Results 81 to 90 of about 719,599 (285)
Jurnal Teknologi Informasi dan Ilmu Komputer, 2017 Abstrak Jaringan sensor nirkabel atau wireless sensor network adalah sebuah jaringan yang terdiri dari banyak sensor node, yang berfungsi untuk memindai fenomena tertentu di sekitarnya.
Listyanti Dewi Astuti, Waskitho Wibisono
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Innovating Aircraft Repair Processes: The Role of Digitalization in Sustainability
Advanced Engineering Materials, EarlyView.This research explores how digitalization—by storing detailed non‐destructive testing data in structured DICONDE databases and creating a standard data model of the component—innovates aviation maintenance and repair processes. Coupled with a developed state‐based simulation model, it enables data‐driven, sustainable repair strategies that reduce waste,
Johanna Aigner +3 more
wiley +1 more source
Advanced Engineering Materials, EarlyView.This study examines how several molten high‐silicon electrical steels interact with both conventional and recycled MgO–C refractories. For this, various immersion experiments are conducted. In addition to infiltration, a number of mechanisms are identified and explained that control the corrosion of the refractory material.
Lukas Neubert +7 more
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Reckoning Network Lifetime Ratio for Wireless Sensor Network
International Journal of Innovative Technology and Exploring Engineering, 2019 Advanced Technologies such as Internet of Things, Machine Networking give rise to the deployment of autonomous Wireless Sensor Nodes. They are used for various domains namely battlefield monitoring, enemy detection and monitoring the environment change. These Wireless Sensor Nodes have the properties of low cost and high battery life.
Mohamed Najmus Saqhib, Dr Lakshmikanth S
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Advanced Engineering Materials, EarlyView.Carbon nanomaterial‐reinforced epoxy composites exhibit pronounced piezoresistive behavior, enabling intrinsic damage sensing under cyclic and fatigue loading. This review critically compares carbon nanotube and graphene systems, correlating filler content, percolation threshold, and gauge factor with sensing stability and damage evolution.
J. M. Parente +3 more
wiley +1 more source
Energy-Efficient Algorithm for Sensor Networks with Non-Uniform Maximum Transmission Range
Sensors, 2011 In wireless sensor networks (WSNs), the energy hole problem is a key factor affecting the network lifetime. In a circular multi-hop sensor network (modeled as concentric coronas), the optimal transmission ranges of all coronas can effectively improve ...
Yimin Yu +3 more
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Transient spatiotemporal chaos in a diffusively and synaptically coupled Morris-Lecar neuronal network [PDF]
, 2014 Thesis (M.S.) University of Alaska Fairbanks, 2014Transient spatiotemporal chaos was reported in models for chemical reactions and in experiments for turbulence in shear flow.
Lafranceschina, Jacopo
core
3D‐Printed Giant Magnetoresistive (GMR) Sensors Based on Self Compliant Springs
Advanced Engineering Materials, EarlyView.This work explores 3D‐printed GMR sensors utilizing self‐compliant spring structures and conductive PLA composites. By optimizing arm width, we achieved high piezoresistive (0.34%/mm) and magnetoresistive (0.77%/mT) sensitivities. Demonstrated through Bluetooth‐integrated pressure and magnetic position sensing, these full printed low‐cost, customizable
Josu Fernández Maestu +4 more
wiley +1 more source
Movement-Efficient Sensor Deployment in Wireless Sensor Networks With Limited Communication Range. [PDF]
, 2018 We study a mobile wireless sensor network (MWSN) consisting of multiple mobile sensors or robots. Three key factors in MWSNs, sensing quality, energy consumption, and connectivity, have attracted plenty of attention, but the interaction of these factors ...
Guo, Jun, Jafarkhani, Hamid
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Maximizing Network Lifetime of Wireless Sensor Network
, 2018 Wireless sensor networks are used to extract various information that is used to collect data. It includes a large volume of data so that its performance may get slower and lifetime of the network may get restricted. This paper deals with the aximum usage period of the networks.
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