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Helmet Wearing Detection for Riders Safety

Shobha Rani
2021 International Journal for Research in Applied Science and Engineering Technology  
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

Shubham Mathur, Karishma Verma, Aayushi Priya
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

Ramon Sanchez-Iborra, Luis Bernal-Escobedo, Jose Santa, Antonio Skarmeta
2022 Computers Materials & Continua  
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)  
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

Sarah Najm Abdulwahid, Moamin A. Mahmoud, Bilal Bahaa Zaidan, Abdullah Hussein Alamoodi, Salem Garfan, Mohammed Talal, Aws Alaa Zaidan
2022 International Journal of Environmental Research and Public Health  
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

Muhammad Faiq Hilmi Mohamad Zamberi, Azhari Md Hashim
2021 Journal of Creative Practices in Language Learning and Teaching (CPLT)  
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

Azim Eskandarian
2021 IEEE transactions on intelligent transportation systems (Print)  
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

Timothy T. Rogers, James L. McClelland
2014 Cognitive Science  
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

G. S. Dangayach, S. G. Deshmukh
2001 International Journal of Production Research  
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

Xing Su, Yuan Yao, Qing He, Jie Lu, Hanghang Tong
2017 2017 IEEE International Conference on Big Data (Big Data)  
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  
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

Manoj Pareek
2020 Indian Journal of Science and Technology  
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]

Tauheed Khan Mohd, Nicole Nguyen, Ahmad Y Javaid
2022 arXiv   pre-print
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

Gordana Dodig Crnkovic
2010 Entropy  
, 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]

Gordana Dodig Crnkovic
2010 Studies in Computational Intelligence  
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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