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Artículos de revistas sobre el tema "Distributed process simulation"

Autor: Grafiati

Publicado: 14 de diciembre de 2024

Última modificación: 31 de julio de 2025

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1

Ehrhardt, K., J. Borchardt, F. Grund, and D. Horn. "Distributed Dynamic Process Simulation." ZAMM - Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik 81, S3 (2001): 715–16. http://dx.doi.org/10.1002/zamm.200108115133.

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2

De Almeida, A. R. C., and J. Cullum. "Process Simulation Using a Distributed System." IFAC Proceedings Volumes 21, no. 2 (1988): 45–52. http://dx.doi.org/10.1016/s1474-6670(17)53955-5.

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3

Yang, Zewen, Xiaobing Dai, and Sandra Hirche. "Asynchronous Distributed Gaussian Process Regression." Proceedings of the AAAI Conference on Artificial Intelligence 39, no. 21 (2025): 22065–73. https://doi.org/10.1609/aaai.v39i21.34359.

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In this paper, we address a practical distributed Bayesian learning problem with asynchronous measurements and predictions due to diverse computational conditions. To this end, asynchronous distributed Gaussian process (AsyncDGP) regression is proposed, which is the first effective online distributed Gaussian processes (GPs) approach to improve the prediction accuracy in real-time learning tasks. By leveraging the devised evaluation criterion and established prediction error bounds, AsyncDGP enables the distinction of contributions of each model for prediction ensembling using aggregation stra

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4

Rizvi, S. S. "A Logical Process Simulation Model for Conservative Distributed Simulation Systems." International Journal of Simulation Modelling 12, no. 2 (2013): 69–81. http://dx.doi.org/10.2507/ijsimm12(2)1.224.

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5

Krammer, Martin, Clemens Schiffer, and Martin Benedikt. "ProMECoS: A Process Model for Efficient Standard-Driven Distributed Co-Simulation." Electronics 10, no. 5 (2021): 633. http://dx.doi.org/10.3390/electronics10050633.

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Co-simulation techniques have evolved significantly over the last 10 years. System simulation and hardware-in-the-loop testing are used to develop innovative products in many industrial sectors. Despite the success of these simulation techniques, their efficient application requires a systematic approach. In practice the integration and coupling of heterogeneous systems still require enormous efforts. At this point in time no unified process for integration and simulation of DCP-based co-simulation scenarios is available. In this article we present ProMECoS, a process model for efficient, stan

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6

Santos, Raúl Alves, Julio E. Normey-Rico, Alejandro Merino Gómez, and Cesar de Prada Moraga. "DISTRIBUTED CONTINUOUS PROCESS SIMULATION: AN INDUSTRIAL CASE STUDY." IFAC Proceedings Volumes 38, no. 1 (2005): 147–52. http://dx.doi.org/10.3182/20050703-6-cz-1902.01600.

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7

Santos, Raúl Alves, Julio E. Normey-Rico, Alejandro Merino Gómez, Luis Felipe Acebes Arconada, and Cesar de Prada Moraga. "Distributed continuous process simulation: An industrial case study." Computers & Chemical Engineering 32, no. 6 (2008): 1195–205. http://dx.doi.org/10.1016/j.compchemeng.2007.04.022.

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8

Wack, Thorsten, Andreas Schröder, and Evren Yildiz. "Architecture of a Distributed Process Co‐simulation Framework." Chemie Ingenieur Technik 92, no. 10 (2020): 1618–25. http://dx.doi.org/10.1002/cite.202000074.

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9

Liao, Yilong. "Distributed feedback design in heating process control." Journal of Physics: Conference Series 2905, no. 1 (2024): 012002. https://doi.org/10.1088/1742-6596/2905/1/012002.

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Abstract In our paper, we designed a distributed feedback control law for a fluid heating model, which is described by a one-dimensional first-order hyperbolic equation. This equation has a non-local boundary condition with time-delay terms. Further, according to geometric control theory, the distributed feedback control law ensures the exponential stability and the input-output stability in a closed-loop system. Finally, we evaluate the proposed controller performances by solving tracking and disturbance rejection problems through numerical simulation, and we compare the simulation results wi

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10

Wang, Yifan, Qianchuan Zhao, Hu Yan, and Wen Yang. "DSP, a Plug-and-Play Process-Based Distributed Algorithm Simulation Platform." Scientific Programming 2022 (February 10, 2022): 1–13. http://dx.doi.org/10.1155/2022/3886729.

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In this paper, we propose DSP (Distributed algorithm Simulation Platform), a novel process-based distributed algorithm simulation platform to simulate real distributed systems for the design and verification of distributed algorithms. DSP consists of computer processes, and each process simulates an individual distributed node. A DSP process is mainly composed of a communication module, a computation module, an internal storage module, and an external interaction module. DSP is a flexible, versatile, and scalable simulation platform. It supports the testing of applications in various fields. S

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11

Coffman, E. G., P. J. Courtois, E. N. Gilbert, and Ph Piret. "A distributed clustering process." Journal of Applied Probability 28, no. 4 (1991): 737–50. http://dx.doi.org/10.2307/3214677.

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The points of a graph G will form clusters as a result of a flow process. Initially, points i of G own resources xi which are i.i.d. random real numbers. Afterwards, resources flow between points, but always from a point to a neighbor that has accumulated a larger total resource. Thus points with small resource tend to lose it and points with large resource tend to gain. Eventually the flow stops with only two kinds of points, nulls with no resource left and absorbers with such large resource that no neighbor can take it. The final resource at an absorber is a sum of certain initial resources

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12

Coffman, E. G., P. J. Courtois, E. N. Gilbert, and Ph Piret. "A distributed clustering process." Journal of Applied Probability 28, no. 04 (1991): 737–50. http://dx.doi.org/10.1017/s0021900200042650.

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The points of a graph G will form clusters as a result of a flow process. Initially, points i of G own resources xi which are i.i.d. random real numbers. Afterwards, resources flow between points, but always from a point to a neighbor that has accumulated a larger total resource. Thus points with small resource tend to lose it and points with large resource tend to gain. Eventually the flow stops with only two kinds of points, nulls with no resource left and absorbers with such large resource that no neighbor can take it. The final resource at an absorber is a sum of certain initial resources

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13

Çakmak, Hüseyin, Anselm Erdmann, Michael Kyesswa, Uwe Kühnapfel, and Veit Hagenmeyer. "A new distributed co-simulation architecture for multi-physics based energy systems integration." at - Automatisierungstechnik 67, no. 11 (2019): 972–83. http://dx.doi.org/10.1515/auto-2019-0081.

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Abstract Simulating energy systems integration scenarios enables a comprehensive consideration of interdependencies between multimodal energy grids. It is an important part of the planning for the redesign of the current energy system infrastructure, which is essential for the foreseen drastic reduction of carbon emissions. In contrast to the complex implementation of monolithic simulation architectures, emerging distributed co-simulation technologies enable the combination of several existing single-domain simulations into one large energy systems integration simulation. Accompanying disadvan

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14

Bruschi, S. M., and R. F. de Mello. "Logical process partitioning in distributed simulation using genetic algorithms." IEEE Latin America Transactions 6, no. 1 (2008): 97–105. http://dx.doi.org/10.1109/tla.2008.4461638.

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15

Wack, Thorsten, Stefan Schlüter, Torsten Hennig, et al. "Application of Waveform Relaxation in Distributed Process Co-Simulation." Chemie Ingenieur Technik 90, no. 10 (2018): 1559–67. http://dx.doi.org/10.1002/cite.201800047.

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16

Suh, Wonho. "Graphical Analysis of Rollback Process in Ad Hoc Distributed Traffic Simulation." Applied Sciences 11, no. 1 (2020): 121. http://dx.doi.org/10.3390/app11010121.

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Recent advancements in sensor, mobile computing, and wireless communication technologies is creating new opportunities to effectively exploit real-time traffic data. Onboard vehicles collect, process, simulate traffic states in a distributed fashion and a local transportation management center coordinates the overall simulation with an optimistic execution technique. Such a distributed approach can provide more up-to-date and robust estimates with decreased communication bandwidth requirements and increased computing capacity. This paper proposes an online ad hoc distributed simulation. The ph

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17

Shcherbina, Yu V., S. D. Asabashvili, and A. M. Prokopenko. "SIMULATION OF ASYMMETRICALLY DISTRIBUTED PROCESSES." Key title: Zbìrnik naukovih pracʹ Odesʹkoï deržavnoï akademìï tehnìčnogo regulûvannâ ta âkostì -, no. 1(16) (2020): 42–47. http://dx.doi.org/10.32684/2412-5288-2020-1-16-42-47.

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The article deals with the problems of modeling asymmetrically distributed stochastic processes and assessing the quality of the modeling process based on the use of the Pearson chi-square criterion. The problems that arise in each individual case of modeling are identified. As a method of generating an output stream of random numbers distributed according to a given law of probability distribution, the method of inverse functions is proposed, and as a generator of the input stream, it is proposed to use a stream generated by the Mersenne generator. The analysis of research methods and evaluat

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18

Nemeş, Olimpia, Vlad Mureşan, and Tiberiu Coloşi. "Modeling and Simulation of an Orthodontic Process." Applied Mechanics and Materials 811 (November 2015): 365–70. http://dx.doi.org/10.4028/www.scientific.net/amm.811.365.

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The paper presents an original solution for the mathematical modeling and simulation of an orthodontic process. The orthodontic process is treated as a distributed parameter, its model being expressed using a partial differential equation, respectively the tooth movement is represented as the approximating analytical solution which verifies the mentioned equation. In order to prove the model usability, some interesting simulations are shown in the paper. The obtained model can be numerically simulated using a software application and the simulation results can be used in order to assist the de

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19

JIA, Wenfei, Mao YANG, Zhongjiang YAN, and Bo LI. "A WLAN-oriented distributed hierarchical parallel simulation method." Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University 42, no. 5 (2024): 895–902. https://doi.org/10.1051/jnwpu/20244250895.

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To solve the problem that the efficiency decreases with the increase of terminal nodes in wireless local area network(WLAN) distributed parallel simulation, a WLAN-oriented distributed hierarchical parallel simulation method is proposed. Firstly, considering the WLAN star network topology, the process of the simulated access point (AP) is denoted as the main process, which is responsible for time synchronization with the other processes of the simulated station (STA) nodes in the WLAN network. Secondly, the processes of all simulated STAs are then evenly divided into groups, and the group lead

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20

Akram, Aamir, Muhammad Shahzad Sarfraz, and Umar Shoaib. "HLA Run Time Infrastructure: A Comparative Study." Mehran University Research Journal of Engineering and Technology 38, no. 4 (2019): 961–72. http://dx.doi.org/10.22581/muet1982.1904.09.

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Distributed computer simulation systems use a general-purpose architecture known as HLA (High Level Architecture). HLA aims to provide common architecture for all types of distributed modeling and simulations by providing interoperability and reusability among simulations. A middleware known as RTI (Run Time Infrastructure) provides distributed simulation services under HLA. RTI offers a communication framework which is necessary for federates to interact during simulation process. Many RTI implementations are available commercially and are open source to achieve reusability and interoperabili

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21

STRASSBURGER, STEFFEN, GÜNTER SCHMIDGALL, and SIEGMAR HAASIS. "DISTRIBUTED MANUFACTURING SIMULATION AS AN ENABLING TECHNOLOGY FOR THE DIGITAL FACTORY." Journal of Advanced Manufacturing Systems 02, no. 01 (2003): 111–26. http://dx.doi.org/10.1142/s0219686703000253.

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In this article the technological possibilities offered by the interoperability standard High Level Architecture (HLA) are introduced and discussed. The main focus is hereby on manufacturing applications, but the same approach is applicable to a wide range of other scenarios, e.g. in the area of supply chains, logistics, product simulation etc. Especially for challenging objectives like the digital factory which many enterprises are currently facing, simulation applications are gaining growing importance. While simulations nowadays are often still applied for isolated problems, the considerati

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22

Subramanian, K., and M. Zargham. "Distributed and Parallel Demand Driven Logic Simulation Algorithms." VLSI Design 1, no. 2 (1994): 169–79. http://dx.doi.org/10.1155/1994/12503.

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Based on the demand-driven approach, distributed and parallel simulation algorithms are proposed. Demand-driven simulation ties to minimize the number of component evaluations by restricting to only those component computations required for the watched output requests. For a specific output value request, the input line values that are required are requested to the respective component. The process continues until known signal values are needed (system input signal values). We present a distributed demand-driven algorithm with infinite memory requirement (but still the memory required at each

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23

Ungureşan, Mihaela Ligia, and Vlad Mureşan. "PID Control System for a Distributed Parameter Process." Applied Mechanics and Materials 555 (June 2014): 222–31. http://dx.doi.org/10.4028/www.scientific.net/amm.555.222.

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This paper presents the numerical simulation of a control system, with PID algorithm, for a process modeled through a partial differential equation of second order (PDE II.2), with respect to time (t) and to a spatial variable (p). Because these types of control systems are less usual, this paper develops a case study, with a program run on the computer. The details of using the PID control are pointed out, for an example of a system which contains a process with PDE II.2 structure.

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24

Weiand, Peter, Michel Buchwald, and Dominik Schwinn. "Process Development for Integrated and Distributed Rotorcraft Design." Aerospace 6, no. 2 (2019): 23. http://dx.doi.org/10.3390/aerospace6020023.

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The German Aerospace Center is currently developing a new design environment for rotorcraft, which combines sizing, simulation and evaluation tasks into one toolbox. The complete environment applies distributed computation on the servers of the various institutes involved. A uniform data model with a collaboration and interface software, developed by DLR and open source, are used for exchange and networking. The tools used apply blade element methods in connection with full six degrees of freedom trim, panel methods for aerodynamic loads, different empirical models for sizing, engine propertie

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25

Li, Pingkang, Lai Wang, and Haibing Li. "Industrial Process Visualized Simulation for Distributed Control System Teaching and Training." IFAC Proceedings Volumes 33, no. 31 (2000): 139–43. http://dx.doi.org/10.1016/s1474-6670(17)37852-7.

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26

Davidson, J., and J. L. Houle. "Mathematical model for simulation of hierarchically distributed process control computer systems." Automatica 24, no. 5 (1988): 677–86. http://dx.doi.org/10.1016/0005-1098(88)90115-x.

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27

Saipan Saipol, Hafizah Farhah, and Norma Alias. "Numerical simulation of DIC drying process on matlab distributed computing server." Indonesian Journal of Electrical Engineering and Computer Science 20, no. 1 (2020): 338. http://dx.doi.org/10.11591/ijeecs.v20.i1.pp338-346.

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<span>Instant controlled pressure drop, also known as DIC, is one of the drying techniques that has been used for texturing, extracting and drying various food products. Mathematical model has been used to explain the drying process, although most of the studies focused on the statistical regression model approach. Due to the limitations of regression model, which neglects the fundamental of dehydration process, t</span><span>his paper presents the development of mathematical models to detect, solve and visualize the three-dimensional (3D) heat and mass transfer in DIC drying

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28

Garcia-Osorio, Vianey, and B. Erik Ydstie. "Distributed, asynchronous and hybrid simulation of process networks using recording controllers." International Journal of Robust and Nonlinear Control 14, no. 2 (2003): 227–48. http://dx.doi.org/10.1002/rnc.871.

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29

Hafizah, Farhah Saipan Saipol, and Alias Norma. "Numerical simulation of DIC drying process on matlab distributed computing server." Indonesian Journal of Electrical Engineering and Computer Science 20, no. 1 (2020): 338–46. https://doi.org/10.11591/ijeecs.v20.i1.pp338-346.

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Instant controlled pressure drop, also known as DIC, is one of the drying techniques that has been used for texturing, extracting and drying various food products. Mathematical model has been used to explain the drying process, although most of the studies focused on the statistical regression model approach. Due to the limitations of regression model, which neglects the fundamental of dehydration process, this paper presents the development of mathematical models to detect, solve and visualize the three-dimensional (3D) heat and mass transfer in DIC drying process. Finite Difference Method (F

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30

Makhmanazarov, Ramdas, Ilya Tseplyaev, Sergey Shipilov, and Natalya Krivova. "Estimation of SAR Average in Rats during 5G NR Chronic Exposure." Applied Sciences 14, no. 1 (2023): 208. http://dx.doi.org/10.3390/app14010208.

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To study physiological reactions in the brain and skin of higher mammals exposed to chronic radiofrequency radiation, specific absorption ratio (SAR) determination is required and time-consuming numerical methods are used. The paper deals with the estimation of the whole-body specific absorption rate (SAR) in rats chronically exposed to external electromagnetic fields, as well as the development of a laboratory setup simulating the operation of a fifth-generation 5G New Radio base station (with a signal bandwidth of 15 MHz and a carrier frequency of 2.4 GHz). The paper presents a modified meth

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31

Zeng, Jing, and Jinfeng Liu. "Distributed State Estimation Based Distributed Model Predictive Control." Mathematics 9, no. 12 (2021): 1327. http://dx.doi.org/10.3390/math9121327.

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In this work, we consider output-feedback distributed model predictive control (DMPC) based on distributed state estimation with bounded process disturbances and output measurement noise. Specifically, a state estimation scheme based on observer-enhanced distributed moving horizon estimation (DMHE) is considered for distributed state estimation purposes. The observer-enhanced DMHE ensures that the state estimates of the system reach a small neighborhood of the actual state values quickly and then maintain within the neighborhood. This implies that the estimation error is bounded. Based on the

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32

Helm, Emmanuel, and Ferdinand Paster. "First Steps Towards Process Mining in Distributed Health Information Systems." International Journal of Electronics and Telecommunications 61, no. 2 (2015): 137–42. http://dx.doi.org/10.1515/eletel-2015-0017.

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Abstract Business Intelligence approaches such as process mining can be applied to the healthcare domain in order to gain insight into the complex processes taking place. Disclosing asis processes helps identify room for improvement and answers questions from medical professionals. Existing approaches are based on proprietary log data as input for mining algorithms. Integrating the Healthcare Enterprise (IHE) defines in its Audit Trail and Node Authentication (ATNA) profile how real-world events must be recorded. Since IHE is used by many healthcare providers throughout the world, an extensive

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33

Nitha, K. U., and S. D. Krishnarani. "On autoregressive processes with Lindley-distributed innovations: modeling and simulation." Statistics in Transition new series 25, no. 3 (2024): 31–47. http://dx.doi.org/10.59170/stattrans-2024-026.

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In this paper, we develop an autoregressive process of order one, assuming that the innovation random variable has a Lindley distribution. The key properties of the process are investigated. Five distinct estimation techniques are used to estimate the parameters and simulation studies are conducted. The stationarity of the process is tested using a unit root test. The application of the proposed process to the analysis of time series data is demonstrated using real data sets. Based on some important statistical measures, the analysis of the data sets reveals that the proposed model fits well,

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34

Jia, Zhenhua, Zhiqiang Wu, Shaoyang Li, Xiaohui Zhu, and Xiaohan Wang. "Design and Implementation of LEO Constellation Simulation System Based on Distributed Simulation Platform." Journal of Physics: Conference Series 2525, no. 1 (2023): 012010. http://dx.doi.org/10.1088/1742-6596/2525/1/012010.

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Abstract The paper designs and implements a low-orbit constellation simulation system based on the distributed simulation platform. Based on analyzing the composition and the service process of the LEO constellation system, the overall architecture and index system of the LEO constellation simulation system are proposed. Taking the typical application scenario of the LEO constellation as an example, the operation process of the simulation scenario is planned and designed, and the evaluation methods of the overage, capacity, delay, bit error rate, and other indicators of the LEO constellation s

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35

Liu, Li Xia, and Yi Qi Zhuang. "Research on Tactical Communication Simulation Training Federation Development." Key Engineering Materials 439-440 (June 2010): 475–80. http://dx.doi.org/10.4028/www.scientific.net/kem.439-440.475.

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As a general-purpose simulation framework, HLA has been widely used in the field of distributed interactive simulations. Based on the systematical description of three major components of High Level Architecture (HLA) and using a combination way of theory and practice, the paper focused on the application of Federation Development and Execution Process Model (FEDEP) method in tactical communication simulation training federation. Combining with the FEDEP process model, key steps of federation target, conception model, development, integration and test and etc of tactical communication simulati

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36

Kong, Lili, and Chunqiu Yi. "Distributed Systems for Simulation Analysis of Motor Drive Systems using Adaptive Algorithms." Scalable Computing: Practice and Experience 26, no. 5 (2025): 2296–305. https://doi.org/10.12694/scpe.v26i5.5039.

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High processing needs and latency make it difficult to simulate motor drive systems in distributed environments, which affect accuracy and real-time performance. Optimizing motor control and cutting energy use require effective modeling. Conventional simulation techniques have trouble scaling up and down, frequently demanding large amounts of resources and being unable to adjust to changing load circumstances, which leads to sluggish or imprecise simulations. This method improves scalability and lowers latency by dynamically adjusting computing loads in a distributed system through the use of

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37

Saba, Farzaneh, and Yasser Mohamed. "An ontology-driven framework for enhancing reusability of distributed simulation modeling of industrial construction processes." Canadian Journal of Civil Engineering 40, no. 9 (2013): 917–26. http://dx.doi.org/10.1139/cjce-2011-0489.

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This paper describes an ontology-driven framework for developing distributed simulation modeling of construction processes. The research described in the paper is motivated by the necessity of knowledge sharing between distributed simulation modeling collaborators, and reuse and portability challenges in construction simulation models. Our approach addresses these challenges through ontological modeling and linking of construction simulation modeling components including (i) ontology of construction process, (ii) ontology of simulation world view, and (iii) ontology of distributed simulation m

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38

Meisen, Tobias, Rudolf Reinhard, Thomas Beer, Daniel Schilberg, and Sabina Jeschke. "IT-Infrastructure for an Integrated Visual Analysis of Distributed Heterogeneous Simulations." Advanced Materials Research 328-330 (September 2011): 1940–46. http://dx.doi.org/10.4028/www.scientific.net/amr.328-330.1940.

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Computational simulations are used for the optimization of production processes in order to significantly reduce the need for costly experimental optimization approaches. Yet individual simulations can rarely describe more than a single production step. Hence, a set of simulations has to be used to simulate a contiguous representation of a complete production process. Besides, simulated results have to be analyzed by domain experts to gather insight from the performed computations. In this paper, an IT-infrastructure is proposed that aims at a rather non-intrusive way of interconnecting sim

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39

Kelleher, Christa, Brian McGlynn, and Thorsten Wagener. "Characterizing and reducing equifinality by constraining a distributed catchment model with regional signatures, local observations, and process understanding." Hydrology and Earth System Sciences 21, no. 7 (2017): 3325–52. http://dx.doi.org/10.5194/hess-21-3325-2017.

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Abstract. Distributed catchment models are widely used tools for predicting hydrologic behavior. While distributed models require many parameters to describe a system, they are expected to simulate behavior that is more consistent with observed processes. However, obtaining a single set of acceptable parameters can be problematic, as parameter equifinality often results in several behavioral sets that fit observations (typically streamflow). In this study, we investigate the extent to which equifinality impacts a typical distributed modeling application. We outline a hierarchical approach to r

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40

Johst, M., S. Uhlenbrook, N. Tilch, B. Zillgens, J. Didszun, and R. Kirnbauer. "An attempt of process-oriented rainfall-runoff modeling using multiple-response data in an alpine catchment, Loehnersbach, Austria." Hydrology Research 39, no. 1 (2008): 1–16. http://dx.doi.org/10.2166/nh.2008.035.

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The development of process-oriented hydrological models, which are able to simulate hydrological processes distributed in space and time, is crucial for optimal management of water resources. The model TACD (tracer aided catchment model, distributed) was modified and applied to the mountainous Loehnersbach catchment (16 km2), Kitzbueheler Alps, Austria, with the aim of simulating the dominant hydrological processes in a distributed way. It can be seen as a further developed, fully distributed version of the HBV-model with a more process-based runoff generation routine, which uses a spatial del

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41

Hoyyi, Abdul, Abdurakhman Abdurakhman, and Dedi Rosadi. "VARIANCE GAMMA PROCESS WITH MONTE CARLO SIMULATION AND CLOSED FORM APPROACH FOR EUROPEAN CALL OPTION PRICE DETERMINATION." MEDIA STATISTIKA 14, no. 2 (2021): 183–93. http://dx.doi.org/10.14710/medstat.14.2.183-193.

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The Option is widely applied in the financial sector. The Black-Scholes-Merton model is often used in calculating option prices on a stock price movement. The model uses geometric Brownian motion which assumes that the data is normally distributed. However, in reality, stock price movements can cause sharp spikes in data, resulting in nonnormal data distribution. So we need a stock price model that is not normally distributed. One of the fastest growing stock price models today is the process exponential model. The process has the ability to model data that has excess kurtosis and a longer tai

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42

Kian Far, Ehsan, Martin Geier, Konstantin Kutscher, and Manfred Krafczyk. "Distributed cumulant lattice Boltzmann simulation of the dispersion process of ceramic agglomerates." Journal of Computational Methods in Sciences and Engineering 16, no. 2 (2016): 231–52. http://dx.doi.org/10.3233/jcm-160615.

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Musila, Miroslav, and Petr Lánský. "Simulation of a diffusion process with randomly distributed jumps in neuronal context." International Journal of Bio-Medical Computing 31, no. 3-4 (1992): 233–45. http://dx.doi.org/10.1016/0020-7101(92)90007-f.

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44

MUREŞAN, Vlad, Mihail ABRUDEAN, and Daniel MOGA. "Modeling, Simulation and Control of a Nonlinear Distributed Parameter Isotope Separation Process." IFAC-PapersOnLine 48, no. 30 (2015): 191–96. http://dx.doi.org/10.1016/j.ifacol.2015.12.376.

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45

Halaška, Michal, and Roman Šperka. "Is there a Need for Agent-based Modelling and Simulation in Business Process Management?" Organizacija 51, no. 4 (2018): 255–69. http://dx.doi.org/10.2478/orga-2018-0019.

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AbstractBackground and Purpose: Agent-based modelling and simulation (ABS) is growing in many areas like, e.g., management, social and computer sciences. However, the similar trend does not seem to occur within the field of business process management (BPM), even though simulation approaches like discrete event simulation or system dynamics are well established and widely used. Thus, in our paper we investigate the advantages and disadvantages of agent-based modelling and simulation in the field of BPM in simulation experiments.Design/Methodology/Approach: In our research, we investigate if th

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46

Ma, Yao-fei, and Xiao Song. "A Simulation Perspective: Error Analysis in the Distributed Simulation of Continuous System." Mathematical Problems in Engineering 2015 (2015): 1–10. http://dx.doi.org/10.1155/2015/461513.

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To construct a corresponding distributed system from a continuous system, the most convenient way is to partition the system into parts according to its topology and deploy the parts on separated nodes directly. However, system error will be introduced during this process because the computing pattern is changed from the sequential to the parallel. In this paper, the mathematical expression of the introduced error is studied. A theorem is proposed to prove that a distributed system preserving the stability property of the continuous system can be found if the system error is limited to be smal

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47

Wang, De Yan. "The Simulation and Design Applications of Grinding and Classification Process Control System." Applied Mechanics and Materials 203 (October 2012): 221–25. http://dx.doi.org/10.4028/www.scientific.net/amm.203.221.

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Based on the grinding and classification process dynamic model, the distributed simulation platform for semi-physical grinding process was analyzed. Based on the feedback correction and dynamic optimal control and optimization model calculated the optimal control law, the quality indicators to feedback regulation mechanism was introduced to eliminate the impact of process disturbances and other uncertainties. Intelligent control unit according to the deviation between the artificial test and expectations of quality indicators can feedback correction of the optimal control law. The field experi

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48

Yonggang Dong, Yonggang Dong, Shichao Cao Yonggang Dong, and Haoliang Yang Shichao Cao. "Research on Influence of Distributed Energy Accessing Power Grid System Based on Integral Projection Algorithm." 電腦學刊 34, no. 3 (2023): 165–78. http://dx.doi.org/10.53106/199115992023063403012.

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<p>A large number of distributed energy sources connected to the grid will cause certain disturbances to the stability of the grid system. We consider the random characteristics and establish a dynamic simulation framework for the active power distribution system suitable for the integral projection algorithm. The article uses an internal integrator to solve the fast dynamic process with explicit and implicit Euler methods in small steps. In the calculation process, this method can effectively consider the influence of events such as fault disturbance on the grid connection of the distri

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He-Rong, Jin, Yi Ya-Li, Han Xue-Yan, and Liang Yan. "Roller Straightening Process and FEM Simulation for Stainless Steel Clad Plate." Open Mechanical Engineering Journal 8, no. 1 (2014): 557–61. http://dx.doi.org/10.2174/1874155x01408010557.

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Based on elasto-plastic deformation straightening theory and by adopting 11 rolls straightening plates , the isothermal residual curvature straightening process was proposed for stainless steel clad plate. The mathematical model of straightening was established to realize plate shape finishing and stress reforming. By using finite element analysis software, establishing straightening process and determining intermesh, the effects of intermesh on shape and residual stress were analyzed. The results indicate that the straightening process met the finishing plainness of stainless steel clad plate

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50

Wang, Bo, and Yijie He. "Hardware Loop Simulation of Distributed Embedded Integrated Circuits." Journal of Control Science and Engineering 2022 (June 30, 2022): 1–7. http://dx.doi.org/10.1155/2022/4824247.

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In order to improve the performance of the automotive active safety system, the author proposes a distributed embedded ACCS hardware loop simulation system. The automotive adaptive cruise control system (ACCS) is a completely distributed embedded control system. The author adopts the method of hardware loop simulation, an ARM-based automotive ACCS simulation platform is designed, and the hardware structure and software design of the platform are introduced. The simulation results show that the performance of single-node and double-node responses to step change is basically the same. There is a

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