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Multi-scale agent-based models in immunology. A short review

Multi-scale agent-based models in immunology. A short review

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2021 international conference on Information and Knowledge Management Workshops, CIKMW 2021

作者： Pennisi, Marzio Computer Science Institute Dipartimento di Scienze e Innovazione Tecnologica Università degli Studi del Piemonte Orientale "Amedeo Avogadro" Viale T. Michel 11 Alessandria15121 Italy

In the drug discovery pipeline, the lack of multi-scale modeling approaches able of taking into account the observation of an immunological phenomenon from the molecular to the tissue/organism levels represents a big issue. In this scenario, agent-based models can partially make up for this issue allowing them to accurately describe all the interactions that occur at the cellular level and showing the phenomenon at the tissue/organ level thanks to their capability of producing emergent global behaviors. This short review will present some of these agent-based approaches developed for the simulation of diseases and the relative immune system response that also try to explicitly include molecular-level aspects such as internal cell behavior or receptor binding, for a more real and complete representation of the immunological phenomena under examination. © 2021 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 international (CC BY 4.0). CEUR Workshop Proceedings (***)

关键词： Computational methods

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computer simulation of New Terminally Charged Peptide Dendrimers with Neutral Spacers

Computer Simulation of New Terminally Charged Peptide Dendri...

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international conference on Mathematics and computers in Sciences and in Industry (MCSI)

作者： Sofia E. Mikhtaniuk Valeriy V. Bezrodnyi Oleg V. Shavykin Emil I. Fatullaev Igor M. Neelov ITMO University Saint-Petersburg Russia St. Petersburg State University Saint-Petersburg Russia Tver State University Tver Russia ITMO University St. Petersburg State University) Insitute of Macromolecular Compounds Saint-Petersburg Russia

In previous works, we carried out computer modeling of new positively charged molecules of complex topology and composition (peptide dendrimers based on lysine amino acid with AlaLys core, positively charged repeating units Lys2Lys + , Lys2Arg + , Lys2His + , and positively charged terminal residues (Lys +2 )). These dendrimers have very large positive charges distributed throughout all dendrimer volumes. They were designed to deliver oppositely charged drug molecules or/and genetic material into normal and cancer cells. The goal of the present work is to present new lysine-based peptide dendrimers with the same structure and topology but with strongly hydrophobic dipeptide spacers. In these molecules, only the surface of the dendrimers is charged, but their internal volume is hydrophobic. Such dendrimers can be used as nanocontainers with enhanced capability for the delivery of hydrophobic drug molecules. This work demonstrates that such dendrimers form fewer hydrogen bonds with water than the previously considered dendrimers with positively charged internal repeating units. An increase in internal hydrophobicity leads to compaction of the hydrophobic interior of the dendrimers. The temperature dependence of the size of the most hydrophobic dendrimer Lys2Leu has a minimum at a temperature of about T=300- 310K, which corresponds to the maximum hydrophobicity of leucine and isoleucine amino acid residues in globular proteins, obtained in a recently published study (van Dijk, 2015). The electrostatic properties of both dendrimers were also studied. It was shown that an increase in hydrophobicity leads to an increase of effective surface charge of the dendrimer and to increase of its zeta-potential due to a decrease in the penetration of counterions into its hydrophobic core. Results obtained here mean that these peptide dendrimers have a good perspective for future applications as carriers of small hydrophobic drug molecules.

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modeling and simulation for Battery Energy Storage System Participating in Power System Frequency Modulation Based on Power System Analysis Software Package 1

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16th international conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2020 in conjunction with the 13th international conference on Frontiers of Information Technology, Applications and Tools, FITAT 2020

作者： Cao, Pengcheng Li, Peiqiang Sun, Peidong Zhang, Zhongkai Chang, Kuo-Chi School of Information Science and Engineering Fujian University of Technology Fuzhou China Fujian Provincial Key Laboratory of Big Data Mining and Applications Fujian University of Technology Fuzhou China College of Mechanical and Electrical Engineering National Taipei University of Technology Taipei Taiwan Department of Business Administration North Borneo University College Kota Kinabalu Sabah Malaysia

ISBN: (数字)9789813364202

ISBN: (纸本)9789813364196

Battery energy storage technology, with its fast and accurate power response, has become the focus of the auxiliary means of power system frequency modulation. However, the traditional simulation software lacks an accurate battery energy storage system component model, which affects the accuracy of analyzing the response characteristics of the energy storage system to a certain extent. This paper presents an electromechanical transient model of battery energy storage system without time delay, which considers the participation of energy storage system in frequency modulation dead zone and battery charging and discharging power. The control model is built based on the node current injection method by using the power system analysis integrated program, and the EPRI-7 standard system is selected for simulation analysis. The simulation results show that the model has good implant ability. And when the load is cut off in the power system, the energy storage system participating in frequency modulation can effectively maintain the frequency stability. © 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： computer software

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Centroidal Aerodynamic modeling and Control of Flying Multibody Robots

Centroidal Aerodynamic Modeling and Control of Flying Multib...

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IEEE international conference on Robotics and Automation (ICRA)

作者： Tong Hui Antonello Paolino Gabriele Nava Giuseppe L' Erario Fabio Di Natale Fabio Bergonti Francesco Braghin Daniele Pucci Artificial and Mechanical Intelligence Istituto Italiano di Tecnologia Genova Italy Department of Mechanical Engineering Politecnico di Milano Milan Italy Department of Industrial Engineering Universit&#x00E0 degli Studi di Napoli Federico II Naples Italy School of Computer Science Univ. of Manchester Manchester U.K.

This paper presents a modeling and control frame-work for multibody flying robots subject to non-negligible aero-dynamic forces acting on the centroidal dynamics. First, aero-dynamic forces are calculated during robot flight in different operating conditions by means of Computational Fluid Dynamics (CFD) analysis. Then, analytical models of the aerodynamics coefficients are generated from the dataset collected with CFD analysis. The obtained simplified aerodynamic model is also used to improve the flying robot control design. We present two control strategies: compensating for the aerodynamic effects via feedback linearization and enforcing the controller robustness with gain-scheduling. simulation results on the jet-powered humanoid robot iRonCub validate the proposed approach.

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Motion Planning Integrated with Vehicle-Terrain Interactions for Off-Road Autonomous Ground Vehicles

Motion Planning Integrated with Vehicle-Terrain Interactions...

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international conference on Intelligent Transportation

作者： Jianhua Yin Xianyuan Zhan Tianying Ji Bingrong Xu Yi He Daqing Zhang Lingxi Li Intelligent Transportation Systems Research Center Wuhan University of Technology Wuhan China Engineering Research Center of Transportation Information and Safety Ministry of Education Wuhan China Chongqing Research Institute Wuhan University of Technology Chongqing China Institute for AI Industry Research Tsinghua University Beijing China Shanghai Artificial Intelligence Laboratory Shanghai China Department of Computer Science and Technology Tsinghua University Beijing China School of Automation Wuhan University of Technology Wuhan China College of Mechanical and Electrical Engineering Hunan Agricultural University Changsha China Sunward Intelligent Equipment Co. Ltd. Changsha China Elmore Family School of Electrical and Computer Engineering College of Engineering Purdue University IN USA

ISBN: (数字)9798331505929

ISBN: (纸本)9798331505936

Off-road autonomous ground vehicles (AGVs) work in unstructured environments with varied elevation and deformable ground, where vehicle-terrain interactions are more complex resulting in unpredictable dynamics behavior. Current sensor-based hazards/obstacle identification methods mainly focus on geometric hazards/obstacles with explicit geometry, which might be adequate for vehicles in on-road conditions. However, in the off-road environment, vehicle-terrain interactions could introduce non-geometric hazards that cannot be detected by current geometric hazards-oriented sensing techniques, e.g. vehicle stuck in mud. To enable AGVs to traverse the target terrain and meet the goal while avoiding non-geometric hazards, this work proposes a motion planning method integrated with coupled vehicle-terrain dynamics response. Specifically, terramechanics-based modeling and simulation (M&S) is utilized to characterize vehicle-terrain interactions. Based on the dynamics response, a reinforcement learning (RL) algorithm with a specialized reward function is used to navigate the AGV to find the goal with high mobility and safety. We demonstrate the proposed method with two case studies, 1) high mobility is the foremost concern with less safety requirement, and 2) both high mobility and safety are required. The results show that the proposed motion planning method is effective for navigating the AGV in off-road terrains.

关键词： Dynamic response Geometry Navigation Heuristic algorithms Reinforcement learning Land vehicles Hazards Planning Sensors Vehicle dynamics

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1st international Scientific conference on Telecommunications, Computing and Control, TELECCON 2019

1st International Scientific Conference on Telecommunication...

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1st international Scientific conference on Telecommunications, Computing and Control, TELECCON 2019

ISBN: (纸本)9789813366312

The proceedings contain 46 papers. The special focus in this conference is on Telecommunications, Computing and Control. The topics include: Solving Multicriteria Optimization Problem for an Oil Refinery Plant;methods and Techniques for Increasing the Accuracy of Continuous Non-invasive Blood Pressure Measurement Under Dynamic Loads;computer modeling of Robust Control of Vibrationless Movement of Multi-mode Flexible Structures;feature-Based Plant Seedlings Classification;medical Training simulation in Virtual Reality;application of the Hybrid Model to Numerical modeling of the Urban Transport Network Topology;Synchronization Scheme for UWB Wireless Sensor Network System;the Deep Survival Forest and Elastic-Net-Cox Cascade Models as Extensions of the Deep Forest;an Explanation Method for Siamese Neural Networks;detection and Prediction of Safety Faults in Inter-Device Networks Applying a Set of Data-Driven Methods;Hierarchical Multi-agent System for Production Control Using KPI Reconciliation;semi-supervised Learning for Medical Image Segmentation;developing a New Generation of Reconfigurable Heterogeneous Distributed High Performance Computing System;Usage of a BART Algorithm and Cognitive Services to Research Collaboration Platforms;a computer-Aided Diagnosis System in the Diagnosis of Multiple Sclerosis;Predicting Students’ Performance on MOOC Using Data Mining Algorithms;on the Implementation of the Planar3D Model Using the Explicit Time Integration Scheme and the Statistical Front Tracking Method;fast Fourier Transform in Planar3D Model Using an Explicit Numerical Integration Scheme;employee Performance Analytics Approach Based on Anomaly Detection in User Activity;deep Predictive Control;development of an Algorithm for Determining the Railway Tracks on Video Image;on the Computational Complexity of Deep Learning Algorithms.

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Edge-Cloud Computing Systems for Unmanned Aerial Vehicles Capable of Optimal Work Offloading with Delay

Edge-Cloud Computing Systems for Unmanned Aerial Vehicles Ca...

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Electronics and Renewable Systems (ICEARS), international conference on

作者： V S Narayana Tinnaluri Manasi Vyankatesh Ghamande Shashank Singh Ramu Kuchipudi Minakshi Dattatraya Bhosale R Dharani Department of Computer Science Koneru Lakshmaiah Education Foundation Vijayawada Andhra Pradesh India Engineering and Applied Sciences Vishwakarma Institute of Information Technology Pune Department of Computer Science and Engineering Integral University Lucknow Uttar Pradesh India Department of Information Technology Chaitanya Bharathi Institute of Technology Hyderabad Telangana India Faculty of MCA Yashoda Technical Campus Satara Wadhe Maharashtra India Department of Computer Science and Business Systems M. Kumarasamy College of Engineering Karur Tamilnadu India

Mobile terminals' limited processing power and memory make it challenging to meet the needs of increasingly complex applications like autonomous vehicles and augmented reality. That’s why there’s been a rise in the demand for edge cloud computing power from endpoint gadgets. Due to its adaptability and proximity to the user, an unmanned aerial vehicle (UAV) may be used to support mobile edge computing (MEC) via job offloading, potentially relieving strain on edge clouds. Due to limitations in processing power and battery life, Unmanned Aerial Vehicles (UAV) devices face a huge issue with the rise of Applications and services for mobile devices that can't afford to be delayed and that need a lot of processing power. Task offloading is one way that mobile cloud computing may help you get around these restrictions. The biggest difficulties with this paradigm, however, are the significant latency and security concerns. The edge-cloud computing model was then proposed and has since seen widespread adoption as a means of dealing with these complications. However, the present task offloading models allow UAVs to perform their heavy jobs at the linked edge server, leading to unnecessary loads owing to the huge amount of UAVs and, in turn, increasing the latency. For this reason, this study has presented a delay-optimal task offloading strategy for multi-tier edge-cloud computing with many users. In this research, a system model has been proposed to assist an intelligent and perceptive agent in determining the best computational offloading strategy, minimizing both the time it takes to complete a job and the amount of power it needs to do so. The efficacy of an agent was shown, and simulation results revealed that its adoption may greatly cut delay and energy usage.

关键词： Cloud computing Computational modeling Autonomous aerial vehicles Software Numerical models Delays Servers

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Grant-Free Access in Multi-Cell Massive MIMO through Learning Cooperative Activity Detection over Riemannian Manifolds

Grant-Free Access in Multi-Cell Massive MIMO through Learnin...

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IEEE conference on Vehicular Technology (VTC)

作者： Rashed Shelim Ahmed S. Ibrahim Department of Electrical and Computer Engineering Florida International University Miami USA

ISBN: (数字)9798331517786

ISBN: (纸本)9798331517793

Grant-free (GF) or random access is a key enabler for low-latency massive machine-type communications (mMTC), where devices are sporadically active and transmit small amounts of data. Massive multiple-input multiple-output (mMIMO) technology can enable users’ activity detection for such random access, due to its inherent spatial diversity. One approach employs the sample covariance matrices of received signals to estimate the activity detection. Such covariance-based schemes utilize sub-optimal search algorithms (e.g., coordinate-wise gradient descent) to find solutions for the non-convex maximum likelihood (ML) estimation problem of user activity detection. Covariance matrices are symmetric positive definite (SPD) ones and hence they can be represented over Riemannian manifolds (i.e., curved surfaces). Consequently, users can be represented over such non-Euclidean manifold using a combination of the sufficient-statistic sample covariance matrices and user-dependent pilot sequences. Such unique user’s modeling over Riemannian manifolds paves the road to use geometric-based solutions for activity detection. Specifically in this paper, we propose to utilize geometric k-means clustering to divide users of multi-cell massive MIMO system into two distinct groups, namely, active and inactive ones. Geodesic distances among users’ representations over Riemannian manifold are measured using log-determinant Bregman divergence. simulation results show that the proposed method reduces probability of miss detection compared to Euclidean-based state-of-the-arts. Finally, the proposed method requires less complexity than Euclidean ones.

关键词： Manifolds Maximum likelihood estimation Vehicular and wireless technologies simulation Spatial diversity Roads Massive MIMO Search problems Complexity theory Covariance matrices

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Timing model and maximum-aperture pixel design of an active-matrix display

Timing model and maximum-aperture pixel design of an active-...

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international conference on Display Technology, ICDT 2020

作者： Liu, Xuchi Xia, Zhihe Kwok, Hoi-Sing Wong, Man Department of Electronic and Computer Engineering The Hong Kong University of Science and Technology Hong Kong State Key Laboratory on Advanced Displays and Optoelectronics and Technologies The Hong Kong University of Science and Technology Hong Kong Jockey Club Institute for Advanced Study The Hong Kong University of Science and Technology Hong Kong

A timing model has been developed for an active-matrix display, accounting for both the signal propagation delay and the pixel charging time. The Lagrange multiplier method is applied to maximize the aperture ratio of a pixel in such a display, while satisfying constraints imposed by the timing model. © 2021, John Wiley and Sons Inc. All rights reserved.

关键词： Lagrange multipliers

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Selective Intervention Strategy Based on Content Perception Model Against Fake News Sharing

Selective Intervention Strategy Based on Content Perception ...

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international Symposium on Soft Computing and Intelligent Systems (SCIS)

作者： Kazunori Fujimoto Yuko Tanaka Miwa Inuzuka Faculty of Business Administration Kindai University Osaka Japan Graduate School of Engineering Nagoya Institute of Technology Nagoya Japan Department of Education Tokyo Gakugei University Tokyo Japan

This paper presents an intervention strategy, called a selective intervention, designed using a content perception model to analyze intervention effects at the cognitive level against fake news sharing. The content perception model derives the expected size of the suppression effect for each combination of content and user, so it allows selective intervention, that is, the selective use of the type of intervention from the perspective of maximizing the expected suppression effect. The model is developed as a Bayesian network, which assigns random variables to one of five layers: intervention, content feature, perceived feature, active state, and passive state. Here, two intervention types are introduced: accuracy-nudge based and correction based interventions. Based on a computer simulation technique, the effectiveness of selective intervention is compared with those of other simple intervention strategies in the context of political fake news studied in a previous work.

关键词： Analytical models Computational modeling computer simulation Random variables Bayes methods Fake news

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