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Journal articles on the topic 'Emulators'

Author: Grafiati

Published: 4 June 2021

Last updated: 2 February 2022

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1

Bajonero-Sandoval, David Felipe, Jeyson Sanabria-Vargas, and César Leonardo Trujillo-Rodriguez. "Design and Implementation of a Low Power Wind Turbine Emulator Through the Induction Motor-Permanent Magnet Generator Arrangement." Revista Facultad de Ingeniería 29, no. 54 (2020): e10530. http://dx.doi.org/10.19053/01211129.v29.n54.2020.10530.

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This paper presents the design and construction stage of a low power wind turbine emulator, which is used at the laboratory level, to reproduce different wind profiles. There are several types of wind emulators, among which the wind tunnel emulators stand out. These emulators use a motor with a propeller on their axis to obtain the desired wind speed. However, in the present work -and done from a computer- speed control is developed for a three-phase induction motor, thus driving a permanent magnet generator. The motor-generator group is controlled through a program developed in the Labview so

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Tokmakian, Robin, Peter Challenor, and Yiannis Andrianakis. "On the Use of Emulators with Extreme and Highly Nonlinear Geophysical Simulators." Journal of Atmospheric and Oceanic Technology 29, no. 11 (2012): 1704–15. http://dx.doi.org/10.1175/jtech-d-11-00110.1.

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Abstract Gaussian process emulators are a powerful tool for understanding complex geophysical simulators, including oceanic and atmospheric general circulation models. Concern has been raised about their ability to emulate complex nonlinear systems. For the first time, using the simple Stommel model, the way in which emulators can reasonably represent the full sampling space of an extreme nonlinear, bimodal system is illustrated. This simple example also shows how an emulator can help to elucidate interactions between parameters. The ideas are further illustrated with a second, more realistic,

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Yuan, Fang, Yue Deng, and Yuxia Li. "A Multistable Generalized Meminductor with Coexisting Stable Pinched Hysteresis Loops." International Journal of Bifurcation and Chaos 30, no. 02 (2020): 2050023. http://dx.doi.org/10.1142/s0218127420500236.

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A multistable local active meminductor emulator is proposed in this paper. The mathematical model of the emulator circuits is established. Different periodic stimuli are applied to the presented emulators and coexisting stable pinched hysteresis loops are obtained. The results obtained by experimental equips are consistent with the theoretical analysis, which indicates that the proposed emulators can work as a meminductor.

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Ivannikov, A. D. "Emulators as a Tool for Control Digital System Software Debugging." INFORMACIONNYE TEHNOLOGII 27, no. 7 (2021): 339–49. http://dx.doi.org/10.17587/it.27.339-349.

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The simulation of control digital systems at the architecture level, that is, emulation of the instruction set, memory cells and internal programmable registers, as well as the interrupt system and direct memory access is considered. Emulators are used for debugging embedded digital system software and in the development of new custom processors. Requirements for emulators are formalized. It is shown that the main requirements are adequate simulation of digital systems at the architecture level, the presence of a set of convenient debugging modes, as well as high efficiency of emulators, that

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Yang, Qingyuan, E. Bruce Pitman, Elaine Spiller, Marcus Bursik, and Andrea Bevilacqua. "Novel statistical emulator construction for volcanic ash transport model Ash3d with physically motivated measures." Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences 476, no. 2242 (2020): 20200161. http://dx.doi.org/10.1098/rspa.2020.0161.

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Statistical emulators are a key tool for rapidly producing probabilistic hazard analysis of geophysical processes. Given output data computed for a relatively small number of parameter inputs, an emulator interpolates the data, providing the expected value of the output at untried inputs and an estimate of error at that point. In this work, we propose to fit Gaussian Process emulators to the output from a volcanic ash transport model, Ash3d. Our goal is to predict the simulated volcanic ash thickness from Ash3d at a location of interest using the emulator. Our approach is motivated by two chal

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Barboni, Leonardo. "A Novel Passive Circuit Emulator for a Current-Controlled Memristor." Active and Passive Electronic Components 2021 (April 22, 2021): 1–8. http://dx.doi.org/10.1155/2021/5582774.

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A memristor is an electrical element, which has been conjectured in 1971 to complete the lumped circuit theory. Currently, researchers use memristor emulators through diodes, inductors, and other passive (or active) elements to study circuits with possible attractors, chaos, and ways of implementing nonlinear transformations for low-voltage novel computing paradigms. However, to date, such passive memristor emulators have been voltage-controlled. In this study, a novel circuit realization of a passive current-controlled passive inductorless emulator is established. It overcomes the lack of pas

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7

Olangunju, Amos O., and Elvis Borders. "Emulators." ACM SIGMICRO Newsletter 17, no. 3 (1986): 20–24. http://dx.doi.org/10.1145/378741.378764.

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MacMartin, Douglas G., and Ben Kravitz. "Dynamic climate emulators for solar geoengineering." Atmospheric Chemistry and Physics 16, no. 24 (2016): 15789–99. http://dx.doi.org/10.5194/acp-16-15789-2016.

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Abstract. Climate emulators trained on existing simulations can be used to project project the climate effects that result from different possible future pathways of anthropogenic forcing, without further relying on general circulation model (GCM) simulations. We extend this idea to include different amounts of solar geoengineering in addition to different pathways of greenhouse gas concentrations, by training emulators from a multi-model ensemble of simulations from the Geoengineering Model Intercomparison Project (GeoMIP). The emulator is trained on the abrupt 4 × CO2 and a compensating sola

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Ryan, Edmund, Oliver Wild, Apostolos Voulgarakis, and Lindsay Lee. "Fast sensitivity analysis methods for computationally expensive models with multi-dimensional output." Geoscientific Model Development 11, no. 8 (2018): 3131–46. http://dx.doi.org/10.5194/gmd-11-3131-2018.

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Abstract. Global sensitivity analysis (GSA) is a powerful approach in identifying which inputs or parameters most affect a model's output. This determines which inputs to include when performing model calibration or uncertainty analysis. GSA allows quantification of the sensitivity index (SI) of a particular input – the percentage of the total variability in the output attributed to the changes in that input – by averaging over the other inputs rather than fixing them at specific values. Traditional methods of computing the SIs using the Sobol and extended Fourier Amplitude Sensitivity Test (e

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Ozawa, Felipe, Marco Rocha, Guilherme Lucas, Wallace Souza, and Andre Andreoli. "Application of Torque Transducer and Rotary Encoder in a Hardware-in-the-Loop Wind Turbine Emulation." Proceedings 42, no. 1 (2019): 55. http://dx.doi.org/10.3390/ecsa-6-06633.

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Wind energy is one of the most promising forms of renewable energy. For the constant evolution of power generation technology, the use of sensors is fundamental to the development of wind turbine emulators. A wind turbine emulator allows tests and evaluations of a wind power system, regardless of weather conditions. Therefore, to further improve this technology, this work focuses on the application of a torque transducer and a rotary encoder for the implementation of a closed-loop wind turbine emulator. The sensors provide the torque and speed feedback signals to the computational model so tha

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Alaoui, Mustapha, Hattab Maker, Azeddine Mouhsen, and Hicham Hihi. "Photovoltaic emulator of different solar array configurations under partial shading conditions using damping injection controller." International Journal of Power Electronics and Drive Systems (IJPEDS) 11, no. 2 (2020): 1019. http://dx.doi.org/10.11591/ijpeds.v11.i2.pp1019-1030.

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In the last decades, researchers and scientists have been trending towards photovoltaic (PV) solar energy research as one of the noteworthy renewable energies. As a matter of fact, the need for a laboratory system devoted to performing measurements and experimentation on PV systems is being increased. The PV array emulator is designed to accomplish this task by reproducing accurately the electrical behavior of real PV sources. The present paper proposes thus a new control and design of PV array emulators. It is based essentially on a hybrid Damping Injection controller. The proposed control st

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Yurko, Joseph P., Jacopo Buongiorno, and Robert Youngblood. "Demonstration of Emulator-Based Bayesian Calibration of Safety Analysis Codes: Theory and Formulation." Science and Technology of Nuclear Installations 2015 (2015): 1–17. http://dx.doi.org/10.1155/2015/839249.

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System codes for simulation of safety performance of nuclear plants may contain parameters whose values are not known very accurately. New information from tests or operating experience is incorporated into safety codes by a process known as calibration, which reduces uncertainty in the output of the code and thereby improves its support for decision-making. The work reported here implements several improvements on classic calibration techniques afforded by modern analysis techniques. The key innovation has come from development of code surrogate model (or code emulator) construction and predi

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Silva, Sam J., Po-Lun Ma, Joseph C. Hardin, and Daniel Rothenberg. "Physically regularized machine learning emulators of aerosol activation." Geoscientific Model Development 14, no. 5 (2021): 3067–77. http://dx.doi.org/10.5194/gmd-14-3067-2021.

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Abstract. The activation of aerosol into cloud droplets is an important step in the formation of clouds and strongly influences the radiative budget of the Earth. Explicitly simulating aerosol activation in Earth system models is challenging due to the computational complexity required to resolve the necessary chemical and physical processes and their interactions. As such, various parameterizations have been developed to approximate these details at reduced computational cost and accuracy. Here, we explore how machine learning emulators can be used to bridge this gap in computational cost and

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Owen, Nathan E., and Lorena Liuzzo. "Impact of land use on water resources via a Gaussian process emulator with dimension reduction." Journal of Hydroinformatics 21, no. 3 (2019): 411–26. http://dx.doi.org/10.2166/hydro.2019.067.

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Abstract The replacement of models by emulators is becoming a frequent approach in environmental science due to the reduction of computational time, and different approaches exist in the water resources modelling literature. In this work, an emulator to mimic a hydrological model at catchment scale is proposed, taking into account the effect of land use on the hydrological processes involved in water balance. The proposed approach is novel for its combination of techniques. The dimension of the temporal model output is reduced via principal component analysis, and this reduced output is approx

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Shin, Ju-Young, Junsang Park, and Kyu Rang Kim. "Emulators of a Physical Model for Estimating Leaf Wetness Duration." Agronomy 11, no. 2 (2021): 216. http://dx.doi.org/10.3390/agronomy11020216.

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Leaf wetness duration (LWD) has rarely been measured due to lack of standard protocol. Thus, empirical and physical models have been proposed to resolve this gap. Although the physical model provides robust performance in diverse conditions, it requires many variables. The empirical model requires fewer variables; nevertheless, its performance is specific to a given condition. A universal LWD estimation model using fewer variables is thus needed to improve LWD estimation. The objective of this study was to develop emulators of the LWD estimation physical model for use as universal empirical mo

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Litkowski, Kamil, and Jakub Smołka. "Performance comparison of an emulator and physical Android mobile device based on chess algorithm." Journal of Computer Sciences Institute 6 (March 30, 2018): 77–81. http://dx.doi.org/10.35784/jcsi.644.

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Article discusses performance differences of emulators Android Emulator version 26.1.4 and BlueStacks App Player 3 and physical devices with Android platform. Performance is measured by the chess algorithm execution time. Article also describes previous research related to this subject. The article also presents the used research methods, results of research based on chess algorithms and conclusions.

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Salmanidou, D. M., S. Guillas, A. Georgiopoulou, and F. Dias. "Statistical emulation of landslide-induced tsunamis at the Rockall Bank, NE Atlantic." Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences 473, no. 2200 (2017): 20170026. http://dx.doi.org/10.1098/rspa.2017.0026.

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Statistical methods constitute a useful approach to understand and quantify the uncertainty that governs complex tsunami mechanisms. Numerical experiments may often have a high computational cost. This forms a limiting factor for performing uncertainty and sensitivity analyses, where numerous simulations are required. Statistical emulators, as surrogates of these simulators, can provide predictions of the physical process in a much faster and computationally inexpensive way. They can form a prominent solution to explore thousands of scenarios that would be otherwise numerically expensive and d

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Wexler, Mark. "Two distinctions concerning emulators." Behavioral and Brain Sciences 27, no. 3 (2004): 422. http://dx.doi.org/10.1017/s0140525x04490098.

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The target article distinguishes between modal and amodal emulators (the former predict future sensory states from current sensory states and motor actions, the latter operate on more abstract descriptions of the environment), and motor and environment emulators (the former predict the results of one's own actions, the latter predict all changes in the environment). I question the applicability of modal emulators, and the generalization to environment emulators.

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Mandelli, Davide, and Erio Tosatti. "Microscopic friction emulators." Nature 526, no. 7573 (2015): 332–33. http://dx.doi.org/10.1038/526332a.

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SAH, MAHESHWAR PD, RAM KAJI BUDHATHOKI, CHANGJU YANG, and HYONGSUK KIM. "EXPANDABLE CIRCUITS OF MUTATOR-BASED MEMCAPACITOR EMULATOR." International Journal of Bifurcation and Chaos 23, no. 05 (2013): 1330017. http://dx.doi.org/10.1142/s0218127413300176.

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An efficient method to build the expandable circuits of memcapacitor (MC) emulator in various configurations is proposed using our expandable memristor (MR) emulator. Most of the previous studies succeeded in designing only a stand-alone memcapacitor emulator. In this study, the expandable architecture of memcapacitor emulator is addressed, where the connectivity and interoperability are the main concern. It is shown that the memcapacitor circuits can be built only with memristors together with a single mutator, which is connected after each input source. Examples of serial, parallel and hybri

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Meyer, David, Thomas Nagler, and Robin J. Hogan. "Copula-based synthetic data augmentation for machine-learning emulators." Geoscientific Model Development 14, no. 8 (2021): 5205–15. http://dx.doi.org/10.5194/gmd-14-5205-2021.

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Abstract. Can we improve machine-learning (ML) emulators with synthetic data? If data are scarce or expensive to source and a physical model is available, statistically generated data may be useful for augmenting training sets cheaply. Here we explore the use of copula-based models for generating synthetically augmented datasets in weather and climate by testing the method on a toy physical model of downwelling longwave radiation and corresponding neural network emulator. Results show that for copula-augmented datasets, predictions are improved by up to 62 % for the mean absolute error (from 1

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Rothenberg, Daniel, and Chien Wang. "An aerosol activation metamodel of v1.2.0 of the pyrcel cloud parcel model: development and offline assessment for use in an aerosol–climate model." Geoscientific Model Development 10, no. 4 (2017): 1817–33. http://dx.doi.org/10.5194/gmd-10-1817-2017.

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Abstract. We describe an emulator of a detailed cloud parcel model which has been trained to assess droplet nucleation from a complex, multimodal aerosol size distribution simulated by a global aerosol–climate model. The emulator is constructed using a sensitivity analysis approach (polynomial chaos expansion) which reproduces the behavior of the targeted parcel model across the full range of aerosol properties and meteorology simulated by the parent climate model. An iterative technique using aerosol fields sampled from a global model is used to identify the critical aerosol size distribution

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Gardner, Paul, Timothy J. Rogers, Charles Lord, and Rob J. Barthorpe. "Sparse Gaussian Process Emulators for Surrogate Design Modelling." Applied Mechanics and Materials 885 (November 2018): 18–31. http://dx.doi.org/10.4028/www.scientific.net/amm.885.18.

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Efficient surrogate modelling of computer models (herein defined as simulators) becomes of increasing importance as more complex simulators and non-deterministic methods, such as Monte Carlo simulations, are utilised. This is especially true in large multidimensional design spaces. In order for these technologies to be feasible in an early design stage context, the surrogate model (oremulator) must create an accurate prediction of the simulator in the proposed design space. Gaussian Processes (GPs) are a powerful non-parametric Bayesian approach that can be used as emulators. The probabilistic

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Gutierrez-Lopez, Marcos, Juan Prado-Olivarez, Javier Diaz-Carmona, Carlos A. Herrera-Ramírez, Jose Antonio Gutierrez-Gnecchi, and Carlos G. Medina-Sánchez. "Electrical Impedance-Based Methodology for Locating Carcinoma Emulators on Breast Models." Journal of Sensors 2019 (May 2, 2019): 1–16. http://dx.doi.org/10.1155/2019/8587191.

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There is a worldwide need for new methodologies to prediagnose breast cancer in an early stage, which helps to notably increase the possibility of saving the mammary gland or patient’s life. This work describes a new methodology proposal based on electrical impedance for the localization of preclinical carcinoma emulators in agar phantoms of the breast. The impedance is systematically measured through eight Ag/AgCl electrodes uniformly distributed in a ring arrangement placed on the breast agar phantom. The fundamental idea of the proposed location algorithm, named Anomaly Tracking Circle algo

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Tran, Giang T., Kevin I. C. Oliver, András Sóbester, et al. "Building a traceable climate model hierarchy with multi-level emulators." Advances in Statistical Climatology, Meteorology and Oceanography 2, no. 1 (2016): 17–37. http://dx.doi.org/10.5194/ascmo-2-17-2016.

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Abstract. To study climate change on multi-millennial timescales or to explore a model's parameter space, efficient models with simplified and parameterised processes are required. However, the reduction in explicitly modelled processes can lead to underestimation of some atmospheric responses that are essential to the understanding of the climate system. While more complex general circulations are available and capable of simulating a more realistic climate, they are too computationally intensive for these purposes. In this work, we propose a multi-level Gaussian emulation technique to effici

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Lee, John A. N. "Emulators of “historic machines”." ACM SIGCSE Bulletin 32, no. 2 (2000): 10–11. http://dx.doi.org/10.1145/355354.355357.

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Romero, Francisco J., Manuel Escudero, Alfredo Medina-Garcia, Diego P. Morales, and Noel Rodriguez. "Meminductor Emulator Based on a Modified Antoniou’s Gyrator Circuit." Electronics 9, no. 9 (2020): 1407. http://dx.doi.org/10.3390/electronics9091407.

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In this work, we presented the design and simulation of a new flux-controlled meminductor emulator based on a modified version of the well-known Antoniou’s inductor simulator circuit. The constitutive theoretical equations of meminductance are presented and subsequently correlated with the electrical behavior of Antoniou’s circuit, hence illustrating its practical meminductive behavior with a proper selection of feedback impedances. After that, the feasibility of a practical implementation using off-the-shelf devices is illustrated firstly for a two-state meminductor and secondly for a continu

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Franke, James A., Christoph Müller, Joshua Elliott, et al. "The GGCMI Phase 2 emulators: global gridded crop model responses to changes in CO<sub>2</sub>, temperature, water, and nitrogen (version 1.0)." Geoscientific Model Development 13, no. 9 (2020): 3995–4018. http://dx.doi.org/10.5194/gmd-13-3995-2020.

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Abstract. Statistical emulation allows combining advantageous features of statistical and process-based crop models for understanding the effects of future climate changes on crop yields. We describe here the development of emulators for nine process-based crop models and five crops using output from the Global Gridded Model Intercomparison Project (GGCMI) Phase 2. The GGCMI Phase 2 experiment is designed with the explicit goal of producing a structured training dataset for emulator development that samples across four dimensions relevant to crop yields: atmospheric carbon dioxide (CO2) concen

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Takakura, Jun'ya, Shinichiro Fujimori, Kiyoshi Takahashi, et al. "Reproducing complex simulations of economic impacts of climate change with lower-cost emulators." Geoscientific Model Development 14, no. 5 (2021): 3121–40. http://dx.doi.org/10.5194/gmd-14-3121-2021.

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Abstract. Process-based models are powerful tools for simulating the economic impacts of climate change, but they are computationally expensive. In order to project climate-change impacts under various scenarios, produce probabilistic ensembles, conduct online coupled simulations, or explore pathways by numerical optimization, the computational and implementation cost of economic impact calculations should be reduced. To do so, in this study, we developed various emulators that mimic the behaviours of simulation models, namely economic models coupled with bio/physical-process-based impact mode

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Ye, Zhijing, Fei Hu, Lin Zhang, Zhe Chu, and Zheng O'Neill. "A Low-Cost Experimental Testbed for Energy-Saving HVAC Control Based on Human Behavior Monitoring." International Journal of Cyber-Physical Systems 2, no. 1 (2020): 33–55. http://dx.doi.org/10.4018/ijcps.2020010103.

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Heating, ventilation, and cooling (HVAC) is the largest source of residential energy consumption. Occupancy sensors' data can be used for HVAC control since they indicate the number of people in the building. HVAC/sensor interactions show the essential features of a typical cyber-physical system (CPS). However, there are communication protocol incompatibility issues in the CPS interface between the sensors and the building HVAC server. Through either wired or wireless communication links, the server always needs to understand the communication schedule to receive occupant values from sensors.

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Xin, Lijian, Yong Li, Hao Sun, and Xiang Zhang. "OTA Testing for Massive MIMO Devices Using Cascaded APM Networks and Channel Emulators." International Journal of Antennas and Propagation 2019 (November 12, 2019): 1–14. http://dx.doi.org/10.1155/2019/6901383.

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This paper proposes an over-the-air (OTA) testing setup for millimeter-wave (mmWave) massive multiple-input multiple-output (MIMO) equipment using cascaded amplitude and phase modulation (APM) network and channel emulator. Compared with the existing test setup with mechanical switch, the proposed testing setup enables more accurate reconstruction of the radio channel environment under the multiprobe anechoic chamber (MPAC) setup without increasing the number of channel emulators (CEs) to control the system cost. The constructed MPAC testing setup for mmWave and massive MIMO equipment is compos

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Ross, Molly, and Hitesh Bindra. "Statistical Mechanics-Based Surrogates for Scalar Transport in Channel Flow." Fluids 6, no. 2 (2021): 79. http://dx.doi.org/10.3390/fluids6020079.

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Thermal hydraulics, in certain components of nuclear reactor systems, involve complex flow scenarios, such as flows assisted by free jets and stratified flows leading to turbulent mixing and thermal fluctuations. These complex flow patterns and thermal fluctuations can be extremely critical from a reactor safety standpoint. The component-level lumped approximations (0D) or one-dimensional approximations (1D) models for such components and subsystems in safety analysis codes cannot capture the physics accurately, and may introduce a large degree of modeling uncertainty. On the other hand, high-

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Sarri, A., S. Guillas, and F. Dias. "Statistical emulation of a tsunami model for sensitivity analysis and uncertainty quantification." Natural Hazards and Earth System Sciences 12, no. 6 (2012): 2003–18. http://dx.doi.org/10.5194/nhess-12-2003-2012.

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Abstract. Due to the catastrophic consequences of tsunamis, early warnings need to be issued quickly in order to mitigate the hazard. Additionally, there is a need to represent the uncertainty in the predictions of tsunami characteristics corresponding to the uncertain trigger features (e.g. either position, shape and speed of a landslide, or sea floor deformation associated with an earthquake). Unfortunately, computer models are expensive to run. This leads to significant delays in predictions and makes the uncertainty quantification impractical. Statistical emulators run almost instantaneous

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Zauner, Michael, Philipp Mandl, Oliver König, Christoph Hametner, and Stefan Jakubek. "Stability analysis of a flatness-based controller driving a battery emulator with constant power load." at - Automatisierungstechnik 69, no. 2 (2021): 142–54. http://dx.doi.org/10.1515/auto-2020-0107.

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Abstract This contribution deals with the control of a battery emulator used in automotive testbeds for electric drivetrains. The battery emulator, which is realized as a DC-DC converter, is connected to a unit-under-test (UUT), e. g., an electric motor inverter. To accurately emulate the dynamic impedance of a battery, a highly dynamic output is required. Additionally, battery emulators should be applicable for a large variety of UUTs, hence robust performance in a large operating range is also required. This is especially challenging when the UUT behaves like a constant power load, as this c

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Dartnall, Terry. "Epistemology, emulators, and extended minds." Behavioral and Brain Sciences 27, no. 3 (2004): 401–2. http://dx.doi.org/10.1017/s0140525x04260095.

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Grush's framework has epistemological implications and explains how it is possible to acquire offline empirical knowledge. It also complements the extended-mind thesis, which says that mind leaks into the world. Grush's framework suggests that the world leaks into the mind through the offline deployment of emulators that we usually deploy in our experience of the world.

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Moutoussamy, Vincent, Simon Nanty, and Benoît Pauwels. "Emulators for stochastic simulation codes." ESAIM: Proceedings and Surveys 48 (January 2015): 116–55. http://dx.doi.org/10.1051/proc/201448005.

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Bastos, Leonardo S., and Anthony O’Hagan. "Diagnostics for Gaussian Process Emulators." Technometrics 51, no. 4 (2009): 425–38. http://dx.doi.org/10.1198/tech.2009.08019.

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BessadosSantos, A., and J. P. vonderWeid. "PDL Effects in PMD Emulators Made Out With HiBi Fibers: Building PMD/PDL Emulators." IEEE Photonics Technology Letters 16, no. 2 (2004): 452–54. http://dx.doi.org/10.1109/lpt.2003.821057.

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Sathian, K. "Modality, quo vadis?" Behavioral and Brain Sciences 27, no. 3 (2004): 413–14. http://dx.doi.org/10.1017/s0140525x04390096.

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Grush's emulation theory comprises both modality-specific and amodal emulators. I suggest that the amodal variety be replaced by multisensory emulators. The key distinction is that multisensory processing retains the characteristics of individual sensory modalities, in contrast to amodal processing. The latter term is better reserved for conceptual and linguistic systems, rather than perception or emulation.

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Ferreira, Carla Janaina, Ian Vernon, Camila Caiado, et al. "Efficient Selection of Reservoir Model Outputs within an Emulation-Based Bayesian History-Matching Uncertainty Analysis." SPE Journal 25, no. 04 (2020): 2119–42. http://dx.doi.org/10.2118/201209-pa.

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Summary When performing classic uncertainty reduction according to dynamic data, a large number of reservoir simulations need to be evaluated at high computational cost. As an alternative, we construct Bayesian emulators that mimic the dominant behavior of the reservoir simulator, and which are several orders of magnitude faster to evaluate. We combine these emulators within an iterative procedure that involves substantial but appropriate dimensional reduction of the output space (which represents the reservoir physical behavior, such as production data), enabling a more effective and efficien

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Wang, Ying, Zhi Gang Jin, and Yi Shan Su. "Simulator-to-Emulator: Analysis and Design of Experiment Platform for Underwater Sensor Networks." Applied Mechanics and Materials 473 (December 2013): 219–25. http://dx.doi.org/10.4028/www.scientific.net/amm.473.219.

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Researchers have proposed many protocols for underwater sensor networks (UWSN) in recent years. How to test the designed protocols accurately and effectively in a lab controlled environment has become an important problem. The existing simulators and emulators for UWSN are analyzed and how to design an experimental platform from simulator to emulator in a laboratory environment is proposed. It can accurately simulate the complex environment in water just using a computer, and test the algorithms and protocols for UWSN; it can also do the test in a real environment by the combination of hardwar

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ARIK, SEDA, and RECAİ KILIÇ. "RECONFIGURABLE HARDWARE PLATFORM FOR EXPERIMENTAL TESTING AND VERIFYING OF MEMRISTOR-BASED CHAOTIC SYSTEMS." Journal of Circuits, Systems and Computers 23, no. 10 (2014): 1450145. http://dx.doi.org/10.1142/s021812661450145x.

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Although the memristor is produced physically, it is not commercially available yet. For this reason the testing and verifying of memristor-based systems are performed only by using simulation tools and emulator circuits composed of generally discrete components. In this study, field programmable analog array (FPAA) as a reconfigurable hardware platform is introduced for the experimental testing and verifying of memristor-based chaotic systems. By using this platform, it is possible to implement several memristor-based chaotic systems characterized with different nonlinear functions on a uniqu

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Moussa, Intissar, Adel Khedher, and Adel Bouallegue. "Design of a Low-Cost PV Emulator Applied for PVECS." Electronics 8, no. 2 (2019): 232. http://dx.doi.org/10.3390/electronics8020232.

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Applied tests on a real photovoltaic panel for a consolidated analysis require complex experiment setup and permanent availability of climatic conditions. This method is ineffective and can damage the PV system. As a result, PV emulators are highly requested in solar energy conversion and generation research, which rests essentially on a maximum power point tracking control algorithm (MPPT) and an adapting power stage as the DC-DC converter and PV inverter. The PV emulator guarantees a controllable light source environment to act as a real PV system in the laboratory. This paper deals with the

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Al-Shidaifat, AlaaDdin, Shubhro Chakrabartty, Sandeep Kumar, Suvojit Acharjee, and Hanjung Song. "A Novel Characterization and Performance Measurement of Memristor Devices for Synaptic Emulators in Advanced Neuro-Computing." Micromachines 11, no. 1 (2020): 89. http://dx.doi.org/10.3390/mi11010089.

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The advanced neuro-computing field requires new memristor devices with great potential as synaptic emulators between pre- and postsynaptic neurons. This paper presents memristor devices with TiO2 Nanoparticles (NPs)/Ag(Silver) and Titanium Dioxide (TiO2) Nanoparticles (NPs)/Au(Gold) electrodes for synaptic emulators in an advanced neurocomputing application. A comparative study between Ag(Silver)- and Au(Gold)-based memristor devices is presented where the Ag electrode provides the improved performance, as compared to the Au electrode. Device characterization is observed by the Scanning Electr

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Ganapathy, Apoorva, and Taposh Kumar Neogy. "Artificial Intelligence Price Emulator: A Study on Cryptocurrency." Global Disclosure of Economics and Business 6, no. 2 (2017): 115–22. http://dx.doi.org/10.18034/gdeb.v6i2.558.

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The cryptocurrency Artificial intelligence price emulator is a software programmed to collect cryptocurrency market data, analyze the data and predict the market price using the collected data. Computer emulators are programmed to mimic and copy behaviors or other software/hardware. The reason for emulation is to get to a particular result as quickly as possible. Machine learning is the ability of computers to read and process data while learning from the data with human interference or influence. This work focused majorly on how cryptocurrency market prices can be emulated using Artificial In

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Parto, Midya, William E. Hayenga, Alireza Marandi, Demetrios N. Christodoulides, and Mercedeh Khajavikhan. "Nanolaser-based emulators of spin Hamiltonians." Nanophotonics 9, no. 13 (2020): 4193–98. http://dx.doi.org/10.1515/nanoph-2020-0230.

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AbstractFinding the solution to a large category of optimization problems, known as the NP-hard class, requires an exponentially increasing solution time using conventional computers. Lately, there has been intense efforts to develop alternative computational methods capable of addressing such tasks. In this regard, spin Hamiltonians, which originally arose in describing exchange interactions in magnetic materials, have recently been pursued as a powerful computational tool. Along these lines, it has been shown that solving NP-hard problems can be effectively mapped into finding the ground sta

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Huntington, John. "Microcomputer File/Program Transporters and Emulators:." Computers in the Schools 9, no. 1 (1992): 49–57. http://dx.doi.org/10.1300/j025v09n01_05.

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Martignoni, Lorenzo, Roberto Paleari, Alessandro Reina, Giampaolo Fresi Roglia, and Danilo Bruschi. "A methodology for testing CPU emulators." ACM Transactions on Software Engineering and Methodology 22, no. 4 (2013): 1–26. http://dx.doi.org/10.1145/2522920.2522922.

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Rougier, Jonathan. "Efficient Emulators for Multivariate Deterministic Functions." Journal of Computational and Graphical Statistics 17, no. 4 (2008): 827–43. http://dx.doi.org/10.1198/106186008x384032.

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Abuelma’atti, Muhammad Taher, and Sagar Kumar Dhar. "New CFOA-based floating immittance emulators." International Journal of Electronics 103, no. 12 (2016): 1984–97. http://dx.doi.org/10.1080/00207217.2016.1138544.

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