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A modeling method for RF power transistor fingers and large discrete die is presented in order to evaluate, visualize, and optimize various performance parameters at the device finger level. The model is constructed using a combination of TCAD based active die model and passive interconnect models based on Wheeler's transmission line formulation. Active die model of a fraction of the total periphery...
In off-grid renewable power systems, batteries are often used to balance the mismatch between load and electricity generation. The mismatch may be more severe in small-scale systems due to the lack of averaging effect seen in larger power systems. In the former, batteries have to cope with rapid power fluctuations whilst still delivering power to consumers. A vanadium redox flow battery (VRB) may...
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...
Recently, the self-blast principle of extinguishing the arc by the blast pressure which is generated by the arc itself has been widely applied to the high voltage circuit breaker. In the self-blast principle, the pressure relief valve fitted on the piston is opened to release excessive pressure in the compression volume during high current interruption. The design of the pressure relief valve operation...
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...
This paper proposes modelling ranked load curves using algebraic polynomials. Starting from the assumption of some characteristic parameters of load profiles: maximum power, minimum power and the energy consumption in a time period, characteristic coefficients of different types of algebraic polynomials such as: linear, parabolic and third-order are obtained. The modelling of real load profile has...
Modeling and simulation have shown essential for forecasting load and resource availability in large-scale complex scenarios. The growth of urban environments, as well as the use of ICT in enabling applications and services, has encouraged several works on the modeling of transportation. High mobility of vehicles in such a context consists of a significant challenge in modeling traffic. Several microscopic...
Mesoscopic Traffic Simulation is an important tool in traffic analysis and traffic management support. The balance between traffic modeling details and performance has made Mesoscopic Traffic Simulation one of the key solutions for traffic controllers and policy makers. Mesoscopic traffic simulators offer acceptable speed in simulating normal traffic. However, when traffic prediction and optimization...
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 presents a flexible harmonic domain (FHD) model of a three-phase photovoltaic (PV) system aimed at steady-state analysis. The proposed FHD model involves a PV array Thévenin equivalent, a DC-link capacitor, a boost converter, a three-phase inverter, an LC low-pass filter-bank, a PI-shaped distribution line, and a nonlinear load. The FHD PV model is able to include an arbitrary number of...
The application of the Soft Computing based methods, especially, the Tensor Product (TP) transformation has several beneficial properties from the biological modeling and control point of view, because complex, nonlinear processes can be handled by them effectively. Another advantage of these tools consist on the Linear Parameter Varying (LPV) and Linear Matrix Inequality (LMI) based techniques can...
Model slicers are tools which provide two services: (a) finding parts of interest in a model and (b) displaying these parts somehow or extract these parts as a new, autonomous model, which is referred to as slice or sub-model. This paper focuses on the creation of editable slices, which can be processed by model editors, analysis tools, model management tools etc. Slices are useful if, e.g., only...
Industrial use of Model Driven Engineering techniques has emphasized the need for efficiently store, access, and transform very large models. While scalable persistence frameworks, typically based on some kind of NoSQL database, have been proposed to solve the model storage issue, the same level of performance improvement has not been achieved for the model transformation problem. Existing model transformation...
This paper presents a methodology for simulating the Internet of Things (IoT) using multi-level simulation models. With respect to conventional simulators, this approach allows us to tune the level of detail of different parts of the model without compromising the scalability of the simulation. As a use case, we have developed a two-level simulator to study the deployment of smart services over rural...
This paper describes a dynamical nonlinear data center model. It is a principle-based continuous time model, aimed at testing and evaluating control and optimization algorithms. The model is based on a module in data center used by RISE, Research Institute of Sweden. The data center modelled is a small scale slab floor data center. It contains four computer-room-air-handling units, two rows of five...
This study presents the practical results concerning model-based development educational practices implemented by Hiroshima University and Mazda Motor Corporation, an automobile manufacturer, and the consequent educational effects. In recent years, diversification and complexity of product structures have become prominent. Simultaneously, there is an increasing demand for short-period development...
Recently a practical and efficient Real Time Load Estimator (RTLE) was developed. Using only off-line information the RTLE provides off-line estimation of distribution system (DS) transformer loads and a measure of uncertainty of the estimation. It also refines these estimates by processing real-time measurements via a computationally efficient load flow algorithm, which uses the data structure called...
An energy-efficient restricted Boltzmann machine (RBM) processor (RBM-P) supporting on-chip learning and inference is proposed for machine learning and Internet of Things (IoT) applications in this paper. To train a neural network (NN) model, the RBM structure is applied to supervised and unsupervised learning, and a multi-layer NN can be constructed and initialized by stacking multiple RBMs. Featuring...
Volume Diagnosis is a proven methodology to significantly improve the yield enhancement rates. One of the key factors of success to this methodology is being able to perform diagnosis on hundreds to thousands of failing dies using a limited amount of computational resource in a tractable time. This paper presents a new Multiple Device Diagnosis (MDD) system to significantly improve the throughput...
An electrochemical system is a subset of mechatronic systems which includes a wide range of batteries such as nickel-cadmium, lead-acid batteries, and lithium-ion. These systems have many nonlinear behaviors and uncertainties in their operating range. Computational intelligence approaches are more accurate and quick than conventional analytical methods for estimating and analyzing nonlinear systems...
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