Journal articles: 'Distributed process simulation'

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

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Rizvi, S. S. "A Logical Process Simulation Model for Conservative Distributed Simulation Systems." International Journal of Simulation Modelling 12, no. 2 (June 15, 2013): 69–81. http://dx.doi.org/10.2507/ijsimm12(2)1.224.

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Krammer, Martin, Clemens Schiffer, and Martin Benedikt. "ProMECoS: A Process Model for Efficient Standard-Driven Distributed Co-Simulation." Electronics 10, no. 5 (March 9, 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, standard-driven distributed co-simulation. It defines the necessary tasks required to prepare, instantiate and execute distributed co-simulations according to the DCP standard. Furthermore, it enables the exploitation of front-loading benefits, thus reducing the overall system development effort. ProMECoS is based on the IEEE 1730 standard for Distributed Simulation Engineering and Execution Process. It adopts the artefacts of the DCP specification, and defines additional process artefacts. The DCP specification and its associated default integration methodology were developed by a balanced consortium in context of the ITEA 3 project ACOSAR. The DCP is compatible to the well-adopted FMI standard. Therefore both standards can be used together for seamless development using models, software, and real components. ProMECoS provides the necessary guidance for efficient product development and testing.

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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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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 (June 2008): 1195–205. http://dx.doi.org/10.1016/j.compchemeng.2007.04.022.

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Wack, Thorsten, Andreas Schröder, and Evren Yildiz. "Architecture of a Distributed Process Co‐simulation Framework." Chemie Ingenieur Technik 92, no. 10 (July 16, 2020): 1618–25. http://dx.doi.org/10.1002/cite.202000074.

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Liao, Yilong. "Distributed feedback design in heating process control." Journal of Physics: Conference Series 2905, no. 1 (November 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 with the optimal control method.

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Coffman, E. G., P. J. Courtois, E. N. Gilbert, and Ph Piret. "A distributed clustering process." Journal of Applied Probability 28, no. 4 (December 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 xi, and the corresponding points i form one cluster. Analytical results are obtainable when G is the chain of integer points on the line. Probability distributions are derived for the distance between consecutive absorbers and the size of a cluster. Indeed these distributions do not involve the given distribution for the xi. The Laplace transform of the distribution of final resources at absorbers is derived but the distribution itself is obtained by a simulation. For general graphs G only partial results are obtained.

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Coffman, E. G., P. J. Courtois, E. N. Gilbert, and Ph Piret. "A distributed clustering process." Journal of Applied Probability 28, no. 04 (December 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 xi , and the corresponding points i form one cluster. Analytical results are obtainable when G is the chain of integer points on the line. Probability distributions are derived for the distance between consecutive absorbers and the size of a cluster. Indeed these distributions do not involve the given distribution for the xi. The Laplace transform of the distribution of final resources at absorbers is derived but the distribution itself is obtained by a simulation. For general graphs G only partial results are obtained.

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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. Small-scale experiments can be done with a single personal computer, while large-scale experiments can be carried out through cloud servers. The greatest highlight of DSP is that it is plug and play, where nodes can be freely added or deleted during the simulation process. DSP is now open-sourced on GitHub, https://github.com/Wales-Wyf/Distributed-Algorithm-Simulation-Platform-DSP--2.0.

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

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Wack, Thorsten, Stefan Schlüter, Torsten Hennig, Henning Wagner, Andreas Diekmann, Qinghua Zheng, and Jonas Grundler. "Application of Waveform Relaxation in Distributed Process Co-Simulation." Chemie Ingenieur Technik 90, no. 10 (September 12, 2018): 1559–67. http://dx.doi.org/10.1002/cite.201800047.

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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 evaluation of computer models of stochastic processes is given and the choice of a nonparametric research method based on histograms is substantiated. Suggestions on the choice of their main parameters are provided: the size of the interval for separating the statistical set of values of the output stream of the model and the number of such intervals, calculated on the basis of the size of the statistical sample. It is shown that the quality of statistical material significantly affects the success of modeling. In the case of an asymmetric nature of the distribution of the model's output stream, the accuracy of calculating the chi-square exponent is significantly affected by those values that fall into the extreme intervals of the histogram. It is shown that the reason for this is the incommensurability of their values with the values in the central part of the histogram and this is a separate modeling problem, as a solution to which there can be filtering of the statistical set, preceding the determination of the quality indicator. The sequence of procedures for forming a model of a stochastic process and processing the results of calculating the parameters of the histogram is determined.

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Suh, Wonho. "Graphical Analysis of Rollback Process in Ad Hoc Distributed Traffic Simulation." Applied Sciences 11, no. 1 (December 24, 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 physical operating platform for the model including operating system, communicational middleware, and traffic simulation model are described. Also, this paper investigates the analytical background of rollback process of the proposed ad hoc distributed simulation model. Flow rate diagram and cumulative number of vehicle diagram show that the overall system simulation speed and estimate accuracy may differ significantly as a function of the selected threshold.

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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 (November 26, 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 disadvantages of coupling simulators have to be minimized by an appropriate co-simulation architecture. Hence, in the present paper, a new simulation architecture for energy systems integration co-simulation is introduced, which enables an easy and fast handling of the therefore required simulation setup. The performance of the new distributed co-simulation architecture for energy systems integration is shown by a campus grid scenario with a focus on the effects of power to gas and the reversal process onto the electricity grid. The implemented control strategy enables a successful co-simulation of electrolysis coupled with photovoltaics, a hydrogen storage with a combined heat and power plant and a variable power consumption.

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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 dentist to establish the orthodontic treatment parameters (at the start of the treatment and during the treatment, too; for example the initial force which has to be applied, respectively its ulterior value adjustments).

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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 (October 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 leader is responsible for the synchronization of processes within the group. Then, after the main process broadcasts the simulation start event, the group leader process firstly collects the end message of the group member's terminal node, and then reports to the main process. A three-layer hierarchical structure is constructed, consisting of the main process layer, the group leader process layer and the group member process layer. Finally, the time gain factor of the hierarchical simulation method is analyzed and obtained in closed-form expression, under the different computational loads. Simulation results show that comparing to the existing non-hierarchical simulation method, when the average computational load is 1.2x time unit and the nodes number is 100, the gain of the proposed method can reach 50%.

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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 (October 1, 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 interoperability by implementing HLA. However, functionality and performance of RTI is based on its structure. This review presents the performance analysis of multiple RTI implementations, so that the best suitable RTI can be selected for a given simulation scenario and provides the structural comparison of central and service distributed RTI. It also presents the performance analysis of multiple RTI implementations and provides the structural comparison of CeRTI (Central Run Time Infrastructure) and SDRTI (Service Distributed Run Time Infrastructure). Many simulations use HLA, and RTI as basic part of these simulations. This comparative study describes characteristics of different RTIs, their comparisons and implementations that will help the reader to select suitable RTI according to environment and requirements.

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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 (June 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 consideration of the global context has a growing importance. A solution for solving this problem is offered by the distributed simulation paradigm: simulations are no longer single purpose applications. Rather, individual simulation models can be combined with each other for serving different purposes. Coupled simulations of different parts of a factory can be used to perform global optimizations. The same paradigm can be used for entire supply chains. For applying the distributed simulation paradigm, technological as well as organizational aspects have to be considered. On the technological side, it is necessary to integrate a certain interoperability standard into the tools which need to be coupled with each other. On the organizational level, an enterprise wide process has to be established, which defines how distributed modeling and simulation shall be applied. This article discusses solutions for both issues and illustrates them using a practical application scenario.

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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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Subramanian, K., and M. Zargham. "Distributed and Parallel Demand Driven Logic Simulation Algorithms." VLSI Design 1, no. 2 (January 1, 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 process is no greater than the sequential demand-driven simulation), and a parallel demand-driven simulation with finite memory requirement. In our algorithms, each component is assigned a logical process.The algorithms have been implemented on the Sequent Balance 8000 Multi-processor machine. Several sample circuits were simulated. The algorithms were compared with the distributed discrete-event simulation. Our distributed algorithm performed many times faster than the discrete-event simulation for cases when few results were needed. Parallel algorithm performed 2 to 4 times faster than the distributed discrete-event simulation.

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

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

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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 (October 1, 2020): 338. http://dx.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 (FDM) with central difference formula is used to discretize the mathematical models. A large sparse of system of linear equation (SLE), which represents the actual drying process, is solved by using some numerical methods, such as Jacobi (JB), Red Black Gauss Seidel (RBGS), Alternating Group Explicit with Douglas (AGED) and Brian (AGEB) methods. Based on the numerical results, high execution time and high computational complexity have been shown. In order to reduce the execution time and computational complexity, the parallel algorithm based on domain decomposition technique has been implemented on the MATLAB Distributed Computing Server (MDCS). The parallel algorithm of the numerical methods was evaluated and compared based on the parallel performance metrics: execution time, speed up, efficiency, effectiveness, temporal performance and granularity. From the parallel performance metrics, it was found that the PAGEB approach had better performance, followed by PAGED, PRBGS and PJB methods.

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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 (December 12, 2003): 227–48. http://dx.doi.org/10.1002/rnc.871.

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Weiand, Peter, Michel Buchwald, and Dominik Schwinn. "Process Development for Integrated and Distributed Rotorcraft Design." Aerospace 6, no. 2 (February 21, 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 properties and component mass estimation and finite element methods for structural design. A special feature is the integration of a higher fidelity overall simulation tool directly into the sizing loop. The paper describes the use of the several tools for the phases of conceptual and preliminary design. A design study is presented demonstrating the sensitivity of the process for a variation of the input parameters exhibiting a broad range for trade-off studies. The possibility to continue for analyzing and sizing of the structural properties is also demonstrated by applying a finite element approach for specific load cases. These features highlight the core of the new design environment and enable the development of goal-oriented design processes for research especially of new and unconventional rotorcraft configurations. The work presented in this paper was conducted throughout the DLR internal project, namely the Technologies for Rotorcraft in Integrated and Advanced Design (TRIAD). TRIAD is a joint project of the institutes of Flight Systems, the institute of Aerodynamics and Flow Technology, the institute of Structures and Design, the System Architectures in Aeronautics and Institute of Aerospace Medicine and receives basic founding.

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Zeng, Jing, and Jinfeng Liu. "Distributed State Estimation Based Distributed Model Predictive Control." Mathematics 9, no. 12 (June 9, 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 state estimates provided by the DMHE, a DMPC algorithm is developed based on Lyapunov techniques. In the proposed design, the DMHE and the DMPC are evaluated synchronously every sampling time. The proposed output DMPC is applied to a simulated chemical process and the simulation results show the applicability and effectiveness of the proposed distributed estimation and control approach.

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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 (December 26, 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 method for theoretical SAR estimation for one-sided irradiation and distributed absorption. Mean whole-body SAR values were estimated by the proposed method and numerically modeled with the CST Microwave Studio simulation software 2020package using primitive rat models. Dielectric parameters in the numerical simulation were used from the software library. The IEEE/IEC 62704-1 algorithm was used to investigate SAR in numerical simulations. The theoretical estimates and numerical simulations were compared for different SAR distributions and were found to be qualitatively comparable. The differences between approximate theoretical estimates and numerical simulations are 7% and 10% for distributed and non-distributed absorptions, respectively. The proposed method, which takes into account the decreasing power flux density, can be used to estimate the approximate whole-body SAR during chronic electromagnetic field exposure in rats.

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Helm, Emmanuel, and Ferdinand Paster. "First Steps Towards Process Mining in Distributed Health Information Systems." International Journal of Electronics and Telecommunications 61, no. 2 (June 1, 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 amount of log data is produced. In our research we investigate if audit trails, generated from an IHE test system, carry enough content to successfully apply process mining techniques. Furthermore we assess the quality of the recorded events in accordance with the maturity level scoring system. A simplified simulation of the organizational workflow in a radiological practice is presented. Based on this simulation a process miing task is conducted.

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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 (September 4, 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, and the errors are independent and Lindley-distributed.

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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 (June 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 system are given. By using the component modeling method on the distributed simulation platform, the entities in the simulation system are modeled, and the visual display of the simulation system is realized through secondary development based on cesium digital earth. The LEO constellation simulation system can provide a verification environment for its construction and a basis for the determination, optimization, and upgrading of technical status.

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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 simulation training were designed, which lied good foundation for realization and federation-level reuse of tactical communication simulation training federation.

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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 (July 5, 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 reduce the number of behavioral sets based on regional, observation-driven, and expert-knowledge-based constraints. For our application, we explore how each of these constraint classes reduced the number of behavioral parameter sets and altered distributions of spatiotemporal simulations, simulating a well-studied headwater catchment, Stringer Creek, Montana, using the distributed hydrology–soil–vegetation model (DHSVM). As a demonstrative exercise, we investigated model performance across 10 000 parameter sets. Constraints on regional signatures, the hydrograph, and two internal measurements of snow water equivalent time series reduced the number of behavioral parameter sets but still left a small number with similar goodness of fit. This subset was ultimately further reduced by incorporating pattern expectations of groundwater table depth across the catchment. Our results suggest that utilizing a hierarchical approach based on regional datasets, observations, and expert knowledge to identify behavioral parameter sets can reduce equifinality and bolster more careful application and simulation of spatiotemporal processes via distributed modeling at the catchment scale.

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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 (February 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 delineation of hydrological response units (HRUs). Good overall runoff simulations could be obtained for the whole catchment. Additional data, i.e. discharge from sub-catchments, snow height measurements and dissolved silica concentrations, enabled to some extent the evalulation of the simulation of single processes. Certain periods, e.g. short-term runoff fluctuations during snow melt periods, could not be simulated well even when different model modifications were executed. This indicates model shortcomings because of incomplete process understanding and the necessity for further experimental research as well as for new concepts of model structure. In particular, the understanding and mathematical description of subsurface storm flows has to be improved. The impact of different HRU delineations on discharge simulations at the catchment outlet was relatively low, as long as the direct runoff producing units remained constant. However, the impact on runoff predictions at sub-catchment scale was significant. This indicates an ’averaging out’ effect for peculiarities and errors of runoff predictions at larger scales.

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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 (December 12, 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 tail (heavy tail) compared to the normal distribution. One of the members of the process is the Variance Gamma (VG) process. The VG process has three parameters which each of them, to control volatility, kurtosis and skewness. In this research, the secondary data samples of options and stocks of two companies were used, namely zoom video communications, Inc. (ZM) and Nokia Corporation (NOK). The price of call options is determined by using closed form equations and Monte Carlo simulation. The Simulation was carried out for various values until convergent result was obtained.

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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 (September 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 modeling application tool. Within the paper, ontology driven approach and mapping of ontologies for information transference between simulation components has been described. Another discussed application of ontologies is structuring of simulation modeling development through use of reusable elements. A large-scale distributed simulation model of industrial construction processes has been outlined to illustrate the application of the approach.

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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 (June 6, 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 (October 1992): 233–45. http://dx.doi.org/10.1016/0020-7101(92)90007-f.

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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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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 simulations and domain expert’s knowledge to facilitate the collaborative setup, execution and analysis of distributed simulation chains.

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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 small enough. Then, the compositions of the system error are analyzed one by one and the complete expression is deduced, where the advancing stepTin distributed environment is one of the key factors associated. At last, the general steps to determine the stepTare given. The significance of this study lies in the fact that the maximumTcan be calculated without exceeding the expected error threshold, and a largerTcan reduce the simulation cost effectively without causing too much performance degradation compared to the original continuous system.

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Halaška, Michal, and Roman Šperka. "Is there a Need for Agent-based Modelling and Simulation in Business Process Management?" Organizacija 51, no. 4 (December 1, 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 there is a necessity for ABS in the field of BPM with our own simulation experiments to compare traditional and ABS models. For this purpose, we use simulation framework MAREA, which is a simulation environment with integrated ERP system. Our model is a complex system of a trading company selling computer cables. For the verification of our model, we use automated process discovery techniques.Results: In our simulations, we investigated the impact of changes in resources’ behavior on the outcome of company’s order to cash process (O2C). Simulations experiments demonstrated that even small changes might have statistically significant effect on outcomes of the processes and decisions based on such outcomes. Simulation experiments also demonstrated that the impact of randomly distributed fluctuations of well-being have a diminishing tendency with the increasing number of sales representatives involved in the process.Conclusions: Our research revealed several advantages and disadvantages of using ABS in business process modelling. However, as we show, many of them were at least partially addressed in the recent years. Thus, we believe that ABS will get more attention in the field of BPM similarly to other fields like, e.g., social sciences. We suggested areas in BPM simulations, e.g., modelling of resources, be it human or technological resources, where there is a need for ABS.

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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 (June 2023): 165–78. http://dx.doi.org/10.53106/199115992023063403012.

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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 distributed power grid. Numerical analysis and simulation tests verify the effectiveness of this algorithm.

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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 experiment results show that the program to stabilize the process of product quality, to achieve the process of saving energy. The grinding process of the optimal control of distributed simulation platform for the optimal control method and system design provide effective, convenient, reliable and intuitive engineering lab environment. Also it has important reference value to other metallurgical optimization of industrial process control engineering verification and simulation.

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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 (December 31, 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 after rolling. Longitudinal residual stress of the clad plate was evenly distributed across width. The cladding plate and steel substrate were observed to be symmetrical and the ascent of stress near the edge was greater. Longitudinal residual stress across length was distributed with the wave of pull-press-pull and the cladding plate and base plate were observed to be symmetrical. The above researches are based on the previous theory of the application of stainless steel clad plate straightening technology.

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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 network in the two-node control loop, the carrying capacity and communication bandwidth of the network are limited, which will inevitably cause information collision and retransmission, which will inevitably cause a delay in the information transmission process, with a delay of about 4.5 seconds. The system opens up the design idea of ACCS and also lays a foundation for future research in related directions, which has a certain enlightenment effect.

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Chen, Jie. "Numerical Simulation of Hydro-Forming Process of Shaped Tube." Advanced Materials Research 819 (September 2013): 125–28. http://dx.doi.org/10.4028/www.scientific.net/amr.819.125.

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in the forming process of section tube using hydro forming, distributed regulation of the strain, loading rate and destabilization have a large influence to forming. The forming process is simulated by means of FEM in this paper. Simulation results shows that strain are maximal at the convexity and concave of die. And with pressure increasing, the phenomenon of destabilization would occur on some side of its convexity randomly, the forming process of section tub can be divided into two obvious stages. Besides, critical pressure of two stages is pointed out. The simulation results are compared with the experiment results, and the correctness of the simulation is verified.

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Hong, Zhang, Shou Sheng Zhang, and Lu Ping Sang. "Research on Application of Distributed Control System in Industrial Process Control." Applied Mechanics and Materials 427-429 (September 2013): 842–45. http://dx.doi.org/10.4028/www.scientific.net/amm.427-429.842.

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By combination with the general structure characteristics of the distributed control system and the technical specifications of CAN bus, this paper puts forward, designs a FDCS model control system for sewage treatment based on CAN bus and establishes mathematic model for dissolved oxygen (DO) and pH value in the oxidation ditch. It also designs two self-adaptive algorithms of the model and performs digital simulation of the control algorithms.

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Hu, Lan Wei, Xia Jin, Lei Shi, and Sheng Zhi Li. "Numerical Simulation on Rolling Process of Medium Plate." Advanced Materials Research 602-604 (December 2012): 1864–68. http://dx.doi.org/10.4028/www.scientific.net/amr.602-604.1864.

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A 3-D thermal-mechanical model was built to simulate the hot rolling process of medium plate, with the aid of nonlinear commercial FE code MSC.SuperForm on a company's actual process parameters. The hot rolling process of single-pass which slab thickness is 180mm was simulated, and the influence of pass reduction on metal flow, stress-strain field, contact stress and rolling force were researched. The study revealed that pass reduction should be at least 20% by increase depress in pass in addition to rolling efficiency. As that, rolling efficiency be increased, roll contact stress be brought down, and its service life be prolonged. And metal plastic strain enhanced, metal flow increased, but its strain field non-uniformly distributed, metal flow and plastic deformation would be strengthen by increase pass reduction, and the lateral broadening in the head is bigger than that in the tail.

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Journal articles on the topic 'Distributed process simulation'

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