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Literatura académica sobre el tema "Distributed environment simulator"

Autor: Grafiati

Publicado: 25 de mayo de 2024

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Artículos de revistas sobre el tema "Distributed environment simulator"

Park, Seongjoon, Woong Gyu La, Woonghee Lee y Hwangnam Kim . "Devising a Distributed Co-Simulator for a Multi-UAV Network". Sensors 20, n.º 21 (30 de octubre de 2020): 6196. http://dx.doi.org/10.3390/s20216196.

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Practical evaluation of the Unmanned Aerial Vehicle (UAV) network requires a lot of money to build experiment environments, which includes UAVs, network devices, flight controllers, and so on. To investigate the time-sensitivity of the multi-UAV network, the influence of the UAVs’ mobility should be precisely evaluated in the long term. Although there are some simulators for UAVs’ physical flight, there is no explicit scheme for simulating both the network environment and the flight environments simultaneously. In this paper, we propose a novel co-simulation scheme for the multiple UAVs network, which performs the flight simulation and the network simulation simultaneously. By considering the dependency between the flight status and networking situations of UAV, our work focuses on the consistency of simulation state through synchronization among simulation components. Furthermore, we extend our simulator to perform multiple scenarios by exploiting distributed manner. We verify our system with respect to the robustness of time management and propose some use cases which can be solely simulated by this.

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Tanveer, Muhammad Hassan, Antony Thomas, Waqar Ahmed y Hongxiao Zhu. "Estimate the Unknown Environment with Biosonar Echoes—A Simulation Study". Sensors 21, n.º 12 (18 de junio de 2021): 4186. http://dx.doi.org/10.3390/s21124186.

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Unmanned aerial vehicles (UAVs) have shown great potential in various applications such as surveillance, search and rescue. To perform safe and efficient navigation, it is vitally important for a UAV to evaluate the environment accurately and promptly. In this work, we present a simulation study for the estimation of foliage distribution as a UAV equipped with biosonar navigates through a forest. Based on a simulated forest environment, foliage echoes are generated by using a bat-inspired bisonar simulator. These biosonar echoes are then used to estimate the spatial distribution of both sparsely and densely distributed tree leaves. While a simple batch processing method is able to estimate sparsely distributed leaf locations well, a wavelet scattering technique coupled with a support vector machine (SVM) classifier is shown to be effective to estimate densely distributed leaves. Our approach is validated by using multiple setups of leaf distributions in the simulated forest environment. Ninety-seven percent accuracy is obtained while estimating thickly distributed foliage.

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Lalonde, B. "Converging towards synthetic environment interoperability". Aeronautical Journal 112, n.º 1129 (marzo de 2008): 171–77. http://dx.doi.org/10.1017/s0001924000002104.

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Abstract The evolution of simulators from proprietary hardware platforms to affordable commercial-off-the-shelf (COTS) platforms has gone on for the past 15 years and is now nearly complete. Nevertheless, past efforts to standardise simulator synthetic environments (SE) have only been partially successful and have engendered considerable aggravation for users in need of creating content that can be deployed to distributed full-mission simulators. This paper provides a detailed description of the SE generation pipeline and the reasoning that has modeled its evolution over the past few decades. The arrival of digital multi-spectral high-resolution satellite imagery and highly capable visual systems now requires orders of magnitude more storage and processing than equivalent databases just a few years ago. These factors are threatening the equilibrium of the SE pipeline and are becoming important elements affecting SE interoperability, portability and re-usability. Past design trade-offs and compromises, appropriate at the time, must now be re-examined along with all SE-related processes, starting from ingestion of raw source data right through to the processing by the simulator devices. Clearly, greater standardisation is needed within the simulation community and a comprehensive, open SE representation would palliate to the many challenges we now face. To this end, this paper provides a checklist of the characteristics for a future ‘ideal’ SE representation and evaluates four emerging synthetic environment initiatives against this extensive checklist.

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Stytz, Martin R., Philip Amburn, Patricia K. Lawlis y Keith Shomper. "Virtual Environments Research in the Air Force Institute of Technology Virtual Environments, 3-D Medical Imaging, and Computer Graphics Laboratory". Presence: Teleoperators and Virtual Environments 4, n.º 4 (enero de 1995): 417–30. http://dx.doi.org/10.1162/pres.1995.4.4.417.

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The Air Force Institute of Technology Virtual Environments, 3-D Medical Imaging, and Computer Graphics Laboratory is investigating the 3-D computer graphics, user-interface design, networking protocol, and software architecture aspects of distributed virtual environments. In this paper we describe the research projects that are underway in the laboratory. These projects include the development of an aircraft simulator for a distributed virtual environment, projects for observing, analyzing, and understanding virtual environments, a space virtual environment, a project that incorporates “live” aircraft range data into a distributed virtual environment, a virtual environment application framework, and a project for use in a hospital emergency department. We also discuss the research equipment infrastructure in the laboratory, recent publications, and the educational services we provide.

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Riskhan, Basheer, Halawati Abd Jalil Safuan, Khalid Hussain, Asma Abbas Hassan Elnour, Abdelzahir Abdelmaboud, Fazlullah Khan y Mahwish Kundi. "An Adaptive Distributed Denial of Service Attack Prevention Technique in a Distributed Environment". Sensors 23, n.º 14 (21 de julio de 2023): 6574. http://dx.doi.org/10.3390/s23146574.

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Cyberattacks in the modern world are sophisticated and can be undetected in a dispersed setting. In a distributed setting, DoS and DDoS attacks cause resource unavailability. This has motivated the scientific community to suggest effective approaches in distributed contexts as a means of mitigating such attacks. Syn Flood is the most common sort of DDoS assault, up from 76% to 81% in Q2, according to Kaspersky’s Q3 report. Direct and indirect approaches are also available for launching DDoS attacks. While in a DDoS attack, controlled traffic is transmitted indirectly through zombies to reflectors to compromise the target host, in a direct attack, controlled traffic is sent directly to zombies in order to assault the victim host. Reflectors are uncompromised systems that only send replies in response to a request. To mitigate such assaults, traffic shaping and pushback methods are utilised. The SYN Flood Attack Detection and Mitigation Technique (SFaDMT) is an adaptive heuristic-based method we employ to identify DDoS SYN flood assaults. This study suggested an effective strategy to identify and resist the SYN assault. A decision support mechanism served as the foundation for the suggested (SFaDMT) approach. The suggested model was simulated, analysed, and compared to the most recent method using the OMNET simulator. The outcome demonstrates how the suggested fix improved detection.

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MARCHAL, PAUL, MURALI JAYAPALA, SAMUEL XAVIER DE SOUZA, PENG YANG, FRANCKY CATTHOOR y G. DECONINCK. "MATADOR: AN EXPLORATION ENVIRONMENT FOR SYSTEM-DESIGN". Journal of Circuits, Systems and Computers 11, n.º 05 (octubre de 2002): 503–35. http://dx.doi.org/10.1142/s0218126602000598.

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We present a modular platform simulation environment to estimate the energy consumption and performance of distributed systems in a Systems-on-Chip context. We use the simulation environment to support the development of our high-level design methodologies. More in particular, we steer and verify the development of a task-level data transfer and storage methodology, the development of a task-level scheduling methodology and the development of an instruction memory management methodology. All of these methodologies are focussed on reducing the overall energy consumption of the complex dynamic system on a heterogeneous platform architecture. Compared to research in the academic and industrial context, our contribution is to integrate in a scalable way existing energy and performance simulators of the components of a heterogeneous multiprocessor SoC. Also a novel instruction memory hierarchy is included. The simulation environment consists of multiple processing nodes connected to a distributed memory hierarchy. To reduce the energy consumption of the system, both the processing nodes as well as the memory architecture can be varied: the processing voltage of each node can be tuned and the memory hierarchy can be fully customized. The integration of dynamic real-time applications on this platform is simplified by the availability of a multi-processor RTOS. The use of the simulator to develop our high-level design methodologies is illustrated on real-life multimedia applications.

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Ali, Hamid M., Nidhal Ezzat y Wisam F. Kadhim. "DEVELOPMENT OF A LAN SIMULATION TOOL BASED ON WINDOWS ENVIRONMENT". Journal of Engineering 15, n.º 04 (1 de diciembre de 2009): 4364–77. http://dx.doi.org/10.31026/j.eng.2009.04.18.

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The Internet’s rapid growth has spurred the development of new protocols and algorithms to meet changing operational requirements such as security, multicast transport, mobile networking, policy management, and quality of service support. Development and evaluation of these operational tools requires answering many design questions. This work proposes a computer network simulation program, devoted for wired LAN systems. The simulator would be able to work under Microsoft Windows NT platforms, also it has the potential to provide an emulation environment which should be suitable for testing protocols above the TCP layer under the Windows NT platform supported network layers, and offering scalability by running the simulator under distributed network system.

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Meyer, Max-Arno, Lina Sauter, Christian Granrath, Hassen Hadj-Amor y Jakob Andert. "Simulator Coupled with Distributed Co-Simulation Protocol for Automated Driving Tests". Automotive Innovation 4, n.º 4 (16 de octubre de 2021): 373–89. http://dx.doi.org/10.1007/s42154-021-00161-1.

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AbstractTo meet the challenges in software testing for automated vehicles, such as increasing system complexity and an infinite number of operating scenarios, new simulation methods must be developed. Closed-loop simulations for automated driving (AD) require highly complex simulation models for multiple controlled vehicles with their perception systems as well as their surrounding context. For the realization of such models, different simulation domains must be coupled with co-simulation. However, widely supported model integration standards such as functional mock-up interface (FMI) lack native support for distributed platforms, which is a key feature for AD due to the computational intensity and platform exclusivity of certain models. The newer FMI companion standard distributed co-simulation protocol (DCP) introduces platform coupling but must still be used in conjunction with AD co-simulations. As part of an assessment framework for AD, this paper presents a DCP compliant implementation of an interoperable interface between a 3D environment and vehicle simulator and a co-simulation platform. A universal Python wrapper is implemented and connected to the simulator to allow its control as a DCP slave. A C-code-based interface enables the co-simulation platform to act as a DCP master and to realize cross-platform data exchange and time synchronization of the environment simulation with other integrated models. A model-in-the-loop use case is performed with the traffic simulator CARLA running on a Linux machine connected to the co-simulation master xMOD on a Windows computer via DCP. Several virtual vehicles are successfully controlled by cooperative adaptive cruise controllers executed outside of CARLA. The standard compliance of the implementation is verified by exemplary connection to prototypic DCP solutions from 3rd party vendors. This exemplary application demonstrates the benefits of DCP compliant tool coupling for AD simulation with increased tool interoperability, reuse potential, and performance.

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Gurieiev, V. O. y O. V. Sanginova. "DISTRIBUTED SIMULATION ENVIRONMENT OF MODES FOR FULL-SCALE MODE SIMULATOR FOR UKRAINIAN ENERGY SYSTEMS". Tekhnichna Elektrodynamika 2016, n.º 5 (6 de septiembre de 2016): 67–69. http://dx.doi.org/10.15407/techned2016.05.067.

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Lü, Zhi, Zhan Gao y Yi Lü. "A Flight Simulator that Grouping Aircrafts Simultaneously Take off and Land in Open Grid Computing Environment". Applied Mechanics and Materials 182-183 (junio de 2012): 1292–97. http://dx.doi.org/10.4028/www.scientific.net/amm.182-183.1292.

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The performance of airplane in commercial airline environment is determined by, and therefore an indicator of performance measure of, the thermodynamic properties of airplane. The aim of this study was to establish the use of simulators to determine aircraft accident for a flight of airplanes and evaluate the potential of new airspace structure and airport’s runway. This indicates that there is a possibility of obtaining airplane performance from analysis and verification simulating airplane. As compared with AIRBUS Full Flight Simulator, a multiple aircrafts flight simulator that grouping aircrafts simultaneously take off and land was presented, which is basis on a parallel distributed computing in Open Grid Computing Environment (OGCE), and service oriented architecture (SOA) of software in multiple aircraft simulator, the performance of collaborative flight of multiple aircrafts is evaluated.

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Tesis sobre el tema "Distributed environment simulator"

Alvarez, Valera Hernan Humberto. "An energy saving perspective for distributed environments : Deployment, scheduling and simulation with multidimensional entities for Software and Hardware". Electronic Thesis or Diss., Pau, 2022. https://theses.hal.science/tel-04116013.

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De nos jours, la forte croissance économique et les conditions météorologiques extrêmes ont augmenté la demande mondiale d'électricité de plus de 6 % en 2021 après la pandémie de COVID. La reprise rapide de cette demande a rapidement augmenté la consommation d'électricité. Même si les sources renouvelables présentent une croissance significative, la production d'électricité à partir de sources de charbon et de gaz a atteint un niveau historique. D'autre part, la consommation d'énergie du secteur du numérique dépend de sa croissance et de son degré d'efficacité énergétique. À ce sujet, bien que les appareils à tous les niveaux de déploiement soient aujourd'hui économes en énergie, leur utilisation massive signifie que la consommation énergétique mondiale continue de croître.Toutes ces données montrent la nécessité d'utiliser l'énergie de ces appareils à bon escient. Pour cette raison, ce travail de thèse aborde le (re)déploiement dynamique de composants logiciels (conteneurs ou machines virtuelles) et de leurs données pour économiser de l'énergie. Dans cette mesure, nous avons conçu et développé des algorithmes intelligents d'ordonnancement distribué pour réduire la consommation électrique globale tout en préservant la qualité de service des applications.De tels algorithmes exécutent des procédures de migration et de duplication en tenant compte de la relation naturelle entre la charge/les fonctionnalités des composants matériels et la consommation d'énergie. Pour cela, ils mettent en place une nouvelle manière de négociations décentralisées basée sur un middleware distribué que nous avons créé (Kaligreen) et des structures de données multidimensionnelles.Pour exploiter et évaluer les algorithmes ci-dessus, des outils appropriés concernant les solutions matérielles et logicielles sont essentiels. Ici, notre choix a été de développer notre propreoutil de simulation appelé : PISCO.PISCO est un simulateur polyvalent et simple qui permet aux utilisateurs de se concentrer uniquement sur leurs stratégies de planification. Il permet d'abstraire les topologies de réseau sous forme de structures de données dont les éléments sont des dispositifs indexés par un ou plusieurs critères. De plus, il imite l'exécution de microservices en allouant des ressources selon diverses heuristiques de planification.Nous avons utilisé PISCO pour implémenter, exécuter et tester nos algorithmes de planification
Nowadays, strong economic growth and extreme weather conditions increased global electricity demand by more than 6% in 2021 after the COVID pandemic. The fast recovery regarding this demand rapidly increased electricity consumption. Even though renewable sources present a significant growth, electricity production from both coal and gas sources has reached a historical level.On the other hand, the consumption of energy by the digital technology sector depends on its growth and its degree of energy efficiency. On this matter, although devices at all deployment levels are energy efficient today, their massive use means that global energy consumption continues to grow.All these data show the need to use the energy of these devices wisely. For that reason, this thesis work addresses the dynamic (re)deployment of software components (containers or virtual machines) and their data to save energy. To this extent, we designed and developed intelligent distributed scheduling algorithms to decrease global power consumption while preserving the applications' quality of service.Such algorithms execute migrations and duplications procedures considering the natural relation between hardware components' load/features and power consumption. For that, they implement a novel manner of decentralized negotiations based on a distributed middleware we created (Kaligreen) and multidimensional data structures.To operate and assess the algorithms above, appropriate tools regarding hardware and software solutions are essential. Here, our choice was to develop our ownsimulation tool called: PISCO.PISCO is a versatile and straightforward simulator that allows users to concentrate only on their scheduling strategies. It enables network topologies to be abstracted as data structures whose elements are devices indexed by one or more criteria. Additionally, it mimics the execution of microservices by allocating resources according to various scheduling heuristics.We have used PISCO to implement, run and test our scheduling algorithms

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Agyeman, Addai Daniel. "A Cloud Based Framework For Managing Requirements Change In Global Software Development". University of Cincinnati / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1593266480093711.

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Ma, Qingwei. "Distributed Manufacturing Simulation Environment". Ohio University / OhioLINK, 2002. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1038409280.

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Yu, Xiaoning. "Distributed interactive simulation". Thesis, Brunel University, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.310078.

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Chiou, Jen-Diann. "A distributed simulation environment for multibody physics". Thesis, Massachusetts Institute of Technology, 1998. http://hdl.handle.net/1721.1/50509.

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Thesis (Ph.D.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 1998.
Includes bibliographical references (leaves 128-134).
A distributed simulation environment, which can be used to model multibody physics, is developed. The software design is based on the object oriented paradigm and is implemented in C++ to run on a single workstation or multiple processors in parallel. It provides facilities to set up a multibody physics simulation, including arbitrary 3D geometric representation, particle interactions such as contacts and constraints, and visualization for postprocessing. Contact detection, the process of automatic identifying the geometric overlap between objects, is generally the most time-consuming procedure in the overall discrete element analysis pipeline. The computational cost of contact detection grows as a function of both the number of particles and the complexity of the geometric representation of each body. This thesis presents algorithms that significantly reduce the computational cost of the contact detection problem. The hashtable-based spatial reasoning algorithm demonstrates an O(M) performance, where M is the number of particles in the simulation system for a restricted set of particles. The discrete function representation (DFR) scheme is employed to model the surface geometry of complex 3D objects. DFR-based contact detection between a pair of objects exhibits an O(N) running time performance, where N is the number of surface point used to represent each object. In practice this results in a significant speedup over traditional techniques. A distributed DEM simulation environment is built on top of a set of software tools which exploit the parallelism embedded in the DEM analysis and which take advantage of a high-speed communications network to achieve good parallel performance. The goal is of reducing the entire computing time of of large-scale simulation problems to order O(N) is shown to be achieveable using the algorithms described.
by Jen-Diann Chiou.
Ph.D.

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Mao, Wei Ph D. Massachusetts Institute of Technology. "Scalable, probabilistic simulation in a distributed design environment". Thesis, Massachusetts Institute of Technology, 2008. http://hdl.handle.net/1721.1/55254.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2008.
Cataloged from PDF version of thesis.
Includes bibliographical references (p. 110-114).
Integrated simulations have been used to predict and analyze the integrated behavior of large, complex product and technology systems throughout their design cycles. During the process of integration, uncertainties arise from many sources, such as material properties, manufacturing variations, inaccuracy of models and so on. Concerns about uncertainty and robustness in large-scale integrated design can be significant, especially under the situations where the system performance is sensitive to the variations. Probabilistic simulation can be an important tool to enable uncertainty analysis, sensitivity analysis, risk assessment and reliability-based design in integrated simulation environments. Monte Carlo methods have been widely used to resolve probabilistic simulation problems. To achieve desired estimation accuracy, typically a large number of samples are needed. However, large integrated simulation systems are often computationally heavy and time-consuming due to their complexity and large scale, making the conventional Monte Carlo approach computationally prohibitive. This work focuses on developing an efficient and scalable approach for probabilistic simulations in integrated simulation environments. A predictive machine learning and statistical approach is proposed in this thesis.
(cont.) Using random sampling of the system input distributions and running the integrated simulation for each input state, a random sample of limited size can be attained for each system output. Based on this limited output sample, a multilayer, feed-forward neural network is constructed as an estimator for the underlying cumulative distribution function. A mathematical model for the cumulative probability distribution function is then derived and used to estimate the underlying probability density function using differentiation. Statistically processing the sample used by the neural network is important so as to provide a good training set to the neural network estimator. Combining the statistical information from the empirical output distribution and the kernel estimation, a training set containing as much information about the underlying distribution as possible is attained. A back-propagation algorithm using adaptive learning rates is implemented to train the neural network estimator. To incorporate a required cumulative probability distribution function monotonicity hint into the learning process, a novel hint-reinforced back-propagation approach is created. The neural network estimator trained by empirical and kernel information (NN-EK estimator) can then finally be attained. To further improve the estimation, the statistical method of bootstrap aggregating (Bagging) is used. Multiple versions of the estimator are generated using bootstrap resampling and are aggregated to improve the estimator. A prototype implementation of the proposed approach is developed and test results on different models show its advantage over the conventional Monte Carlo approach in reducing the time by tens of times to achieve the same level of estimation accuracy.
by Wei Mao.
Ph.D.

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Lopes, Diaz Adriana Carleton University Dissertation Computer Science. "An Object-oriented reflective simulation environment for distributed algorithms". Ottawa, 1996.

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Jang, Duh 1957. "Realization of distributed experimental frame in DEVS-SCHEME and simulation environment". Thesis, The University of Arizona, 1988. http://hdl.handle.net/10150/276665.

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The thesis describes a realization of distributed experimental frame concepts in DEVS-SCHEME, an object-oriented simulation environment. Also discussed, are the design and implementation issues concerning the attachments of frame components to a model in a given model structure. The algorithm for the attachments is derived to set up the model composition and model couplings when needed. An example of a simplified computer system which consists of a CPU, and a memory management (MGMT), is presented to demonstrate how such a system is observed and experimented with under centralized and decentralized experimental frames. A graphical interactive interface is provided to facilitate the attachments of frame components to models. The simulation shows that the theory regarding decentralized experimental frames is correct and feasible. Some prospective research topics and future study activities are also brought up.

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Miller, John. "Distributed virtual environment scalability and security". Thesis, University of Cambridge, 2011. https://www.repository.cam.ac.uk/handle/1810/241109.

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Distributed virtual environments (DVEs) have been an active area of research and engineering for more than 20 years. The most widely deployed DVEs are network games such as Quake, Halo, and World of Warcraft (WoW), with millions of users and billions of dollars in annual revenue. Deployed DVEs remain expensive centralized implementations despite significant research outlining ways to distribute DVE workloads. This dissertation shows previous DVE research evaluations are inconsistent with deployed DVE needs. Assumptions about avatar movement and proximity - fundamental scale factors - do not match WoW's workload, and likely the workload of other deployed DVEs. Alternate workload models are explored and preliminary conclusions presented. Using realistic workloads it is shown that a fully decentralized DVE cannot be deployed to today's consumers, regardless of its overhead. Residential broadband speeds are improving, and this limitation will eventually disappear. When it does, appropriate security mechanisms will be a fundamental requirement for technology adoption. A trusted auditing system ('Carbon') is presented which has good security, scalability, and resource characteristics for decentralized DVEs. When performing exhaustive auditing, Carbon adds 27% network overhead to a decentralized DVE with a WoW-like workload. This resource consumption can be reduced significantly, depending upon the DVE's risk tolerance. Finally, the Pairwise Random Protocol (PRP) is described. PRP enables adversaries to fairly resolve probabilistic activities, an ability missing from most decentralized DVE security proposals. Thus, this dissertations contribution is to address two of the obstacles for deploying research on decentralized DVE architectures. First, lack of evidence that research results apply to existing DVEs. Second, the lack of security systems combining appropriate security guarantees with acceptable overhead.

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Chen, Min. "A distributed object-oriented discrete event-driven simulation environment-DODESE". FIU Digital Commons, 1991. http://digitalcommons.fiu.edu/etd/2140.

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A new distributed object-oriented discrete event-driven simulation environment, DODESE, is developed to provide a common framework for simulation model design and implementation. The DODESE can be used to define a simulation including all the simulation objects participating in the simulation while the execution of the simulation can be interactively monitored on DODESE. The DODESE system has combined the strengths of both object-oriented paradigms and data base technology to make computer simulation more powerful and has achieved the goals of object-orientation, distribution, reusability, maintainability and extensibility. The system runs on two Sun workstations concurrently connected by an Ethernet. One of the workstations performs the simulation tasks while the other workstation displays the status of the simulation interactively. Both workstations communicate through the GemStone data base, thus a mechanism is designed for synchronization and concurrency control. The DODESE is implemented using OPAL, GemStone’s data definition and manipulation language, C and Xlib.

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Más fuentes

Libros sobre el tema "Distributed environment simulator"

Ikonen, Jouni. Improving distributed simulation in a workstation environment. Lappeenranta: Lappeenranta University of Technology, 2001.

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United States. Congress. Office of Technology Assessment., ed. Distributed interactive simulation of combat. Washington, DC: Office of Technology Assessment, Congress of the U.S., 1995.

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Porras, Jari. Developing a distributed simulation environment on a cluster of workstations. Lappeenranta, Finland: Lappeenranta University of Technology, 1998.

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U.S. Army Research Institute for the Behavioral and Social Sciences. ARI Field Unit at Fort Knox, ed. Catalog of training tools for use in Distributed Interactive Simulation (DIS) environments. [Fort Knox, Ky.]: Fort Knox Field Unit, Training Systems Research Division, U.S. Army Research Institute for the Behavioral and Social Sciences, 1994.

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Kapp, John J. Utilization of a virtual environment for combat information center training. Monterey, Calif: Naval Postgraduate School, 1997.

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L, Clarke Thomas y Society of Photo-optical Instrumentation Engineers., eds. Distributed interactive simulation systems for simulation and training in the aerospace environment: Proceedings of a conference held 19-20 April 1995, Orlando, Florida. Bellingham, Wash: SPIE Optical Engineering Press, 1995.

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Design and Prototype of the AFIT Virtual Emergency Room: A Distributed Virtual Environment for Emergency Medical Simulation. Storming Media, 1996.

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Capítulos de libros sobre el tema "Distributed environment simulator"

Samridhi y Ramiro Liscano. "Performance Evaluation of SDN-WISE Against RPL-Based Ad-Hoc Wireless Sensor Network Using the Cooja Simulator". En 3rd International Conference on Wireless, Intelligent and Distributed Environment for Communication, 31–39. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-44372-6_3.

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Ohwada, Hayato y Fumio Mizoguchi. "A Qualitative Quantitative Simulator Based on Constraint Logic Programming". En Distributed Environments, 107–22. Tokyo: Springer Japan, 1991. http://dx.doi.org/10.1007/978-4-431-68144-1_8.

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Lees, Michael, Brian Logan, Rob Minson, Ton Oguara y Georgios Theodoropoulos. "Modelling Environments for Distributed Simulation". En Environments for Multi-Agent Systems, 150–67. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/978-3-540-32259-7_8.

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Straßburger, Steffen, Thomas Schulze y Richard Fujimoto. "Future Trends in Distributed Simulation and Distributed Virtual Environments". En Advancing the Frontiers of Simulation, 231–61. Boston, MA: Springer US, 2009. http://dx.doi.org/10.1007/b110059_11.

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Igbe, Damian, N. Kalantery, S. E. Ijaha y S. C. Winter. "Parallel Traffic Simulation in Spider Programming Environment". En Distributed and Parallel Systems, 165–72. Boston, MA: Springer US, 2002. http://dx.doi.org/10.1007/978-1-4615-1167-0_20.

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Tolk, Andreas. "Modeling the Environment". En Engineering Principles of Combat Modeling and Distributed Simulation, 93–111. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2012. http://dx.doi.org/10.1002/9781118180310.ch6.

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Scahill, Mark. "Distributed Individual-Based Environmental Simulation". En IFIP Advances in Information and Communication Technology, 269–76. Boston, MA: Springer US, 1997. http://dx.doi.org/10.1007/978-1-5041-2869-8_35.

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Santos, Arlindo y Helena Rodrigues. "Evaluating Ubiquitous Computing Environments Using 3D Simulation". En Distributed, Ambient, and Pervasive Interactions, 109–18. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-20804-6_10.

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Jamshidi, M., S. Sheikh-Bahaei, J. Kitzinger, P. Sridhar, S. Xia, Y. Wang, J. Liu et al. "A Distributed Intelligent Discrete-Event Environment For Autonomous Agents Simulation". En Applied System Simulation, 241–74. Boston, MA: Springer US, 2003. http://dx.doi.org/10.1007/978-1-4419-9218-5_11.

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Kim, Chang-Hoon, Tae-Dong Lee, Sun-Chul Hwang y Chang-Sung Jeong. "Grid-Based Parallel and Distributed Simulation Environment". En Lecture Notes in Computer Science, 503–8. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-45145-7_46.

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Actas de conferencias sobre el tema "Distributed environment simulator"

Rodrigues, Cristiano, Daniel Castro Silva, Rosaldo J. F. Rossetti y Eugenio Oliveira. "Distributed flight simulation environment using flight simulator X". En 2015 10th Iberian Conference on Information Systems and Technologies (CISTI). IEEE, 2015. http://dx.doi.org/10.1109/cisti.2015.7170615.

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Janacik, Peter, Johannes Lessmann y Michael Karch. "Distributed Simulation Environment for the ShoX Network Simulator". En 2010 Sixth International Conference on Networking and Services (ICNS). IEEE, 2010. http://dx.doi.org/10.1109/icns.2010.35.

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Chandramohan, D., S. K. V. Jayakumar, Shailesh Khapre y M. S. Nanda Kishore. "Dwse-simulator for distributed web service environment". En 2011 International Conference on Recent Trends in Information Technology (ICRTIT). IEEE, 2011. http://dx.doi.org/10.1109/icrtit.2011.5972294.

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Rieck, David, Björn Schünemann, Ilja Radusch y Christoph Meinel. "Efficient traffic simulator coupling in a distributed V2X simulation environment". En 3rd International ICST Conference on Simulation Tools and Techniques. ICST, 2010. http://dx.doi.org/10.4108/icst.simutools2010.8640.

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Montoya, Juan, Ron Brandl, Mike Vogt, Frank Marten, Marios Maniatopoulos y Alejandra Fabian. "Asynchronous Integration of a Real-Time Simulator to a Geographically Distributed Controller Through a Co-Simulation Environment". En IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society. IEEE, 2018. http://dx.doi.org/10.1109/iecon.2018.8591486.

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Aksu, Murat, John L. Michaloski y Frederick M. Proctor. "Virtual Experimental Investigation for Industrial Robotics in Gazebo Environment". En ASME 2018 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/imece2018-87686.

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Measuring the agility performance of the industrial robots as they are performing in unstructured and dynamic environments is a thought-provoking research topic. This paper investigates the development of industrial robotic simulation algorithms for the effective application of robots in those changing environments. The distributed framework for this investigation is the Robot Operating System (ROS) which is extensively used in robotic applications. ROS-Industrial (ROS I), which extends the capabilities of ROS to manufacturing, allows us to interoperate between industrial robots, sensors, communication buses and other kinds of automation tools. Gazebo is used as the open-source 3D simulator to design a virtual industrial robotic system, which is a prevailing tool as a node in the ROS environment. An effort is underway to replicate the in-house experimental robotic kitting lab with a graphical physics simulation that can be shared worldwide. This graphical physics simulation is not tied to a specific robotic control system. An experimental approach will be presented detailing the issues related to a physics based simulation of kitting with multiple collaborative robots, multiple tools, parts, tool changers, safety system, and sensors. In this realm, the ability for the simulation environment to encompass the current system as well as additional more complex sensors and actuators will be discussed. To make this simulation environment more realistic, Gaussian noise will be introduced to the data generated by virtual sensors. We expect that this experimental approach will be a seamless way for users to verify and validate their control systems even if they do not have a physical robot at their facilities.

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Heshmat, Hooshang y James F. Walton. "On the Development of an Oil-Free, High-Speed and High-Temperature Turboalternator". En ASME Turbo Expo 2010: Power for Land, Sea, and Air. ASMEDC, 2010. http://dx.doi.org/10.1115/gt2010-22852.

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In the paper the authors will present the design and preliminary test results for a distributed electric generating system that uses renewable energy sources for economical load-following and peak-shaving capability in an oil-free, high-speed micro-turboalternator system using compliant foil bearings and a permanent magnet alternator. The high operating temperatures and speeds required to make the Renewable Energy Turbo-Alternator (RETA) an efficient and cost effect system require that oil-free compliant foil bearings be used and that the alternator section be isolated from the turbine. Preliminary simulator testing compares well with design predictions and shows a stable rotordynamic and thermal environment.

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Thompson, Thomas V., Donald D. Nelson, Elaine Cohen y John Hollerbach. "Maneuverable NURBS Models Within a Haptic Virtual Environment". En ASME 1997 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 1997. http://dx.doi.org/10.1115/imece1997-0375.

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Abstract Haptic rendering should not be limited to immobile polygonal models. This paper presents a system that performs Direct Parametric Tracing (DPT) on maneuverable Non-Uniform Rational B-Splines (NURBS) models without the use of an intermediate representation. The system distributes computation between an advanced CAD modeling system and a microprocessor controller for a Sarcos force-reflecting exo-skeleton arm. Methods ranging from model manipulation to simulation of the dynamics of simple assemblies are discussed. Solutions to synchronicity issues that arise in such a distributed system are also described.

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Chen, F. X., X. N. Wang, J. Zhu y P. Jiang. "Path planning in distributed intelligent environment". En 2012 International Conference on System Simulation (ICUSS 2012). IET, 2012. http://dx.doi.org/10.1049/cp.2012.0486.

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Lally Singh, H., Denis Gracanin y Kresimir Matkovic. "Controlling scalability of Distributed Virtual Environment systems". En 2014 Winter Simulation Conference - (WSC 2014). IEEE, 2014. http://dx.doi.org/10.1109/wsc.2014.7020184.

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Informes sobre el tema "Distributed environment simulator"

Fujimoto, Richard M. Distributed Simulation of Synthetic Environments and Wireless Networks. Fort Belvoir, VA: Defense Technical Information Center, septiembre de 1999. http://dx.doi.org/10.21236/ada369488.

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Bajaj, Chandrajit L. Modeling and Simulation in a Reconfigurable Distributed Virtual Environment. Fort Belvoir, VA: Defense Technical Information Center, diciembre de 1996. http://dx.doi.org/10.21236/ada330023.

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Pullen, M., M. Myjak y C. Bouwens. Limitations of Internet Protocol Suite for Distributed Simulation the Large Multicast Environment. RFC Editor, febrero de 1999. http://dx.doi.org/10.17487/rfc2502.

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Atwood, N. K., B. J. Winsch, K. A. Quinkert y C. K. Heiden. Catalog of Training Tools for Use in Distributed Interactive Simulation (DIS) Environments. Fort Belvoir, VA: Defense Technical Information Center, julio de 1993. http://dx.doi.org/10.21236/ada282759.

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Ayoul-Guilmard, Q., R. Badia, J. Ejarque, S. Ganesh, F. Nobile, M. Nuñez, C. Soriano, C. Roig, R. Rossi y R. Tosi. D1.3 First public Release of the solver. Scipedia, 2021. http://dx.doi.org/10.23967/exaqute.2021.2.007.

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This deliverable presents the software release of Kratos Multiphysics, together with the XMC library, Hyperloom and PyCOMPSs API definition [8]. This report is meant to serve as a supplement to the public release of the software. Kratos is “a framework for building parallel, multi-disciplinary simulation software, aiming at modularity, extensibility, and high performance. Kratos is written in C++, and counts with an extensive Python interface”. XMC is a python library for hierarchical Monte Carlo algorithms. Hyperloom and PyCOMPSs are environments for enabling parallel and distributed computation.

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Ayoul-Guilmard, Q., S. Ganesh, F. Nobile, R. Badia, J. Ejarque, L. Cirrottola, A. Froehly et al. D1.4 Final public Release of the solver. Scipedia, 2021. http://dx.doi.org/10.23967/exaqute.2021.2.009.

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This deliverable presents the final software release of Kratos Multiphysics, together with the XMC library, Hyperloom and PyCOMPSs API definitions [13]. This release also contains the latest developements on MPI parallel remeshing in ParMmg. This report is meant to serve as a supplement to the public release of the software. Kratos is “a framework for building parallel, multi-disciplinary simulation software, aiming at modularity, extensibility, and high performance. Kratos is written in C++, and counts with an extensive Python interface”. XMC is “a Python library for parallel, adaptive, hierarchical Monte Carlo algorithms, aiming at reliability, modularity, extensibility and high performance“. Hyperloom and PyCOMPSs are environments for enabling parallel and distributed computation. ParMmg is an open source software which offers the parallel mesh adaptation of three dimensional volume meshes.

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Mosalam, Khalid, Amarnath Kasalanati y Grace Kang. PEER Annual Report 2016. Pacific Earthquake Engineering Research Center, University of California, Berkeley, CA, enero de 2017. http://dx.doi.org/10.55461/anra5954.

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The Pacific Earthquake Engineering Research Center (PEER) is a multi-institutional research and education center with headquarters at the University of California, Berkeley. PEER’s mission is to develop, validate, and disseminate performance-based seismic design technologies for buildings and infrastructure to meet the diverse economic and safety needs of owners and society. The year 2016 began with a change of leadership at PEER. On January 1, Professor Khalid Mosalam became the new PEER Director as Professor Stephen Mahin completed his 6- year term. Also in early 2016, Dr. Yousef Bozorgnia stepped down from the position of Executive Director, after serving as a key member of PEER’s management team for over 12 years. Several accomplishments of the Center during the leadership of Director Mahin were recounted during the PEER Annual Meeting on January 28–29, 2016. This meeting also set the course of the Center with several new thrust areas identified for future research. During the past year, PEER has continued its track record of multi-institutional research with several multi-year Mega-Projects. The PEER Tall Buildings Initiative (TBI) was recently expanded to include assessment of the seismic performance of existing tall buildings. The California Earthquake Authority (CEA) awarded a $3.4 million, 3.5-year research contract to PEER to investigate the seismic performance of wood-frame homes with cripple walls. The project will directly contribute to the improvement of seismic resiliency of California’s housing stock. Former Director Mahin will lead a broad effort for computational modeling and simulation (SimCenter) of the effects of natural hazards on the built environment. Supported by a 5-year, $10.9-million grant from the National Science Foundation (NSF), the SimCenter is part of the Natural Hazards Engineering Research Infrastructure (NHERI) initiative, a distributed, multi-user national facility that will provide natural hazards engineers with access to research infrastructure (earthquake and wind engineering experimental facilities, cyberinfrastructure, computational modeling and simulation tools, and research data), coupled with education and community outreach activities. In addition to the Mega Projects, PEER researchers were involved in a wide range of research activities in the areas of geohazards, tsunami, and the built environment focusing on the earthquake performance of old and new reinforced concrete and steel structures, tall buildings, and bridges including rapid bridge construction. As part of its mission, PEER participated in a wide range of education and outreach activities, including a summer internship program, seminars, OpenSees days, and participation in several national and international conferences. The Center became an active board member of two prominent international organizations, namely GADRI (Global Alliance of Disaster Research Institutes) and ILEE (International Laboratory of Earthquake Engineering). PEER researchers and projects were recognized with awards from several organizations. Going forward, PEER aims to improve the profile and external exposure of the Center globally, strengthen the Business-Industry-Partnership (BIP) program, engage the Institutional Board (IB) and the Industry Advisory Board (IAB) to identify new areas of research, and explore new funding opportunities.

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Miller, Mr Michael J. DTPH56-06-T-000017 In-Field Welding and Coating Protocols. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), mayo de 2009. http://dx.doi.org/10.55274/r0012117.

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Gas Technology Institute (GTI) and Edison Welding Institute (EWI) created both laboratory and infield girth weld samples to evaluate the effects of weld geometry and hydrogen off-gassing on the performance of protective coatings. Laboratory-made plate welds were used to tightly control geometric differences and in-field welds were created to mimic real-world welding conditions and hydrogen off-gassing rates. These welds were then coated and tested with accelerated corrosion techniques to evaluate the coatings' effectiveness. Simulated girth welds investigated geometric effects on the performance of a liquid-applied coating. Welds were created, coated, and testing in a salt-fog environment to accelerate corrosion. Undercuts up to 0.03 inches were found to have no significant effect on coatings' resistance to corrosion. On the contrary, the undercut tended to add to the coating thickness and therefore increased corrosion resistance. Increasing cap height of a weld was found to thin the coating making it more susceptible to chipping but no more susceptible to corrosion. If applying proper coating procedures, especially surface profiling, the weld geometries investigated here had no strong negative effects on a liquid applied two-part epoxy coating's performance. Since fusion-bonded epoxy (FBE) coatings are applied in a different manner, these results cannot be extended from liquid to FBE coatings. If the FBE provides the same wetting of the undercut and similar coating thickness on the cap height one would expect similar results. In-field welds were created to test the effects of hydrogen off-gassing on coating performance. Two different welding mediums were used, one with a high hydrogen content and one with low hydrogen content. These different welds were then held for 2 or 5 hours to vary the amount of time allowed for hydrogen off-gassing and then coated in either FBE or a liquid 2 part epoxy. All other variables were held constant. Cross-sectional analysis of coated 24-inch diameter pipes showed no increase of voids above the welded area, indicating there was little off-gassing in these samples. Cathodic Disbondment Testing, per ASTM G-95, was performed to evaluate the coating's adhesion properties. No detectable adhesion differences were found that could be attributed to the hydrogen off-gassing from the weld, instead, the results were more dependent on the coating thickness. Within the scope/boundary of the completed research, a hold time of two hours is sufficient to minimize any hydrogen off-gassing effects. Within the parameters of the in-field welds and simulated welds, no major detrimental effects were found from hydrogen off-gassing and weld geometries. However, the higher cap-height did make coatings more susceptible to damage when handling. This confirms previous GTI research which indicated that coatings often accrue damage during handling. GTI and EWI, taking into consideration the survey and testing results produced a recommendation to be distributed to various stakeholders in the pipeline industry. The summary document to be disturbed is located in the Recommendation section of this report.

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