Papers by SAMBA DJIMBA NDIAYE
Acta Biotheoretica, 2014
The Rift Valley fever (RVF), which first appeared in Kenya in 1912, is an anthropozoonosis widesp... more The Rift Valley fever (RVF), which first appeared in Kenya in 1912, is an anthropozoonosis widespread in tropical areas. In Senegal, it is particularly felt in the Ferlo area where a strong presence of ponds shared by humans, cattle and vectors is noted. As part of the studies carried out on the environmental factors which favour its start and propagation, the focus of this paper is put on the decision making process to evaluate the impacts, the interactions and to make RVF monitoring easier. The present paper proposes a model based on data mining techniques and dedicated to trade experts. This model integrates all the involved data and the results of the analyses made on the characteristics of the surrounding ponds. This approach presents some advantage in revealing the relationship between environmental factors and RVF transmission vectors for space-time epidemiology monitoring purpose.
Acta Biotheoretica, 2014
The Rift Valley fever (RVF), which first appeared in Kenya in 1912, is an anthropozoonosis widesp... more The Rift Valley fever (RVF), which first appeared in Kenya in 1912, is an anthropozoonosis widespread in tropical areas. In Senegal, it is particularly felt in the Ferlo area where a strong presence of ponds shared by humans, cattle and vectors is noted. As part of the studies carried out on the environmental factors which favour its start and propagation, the focus of this paper is put on the decision making process to evaluate the impacts, the interactions and to make RVF monitoring easier. The present paper proposes a model based on data mining techniques and dedicated to trade experts. This model integrates all the involved data and the results of the analyses made on the characteristics of the surrounding ponds. This approach presents some advantage in revealing the relationship between environmental factors and RVF transmission vectors for space-time epidemiology monitoring purpose.
Acta Biotheoretica, 2014
The Rift Valley fever (RVF), which first appeared in Kenya in 1912, is an anthropozoonosis widesp... more The Rift Valley fever (RVF), which first appeared in Kenya in 1912, is an anthropozoonosis widespread in tropical areas. In Senegal, it is particularly felt in the Ferlo area where a strong presence of ponds shared by humans, cattle and vectors is noted. As part of the studies carried out on the environmental factors which favour its start and propagation, the focus of this paper is put on the decision making process to evaluate the impacts, the interactions and to make RVF monitoring easier. The present paper proposes a model based on data mining techniques and dedicated to trade experts. This model integrates all the involved data and the results of the analyses made on the characteristics of the surrounding ponds. This approach presents some advantage in revealing the relationship between environmental factors and RVF transmission vectors for space-time epidemiology monitoring purpose.
Computing in Research and Development in Africa, 2014
The biodiversity term refers to the totality of genes, species, and ecosystems of a region or the... more The biodiversity term refers to the totality of genes, species, and ecosystems of a region or the globe. Biodiversity's impact on the human health and the ecosystem is without a doubt very significative. Therefore, the conservation of the biodiversity is becoming an international political and scientific issue since it may have a drawback on climate and the human health or survival. For a sustainable development perspective, several ongoing studies are conducted to analyze, predict, and face biodiversity changes. Such studies require a huge volume of data collected, stored, shared, and exploited intensively by researchers through the world by using web technologies and information systems as GEOBON, LifeWacth, GBIF, MosquitoMap. These systems handle an important amount of computing and database resources that must be optimized for avoiding maintaining useless resources while reducing considerably the energy usage. Actually, the goal of such optimization that we propose in this chapter is to adapt (increase or decrease) the number of resources for dealing with data of biodiversity based on the current load (or number of requests) while ensuring good performances. The benefits of doing so are manifold. First, it fits perfectly with the objectives of green computing or green IT that suggest to define computing systems efficiently and effectively with minimal or no impact on the environment. Second, it is well suited for African developing countries that encounter frequently energy problems and that miss enough funds to maintain complex infrastructures. I. Sarr ( ) • N. Bame • I. Gueye • S. Ndiaye
Proceedings of the 2009 EDBT/ICDT Workshops on - EDBT/ICDT '09, 2009
In distributed systems, replication is used for ensuring availability and increasing performances... more In distributed systems, replication is used for ensuring availability and increasing performances. However, the heavy workload of distributed systems such as web2.0 applications or Global Distribution Systems, limits the benefit of replication if its degree (i.e., the number of replicas) is not controlled. Since every replica must perform all updates eventually, there is a point beyond which adding more replicas does not increase the throughput, because every replica is saturated by applying updates. Moreover, if the replication degree exceeds the optimal threshold, the useless replica would generate an overhead due to extra communication messages. In this paper, we propose a suitable replication management solution in order to reduce useless replicas. To this end, we define two mathematical models which approximate the appropriate number of replicas to achieve a given level of performance. Moreover, we demonstrate the feasibility of our replication management model through simulation. The results expose the effectiveness of our models and their accuracy.
Computing in Research and Development in Africa, 2014
The biodiversity term refers to the totality of genes, species, and ecosystems of a region or the... more The biodiversity term refers to the totality of genes, species, and ecosystems of a region or the globe. Biodiversity's impact on the human health and the ecosystem is without a doubt very significative. Therefore, the conservation of the biodiversity is becoming an international political and scientific issue since it may have a drawback on climate and the human health or survival. For a sustainable development perspective, several ongoing studies are conducted to analyze, predict, and face biodiversity changes. Such studies require a huge volume of data collected, stored, shared, and exploited intensively by researchers through the world by using web technologies and information systems as GEOBON, LifeWacth, GBIF, MosquitoMap. These systems handle an important amount of computing and database resources that must be optimized for avoiding maintaining useless resources while reducing considerably the energy usage. Actually, the goal of such optimization that we propose in this chapter is to adapt (increase or decrease) the number of resources for dealing with data of biodiversity based on the current load (or number of requests) while ensuring good performances. The benefits of doing so are manifold. First, it fits perfectly with the objectives of green computing or green IT that suggest to define computing systems efficiently and effectively with minimal or no impact on the environment. Second, it is well suited for African developing countries that encounter frequently energy problems and that miss enough funds to maintain complex infrastructures. I. Sarr ( ) • N. Bame • I. Gueye • S. Ndiaye
Proceedings of the 2009 EDBT/ICDT Workshops on - EDBT/ICDT '09, 2009
In distributed systems, replication is used for ensuring availability and increasing performances... more In distributed systems, replication is used for ensuring availability and increasing performances. However, the heavy workload of distributed systems such as web2.0 applications or Global Distribution Systems, limits the benefit of replication if its degree (i.e., the number of replicas) is not controlled. Since every replica must perform all updates eventually, there is a point beyond which adding more replicas does not increase the throughput, because every replica is saturated by applying updates. Moreover, if the replication degree exceeds the optimal threshold, the useless replica would generate an overhead due to extra communication messages. In this paper, we propose a suitable replication management solution in order to reduce useless replicas. To this end, we define two mathematical models which approximate the appropriate number of replicas to achieve a given level of performance. Moreover, we demonstrate the feasibility of our replication management model through simulation. The results expose the effectiveness of our models and their accuracy.
Lecture Notes in Computer Science, 2009
Recently, privacy issues have becomes important in data mining, especially when data is horizonta... more Recently, privacy issues have becomes important in data mining, especially when data is horizontally or vertically partitioned. For the vertically partitioned case, many data mining problems can be reduced to securely computing the scalar product. Among these problems, we can mention association rule mining over vertically partitioned data. Efficiency of a secure scalar product can be measured by the overhead of communication needed to ensure this security. Several solutions have been proposed for privacy preserving association rule mining in vertically partitioned data. But the main drawback of these solutions is the excessive overhead communication needed for ensuring data privacy. In this paper we propose a new secure scalar product with the aim to reduce the overhead communication.
Knowledge Discovery Results as a Threat to Privacy
International Conference on Electronics, Information and Communication Engineering (EICE 2012), 2012
Pastoral mobility optimization based on a mobile Geographic Information System (GIS) for rural development
Proceeding of the 3rd International Conference on Information and Communication Technology for the Moslem World (ICT4M) 2010, 2010
This paper explores the use of mobile Geographic Information System (GIS) computing in its applic... more This paper explores the use of mobile Geographic Information System (GIS) computing in its application in water point management. Applications based on mobile GIS are the best way to provide appropriate solutions for rural populations such as breeders in Senegal. In fact, the breeders have many problems to find water points for their cattle group. So far, the potential geographic
Optimizing Pastoral Mobility Based on Mobile Geographic Information Systems (MGIS)
Technologies and Innovations for Development, 2012
Uploads
Papers by SAMBA DJIMBA NDIAYE