Category: 2023

Fish Shape Alignment Based on Deformable Shape Tracking Suite of Tools

Fish morphological feature extraction based on shape alignment is used to estimate the dimensions, detect malformations,…

Design and Implementation of Bone Wax Application Device

The basis of this research paper is a Diploma Thesis and presents the process of designing…

Towards a modular IoT device design and prototyping for the Sports domain

As the ever-growing demand of Internet of Things (IoT) devices continues, so does the necessity for…

High-Performance Design of SRT IP Blocks

The design and verification of three floating-point components (division, reciprocal, inverse square root), based on the…

Fractional-N Phase Locked Loop for Wi-Fi 6/6E With 135 mW Power Consumption and Spur Reduction Techniques

This paper presents a fractional-N phase locked loop (PLL) for Wi-Fi 6/6E applications in 28 nm…

Enhanced Safety Architecture with Fault Preventive Mechanisms for Automotive Li-ion Battery Management Systems

Compliance of electric vehicle (EV) Battery Management Systems (BMS) with func-tional safety standard ISO 26262 is…

Energy Efficient ML Accelerator using a Decoupled Vector Engine and a Systolic Array attached to a Low-Cost RISC-V Scalar Core

The widespread proliferation and adoption of ML models has triggered the need to accelerate them directly…

Light Bulb control with DNN based voice user interface – the journey to design it

The purpose of a design journey is to show, in a demonstrative way, how to incorporate…

Enabling Grid Resilience and Efficiency – EDGE Device for Power Grid analysis and Asset Monitoring

The integration of renewable energy sources (RES) into power distribution grids is crucial for achieving global…

Federated transformers for non-intrusive load monitoring in heat pumps

Edge intelligence, i.e., the execution of Machine Learning (ML) algorithms in computing resources at the edge,…

Emerging Tech Conference Edge Intelligence is organized within the framework of the HCCC project, supported by Chips JU and its members, and is co-funded by European Union and the Greek Government via the “Competitiveness” Programme.