IoT-Enabled Smart Parking: Enhancing Efficiency and Sustainability in Smart Cities

The field of smart parking is growing rapidly and has many potential applications in densely populated urban areas. Internet of Things (IoT) and Arduino-based smart parking systems offer an innovative solution to solve parking problems in real time. Among other things, these systems reduce traffic congestion, improve road safety, reduce greenhouse gas emissions, and improve user experience. In this paper, we present a smart parking system that uses an innovative architecture and algorithm to optimize vehicle parking. The system also tracks cars, their location, entry and exit details, and account management. An infrared sensor is integrated into the system to monitor the entry and exit of vehicles. This sensor uses beams of light to detect the presence of vehicles in a specific parking area, allowing for efficient use of available parking space. This project has many benefits, such as optimized space utilization, reduced congestion and pollution, and an improved user experience. The system can be deployed in a variety of environments, including underground parking garages, shopping malls, airports, and train stations

SPATIAL DATA INFRASTRUCTURE. BENEFITS AND STRATEGY

Nowadays, the geoscience data have become widely available in different organizations, which play a very important role in decisions-making at different levels (social, economic, political…). However, these organizations use standards, technologies and policies that differ from one to another. Therefore, this information is increasingly being distributed widely and become divorced from their original context or had remained limited to a small scale. Hence, the need for a spatial data infrastructure (SDI) becomes a necessity in order to facilitate the creation, sharing, and access to geospatial data, thus the exchange of knowledge between them, using a minimum set of standard practices, protocols, and specifications. The establishment of a spatial data infrastructure is to create conditions to ensure free access of public authorities, local authorities, organizations and citizens to spatial data. This paper presents a preliminary study of implementation of a spatial data infrastructure. It introduced the SDI developments in USA, Canada and Europe and summarized the relevant benefits

Overview of E-learning Platforms for Teaching and Learning

Distance learning experiments have been launched since 2010 in several Moroccan universities as part of an experimental approach. It, therefore, seems to us that a strategy must be put in place to give this choice of education its place in training and grant it the means necessary to achieve these objectives. The objective of this paper has presented an overview, of free and proprietary e-learning platforms, their functional architectures, as well as the types of e-learning devices that can create from platforms e-learning. To deduce the state of the art of the e-learning provisions of Moroccan universities and compare them with the e-learning provisions of European and American universities

IoT-Enabled Smart Parking: Enhancing Efficiency and Sustainability in Smart Cities

The field of smart parking is growing rapidly and has many potential applications in densely populated urban areas. Internet of Things (IoT) and Arduino-based smart parking systems offer an innovative solution to solve parking problems in real time. Among other things, these systems reduce traffic congestion, improve road safety, reduce greenhouse gas emissions, and improve user experience. In this paper, we present a smart parking system that uses an innovative architecture and algorithm to optimize vehicle parking. The system also tracks cars, their location, entry and exit details, and account management. An infrared sensor is integrated into the system to monitor the entry and exit of vehicles. This sensor uses beams of light to detect the presence of vehicles in a specific parking area, allowing for efficient use of available parking space. This project has many benefits, such as optimized space utilization, reduced congestion and pollution, and an improved user experience. The system can be deployed in a variety of environments, including underground parking garages, shopping malls, airports, and train stations

Designing the Self-Management Space of a New Smart Learning Management System

This work is mainly based on designing an IMS-LD model for self-management space for a new LMS. Our work is first to think about the conditions for creating a real LMS between learners and teachers. we try to adapt the IMS-LD model with a self-management model based on the hybridization between four learning theories as to the basis for teaching this LMS, namely traditional pedagogy, behaviorism, cognitivism, and social constructivism. These pedagogies have already proven themselves, mainly in classroom learning situations

Overview of E-learning Platforms for Teaching and Learning

Distance learning experiments have been launched since 2010 in several Moroccan universities as part of an experimental approach. It, therefore, seems to us that a strategy must be put in place to give this choice of education its place in training and grant it the means necessary to achieve these objectives. The objective of this paper has presented an overview, of free and proprietary e-learning platforms, their functional architectures, as well as the types of e-learning devices that can create from platforms e-learning. To deduce the state of the art of the e-learning provisions of Moroccan universities and compare them with the e-learning provisions of European and American universities.</p

Assessing hydrological response to future climate change in the Bouregreg watershed, Morocco

Hydrological systems in watersheds encounter growing challenges attributed to climate change, marked by shifts in precipitation patterns, heightened drought severity, and altered runoff dynamics. This study explores the implications of these changes for streamflow in the vulnerable Bouregreg catchment.This study used a novel approach in the Bouregreg watershed to address this issue by applying the underutilized GR2M model, deviating from the prevalence of ArcSWAT and other models in previous studies. It incorporates bias-corrected outputs from the CNRM-CM5 climate model, sourced from the NASA Earth Exchange Global Daily Downscaled Projections (NEX-GDDP). The objective was to project monthly streamflow for the 2040s (2030-2050) and compare it with the reference period (1982-2001), considering the Representative Concentration Pathways (RCPs): medium RCP4.5 and high RCP8.5. The methodology started with predicting future precipitation and temperatures using the regional climate model. Then, the future average rainfall for each sub-basin was determined using the Thiessen method, and the future potential evapotranspiration (PET) was estimated through the Thornthwaite formula, considering the model-predicted temperatures. Following this, the hydrological model was calibrated and validated, leading to streamflow projection for the 2040s period under the two emission scenarios.The choice to utilize climate models and hydrological modeling techniques was driven by the need to provide valuable insights for water resource management. By projecting future streamflow under different emission scenarios, the study aimed to inform decision-makers about the potential impacts of climate change on water resources.The study's findings revealed that significant climatic changes would occur in the Bouregreg catchment under the RCPs. Projections indicated a noticeable increase in mean temperatures, with expected rises of about 1.32°C for RCP4.5 and 1.69°C for RCP8.5. Additionally, the PET is foreseen to rise by 5.38 mm under RCP4.5 and 6.27 mm under RCP8.5, while precipitation levels are anticipated to experience significant reductions, decreasing by 33.74% for RCP4.5 and 40.20% for RCP8.5. These pronounced climate alterations are projected to lead to an annual decrease in streamflow. For RCP4.5, this reduction is estimated at 44.63%, and for RCP8.5, it is even more significant at 64.30%. The alterations projected for the 2040s signify a substantial departure from the conditions observed during the reference period of 1982-2001.The importance of these findings lies in their utility for decision-makers in developing effective strategies and facilitating the implementation of adaptation measures for managing water resources and ensuring their sustainable use amid evolving climate conditions

Generate a Meta-Model Content for Collaboration Space of Learning Management System Compatible with IMS-LD

The context of this work is that of designing a Instructional Management Systems - Learning Design (IMS-LD) model for collaboration space of a Learning Management System (LMS). Our work is specifically in the field or seeking to promote, by means of information technology from a distance. Our approach is to first think about the conditions for creating a real collaboration space between learners, and designing the IT environment that supports this space. In this paper, we try to adapt the IMS-LD model with a collaboration model for Learning Management System based on the social constructivism. This adaptation will go through three stages. Firstly, the development of an LMS model. Secondly, the study of correspondence between the developed model and IMS-LD model. Finally their transformation to IMS-LD model

Application of Data Integrity Algorithm for Geotechnical Data Quality Management

The aim of this research work is to ensure the integrity and correction of the geotechnical database which contains anomalies. These anomalies occurred mainly in the phase of inputting and/or transferring of data. The algorithm created in the framework of this paper was tested on a dataset of 70 core drillings. In fact, it is based on a multi-criteria analysis qualifying the geotechnical data integrity using the sequential approach. The implementation of this algorithm has given a relevant set of values in terms of output; which will minimalize processing time and manual verification. The application of the methodology used in this paper could be useful to define the type of foundation adapted to the nature of the subsoil, and thus, foresee the adequate budget