this paper presents a non-volatile data-storing compact RFID sensor based on an additively manufactured resonator for customizable temperature threshold detection. the sensor geometry comprises of a meander-shaped mic...
详细信息
Nowadays, data parallelism has been widely applied to train large datasets on distributed deep learning clusters, but it has suffered from costly global parameter updates at batch barriers. Performance imbalance among...
详细信息
P2P Botnet is famous for the resilience against termination. However, its dependence on Neighbor List (NL) makes it susceptible to infiltration and poison, also leading to a dearth of adequate protection of Botmaster&...
详细信息
Electrostatic actuators have a significant role in Microelectromechanical systems (MEMS). Electrostatic comb drive actuator with trapezoidal-shaped geometry is reliable as compared to a rectangular shaped system becau...
详细信息
ISBN:
(纸本)9781665427357
Electrostatic actuators have a significant role in Microelectromechanical systems (MEMS). Electrostatic comb drive actuator with trapezoidal-shaped geometry is reliable as compared to a rectangular shaped system because of maximum displacement and large driving force. the limitation in the use of the trapezoidal-shaped electrostatic actuating system is a pull-in phenomenon because of the angular effect and large driving voltage. In this research work, a trapezoidal-shaped comb-drive actuator with curved flexures is designed and analyzed to minimize driving voltage through the low stiffness of curved beams. With a driving voltage of 36.6V, displacement of 25 mu m is achieved in this research work. A comparison of these results with published works is also presented and discussed.
the proceedings contain 124 papers. the topics discussed include: improve energy efficiency of hybrid electric tractor drivetrain using centralized control;enhancement of power transfer efficiency in wireless charging...
ISBN:
(纸本)9798350337808
the proceedings contain 124 papers. the topics discussed include: improve energy efficiency of hybrid electric tractor drivetrain using centralized control;enhancement of power transfer efficiency in wireless charging of electric vehicles by positioning system withsensor-based technology;LCC-LCC compensation based dual active bridge bidirectional WPT for electric vehicle application;improving battery performance using OptisLang based model calibration of Newman P2D model;performance study on 100kW proton exchange membrane fuel cell for commercial vehicle applications;a framework for low-cost autonomous mobility platform to retrofit electric vehicles;application of structural equation models to analyze barriers for sustainable adoption of hydrogen fuel cell electric vehicles in India;design for disassembly: a key to achieving a circular economy for EV battery systems;and protecting passengers and data: the importance of an consistent process from TARA to testing.
this paper develops a variant of a digital energy system based on the technology of distributed generation of Microgrid and describes the features of its functioning in the power system. Based on the conducted system ...
详细信息
In order to remove the large amount of redundant sensor timing data existing in industrial systems, improve the storage efficiency of storage media and the query efficiency of data, this paper proposes an AQ-SDT algor...
详细信息
the proceedings contain 42 papers. the special focus in this conference is on Dynamic Data Driven Applications systems. the topics include: Physics-Aware Machine Learning for Dynamic, Data-Driven Radar Target Recognit...
ISBN:
(纸本)9783031526695
the proceedings contain 42 papers. the special focus in this conference is on Dynamic Data Driven Applications systems. the topics include: Physics-Aware Machine Learning for Dynamic, Data-Driven Radar Target Recognition;DDDAS for Optimized Design and Management of 5G and Beyond 5G (6G) Networks;DDDAS-Based Learning for Edge computing at 5G and Beyond 5G;monitoring and Secure Communications for Small Modular Reactors;Data Augmentation of High-Rate Dynamic Testing via a Physics-Informed GAN Approach;unsupervised Wave Physics-Informed Representation Learning for Guided Wavefield Reconstruction;passive Radio Frequency-Based 3D Indoor Positioning System via Ensemble Learning;deep Learning Approach for Data and computing Efficient Situational Assessment and Awareness in Human Assistance and Disaster Response and Battlefield Damage Assessment Applications;SpecAL: Towards Active Learning for Semantic Segmentation of Hyperspectral Imagery;generalized Multifidelity Active Learning for Gaussian-process-based Reliability Analysis;Multimodal IR and RF Based sensor System for Real-Time Human Target Detection, Identification, and Geolocation;learning Interacting Dynamic systems with Neural Ordinary Differential Equations;Relational Active Feature Elicitation for DDDAS;explainable Human-in-the-Loop Dynamic Data-Driven Digital Twins;transmission Censoring and Information Fusion for Communication-Efficient distributed Nonlinear Filtering;distributed Estimation of the Pelagic Scattering Layer Using a Buoyancy Controlled Robotic System;towards a Data-Driven Bilinear Koopman Operator for Controlled Nonlinear systems and Sensitivity Analysis;tracking Dynamic Gaussian Density with a theoretically Optimal Sliding Window Approach;dynamic Data-Driven Digital Twins for Blockchain systems;Adversarial Forecasting through Adversarial Risk Analysis Within a DDDAS Framework;essential Properties of a Multimodal Hypersonic Object Detection and Tracking System;power Grid Resilience: Data Gaps for Da
Aiming at the problem of effective utilization of virtualized WSN resources, a reinforcement learning-based resource allocation strategy for virtualized WSNs is proposed from the perspective of service requests of vir...
详细信息
ISBN:
(纸本)9781665477260
Aiming at the problem of effective utilization of virtualized WSN resources, a reinforcement learning-based resource allocation strategy for virtualized WSNs is proposed from the perspective of service requests of virtualized WSNs. A virtual sensor network request deployment utility maximization model is established based on the quality requirements of service sensing information and resource capacity constraints. Considering the randomness of service requests and the dynamic changes in the network environment, the resource optimization problem is transformed into MDP and solved using Actor-Critic reinforcement learning methods, and the best resource allocation strategy is obtained. Finally, a large number of simulation experiments are carried out to verify the effectiveness of the proposed method.
Due to the widespread use in recent decades, wireless sensor networks (WSNs) have emerged as a top research area. However, the dynamic reconfiguration of WSNs offers a significant hurdle due to the fact that conventio...
详细信息
暂无评论