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Browsing ICTs including Big Data and Artificial Intelligence by Issue Date

Browsing ICTs including Big Data and Artificial Intelligence by Issue Date

Now showing items 1-20 of 62

Energy Efficient Cloud Data Center Using Dynamic Virtual Machine Consolidation Algorithm

Thiam, Cheikhou; Thiam, Fatoumata (Springer Link, 2019)

In Cloud Data centers, virtual machine consolidation on minimizing energy consumed aims at reducing the number of active physical servers. Dynamic consolidation of virtual machines (VMs) and switching idle nodes off allow ...
Optimizing electrical energy consumption in cloud data center

Thiam, Cheikhou; Thiam, Fatoumata (IEEE, 2019)

The cloud data Center uses more and more computers leading to the need for new electrical installations each year, increasing thus power consumption. Many studies on optimizing energy consumption have recently been conducted. ...
Realistic Cluster-Based Energy-Efficient and Fault-Tolerant (RCEEFT) Routing Protocol for Wireless Sensor Networks (WSNs)

Effah, Emmanuel; Thiare, Ousmane (Springer Link, 2020-02)

Despite the numerous research advances in multichannel event reporting (ER) protocols in Wireless Sensor Networks (WSNs), the core issues such as effective energy consumption management, balanced network-wide energy depletion ...
Effect of Window Size on PAPR Reduction in 4G LTE Network Using Peak Windowing Algorithm in Presence of Non-linear HPA

Maniraguha, Fidele; Hanyurwimfura, Damien; Nizeyimana, Eric (IEEE, 2020-03)

Orthogonal frequency division multiplexing (OFDM) was endorsed in recent digital communication technologies such as 4G-LTE to cope with multipath fading channel, and respond to increasingly high data rate demand. Despite ...
Optimized energy and SLA-aware virtual machine placement strategies in Cloud: study

Thiam, Cheikhou; Thiam, Fatoumata; MBaye, Mamadou (IEEE, 2020-04-20)

Pay-as-you-go is the latest trend for most of the business applications and to suit it precisely a process should be followed which might be the Service Level Agreement (SLA). Cloud computing requires a clear agreed SLA ...
An Energy-Efficient VM migrations optimization in Cloud Data Centers

Thiam, Cheikhou; Thiam, Fatoumata (IEEE, 2020-07-07)

Nowadays more attention focuses on VM management strategies in a variety of scenarios. The problem of virtual machine placement and migration is an optimization problem aiming for multiple goals. The efficiency of a data ...
Energy-Efficient Multihop Routing Framework for Cluster-based Agricultural Internet of Things (CA-IoT)

Effah, Emmanuel; Thiare, Ousmane; Wyglinski, Alexander (IEEE Xplore, 2021-02-15)

In this paper, we propose an energy-efficient multihop routing framework that is based on the total communication costs metric (E TER,min ), and implement it in a multihop clustering-based Agricultural Internet of Things ...
Multi-Objective Optimization Modeling of Clustering-Based Agricultural Internet of Things

Effah, Emmanuel; Thiare, Ousmane; Wyglinski, Alexander (IEEE Xplore, 2021-02-15)

In this paper, we propose a new multi-objective optimization (MOO) framework to maximize power consumption and coverage stability of the clustering-based Agricultural Internet of Things (CA-IoT). The planning, design, and ...
Design of a Decentralized and Predictive Real-Time Framework for Air Pollution Spikes Monitoring

Nizeyimana, Eric; Hanyurwimfura, Damien; Shibasaki, Ryosuke; Nsenga, Jimmy (IEEE, 2021-06-02)

Exposure to air pollution spikes cause health problems to regularly exposed organisms, raising the need to monitor them in real-time. Existing air pollution monitors mainly use a cloud-centric design considering relatively ...
Generic Reliability Analysis Model of IoT : Agriculture use case

Thiam, Fatoumata; Mbaye, MaiSsa; Wyglinski, Alexander M. (IEEE, 2021-06-15)

In this paper, we use Discrete Event Systems (DES) to conduct a novel reliability analysis regarding network longevity and sensor nodes (SNs) energy failure in the agriculture domain. Reliability is a critical aspect of ...
Performance Analysis of IoT-based Healthcare Heterogeneous Delay-sensitive Multi-Server Priority Queuing System

Asingwire, Barbara Kabwiga; Ngenzi, Alexander; Sibomana, Louis; Kabiri, Charles (International Journal of Advanced Computer Science and Applications (IJACSA), 2021-10)

Previous studies have considered scheduling schemes for Internet of Things (IoT)-based healthcare systems like First Come First Served (FCFS), and Shortest Job First (SJF). However, these scheduling schemes have limitations ...
Enhancing Farmers Productivity Through IoT and Machine Learning: A State-of-the-Art Review of Recent Trends in Africa

Nyasulu, Chimango; Awa, Diattara; Traore, Assitan; Ba, Cheikh (Springer LInk, 2021-11-04)

Agriculture is considered as the main source of food, employment and economic development in most African countries and beyond. In agricultural production, increasing quality and quantity of yield while reducing operating ...
Ground Clutter Mitigation and Insect Signature Detection for Polarimetric C-Band Doppler Weather Radar

Maniraguha, Fidele; Vodacek, Anthony; Ndashimye, Emmanuel; Rushingabigwi, Gerard (IEEE, 2021-11-30)

Weather radar returns can come from meteorological targets as well as non-meteorological targets. In general, radar echoes in clear air are caused by insects, dust, birds, and other particles large enough to return some ...
Design of Smart IoT Device for Monitoring Short-term Exposure to Air Pollution Peaks

Nizeyimana, Eric; Nsenga, Jimmy; Shibasaki, Ryosuke; Hanyurwimfura, Damien; Hwang, JunSeok (International Journal of Advanced Computer Science and Applications(IJACSA), 2022-01)

Air pollution spikes have been causing harm to human beings and the environment. Most exposure to Air pollution spikes has demonstrated a significant impact on mental health, especially children at an early age. That lead ...
Android malware detection: Investigating the impact of imbalanced data-sets on the performance of machine learning models

Sawadogo, Zakaria; Mendy, Gervais; Marie Dembele, Jean; Ouya, Samuel (IEEE Xplore, 2022-03-11)

Artificial intelligence has revolutionized many areas of research, including research on malicious application detection and classification. Nowadays, there are many approaches that learn from existing data and predict the ...
Android Malware Classification: Updating Features Through Incremental Learning Approach(UFILA)

Sawadogo, Zakaria; Mendy, Gervais; Dembelle, Jean Marie; Ouya, Samuel (IEEE Xplore, 2022-03-11)

Exponential growth of the use of connected objects, in particular of smartphones, is the consequence of the digitization of services. All types of applications, from the least critical to the most critical are available ...
A Semantic Measure for Outlier Detection in Knowledge Graph

Diop, Bara; Diop, Cheikh Talibouya; Diop, Lamine (Revue Africaine de La Recherche En Informatique et Mathématiques Appliquées, 2022-04-11)

owadays, there is a growing interest in data mining and information retrieval applications from Knowledge Graphs (KG). However, the latter (KG) suffers from several data quality problems such as accuracy, completeness, and ...
Modeling and Performance Optimization of a Compact Three-Petalled Flower-Like Microstrip Patch Antenna for IoT Applications

Gupta, Nancy; Gill, Navneet; Maniraguha, Fidele (Wireless Communications and Mobile Computing, 2022-06-17)

The article is aimed at proposing the design and investigating the performance of a three-petalled flower-shaped wideband microstrip patch antenna for IoT and next-generation wireless applications. The proposed printed ...
Millimeter Wave All-Around Antenna Based on Whispering Gallery Mode Dielectric Resonator for IoT-Based Applications

Kogut, Alexander; Annino, Giuseppe; El Bakkali, Mohamed; Ahl Laamara, Rachid; Kumar Arora, Sandeep; Naik, D. S. Bhupal; Maniraguha, Fidele (Wireless Communications and Mobile Computing, 2022-06-29)

This work is devoted to the study of the emitting properties of azimuthally inhomogeneous segmental dielectric resonators excited by whispering gallery modes. Due to the diffraction of the azimuthal waves on local ...
Towards Resilient Agriculture to Hostile Climate Change in the Sahel Region: A Case Study of Machine Learning-Based Weather Prediction in Senegal

Nyasulu, Chimango; Diattara, Awa; Traore, Assitan; Deme, Abdoulaye; Ba, Cheikh (Agriculture, 2022-09-15)

To ensure continued food security and economic development in Africa, it is very important to address and adapt to climate change. Excessive dependence on rainfed agricultural production makes Africa more vulnerable to ...

Now showing items 1-20 of 62

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