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Keyword: CodingCoding: First Steps from Kindergarten up to Primary School
by Elisa Benetti and Gianluca Mazzini
Journal of Engineering Research and Sciences, Volume 2, Issue 3, Page # 16-30, 2023; DOI: 10.55708/js0203002
Abstract: Computational thinking is now featured in many school curricula around the world. It is in fact defined as the "new English", emphasizing its universally recognized indispensability. Despite this, the subject is almost never addressed until primary school where, however, hours dedicated to it are often too limited. Our first training proposal, including basic coding concepts… Read More
(This article belongs to the Special Issue on SP2 (Special Issue on Computing, Engineering and Sciences 2022-23) and the Section Education and Educational Research (EER))
CANClassify: Automated Decoding and Labeling of CAN Bus Signals
by Paul Ngo, Jonathan Sprinkle and Rahul Bhadani
Journal of Engineering Research and Sciences, Volume 1, Issue 10, Page # 5-12, 2022; DOI: 10.55708/js0110002
Abstract: Controller Area Network (CAN) bus data is used on most vehicles today to report and communicate sensor data. However, this data is generally encoded and is not directly interpretable by simply viewing the raw data on the bus. However, it is possible to decode CAN bus data and reverse engineer the encodings by leveraging knowledge… Read More
(This article belongs to the Special Issue on SP1 (Special Issue on Multidisciplinary Sciences and Advanced Technology 2022) and the Section Interdisciplinary Applications – Computer Science (IAC))
Images Compression using Combined Scheme of Transform Coding
by Zainab Jawad Ahmed, Loay Edwar George and Raad Ahmed Hadi
Journal of Engineering Research and Sciences, Volume 1, Issue 9, Page # 8-14, 2022; DOI: 10.55708/js0109002
Abstract: Some problems want to be solved in image compression to make the process workable and more efficient. Much work had been done in the field of lossy image compression based on wavelet and Discrete Cosine Transform (DCT). In this paper, an efficient image compression scheme is proposed, based on a common encoding transform scheme; It… Read More
(This article belongs to the Special Issue on SP1 (Special Issue on Multidisciplinary Sciences and Advanced Technology 2022) and the Section Interdisciplinary Applications – Computer Science (IAC))
Machine-Learning based Decoding of Surface Code Syndromes in Quantum Error Correction
by Debasmita Bhoumik, Pinaki Sen, Ritajit Majumdar, Susmita Sur-Kolay, Latesh Kumar KJ and Sundaraja Sitharama Iyengar
Journal of Engineering Research and Sciences, Volume 1, Issue 6, Page # 21-35, 2022; DOI: 10.55708/js0106004
Abstract: Errors in surface code have typically been decoded by Minimum Weight Perfect Matching (MWPM) bas -based Machine Learning (ML) techniques have been employed for this purpose, although how an ML decoder will behave in a more realistic asymmetric noise model has not been studied. In this article we (i) establish a methodology to formulate the… Read More
(This article belongs to the Special Issue on SP1 (Special Issue on Multidisciplinary Sciences and Advanced Technology 2022) and the Section Applied Mathematics (APM))
Neural Synchrony-Based State Representation in Liquid State Machines, an Exploratory Study
by Nicolas Pajot and Mounir Boukadoum
Journal of Engineering Research and Sciences, Volume 2, Issue 11, Page # 1-14, 2023; DOI: 10.55708/js0211001
Abstract: Solving classification problems by Liquid State Machines (LSM) usually ignores the influence of the liquid state representation on performance, leaving the role to the reader circuit. In most studies, the decoding of the internally generated neural states is performed on spike rate-based vector representations. This approach occults the interspike timing, a central aspect of biological… Read More
(This article belongs to the Special Issue on SP4 (Special Issue on Computing, Engineering and Sciences 2023-24) and the Section Neurosciences (NES))