Poultry-Edge-AI-IoT System for Real-Time Monitoring and Predicting by Using Artificial Intelligence

Poultry farms have played a significant role throughout human history, in feeding the growing population. A good environment is a perfect condition for the growth of poultry, preventing disease, and effective production. The temperature higher and the humidity favor the growth of bacteria and hence the production of ammonia (NH3) by the decomposition of organic matter. Ammonia (NH3), carbon monoxide (CO), and carbon dioxide (CO2), Methane (CH4), hydrogen sulfide (H2S) are poisonous gases that can cause poultry diseases and mortality. The combination of Artificial Intelligence (AI), Internet of Things (IoT), and Edge Computing offer efficient and intelligent stand-alone systems of monitoring in real-time, predicting, and advanced automation. The paper aims to monitor in real-time and predict poultry barns' environmental conditions using an artificial intelligence algorithm. An intelligent system called Poultry-Edge-AI-IoT has been developed to gather, hash, store, pretreat, filter, knowledge extract, and transmit information from a heterogeneous wireless sensor network. The Poultry-Edge-AI-IoT system is based on IoT, AI, and Edge Computing for the detection of potential stress, the harmful gas concentration, and the prediction of poultry barns' environmental conditions. The system is modular and upgradeable

Long Term Forecasting of Wind Speed for Wind Energy Application

International audienceA novel method for long term forecasting of wind speed distribution is proposed based on the concept of training neural network. A phase space reconstruction method is used to track the evolution of the wind speed distribution function parameters in a dynamic system. Then, the neural network training and forecasting features are used to learn nonlinear model between historical data and next observation. Moreover, different estimators have been applied and compared to fit the annual distribution of the wind speed in the studied sites before applying the proposed approach. The proposed method shows a good performance and could be successfully applied in wind energy yield

Horizontal Extrapolation of Wind Speed Distribution Using Neural Network for Wind Resource Assessment

To evaluate the wind potential on a site for future wind energy project, an accurate representation of the wind speed distribution is required. However, due to the lack of observations, wind engineers are conducted to use some statistical tools to estimate the characteristics of wind by the measurements from a nearby reference or data obtained from a short period. In this work, we aim at applying an information processing paradigm that is inspired by biological neurons, formal neurons, for the assessment of wind speed distribution. Two different learning algorithms are used so as to generate Artificial Neural Network with one hidden layer. Results prove that learning by means of Bayesian regularization, in comparison with Levenberg–Marquardt learning algorithm, gives the best performance. In addition, the proposed network allows significant results in horizontal wind extrapolation

Ontological model of competence management

Dans cet article, nous proposons une nouvelle approche concernant le modèle ontologique de la compétence basé sur la roue de Deming afin de faciliter la communication et la compréhension de l'information qui assure une bonne gestion des ressources au sein de l'entreprise. Nous choisissons l'ontologie car elle permet de définir et de gérer les compétences et les connaissances dans les entreprises en assurant une modélisation d'un ensemble de connaissances dans un domaine donné. Dans ce travail, nous développons un modèle qui décrit le processus du pilotage des compétences afin d'améliorer le traitement et le partage de l'information.In this paper, we propose a new approach concerning the ontological model of competence based on the Deming wheel in order to facilitate the communication and understanding of information that ensures proper competence management of resources within the company. Ontology constitutes a pertinent mean to define and to manage competencies and knowledge in companies thanks to its suitability to model knowledge. In this work, we develop a model that describes the management of competencies in order to improve processing and sharing of information

Ku-Band Lightweight Aluminium Waveguides Fabricated by Direct Metal Laser Sintering Process

International audienceThis paper attempts to establish a good base for weight-reduction technique of microwave devices using 3D printing techniques. Experimental studies to minimize the weight of radiofrequency waveguides printed using additive manufacturing techniques are presented. Two types of Kuband rectangular waveguides (perforated and full-metal) have been printed using direct metal laser sintering (DMLS) process. The insertion losses increased by ~1.2 dB/m after applying 1 mm grids which reduces the weight of Ku-band rectangular waveguide by ~17.5%. Comparison between these measurements and those of a waveguide manufactured by conventional method was used to determine process loss. The insertion losses of full-metal waveguide manufactured using DMLS process increase by ~0.7 dB/m compared to the conventional one. Finally, RF measurements of waveguides manufactured using DMLS process show a good agreement with the simulation results

Design of a Slotted Waveguide Antenna Based on TE20 Mode in Ku-Band Suitable for Direct Metal Laser Sintering

International audienceThis paper describes the design of a novel Ku-band slotted waveguide antenna (SWA), taking into consideration the advantages and drawbacks of using a 3D direct metal laser sintering (DMLS) process. Indeed, the DMLS process makes it possible to produce a SWA with 64 radiating slots and its feeding network in a single and monolithic process. However, considering the lack of accuracy of the process, the whole design must be completely thought out and planned to avoid sensitive dimensions. Coupling irises inside such structures are elements of major sensitivity in this regard, so the radiating waveguides in the present work were designed to be TE20 ones, avoiding this kind of iris. Thus, a TE10 to TE20 converter was designed to be implemented in the overall power supply structure of an antenna array made up of four linear SWAs with 16 slots each. Both the elementary 16-slot SWA and the complete SWA with the feeding network were manufactured using DMLS. At a resonant frequency of 15 GHz, the measured realized gain is 22.26 dB with sidelobe levels below 10.1 dB. The measured reflection coefficient is lower than −12.6 dB at the center frequency. These measured performances confirm the proof of concept

Ultralight Wideband Open Boundary Quad-Ridged Antenna Manufactured Using 3D Printing Technology

In this paper, authors propose to manufacture an ultra-wideband open boundary quad-ridged antenna using a 3D printing manufacturing method followed by a chemical metallization process. The lowest operating frequency has been decreased from 550 MHz to 300 MHz using dielectric slots. Furthermore, the structure of the antenna is optimized in term of weight and reached only 1100 g for an overall size of 442x442x442 mm3. Finally, measurements show good performances over the frequency band from 300 MHz to 6 GHz

Modernizing Training on Renewable Energies in the Maghreb Transfer of experience (MOMATE)

Le projet vise à développer une formation de type DUT (Diplôme Universitaire de Technologie) en ingénierie des Energies Renouvelables et à soutenir l'émergence de technopoles spécialisées dans les Energies Renouvelables. L'objectif est de développer des compétences permettant d'acquérir des connaissances de base sur la production d'électricité à partir d'énergies renouvelables (éolienne, solaire, photovoltaïque, etc.). El proyecto pretende desarrollar un programa de formación como el DUT (Diplôme Universitaire de Technologie) en ingeniería de Energías Renovables y apoyar la aparición de tecnopolos especializados en Energías Renovables. Para ello se pretende desarrollar competencias que permitan adquirir conocimientos básicos sobre la producción de energía eléctrica a partir de energías renovables (eólica, solar, fotovoltaica, etc.)The project aims to develop a DUT (University Diploma of Technology) type training in Renewable Energies engineering and to support the emergence of technology parks specializing in Renewable Energies. The objective is to develop skills allowing to acquire basic knowledge on the production of electricity from renewable energies (wind, solar, photovoltaic, etc.). The project intends to launch a training program such as the DUT (University Diploma of Technology) in Renewable Energy Engineering and to support the appearance of engineers specializing in Renewable Energy. Para ello claims to desarrollar competences that allow to acquire basic knowledge sober the production of electrical energy from renewable energies (electrical, solar, photovoltaic, etc.)MOMAT