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Localization Method for Low-power Wireless Sensor Networks
2013
Journal of Networks
Preserved Fulltext
Focusing on this issue, this paper presents a localization system based on the use of Wireless Sensor Networks devices. ...
The proposed system is a range-free localization algorithm that uses fuzzy inference to process the RSSI measurement and to estimate the position of mobile devices. ...
The fuzzy engine evaluates the antecedent of every rule by the intersection of the fuzzy inputs, using the minimum function for the AND operator (Eq. 8), and the maximum function for the OR operator (Eq ...
doi:10.4304/jnw.8.1.45-58
fatcat:wwtajrlm7jcchonih6l7y66xvm
Context-Awareness for Mobile Sensing: A Survey and Future Directions
2016
IEEE Communications Surveys and Tutorials
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The existence and awareness of the context provides the capability of being conscious of physical environments or situations around mobile device users. ...
This allows network services to respond proactively and intelligently based on such awareness. ...
The future research trend should investigate mobile device based battery behavior with respect to variant sensory operations in smart devices. ...
doi:10.1109/comst.2014.2381246
fatcat:tzbqt6k23va3tltwxwg5jgvel4
A fuzzy rule-based system to predict energy consumption of genetic programming algorithms
2018
Computer Science and Information Systems
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To the best of our knowledge, few attempts have been performed before for modeling their energy consumption considering different execution devices. ...
In this work, we propose a fuzzy rulebased system to predict energy comsumption of a kind of Evolutionary Algorithm, Genetic Prohramming, given the device in wich it will be executed, its main parameters ...
Joao Sousa for their valuable and constructive suggestions ...
doi:10.2298/csis180110026a
fatcat:gn27ovpinnb3xci4hqtjetc75y
A Fuzzy Data Fusion Solution to Enhance the QoS and the Energy Consumption in Wireless Sensor Networks
2017
Wireless Communications and Mobile Computing
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In this paper, a fuzzy-based solution for data fusion in WSNs is presented to provide a better QoS and to reduce the energy consumption. ...
This purpose is accomplished thanks to a Fuzzy Logic Controller (FLC) implemented within nodes. ...
This Fuzzy Interface System analyzes AD based on the provided fuzzy rules. ...
doi:10.1155/2017/3418284
fatcat:hxfhmivdz5a6lg4my6gowvzl3a
A Conceptual and Systematics for Intelligent Power Management System-Based Cloud Computing: Prospects, and Challenges
2021
Applied Sciences
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The current study aims to introduce a conceptual and systematic structure with three main components: demand power (direct current (DC)-device), power mix between renewable energy (RE) and other power ...
This review describes a cloud-based intelligent power management system that uses analytics as a control signal and processes balance achievement pointer, and describes operator acknowledgments that must ...
Thus, it is a significant me for managing batteries to concentrate on developing a cloud-based battery for mana batteries based on an intelligent system that employs a machine-learning technique ble of ...
doi:10.3390/app11219820
fatcat:kawh4um7trdtrl3z3zouugvkya
Security Threats and Artificial Intelligence based Countermeasures for Internet of Things Networks: A Comprehensive Survey
2021
IEEE Access
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Among various rule-based ML techniques, FL, Fuzzy Neural Network (FNN), Neuro-Fuzzy Inference System (NFIS), etc., are more popular. ...
TABLE 4 . 4 Artificial Intelligence techniques for threat countermeasure Type
Algorithm
Description
Rule based
FL
FL provides a set of rules to govern a decision for making a system based on linguistic ...
For more information, see https://creativecommons.org/licenses/by-nc-nd/4.0/ ...
doi:10.1109/access.2021.3089681
fatcat:fatpywnjzzfilidakyduz6qz44
Human being emotion in cognitive intelligent robotic control. Pt.I: Quantum/ soft computing approach
2019
System Analysis in Science and Education
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In particular case, the aim of this part is to demonstrate the possibility of classifying the mental states in on line of a human being operator with knowledge extraction from electroencephalograms based ...
a human being operator shown. ...
The general approach for forming a lookup-table with GA and the fuzzy classifier system based on FNN. ...
doi:10.37005/2071-9612-2019-4-87-131
fatcat:swpe36e3hjdidcenqhyq5mgnii
Mobile Health in Remote Patient Monitoring for Chronic Diseases: Principles, Trends, and Challenges
2021
Diagnostics
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We followed the (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) PRISMA, which is a standard methodology for systematic reviews and meta-analyses. ...
RPM systems are based on the collection of patient vital signs extracted using invasive and noninvasive techniques, then sending them in real-time to physicians. ...
., rule-based classifier, non-linear classifier, instance-based classifier, tree-based classifier, etc.) to analyze patient's medical records and predict mortality among them. ...
doi:10.3390/diagnostics11040607
pmid:33805471
pmcid:PMC8067150
fatcat:a42vma6mlfan3cqs5z7e2bs47a
A Review of Intrusion Detection Systems and Their Evaluation in the IoT
[article]
2021
arXiv
pre-print
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In this article, we review works on IDS specifically for these kinds of devices from 2008 to 2018, collecting a total of 51 different IDS papers. ...
The specifics of these very constrained devices render the design of an IDS capable of dealing with the varied attacks a very challenging problem and a very active research subject. ...
Summerville et al. (2015) [79], propose a deep packet anomaly inspection that can operate on constrained embedded devices. Their approach can run both on the network stack or at the device level. ...
arXiv:2105.08096v1
fatcat:5gzpin2jxnajnema34pn744gry
A comprehensive review on hybrid electric vehicles: architectures and components
2019
Journal of Modern Transportation
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As a result, battery is protected and the
[130]. A rule-based control algorithm was proposed to energy flow can be effectively controlled. ...
Li J, Fu Z, Jin X (2017) Rule Based energy management strat- ultracapacitor hybrid energy storage system (HESS). ...
doi:10.1007/s40534-019-0184-3
fatcat:s3edgtt6fvckxo2kcnmqocei5e
Trust-based recommendation systems in Internet of Things: a systematic literature review
2019
Human-Centric Computing and Information Sciences
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However, as far as we know, against the centrality of trust-based recommendation mechanisms in the IoT environment, there is no ambient study for investigating its techniques. ...
Taking into account the dynamic-heterogeneous characteristic of interconnected devices in IoT, demand for a trust model to guarantee security, authentication, authorization, and confidentiality of connected ...
The shortcoming of this model is indispensable domain experts' assistance for adopting fuzzy rules and knowledge incorporation based on input and output parameters. ...
doi:10.1186/s13673-019-0183-8
fatcat:ckozm3ixungbvpc37agoxc5arm
Machine learning-based edge-computing on a multi-level architecture of WSN and IoT for real-time fall detection
2020
IET Wireless Sensor Systems
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Also, the online classification on the Fog device reached an accuracy of 94.42% using the SVM classifier. ...
Nevertheless, the trend of movement and the implementation of computer intelligence in intelligent devices ensure an intelligent and convenient method for continuous realtime telemonitoring of health conditions ...
Moreover, in this work, the trained models are intended to be embedded in the Fog device for online classification. ...
doi:10.1049/iet-wss.2020.0091
fatcat:fpr7q6456fa2jevpchgzxy67fi
A Survey on Modality Characteristics, Performance Evaluation Metrics, and Security for Traditional and Wearable Biometric Systems
[article]
2019
arXiv
pre-print
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However, prior to engaging in WBS research, how their operational dynamics and design considerations differ from those of Traditional Biometric Systems (TBS) must be understood. ...
Biometric research is directed increasingly towards Wearable Biometric Systems (WBS) for user authentication and identification. ...
Score-level fusion techniques namely, SVMs, likelihood ratio-based fusion, and sum rule-based method preceded by normalization, were analyzed for their performance and accuracy for multimodal biometric ...
arXiv:1903.02548v1
fatcat:mkl32giawnb5lgornzq4w3ec74
Overview of Technical Specifications for Grid-Connected Microgrid Battery Energy Storage Systems
2021
IEEE Access
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Finally, a discussion of the islanded and black start operation results for time-based analysis and standard validation of a 3MW/9MWh BESS in a grid-connected MG at the Florida International University ...
In addition, a comprehensive review of the control strategies for battery equalization, energy management systems, communication, control of multiple BESSs, as well as a discussion on protection blinding ...
Although the per kW price for batteries has been on the decline, energy storage makes up about one-third of the system based MGs expenditure. ...
doi:10.1109/access.2021.3132223
fatcat:5qgbhufmhvb2rokxh2zvbtklim
Energy Management in Plug-in Hybrid Electric Vehicles: Recent Progress and a Connected Vehicles Perspective
2017
IEEE Transactions on Vehicular Technology
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Abstract-Plug-in hybrid electric vehicles (PHEVs) offer an immediate solution for emissions reduction and fuel displacement within the current infrastructure. ...
This paper presents a comprehensive analysis of EMSs evolution towards blended mode and optimal control, providing a thorough survey of the latest progress in optimization-based algorithms. ...
This strategy is still based on pre-defined rules which are implemented in a map-based format allowing for a wider margin of improvement. ...
doi:10.1109/tvt.2016.2582721
fatcat:ordeiwifrzg7bbzjtimtn5p4kq
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