Results 61 to 70 of about 2,347,910 (180)

Configurable Multi-Layer Perceptron-Based Soft Sensors on Embedded Field Programmable Gate Arrays: Targeting Diverse Deployment Goals in Fluid Flow Estimation

Sensors
This study presents a comprehensive workflow for developing and deploying Multi-Layer Perceptron (MLP)-based soft sensors on embedded FPGAs, addressing diverse deployment objectives. The proposed workflow extends our prior research by introducing greater
Tianheng Ling, Chao Qian, Theodor Mario Klann, Julian Hoever, Lukas Einhaus, Gregor Schiele   +5 more
doaj   +1 more source

A component-oriented programming framework for developing embedded mobile robot software using PECOS model [PDF]

, 2006
A practical framework for component-based software engineering of embedded real-time systems, particularly for autonomous mobile robot embedded software development using PECOS component model is proposed The main features of this framework are: (1) use ...
Abang Jawawi, Dayang Norhayati, Deris, Safaai, Mamat, Rosbi   +2 more
core  

Software for Embedded Control Systems [PDF]

, 2001
The research of our team deals with the realization of control schemes on digital computers. As such the emphasis is on embedded control software implementation.
Broenink, Jan F., Hilderink, Gerald H., Jovanovic, Dusko S.   +2 more
core   +1 more source

Source Code Verification for Embedded Systems using Prolog

, 2017
System relevant embedded software needs to be reliable and, therefore, well tested, especially for aerospace systems. A common technique to verify programs is the analysis of their abstract syntax tree (AST).
Flederer, Frank, Montenegro, Sergio, Ostermayer, Ludwig, Seipel, Dietmar   +3 more
core   +2 more sources

Systematic Error Modeling and Bias Estimation

Sensors, 2016
This paper analyzes the statistic properties of the systematic error in terms of range and bearing during the transformation process. Furthermore, we rely on a weighted nonlinear least square method to calculate the biases based on the proposed models ...
Feihu Zhang, Alois Knoll
doaj   +1 more source

TRACE: Time series representation learning with contrastive embeddings for anomaly detection in photovoltaic systems

Energy and AI
Reliable anomaly detection in photovoltaic (PV) inverters is critical for ensuring operational efficiency and reducing maintenance costs in renewable energy systems.
Chandana Priya Nivarthi, Zhixin Huang, Christian Gruhl, Bernhard Sick   +3 more
doaj   +1 more source

The extreme vulnerability of interdependent spatially embedded networks

, 2012
Recent studies show that in interdependent networks a very small failure in one network may lead to catastrophic consequences. Above a critical fraction of interdependent nodes, even a single node failure can invoke cascading failures that may abruptly ...
A Bashan, A Bashan, A Bunde, A Vespignani, Amir Bashan, B Nienhuis, CD Brummitt, CM Schneider, CM Schneider, D Li, D Stauffer, I Dobson, J Gao, J Gao, J Hao, M Barthelemy, MPM Den Nijs, R Cohen, R Cohen, R Khanin, R Milo, R Parshani, R Parshani, S Rinaldi, S Son, Sergey V. Buldyrev, Shlomo Havlin, SN Dorogovtsev, SV Buldyrev, SV Buldyrev, U Alon, V Rosato, W Li, X Huang, Y Hu, Yehiel Berezin   +35 more
core   +1 more source

Model based code generation for distributed embedded systems [PDF]

, 2010
Embedded systems are becoming increasingly complex and more distributed. Cost and quality requirements necessitate reuse of the functional software components for multiple deployment architectures.
Delange, Julien, Gopalswamy, Swaminathan, Hugues, Jérôme, Radhakrishnan, Karthikeyan, Raghav, Gopal   +4 more
core   +1 more source

The dependence of galaxy group star formation rates and metallicities on large scale environment

, 2012
We construct a sample of 75,863 star forming galaxies with robust metallicity and star formation rate measurements from the Sloan Digital Sky Survey Data Release 7 (SDSS DR7), from which we select a clean sample of compact group (CG) galaxies.
Abazajian, Alonso, Alonso, Baldry, Baldwin, Balogh, Balogh, Balogh, Balogh, Barnes, Barnes, Barton, Blanton, Blanton, Blanton, Brinchmann, Carter, Chung, Cooper, Cooper, Couch, Croton, Croton, Donzelli, Dressler, Ellison, Ellison, Ellison, Ellison, Goto, Gunn, Gómez, Haines, Hashimoto, Hickson, Hubble, J. Trevor Mendel, Jillian M. Scudder, Kauffmann, Kauffmann, Kauffmann, Kewley, Kewley, Kewley, Kimm, Kobulnicky, Lambas, Lara-López, Larson, Larson, Lewis, Mannucci, Martínez, McConnachie, McGaugh, McGee, Mendel, Michel-Dansac, Mihos, Montuori, Moore, Mouhcine, Park, Park, Patiri, Patton, Pei, Peng, Perez, Pimbblet, Poggianti, Postman, Rasmussen, Rupke, Salim, Sara L. Ellison, Scudder, Skibba, Stasińska, Tago, Tanaka, Torrey, Veilleux, Weinmann, Welikala, Whitmore, Woods, Yates, Zaritsky   +88 more
core   +1 more source

Energy-Efficient CNN Hardware Accelerator for Real-Time Construction Progress Monitoring

IEEE Access
Real-time construction progress monitoring is a critical but resource-intensive task for autonomous edge devices. Traditional deep learning approaches face limitations in terms of computational power and energy consumption, which hinder their on-site ...
George B. Nardes, Luiz F. H. Duarte, Wesley Grignani, Douglas R. Melo, Cesar A. Zeferino   +4 more
doaj   +1 more source