Edge Computing

A Comparative Study of Inference Frameworks for Node.js Microservices on Edge Devices

Deploying small language models (e.g., SLMs) on edge devices has become increasingly viable due to advancements in model compression and efficient inference frameworks. Running small models offers significant benefits, including privacy through on-device processing, reduced latency, and increased autonomy. This paper conducts a comparative review and analysis of Node.js inference frameworks that operate on-device. It evaluates frameworks in terms of performance, memory consumption, isolation, and deployability.

SIMULATION-BASED EVALUATION OF HYPERBOLIC SECANT POTENTIAL FIELD FOR REAL-TIME OBSTACLE AVOIDANCE

Obstacle avoidance is a fundamental capability for autonomous mobile robots, ensuring safe navigation in dynamic and unstructured environments. This paper presents a novel approach to real-time obstacle avoidance based on an Artificial Potential Field Method (APFM) utilizing a hyperbolic secant function. A mathematical formulation of the proposed model is developed and analyzed. To validate the approach, a simulation framework was implemented using ROS 2, the Gazebo simulator, and the TurtleBot3 Burger platform.

Computational evaluation of Laplace artificial potential field methods for real-time obstacle avoidance in Gazebo

the goal of this article is to present evaluation results for a proposed modification of the Artificial Potential Field Method (APFM). The mathematical model employs Laplace functions to compute repulsive fields to simplify calculations. Additionally, the study introduces a comprehensive evaluation framework using Gazebo and ROS2, designed to test various obstacle avoidance algorithms in simulated environments. Experiments have been conducted in a virtual room containing static obstacles of diverse shapes.

Software of Internet-Accessible Semiconductor Laboratory

The paper presents approaches for creating an automated internet-accessible semiconductor laboratory, specifically the control software system that ensures the internet accessibility of the laboratory. The functionality and structure of the software-hardware complex, developed with consideration of known solutions, are described, as well as its implementation options using the internet, cloud, and edge computing. Local implementation options with enhanced resilience to force majeure factors and cyber threats are also considered.

ANALYSIS OF METHODS AND TOOLS FOR DESIGNING EMBEDDED SYSTEMS OF THE INTERNET OF THINGS

The article analyzes the methods and tools for designing embedded Internet of Things (IoT) systems. The main stages of developing IoT systems are considered, the main design approaches are compared, and their advantages and limitations are identified. The analysis of hardware platforms, their characteristics, performance, energy efficiency, and applications in various fields is conducted. Considered Software tools and their effectiveness in developing IoT solutions.

EMBEDDED IOT PLATFORM FOR REMOTE TRAFFIC CONTROL IN SMART CITY IOT INFRASTRUCTURE

A justified hybrid multilevel approach to IoT infrastructure implementation is set to facilitate the achievement of a scalable IoT (Internet of Things) infrastructure, incorporating integration into cloud technologies and services. The localization of hardware-software traffic management means at the lower level of the IoT infrastructure, close to data collection devices, ensures the generation of control influences in real-time, and relieves communication channels at the higher levels of the IoT infrastructure architecture.