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Helmet Wearing Detection for Riders Safety
2021
International Journal for Research in Applied Science and Engineering Technology
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The system implements machine learning and image processing techniques to detect riders, riding two-wheeler, who are wearing helmets. ...
Thus most of the countries mandate the use of the helmets for two-wheeler riders. In order to discourage this behavior police force has been made for traffic to issue violation ticket. ...
Support Vector Machines Algorithm It is a supervised machine learning algorithm that can be used for both regression and classification. ...
doi:10.22214/ijraset.2021.37254
fatcat:darwdh4szzh55igvou37fughjm
Smart Road Accident Detection using IoT Application
2019
SMART MOVES JOURNAL IJOSCIENCE
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Road accidents rates are very high nowadays, especially two wheelers. Timely medical aid can help in saving lives. ...
The proposed framework automatically learns feature representation from the spatiotemporal features of pixel intensity. We consider the accident of the vehicles as an unusual incident. ...
., [10] developed a methodology for riding patterns recognition based on a machine learning framework. ...
doi:10.24113/ijoscience.v5i6.241
fatcat:svlwiaa2xvf5lbxdnzrwwcmc4u
TinyML-Based Fall Detection for Connected Personal Mobility Vehicles
2022
Computers Materials & Continua
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Thereby, taking advantage of a connected personal mobility vehicle, we present a novel on-device Machine Learning (ML)-based fall detection system that analyzes data captured from a range of sensors integrated ...
We have generated and publicly released a large dataset, including real riding measurements and realistically simulated falling events, which has been employed to produce different TinyML models. ...
The presented system uses signal processing and a pattern recognition algorithm to discriminate between falls and other events, gathering training data by mimicking falls using human dolls. ...
doi:10.32604/cmc.2022.022610
fatcat:2bhjskx7hvdl5hdjltnny3qiry
Table of contents
2019
2019 International Conference on Automation, Computational and Technology Management (ICACTM)
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learning techniques in software reliability: A framework
Manu Banga, Abhay Bansal, Archana Singh
Paper id 300
241
8
Agile Data Mining Approach for Medical Image Mining
Reetika Koli, Ritu Pal, ...
Array using Gysel Power Divider
Pratistha Brahma, Banani Basu
Paper id 025
441
8
Secondary Frequency Control of a Multi-area Power System Integrated with Plug-in
Electric Vehicles and Renewable ...
doi:10.1109/icactm.2019.8776757
fatcat:i3f2ft3ftvbkxg6au7ohcf6uom
A Comprehensive Review on the Behaviour of Motorcyclists: Motivations, Issues, Challenges, Substantial Analysis and Recommendations
2022
International Journal of Environmental Research and Public Health
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The filtration process consisted of two stages that were implemented on the collected articles. ...
a questionnaire. ...
two-wheelers; SLR: a systematic review; NA: Not Available; AI: Artificial Intelligence. ...
doi:10.3390/ijerph19063552
pmid:35329238
pmcid:PMC8950571
fatcat:zep7sjvmifgk7kkq3lj6x3giv4
Biomimicry Approach Adapted From The Fundamentals Of Design Development Process
2021
Journal of Creative Practices in Language Learning and Teaching (CPLT)
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Finally, the findings demonstrated how nature may be used as a tool of research to break down barriers between natural science and engineering disciplines, notably in the domain of design. ...
As a result, researchers and designers began to aspire to nature as a problem solver in their conceptual design. ...
acknowledge Universiti Teknologi MARA (UiTM), Technology, Sciences, Social Sciences and Humanities International Conference 2021: The Virtual Series (TeSShi) and The Journal of Creative Practices in language Learning ...
doi:10.24191/cplt.v9i2.16443
fatcat:kbq2n6lg7bb3jbn5lemedlv2bi
Scanning the Issue
2021
IEEE transactions on intelligent transportation systems (Print)
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This is a two-stage processing framework composed of a region proposal network and a convolutional capsule network. ...
Deep learning has emerged as a prominent class of techniques for autonomous driving. This article reviews the stateof-the-art techniques using deep neural networks to control autonomous vehicles. ...
Two simple machine learning algorithms, random forest (RF) and gradient boosting machine (GBM), were employed to this end. ...
doi:10.1109/tits.2021.3052540
fatcat:wvccn3i32jdaxoov6mibk2tlku
Parallel Distributed Processing at 25: Further Explorations in the Microstructure of Cognition
2014
Cognitive Science
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This paper introduces a special issue of Cognitive Science initiated on the 25th anniversary of the publication of Parallel Distributed Processing (PDP), a two-volume work that introduced the use of neural ...
Looking to the future, we consider the implications for cognitive science of the recent success of machine learning systems called "deep networks"-systems that build on key ideas presented in the PDP volumes ...
Such findings have motivated the appeal to some process other than incremental learning, such as the "discovery" of a past-tense rule that "over-rides" the correct response the child had previously learned ...
doi:10.1111/cogs.12148
pmid:25087578
fatcat:yv3hlvvfv5fqvl7izatvrlftry
Practice of manufacturing strategy: Evidence from select Indian automobile companies
2001
International Journal of Production Research
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A framework for manufacturing strategy is also proposed based on experiences of the case companies. ...
Although the companies represented a diversity in terms of sales volume, product range and geographic location, they shared several commonalties including use of advanced manufacturing technologies and ...
A framework for manufacturing strategy Based on the learning of the case study, a model framework is proposed depicted in ® gure 4: . ...
doi:10.1080/00207540110040448
fatcat:f4z3tupbind63iy4beboyfiha4
Personalized travel mode detection with smartphone sensors
2017
2017 IEEE International Conference on Big Data (Big Data)
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It takes smartphone sensor data as the input, and aims to identify six travel modes: walking, jogging, bicycling, driving a car, riding a bus, taking a subway. ...
alternative with its ever-growing computing, networking, and sensing powers. ...
They focused on two-wheeler and three-wheeler classification with a threshold-based heuristic. However, no pedestrian, cyclist, or subway is considered in that work. ...
doi:10.1109/bigdata.2017.8258065
dblp:conf/bigdataconf/SuYHLT17
fatcat:lfiv7ufbgba7vgq36tetije43q
2021 Index IEEE Internet of Things Journal Vol. 8
2021
IEEE Internet of Things Journal
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Sharif, A., +, JIoT Dec. 15, 2021 17495-17507 Securing IoT Devices Using Dynamic Power Management: Machine Learn-ing Approach. ...
Li, Q., +, JIoT Dec. 1, 2021 16946-16962 Securing IoT Devices Using Dynamic Power Management: Machine Learning Approach. ...
doi:10.1109/jiot.2022.3141840
fatcat:42a2qzt4jnbwxihxp6rzosha3y
Emerging technologies enabling the digital transformation of motor insurance in India
2020
Indian Journal of Science and Technology
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Data is very critical to decision-making and using technologies like telematics, machine learning & artificial intelligence, the insurers can draw better inferences from data to make decisions with an ...
We have used the survey findings of the Boston Consulting Group (BCG) and Federation of Indian Chambers of Commerce and Industry (FICCI) covering 3300 internet customers through a representative sample ...
Machine learning algorithms can help in designing a product, planning sales, providing services, and settling claims. ...
doi:10.17485/ijst/v13i45.1846
fatcat:7kv4lbshg5cjro7w3ds3kukmwu
Multi-Modal Data Fusion in Enhancing Human-Machine Interaction for Robotic Applications: A Survey
[article]
2022
arXiv
pre-print
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2022 pre-print arXiv:2202.07732v1 fatcat:4z4auvpvqrcn5ea4ijwkkuyewi
Therefore, there is a need to develop interactive systems that could replicate a more realistic and easier human-machine interaction. ...
The survey concludes with a summary of technologies in use for multi-modal systems. ...
If a system is designed along similar lines, it not only improves the capability of handling industrial robots but also makes life easier for the differently abled. ...
arXiv:2202.07732v2
fatcat:7om2tvpw7beuhckmr5rbypzbze
The Cybersemiotics and Info-Computationalist Research Programmes as Platforms for Knowledge Production in Organisms and Machines
2010
Entropy
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, a simulation in silico of a biological brain function, and Biosemiotics research on genes, information, and semiosis in which the process of semiosis is understood in info-computational terms. ...
Two research projects are presented in order to exemplify the interplay of info-computational and higher-order approaches: The Blue Brain Project where the brain is modeled as info-computational system ...
Generation of structures resulting from sensory processes (data), and information organized into knowledge to be used in decision making are built in a multiresolutional way, with many pattern recognition ...
doi:10.3390/e12040878
fatcat:4sy4qurearbvtdjb5fy5ixmn6y
Constructive Research and Info-computational Knowledge Generation
[chapter]
2010
Studies in Computational Intelligence
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Finally, foundations of Constructive Research are analyzed within the framework of Info-Computationalism which provides models of knowledge construction by information processing in a cognizing agent. ...
Analysis of Constructive Research Methods which are fundamental for all knowledge production and especially for concept formation, modeling and the use of artifacts is seldom given, so the relevant first-hand ...
Generation of structures resulting from sensory processes (data), and information organized into knowledge to be used in decision making are built in a multiresolutional way, with many pattern recognition ...
doi:10.1007/978-3-642-15223-8_20
fatcat:ofordzqf6jfiffi4j4wmzg3yti
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