Top Research Papers on Embedded Systems

A further feature of vertexon limits is that they provide a form of node population density which extends the local agent population aspect of embedded GMFG systems.

This work will focus on optimizing design metrics and discussing the three key technologies that underpin embedded system development.

The article introduces fuzzing techniques for embedded systems and the fuzzing differences for desktop and embedded systems, and collects state-of-the-art technologies and discusses their advantages and disadvantages.

Gate Diffusion input a new technique of designing low-power digital combinational circuit that allows implementation of a wide range of complex logic functions using only two transistors is described.

The main points include discussing novel applications of machine learning, optimising memory usage, designing hardware for machine learning accelerators that are efficient, and learning how to codesign hardware and software to get even better results in terms of energy efficiency, reliability, and performance.

The usage of WebAssembly in Embedded Systems is discussed with a real world case study that demonstrates the viability, before giving an outlook on open issues and upcoming work.

A novel approach, named PEP (short for Plug-in Embedding Pruning), to reduce the size of the embedding table while obviating a drop in accuracy and computational optimization and achieves strong recommendation performance while reducing 97-99% parameters.

This survey aims to provide a comprehensive overview of the state-of-the-art in this rapidly evolving field and serve as a useful resource for researchers and practitioners working in the area of recommender systems.

This survey provides a comprehensive review of embedding compression approaches in recommender systems and systematically organize existing approaches into three categories: low precision, mixed dimension, and weight sharing.

A graph induced embedding and its inverse, which include the previously introduced embeddings as special cases are proposed, which deepens the understanding of input design from a new viewpoint beyond the real domain and the frequency domain viewpoints.

Three aspects of methods and applications for deploying artificial intelligence technologies on embedded devices are introduced, including artificial intelligence algorithms and models on resource-constrained hardware, acceleration methods for embedded devices, neural network compression, and current application models of embedded AI.

The goal is to develop a physically separated Embedded Security-as-a-Service (ESaaS) function as a payload agnostic, updatable security manager for MOSA systems.

An in-depth study on the adoption of common attack mitigations on embedded devices finds that embedded devices largely omit both user-space and kernel-level attackMitigations, which may become a bigger threat in the upcoming IoT era.

BET is proposed, a novel method that generates table-level actions (i.e., embedding sizes for all users and items) that is guaranteed to meet pre-specified memory budgets that is powered by an action fitness predictor that efficiently evaluates each table-level action.

Clustered Embedding Learning (CEL) is a plug-and-play embedding learning framework that can be combined with any differentiable feature interaction model that is capable of achieving improved performance, especially for cold users and items, with reduced memory cost.

A permissioned blockhain framework that attains accountability within a system containing embedded devices that is a complementary approach to Byzantine fault tolerance, which is concerned with ensuring continued functioning of the system in the presence of Byzantine faults.

The proposed pedagogical framework of this design is of general value and can be adopted in other engineering courses with similar requirements of hands-on experience in distance learning.

It is shown that the suggested replacement improves the representation learning of the embedding layer by adding a semantic layer that can increase the overall performance of the normal embedding based recommenders.

ODAS, the Open embeddeD Audition System framework, is presented, which includes strategies to reduce the computational load and perform robot audition tasks on low-cost embedded computing systems.

This work shows that segmented stacks, combined with Rust, can guarantee memory safety without MMU or MPU, and allow memory to be dynamically allocated to per-task stacks and can improve memory efficiency when combined with proper scheduling.

This paper presents some basic types of code protection together with a hardware based implementation that can be easily applied for an appropriate level of cybersecurity in embedded projects.

This work presents the FPGA virtualization layer L4ReC that enables the shared usage of reconfigurable resources by several guest operating systems under consideration of the constraints given by embedded reconfiguring systems.

This paper shows how an arbitrary sequence can be mapped into another space as an attractive solution of a nonautonomous dynamical system and describes what exactly happens to the dynamics when exogenous noise perturbs continuously a local irreducible attracting set of a discrete-time autonomous dynamicals system.

This paper introduces CompartOS as a lightweight linkage-based compartmentalization model for high-end, complex, mainstream embedded systems, and builds on CHERI, a capability-based hardware architecture, to meet scalability, availability, compatibility, and fine-grained security goals.

This comprehensive review contributes to a deeper understanding of the intricate dynamics between embedded systems and the automotive industry, providing valuable insights for researchers, industry professionals, and policymakers navigating the ever-evolving landscape of smart and connected vehicles.

The ARES methodology and technologies are summarized, the experience of inserting them into DoD embedded systems is described, and the CSR methodology and associated technologies are described.

A Multiple Layers Feedback Framework of Embedded System Cybersecurity (MuLFESC) with nine layers of protection is proposed, with new metrics of risk assessment to enable cybersecurity practitioners to conduct an assessment of their systems with regard to twelve identified cybersecurity aspects.

This chapter discusses about the applications based on LabVIEW with a typical open embedded system such as Arduino, which user interface and procedure designed in LabVIEW can be easily built for experiments or prototype designs.

An embedded service model to represent embedded services in a versatile, elegant, and resource-friendly way is designed, including its communication protocol, the service registration procedure and the service management mechanism, and a linear service composition model is proposed.

This virtual roundtable collects the opinions from experts in efficient CV about the status of technologies and directions for future improvements as well as evaluating progress in competitions that compare different solutions using the same data sets.

Jetset is developed and implemented, a system that uses symbolic execution to infer what behavior firmware expects from a target device, and is demonstrated how Jetset-assisted rehosting facilitates fuzztesting, a common security analysis technique, on an avionics embedded system, in which a previously unknown privilege escalation vulnerability is found.

This work observes that many microcontrollers feature a debug interface through which a debug probe can set a limited number of hardware breakpoints, and uses these to extract partial coverage feedback even for uninstrumented binary code; and thus enables effective fuzzing for embedded systems through a generic, widespread mechanism.

This work defines a graph convolutional embedding layer for N-partite graphs that processes user-item-context interactions and constructs node embeddings by leveraging their relational structure and proposes a simple way for their seamless integration in modern deep learning RS architectures.

This comprehensive review sheds light on the transformative impact of embedded systems in medical devices within the USA on both the positive contributions and challenges associated with these technologies so that stakeholders can make informed decisions to further propel the integration of embedded systems for improved healthcare outcomes.

Jacdac supports a service-based abstraction for sensors/actuators at low cost and reasonable performance, with many benefits for prototyping: ease of use via the automated discovery of devices and their capabilities, substitution of same-service devices for each other, as well as high-level programming, monitoring, and debugging.

Certain recent papers suggest an approach to extending weight systems and graph invariants to arbitrary embedded graphs, which is based on the study of the corresponding Hopf algebra structures; this approach is described.

The proposed CPS offers a practical resource to advance ICPS development, comprehension, and experimentation in both educational and research settings and empowers users to overcome the complexities of ICPSs and contribute to the emerging fields of autonomous transportation and intelligent vehicular systems.

A low-cost system is proposed to classify skin cancer images using a cascade inference technique and the deep learning processing unit from Vitis-AI was considered in order to design very efficient accelerators in FPGA.

The use of automata theory can significantly improve the quality and efficiency of automated testing of embedded reconfigurable computing systems and provides a deeper analysis of the system and allows to detect and prevent potential problems that may arise during its operation.

The implementation steps involved in developing smart/cyber physical frameworks using embedded technology in industrial context are presented and integration of a Raspberry Pi enabled workstation with IoT-based industrial automation and wireless network communication standards used in IIoT embedded systems are discussed.

A novel approach for generating document embeddings using a combination of Sentence-BERT (SBERT) and RoBERTa, two state-of-the-art natural language processing models, which is able to capture more nuanced semantic relations within documents, leading to more accurate recommendations.

In this paper we study the combinatorics of free Borel actions of the group Zd on Polish spaces. Building upon recent work by Chandgotia and Meyerovitch, we introduce property F on Zd-shift spaces X under which there is an equivariant map from any free Borel action to the free part of X. Under further entropic assumptions, we prove that any subshift Y (modulo the periodic points) can be Borel embedded into X. Several examples satisfy property F including, but not limited to, the space of proper 3-colourings, tilings by rectangles (under a natural arithmetic condition), proper 2d-edge colouring...

The article describes the types of hardware attacks targeting embedded systems, countermeasures, and methods of modelling security threats and the analysis of the side channel and fault injection.

A comparison of micro cameras for video data acquisition found that Raspberry Pi Camera HD v2, Waveshare 16579, IMX477 and Logitech C922 can be used in conjunction with embedded systems, particularly in the system for detecting mechanical damage of airport lamps.

The present invention detects a fault in a function that is provided via hardware upon an apparatus having a variety of components, such as a CPU and an FPGA, capable of changing content to be processed at the application level.

In recent years, the growing demand for efficient and sustainable energy management has led to the development of innovative solutions for embedded systems. One such solution is the integration of hybrid nanogrid energy management systems into various applications. There are currently many energy management systems in different domains, such as buildings, electric vehicles, or even naval transport. However, an embedded nanogrid management system is subject to several constraints that are not sufficiently studied in the literature. Indeed, such a system often has a limited energy reserve and is...

: This paper gives an overview of the years of Valeo experience in deploying a Model Based System Engineering (MBSE) approach for mechatronic automotive embedded systems and products. The different stages are described initial studies, language and tool benchmarking up to the last returns of experience on industrial projects. Particular emphasis is put on describing the SysCARS methodology which gives, not only a precise mapping of System Engineering work items to SysML artefacts, but also the sequence of modeling activities to be performed. It is shown how the SySCARS methodology has been imp...

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ROBE is a simple fundamental approach in improving both cache performance and the variance of randomized hashing, which could be of independent interest in itself and is presented as a low memory alternative to embedding tables which provide orders of magnitude reduction in memory usage while maintaining accuracy and boosting execution speed.

NetVec is introduced, a novel multi-level framework for scalable un-supervised hypergraph embedding that can be coupled with any graph embedding algorithm to produce embeddings of hypergraphs with millions of nodes and hyperedges in a few minutes.