scholarly journals Distributed Simulation Platforms and Data Passing Tools for Natural Hazards Engineering: Reviews, Limitations, and Recommendations

2021 ◽  
Author(s):  
Lichao Xu ◽  
Szu-Yun Lin ◽  
Andrew W. Hlynka ◽  
Hao Lu ◽  
Vineet R. Kamat ◽  
...  
Keyword(s):  
Natural Hazards ◽  
Data Exchange ◽  
Distributed Simulation ◽  
Distributed Data ◽  
Interactive Simulation ◽  
Integrated Simulation ◽  
Domain Specific ◽  
Advantages And Disadvantages ◽  
High Level ◽  
Data Passing

AbstractThere has been a strong need for simulation environments that are capable of modeling deep interdependencies between complex systems encountered during natural hazards, such as the interactions and coupled effects between civil infrastructure systems response, human behavior, and social policies, for improved community resilience. Coupling such complex components with an integrated simulation requires continuous data exchange between different simulators simulating separate models during the entire simulation process. This can be implemented by means of distributed simulation platforms or data passing tools. In order to provide a systematic reference for simulation tool choice and facilitating the development of compatible distributed simulators for deep interdependent study in the context of natural hazards, this article focuses on generic tools suitable for integration of simulators from different fields but not the platforms that are mainly used in some specific fields. With this aim, the article provides a comprehensive review of the most commonly used generic distributed simulation platforms (Distributed Interactive Simulation (DIS), High Level Architecture (HLA), Test and Training Enabling Architecture (TENA), and Distributed Data Services (DDS)) and data passing tools (Robot Operation System (ROS) and Lightweight Communication and Marshalling (LCM)) and compares their advantages and disadvantages. Three specific limitations in existing platforms are identified from the perspective of natural hazard simulation. For mitigating the identified limitations, two platform design recommendations are provided, namely message exchange wrappers and hybrid communication, to help improve data passing capabilities in existing solutions and provide some guidance for the design of a new domain-specific distributed simulation framework.

A Middleware for Integrating Components of Modern Distributed Virtual Reality Systems

2011 ◽  
Author(s):  
Vasily Y. Kharitonov
Keyword(s):  
Virtual Reality ◽  
Data Exchange ◽  
Distributed Simulation ◽  
Application Programming Interface ◽  
Practical Applications ◽  
Human In The Loop ◽  
Distributed Virtual Reality ◽  
Basic Features ◽  
High Level ◽  
Framework System

Distributed virtual reality systems (DVR systems) represent one of the most intensively developing branches of distributed simulation technology to date. Examples of such systems include various human-in-the-loop applications for training, educational and entertainment purposes. Modern DVR systems require sophisticated data exchange mechanisms to provide consistent and at the same time responsive interaction of a large number of heterogeneous components. While many DVR systems have been implemented in the past decade, there is still exists a lack of universal, easily deployable and extensible framework that enables rapid creation of complete systems from scratch. In this work we present the TerraNet framework which is a middleware allowing an application developer to easily implement and deploy medium-sized DVR systems for specific tasks without direct low-level network programming. TerraNet framework provides a high-level application programming interface to create, manage and distribute objects in a shared virtual environment. In paper we discuss overall framework system architecture, its basic features and functionality, as well as possible practical applications.

Physics-Based Modelling of Ship Replenishment at Sea Using Distributed Simulation

2009 ◽  
Author(s):  
K. A. McTaggart ◽  
R. G. Langlois
Keyword(s):  
Time Management ◽  
Data Exchange ◽  
Distributed Simulation ◽  
Ship Motions ◽  
High Level Architecture ◽  
Detailed Modelling ◽  
Naval Operations ◽  
Physics Based Simulation ◽  
High Level ◽  
Replenishment At Sea

Replenishment at sea is essential for sustainment of naval operations away from home ports. This paper describes physics-based simulation of the transfer of solid payloads between two ships. For a given operational scenario, the simulation can determine whether events such as breakage of replenishment gear or immersion of payload in the ocean will occur. The simulation includes detailed modelling of the replenishment gear and ship motions. Distributed simulation using the High Level Architecture facilitates time management and data exchange among simulation components.

Two Novel Adams Model Encapsulation Methods in HLA Based Collaborative Product Development

2011 ◽  
Vol 130-134 ◽  
pp. 1085-1091
Author(s):  
Cheng Ma ◽  
Tian Yuan Xiao ◽  
Wen Hui Fan ◽  
Hong Bo Sun ◽  
Ying Chao Yue
Keyword(s):  
Distributed Simulation ◽  
Simulation Models ◽  
Simulation Software ◽  
Third Party ◽  
Interactive Simulation ◽  
High Level Architecture ◽  
High Level ◽  
Multi Body ◽  
Conclusion Section ◽  
Encapsulation Methods

As a well-known standard of distributed simulation, High Level Architecture (HLA) has adopted as basic framework in most distributed interactive simulation (DIS) systems. At the same time, DIS always involves multiple disciplinary simulation models which are supported by different software. And these software are not always compatible with HLA. For example, though widely used in mechanical kinetics and kinematics simulations, ADAMS, a multi-body kinetics simulation software cannot directly support HLA. To address this issue, this paper analyses redevelopment of legacy systems and models (such as Adams models) in DIS environment and proposes two encapsulation methods which is based on third-party software and user-defined subroutines respectively. A case study demonstrates the feasibility of the proposed methods. And a brief comparison is also given in conclusion section.

scholarly journals Symbiosis of Distributed Simulation and Control under Spatial Grasp Technology

2020 ◽  
Vol 3 ◽  
pp. 23-48
Author(s):  
P.S. Sapaty ◽  
Keyword(s):  
Goal Orientation ◽  
Distributed Simulation ◽  
System Control ◽  
Interactive Simulation ◽  
Ethnic Conflicts ◽  
Traditional System ◽  
Detailed Simulation ◽  
Deep Integration ◽  
High Level ◽  
Control And Management

We are witnessing rapidly growing world dynamics caused by climate change, military, religious and ethnic conflicts, terrorism, refugee flows and weapons proliferation, political and industrial restructuring too. Dealing with frequently emerging crises may need rapid integration of scattered heterogeneous resources into capable operational forces pursuing goals which may not be known in advance. Proper understanding and managing of unpredictable and crisis situations may need their detailed simulation at runtime and even ahead of it. The current paper aims at deep integration, actually symbiosis, of advanced simulation with live system control and management, which can be effectively organized in nationwide and world scale. It will be presenting the latest version of Spatial Grasp Technology (SGT) which is not based on traditional communicating parts or agents, as usual, but rather using self-spreading, self-replicating, and self-modifying higher-level code covering and matching distributed systems at runtime while providing global integrity, goal-orientation, and finding effective solutions. These spatial solutions are often hundreds of times shorter and simpler than with other approaches due to special recursive scenario language hiding traditional system management routines inside its parallel and distributed interpretation. The paper provides basics for deep integration, actually symbiosis, of different worlds allowing us to unite advanced distributed simulation with spatial parallel and fully distributed control, while doing all this within the same high-level and very simple Spatial Grasp formalism and its basic Spatial Grasp Language (SGL). It will also mention various SGT applications including economy, ecology, space research & conquest and security, where effective symbiosis of distributed interactive simulation with live control and management may provide a real breakthrough. SGL can be quickly implemented even within standard university environments by a group of system programmers, similar to its previous versions in different countries under the author’s supervision. The technology can be installed in numerous copies worldwide and deeply integrated with any other systems, actually acquiring unlimited power throughout the world.

scholarly journals Business Models for Distributed-Simulation Orchestration and Risk Management

Information ◽  
2021 ◽  
Vol 12 (2) ◽  
pp. 71
Author(s):  
Simon Gorecki ◽  
Jalal Possik ◽  
Gregory Zacharewicz ◽  
Yves Ducq ◽  
Nicolas Perry
Keyword(s):  
Risk Management ◽  
Data Exchange ◽  
Manufacturing Systems ◽  
Business Models ◽  
Distributed Simulation ◽  
Heterogeneous Systems ◽  
International Standards ◽  
High Level Architecture ◽  
Generation Company ◽  
High Level

Nowadays, industries are implementing heterogeneous systems from different domains, backgrounds, and operating systems. Manufacturing systems are becoming more and more complex, which forces engineers to manage the complexity in several aspects. Technical complexities bring interoperability, risk management, and hazards issues that must be taken into consideration, from the business model design to the technical implementation. To solve the complexities and the incompatibilities between heterogeneous components, several distributed and cosimulation standards and tools can be used for data exchange and interconnection. High-level architecture (HLA) and functional mockup interface (FMI) are the main international standards used for distributed and cosimulation. HLA is mainly used in academic and defense domains while FMI is mostly used in industry. In this article, we propose an HLA/FMI implementation with a connection to an external business process-modeling tool called Papyrus. Papyrus is configured as a master federate that orchestrates the subsimulations based on the above standards. The developed framework is integrated with external heterogeneous components through an FMI interface. This framework is developed with the aim of bringing interoperability to a system used in a power generation company.

scholarly journals A survey: which features are required for dynamic visual simultaneous localization and mapping?

2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Zewen Xu ◽  
Zheng Rong ◽  
Yihong Wu
Keyword(s):  
Simultaneous Localization And Mapping ◽  
Dynamic Environments ◽  
Visual Features ◽  
Advantages And Disadvantages ◽  
Intelligent Robots ◽  
Localization And Mapping ◽  
High Level ◽  
Static World ◽  
Robotic Applications ◽  
Significant Attention

AbstractIn recent years, simultaneous localization and mapping in dynamic environments (dynamic SLAM) has attracted significant attention from both academia and industry. Some pioneering work on this technique has expanded the potential of robotic applications. Compared to standard SLAM under the static world assumption, dynamic SLAM divides features into static and dynamic categories and leverages each type of feature properly. Therefore, dynamic SLAM can provide more robust localization for intelligent robots that operate in complex dynamic environments. Additionally, to meet the demands of some high-level tasks, dynamic SLAM can be integrated with multiple object tracking. This article presents a survey on dynamic SLAM from the perspective of feature choices. A discussion of the advantages and disadvantages of different visual features is provided in this article.

scholarly journals Temporal Processing Capacity in High-Level Visual Cortex Is Domain Specific

2015 ◽  
Vol 35 (36) ◽  
pp. 12412-12424 ◽  
Author(s):  
A. Stigliani ◽  
K. S. Weiner ◽  
K. Grill-Spector
Keyword(s):  
Visual Cortex ◽  
Temporal Processing ◽  
Processing Capacity ◽  
Domain Specific ◽  
High Level

scholarly journals Differences in subcortico-cortical interactions identified from connectome and microcircuit models in autism

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Bo-yong Park ◽  
Seok-Jun Hong ◽  
Sofie L. Valk ◽  
Casey Paquola ◽  
Oualid Benkarim ◽  
...  
Keyword(s):  
Data Exchange ◽  
Computational Models ◽  
Simulation Models ◽  
Autism Diagnostic Observation Schedule ◽  
Supervised Machine Learning ◽  
Global Network ◽  
Imaging Data ◽  
Phenotypic Data ◽  
Severity Scores ◽  
High Level

AbstractThe pathophysiology of autism has been suggested to involve a combination of both macroscale connectome miswiring and microcircuit anomalies. Here, we combine connectome-wide manifold learning with biophysical simulation models to understand associations between global network perturbations and microcircuit dysfunctions in autism. We studied neuroimaging and phenotypic data in 47 individuals with autism and 37 typically developing controls obtained from the Autism Brain Imaging Data Exchange initiative. Our analysis establishes significant differences in structural connectome organization in individuals with autism relative to controls, with strong between-group effects in low-level somatosensory regions and moderate effects in high-level association cortices. Computational models reveal that the degree of macroscale anomalies is related to atypical increases of recurrent excitation/inhibition, as well as subcortical inputs into cortical microcircuits, especially in sensory and motor areas. Transcriptomic association analysis based on postmortem datasets identifies genes expressed in cortical and thalamic areas from childhood to young adulthood. Finally, supervised machine learning finds that the macroscale perturbations are associated with symptom severity scores on the Autism Diagnostic Observation Schedule. Together, our analyses suggest that atypical subcortico-cortical interactions are associated with both microcircuit and macroscale connectome differences in autism.

Similarity of Computations Across Domains Does Not Imply Shared Implementation: The Case of Language Comprehension

2021 ◽  
Vol 30 (6) ◽  
pp. 526-534
Author(s):  
Evelina Fedorenko ◽  
Cory Shain
Keyword(s):  
Language Processing ◽  
Language Comprehension ◽  
Fluid Intelligence ◽  
Linguistic Knowledge ◽  
Domain Specific ◽  
Cognitive Operations ◽  
High Level ◽  
General Circuits ◽  
The Mind ◽  
Language Network

Understanding language requires applying cognitive operations (e.g., memory retrieval, prediction, structure building) that are relevant across many cognitive domains to specialized knowledge structures (e.g., a particular language’s lexicon and syntax). Are these computations carried out by domain-general circuits or by circuits that store domain-specific representations? Recent work has characterized the roles in language comprehension of the language network, which is selective for high-level language processing, and the multiple-demand (MD) network, which has been implicated in executive functions and linked to fluid intelligence and thus is a prime candidate for implementing computations that support information processing across domains. The language network responds robustly to diverse aspects of comprehension, but the MD network shows no sensitivity to linguistic variables. We therefore argue that the MD network does not play a core role in language comprehension and that past findings suggesting the contrary are likely due to methodological artifacts. Although future studies may reveal some aspects of language comprehension that require the MD network, evidence to date suggests that those will not be related to core linguistic processes such as lexical access or composition. The finding that the circuits that store linguistic knowledge carry out computations on those representations aligns with general arguments against the separation of memory and computation in the mind and brain.

German Seismic and Infrasound Networks Contributing to the European Integrated Data Archive (EIDA)

2021 ◽  
Vol 92 (3) ◽  
pp. 1854-1875 ◽  
Author(s):  
Klaus Stammler ◽  
Monika Bischoff ◽  
Andrea Brüstle ◽  
Lars Ceranna ◽  
Stefanie Donner ◽  
...  
Keyword(s):  
Information Transfer ◽  
Data Exchange ◽  
Seismic Hazard Assessment ◽  
Data Archive ◽  
Waveform Data ◽  
Level Data ◽  
Data Products ◽  
Global Seismicity ◽  
High Level ◽  
Test Ban

Abstract Germany has a long history in seismic instrumentation. The installation of the first station sites was initiated in those regions with seismic activity. Later on, with an increasing need for seismic hazard assessment, seismological state services were established over the course of several decades, using heterogeneous technology. In parallel, scientific research and international cooperation projects triggered the establishment of institutional and nationwide networks and arrays also focusing on topics other than monitoring local or regional areas, such as recording global seismicity or verification of the compliance with the Comprehensive Nuclear-Test-Ban Treaty. At each of the observatories and data centers, an extensive analysis of the recordings is performed providing high-level data products, for example, earthquake catalogs, as a base for supporting state or federal authorities, to inform the public on topics related to seismology, and for information transfer to international institutions. These data products are usually also accessible at websites of the responsible organizations. The establishment of the European Integrated Data Archive (EIDA) led to a consolidation of existing waveform data exchange mechanisms and their definition as standards in Europe, along with a harmonization of the applied data quality assurance procedures. In Germany, the German Regional Seismic Network as national backbone network and the state networks of Saxony, Saxony-Anhalt, Thuringia, and Bavaria spearheaded the national contributions to EIDA. The benefits of EIDA are attracting additional state and university networks, which are about to join the EIDA community now.

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