2023 – Emerging Tech Conference Edge Intelligence

Proceedings & Highlights – Emerging Tech Conference Edge Intelligence 2023

hetia — Tue, 24 Feb 2026 16:45:38 +0000

This volume of the Emerging Tech Conference – Edge Intelligence Proceedings comprises 28 peer-reviewed full papers and 17 accepted posters presented at the 2nd Emerging Tech Conference – Edge Intelligence 2023 (ETCEI 2023), held on October, 19-20, 2023, at Thessaloniki, Greece. The conference was co-organized by the Hellenic Emerging Technology Industry Association (HETiA) and Aristotle University of Thessaloniki.

Autonomous Unmanned Ground Vehicle (UGV) In Smart Farming With A* Algorithm

hetia — Tue, 24 Feb 2026 16:23:04 +0000

Smart farming is a popular agricultural concept that uses modern technology to optimize agricultural operations, increase efficiency, and enhance crop yields. Finding the most effective and ideal approach for different agricultural chores such as planting, irrigation, and harvesting using algorithms and embedded systems is one of the core issues in smart farming. In robotics, the A* algorithm is a popular pathfinding technique. To effectively discover the shortest route, the A* is well-suited for tackling the pathfinding issue in smart farming methods. Here, we focus our research on improving the well know A*. Specifically, we investigate how the A* algorithm might be modified to solve particular agricultural difficulties, such as travelling over unevenly shaped fields and avoiding obstacles. The research also looks at selecting appropriate heuristic functions for the A* algorithm, which may provide more efficient routes for various agricultural tasks. This paper demonstrates the effectiveness and benefits of using the proposed A* algorithm in smart farming applications through extensive simulations and real-world case studies. The results show significantly improved overall efficiency compared to the traditional A* algorithm.

Comparing the Performance of Cameras and SW packets for the Cloud Coverage Process in Photovoltaic (PV) Parks

hetia — Tue, 24 Feb 2026 16:19:05 +0000

The clouds’ position in the sky, their creation, movements and dissipation have a significant impact on the energy produced in photovoltaic (PV) parks. To improve the power supply and the grid balance, the sky cameras will provide the images of the sky and edge computing devices will estimate the clouds’ coverage in the sky and consequently compute the upper amount of energy that can be produced. For the execution of these processes the PV plants depend on systems of considerable cost that include the cameras and the supporting software most often executed on edge computing devices. The requirements for extreme weather conditions of these application specific cameras and their supporting hardware and software lead to high-cost figures. These facts decrease the efficiency defined as the results accuracy over the system’s cost. Aiming at efficient solutions in the course of developing a PV park controller [1], the current study presents and compares the results of applying a cloud coverage process on systems with cameras of different cost and specifications. Moreover, it proposes an effective image segmentation technique for the cloud coverage executed on edge devices and it compares its accuracy to that of commercially available software. The comparison analyzes the differences in the accuracy results of three system configurations using each of two different cameras and either the proposed cloud segmentation algorithm or the commercial software. The real time performance of the proposed system algorithmic techniques on the edge-oriented NVIDIA Jetson Nano [2] validates the techniques.

Advanced Monitoring System of Industrial Refrigeration (ADMOSIR)

hetia — Tue, 24 Feb 2026 16:15:53 +0000

The food supply chain industry often uses large scale industrial refrigeration systems with high installation and maintenance cost. In the same time, there are no permanent installations of systems that will monitor the parameters of the refrigeration systems and predict a malfunction (e.g. cooling fluid leak) or even improve the efficiency in order to reduce its power consumption. For example, a refrigeration system that contains 1500kg of cooling fluid will need 7500€ more electrical power if its efficiency drops by only 10% due to fluid leak.

Implementation of a Beehive Health Monitoring System Based on Sound

hetia — Tue, 24 Feb 2026 16:13:54 +0000

A beehive monitoring system was implemented for monitoring the internal and external conditions of the hive, as well as detecting beekeeping phenomena, like swarming, queen bee’s absence and arrhenotoky, based on the acquired sound

An Audio Fingerprinting Approach based on the 2DFT for Byzantine Hymn Recognition

hetia — Tue, 24 Feb 2026 16:07:59 +0000

An audio fingerprinting technique is proposed, in this work, for the challenging task of Byzantine hymn recognition. This approach involves the extraction of speed and scale invariant fingerprints, which is crucial to the characteristics of the application, as well as an evaluation process in order to reliably match a query to the correct hymn of the database.

IDEAN Neurosciences Education Platform

hetia — Tue, 24 Feb 2026 16:02:37 +0000

The objective of this project is the development and integration of the IDEAN Platform, an online educational platform that provides personalized education in Integrative Neuroscience at the secondary and tertiary levels of education, both undergraduate and postgraduate. The platform encompasses a large volume of information related to the aforementioned knowledge domain, with English as the base language. Dissemination of the information is achieved through a variety of cutting-edge online audiovisual media and a range of educational approaches and tools. The aim of the project is to facilitate the learning of these fields using a modern and interactive approach, enabling users to acquire theoretical and practical knowledge in the available areas of study.

SmartGlove Cloud Platform for Parkinson’s Patients Data Collection & Analysis

hetia — Tue, 24 Feb 2026 15:58:13 +0000

Parkinson’s disease is a neurodegenerative disorder that affects millions of individuals worldwide. To aid in the diagnosis, monitoring, and treatment of Parkinson’s patients a comprehensive platform has been developed, comprising a characterized database and a user interface (UI) for data access, visualization, and monitoring. The platform utilizes sensor signal recordings acquired using a smart glove for the automatic assessment of the patients’ motor status.

Rapid virtual prototyping of battery storage systems

hetia — Tue, 24 Feb 2026 15:56:56 +0000

With this work we present the current approach into virtual prototyping of battery storage systems with MATLAB-Simscape. We show the robustness and effectiveness of the approach as well as the easiness to implement. Multiple components of the battery can be modeled this way and we show that even complicated behavior can be observed. A SOLIDWORKS design provides a more detailed approach to the battery design.

S2W-Med Health Status Monitoring

hetia — Tue, 24 Feb 2026 15:55:10 +0000

It is common for patients who suffer from chronic health problems or are in a period of recovery to need constant monitoring of their body’s vital signs by their personal doctor. Such a situation is time-consuming and costly for both the patient and the attending physician. S2W-Med that is presented in this paper is a system for monitoring patient’s vital signs in a home environment. Its purpose is to gather the measurements from a group of medical devices so the attending physician has the results available in real time.