Foams improve mobility control in injection operations within geological ***,such as iron-oxide,have been shown to enhance the stability of foams when combined with *** this research,we leverage the magnetic propertie...
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Foams improve mobility control in injection operations within geological ***,such as iron-oxide,have been shown to enhance the stability of foams when combined with *** this research,we leverage the magnetic properties of these nanoparticles to detect their presence as a surrogate for monitoring the geologic extent of injected fluids in the *** feasibility of using these nanoparticles for monitoring purposes stems from their detectability at low concentrations in subsurface *** developed two distinct methods to detect the presence of magnetite nanoparticles in complex *** simulate complex subsurface fluids in a laboratory setting,we included various ions and surfactants and investigated their effects on the detection of *** this end,we designed an experimental setup and tested two magnetic detection methods:Induction Heating(IH)and Oscillator Frequency Shift(OFS).The IH method involves applying a high-frequency alternating magnetic field to a solution containing small amounts of magnetic nanoparticles and measuring the temperature *** built an experimental setup to generate this magnetic field for different samples,with temperature changes recorded by an infrared *** results indicate that nanoparticle concentrations linearly affect the solution's temperature ***,the presence of ions and surfactants also influences the temperature *** OFS method measures shifts in the resonance frequency of a circuit caused by changes in magnetic permeability inside a *** coil is part of a transistor oscillator circuit that produces a sinusoidal voltage waveform,with the oscillation frequency depending on the coil’s *** presence of nanoparticles causes a shift in resonance frequency,which were precisely measured for various *** drop in resonance frequency is a linear function of nanoparticle concentration,and both methods detect concentrations as low as 15
The analysis of Integrated Circuit (IC) Scanning Electron Microscopy (SEM) images plays a crucial role in the reliability and authenticity investigation of modern ICs. It pertains to the task of predicting masks, whic...
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Amidst growing global concerns over climate change and escalating greenhouse gas emissions from fossil fuels, the pursuit of renewable energy sources has become critical. This study focuses on harnessing hydropower us...
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Diffusion models are a remarkably effective way of learning and sampling from a distribution p(x). In posterior sampling, one is also given a measurement model p(y | x) and a measurement y, and would like to sample fr...
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Diffusion models are a remarkably effective way of learning and sampling from a distribution p(x). In posterior sampling, one is also given a measurement model p(y | x) and a measurement y, and would like to sample from p(x | y). Posterior sampling is useful for tasks such as inpainting, super-resolution, and MRI reconstruction, so a number of recent works have given algorithms to heuristically approximate it;but none are known to converge to the correct distribution in polynomial time. In this paper we show that posterior sampling is computationally intractable: under the most basic assumption in cryptography-that one-way functions exist-there are instances for which every algorithm takes superpolynomial time, even though unconditional sampling is provably fast. We also show that the exponential-time rejection sampling algorithm is essentially optimal under the stronger plausible assumption that there are one-way functions that take exponential time to invert. Copyright 2024 by the author(s)
This paper develops an implementation of a measurement and control system in which a vehicle follows its predecessor while maintaining a certain distance. First, we construct a model that virtually delays the referenc...
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Road safety is a critical concern worldwide, with millions of lives lost and countless injuries sustained in traffic accidents annually. To address this pressing issue, a costeffective and reliable solution is propose...
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Parkinson's disease (PD) is a neurodegenerative disorder which impacts the central nervous system and characterized by neuronal loss, particularly in the substantia nigra area of the brain. PD rendered dopamine-pr...
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The purpose of this article is to propose Stability-based Energy-Efficient Link-State Hybrid Routing(S-ELHR),a low latency routing proto-col that aims to provide a stable mechanism for routing in unmanned aerial vehic...
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The purpose of this article is to propose Stability-based Energy-Efficient Link-State Hybrid Routing(S-ELHR),a low latency routing proto-col that aims to provide a stable mechanism for routing in unmanned aerial vehicles(UAV).The S-ELHR protocol selects a number of network nodes to create a Connected Dominating Set(CDS)using a parameter known as the Stability Metric(SM).The SM considers the node’s energy usage,connectivity time,and node’s *** the highest SM nodes are chosen to form *** node declares a Willingness to indicate that it is prepared to serve as a relay for its neighbors,by employing its own energy state.S-ELHR is a hybrid protocol that stores only partial topological information and routing tables on CDS *** of relying on the routing information at each intermediary node,it uses source routing,in which a route is generated on-demand,and data packets contain the addresses of the nodes the packet will transit.A route recovery technique is additionally utilized,which first locates a new route to the destination before forwarding packets along *** simulation for various network sizes and mobility speeds,the efficiency of S-ELHR is *** findings demonstrate that S-ELHR performs better than Optimized Link State Routing(OLSR)and Energy Enhanced OLSR(EE-OLSR)in terms of packet delivery ratio,end-to-end delay,and energy consumption.
Training a high-performance deep neural network requires large amounts of data and computational resources. Protecting the intellectual property (IP) and commercial ownership of a deep model is challenging yet increas...
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The pulp and paper industry faces significant en-vironmental challenges, such as air pollution, greenhouse gas emissions, and wastewater discharge, requiring smarter and more sustainable operations. Regulatory bodies ...
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