Wheel alignment detection with IoT embedded system

D’Mello, Grynal; Gomes, R. Pereira; Mascarenhas, Roston; Ballal, Shishir; Kamath, Vignesh; Lobo, Vivian Jude

doi:10.1016/j.matpr.2021.11.566

Cited by 5 publications

(3 citation statements)

References 7 publications

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“…Therefore, a vehicle must have a good wheel control system when turning or when the vehicle is moving straight (Kim & Lee, 2020). The wheel alignment process which includes checking the correct angle of the wheel is the main thing in the automotive field (D'Mello et al 2022). Wheel alignment checks must be done periodically on every vehicle (Sulaiman et al 2021)…”

Section: Analysis Phasementioning

confidence: 99%

Development of the Android-Based Mobile Application 'Mywheel Alignment' for Wheel Alignment Topics in Automotive Technology Courses at Vocational Colleges

Marjuni¹,

Azman²,

Mustofa³

et al. 2022

AJVAH

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This study was conducted to develop an android-based mobile application Mywheel Alignment for the topic of wheel alignment in the Automotive Technology course at the Vocational College. This study involves the approach of constructivism theory and cognitive theory of multimedia learning in the foundation of application construction to help create effective alternative learning features. The Mywheel Alignment application is a learning support resource that features the main multimedia elements such as text, graphics, animation, audio, and video to help improve mastery of the topic of wheel alignment interactively. Thus the design used is product development while the development process follows the ADDIE model which includes aspects of analysis, design, development, implementation, and evaluation. This study uses a qualitative design through a semi-structured interview method involving five experts who have experience and expertise to carry out the evaluation and determine the usability of the application. The data obtained from the interview results were analyzed using the content analysis method to construct codes and interview themes. The findings of the study show that all respondents agree on the pedagogy and curriculum of Automotive Technology, the use of language as well as multimedia and techniques used in the MyWheel Alignment application. Data analysis of students was also done by using a questionnaire to obtain feedback from real users involving 25 Automotive Technology Diploma students at the Vocational College. This android-based mobile concept learning application can provide benefits and added value to users in line with the advancement of educational technology to produce more quality Vocational College graduates towards meeting the needs of the industry in line with the vision and mission of the Malaysian Ministry of Education.

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Section: Analysis Phasementioning

confidence: 99%

Development of the Android-Based Mobile Application 'Mywheel Alignment' for Wheel Alignment Topics in Automotive Technology Courses at Vocational Colleges

Marjuni¹,

Azman²,

Mustofa³

et al. 2022

AJVAH

View full text Add to dashboard Cite

show abstract

“…The distinctive features of blockchain, such as immutability, transparency, autonomy, and anonymity are useful for many IoT-integrated systems, e.g., smart cities [ 2 , 3 , 9 , 12 , 110 ], e-healthcare [ 33 , 34 , 35 ], smart factories [ 24 , 25 ], and electronic vehicles [ 111 ], etc. However, IoT-based systems consist of different heterogeneous low-end devices, i.e., actuators, sensors, and smart communication devices.…”

Section: Challenges and Future Directionsmentioning

confidence: 99%

“…This sense of authority cannot only increase trust in the system but also ensure widespread adoption of the technology. On the other hand, the IoT is also a very competitive technology and is part of (or going to be part of) almost every big industry, such as smart homes [ 2 , 3 , 4 , 5 , 6 , 7 , 8 ], construction [ 9 , 10 , 11 ], smart grids [ 12 , 13 , 14 , 15 , 16 , 17 , 18 , 19 , 20 , 21 , 22 , 23 ], automated car manufacturing industries [ 24 , 25 ], supply chains [ 26 , 27 , 28 , 29 , 30 , 31 , 32 ], healthcare [ 33 , 34 , 35 , 36 , 37 , 38 ], the space industry [ 39 , 40 ], etc. If every industry is involved in IoT, then you may end up giving control of your home or health records (or any other domain) to a centralized authority, this will raise the issue of the central point of failure and place your total trust in this authority [ 41 ].…”

Section: Introductionmentioning

confidence: 99%

A Survey and Ontology of Blockchain Consensus Algorithms for Resource-Constrained IoT Systems

Khan

Hartog

2022

Sensors

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The basic properties of blockchain, such as decentralization, security, and immutability, show promising potential for IoT applications. The main feature—decentralization of blockchain technology—depends on the consensus. However, consensus algorithms are mostly designed to work in extensive computational and communication environments for network security and immutability, which is not desirable for resource-restricted IoT applications. Many solutions are proposed to address this issue with modified consensus algorithms based on the legacy consensus, such as the PoW, PoS, and BFT, and new non-linear data structures, such as DAG. A systematic classification and analysis of various techniques in the field will be beneficial for both researchers and industrial practitioners. Most existing relevant surveys provide classifications intuitively based on the domain knowledge, which are infeasible to reveal the intrinsic and complicated relationships among the relevant basic concepts and techniques. In this paper, a powerful tool of systematic knowledge classification and explanation is introduced to structure the survey on blockchain consensus algorithms for resource-constrained IoT systems. More specifically, an ontology was developed for a consensus algorithm apropos of IoT adaptability. The developed ontology is subdivided into two parts—CONB and CONIoT—representing the classification of generic consensus algorithms and the ones that are particularly proposed for IoT, respectively. Guided by this ontology, an in depth discussion and analysis are provided on the major consensus algorithms and their IoT compliance based on design and implementation targets. Open research challenges and future research directions are provided.

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Evaluation of an Improved Ultrasonic Imaging Helmet for Observing Articulatory Data

Li,

Wei,

Fang

et al. 2024

ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

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Wheel alignment detection with IoT embedded system

Cited by 5 publications

References 7 publications

Development of the Android-Based Mobile Application 'Mywheel Alignment' for Wheel Alignment Topics in Automotive Technology Courses at Vocational Colleges

Development of the Android-Based Mobile Application 'Mywheel Alignment' for Wheel Alignment Topics in Automotive Technology Courses at Vocational Colleges

A Survey and Ontology of Blockchain Consensus Algorithms for Resource-Constrained IoT Systems

Evaluation of an Improved Ultrasonic Imaging Helmet for Observing Articulatory Data

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