IoT devices controlled using mobile apps

Internet of Things (IoT) shows no sign of slowing down, particularly in the field of mobile applications because many IoT devices can be controlled through an application on a smartphone. There is a clear intersection between the Internet of Things (IoT) and artificial intelligence (AI). IoT allows you to connect machines and use the data generated from these machines. Artificial intelligence is the simulation of intelligent behavior in different kinds of machines. Leading manufacturers like Samsung and Apple obviously participate in the rise of artificial intelligence. The implementation of artificial intelligence (AI) and Internet of Things within terminals with touch screen is spreading at lightning speed in smartphones. With the advantage of detecting objects in front of the camera of lowering energy consumption and better guaranteeing data security than the traditional approach in the cloud. In this paper, authors proposed and present a home automation system to connect artificial intelligence (AI) and internet of things (IoT) controlled with a smartphone. The IoT system proposed allow any user to manage his house on site or remotely to fight against any intrusion or other natural disasters (Wind, Erosion, etc ...) that can cause considerable damage. This solution based Raspberry Pi technology, consist to manage and monitor a home remotely without human intervention by automating the entire house

Cancer pulmonaire: parcours de soins au service de radiothérapie à l’institut national d’oncologie de Rabat

L'objectif de cette étude est d'expliquer la discordance entre le nombre important de patients présentant un cancer du poumon localement avancé demandeurs de consultations en service de radiothérapie et le faible nombre de patients effectivement traité. Il s'agit d'une étude décrivant le circuit de soins des patients admis au service de radiothérapie de l'Institut national d'oncologie de Rabat entre le premier mars 2011 et le 29 février 2012 pour la prise en charge d'un cancer du poumon inopérable et/ou non résécable. On a utilisé pour la collecte des données les dossiers cliniques, le registre des nouveaux patients du bureau des admissions de l'institut ainsi que les registres des rendez-vous de consultation et de traitement du service de radiothérapie. 117 patients ont été collectés. Le stade de la maladie n'a pu être déterminé que chez 102 patients, on a ainsi trouvé 53 cancers non métastatiques et 49 cancers métastatiques. Chez les patients avec un cancer non métastatique une radiothérapie palliative a été réalisée chez 9 patients, chez 2 patients la radiothérapie a été contre indiquée, une chimiothérapie néo-adjuvante a été réalisée chez 7 patients et la radio-chimiothérapie concomitante d'emblée fut proposée à 35 patients, mais 34 patients seulement ont pu avoir leur première séance de radiothérapie à visée curative. Cette étude nous a permis de décrire le circuit de soins de nos patients en repérant les points critiques, auxquels on propose des mesures correctives

Caractérisation De La Sécheresse Climatique Du Bassin Versant D’oum Er Rbia (Maroc) Par Le Biais De L’indice De Précipitation Standardisé (SPI)

In recent decades, the drought becomes one of the important phenomena resulting from and climate change variability. Its indirect effects in the time can have an economic, agricultural, hydrological or social impact. The aim objective of this study is to characterize the climate drought at the catchment level of Oum Er Rbia (Morocco) for the period 1985/2013 through the calculation of the Standardized Precipitation Index (SPI) for the four stations studied: El Jadida, Safi, Beni Mellal and Khouribga. The Standardized Precipitation Index (SPI) originally proposed by Mckee et al. (1993) is used as an index of follow-up to the drought and recommended by the World Meteorological Organization. The results obtained after the calculation of this index have enabled us to locate the drought periods of more remarkable in their intensity, their duration and their frequency

Relation entre la RSE et la performance financière des entreprises : Revue et analyse des principales approches empiriques

In a climate of fierce competition and tightening regulations, companies are called upon to be more efficient at various levels. To achieve this, they need to be constantly attentive to the expectations of all stakeholders, especially those with more clout and power. The objective is the quest for overall performance and, in particular, financial performance, for any company wishing to be competitive and to perpetuate its existence. This paper offers to researchers a summary of empirical work devoted to the study of the link between corporate social responsibility and their financial performance. Indeed, these works are very numerous and varied. This finds its justification in the approach and method of investigation used and also in the context to which they relate. To carry out our work, we presented the main definitions attributed to CSR and to financial performance with its measurement variables. Finally, we presented a review of the main works explaining the link that may exist between CSR and FP. Keywords : CSR, Financial Performance, method of investigation, context JEL Classification : M14, L25, L20. Paper type : Theoretical Research.Dans un climat de concurrence acharnée et du durcissement de la réglementation, les firmes sont appelées à être plus performantes à différents niveaux. À cet effet, elles sont amenées à être en permanence à l’écoute des attentes de toutes les parties prenantes, notamment celles ayant plus du poids et du pouvoir. L’objectif étant la quête de la performance globale et, en particulier, la performance financière, pour toute entreprise qui se veut compétitive et désirant à pérenniser son existence. Cet article propose aux chercheurs une synthèse des travaux empiriques consacrés à l’étude de la relation entre la responsabilité sociale des entreprises et leur performance financière. En effet, ces travaux sont très nombreux et variés. Cela trouve sa justification dans la démarche et la méthode d’investigation utilisée et également dans le contexte auxquelles ils se rapportent. Pour la réalisation de notre travail, nous avons exposé les principales définitions attribuées à la RSE et à la performance financière et ses variables de mesures. Enfin, nous avons présenté une revue des principaux travaux explicitant le lien pouvant exister entre la RSE et la PF. Mots clés : RSE, Performance financière, méthode d’investigation, contexte. Classification JEL : M14, L25, L20. Type de l’article : Article théorique

Optimizing olive disease classification through transfer learning with unmanned aerial vehicle imagery

Early detection of diseases in growing olive trees is essential for reducing costs and increasing productivity in this crucial economic activity. The quality and quantity of olive oil depend on the health of the fruit, making accurate and timely information on olive tree diseases critical to monitor growth and anticipate fruit output. The use of unmanned aerial vehicles (UAVs) and deep learning (DL) has made it possible to quickly monitor olive diseases over a large area indeed of limited sampling methods. Moreover, the limited number of research studies on olive disease detection has motivated us to enrich the literature with this work by introducing new disease classes and classification methods for this tree. In this study, we present a UAV system using convolutional neuronal network (CNN) and transfer learning (TL). We constructed an olive disease dataset of 14K images, processed and trained it with various CNN in addition to the proposed MobileNet-TL for improved classification and generalization. The simulation results confirm that this model allows for efficient diseases classification, with a precision accuracy achieving 99% in validation. In summary, TL has a positive impact on MobileNet architecture by improving its performance and reducing the training time for new tasks

Machine learning for real-time prediction of complications induced by flexible uretero-renoscopy with laser lithotripsy

It is not always easy to predict the outcome of a surgery. Peculiarly, when talking about the risks associated to a given intervention or the possible complications that it may bring about. Thus, predicting those potential complications that may arise during or after a surgery will help minimize risks and prevent failures to the greatest extent possible. Therefore, the objectif of this article is to propose an intelligent system based on machine learning, allowing predicting the complications related to a flexible uretero-renoscopy with laser lithotripsy for the treatment of kidney stones. The proposed method achieved accuracy with 100% for training and, 94.33% for testing in hard voting, 100% for testing and 95.38% for training in soft voting, with only ten optimal features. Additionally, we were able to evaluted the machine learning model by examining the most significant features using the shpley additive explanations (SHAP) feature importance plot, dependency plot, summary plot, and partial dependency plots

Développement d'un simulateur de terres agricoles et de politiques pour promouvoir des politiques climato-intelligentes

International audienceFeeding 1.5 billion people by 2030, and 2 billion by 2050, while mitigating and adapting to climate change, is a daunting challenge that countries in Africa are attempting to address. In this paper we report in a project between Mohammed VI Polytechnic University (UM6P) and Climate Interactive (CI). Our tool, the Agriculture and Land Policy Simulator (ALPS) helps policy-makers and stakeholders make climate-smart decisions in their agriculture strategies. ALPS models the intersections among land, agriculture, and climate. We base our work on the Climate Smart Agriculture (CSA) concept, the three pillars of which are: food security, resilience to climate changes, and mitigation of emissions. Using System Dynamics, a multidisciplinary team of agronomists, agricultural economists, and system dynamics developed the causal relationships. We refined system structure and formulations based on discussion with experts, existing research, and analysis of strategic policy documents. The model parameters are set to fit historical data from a variety of sources. In this paper we present the Moroccan case of ALPS, incorporating significant improvements over prior work and fitted to the Morocco policy context. The Green Morocco Plan (known by the French acronym PMV) is specifically used for simulation and modeling exercise. The simulator allows the user to test assumptions and scenarios through varying levels on different policy components. ALPS has previously been used to simulate the Ethiopian context, and future development will improve both these cases and will be extended to cover several African countries. The causal loop below summarizes all interactions between the model variables that interlink agriculture sectors. Food Demand increases with population and living standards. The user makes choices to ensure Food Available-Production and Imports less Losses and Exports-can meet demand. Land use can change between five categories-Cropland, Pasture, Forest, Grassland, and Dessert. The availability and need for irrigation depends on rainfall and infrastructure. These physical limits enforce the constraints the agriculture system faces. Action to meet food demand also create undesirable consequences. Countries have goals such as reducing greenhouse gas emissions and deforestation. ALPS includes direct emissions from crop and livestock farming, as well as emissions from land-use changes and the stocks of carbon sequestered in soil and biomass. These help the user see the impact on other goals when meeting food needs

Flexible Ureteroscopy Lithotripsy Operative Time Prediction Model for the Treatment of Kidney Stones

Effective time and resource management is crucial not only in the operating room but also in healthcare supply chains. Healthcare supply chains involve the movement of medical supplies, equipment, and medications from manufacturers to healthcare providers. Effective management is crucial to ensuring that patients receive the care they need promptly. In the operating room, it is essential to have an information process in place to effectively manage time and resources during the current surgical procedure. This paper focuses on developing a predictive model for the operating time of flexible ureteroscopy for kidney stones. The model can forecast surgical and preoperative time based on patient characteristics and surgeon experience. The model can assist in planning ureteroscopy procedures and preventing surgical complications, which is crucial not only for the operating room but also for healthcare supply chains. The paper presents a study that compares different feature selection methods and regression techniques. The study found that sequential backward selection combined with the extra tree regressor was the most effective approach

Innovation produit et performance commerciale des entreprises membres des clusters dans le contexte marocain

Dans le contexte de l’économie de la connaissance, les recherches qui ont tenté d’explorer l’impact de l’innovation produit sur la performance commerciale des entreprises membres des clusters sont peu nombreuses en particulier dans le contexte Marocain.Ce papier a pour objectif principal de contribuer  à l’analyse de la relation entre l’innovation produit et la performance commerciale des entreprises adhérentes à  ces  réseaux  d’entreprises marocaines.Après avoir réalisé une exploration qualitative qui s’est basée sur l’administration d’un guide d’entretien auprès des institutionnels et des responsables de certaines clusters marocains, une collecte finale de données est élaborée selon une perspective quantitative, et des analyses statistiques factorielles ont été mises en œuvre en vue de tester les hypothèses de la recherche