555

Inthis study, we proposed a closed-loop transformer neural network decoder-based signal generation method to record, decode, and stimulate the brain to intercept a previously functional brain area. The dataset consists of the auditory cortex output of computational modeling of the human auditory system, following voice input. The system is comprised of three phases. In Phase I artificial brain signal was generated based on a generative sequence-to-sequence machine learning model. In Phase II the cortical area downstream was stimulated with the generated brain signal, effectively replacing the upstream cortical area on which the machine learning model is based. Finally, in Phase III, incremental learning is applied to fine-tune the model to unlock differences between what is being recorded by our electrodes and the hidden neural patterns of the brain. As an evaluation, we computed RMSE and similarity index between the generated stimulation output and inputted original computational model output without any interception. The generative regression model using our proposed method shows an average RMSE = 0.009845, and similarity index (SI) = 0.9416 across the models without an word embedding layer, and SI = 0.855283 and RMSE = 0.033068 for the model with a word embedding layer. This could be evidence to support that the Transformer-Decoder model has extracted distinguishable features during heard speech.

关键词： Electrodes Incremental learning computational modeling Auditory system Brain modeling Transformers Feature extraction Indexes Brain stimulation Biological neural networks

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Reduced Synaptic Heterogeneity in a Tetanus Toxin Model of Epilepsy: Insights from computational modeling

Reduced Synaptic Heterogeneity in a Tetanus Toxin Model of E...

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

作者： Parvin Zarei Eskikand Mark J. Cook Anthony N. Burkitt David B. Grayden Department of Biomedical Engineering The University of Melbourne Victoria Australia Graeme Clark Institute The University of Melbourne Victoria Australia Department of Medicine St Vincent’s Hospital Melbourne Victoria Australia

ISBN: (数字)9798350371499

ISBN: (纸本)9798350371505

A neural mass model was used to assess connectivity strength across diverse populations by fitting the model to background EEG data obtained from a Tetanus Toxin rat model of epilepsy. Our findings reveal a notable decline in the variability of estimated parameters when using EEG data recorded from rats in the Tetanus Toxin group compared with the control group. A detailed comparison of standard deviations in estimated parameters between day 1 and day 20 recordings, coinciding with a heightened number of seizures, underscores the impact of Tetanus Toxin on diminishing synaptic strength variability across recordings. This study supports electrophysiological studies suggesting that epileptogenesis induces a reduction in biophysical heterogeneity, potentially leading to an increase in network synchrony associated with epilepsy. Furthermore, our computational model establishes a foundation for future explorations of the implications of this diminished variability.

关键词： computational modeling Biological system modeling Fitting Epilepsy Brain modeling Data models Electroencephalography Recording Engineering in medicine and biology Standards

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Utilizing computational modeling for Real-Time Analysis of Energy Dynamics in Educational Structures

Utilizing Computational Modeling for Real-Time Analysis of E...

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Energy Efficiency and Agricultural Engineering (EE&AE), International Conference on

作者： Lelia Letitia Popescu Razvan Stefan Popescu Buildings’ Services Faculty Technical University of Civil Engineering of Bucharest Bucharest Romania

ISBN: (数字)9798350369380

ISBN: (纸本)9798350369397

Nowadays, escalating energy costs and the enforcement of European energy directives, which extend to Romania, the urgent need to curb energy usage has gained considerable prominence, particularly concerning older buildings. To tackle this issue, we conducted dynamic simulations utilizing DesignBuilder software. Utilizing a Testo 885-2 thermal imager, we identified structural leaks and heat dissipation within buildings, complemented by the use of a Testo 435 device to gauge thermal transmittance of walls and roofs. These metrics served as vital inputs for the DesignBuilder simulations. Our study aimed to reduce energy consumption by enhancing the envelope components of buildings to meet the Nearly Zero Energy Building (nZEB) criteria stipulated by Romanian legislation for retrofitting educational structures. We observed a significant $71 \%$ decrease in thermal energy consumption, a $46 \%$ reduction in specific primary energy consumption and CO 2 emissions reduced by $55 \%$, when transitioning from the initial scenario to the most intricate setup. Regarding economic viability, the most elaborate scenario demonstrated a 12-year payback period, even in the absence of external funding from governmental initiatives. This investigation underscores the considerable potential for energy conservation and economic advantages achievable through the adoption of energy-efficient building solutions.

关键词： Energy consumption Renewable energy sources computational modeling Buildings Mathematical models Software Real-time systems

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In Vitro Experiments and computational modeling of Cancer Invasion

In Vitro Experiments and Computational Modeling of Cancer In...

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International Symposium on Soft Computing and Intelligent Systems (SCIS)

作者： Shinji Kotani Tadashi Nakano Chikako Yokovama Department of Electrical and Information Engineering Osaka City University Osaka Japan Graduate School of Informatics Osaka Metropolitan University Osaka Japan Graduate School of Engineering Osaka Metropolitan University Osaka Japan

ISBN: (数字)9798350373332

ISBN: (纸本)9798350373349

Understanding cancer invasion dynamics is crucial for developing effective treatments and therapies. This paper first reports the results of our cancer invasion experiments, demonstrating that two different breast cancer cell lines, MCF7 and T-47D, exhibit distinct invasion patterns. To understand the mechanisms underlying these patterns, we then develop a computational model using the Cellular Potts model. This model accounts for cell-cell adhesion, membrane protrusion, and contact inhibition of proliferation. Simulation results based on the model show that it is able to reproduce the invasion patterns observed in experiments. Additionally, the simulation results indicate that cell-cell adhesion plays an important role in determining the invasion patterns of cancer cells.

关键词： Adhesives computational modeling Simulation Medical treatment Breast cancer In vitro Biological cells

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Electromagnetic computational modeling and Bistatic Scattering Characteristics Analysis of Spherical Jammer Group

Electromagnetic Computational Modeling and Bistatic Scatteri...

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Intelligent Communication, Sensing and Electromagnetics (ICSE), International Conference on

作者： Wei Xin Xin Liu Weidong Wang National Key Laboratory of Science and Technology on Test Physics & Numerical Mathematics Beijing China

ISBN: (数字)9798350354935

ISBN: (纸本)9798350354942

Bistatic radar is widely used in the military field with its good anti-jammer ability and accurate detection and identification ability. How to implement effective jammer for this kind of radar system has become a research hotspot at present. Due to the small scattering intensity and weak echo energy of j ammer monomer, it has no advantage in countering the bistatic radar. It is necessary to release multiple jammers to form a group to form strong scattering, so as to interfere with the bistatic radar to detect and recognize the target, so the study on the scattering characteristics of the jammer group is particularly important. Therefore, this paper takes the group composed of spherical monomer as an example, first of all, MATLAB and CST STUDIO SUITE (CST) are used for joint modeling, and then electromagnetic simulation calculation is carried out on the group of spherical jammer objects with different bands, different sphere sizes, different group densities and different group distributions to analyze the bistatic scattering characteristics under different parameters. The research results show that the four parameters will have different degrees of influence on the bistatic scattering characteristics of the spherical jammer group, which provides a theoretical basis and data support for parameter selection and airspace planning against the bistatic radar.

关键词： Analytical models Radar cross-sections Target recognition computational modeling Atmospheric modeling Electromagnetic scattering Bistatic radar Stability analysis Jamming Electromagnetics

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Myofilament-associated proteins with intrinsic disorder (MAPIDs) and their resolution by computational modeling

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QUARTERLY REVIEWS OF BIOPHYSICS 2023年第1期56卷 e2-e2页

作者： Sun, Bin Kekenes-Huskey, Peter M. M. Harbin Med Univ Coll Pharm Dept Med Chem & Nat Med Chem Res Ctr PharmacoinformatState Prov Key Lab Biomed Harbin 150081 Peoples R China Loyola Univ Chicago Dept Cell & Mol Physiol Chicago IL 60153 USA

The cardiac sarcomere is a cellular structure in the heart that enables muscle cells to contract. Dozens of proteins belong to the cardiac sarcomere, which work in tandem to generate force and adapt to demands on cardiac output. Intriguingly, the majority of these proteins have significant intrinsic disorder that contributes to their functions, yet the biophysics of these intrinsically disordered regions (IDRs) have been characterized in limited detail. In this review, we first enumerate these myofilament-associated proteins with intrinsic disorder (MAPIDs) and recent biophysical studies to characterize their IDRs. We secondly summarize the biophysics governing IDR properties and the state-of-the-art in computational tools toward MAPID identification and characterization of their conformation ensembles. We conclude with an overview of future computational approaches toward broadening the understanding of intrinsic disorder in the cardiac sarcomere.

关键词： myofilament intrinsically disordered protein structure and dynamics computational modeling cardiomyopathy

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Exergetic Assessment and computational modeling of a Solar-Powered Directly-Coupled Air Conditioning System: An Application in Library Cooling

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INTERNATIONAL JOURNAL OF HEAT AND TECHNOLOGY 2023年第4期41卷 854-868页

作者： Santos, Elson C. Macedo, Emanuel N. Magno, Rui Nelson O. Galhardo, Marcos A. B. Oliveira, Luis Guilherme M. Brito, Alaan U. Macedo, Wilson N. Inst Fed Educ Ciencia & Tecnol Para Grp Pesquisas Ciencias Nat Matemat & Tecnol BR-68440000 Abaetetuba Brazil Univ Fed Para Fac Engn Quim ITEC BR-66075110 Belem Brazil Univ Fed Para Fac Engn Elect & Biomed ITEC BR-66075110 Belem Brazil Pontificia Univ Catolica Minas Gerais Dept Engn Energia DEE BR-30535901 Belo Horizonte Brazil Univ Fed Amapa Dept Ciencias Exatas & Tecnol BR-68903419 Macapa Brazil Univ Fed Para Grp Estudos & Desenvolvimento Alternat Energet ITG BR-66075110 Belem Brazil

This study presents a comprehensive exergetic analysis, facilitated by computational modeling, of a solar-powered air conditioning system directly linked to a photovoltaic generator. The system, designed without an energy storage component, aims at addressing the cooling requirements of a library by harnessing the natural regulation of solar energy, under two distinct solar irradiance profiles. Simulations revealed that the photovoltaic generator necessitates a minimum solar incidence of 240 W/m2 to fulfill the basal cooling capacity of the system. The results indicated that only 25% of the library's operational period on a sunny day, and a mere 12.3% on a cloudy day, met the thermal comfort standards for occupants. Furthermore, the study discerned an increase in exergy destruction in the system components over the course of the day. The photovoltaic system exhibited the highest level of exergy destruction, followed by the compressor, condenser, evaporator, and expansion valve respectively. This exergy analysis offers a holistic evaluation of the system's overall efficiency. It transcends mere energy efficiencies and incorporates power quality losses that transpire during the conversion and transport processes. With this indepth assessment, the study not only identifies the areas of greatest energy losses but also offers insights that could enhance the system's design and operational efficiency.

关键词： air conditioning unit cooling demand computational modeling exergetic analysis photovoltaic system photovoltaic generator solar cooling solar power

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modeling Bilingualism as a Dynamic Phenomenon in Healthy and Neurologically Affected Speakers Across the Lifespan: A Commentary on "computational modeling of Bilingual Language Learning: Current Models and Future Directions"

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LANGUAGE LEARNING 2023年第Sup2期73卷 78-82页

作者： Penaloza, Claudia Grasemann, Uli Miikkulainen, Risto Kiran, Swathi Univ Barcelona Barcelona Spain Bellvitge Biomed Res Inst IDIBELL Barcelona Spain Univ Texas Austin Austin TX USA Boston Univ Boston MA USA

This commentary responds to Ping Li and Qihui Xu's article "computational modeling of Bilingual Language Learning: Current Models and Future Directions" (Language Learning, 73(S2), 17-64).

关键词： bilingualism bilingual language learning bilingual language processing computational modeling

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