Browsing by Author "Nahayo, F."

Now showing 1 - 4 of 4
  • Thumbnail Image
    Item
    An Innovative Predictive Quantum Computer Modeling ;The Power of R2022A+ Cryptography Technology
    (Contemporary Engineering Sciences, Vol. 16, 2023) Ndagijimana, P.; Shabani, J.; Nahayo, F.; Et al.
    Due to the revolution of technology since the beginning of the 20th century, it is considerable to develop e cient tools on the quantum level in order to improve con dentiality and interoperability of data. The Quantum computer, with Quantum mechanics as its basic principle, still promises to bring great surprises even though we are at the beginning of its development. Quantum Computer is the only known model for computing that could o er exponential speedup classic computer. The current major challenges of the Quantum Computer include increasing or reducing the number of qubits for a given system, coherence management to preserve the properties of the superposition and entanglement state of a quantum system to perform data operation, of course through appropriate quantum algorithms. In this paper, we will give an overview of a quantum computer, will describe the evolution of cryptography and the theory related to computational performance, e ciency and predictive modeling of Quantum Computers. Prototype and Quantum simulation algorithm will be proposed to improve the life of new quantum universe.
  • Thumbnail Image
    Item
    La Recherche-Développement à l’Université du Burundi : bilan, défis et perspectives
    (RUFORUM Working Document Series, 2018) Masharabu, Tatien; Nahayo, F.; Bogaert, J.; Et al.
    Créée en 1964, l’Université du Burundi est la principale université publique du pays. En 2017, elle compte 9300 étudiants reparties à travers huit facultés et trois instituts, avec un effectif de l’ordre de 237 enseignants-chercheurs détenteurs d’un doctorat (PhD) et de 275 assistants toutes catégories, opérant dans 13 centres de recherche sur diverses thématiques pluridisciplinaires du pôle des Sciences Naturelles, de la Vie et de l’Ingénieur, et du pôle des Sciences Humaines et Sociales. Après plus d’un demi-siècle d’enseignement, de recherche et de services à la communauté, quel serait le bilan de sa production scientifique? Malgré les défis auxquels font face le Burundi et l’Afrique, l’Université du Burundi occupe la première place à l’échelle nationale, la 91ème place à l’échelle continentale, et la 5225 ème place à l’échelle planétaire sur base des indicateurs établis par Ranking Web ofUniversities dans le cadre du classement mondial des universités. Alors que la Recherche-Développement (R-D) peut et doit contribuer à trouver des solutions aux différents défis de la société (l’insécurité alimentaire, la crise énergétique, les problèmes de financement, les changements climatiques, la santé publique, etc.), il faudrait que le secteur de la R-D soit doté de bons indicateurs et instruments. Et tout laisse entendre qu’il est possible de transformer ces défis en opportunités de collaboration et/ou d’affaires à l’échelle locale, régionale et internationale. Burundi, Indicateurs, Innovation, Recherche-Développement
  • Thumbnail Image
    Item
    The FDP++R2023A Performance Improvement Algorithm of Burundi Management System. The SATINOV Sciences in Africa
    (Applied Mathematical Sciences, 2023) Nahayo, F.; Bagorizamba, A.
    The statistical modeling of the problem of poverty is a major challenge given Burundi’s economic development managment system. Innovative economic optimization systems are widely needed to face the problem of the dynamic of the poverty in Burundi. The Burundian economy showsan inflation rate of1.5% in 2018 for the Gross Domestic Product growth real rate of 2.8% in 2016. This research concerns the FDP++R2023A Algorithm for Performance Improvment of Burundi management system. The SATINOV management sciences and decision support in Africa. The aim is to find a management system model that contributes to solving the problem of poverty in Burundi. This model solves an optimization problem combining the variables of production, consumption, budget, human resources and available raw materials. Scientific modeling and optimal solving of the poverty problem show the tools for measuring poverty rate and determining various countries’ poverty levels when considering advanced knowledge for performance improvment of Burundi management system. Poverty Problem, Applied Statistic Modeling, Operational
  • Thumbnail Image
    Item
    Two-Aircraft Dynamic System on Approach. Flight Path and Noise Optimization
    (Applied Mathematical Sciences, 2012) Nahayo, F.; Khardi, S.; Haddou, M.
    The aim of this paper is to present and to solve a mathematical model of two-aircraft optimal control problem reducing noise during the approach. This is a non-convex optimal control problem governed by ordinary non-linear differential equations. A Symplectic Partitioned Runge-Kutta discretization and the Pontryaguin maximum principle are used. Discretization scheme provides a sufficiently high order requiring a computation of the partial derivatives of the aircraft dynamic parameters. The nonlinear interior point trust region optimization solver is applied. Numerical experiments and results are presented. They confirm the feasible optimized trajectories contributing to a significant noise reduction.