QRS is the dominant complex in the Electrocardiogram (ECG). Its accurate detection is of fundamental importance to reliable ECG interpretation and hence, to all systems analyzing the ECG signal (e.g. Heart-monitoring)...
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QRS is the dominant complex in the Electrocardiogram (ECG). Its accurate detection is of fundamental importance to reliable ECG interpretation and hence, to all systems analyzing the ECG signal (e.g. Heart-monitoring). Syntactic methods are a very powerful tool for QRS detection, since they can easily describe complex patterns, but their high computational cost prevents their implementation for real time applications. In this paper, we present a VLSI architecture for ECG signal processing, automatically derived using a nested loop parallelization method. This architecture detects the QRS complex by parsing the corresponding to the ECG signal input string, based on an attribute grammar describing it.
We report a compact modeling framework based on the Grove-Frohman (GF) model and artificial neural networks (ANNs) for emerging gate-all-around (GAA) MOSFETs. The framework consists of two ANNs;the first ANN construct...
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Multi-cluster tools are widely used in majority of wafer fabrication processes in semiconductor industry. Smaller lot production, thinner circuit width in wafers, larger wafer size, and maintenance have resulted in a ...
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Multi-cluster tools are widely used in majority of wafer fabrication processes in semiconductor industry. Smaller lot production, thinner circuit width in wafers, larger wafer size, and maintenance have resulted in a large quantity of their start-up and close-down transient periods. Yet, most of existing efforts have been concentrated on scheduling their steady *** from such efforts, this work schedules their transient and steady-state periods subject to wafer residency constraints. It gives the schedulability conditions for the steady-state scheduling of dual-blade robotic multi-cluster tools and a corresponding algorithm for finding an optimal schedule. Based on the robot synchronization conditions, a linear program is proposed to figure out an optimal schedule for a start-up period, which ensures a tool to enter the desired optimal steady state. Another linear program is proposed to find an optimal schedule for a closedown period that evolves from the steady state period. Finally,industrial cases are presented to illustrate how the provided method outperforms the existing approach in terms of system throughput improvement.
The large-signal microwave characteristics of AlGaAs/GaAs heterojunction bipolar transistors (HBT's) are modeled using the conventional Gummel-Poon-based bipolar junction transistor (BJT) model and extending it to...
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The large-signal microwave characteristics of AlGaAs/GaAs heterojunction bipolar transistors (HBT's) are modeled using the conventional Gummel-Poon-based bipolar junction transistor (BJT) model and extending it to include self-heating effects, The model is incorporated as a user-defined model in a commercial circuit simulator, The experimental microwave characteristics of HBT's are analyzed using the new model and harmonic balance techniques and the impact of self-heating effects on the device large-signal characteristics is investigated, Use of constant base voltage rather than constant current is more suitable for achieving maximum output power. Self-heating induced by RF drive is reduced under constant base current conditions. Increased thermal capacitance values result in gain enhancement at high power levels.
This paper describes an evolving Arithmetic Design System (ADS) to support the quantitative evaluation of alternate number systems with respect to a given application and realization technology. A finite number system...
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This paper proposes a stochastic optimization model for generating the optimal price-maker trading strategy for a wind power producer using virtual bidding,which is a kind of financial tool available in most electrici...
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This paper proposes a stochastic optimization model for generating the optimal price-maker trading strategy for a wind power producer using virtual bidding,which is a kind of financial tool available in most electricity markets of the United *** the proposed model,virtual bidding is used to improve the wind power producer’s market power in the dayahead(DA)market by trading at multiple buses,which are not limited to the locations of the wind *** optimal joint wind power and virtual trading strategy is generated by solving a bi-level nonlinear stochastic optimization *** upperlevel problem maximizes the total expected profit of the wind power and virtual bidding while using the conditional value at risk(CVa R)for risk *** lower-level problem represents the clearing process of the DA *** using the Karush-Kuhn-Tucker(KKT)conditions,duality theory,and big-M method,the bi-level nonlinear stochastic model is firstly transferred into an equivalent single-level stochastic mathematical program with the equilibrium constraints(MPEC)model and then a mixed-integer linear programming(MILP)model,which can be solved by existing commercial *** reduce the computational cost of solving the proposed stochastic optimization model for large systems,a method of reducing the number of buses considered for virtual bidding is proposed to simplify the stochastic MPEC model by reducing its decision variables and constraints related to virtual *** studies are performed to show the effectiveness of the proposed model and the method of reducing the number of buses considered for virtual *** impacts of the transmission limits,wind unit location,risk aversion parameters,wind power volatility,and wind and virtual capacities on the price-maker trading strategy are also studied through case studies.
This paper presents a comprehensive study on the reconfiguration of power distribution networks (PDN) within interconnected microgrids (MGs), utilizing the Artificial Hummingbird Algorithm (AHA), Particle Swarm Optimi...
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This paper presents a comprehensive study on the reconfiguration of power distribution networks (PDN) within interconnected microgrids (MGs), utilizing the Artificial Hummingbird Algorithm (AHA), Particle Swarm Optimization (PSO), and the Slime Mould Algorithm (SMA) for optimization. The objective is to minimize power loss and improve voltage profiles across the interconnected systems while maintaining a radial topology within each microgrid and the overall interconnection. Building on previous work, which focused solely on horizontal interconnection in two 20-bus systems, this study expands the scope by incorporating vertical and diagonal interconnection scenarios for the 20-bus systems. Additionally, it explores these configurations within a 69-bus system model. Simulation results demonstrate that while all three algorithms improve power loss reduction and voltage stability, AHA consistently outperforms PSO and SMA. The findings contribute to a robust framework for PDN reconfiguration, addressing the complexities of various interconnection configurations and providing valuable insights into enhancing the performance and sustainability of interconnected MGs.
Theoretical discussion of computer storage of several lower order component distributions and use of this partial information to form approximation to actual higher order distribution;method is based on information me...
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Theoretical discussion of computer storage of several lower order component distributions and use of this partial information to form approximation to actual higher order distribution;method is based on information measure for "closeness" of two distributions and on criterion of maximum entropy.
A test chip to measure electrostatic discharge (ESD) events was designed and fabricated. The structure for the measurement of the pulses was based on a floating-gate field-effect transistor. Experiments showed that th...
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A test chip to measure electrostatic discharge (ESD) events was designed and fabricated. The structure for the measurement of the pulses was based on a floating-gate field-effect transistor. Experiments showed that the shift of the device characteristics following an ESD event can be used to measure ESD pulse magnitudes down to approximately 60 V.
This survey discusses current approaches to the robust control of the motion of rigid robots and summarizes the available literature on the subject. The five major designs discussed are the “Linear-Multivariable” ap...
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