Publications (193)
ARTICLE
5G NR Uplink Performance Optimization A Comprehensive Study on PRACH and PUSCH Interference Management
Désiré Guel, P. Justin Kouraogo, Flavien Hervé Somda, Boureima Zerbo, Oumarou Sié
The evolution of 5G New Radio (NR) technology offers unprecedented speeds, ultra-low latency, and the capability to connect billions of devices. However, these advancements come with significant challenges, particularly in managing interference during uplink communication. This study presents a comprehensive investigation into the optimization(...)
5G-NR , Physical Random Access Channel (PRACH), PUSCH, Intra/Inter-Cell Interference, Quality of Service (QoS), Block Error Rate (BLER)
ARTICLE
Revisiting the Non-Determinism of Code Generation by the GPT-3.5 Large Language Model
Salimata Sawadogo, Aminata Sabané, Rodrique Kafando, Tegawendé F. Bissyandé
Despite recent advancements in Large Language Models (LLMs) for code generation, their inherent non-determinism remains a significant obstacle for reliable and reproducible software engineering research. Prior work has highlighted the high degree of variability in LLM-generated code, even when prompted with identical inputs. This non-determini(...)
LLM, TOT, GPT
ARTICLE
IoT Devices Security Improvement Based on Collaborative Intrusion Detection System and Blockchain Technology
Yempabou Yves Stéphans Loari; Didier Bassole; Leonard M. Sawadogo; Gouayon Koala; Oumarou Sié
IoT is one of today's major growth areas. With its low computing power and massively exchanged heterogeneous data, it is vulnerable to numerous at-tacks. In this paper, we proposed a collaborative system based on hybrid intrusion detection and blockchain technology to improve IoT devices security. Thus, we simulated a federated learning using(...)
IoT security, federated learning, CIDS, Blockchain
ARTICLE
Création d’une carte de connaissances à partir d’un graphe de connaissance d’activités 2025
Orlane SONKENG TSAFACK, Serge SONFACK SOUNCHIO, Marthe Désirée Olivia HABACK, Adama ARAMA, Halguièta TRAWINA, Ho Tuong Vinh
La gestion des connaissances produites au sein des organi- sations est capitale pour leur développement et les graphes de connaissance d’activités sont utilisés à cet effet. Ils per- mettent de réutiliser ces connaissances pour résoudre des problèmes ou prendre des décisions. Cependant, la réuti- lisation des graphes de connaissance d’activité(...)
Graphe de connaissances, Graphe de connaissance des ac- tivités, Carte de connaissances
ARTICLE
Détection de communautés dans les graphes de connaissance d’activités 2025
Marthe Désirée Olivia HABACK, Serge SONFACK SOUNCHIO, Orlane SONKENG TSAFACK, Halguièta TRAWINA, Ho Tuong Vinh
La gestion des connaissances produites au cours des activités au sein des organisations joue un rôle important dans leur développement et leur succès. La formalisation de ces connaissances sous forme de graphe de connaissance d’activités (Activity Knowledge Graph : AKG) permet de représenter et de réutiliser ces connaissances pour résoudre des(...)
Graphe de connaissance, graphe de connaissance d’activité, détection de communauté, algorithme de Louvain
ARTICLE
Beyond Syntax: Testing LLM Semantic Understanding of Code
Aminata Sabané, Tegawendé F. Bissyandé
While Large Language Models (LLMs) have shown promise in various software engineering tasks, their deep understanding of code semantics remains a challenging area. This paper introduces a novel methodology to probe the semantic understanding of LLMs by subjecting them to a rigorous test: identifying trivial equivalent mutations in C code gener(...)
LLM, code understanding, mutation equivalence
COMMUNICATION
Data Search in Smart GIS Database using Map Reduce Pattern and Bayesian Probability
Moubaric Kabore, Abdoulaye Sere, Vini Yves Bernadin Loyara
This paper deals with Bayesian approach in Data Research in GIS database through artificial Intelligence (AI) modules, reading the best bayesian probability before returning the data requested, denoted AI4DB. The proposed method combines meshing techniques and the map-reduce algorithm with Bayesian approach to obtain a smart GIS database to re(...)
MapReduce, GIS, Bayesian Probability
ARTICLE
Cross-Analysis of Social Media Opinions in a High-Security Challenge Context
Zombre Payiri Gregoire Wenceslas; Traore Yaya; P. Justin Kouraogo
This study aims to develop an approach for cross-analyzing public opinions on security issues in Burkina Faso, as expressed on social media platforms. We implemented a methodology combining web scraping, API calls, and large language models (LLMs) to collect and analyze data from Fasonet [1], Burkina24 [2] and YouTube [3]. The experiment invol(...)
Social media analysis , Opinion mining , Sentiment analysis , Large Language Models (LLMs) , Cross-platform analysis
ARTICLE
Text-to-OWL: Automated Ontology Construction for Tuberculosis Treatment Recommendation using Generative AI
OUÉDRAOGO Zonabo, TAPSOBA Lydie Simone, SABANE Aminata, BISSYANDE T François
his paper presents an automated approach for building ontologies to improve treat-
ment recommendations for tuberculosis (TB), in particular multidrug-resistant tuberculosis (MDR-
TB) cases in Burkina Faso, using generative language models such as GPT-3. The aim is to
facilitate the personalization of treatments according to the patient pro(...)
Tuberculosis · Generative AI · Ontologies · Medical Decision Support Systems · Text-to-Ontology
ARTICLE
Towards a Framework for the Preparation of High Quality Data for Use by Machine Learning Algorithms
Nabi, R., Traoré, Y., Thiombiano, J.
Nowadays, companies and organizations have access to various data collection tools that enable them to amass vast amounts of data, which can be stored in databases. This data can be leveraged by machine learning algorithms to extract valuable information for decision-makers. However, this raw data is often of poor quality, containing errors su(...)
data preparation,
ARTICLE
Channel Prediction for MAC Optimization in VANET, FANET Software Defined Radio Platform
Pegdwindé Justin Kouraogo, Hamidou Harouna Omar, Désiré Guel
This work addresses the critical challenge of ensuring reliable communication in vehicular ad hoc networks (VANETs) and drone networks (FANETs) under dynamic and high-mobility conditions. Current methods often fail to adequately predict rapid channel variations, leading to increased packet loss and degraded Quality of Service (QoS). To bridge(...)
Prediction, Cross-Layer, Multiuser Detection, Packet Error Rate, Goodput
ARTICLE
Impact of Interference and Mobility on MAC Layer Performance in VANETs, FANETs
Pegdwindé Justin Kouraogo, Hamidou Harouna Omar, Désiré Guel
Vehicular Ad Hoc Networks (VANETs) play a pivotal role in advancing Intelligent Transportation Systems (ITS), facilitating real-time communication among vehicles and infrastructure. However, VANETs face challenges arising from high mobility, dynamic topologies, and significant interference levels. This study proposes a novel cross-layer framew(...)
VANET, Cross-Layer Design, Channel Prediction, QoS Optimization, Interference Management, Mobility Models
ARTICLE
Medium Access Control QoS Analysis in VANET, FANET Software Defined Radio Platform
Pegdwindé Justin Kouraogo, Hamidou Harouna Omar, Désiré Guel
Vehicular Ad Hoc Networks (VANETs) are critical for the advancement of Intelligent Transportation Systems (ITS), enabling real-time vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communications. However, ensuring Quality of Service (QoS) in VANETs is challenging due to high mobility, dynamic topologies, and interference. This stu(...)
VANET, Medium Access Control (MAC), Quality of Service (QoS), Software-Defined Radio (SDR), Mobility, Intelligent Transportation Systems (ITS)
ARTICLE
Medium Access Control Rate Optimization in VANET, FANET Software Defined Radio Platform
Pegdwindé Justin Kouraogo, Hamidou Harouna Omar, Désiré Guel
Vehicular Ad Hoc Networks (VANETs) play a pivotal role in the advancement of Intelligent Transportation Systems (ITS), facilitating real-time communication among vehicles (V2V) and between vehicles and infrastructure (V2I). However, maintaining reliable Quality of Service (QoS) in these dynamic environments remains challenging due to high mobi(...)
VANET, Medium Access Control (MAC), Cross-Layer Design, Quality of Service (QoS), Software-Defined Radio (SDR), Intelligent Transportation Systems (ITS)
ARTICLE
Performance analysis of SDN controllers in various network topologies
Rolph Abrahan Yao, Ferdinand Tonguim Guinko
Software Defined Network (SDN) is a growing concept. It allows separating the control layer from the data layer, making the network programmable, and having a centralized view and management of the network. A high-performance controller is essential for efficient traffic management in SDN as it allows controlling and monitoring the entire netw(...)
SDN, controllers, Floodlight, ONOS, OpenDaylight, Ryu, mininet, bandwidth, packet transmission rate, round-trip time, throughput, jitter