Conveners
Open Source Education and Research
- Lilia Sava (Technical University of Moldova)
Open Source Education and Research
- Răzvan Victor RUGHINIȘ (National University of Science and Technology POLITEHNICA Bucharest)
The domain of information and communication technology faces a challenge of integrating increasingly massive amounts of data. Despite significant progress in development of data management and exchange solutions (e.g., the FAIR principles for open data), information is often poorly managed, badly structured, and lacks context, complicating data integration. There’s a need for improved or new...
Literature is a fundamental landmark in a nation's identity, bringing together the creations written over time on the territory and in the language of each nation. To preserve this national literary heritage, all members of the community must have quick access to information about representative writers, their works, and the concepts, literary movements, and publications. Current work supports...
Accurate and robust localization is critical to the performance of autonomous mobile robots in complex environments, such as those encountered in international robotics competitions. Holonomic robots equipped with Mecanum wheels offer superior maneuverability but introduce significant localization challenges. Wheel slippage leads to rapid accumulation of odometric errors, while inertial...
Document digitization involves converting physical documents into editable digital text, a process that offers significant benefits such as preserving archives, enabling remote access, and simplifying content modification. Optical Character Recognition (OCR) technologies facilitate this transformation by extracting text from scanned or photographed document images. However, OCR accuracy can be...
Creating an application designed to assist professors is a genuine necessity across various disciplines. This paper introduces a platform for managing activities for a given subject. It possesses two primary functionalities: one for professors, who create activities and manage enrolled students, and another for students, who select their activities preferences according to the teacher's...
While large language models have revolutionized isolated coding tasks, they often fall short in managing the architectural complexity of large scale technical projects. This paper introduces HectorIDE, an AI powered platform designed to bridge this gap. Using project specifications as its foundation, HectorIDE automatically transforms high level requirements into detailed technical plans, a...
The Industrial Internet of Things (IIoT) has introduced an unprecedented diversity of communication protocols that interconnect devices, systems, and applications across complex industrial environments. From lightweight messaging frameworks such as MQTT and CoAP to well-established standards like DNP3, Modbus, and OPC UA, these protocols each bring distinct strengths—and their own limitations....
Jeopardy-style Capture-The-Flag (CTF) challenges play a central role in cybersecurity education and training; however, their creation remains a resource-intensive and technically demanding process. This paper investigates the capability of general-purpose large language models (LLMs)—specifically ChatGPT, Gemini, Copilot, Claude and DeepSeek—to automate the generation of CTF challenges. We...
Electricity production is one of the main sources of greenhouse gas emissions due to its large dependency on fossil fuels. In this context, the electricity required by residential and commercial buildings represents a large proportion of the total electricity demand. Although renewable energy sources have been extensively integrated in the energy grid, the energy is inefficiently used leading...
The emergence of 5G Standalone (5G SA) networks marks a paradigm shift towards fully autonomous network operations, wherein networks achieve self-configuration, self-healing, self-optimization, and self-evolution without human intervention. Driven by the escalating complexity of telecommunications services and infrastructure, this paper explores a novel architectural framework designed to...
This paper addresses key computational challenges inherent to the Gray-Scott reaction-diffusion model, such as memory hotspots and prolonged execution times, challenges that underscore the limitations of relying solely on CPU resources. To overcome these issues, a hybrid CUDA-aware MPI approach is proposed, leveraging the Kokkos library to effectively distribute computation across both CPU and...
