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Signal Demodulation with Machine Learning Methods for Physical Layer Visible Light Communications: Prototype Platform, Open Dataset and Algorithms
2019
IEEE Access
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In this paper, we investigate the design and implementation of machine learning (ML) based demodulation methods in the physical layer of visible light communication (VLC) systems. ...
These three demodulators are trained and tested by our online open dataset. ...
Visible light communication (VLC), with advantages like huge unregulated spectrum, high security and immunity to electromagnetic interference, has sparked significant research attention as a promising ...
doi:10.1109/access.2019.2903375
fatcat:u5xdpp33vzfv5lfthpkvotbcni
Machine Learning Applications for Short Reach Optical Communication
2022
Photonics
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One of the techniques that has attracted intensive interests in short-reach optical communications is machine learning (ML). ...
(OPM), modulation format identification (MFI), signal processing and in-building/indoor optical wireless communications. ...
Signal Demodulation With Machine Learning Methods for Physical Layer
Visible Light Communications: Prototype Platform, Open Dataset, and Algorithms. IEEE Access 2019, 7, 30588–30598. ...
doi:10.3390/photonics9010030
fatcat:n436p2z4vvbhlltafonxxnai5y
Radar Signal Processing for Sensing in Assisted Living: The challenges associated with real-time implementation of emerging algorithms
2019
IEEE Signal Processing Magazine
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O. (2019) Radar signal processing for sensing in assisted living: the challenges associated with real-time implementation of emerging algorithms. ...
The common challenge of classification is discussed within a framework of measurements/pre-processing, feature extraction, and classification algorithms for supervised learning. ...
pressure, acoustic, infrared sensors), to cameras based on visible/infrared light, or depth information. ...
doi:10.1109/msp.2019.2903715
fatcat:vifhwthbnzhmzf4gc6pbta2gyi
Towards 6G wireless communication networks: vision, enabling technologies, and new paradigm shifts
2020
Science China Information Sciences
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Clearly, 6G with additional technical requirements beyond those of 5G will enable faster and further communications to the extent that the boundary between physical and cyber worlds disappears. ...
Third, facing the big datasets generated by the use of extremely heterogeneous networks, diverse communication scenarios, large numbers of antennas, wide bandwidths, and new service requirements, 6G networks ...
Open access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long ...
doi:10.1007/s11432-020-2955-6
fatcat:bf4wxtlfsbg7noe5nshf3pz3qq
Welcome Messages
2019
2019 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)
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The database along with its source code will be made open source for the research and academic purpose. ...
With the spread of mobile devices, image and video transmission is in great demand. ...
With the conventional method, the SNR of the demodulated signal is 19.0dB. With the proposed method, the SNR is 23.6 dB and improved 4.6 dB from the conventional method.
IV. ...
doi:10.1109/ispacs48206.2019.8986291
fatcat:gu4zaxsqkncp5n2ebj5fybk7ce
A Survey of Fog Computing and Communication: Current Researches and Future Directions
[article]
2018
arXiv
pre-print
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with fog computing platforms. ...
Finally, we provide a thorough discussion on the future scopes and open research areas in fog computing as an enabler for the next generation computing paradigm. ...
processing unit (BBU) that takes care of the signal processing activities, like modulation and demodulation, signal encoding and decoding, noise cancellation etc. ...
arXiv:1804.04365v1
fatcat:n5bqi4dtajekvmaripfpm3foxm
IoT-Based Telemetry System of Ultrasonic Measurement for Experimental Study under COVID-19 Situation
2019
American journal of science & engineering
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, and physics. ...
The proposed model employs transfer learning technique of the powerful ResNet-50 CNN pretrained on ImageNet to train and classify dataset into benign or malignant. ...
For this and unlike traditional machine learning methodologies that required human perception of judgments, deep machine learning has a higher probability of assurance of underlying features from studies ...
doi:10.15864/ajse.1302
fatcat:nscbnlfhprejvgqfbrojrzxppu
HDOMO: Smart Sensor Integration for an Active and Independent Longevity of the Elderly
2017
Sensors
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The objective of the project was to create an autonomous and automated domestic environment, primarily for elderly people and people with physical and motor disabilities. ...
From a technical point of view, the project provides the use of different Smart Objects (SOs), able to communicate among each other, in a cloud base infrastructure, and with the assisted users and their ...
Author Contributions: Emanuele Frontoni was the scientific project leader and coordinated all multimedia processing methods and smart sensors; Pollini Rama and Primo Zingaretti were responsible for data ...
doi:10.3390/s17112610
pmid:29137174
pmcid:PMC5713030
fatcat:sxhkwu7u6jhwplcidagxkacsnu
Defense Advanced Research Projects Agency (Darpa) Fiscal Year 2016 Budget Estimates
2015
Zenodo
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-Develop methods for automatically detecting and removing noise or contamination from datasets. ...
-Integrate machine learning algorithms that can direct and assimilate mining activities on analysis artifacts stored in the database. ...
doi:10.5281/zenodo.1215366
fatcat:cqn5tyfixjanzp5x3tgfkpedri
Conference Guide [Front matter]
2020
2020 16th International Conference on Control, Automation, Robotics and Vision (ICARCV)
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After verified by on-site and
simulated data and compared with commonly used machine
learning, this algorithm performs well in the demodulation of in-band
noisy cab signals demodulation, the average ...
The proposed method was validated in the Next Generation Simulation dataset, and the queue length for each signal cycle can be estimated with a high accuracy. ...
When the communication network meets the necessary connectivity, we develop a variation of so-called ratio consensus algorithm that deal with malicious attacks. ...
doi:10.1109/icarcv50220.2020.9305477
fatcat:4h7gpoj7ljgsrlkjoyw3qcfzxi
A Survey on Human Behavior Recognition Using Smartphone-based Ultrasonic Signal
2019
IEEE Access
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Finally, we conclude by discussing the limitations, challenges, and open issues involved in behavior recognition based on ultrasound signal of smartphone. ...
With the popularity of smartphones and the improved performance of sensors such as speakers and microphones built in smartphones, the behavior recognition technique based on ultrasound signal of the smartphone ...
Deep learning is a method of machine learning and learns features from dataset automatically without the need for feature extraction [79] , [80] . ...
doi:10.1109/access.2019.2931088
fatcat:ajuq6a4cr5coxjxfompyd5xnpe
An Extensive Survey on the Internet of Drones
[article]
2021
arXiv
pre-print
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At a macroscopic level, it follows the structure of the Internet protocol stack, starting from the physical layer and extending to the upper layers, without neglecting cross-layer and optimization approaches ...
Finally, a discussion on the main research challenges and possible future directions is carried out, focusing on the open issues and the most promising technologies that deserve to be further developed ...
The proposed approach is then compared with different Machine Learning algorithms, to testify its effectiveness for UAV classification. ...
arXiv:2007.12611v3
fatcat:qje6brwqcza5xo43qh7qpj4csa
Defense Advanced Research Projects Agency (Darpa) Fiscal Year 2015 Budget Estimates
2014
Zenodo
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Included in this category is the National Center for Advancing Translational Sciences (NCATS) efforts to reengineer drug discovery and development in collaboration with industry, academia, the Food and ...
Neurotechnology for Emerging Therapies (SUBNETS)) and better data management. ...
Co-location of atomic physics and MEMS-based devices opens the possibility for utilization of combinatorial algorithms to enable fast start-up time and increased bandwidth of MEMS with the long-term stability ...
doi:10.5281/zenodo.1215345
fatcat:fjzhmynqjbaafk67q2ckcblj2m
Comparative Analysis of Different Machine Learning Classifiers for the Prediction of Chronic Diseases
[chapter]
2022
Comparative Analysis of Different Machine Learning Classifiers for the Prediction of Chronic Diseases
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A comparative study of different machine learning classifiers for chronic disease prediction viz Heart Disease & Diabetes Disease is done in this paper. ...
This paper forms the basis of understanding the difficulty of the domain and the amount of efficiency achieved by the various methods recently. ...
The performance of existing and proposed algorithms is analysed with regard to several metrics. ...
doi:10.13052/rp-9788770227667
fatcat:da47mjbbyzfwnbpde7rgbrlppe
Field Programmable Gate Array Applications—A Scientometric Review
2019
Computation
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, digital signal processing, image and video processing, big data, computer algorithms and other applications. ...
Here we found the top 150 applications that we divided into the following categories: digital control, communication interfaces, networking, computer security, cryptography techniques, machine learning ...
, machine learning, digital signal processing, image and video processing, computer algorithms, other implementations and other applications). ...
doi:10.3390/computation7040063
fatcat:wxtatzsvvnfopghdfl25hcfc2a
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