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The National Tsunami Warning Center (NTWC) and the Pacific Tsunami Warning Center (PTWC) collaborate to provide tsunami warning service and mutual backup to tsunami-threatened areas throughout the United States and many other countries throughout the world. With mostly home-grown analysis systems, NTWC staff rapidly locates, sizes, and otherwise characterizes major earthquakes. We determine each earthquake's...
This paper presents the development of a real-time Supervision Hardware-in-the-Loop (HIL) emulator of shaded PV systems. This study is focused on shaded conditions due to the impact of shadows in the final energy production and the global structural healthy. In this context, we propose a methodology to emulate in real-time the shaded PV system behavior. This proposed methodology is intended for evaluation...
It is difficult for managers to do real-time traffic estimation under urban road network because of the incompletion of information collection and the complexity of road network. This paper will improve the precision of data expansion algorithm presented by Lederman R and Wynter L. (2011) using Kalman Filter during real-time estimation. Computation is composed of a heavyweight offline calibration...
The article presents an intelligent traffic light system that allows optimal flow in a car crossing composed of two one-way streets. To achieve this purpose, real-time image processing is used to obtain the counting and space occupied by the vehicles. The algorithms of Backgroud Subtraction and KNN (K-Nearest Neighbor) are used, to determine the congestion vehicular in a street; the libraries of OpenCV...
Earlier, Chao pioneered the very first closed-form solution (CFS) of the number of control related states (CRSs) for k-th order systems, which was the first step in facilitating an exponential computation time for enumerating reachable states of a particular large Petri net (PN), reducing this to within a second. This paper progresses a step further in enumerating the control related states for double-deficient...
Multi-rate (MR) simulation is necessary for a system which contains both large and small time constraints. In the traditional MR real-time simulation of MMC, only the MMC valves are implemented on FPGA with a small time-step, while the rest parts are implemented on central processing units (CPU) with a large time-step. This paper presents a fully FPGA based MR real-time simulation of two MMC terminals...
Model-based condition monitoring for lithium-ion (Li-ion) batteries involves estimating physical model parameters and operational states such state of charge (SOC) and state of health (SOH), and is crucial for building high-performance and safety-critical battery systems. This paper proposes a real-time model-based condition monitoring algorithm based on a second-order RC electrical circuit battery...
This paper presents the development of an interface for small Unmanned Aerial Systems to allow the deployment of ignition spheres at a prescribed fire, real-time fire modeling, and user updates to the automated fire model. Current systems are limited to fire monitoring or modeling, generally rely on a desktop computer, and do not allow updates to the model nor parameter adjustments in the field. The...
We introduce “Deformed Reality”, a new paradigm to interactively manipulate objects in a scene in a deformable manner. Using the core principle of augmented reality to estimate rigid pose over time, our method enables the user to deform the targeted object while it is being rendered with its natural texture, giving the sense of a real-time object editing in user environment. The presented results...
This paper proposes a real time scalar control of induction motor by using RT-LAB software. This method of control leads to be able to adjust the speed of the motor by control the frequency and stator voltage magnitude, the ratio of stator voltage magnitude to frequency should be kept constant, which is called as scalar control of induction motor. The real-time scalar control algorithm is designed...
In this paper we propose event goodput, i.e., the fraction of events which may be successfully managed by a system, as a relevant metric to describe the performance of battery powered real-time sensor networks. Unlike other performance metrics as response, completion, maximum lateness times, all representing fundamental, but different, figures of merit for the description of the behavior of real-time...
Image segmentation has always been an important research direction in the field of images processing, however, due to the long cycle of algorithm, the image segmentation techniques have never been widely applied. According to the problem above, a image segmentation algorithm of Gaussian Mixture Model (GMM) based on Map/Reduce is proposed to improve the real-time performance. Firstly, the architecture...
Today Google collects big data, and develops new business using both cloud computing such as search engine and artificial intelligence such as machine learning. The study of artificial intelligence mainly on deep learning is prosperous and is expected to make smart life now and in the future. The mainstream of the present artificial intelligence is machine learning, and the foundation is inductive...
Distribution grid simulation is important method to related department for the distribution grid planning, design, testing, operation and experiment. It is common method of the distribution grid protection, measurement and control equipment function test and distribution grid automation system function test. Distribution grid simulation can be divided into real-time simulation and non-real time simulation...
Modular multilevel converters (MMC) have been at the heart of numerous research projects and publications over the last decade. This topology is particularly challenging when it comes to real-time simulation; it has thousands of power-switching devices, control signals, and differential equations to solve. This has led to various models with different levels of detail. Although, all models are equally...
The paper presents recent technological advancements that have been made by Siemens PLM in its simulation tools for multi-body analyses and multi-physics simulation in order to run physics-based high fidelity models in real-time. The motivation is enable reuse of simulation models developed during the engineering phase during the validation phase with hardware or humans in the loop. To demonstrate...
This paper proposes an approach to modelling and analysis of distributed real-time actor systems, which is based on the Uppaal statistical model checker (SMC). SMC was chosen because it automatizes simulations, offers a temporal logic language to formalize specifications and exploits statistical techniques to infer quantitative measures about a model. The approach is integrated in a system life-cycle...
Modern scientific experimental facilities such as x-ray light sources increasingly require on-demand access to large-scale computing for data analysis, for example to detect experimental errors or to select the next experiment. As the number of such facilities, the number of instruments at each facility, and the scale of computational demands all grow, the question arises as to how to meet these demands...
This paper presents simulation and real-time results of a fuzzy control scheme better known as parallel distributed compensation (PDC) for stabilization of an inverted pendulum on a cart. In contrast with traditional fuzzy schemes, the nonlinear model of the plant is fully taken into account for control design. The nonlinear model is recast as an exact convex sum of linear models via the sector nonlinearity...
Continuous EMG control of human-machine interfaces (HMIs) enables more direct and flexible control of output movements than discrete classification algorithms. However, EMG is a non-stationary signal and can add noise to continuous EMG control output. We studied the effect of an output speed threshold method to stabilize the movement prediction of a 2-DOF musculoskeletal model-based continuous EMG...
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