Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Emmanuel Oyekanlu"'
Publikováno v:
Applied AI and Multimedia Technologies for Smart Manufacturing and CPS Applications ISBN: 9781799878520
This chapter is the companion chapter to “Part 1: State-of-the-Art Time-Series Data Formats Performance Evaluation.” In this chapter, algorithms for converting data from one format to other formats are presented. To implement the algorithms, exis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8cc82e27a3f14b0ae2b2aa5fc17372eb
https://doi.org/10.4018/978-1-7998-7852-0.ch002
https://doi.org/10.4018/978-1-7998-7852-0.ch002
Autor:
Alexander C. Smith, Dan Sun, Weimin Liu, Patrick G. Mcbride, Windsor P. Thomas, Anthony Ng'oma, Mason Ng, Dave Hitesh, David Joseph Kuhn, Steven C. Buonavita, Jason D. Mcghinnis, Nickolus A. Looper, Matthew Ramsey, Craig Cerasi, Grethel Mulroy, Emmanuel Oyekanlu, Michael G. Shultz
Publikováno v:
IEEE Access, Vol 8, Pp 202312-202353 (2020)
In industrial environments, over several decades, Automated Guided Vehicles (AGVs) and Autonomous Mobile Robots (AMRs) have served to improve efficiencies of intralogistics and material handling tasks. However, for system integrators, the choice and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::75904eb1f0d0cbc39ef5317f9a0bf0cb
https://ieeexplore.ieee.org/document/9247159/
https://ieeexplore.ieee.org/document/9247159/
Autor:
Emmanuel Oyekanlu
In the past decade, artificial intelligence (AI), data analytics, and multimedia technology methods for integrating cyber-physical systems (CPS), smart manufacturing, and Industry 4.0 applications in the manufacturing industries have been steadily gr
Autor:
Emmanuel Oyekanlu, Jia Uddin
Publikováno v:
Deterministic Artificial Intelligence
Deterministic Artificial Intelligence ISBN: 9781789841114
Deterministic Artificial Intelligence ISBN: 9781789841114
In this chapter, the random forest-based ensemble regression method is used for the prediction of powerline impedance at the powerline communication (PLC) narrowband frequency range. It is discovered that while PLC load transfer function, phase, and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::95cf064e59f671dc61556ffbb994c881
http://www.intechopen.com/articles/show/title/random-forest-based-ensemble-machine-learning-data-optimization-approach-for-smart-grid-impedance-pr
http://www.intechopen.com/articles/show/title/random-forest-based-ensemble-machine-learning-data-optimization-approach-for-smart-grid-impedance-pr
Autor:
Emmanuel Oyekanlu
Publikováno v:
CIC
In developing state of the art applications for Internet of Things (IoT) and Cyber Physical Systems (CPS), most applications software and associated hardware are always developed from ground up. However, this approach always involves huge capital out
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ff244d3a0e97447fad1f9aa1c26cb94a
https://doi.org/10.1109/cic.2018.00052
https://doi.org/10.1109/cic.2018.00052
Autor:
Emmanuel Oyekanlu
Publikováno v:
CIC
To implement machine learning algorithms and other useful algorithms in industrial Internet of Things (IIoT), new computing approaches are needed to prevent costs associated with having to install state of the art edge analytic devices. A suitable ap
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6762deb1ca030a3fe85dc7bbe21f8c6c
https://doi.org/10.1109/cic.2018.00051
https://doi.org/10.1109/cic.2018.00051
Autor:
Emmanuel Oyekanlu
Publikováno v:
AIKE
Challenges associated with developing analytics solutions at the edge of large scale Industrial Internet of Things (IIoT) networks close to where data is being generated in most cases involves developing analytics solutions from ground up. However, t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dac9d0a709d4cd7b58bf064d96cefd3c
https://doi.org/10.1109/aike.2018.00042
https://doi.org/10.1109/aike.2018.00042
Autor:
Emmanuel Oyekanlu, K. Scoles
Publikováno v:
AIKE
Digital Signal Processors (DSP) are vital system components in industrial Artificial Intelligence (AI) applications. In this paper, FIR filters that could be used for industrial AI applications are designed from the Spline Biorthogonal 1.5 (SB1.5) mo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b45d6f7d32d3aebff66cd494a1f15296
https://doi.org/10.1109/aike.2018.00037
https://doi.org/10.1109/aike.2018.00037
Publikováno v:
ICAIT
In this paper, the uses and functions of an existing, widely available digital signal processor (DSP) is extended to include using it to generate needed waveforms that could be used for computing, filtering, modulation and noise removal applications
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d48d601731f9a5c0a8148b7b8cf03da4
https://doi.org/10.1109/icait.2018.8686577
https://doi.org/10.1109/icait.2018.8686577
Publikováno v:
ICAIT
Arbitrary waveform generators (AWGs) are very expensive instruments useful for generating complex signals and waveforms needed as communication and test signals for state of the art communication, Internet of Things (IoT), and Cyber Physical Systems
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::355284f6d546dc499119d423921c9b7b
https://doi.org/10.1109/icait.2018.8686615
https://doi.org/10.1109/icait.2018.8686615