The possibility of employing a light source with a small wavelength bandwidth (35 nm) and a coarsely resolved spectrometer (~166 pm) for the interrogation of a Vernier effect-based high-sensitivity optical fiber senso...
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The ever-increasing focus on preventative healthcare and remote patient monitoring has driven the need for innovative solutions. Traditionally, measuring vital signs in both clinical and home settings has relied on a ...
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This paper presents a novel approach for the online calculation of Linear Quadratic Regulator (LQR) gains using the Tabular Dyna-Q algorithm. By leveraging Q-learning, this technique enables the determination of gains...
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The energy sector is changing as a result of digitalization and IoT advancements. The Internet of Energy (IoE) is developing to link many smart grid components and shareholders effectively. The use of smart meters is ...
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We demonstrate a general-purpose approach to evaluate interference immunity at the source (data payload origin) of a 'closed-box' wireless communication system over different time-scales. Specifically, using a...
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Deep learning continues to re-shape numerous fields, from natural language processing and imaging to data analytics and recommendation systems. This report studies two research papers that represent recent progress on...
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A high-resolution 64-channel arrayed-waveguide-grating-assisted silicon-nitride integrated optical phase array is demonstrated for 2-D beam steering. A field of view of 5◦ × 25◦ with 0.3◦ vertical resolution is a...
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Wireless Sensor Networks(WSN)has evolved into a key technology for ubiquitous living and the domain of interest has remained active in research owing to its extensive range of *** spite of this,it is challenging to de...
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Wireless Sensor Networks(WSN)has evolved into a key technology for ubiquitous living and the domain of interest has remained active in research owing to its extensive range of *** spite of this,it is challenging to design energy-efficient *** routing approaches are leveraged to reduce the utilization of energy and prolonging the lifespan of *** order to solve the restricted energy problem,it is essential to reduce the energy utilization of data,transmitted from the routing protocol and improve network *** this background,the current study proposes a novel Differential Evolution with Arithmetic Optimization Algorithm Enabled Multi-hop Routing Protocol(DEAOA-MHRP)for *** aim of the proposed DEAOA-MHRP model is select the optimal routes to reach the destination in *** accomplish this,DEAOA-MHRP model initially integrates the concepts of Different Evolution(DE)and Arithmetic Optimization Algorithms(AOA)to improve convergence rate and solution ***,the inclusion of DE in traditional AOA helps in overcoming local optima *** addition,the proposed DEAOA-MRP technique derives a fitness function comprising two input variables such as residual energy and *** order to ensure the energy efficient performance of DEAOA-MHRP model,a detailed comparative study was conducted and the results established its superior performance over recent approaches.
This paper investigates the stochastic scheduling of a Distributed Energy Resources Aggregator participating in wholesale day-ahead energy and flexibility markets. The proposed framework focuses on maximizing the aggr...
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ISBN:
(数字)9798350377941
ISBN:
(纸本)9798350377958
This paper investigates the stochastic scheduling of a Distributed Energy Resources Aggregator participating in wholesale day-ahead energy and flexibility markets. The proposed framework focuses on maximizing the aggregator’s profit while representing entities such as PV-based prosumers, electric vehicles, and large-scale battery within an unbalanced distribution network. It incorporates uncertainties related to PV generation, market prices, and flexibility deployment requests. In addition to profit maximization, the framework manages the distribution network’s voltage and line congestion while meeting the basic energy demand of the players. The aggregator leverages the flexibility of these players to participate in the flexibility electricity market, enabling it to adjust its total power production as requested by the flexibility market operator. The study evaluates two cases: Case 1, where the aggregator participates only in the energy market, and Case 2, where the aggregator joins both energy and flexibility markets. The results show that participating in both markets significantly increases profit, while maintaining compliance with the distribution network’s voltage and thermal limits and meeting participants’ demand requirements.
This paper demonstrates a method to extract impedance-attenuation corners of a stripline with user-prescribed confidence levels. This is done using a sparse-grid-based surrogate model to quickly generate vast Monte Ca...
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ISBN:
(数字)9781665450751
ISBN:
(纸本)9781665450751
This paper demonstrates a method to extract impedance-attenuation corners of a stripline with user-prescribed confidence levels. This is done using a sparse-grid-based surrogate model to quickly generate vast Monte Carlo datasets from which the impedance-attenuation distribution is calculated. Ellipses are fit to this distribution as equi-density contours to enclose a proportion of the solution data. Appropriate corners can be read off these ellipses and applied to broadband simulation. The results are compared against three measured test coupons, showing capability to analyze a PCIe Gen. 5 link. Realistic modeling of geometries and material variations is emphasized.
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