Publications (184)
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
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
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
ARTICLE
Activity knowledge graph (AKG)
Serge SONFACK SOUNCHIO, Halguieta TRAWINA, Baudelaire Ismael TANKEU NGUEKEU, Laurent GENESTE, Bernard KAMSU-FOGUEM
In today’s economy, organization knowledge and activity knowledge, in particular, are essential for organizations’ growth, enabling stakeholders to understand the complexities of their business, stay ahead in the competitive race, design innovative products and services, or make decisions that align with their goals. Within organization knowle(...)
Activityknowledge,Knowledgerepresentation,SemanticWeb,Activitytheory
ARTICLE
Design and Implementation of a Microtransaction System Using the Lightning Network for Financial Inclusion in Developing Countries
Windmi Jonathan Kabre, Pegdwindé Justin Kouraogo, Wendpanga Cedric Bere, Elisee Sare, Hamidou Harouna Omar
Bitcoin has gained widespread acceptance within the cryptocurrency community, and the Lightning network, an innovative and scalable extension of Bitcoin, is demonstrating remarkable advancements in electronic payments. The Lightning network addresses the historical criticisms of Bitcoin by facilitating rapid transfers at reduced costs, address(...)
Micropayment, Lightning Network, Mobile Money
ARTICLE
Towards a Chatbot for Medical Diagnosis Based on Patient Symptoms
Kisito KABORE, Omar SAWADOGO, Yaya TRAORE, Julie THIOMBIANO
The advent of artificial intelligence has positively transformed many
areas of our lives, including the medical field. In this article, we propose the
development of a medical diagnosis chatbot based on patients' symptoms, using
artificial intelligence as an innovative solution. The aim of this tool is to provide
doctors with a preliminary(...)
AI, Machine Learning, Chatbot, Medical diagnosis
ARTICLE
Addressing Challenges in Data Quality and Model Generalization for Malaria Detection
Kiswendsida Kisito Kaboré, Désiré Guel
Malaria remains a significant global health burden, particularly in resource-limited regions where timely and accurate diagnosis is critical to effective treatment and control. Deep Learning (DL) has emerged as a transformative tool for automating malaria detection and it offers high accuracy and scalability. However, the effectiveness of thes(...)
Malaria Detection, Deep Learning (DL), Data Quality, Model Generalization, Domain Adaptation
ARTICLE
Categorizing Approaches to Justify Recommendations
Yacouba Kyelem, T. Frédéric Ouédraogo, K. Kisito Kaboré
Recommendation justification enables users to understand the reasons and motivation behind
the recommendation of an item in a recommender system. It makes the recommendation model
much more transparent, and improves user satisfaction. It is because of the important role
assigned to the justification of recommendations that the present work(...)
Recommender systems, Justification of recommendation, Model-based justification, Post-hoc justification
ARTICLE
Transcription-Based on Pitches an Ontology for the System Knowledge Representation
Pengwendé Zongo, Yamba Dabone & Tounwendyam Frédéric Ouedraogo
This article aims to present an ontological approach for the domain knowledge representation of an intelligent tutoring system for learning transcription based on pitches in the Mooré language. This system that we built allows us to learn the transcription of polysemous words in the Mooré language. In our intelligent tutoring system, the knowl(...)
Ontology, Intelligent tutoring system, Tone language, Moor´
COMMUNICATION
ChatGPT Does Not Understand Moore: On the Challenges of Integrating African Languages in Large Language Models
Aminata Sabané, Tegawendé F. Bissyandé
The advent of Large Language Models (LLMs) likely constitutes a turning point in the history of mankind. LLMs have the potential to revolutionize the way we interact with computers and each other. While current state of the art LLMs mostly support western languages, such as English, it is paramount that we consider the opportunity of integrati(...)
LLM, low-resource languages, natural language processing, Moore
ARTICLE
Accessibilité aux technologies de l'information et de la communication des étudiants en licence de l'UFR Sciences de la Santé (SDS) de l'Université Joseph KI-ZERBO de Ouagadougou
Relwendé Aristide YAMEOGO, ZONGO Armelle Francine, DOUMONBOU A. Isabelle. Rachelle, Joël BAMOUNI, SOUBIABIGA Romaric, Patrice ZABSONRE , Adama SANOU, Nicolas MEDA
L’objectif de ce travail est d’évaluer l’accès aux technologies numériques chez les étudiants de l’UFR/SDS de l’Université Joseph Ki-Zerbo. Il s’est agi d’une étude transversale descriptive menée à l’aide d’un questionnaire auto-administré, qui a été distribué aux étudiants inscrits en licence dans les filières de médecine, pharmacie et chirur(...)
Accès à la technologie , Compétences numériques , Burkina Faso
ARTICLE
Ameliorating Energy Efficiency in Wireless Sensor Networks: Integrating the Syracuse Algorithm with K-MEAN for Enhanced Base Station Mobile Management
OUATTARA Yacouba and PODA Pasteur
In designing sensor networks for hostile environments, energy conservation at each sensor node is a critical challenge. This study proposes a novel deployment
of two mobile base stations utilizing Syracuse's modified algorithm, alongside the original algorithm, to predict breakpoints. The approach aims to extend the
sensor network's lifespan(...)
Syracuse, Wireless Network, Mobile Network, SHEM, algorithm
ARTICLE
AI-BASED APPROACH FOR EARLY DIAGNOSIS SUPPORT IN HEMORRHAGIC STROKE
SAWADOGO Athanase, TAPSOBA Lydie Simone, KAFANDO Rodrique, Tegawende François d’Assise BISYANDE
A hemorrhagic stroke is a life-threatening medical condition that happens when a blood vessel in your brain ruptures and
bleeds. It constitutes a burden on health services and the victim's family. The current definitive diagnosis of stroke is based
on brain scanning. However, the clinical diagnosis of hemorrhagic stroke is complex and depend(...)
hemorrhagic stroke, machine learning, clinical data
ARTICLE
Integrating the Syracuse Algorithm with K-MEAN: A Comprehensive Approach to Energy Optimization in Wireless Sensor Networks
Yacouba OUATTARA
In deploying a sensor network in a challenging environment, it is crucial to consider energy consumption to ensure an extended network lifespan. Since the inception of sensor networks, researchers have proposed various energy-saving solutions outlined in the introduction. In our study, we introduce a novel approach for cluster formation and po(...)
Energy, K-MEAN, Syracuse, WSN, SHEM.