Results 11 to 20 of about 2,687,799 (289)
Design methodology for wing trailing edge device mechanisms [PDF]
, 2007 Over the last few decades the design of high lift devices has become a very important part of the total aircraft design process. Reviews of the design process are performed on a regular basis, with the intent to improve and optimize the design process.
Martins Pires, Rui Miguel
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Examination of three candidate technologies for high-lift devices on an aircraft wing [PDF]
, 2005 A research programme was initiated to examine three candidate high-lift technologies, which would, if implemented, simplify the mechanical complexity of the multiple component trailing-edge devices traditionally employed on civil transport aircraft ...
Knepper, Angela Marie
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Rapid IoT device identification at the edge [PDF]
Proceedings of the 2nd ACM International Workshop on Distributed Machine Learning, 2021 Consumer Internet of Things (IoT) devices are increasingly common in everyday homes, from smart speakers to security cameras. Along with their benefits come potential privacy and security threats. To limit these threats we must implement solutions to filter IoT traffic at the edge.
Oliver Thompson +2 more
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MAPLE-Edge: A Runtime Latency Predictor for Edge Devices
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2022 Neural Architecture Search (NAS) has enabled automatic discovery of more efficient neural network architectures, especially for mobile and embedded vision applications. Although recent research has proposed ways of quickly estimating latency on unseen hardware devices with just a few samples, little focus has been given to the challenges of estimating ...
Saeejith Nair +3 more
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pH sensitivity of edge-gated graphene field-effect devices with covalent edge-functionalization [PDF]
, 2022 We present here a new strategy for a field-effect device, termed graphene edge field-effect transistor (GrEdge-FET), where a micron-wide graphene monolayer is gated exclusively through its edge in an aqueous environment.
Kannan, Balasubramanian +3 more
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EdgeFaaSBench: Benchmarking Edge Devices Using Serverless Computing
, 2022 Due to the development of small-size, energy-efficient, and powerful CPUs and GPUs for single-board computers, various edge devices are widely adopted for hosting real-world applications, including real-time object detection, autonomous driving, and ...
Wang, Wei +4 more
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Edge-InversionNet: Enabling efficient inference of InversionNet on edge devices
Third International Meeting for Applied Geoscience & Energy Expanded Abstracts, 2023 Seismic full waveform inversion (FWI) is a widely used technique in geophysics for inferring subsurface structures from seismic data. And InversionNet is one of the most successful data-driven machine learning models that is applied to seismic FWI. However, the high computing costs to run InversionNet have made it challenging to be efficiently deployed
Zhepeng Wang 0001 +3 more
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Fast MTF measurement of CMOS imagers at the chip level using ISO 12233 slanted-edge methodology [PDF]
, 2004 MTF measurement methods for imaging devices usually require the use of an optical system to project the image of the object onto the detector. So, MTF results quality strongly depends on the accuracy of the optical adjustments (alignments, focusing ...
Magali Estribeau +3 more
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Power Distribution IoT Tasks Online Scheduling Algorithm Based on Cloud-Edge Dependent Microservice
Applied Sciences, 2023 The power distribution network business gradually extends from the grid domain to the social service domain, and the new business keeps expanding. The edge device uses microservice architecture and container technology to realize the processing of ...
Ruolin Chen, Qian Cheng, Xinhui Zhang
doaj +1 more source
Stackelberg Model Based Distributed Pricing and Computation Offloading in Mobile Edge Computing [PDF]
Jisuanji kexue, 2023 As a novel computing paradigm,mobile edge computing(MEC) provides low latency and flexible computing and communication services for mobile devices by offloading computing tasks from mobile devices to the physically proximal network edge.However,because ...
CHEN Xuzhan, LIN Bing, CHEN Xing
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