Tracking Control for Hydrogen Fuel Cell Systems in Zero-Emission Ferry Ships by Mohammad Hassan Khooban, Navid Vafamand, Jalil Boudjadar

“…A challenge of such settings is how to stabilize the voltages and currents of the ship’s grid. In this paper, we propose a new modified backstepping controller to stabilize the MG voltage and currents. …”
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Study on the Influence of Grooving Parameters of Lapping Gear Vibration System on Vibration Characteristics by Derong Zhu, Na Li, Hao Li, Jianjun Yang, Xiaozhong Deng, Hongmin Xin, Fuquan Nie

“…Under the same conditions concerning the attribute settings， grid partition， and modal analysis settings of the material， the influences of the number， width， length and position on the resonance frequency， vibration mode， displacement node and gear deformation are analyzed by Ansys Workbench； a method for controlling the coupled vibration produced by grooving the transmitted cylinder is established， which can further enrich and improve the existing design theory of the processing vibration system for ultrasonic lapping gears.…”
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Secretul doctorului Walter (eseu psihanalitic) by Simona Galațchi

“…The analysis of the data recorded in this sheet resorts to the psychoanalytic grid, envisaging at the same time some concepts of analytical psychology. …”
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Accurate Parameter Estimation for Unbalanced Three-Phase System by Yuan Chen, Hing Cheung So

“…Smart grid is an intelligent power generation and control console in modern electricity networks, where the unbalanced three-phase power system is the commonly used model. …”
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A Note on the Iterative MRI Reconstruction from Nonuniform k-Space Data by Tobias Knopp, Stefan Kunis, Daniel Potts

“…In magnetic resonance imaging (MRI), methods that use a non-Cartesian grid in k-space are becoming increasingly important. …”
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Multiple targets localization via compressive sensing from mere connectivity by Lei LIU, Jian-jun ZHANG, Yang LU, Xing WEI, Jiang-hong HAN

“…A multiple targets localization method was proposed from mere connectivity,and the multiple targets posi-tioning problem was converted to sparse vector resolving by compressive sensing theory,which was applied to the indoor localization of intensive references distribution.The connectivity to the references was collected as the only measurement data,and targets locations were figured out by minimum l₁-norm algorithm.When measurement data was compressed tol 1 bit,the fixed point iteration algorithm combined with semi-definite relax was proposed to figure out targets locations.As for the simulation results,compared with MDS-MAP,DV-Hop and RSS-CS algorithms,the average location error is less than 1 grid by the mere connectivity of N -bit and 1-bit quantization CS localization,of which the occupied bit quan-tity are reduced to less than 4 times and 16 times of RSS localization observation value respectively.…”
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Self-adaptive price adjustment strategy based on market mechanism in distributed environment by Chang-song DING, Zhi-ying WANG, Zhi-gang HU

“…Resources information in the real distributed systems was used as the performance parameters of experimental node in the sim lation experiments, and the performance of the adaptive pricing strategy was tested in a large-scale grid mission. Experimental results show that, compared with the traditional pricing strategies, the adaptive pricing strategy based on market mechanism has vastly superior performance on the resource benefits and the balance of resource utilization.…”
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Performance Evaluation of FSO Communications under Sand-Dust Conditions by Minghua Cao, Huiqin Wang, Yu Yao, Shanglin Hou

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Optimal Graphs in the Enhanced Mesh Networks by Muhammad Shahzad Akhtar, Muhammad Imran, Syed Ahtsham ul Haq Bokhary

“…In this article, host graph is considered as the enhanced mesh network constructed from the grid network. This article provides some exact values for the said problem and also gives some bounds for the optimal graphs.…”
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УМНОЖЕНИЕ ПО БОЛЬШОМУ МОДУЛЮ В МИНИМАЛЬНО ИЗБЫТОЧНОЙ МОДУЛЯРНОЙ СИСТЕМЕ СЧИСЛЕНИЯ С ПРИМЕНЕНИЕМ ОПЕРАЦИЙ МАСШТАБИРОВАНИЯ...

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Deployment scheme of WSN relay nodes based on artificial bee colony optimization by Kainan LIU, Xu HAN

“…In wireless sensor network(WSN),the relay node deployment performance is one of the main factors to affect network life.Aiming at the WSN with 3-demension high density,there is no existing relay node deployment schemes enhancing the network life efficiently with the constraints of hardware cost and network connectivity.Hence,a novel deployment scheme called artificial bee colony(ABC)-based relay node deployment scheme(ABC-RNDS)was proposed based on network-grid deployment method.In ABC-RNDS,double-layer topology was adopted to build WSN,which used minimum spanning tree to construct the backbone nodes of WSN,and applied ABC to extend the network lifetime by optimizing network parameters and constraining the number of relay nodes.The simulation results show that,compared to the traditional deployment scheme,ABC-RNDS can improve network lifetime significantly under constrains of cost and connectivity.…”
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Biologically Motivated Novel Localization Paradigm by High-Level Multiple Object Recognition in Panoramic Images by Sungho Kim, Min-Sheob Shim

“…The proposed localization paradigm consisted of three parts: panoramic image acquisition, multiple object recognition, and grid-based localization. Multiple object recognition information from panoramic images is utilized in the localization part. …”
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“Modelarse en cuerpo y alma según el aparato técnico”. Alienación y subjetivación en el pensamiento de Theodor W. Adorno by Francisco Villalba Muñoz

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Supercapacitor Cell Performance with Bacterial Nanocellulose and Bacterial Nanocellulose/Polybenzimidazole Impregnated Membranes as Separator by Hristo Penchev, Galia Ivanova, Venelin Hubenov, Ivanka Boyadzieva, Desislava Budurova, Filip Ublekov, Adriana Gigova, Antonia Stoyanova

“…This process yielded hybrid BNC/PBI membranes with improved ion-transport properties. …”
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Unpacking the Mood States of Children and Youth in Saskatchewan, Canada, in the Context of the COVID-19 Pandemic: Insights from the “See Us, Hear Us 2.0” Study by Nahin Shakurun, Tamara Hinz, Daniel A. Adeyinka, Nazeem Muhajarine

“…Factors such as older children, hybrid learning, disrupted activities, and increased screen time worsened moods. …”
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Farinelli and the English: “One God” or the Devil? by Thomas McGeary

“…En 1737, après trois saisons passées à Londres, Farinelli part pour Madrid où il passe les vingt-deux années suivantes au service de la cour. …”
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An automated adaptive trading system for enhanced performance of emerging market portfolios by Cristiana Tudor, Robert Sova

“…The main strength of the AATS is its ability to allow the embedded hybrid forecasting model to adapt to the changing environments that characterize EMs. …”
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Telehealth and people with disabilities in the United Kingdom: a scoping review by Mezhen Ko, Mezhen Ko, Matthew Azzopardi, Constantinos Loizou, Abison Logeswaran, Benjamin Ng, Agata Pacho, Yu Jeat Chong

“…However, healthcare provider perspectives highlighted concerns about the ability to build a rapport and perform thorough assessments remotely.ConclusionTelehealth should complement traditional care through a hybrid approach. Future efforts must focus on improving technological accessibility, training healthcare providers, and co-designing solutions with patients to promote equitable healthcare access for people with disabilities.…”
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NIRS-BIDS: Brain Imaging Data Structure Extended to Near-Infrared Spectroscopy by Robert Luke, Robert Oostenveld, Helena Cockx, Guiomar Niso, Maureen J Shader, Felipe Orihuela-Espina, Hamish Innes-Brown, Stephen Tucker, David Boas, Meryem A. Yücel, Remi Gau, Taylor Salo, Stefan Appelhoff, Christopher J. Markiewicz, David McAlpine, The BIDS Maintainers, Luca Pollonini

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Optimization of a photovoltaic/wind/battery energy-based microgrid in distribution network using machine learning and fuzzy multi-objective improved Kepler optimizer algorithms by Fude Duan, Mahdiyeh Eslami, Mohammad Khajehzadeh, Ali Basem, Dheyaa J. Jasim, Sivaprakasam Palani

“…Abstract In this study, a fuzzy multi-objective framework is performed for optimization of a hybrid microgrid (HMG) including photovoltaic (PV) and wind energy sources linked with battery energy storage (PV/WT/BES) in a 33-bus distribution network to minimize the cost of energy losses, minimizing the voltage oscillations as well as power purchased minimization from the HMG incorporated forecasted data. …”
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