Academic literature on the topic 'RTHS'

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Journal articles on the topic "RTHS"

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Ning, Xizhan. "Mixed Sensitivity-Based Robust H∞ Control Method for Real-Time Hybrid Simulation." Symmetry 13, no. 5 (May 10, 2021): 840. http://dx.doi.org/10.3390/sym13050840.

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Real-time hybrid simulation (RTHS), dividing the emulated structure into numerical substructures (NS) and physical substructures (PS), is a powerful technique to obtain responses and then to assess the seismic performance of civil engineering structures. A transfer system, a servo-hydraulic actuator or shaking table, is used to apply boundary conditions between the two substructures. However, the servo-hydraulic actuator is inherently a complex system with nonlinearities and may introduce time delays into the RTHS, which will decrease the accuracy and stability of the RTHS. Moreover, there are various uncertainties in RTHS. An accurate and robust actuator control strategy is necessary to guarantee reliable simulation results. Therefore, a mixed sensitivity-based H∞ control method was proposed for RTHS. In H∞ control, the dynamics and robustness of the closed-loop transfer system are realized by performance weighting functions. A form of weighting function was given considering the requirement in RTHS. The influence of the weighting functions on the dynamics was investigated. Numerical simulations and actual RTHSs were carried out under symmetric and asymmetric dynamic loads, namely sinusoidal and earthquake excitation, respectively. Results indicated that the H∞ control method used for RTHS is feasible, and it exhibits an excellent tracking performance and robustness.
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Ning, Xizhan, Zhen Wang, and Bin Wu. "Kalman Filter-Based Adaptive Delay Compensation for Benchmark Problem in Real-Time Hybrid Simulation." Applied Sciences 10, no. 20 (October 13, 2020): 7101. http://dx.doi.org/10.3390/app10207101.

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Real-time hybrid simulation (RTHS) is a versatile, effective, and promising experimental method used to evaluate the structural performance under dynamic loads. In RTHS, the emulated structure is divided into a numerically simulated substructure (NS) and a physically tested substructure (PS), and a transfer system is used to ensure the force equilibrium and deformation compatibility between the substructures. Owing to the inherent dynamics of the PS and transfer system (referred to as a control plant in this study), there is a time-delay between the displacement command and measurement. This causes de-synchronization between the boundary of the PS and NS, and affects the stability and accuracy of the RTHS. In this study, a Kalman filter-based adaptive delay compensation (KF-ADC) method is proposed to address this issue. In this novel method, the control plant is represented by a discrete-time model, whose coefficients are time-varying and are estimated online by the KF using the displacement commands and measurements. Based on this time-varying model, the delay compensator is constructed employing the desired displacements. The KF performance is investigated theoretically and numerically. To assess the performance of the proposed strategy, a series of virtual RTHSs are performed on the Benchmark problem in RTHS, which was based on an actual experimental system. Meanwhile, several promising delay-compensation strategies are employed for comparison. Results reveal that the proposed time-delay compensation method effectively enhances the accuracy, stability, and robustness of RTHS.
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Bas, Elif Ecem, and Mohamed A. Moustafa. "Real-Time Hybrid Simulation with Deep Learning Computational Substructures: System Validation Using Linear Specimens." Machine Learning and Knowledge Extraction 2, no. 4 (October 23, 2020): 469–89. http://dx.doi.org/10.3390/make2040026.

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Hybrid simulation (HS) is an advanced simulation method that couples experimental testing and analytical modeling to better understand structural systems and individual components’ behavior under extreme events such as earthquakes. Conducting HS and real-time HS (RTHS) can be challenging with complex analytical substructures due to the nature of direct integration algorithms when the finite element method is employed. Thus, alternative methods such as machine learning (ML) models could help tackle these difficulties. This study aims to investigate the quality of the RTHS tests when a deep learning algorithm is used as a metamodel to represent the dynamic behavior of a nonlinear analytical substructure. The compact HS laboratory at the University of Nevada, Reno was utilized to conduct exclusive RTHS tests. Simulating a braced frame structure, the RTHS tests combined, for the first time, linear brace model specimens (physical substructure) along with nonlinear ML models for the frame (analytical substructure). Deep long short-term memory (Deep-LSTM) networks were employed and trained to develop the metamodels of the analytical substructure using the Python environment. The training dataset was obtained from pure analytical finite element simulations for the complete structure under earthquake excitation. The RTHS evaluations were first conducted for virtual RTHS tests, where substructuring was sought between the LSTM metamodel and virtual experimental substructure. To validate the proposed RTHS testing methodology and full system, several actual RTHS tests were conducted. The results from ML-based RTHS were evaluated for different ML models and compared against results from conventional RTHS with finite element models. The paper demonstrates the potential of conducting successful experimental RTHS using Deep-LSTM models, which could open the door for unparalleled new opportunities in structural systems design and assessment.
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Dong, Bai Ping, Richard Sause, and James M. Ricles. "Seismic Performance of Steel MRF Structures with Nonlinear Viscous Dampers from Real-Time Hybrid Simulations." Key Engineering Materials 763 (February 2018): 967–74. http://dx.doi.org/10.4028/www.scientific.net/kem.763.967.

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Real-time hybrid earthquake simulations (RTHS) were performed on steel moment-resisting frame (MRF) structures with nonlinear viscous dampers. The test structures for the RTHS contain a moment-resisting frame (MRF), a frame with nonlinear viscous dampers (DBF), and a gravity load system with associated seismic mass and gravity loads. The MRFs have reduced beam section beam-to-column connections and are designed for 100%, 75%, and 60%, respectively, of the base shear strength required by ASCE 7-10. RTHS were performed to evaluate the seismic performance of these MRF structures. Two phases of RTHS were conducted: (Phase-1) the DBF is the experimental substructure in the laboratory; and (Phase-2) the DBF with the MRF is the experimental substructure. Results from the two phases of RTHS are evaluated. The evaluation shows that the RTHS provide a realistic and accurate simulation of the seismic response of the test structures. The evaluation also shows that steel MRF structures designed with reduced strength and with nonlinear viscous dampers can have excellent seismic performance.
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Riascos-González, Carlos Andrés, Peter Thomson, and Shirley Dyke. "Evaluación del desempeño de un amortiguador de masa sintonizado no lineal mediante simulaciones híbridas en tiempo real." INGE CUC 15, no. 2 (September 13, 2019): 11–22. http://dx.doi.org/10.17981/ingecuc.15.2.2019.02.

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Introducción: En este artículo se describe la simulación híbrida en tiempo real (RTHS) de un amortiguador no lineal de masa sintonizado (NTMD) y se comparan los resultados con los obtenidos de ensayos experimentales convencionales de una estructura a cortante, de un piso, con el NTMD. Objetivo: El objetivo de este artículo es valuar la efectividad de una RTHS para estimar el desempeño de un NTMD. Metodología: La metodología consistió de las siguientes tres etapas: identificación de la estructura principal, diseño del NTMD y evaluación experimental del sistema estructura-NTMD. Para la tercera etapa, se utilizaron RTHS y ensayos sobre mesa vibratoria. Resultados: Los resultados de los ensayos en mesa vibratoria demostraron que el NTMD redujo el 77% y 63% de las aceleraciones pico y RMS de la estructura principal, con respecto a la estructura sin control. Los valores de estas reducciones obtenidos con RTHS fueron 73% y 63%, respectivamente. Los índices de precisión del sistema de transferencia correspondieron a una amplitud generalizada de 1.01 y un retraso de 2 ms. Conclusiones: el NTMD, con una razón de masas del 10%, alcanzó reducciones superiores al 60% de la respuesta estructural. La RTHS y el ensayo de mesa vibratoria demostraron que el sistema estructura-NTMD tuvo solo un pico en la respuesta en frecuencia. El ruido en la retroalimentación de la RTHS aumentó el grado de amortiguamiento de la estructura controlada. Finalmente, los resultados experimentales demostraron que la RTHS es una técnica que predice efectivamente la aceleración RMS del sistema estructura-NTMD y puede sobreestimar ligeramente su aceleración pico.
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Li, Hong-Wei, Fang Wang, Yi-Qing Ni, You-Wu Wang, and Zhao-Dong Xu. "An Adaptive and Robust Control Strategy for Real-Time Hybrid Simulation." Sensors 22, no. 17 (August 31, 2022): 6569. http://dx.doi.org/10.3390/s22176569.

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A real-time hybrid simulation (RTHS) is a promising technique to investigate a complicated or large-scale structure by dividing it into numerical and physical substructures and conducting cyber-physical tests on it. The control system design of an RTHS is a challenging topic due to the additional feedback between the physical and numerical substructures, and the complexity of the physical control plant. This paper proposes a novel RTHS control strategy by combining the theories of adaptive control and robust control, where a reformed plant which is highly simplified compared to the physical plant can be used to design the control system without compromising the control performance. The adaptation and robustness features of the control system are realized by the bounded-gain forgetting least-squares estimator and the sliding mode controller, respectively. The control strategy is validated by investigating an RTHS benchmark problem of a nonlinear three-story steel frame The proposed control strategy could simplify the control system design and does not require a precise physical plant; thus, it is an efficient and practical option for an RTHS.
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Song, Jiyoung, Kyeon Hur, Jeehoon Lee, Hyunjae Lee, Jaegul Lee, Solyoung Jung, Jeonghoon Shin, and Heejin Kim. "Hardware-in-the-Loop Simulation Using Real-Time Hybrid-Simulator for Dynamic Performance Test of Power Electronics Equipment in Large Power System." Energies 13, no. 15 (August 1, 2020): 3955. http://dx.doi.org/10.3390/en13153955.

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This paper presents the hardware-in-the-loop simulation for dynamic performance test (HILS-DPT) of power electronic equipment replicas using a real-time hybrid simulator (RTHS). The authors developed the procedure of HILS-DPT, and as an actual case example, the results of HILS-DPT of Static VAR Compensator (SVC) replica using RTHS is presented. RTHS is a co-simulation tool that synthesizes real-time simulator (RTS) with transient stability program to perform real-time dynamic simulation of a large power system. As power electronics applications have been increasing, the electric utilities have performed HILS-DPT of the power electronics equipment to validate the performance and investigate interactions. Because inspection tests are limited in their ability to validate its impact on the power system during various contingencies, all power electronics equipment newly installed in the Korean power system should take HILS-DPT using large-scale RTS with replicas since 2018. Although large-scaled RTS offers an accuracy improvement, it requires lots of hardware resources, time, and effort to model and simulate the equipment and power systems. Therefore, the authors performed SVC HILS-DPT using RTHS, and the result of the first practical application of RTHS present feasibility comparing the result of HILS-DPT using large-scale RTS. The authors will discuss the test results and share lessons learned from the industrial experience of HILS-DPT using RTHS.
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Kolay, Chinmoy, James M. Ricles, Thomas M. Marullo, Safwan Al-Subaihawi, and Spencer E. Quiel. "Computational Challenges in Real-Time Hybrid Simulation of Tall Buildings under Multiple Natural Hazards." Key Engineering Materials 763 (February 2018): 566–75. http://dx.doi.org/10.4028/www.scientific.net/kem.763.566.

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The essence of real-time hybrid simulation (RTHS) is its ability to combine the benefits ofphysical testing with those of computational simulations. Therefore, an understanding of the real-timecomputational issues and challenges is important, especially for RTHS of large systems, in advancingthe state of the art. To this end, RTHS of a 40-story (plus 4 basement stories) tall building havingnonlinear energy dissipation devices for mitigation of multiple natural hazards, including earthquakeand wind events, were conducted at the NHERI Lehigh Experimental Facility. An efficient implementationprocedure of the recently proposed explicit modified KR-a (MKR-a) method was developedfor performing the RTHS. This paper discusses this implementation procedure and the real-time computationalissues and challenges with regard to this implementation procedure. Some results from theRTHS involving earthquake loading are presented to highlight the need for and application of RTHSin performance based design of tall buildings under earthquake hazard.
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Rivera, N., L. Illanes, J. A. Baier, and C. Hernandez. "Reconnection with the Ideal Tree: A New Approach to Real-Time Search." Journal of Artificial Intelligence Research 50 (June 5, 2014): 235–64. http://dx.doi.org/10.1613/jair.4292.

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Many applications, ranging from video games to dynamic robotics, require solving single-agent, deterministic search problems in partially known environments under very tight time constraints. Real-Time Heuristic Search (RTHS) algorithms are specifically designed for those applications. As a subroutine, most of them invoke a standard, but bounded, search algorithm that searches for the goal. In this paper we present FRIT, a simple approach for single-agent deterministic search problems under tight constraints and partially known environments that unlike traditional RTHS does not search for the goal but rather searches for a path that connects the current state with a so-called ideal tree T . When the agent observes that an arc in the tree cannot be traversed in the actual environment, it removes such an arc from T and then carries out a reconnection search whose objective is to find a path between the current state and any node in T . The reconnection search is done using an algorithm that is passed as a parameter to FRIT. If such a parameter is an RTHS algorithm, then the resulting algorithm can be an RTHS algorithm. We show, in addition, that FRIT may be fed with a (bounded) complete blind-search algorithm. We evaluate our approach over grid pathfinding benchmarks including game maps and mazes. Our results show that FRIT, used with RTAA*, a standard RTHS algorithm, outperforms RTAA* significantly; by one order of magnitude under tight time constraints. In addition, FRIT(daRTAA*) substantially outperforms daRTAA*, a state-of-the-art RTHS algorithm, usually obtaining solutions 50% cheaper on average when performing the same search effort. Finally, FRIT(BFS), i.e., FRIT using breadth-first-search, obtains best-quality solutions when time is limited compared to Adaptive A* and Repeated A*. Finally we show that Bug2, a pathfinding-specific navigation algorithm, outperforms FRIT(BFS) when planning time is extremely limited, but when given more time, the situation reverses.
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Tang, Yu, and Hui Qin. "Stability and Accuracy Analysis of Real-Time Hybrid Simulation (RTHS) with Incomplete Boundary Conditions and Actuator Delay." International Journal of Structural Stability and Dynamics 20, no. 11 (September 24, 2020): 2050122. http://dx.doi.org/10.1142/s0219455420501229.

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The main purpose of this paper is to examine the effects of incomplete boundary conditions and actuator delay on the dynamic responses of seismically excited civil structures. A set of constraint equations representing the reserved interface degrees-of-freedom (DOFs) and the delay are introduced to form a mechanical model of real-time hybrid simulation (RTHS) (referred to as RTHS-I&A) for a multi-degree-of-freedom (MDOF) system based on dynamic substructure method (DSM). Then, the RTHS-I&A system is modeled by a discrete closed-loop transfer function based on discrete control theory, using a selected integration algorithm, and the stability of the system is investigated by examining the poles of the function. Three typical cases with different structural properties are utilized to investigate the effects of incomplete boundary conditions and actuator delay. The results show that both incomplete boundary conditions and actuator delay greatly affect the dynamic responses of structures, and the combination of the two factors will amplify their influence especially on the nodes at the interface. The numerical model of RTHS-I&A proposed in this paper is quite useful for evaluating the responses of structures with different interface conditions and loading schemes that are preliminarily designed before a physical testing is conducted, and provides guidance for future relevant researches.
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Dissertations / Theses on the topic "RTHS"

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Li, Chi-yan Vivian. "Beyond the TV screen : RTHK : redevelopment of RTHK Headquarters /." Hong Kong : University of Hong Kong, 1998. http://sunzi.lib.hku.hk/hkuto/record.jsp?B25956103.

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Yu, Suk-wa Alanar, and 余淑華. "Broadcasting park, RTHK." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1998. http://hub.hku.hk/bib/B31984332.

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Yu, Suk-wa Alanar. "Broadcasting park, RTHK." Hong Kong : University of Hong Kong, 1998. http://sunzi.lib.hku.hk/hkuto/record.jsp?B2595068x.

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Chahine, Sandy, and Selma Chowdhury. "RTOS med 1.5K RAM?" Thesis, KTH, Hälsoinformatik och logistik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-241439.

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Internet of Things (IoT) blir allt vanligare i dagens samhälle. Allt fler vardagsenheter blir uppkopplade mot det trådlösa nätet. För det krävs kostnadseffektiv datorkraft vilket medför att det kan vara gynnsamt att undersöka mikrokontroller och hur de skulle klara av detta arbete. Dessa kan ses som mindre kompakta datorer vilka trots sin storlek erbjuder en hel del prestanda. Denna studie avser att underrätta om något befintligt operativsystem kan fungera ihop med mikrokontrollern PIC18F452 samt hur många processer som kan köras parallellt givet MCU:ns begränsade minne. Olika metodval undersöktes och diskuterades för att avgöra vilken metod som skulle generera bäst resultat. En undersökning och flera experiment genomfördes för att kunna besvara dessa frågor. Experimenten krävde att en speciell utvecklingsmiljö installerades och att den generiska FreeRTOS distributionen porterades till både rätt processor och experimentkort. Porteringen lyckades och experimenten visade att frågeställningen kunde besvaras med ett ja - det går att köra ett realtidsoperativsystem på en MCU med enbart 1,5 kB RAM-minne. Under arbetets gång konstaterade också projektet att Amazon byggt sin IoTsatsning på FreeRTOS. De hade dock satsat på en mer kraftfull MCU. Satsningen ville därmed framhålla det som en mer framtidssäker inriktning.
Internet of Things (IoT) is becoming more common in today's society. More and more everyday devices are connected to the wireless network. This requires costeffective computing power, which means that it can be beneficial to investigate the microcontroller and how they would cope with this task. These can be seen as smaller compact computers which despite their size offer a lot of performance. This study aims to inform if any existing operating system can work together with the microcontroller PIC18F452 and how many processes that can run in parallel given the MCU's limited memory. A survey and an experiment were conducted to answer these questions. Different choice of methods was investigated and discussed to determine which method would generate the best results. A survey and an experiment were conducted to answer these questions. The experiments required a special development environment to be installed and the generic FreeRTOS distribution was ported to both the correct processor and the experimental card. The porting succeeded and experiments showed that the research question could be answered with a yes. You can run a real-time operating system on an MCU with only 1,5 kB RAM memory. During the work, the project also found that Amazon built its IoT on FreeRTOS. However, they had invested in a more powerful MCU. The effort would thus emphasize it as a more future-proof approach.
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Spalluto, Angelo. "Energy Aware RTOS for EFM32." Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for datateknikk og informasjonsvitenskap, 2011. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-13918.

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Power consumption is a major concern for portable or battery-operated devices.Recently, new low power consumption techniques have been used to achieveacceptable autonomy battery-powered systems. FreeRTOS is a real-time kernel designedespecially for embedded low-power MCUs. Energy Micro develops and sellsenergy friendly microcontrollers based on the industry leading ARM Cortex-M332-bit architecture. The aim of this thesis is to propose a new FreeRTOS TicklessFramework solution that exploits the power modes provided by EFM32. Three differentsolutions have been proposed, such as FreeRTOS RTC, FreeRTOS Ticklesswith prescaling and FreeRTOS Tickless without prescaling. The simulations showedthat the Tickless Framework saves energy from 15x to 44x more than Original versionof FreeRTOS. Using a self-made benchmark the battery (1500 mAh) lifetimehas been increased from 11 days to 487 days.
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Arm, Jakub. "Detekce anomálií běhu RTOS aplikace." Doctoral thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2020. http://www.nusl.cz/ntk/nusl-432522.

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Due to higher requirements of computational power and safety, or functional safety ofequipments intended for the use in the industrial domain, embedded systems containing areal-time operating system are still the active area of research. This thesis addresses thehardware-assisted control module that is based on the runtime model-based verificationof a target application. This subsystem is intended to increase the diagnostic coverage,particularly, the detection of the execution errors. After the specification of the architecture,the formal model is defined and implemented into hardware using FPGA technology.This thesis also discuss some other aspects and embodies new approaches in the area ofembedded flow control, e.g. the integration of the design patterns. Using the simulation,the created module was tested using the created scenarios, which follow the real programexecution record. The results suggest that the error detection time is lower than usingstandard techniques, such a watchdog.
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Borgström, Fredrik. "Acceleration of FreeRTOS withSierra RTOS accelerator : Implementation of a FreeRTOS software layer onSierra RTOS accelerator." Thesis, KTH, Data- och elektroteknik, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-188518.

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Today, the effect of the most common ways to improve the performance of embedded systems and real-time operating systems is stagnating. Therefore it is interesting to examine new ways to push the performance boundaries of embedded systems and real-time operating systems even further. It has previously been demonstrated that the hardware-based real-time operating system, Sierra, has better performance than the software-based real-time operating system, FreeRTOS. These real-time operating systems have also been shown to be similar in many aspects, which mean that it is possible for Sierra to accelerate FreeRTOS. In this thesis an implementation of such acceleration has been carried out. Because existing real-time operating systems are constantly in development combined with that it was several years since an earlier comparison between the two real-time operating systems was per-formed, FreeRTOS and Sierra were compared in terms of functionality and architecture also in this thesis. This comparison showed that FreeRTOS and Sierra share the most fundamental functions of a real-time operating system, and thus can be accelerated by Sierra, but that FreeRTOS also has a number of exclusive functions to facilitate the use of that real-time operating system. The infor-mation obtained by this comparison was the very essence of how the acceleration would be imple-mented. After a number of performance tests it could be concluded that all of the implemented functions, with the exception of a few, had shorter execution time than the corresponding functions in the original version of FreeRTOS.
Idag är effekten av de vanligaste åtgärderna för att förbättra prestandan av inbyggda system och realtidsoperativsystem väldigt liten. På grund av detta är det intressant att undersöka nya åtgärder för att tänja prestandagränserna av inbyggda system och realtidsoperativsystem ytterliggare. Det har tidigare påvisats att det hårdvarubaseraderealtidsoperativsystemet, Sierra, har bättre prestanda än det mjukvarubaseraderealtidsoperativsystemet, FreeRTOS. Dessa realtidsoperativsystem har även visats vara lika i flera aspekter, vilket betyder att det är möjligt för Sierra att accelererera FreeRTOS. I detta examensarbete har en implementering av en sådan acceleration genomförts. Eftersom befintliga realtidsoperativsystem ständigtär i utveckling i kombination med att det är flera år sedan som en tidigare jämförelse mellan de båda systemen utfördes, så jämfördes FreeRTOS och Sierra i fråga om funktionalitet och uppbyggnad även i detta examensarbete.Denna jämförelse visade att FreeRTOS och Sierra delar de mest grundläggande funktionerna av ett realtidsoperativsystem, och som därmed kan accelereras av Sierra, men att FreeRTOS även har ett antal exklusiva funktioner för att underlätta användningen av det realtidsoperativsystemet. Informationen som erhölls av denna jämförelse var sedan grunden för hur själva accelerationen skulle implementeras. Efter ett antal prestandatesterkunde det konstateras att alla implementerade funktioner, med undantag för ett fåtal, hade kortare exekveringstid än motsvarande funktioner i ursprungsversionen av FreeRTOS.
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Soltani, Mahnaz. "Utveckling av realtidsoperativsystem(RTOS) till Atmega16." Thesis, Linnéuniversitetet, Institutionen för datavetenskap, fysik och matematik, DFM, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-23620.

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Prasad, Raghav. "Task Schedule Generator for an RTOS." University of Cincinnati / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1446547203.

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Rydberg, Lova. "RTDS modelling of battery energy storage system." Thesis, Uppsala universitet, Elektricitetslära, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-155960.

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This thesis describes the development of a simplified model of a battery energy storage. The battery energy storage is part of the ABB energy storage system DynaPeaQ®. The model has been built to be run in RTDS, a real time digital simulator. Batteries can be represented by equivalent electric circuits, built up of e.g voltage sources and resistances. The magnitude of the components in an equivalent circuit varies with a number of parameters, e.g. state of charge of the battery and current flow through the battery. In order to get a model of how the resistive behaviour of the batteries is influenced by various parameters, a number of simulations have been run on a Matlab/Simulink model provided by the battery manufacturer. This model is implemented as a black box with certain inputs and outputs, and simulates the battery behaviour. From the simulation results a set of equations have been derived, which approximately give the battery resistance under different operational conditions. The equations have been integrated in the RTDS model, together with a number of controls to calculate e.g. state of charge of the batteries and battery temperature. Results from the RTDS model have been compared with results from the Simulink model. The results coincide reasonably well for the conditions tested. However, further testing is needed to ensure that the RTDS model produces results similar enough to the ones from the Simulink model, over the entire operational range.
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Books on the topic "RTHS"

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L, Vorobʹev I︠U︡. MChS glazami sotrudnikov: Dal'nevostochnyi RTs, Sibirskii RTs, Privolzhsko-ural'skii RTs, Iuzhnyi RTs, Tsentral'nyi RTs, Severo-zapadnyi RTs, otriad "TsENTROSPAS". Moskva: Pantori, 2005.

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Abo, Masahiro, and Wataru Kakuda. Rehabilitation with rTMS. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-20982-1.

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RTLS for dummies. Hoboken, N.J: For Dummies, 2009.

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Smith, C. W. RTS-1, RTS-2, RTS-3 and RTS-4: Sulphide ore mill tailings reference materials. Ottawa, Ont: Minister of Supply and Services Canada, 1990.

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Smith, Clinton William. RTS-1, RTS-2, RTS-3, and RTS-4: Sulphide ore mill tailings reference materials. [Ottawa]: Minerals Research Program, 1990.

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Fitzgerald, Paul B., and Z. Jeff Daskalakis. rTMS Treatment for Depression. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-91519-3.

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Platz, Thomas, ed. Therapeutic rTMS in Neurology. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-25721-1.

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Lectures on FTAs and RTAs. Kyŏnggi-do P'aju-si: Han'guk Haksul Chŏngbo, 2009.

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2G bomb: RTIs shook North Block. New Delhi: Manas Publications, 2012.

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Sekretet e gazetarëve të RTSH-së. Tiranë: Botimet "Almera", 2010.

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Book chapters on the topic "RTHS"

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Erb, Richard, Matthew Stehman, and Narutoshi Nakata. "Mixed Force and Displacement Control for Base-Isolation Bearings in RTHS." In Rotating Machinery, Hybrid Test Methods, Vibro-Acoustics & Laser Vibrometry, Volume 8, 323–32. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-30084-9_30.

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Insam, Christina, Mert Göldeli, Tobias Klotz, and Daniel J. Rixen. "Comparison of Feedforward Control Schemes for Real-Time Hybrid Substructuring (RTHS)." In Conference Proceedings of the Society for Experimental Mechanics Series, 1–14. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-47630-4_1.

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Arun Sampaul Thomas, G., and Y. Harold Robinson. "Real-Time Health System (RTHS) Centered Internet of Things (IoT) in Healthcare Industry: Benefits, Use Cases and Advancements in 2020." In Studies in Big Data, 83–93. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-7965-3_6.

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Dumitrescu, Alexandra M., and Ronald N. Cohen. "Resistance to Thyroid Hormone (RTH) and Resistance to TSH (RTSH)." In Pediatric Endocrinology, 419–37. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-73782-9_20.

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Fischer, R. X., and W. H. Baur. "RTH." In Zeolite-Type Crystal Structures and their Chemistry. Framework Type Codes RON to STI, 66–73. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-70884-1_6.

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Bien, Christian G., Christian E. Elger, Ali R. Afzal, Sirajedin Natah, Ritva Häyrinen-Immonen, Yrjö Konttinen, George S. Zubenko, et al. "RTH." In Encyclopedia of Molecular Mechanisms of Disease, 1874. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-29676-8_6730.

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Abo, Masahiro, and Wataru Kakuda. "rTMS and Its Potential Use in Stroke Rehabilitation." In Rehabilitation with rTMS, 1–8. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-20982-1_1.

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Abo, Masahiro, and Wataru Kakuda. "rTMS for Upper Limb Hemiparesis after Stroke." In Rehabilitation with rTMS, 9–71. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-20982-1_2.

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Abo, Masahiro, and Wataru Kakuda. "rTMS for Poststroke Aphasia." In Rehabilitation with rTMS, 73–88. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-20982-1_3.

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Abo, Masahiro, and Wataru Kakuda. "rTMS for Poststroke Dysphagia." In Rehabilitation with rTMS, 89–108. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-20982-1_4.

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Conference papers on the topic "RTHS"

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Botelho, Rui M., Joseph A. Franco, and Richard E. Christenson. "System-Level Vibration Testing of Physical Hardware Components Using Real-Time Hybrid Substructuring." In ASME 2015 Noise Control and Acoustics Division Conference at InterNoise 2015. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/ncad2015-5922.

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Real-time hybrid substructuring (RTHS) is a relatively new method of vibration testing for characterizing the system-level performance of physical hardware components. With RTHS, a dynamic system is partitioned into physical and numerical substructures and interfaced together in real-time similar to hardware-in-the-loop testing. This paper presents an overview of RTHS including the challenges posed by its real-time constraints and the application to system-level testing of physical vibration control devices and mechanical equipment. Two laboratory RTHS experiments performed at the University of Connecticut Structures Research Laboratory are used to demonstrate the benefit of RTHS. The first test examines the connected control method using viscous damper hardware as the physical substructure coupled to adjacent base isolation systems as the numerical substructure. The second test involves a multi-stage isolation system comprised of an operating mechanical component on isolators as the physical substructure coupled to an intermediate mass on similar isolators as the numerical substructure. In these RTHS tests, feedforward inverse compensation combined with feedback is used to compensate the frequency-dependent dynamics of the multi-actuator system. Experimental results demonstrate that RTHS accurately captures the system-level behavior of the coupled system and allows for repeatable tests of various conditions and potential system improvements to be efficiently examined.
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Middleton, Jaime, Rodrigo Toro Icarte, and Jorge Baier. "Real-Time Heuristic Search with LTLf Goals." In Thirty-First International Joint Conference on Artificial Intelligence {IJCAI-22}. California: International Joint Conferences on Artificial Intelligence Organization, 2022. http://dx.doi.org/10.24963/ijcai.2022/663.

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In Real-Time Heuristic Search (RTHS) we are given a search graph G, a heuristic, and the objective is to find a path from a given start node to a given goal node in G. As such, one does not impose any trajectory constraints on the path, besides reaching the goal. In this paper we consider a version of RTHS in which temporally extended goals can be defined on the form of the path. Such goals are specified in Linear Temporal Logic over Finite Traces (LTLf), an expressive language that has been considered in many other frameworks, such as Automated Planning, Synthesis, and Reinforcement Learning, but has not yet been studied in the context of RTHS. We propose a general automata-theoretic approach for RTHS, whereby LTLf goals are supported as the result of searching over the cross product of the search graph and the automaton for the LTLf goal; specifically, we describe LTL-LRTA*, a version of LSS-LRTA*. Second, we propose an approach to produce heuristics for LTLf goals, based on existing goal-dependent heuristics. Finally, we propose a greedy strategy for RTHS with LTLf goals, which focuses search to make progress over the structure of the automaton; this yields LTL-LRTA*+A. In our experimental evaluation over standard benchmarks we show LTL-LRTA*+A may outperform LTL-LRTA* substantially for a variety of LTLf goals.
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Bissig, Pascal, Jan Deriu, Klaus-Tycho Foerster, and Roger Wattenhofer. "RTDS." In MUM '16: 15th International Conference on Mobile and Ubiquitous Multimedia. New York, NY, USA: ACM, 2016. http://dx.doi.org/10.1145/3012709.3012726.

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Jin, W., T. Atkinson, G. Neupane, T. McLing, C. Doughty, N. Spycher, P. Dobson, and R. Smith. "Influence of Mechanical Deformation and Mineral Dissolution/precipitation on Reservoir Thermal Energy Storage." In 56th U.S. Rock Mechanics/Geomechanics Symposium. ARMA, 2022. http://dx.doi.org/10.56952/arma-2022-2068.

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ABSTRACT: Reservoir thermal energy storage (RTES) is a promising technology to balance the mismatch between energy supply and demand. In particular, high temperature (HT) RTES can stabilize the grid with increasing penetration of renewable energy generation. This paper presents the investigation of the mechanical deformation and chemical reaction influences on the performance of HT-ATES for the Lower Tuscaloosa site. Thermo-hydraulic (TH), thermo-hydro-mechanical (THM), and thermo-hydro-chemical (THC) coupled simulations were performed with different operational modes and injection rates for a fixed five-spot well configuration and a seasonal cycle. The results show that (1) geomechanical-induced porosity change is mainly contributed by effective stress change, and the porosity change is distributed through the whole system; (2) geochemistry-induced porosity change is located near the hot well, and its change is one order of magnitude higher than the geomechanical effect; (3) both the operation mode and the injection rate have a huge influence on the RTES performance and lower injection rate with push-pull operation mode has the best performance with recovery factor around 70% for this RTES system. These results shed light on the deployment of HT-RTES in the US and around the world. 1 INTRODUCTION The concept of reservoir thermal energy storage (RTES), also known as geological thermal energy storage (GeoTES) or aquifer thermal energy storage (ATES), to mitigate the mismatch between energy supply and demand has been applied around the world since the 1960s with mixed success. Given its nearly unlimited storage capacity and easy accessibility, RTES has the potential to become an indispensable component to achieve the goal of carbon-neutral energy. Most successful deployments of RTES are operated at low temperatures (LT) (< 25°C), mainly to heat buildings by storing excess thermal energy during the low-use periods (summer) and recovering it during peak energy demand periods (winter). As reviewed by Fleuchaus et al. (2018), there are currently more than 2800 RTES systems worldwide, and 99% are LT-RTES. However, only high-temperature (HT) RTES has the capacity to serve as an earth battery for stabilizing the grid as indicated in McLing et al. (2019). The research and development of HT-RTES have mainly focused on site suitability studies and performance optimization by only considering fluid flow and heat transfer. For example, Schout et al. (2014) extended the widely adopted Rayleigh number - recovery factor relationship for identifying site suitability of LT-RTES systems (Gutierrez-Neri et al., 2011) to HT-RTES systems. Sheldon et al. (2021) further improved the Rayleigh number relationship to consider daily cycles for HT-RTES systems. In addition to recovery factor, the performance metrics of HT-RTES include storage capacity, operational duration, etc. Jin et al. (2021, 2022) performed stochastic thermo-hydraulic simulations and used a machine learning algorithm to directly correlate formation parameters and operational conditions with multiple HT-RTES performance metrics using the simulated big data. All these investigations can facilitate the deployment of HT-RTES. However, geomechanical response and geochemical reactions involved during the operation of a HT-RTES system can potentially induce risks as identified by Fleuchaus et al. (2020), and their effects on HT-RTES performance have not been systematically reported.
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"RTSS 2010 Organizers." In 2010 IEEE 31st Real-Time Systems Symposium (RTSS). IEEE, 2010. http://dx.doi.org/10.1109/rtss.2010.5.

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"RTAS 2020 Opinion." In 2020 IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS). IEEE, 2020. http://dx.doi.org/10.1109/rtas48715.2020.00-23.

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"RTAS 2020 Committees." In 2020 IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS). IEEE, 2020. http://dx.doi.org/10.1109/rtas48715.2020.00-21.

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"RTAS 2020 Committees." In 2020 IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS). IEEE, 2020. http://dx.doi.org/10.1109/rtas48715.2020.00-22.

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"RTAS 2020 Index." In 2020 IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS). IEEE, 2020. http://dx.doi.org/10.1109/rtas48715.2020.00037.

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"RTAS 2020 Commentary." In 2020 IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS). IEEE, 2020. http://dx.doi.org/10.1109/rtas48715.2020.00001.

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Reports on the topic "RTHS"

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Heikkinen, D. W. RTNS-II operations guidebook. Office of Scientific and Technical Information (OSTI), April 1985. http://dx.doi.org/10.2172/5826720.

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Zhang, Weidong, and Dwight Woolard. Magneto-Transpots in Interband Resonant Tunneling Diodes (I-RTDs) and Dilute Magnetic Semiconductor (DMS) I-RTDs. Fort Belvoir, VA: Defense Technical Information Center, March 2011. http://dx.doi.org/10.21236/ada577381.

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Yamamoto Junji, D. J. Massoletti, D. W. Heikkinen, and Kenji Sumita. Operation in pulsed mode at RTNS-II. Office of Scientific and Technical Information (OSTI), September 1987. http://dx.doi.org/10.2172/6380914.

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Schock, Alfred. RTGs Options for Pluto Fast Flyby Mission. Office of Scientific and Technical Information (OSTI), October 1993. http://dx.doi.org/10.2172/1033374.

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Schock, Alfred, M. Shirbacheh, and V. Sankarankandath. Requirements and Designs for Mars Rover RTGs. Office of Scientific and Technical Information (OSTI), January 2012. http://dx.doi.org/10.2172/1033420.

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Lasater, M. S., C. T. Kelley, A. G. Salinger, D. L. Woolard, and P. Zhao. Solution of the Wigner-Poisson Equations for RTDs. Fort Belvoir, VA: Defense Technical Information Center, January 2004. http://dx.doi.org/10.21236/ada446723.

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Schock, Alfred, Heros Noravian, and Chuen T. Or. Coupled Thermal and Electrical Analysis of Obstructed RTGs. Office of Scientific and Technical Information (OSTI), January 1990. http://dx.doi.org/10.2172/1033395.

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Schock, Alfred, Chuen T. Or, and Emanuel A. Skrabek. Thermal and Electrical Analysis of Mars Rover RTGs. Office of Scientific and Technical Information (OSTI), January 2012. http://dx.doi.org/10.2172/1033421.

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Hsiao, Ming-Yen, Yoo Jin Choo, I.-Chun Liu, Boudier-Revéret Mathieu, and Min Cheol Chang. Effect of Repetitive Transcranial Magnetic Stimulation on Post-stroke Dysphagia: Meta-analysis of Stimulation Frequency, Stimulation Site, and Timing of Outcome Measurement. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, April 2022. http://dx.doi.org/10.37766/inplasy2022.4.0005.

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Review question / Objective: Dysphagia is one of the most frequent sequelae after stroke. It can result in various complications, such as malnutrition, dehydration, aspiration pneumonia, and poor rehabilitation outcomes. Repetitive transcranial magnetic stimulation (rTMS) is reported to improve dysphagia after stroke; however, the details remain unclear. We evaluated the following rTMS parameters on post-stroke dysphagia: stimulation frequency (high frequency [≥3 Hz] or low frequency [1 Hz]), stimulation site (ipsilesional mylohyoid cortex or contralesional mylohyoid cortex), and outcome measurement timing (immediately, 3 weeks, and 4 weeks after the rTMS session).
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Hendrickson, Benjamin. DC-RTS Noise: Observation and Analysis. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.7241.

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