The power consumption of next-generation high-performance processors is expected to reach and eventually exceed 1000 W, with core logic voltages below 1 V and peak current demand beyond 1000 A. To deliver ultra-high c...
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ISBN:
(数字)9798350376067
ISBN:
(纸本)9798350376074
The power consumption of next-generation high-performance processors is expected to reach and eventually exceed 1000 W, with core logic voltages below 1 V and peak current demand beyond 1000 A. To deliver ultra-high currents at low voltages with minimal power distribution network losses, this paper presents a compact 48-V-to-sub-1-V switching bus converter (SBC), a single-stage hybrid switched-capacitor (SC) voltage regulator for processor vertical power delivery (VPD). The SBC comprises a 2-to-1 SC front-end and two 10-branch series-capacitor buck modules, which are merged through two switching buses. A hardware prototype was designed and built with two-phase coupled inductors for performance validation. The coupled inductors were customized for VPD, with their windings both functioning as part of the coupled inductors and serving as the connection between the SBC and the processor motherboard. The hardware prototype met a stringent maximum height limit of 5 mm and achieved a current density of 0.614 A/mm 2 at a full-load current of 600 A. Additionally, it demonstrated excellent performance compared to the state-of-the-art academic works for 48 V to point-of-load conversion.
Soft electronics,known for their bendable,stretchable,and flexible properties,are revolutionizing fields such as biomedical sensing,consumer electronics,and robotics.A primary challenge in this domain is achieving low...
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Soft electronics,known for their bendable,stretchable,and flexible properties,are revolutionizing fields such as biomedical sensing,consumer electronics,and robotics.A primary challenge in this domain is achieving low power consumption,often hampered by the limitations of the conventional von Neumann *** response,the development of soft artificial synapses(SASs)has gained substantial *** synapses seek to replicate the signal transmission properties of biological synapses,offering an innovative solution to this *** review explores the materials and device architectures integral to SAS fabrication,emphasizing flexibility and stability under mechanical *** architectures,including floating-gate dielectric,ferroelectric-gate dielectric,and electrolyte-gate dielectric,are analyzed for effective weight control in *** utilization of organic and low-dimensional materials is highlighted,showcasing their plasticity and energy-efficient ***,the paper investigates the integration of functionality into SASs,particularly focusing on devices that autonomously sense external *** SASs,capable of recognizing optical,mechanical,chemical,olfactory,and auditory cues,demonstrate promising applications in computing and sensing.A detailed examination of photo-functionalized,tactile-functionalized,and chemoreception-functionalized SASs reveals their potential in image recognition,tactile sensing,and chemosensory applications,*** study highlights that SASs and functionalized SAS devices hold transformative potential for bioelectronics and sensing for soft-robotics applications;however,further research is necessary to address scalability,longtime stability,and utilizing functionalized SASs for prosthetics and in vivo applications through clinical *** providing a comprehensive overview,this paper contributes to the understanding of SASs,bridging research gaps and paving the way tow
The future of deep space exploration requires high levels of reliability in critical subsystems such as the electrical power system. This paper provides an analysis of voltage stability of direct current (DC) microgri...
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Proper control and energy management is crucial for the effective, practical, and reliable operation of DC microgrids. In DC microgrids, the high certainties of renewables and the dynamic behavior of particular loads ...
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ISBN:
(数字)9798350372717
ISBN:
(纸本)9798350372724
Proper control and energy management is crucial for the effective, practical, and reliable operation of DC microgrids. In DC microgrids, the high certainties of renewables and the dynamic behavior of particular loads propose different modeling, operation, and control challenges. With recent advancements in information and communication technologies offering energy solution services relying on data analytics, machine learning (ML), and IoT technologies, the concept of digital twins (DT) has emerged as a feasible and active model to enhance the operation and resilience of microgrids. This paper proposes a long short-term memory (LSTM) neural networkbased strategy to construct a data-driven digital twin (DT) model of DC microgrids. The model is tested and validated with a standalone DC MG containing Renewable Energy Sources (RES), Energy Storage Sources (ESSs), and different load types. The accuracy of the created twin model is tested and evaluated under different scenarios of the microgrid operation, such as a sudden decrease in renewable generation and energizing pulsed load to the MG.
Shared information is a measure of mutual dependence among $m\geq 2$ jointly distributed discrete random variables. We show that the shared information of a Markov random field in which the underlying graph has at l...
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ISBN:
(数字)9798350382846
ISBN:
(纸本)9798350382853
Shared information is a measure of mutual dependence among
$m\geq 2$
jointly distributed discrete random variables. We show that the shared information of a Markov random field in which the underlying graph has at least one cut vertex, is the same as the minimum shared information of its blocks (also called biconnected components). This generalizes prior results on shared information of Markov random fields to a much wider class of nontree graphs.
Differential signals are key in control engineering as they anticipate future behavior of process variables and therefore are critical in formulating control laws such as proportional-integral-derivative(PID).The prac...
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Differential signals are key in control engineering as they anticipate future behavior of process variables and therefore are critical in formulating control laws such as proportional-integral-derivative(PID).The practical challenge,however,is to extract such signals from noisy measurements and this difficulty is addressed first by *** in the form of linear and nonlinear tracking differentiator(TD).While improvements were made,TD did not completely resolve the conflict between the noise sensitivity and the accuracy and timeliness of the *** two approaches proposed in this paper start with the basic linear TD,but apply iterative learning mechanism to the historical data in a moving window(MW),to form two new iterative learning tracking differentiators(IL-TD):one is a parallel IL-TD using an iterative ladder network structure which is implementable in analog circuits;the other a serial IL-TD which is implementable digitally on any computer *** algorithms are validated in simulations which show that the proposed two IL-TDs have better tracking differentiation and de-noise performance compared to the existing linear TD.
The resilience of AC microgrids (MGs) in the face of communication disturbances, including variable delays, packet loss, packet corruption (noise), and limited bandwidth, is studied. A Controller Hardware-in-the-Loop ...
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ISBN:
(数字)9798350372717
ISBN:
(纸本)9798350372724
The resilience of AC microgrids (MGs) in the face of communication disturbances, including variable delays, packet loss, packet corruption (noise), and limited bandwidth, is studied. A Controller Hardware-in-the-Loop (CHIL) platform is used to investigate the ramifications of these disturbances comprehensively. The MG cyber-physical system (CPS) integrates a real-time islanded AC microgrid deployed on RT-LAB, distributed secondary consensus controllers on single-board computers, and a real communication network infrastructure. Through meticulous analysis and experimentation, this research highlights the vulnerabilities of AC MGs to communication disturbances and their detrimental effects on the system resiliency, stability, and efficiency. The experiments emphasize the need for designing robust and adaptive control strategies that can effectively mitigate the effects of communication disruptions and enhance the overall reliability and performance of AC microgrid systems.
A polymorphic gate can change its functionality based on external conditions such as temperature, voltage, and external signals. Although this concept was proposed more than two decades ago and has found success in de...
A polymorphic gate can change its functionality based on external conditions such as temperature, voltage, and external signals. Although this concept was proposed more than two decades ago and has found success in designing circuits for area minimization and security applications, how to construct polymorphic gates remains a challenge because they do not have the structure of conventional CMOS gates. Without knowing the causes of polymorphism, the majority of reported polymorphic gates are generated in the ad-hoc fashion, using evolutionary algorithms and the time-consuming Spice simulation. In this paper, we study thousands of candidate circuits that we have created for the sources of polymorphism. We observe several features that are not present in traditional CMOS gates. Circuit analysis suggests that these features are potential sources of polymorphism, which is confirmed as they exist in the polymorphic gates reported in the literature. Furthermore, we demonstrate with examples that polymorphic gates can be effectively constructed using these features as guidance.
Epistemic decisions about which sources to trust and query are critical for a decision-maker, when the end-goal decisions are to be made using limited resources. Toward this, we previously proposed preliminary extensi...
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