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"An efficient video watermark method using blockchain" by Qingliang Liu, Shuguo Yang et al.

Nowadays, one of the most common approaches for video watermarking is to use singular value decomposition in the discrete wavelet transform domain. In our prior work, we formulated a video watermarking problem to achieve the maximum peak signal to noise ratio as an optimization problem. It chooses wavelet coefficient points in key frames with minimum distortion cost. Yet the existing solution has two drawbacks (1) it requires to store a large number of coordinates depending on the watermark size...
Video Watermark
Source: uow.edu.au

"Complete Targets Coverage in Energy Harvesting Internet of Things With" by Rui Yang, Changlin Yang et al.

This article considers deriving set covers or the set of active nodes that are responsible for monitoring all targets in an Internet of Things (IoT) network. A key distinction to prior works is that this article considers sensor nodes aided by backscatter communications, which allow them to communicate with negligible energy cost using ambient radio frequency (RF) signals. The article contains three main novelties. First, it presents a mixed integer linear program (MILP) that can be used to comp...
Duty Cyle Energy Management Scheduling Algorithms Wireless Sensor Networks
Source: uow.edu.au

"Particle Swarm Optimised Controller for Solid-State Transfer Switch To" by Glorria Sebastian, M. A. Hannan et al.

This study proposes a solid-state transfer switch (SSTS) using fuzzy logic controller (FLC) design approach for enhancing the productivity and effectiveness of FLCs under harmonics conditions of a non-linear load using particle swarm optimization (PSO). A PSO-based FLC (PSOF) fitness function is also used to optimise and reduce the MSE to enhance the load transfer performance in a short period of time. The PSOF approach eliminates the time-consuming conventional trial-and-error method of derivin...
Armonic Elimination Power Quality Power Transfer Olid State Transfer Switch
Source: uow.edu.au

"On Complete Targets Coverage in Rechargeable IoT Networks: A Message-P" by Zilin Song, Kwan Wu Chin et al.

This article studies targets coverage in an energy harvesting (EH) Internet of Things (IoT) network. Specifically, it addresses the problem of activating subsets of EH sensor nodes to monitor targets, such as valuable assets or the ingresses and egresses of a building. A key requirement, so called complete targets coverage, is that all targets must be monitored by at least one sensor node at all times. To meet this requirement, we need to derive set covers, where each set cover is comprised of o...
Causal Energy Arrivals Graphical Models
Source: uow.edu.au

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"Optimization of operating conditions in the biological enzymes for eff" by Xu Kang, Chaolin Li et al.

The sludge dewaterability is essential for waste activated sludge (WAS) treatment and disposal in wastewater treatment plants (WWTPs). The biological enzyme conditioning process is a promising method to enhance the dewaterability of WAS. In this study, the optimal conditions in terms of pH, temperature, bio-enzyme dosage, and treatment time for five kinds of biological enzymes (α-amylase, cellulase, acidic protease, neutral protease, and alkaline protease) were investigated. Among them, α-amyl...
Biological Enzyme Operating Condition Ludge Conditioning Ludge Dewaterability
Source: uow.edu.au

"Byproduct use optimization in a combined sinter plant and blast furnac" by C. McMahon, I. Cameron et al.

Integrated steelplants produce a range of byproducts. An increased focus on sustainability and a global drive to develop a circular economy has shifted focus from byproducts that can be reused without significant operational impact to byproducts that have physical or chemical characteristics that complicate reuse. A case study of byproduct reuse was undertaken using an existing integrated SP and BF model that included ten trace elements considered critical for the assessment of byproduct reuse: ...
Aspen Custom Modeler Yproduct Reuse Ntegrated Steelmaking Process Integration Trace Elements
Source: uow.edu.au

"Enhanced framework for COVID-19 prediction with computed tomography sc" by Anand Motwani, Piyush Kumar Shukla et al.

Recent studies have shown that computed tomography (CT) scan images can characterize COVID-19 disease in patients. Several deep learning (DL) methods have been proposed for diagnosis in the literature, including convolutional neural networks (CNN). But, with inefficient patient classification models, the number of ‘False Negatives’ can put lives at risk. The primary objective is to improve the model so that it does not reveal ‘Covid’ as ‘Non-Covid’. This study uses Dense-CNN to categ...
False Negative Chest Ct Images Covid 19 Deep Learning Ense Convolutional Neural Network Loss Function
Source: uow.edu.au

"Alpha Harris Hawks Optimization based Overcurrent Relay Coordination w" by Mian Rizwan, Lucheng Hong et al.

The conventional protection schemes may lead towards the inadvertent operation of the protection devices with the increased penetration of renewable energy sources based distributed generation (RES-DG) in distribution networks (DN). The miscoordination and the malfunctioning of directional overcurrent relays (DOCR) may occur due to significant change in the fault current level (FCL) and the change in the network topology form the radial to ring topology caused by the RES-DG. Optimization algorit...
Harris Hawk Directional Overcurrent Relay Ybrid Tcv Es Dgs
Source: uow.edu.au

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