Internet of Things (IoT) enabled Wireless Sensor Networks (WSNs) is not only constitute an encouraging research domain but also represent a promising industrial trend that permits the development of various IoT-based ...
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Considering the expansion of the Internet of Things (IoT) and the volume of data and user requests, Mobile Edge Computing (MEC) is considered a novel and efficient solution that puts decentralized servers at the netw...
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In recent years, airport runways have become a more critical bottleneck in airports, and it is very unusual to use only one runway to solve the Aircraft Landing Problem (ALP). The ALP includes the aircraft's landi...
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The growing demand for reliable and sustainable energy has driven researchers and engineers to explore renewable energy sources to complement traditional power grids. Wind energy conversion systems (WECS), particularl...
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Monitoring ship emissions poses an intricate interdisciplinary challenge, encompassing atmospheric science, transportation, information communication, and computertechnology. Key stakeholders in this effort include m...
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We propose a single material photonic crystal fiber (SM-PCF) for mid-infrared supercontinuum generation (MISG) using pure quartic soliton (PQS) for the first time. We have designed a SM-PCF considering fabricatio...
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Bioanalysis at a single-cell level has yielded unparalleled insight into the heterogeneity of complex biological *** with Lab-on-a-Chip concepts,various simultaneous and high-frequency techniques and microfluidic plat...
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Bioanalysis at a single-cell level has yielded unparalleled insight into the heterogeneity of complex biological *** with Lab-on-a-Chip concepts,various simultaneous and high-frequency techniques and microfluidic platforms have led to the development of high-throughput platforms for single-cell ***(DEP),an electrical approach based on the dielectric property of target cells,makes it possible to efficiently manipulate individual cells without *** review focusses on the engineering designs of recent advanced microfluidic designs that utilize DEP techniques for multiple single-cell ***-chip DEP is primarily effectuated by the induced dipole of dielectric particles,(i.e.,cells)in a non-uniform electric *** addition to simply capturing and releasing particles,DEP can also aid in more complex manipulations,such as rotation and moving along arbitrary predefined routes for numerous ***,DEP electrodes can be designed with different patterns to achieve different geometric boundaries of the electric *** many single-cell analyses require isolation and compartmentalization of individual cells,specific microstructures can also be incorporated into DEP *** article discusses common electrical and physical designs of single-cell DEP microfluidic devices as well as different categories of electrodes and *** addition,an up-to-date summary of achievements and challenges in current designs,together with prospects for future design direction,is provided.
This research paper aims to ensure the reliable and efficient operation of grid-connected solid-state transformers (SSTs) by detecting and evaluating various undesirable operating conditions. The study considers diffe...
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Fractional order algorithms have shown promising results in various signal processing applications due to their ability to improve performance without significantly increasing *** goal of this work is to inves-tigate ...
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Fractional order algorithms have shown promising results in various signal processing applications due to their ability to improve performance without significantly increasing *** goal of this work is to inves-tigate the use of fractional order algorithm in the field of adaptive beam-forming,with a focus on improving performance while keeping complexity *** effectiveness of the algorithm will be studied and evaluated in this *** this paper,a fractional order least mean square(FLMS)algorithm is proposed for adaptive beamforming in wireless applications for effective utilization of *** algorithm aims to improve upon existing beam-forming algorithms,which are inefficient in performance,by offering faster convergence,better accuracy,and comparable computational *** FLMS algorithm uses fractional order gradient in addition to the standard ordered gradient in weight *** derivation of the algorithm is provided and supported by mathematical convergence *** is evaluated through simulations using mean square error(MSE)minimization as a metric and compared with the standard LMS algorithm for various *** results,obtained through Matlab simulations,show that the FLMS algorithm outperforms the standard LMS in terms of convergence speed,beampattern accuracy and scatter *** outperforms LMS in terms of convergence speed by 34%.From this,it can be concluded that FLMS is a better candidate for adaptive beamforming and other signal processing applications.
The authors propose a distributed field mapping algorithm that drives a team of robots to explore and learn an unknown scalar field using a Gaussian Process(GP).The authors’strategy arises by balancing exploration ob...
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The authors propose a distributed field mapping algorithm that drives a team of robots to explore and learn an unknown scalar field using a Gaussian Process(GP).The authors’strategy arises by balancing exploration objectives between areas of high error and high *** computing high error regions is impossible since the scalar field is unknown,a bio-inspired approach known as Speeding-Up and Slowing-Down is leveraged to track the gradient of the GP *** approach achieves global field-learning convergence and is shown to be resistant to poor hyperparameter tuning of the *** approach is validated in simulations and experiments using 2D wheeled robots and 2D flying mini-ature autonomous blimps.
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