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Habits on Social Networks at Workplace: A Survey of Motivations and Behaviour

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Open Journal of Applied Sciences 2024年第8期14卷 2154-2168页

作者： Thomas Kakou Kouassi Douatia Koné Aliou Bamba Aladji Kamagaté olivier asseu Yvon Kermarrec Laboratoire des Sciences et Technologies de lInformation et de la Communication (LASTIC) Ecole Superieure Africaine des TIC (ESATIC) Abidjan Cte dIvoire Institut National Polytechnique Houphout Boigny (INPHB) Yamoussoukro Cte dIvoire Departement de Mathematiques Physique et Chimie Universit Plforo Gon Coulibaly (UPGC) Korhogo Cte dIvoire Agence Nationale de la Recherche (ANR) Paris France Laboratoire des Sciences et Techniques de linformation de la Communication et de la Connaissance (Lab-STICC) IMT Atlantique Brest France

This article explores the use of social networks by workers in Abidjan, Côte d’Ivoire, with particular emphasis on a descriptive or quantitative analysis aimed at understanding motivations and methods of use. More than five hundred and fifty questionnaires were distributed, highlighting workers’ preferred digital channels and platforms. The results indicate that the majority use social media through their mobile phones, with WhatsApp being the most popular app, followed by Facebook and LinkedIn. The study reveals that workers use social media for entertainment purposes and to develop professional and social relationships, with 55% unable to live without social media at work for recreational activities. In addition, 35% spend on average 1 to 2 hours on social networks, mainly between 12 p.m. and 2 p.m. It also appears that 46% believe that social networks moderately improve their productivity. These findings can guide marketing strategies, training, technology development and government policies related to the use of social media in the workplace.

关键词： Social Network Social Media Applications Poisson’s Law Statistics Digital Supports Workers Productivity

Spatio-Temporal Pulsating Dissipative Solitons through Collective Variable Methods

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Journal of Applied Mathematics and Physics 2016年第6期4卷 1032-1041页

作者： olivier asseu Ambroise Diby Pamela Yoboué Aladji Kamagaté Ecole Supérieure Africaine des Technologies de l’Information et de Communication (ESATIC) Abidjan Cote d’Ivoire Department of Electrical and Electronic Engineering Institut National Polytechnique Houphouet Boigny (INPHB) Yamoussoukro C&ocircte d’Ivoire UFR des Sciences des Structure de la Matière et de Technologie de l’Université Félix Houphouet Boigny Abidjan Cote d’Ivoire

A semi-analytical approach for the pulsating solutions of the 3D complex Cubic-quintic Ginzburg-Landau Equation (CGLE) is presented in this article. A collective variable approach is used to obtain a system of variational equations which give the evolution of the light pulses parameters as a function of the propagation distance. The collective coordinate approach is incomparably faster than the direct numerical simulation of the propagation equation. This allows us to obtain, efficiently, a global mapping of the 3D pulsating soliton. In addition it allows describing the influence of the parameters of the equation on the various physical parameters of the pulse and their dynamics.

关键词： Dissipative Soliton Pulsating Light Pulse Spatiotemporal Pulses Collective Variable Approach Complex Cubic-Quintic Ginzburg-Landau Equation Bifurcation

Determination of a Numerical Analysis Algorithm for the Regulation of Blood Sugar in Diabetics

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Open Journal of Applied Sciences 2021年第8期11卷 908-928页

作者： Kolo Silue Hyacinthe Kouassi Konan Mamadou Coulibaly olivier asseu Laboratoire des Sciences et Technologies de l’Information et de la Communication (LASTIC) ESATIC Abidjan C&#244te d’Ivoire

Acceptable glycemic control when examining the effects of meals was achieved when combining basal insulin therapy and high concentration insulin injection before a meal, when using a PID controller (Proportionality, Integrity and Derivative actions) alone, when using a PID controller with basal insulin therapy and when combining the three methods of insulin delivery. Naturally, a type 1 diabetic must inject himself with insulin in well-measured doses. Thus, the management and control of diabetes become a complex task when one must be considered the disturbance due to nutrition and sports activity. This concern has been at the center of much research through different approaches through mathematical methods and Artificial Intelligence methods. This article simulates a physiological model of glycemic control in type 1 diabetics by a PID regulatory mechanism, in the context of disturbances caused by the patient’s meals and athletic activity.

关键词： System of Differential Equation Solving Algorithm Physiological Model Simulation Glucose Concentrations Diabetic Disturbance Function PID Controller

Simulation of a Mathematical Model Minimizing Energy Consumption in SDN Type Networks

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Engineering（科研） 2018年第11期10卷 805-813页

作者： Lagasane Kra Bi Tra Gooré Manlandon Koffi olivier asseu Institut National Polytechnique F. Houphouë t Boigny (INP-HB) Yamoussoukro C&#244 te d’Ivoire Ecole Supérieure Africaine des TIC (ESATIC) Abidjan C&#244 te d’Ivoire

Several works by the authors have shown that energy consumption in communication networks does not only depend on the traffic load but on all connected equipment in the network. We have contributed a new mathematical model and a new energy saving strategy with Software Defined Network (SDN) technology [1]. Our Model solution is based on the Modified SPRING Protocol (MSP). In this paper, we simulated our work and compared it to that of the authors [2] and [3]. The OMNET++ simulator was used for our work. Thus, the results of the simulations gave a delay that tends to zero, a packet loss of the order of 10% and a constant jitter of 4% better than the previous authors.

关键词： SPRING Protocol Simulator OMNET++ Graph Mathematical Model

Effects of Dissipative Terms on Dissipative Soliton Resonance Curve

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Optics and Photonics Journal 2017年第3期7卷 57-66页

作者： Aladji Kamagaté Adama Konaté Penetjiligué Adama Soro olivier asseu Ecole Supérieure Africaine des Technologies d’Information et de Communication (ESATIC) Abidjan Cote d’Ivoire UFR des Sciences des Structure de la Matière et de Technologie de l’Université Félix Houphouë t Boigny Abidjan Cote d’Ivoire

Dissipative soliton resonance (DSR) is a phenomenon where the energy of a soliton in a dissipative system increases without limit at certain values of the system parameters. Using the method of collective variable approach, we have found an approximate relation between the parameters of the normalized complex cubic-quintic Ginzburg-Landau equation where the resonance manifests itself. Comparisons between the results obtained by collective variable approach, and those obtained by the method of moments show good qualitative agreement. This choice also helps to see the influence of the active terms on the resonance curve, so can be very useful in constructing passively mode-locked laser that generate solitons with the highest possible energies.

关键词： High-Energy Pulses Dissipative Soliton Resonance Mode-Locked Laser Fiber Laser Resonance Curve Active Terms Complex Cubic-Quintic Ginzburg-Landau Equation

Contribution to the Optimization of the Energy Consumption in SDN Networks

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Journal of Sensor Technology 2018年第3期8卷 59-67页

作者： Lagasane Kra Yaké Gondo Bi Tra Gooré olivier asseu Institut National Polytechnique F. Houphouë t Boigny (INP-HB) Yamoussoukro C&#244 te d’Ivoire Université Félix Houphouë t Boigny (UFHB) Abidjan C&#244 te d’Ivoire Ecole Supérieure Africaine des TIC (ESATIC) Abidjan C&#244 te d’Ivoire

With the advent of new technologies such as IoT (Internet of Things) and Big Data, the increase in users and their different communications have led to a significant increase in energy consumption in network equipment. A new networking technology called SDN (Software Defined Network) is born. It aims to make network management easier. The SDN consists of decoupling the control plane that is the brain, the data plane or the muscles of the network. It allows the programmability of network devices and also the redirection of flows. One or more centralized controllers use algorithms to act remotely on network devices. Because of its operation, this new technology offers opportunities to improve network performance and optimize energy consumption. In this paper, we will use this technology (SDN) to suspend links or routers when they are not used while taking into account the congestion that degrades the quality of service in the network. We have formulated this problem as a linear integer program and proposed algorithms to process it in normal period and peak period. We have used the OMNET ++ simulator to evaluate our algorithms. Thus, our approach showed that 87.5% of ports and 33.33% of links could be shut down to save energy.

关键词： IoT SDN Big Data Optimization Peak Period Normal Period Heuristic Algorithms

An Extended Sliding Mode Observer for Speed, Position and Torque Sensorless Control for PMSM Drive Based Stator Resistance Estimator

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Intelligent Control and Automation 2016年第1期7卷 1-8页

作者： Pierre Tety Adama Konaté olivier asseu Etienne Soro Pamela Yoboué Institut National Polytechnique Houphouet Boigny (INPHB) Yamoussoukro Cote d’Ivoire Ecole Supérieure Africaine des Technologies de l’Information et de la Communication (ESATIC) Abidjan Cote d’Ivoire

This paper presents a robust sixth-order Discrete-time Extended Sliding Mode Observer (DESMO) for sensorless control of PMSM in order to estimate the currents, speed, rotor position, load torque and stator resistance. The satisfying simulation results on Simulink/Matlab environment for a 1.6 kW PMSM demonstrate the good performance and stability of the proposed ESMO algorithm against parameter variation, modeling uncertainty, measurement and system noises.

关键词： PMSM Extended Sliding Mode Observer Feedback Control

Detection of “Swollen Shoot” Disease in Ivorian Cocoa Trees via Convolutional Neural Networks

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Engineering（科研） 2020年第3期12卷 166-176页

作者： Mamadou Coulibaly Konan Hyacinthe Kouassi Silue Kolo olivier asseu Ecole Supérieure Africaine des TIC LASTIC Abidjan C&#244 te d’Ivoire

Recent advances in diagnostics have made image analysis one of the main areas of research and development. Selecting and calculating these characteristics of a disease is a difficult task. Among deep learning techniques, deep convolutional neural networks are actively used for image analysis. This includes areas of application such as segmentation, anomaly detection, disease classification, computer-aided diagnosis. The objective which we aim in this article is to extract information in an effective way for a better diagnosis of the plants attending the disease of “swollen shoot”.

关键词： Drone Convolutional Neural Networks Image Recognition Feature Detection

Performance of a New Method of Multicomponent Images Segmentation in the Presence of Noise

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Engineering（科研） 2011年第11期3卷 1082-1089页

作者： Sié Ouattara olivier asseu Alain Clément Bertrand Vigouroux 不详

Any undesirable signal limiting to a degree or another the integrity and the intelligibility of a useful signal can be considered as noise. In the general rule, the good performance of a system is assured only if the level of power of the useful signal exceeds by several orders of magnitude that of the noise (signal to noise of a several tens of decibels). However certain elaborate methods of treatment allow working with very low signal to noise ratio in an optimal way any a priori knowledge available on the signal useful to interpret. In this work, we evaluate the robustness of the noise on a new method of multicomponent image segmentation developed recently. Two types of additional noises are considered, which are the Gaussian noise and the uniform noise, with varying correlation between the different components (or planes) of the image. Quantitative results show the influence of the noise level on the segmentation method.

关键词： Multicomponent Images Segmentation n-D Compact Histogram Additional Noise Gaussian Noise Uniform Noise Correlated Noise