Publications (115)
COMMUNICATION
Current Status of e-health in Burkina Faso
Lydie Simone TAPSOBA, Yaya TRAORE, et Sadouanouan MALO
The term e-health refers to all areas where information and communication technologies (ICT) are used for health. E-health appears more and more as a relevant solution to meet the challenges health systems are facing. However, despite its interest, e-health has long remained underexploited in Burkina Faso even if many softwares have been the s(...)
Mots clés non renseignés
ARTICLE
Detection of Vulnerabilities Related to Permissions Requests for Android Apps Using Machine Learning Techniques
Didier Bassolé, Yaya Traoré, Gouayon Koala, Franklin Tchakounté & Oumarou Sié
Android application vulnerabilities are weaknesses in the applications or their design that allow an attacker to execute commands, access unauthorised data and carry out denial of service attacks. In this paper, we try to improve the detection of vulnerabilities, especially those based on permissions in Android applications. We propose a model(...)
Vulnerability, Permission-based, Machine learning, Android applications
ARTICLE
A Framework for Data Research in GIS Database using Meshing Techniques and the Map-Reduce Algorithm
SERE Abdoulaye, Jean Serge Dimitri OUATTARA, Didier BASSOLE, Jose Arthur OUEDRAOGO, Moubaric KABORE
Everywhere, centers, laboratories, hospital and pharmacy have faced many challenges to delivery quality of health service due to constraints related to limited availability of resources such as drugs, places, equipments and specialists, often in health deficit with increasing number of patients, for instance during COVID-19 pandemic. Late info(...)
Mots clés non renseignés
ARTICLE
Détection des vulnérabilités liées aux permissions des applications Android à l’aide des techniques de Machine Learning
Koala Gouayon, Didier BASSOLE, Yaya TRAORE, Kisito K. KABORE, Oumarou SIE
A compléter
Mots clés non renseignés
ARTICLE
Détection des vulnérabilités liées aux permissions des applications Android à l’aide des techniques de Machine Learning
Koala Gouayon, Didier BASSOLE, Yaya TRAORE, Kisito K. KABORE, Oumarou SIE
A compléter
Mots clés non renseignés
ARTICLE
Architecture of a Platform on Sharing Endogenous Knowledge to Adapt to Climate Change
Trawina H., Diop I., Malo S., Traore Y.
Burkina Faso, a country in the heart of the Sahel, is one of the most vulnerable areas in Africa. 86% of its rural population is engaged in agricultural activities. Its predominantly rural population, with little theoretical and scientific knowledge of climate change, suffers the consequences of this phenomenon, including crop losses, lack of(...)
Architecture, Semantic web, Semantic wiki, Social web, Ontologies, Endogenous knowledge, Agricultural techniques
ARTICLE
Vulnerability analysis in mobile banking and payment applications on android in African Countries
Didier Bassolé, Gouayon Koala, Yaya Traoré, Oumarou Sié
In this paper, we analyze vulnerability of some mobile banking and payment applications on Android platforms. This analysis aims at performing vulnerability assessments, facilitating an informed assessment of the information security and privacy risks that mobile banking and payment applications face in African countries, and creating awarenes(...)
Mots clés non renseignés
ARTICLE
Towards a Social and Semantic Web Platform for Sharing Endogenous Knowledge to Adapt to Climate Change
H. TRAWINA, S. MALO, I. DIOP and Y. TRAORE
In this article, we focus on farmers' perceptions of climate change and their strategies for adapting cultures, which
constitute endogenous knowledge. This leads us to the three major challenges of opening, interconnecting and sharing endogenous knowledge through the use of different tools and methods of the semantic web (or linked open data(...)
architecture, semantic web, semantic wiki, social web, endogenous knowledge, agricultural techniques
COMMUNICATION
Towards an Architecture for the Interoperability of Hospital Information Systems in Burkina Faso
Lydie Simone TAPSOBA, Yaya TRAORE, Sadouanouan MALO
The successful introduction of ICTs into medical practice is a key factor in improving the performance of any health system for both patients and healthcare professionals. In Burkina Faso, many hospital information systems (HIS) have been developed and are already widely used in large health centers with proven efficiency. To improve the quali(...)
Mots clés non renseignés
ARTICLE
Towards an Architecture for the Interoperability of Hospital Information Systems in Burkina Faso
Lydie Simone TAPSOBA, Yaya TRAORE, et Sadouanouan MALO
he successful introduction of ICTs into medical practice is a key factor in improving the performance of any health system for both patients and healthcare professionals. In Burkina Faso, many hospital information systems (HIS) have been developed and are already widely used in large health centers with proven efficiency. To improve the qualit(...)
Hospital information system; Interoperability; architecture; ontology.
ARTICLE
The Statistical Correlation between Distortion and Adding Signal for PAPR Reduction in OFDM based Communication Systems
Désiré Guel, Boureima Zerbo, Jacques Palicot, Oumarou Sié
In recent past years, PAPR (Peak-to-Average Power Ratio) of OFDM (Orthogonal FrequencyDivision Multiplexing) system has been intensively investigated. Published works mainly focus on how to reduce PAPR. Since high PAPR will lead to clipping of the signal when passed through a nonlinear amplifier. This paper proposes to extend the work related(...)
Orthogonal Frequency Division Multiplexing (OFDM), Peak-to-Average Power Ratio (PAPR), signal-to-noise-and-distortion ratio (SNDR), Adding Signal Techniques
ARTICLE
Design and implementation of secure communication protocols for Internet of Things systems
Didier Bassole; Kisito K. Kabore; Yaya Traore; Oumarou Sie; Hatem Ben Sta
The security of Internet of Things (IoT) systems is a major issue for protection of data and safety of people. This requires developing solutions that address security issues related to the design of communication protocols between objects but also in the collection, processing, routing and storage of data. In this paper, we propose a methodol(...)
Mots clés non renseignés
ARTICLE
Gaussian Tone Reservation Clipping and Filtering for PAPR Mitigation
Yves Louet, Jacques Palicot, Désiré Guel
A Gaussian function for clipping associated to a Tone Reservation filtering is presented in this paper in order to decrease multicarrier Peak to Average Power Ratio (PAPR). The advantage of this approach is twofold: first, the Gaussian clipping function is a soft non-linear function which keeps constant the average power of the signal, which i(...)
PAPR, clipping, Gaussian, OFDM
ARTICLE
Multi-Label Classification using an Ontology
Yaya TRAORE, MALO Sadouanouan, Didier BASSOLE, SERE Abdoulaye
During these last few years, the problem of multi-label classification (ML) has been studied in several domains, such as text categorization. Multi-label classification is a main challenging task because each instance can be assigned to multiple classes simultaneously. This paper studies the problem of Multi-label classification in the context(...)
Mots clés non renseignés
COMMUNICATION
A mobile cloud-based application for renal insufficiency patient monitoring
Lydie Simone Tapsoba, Ferdinand GUINKO, et Hatem Ben Sta,
Burkina Faso is witnessing a rising of Chronic Kidney Diseases (CKD). Despite numerous challenges to the healthcare systems, the government has recognized CKD as a top priority in his agenda and has set effective strategies against the disease. To go along with the government strategy we have proposed a mobile health application architecture f(...)
Mots clés non renseignés