Global sustainability initiatives increasingly rely on innovative technologies to safeguard biodiversity and mitigate environmental impacts. In this paper, we present EcoWatch, a novel framework that leverages Wireless Multimedia Sensor Networks (WMSNs) using LoRaWAN technology for efficient data transmission to enable real-time bird species detection and counting in their natural habitat. EcoWatch combines YOLOv8 You Only Look Once for object detection and Learning to Count Everything (LTCE) for precise object counting at the base station. To address the inherent limitations of WSNs in terms of energy and bandwidth, EcoWatch incorporates a multi-level ROI-based video compression technique. Extensive evaluation demonstrates that EcoWatch significantly reduces energy consumption (up to 58.7%) and data transmission load (by 69.8%) compared to other methods while maintaining acceptable image quality, detection and counting accuracy. Notably, EcoWatch exhibits robust performance across seasons and adapts well to varying environmental conditions, making it a promising solution for real-world ecological monitoring applications.
Global sustainability initiatives increasingly rely on innovative technologies to safeguard biodiversity and mitigate environmental impacts. In this paper, we present EcoWatch, a novel framework that leverages Wireless Multimedia Sensor Networks (WMSNs) using LoRaWAN technology for efficient data transmission to enable real-time bird species detection and counting in their natural habitat. EcoWatch combines YOLOv8 You Only Look Once for object detection and Learning to Count Everything (LTCE) for precise object counting at the base station. To address the inherent limitations of WSNs in terms of energy and bandwidth, EcoWatch incorporates a multi-level ROI-based video compression technique. Extensive evaluation demonstrates that EcoWatch significantly reduces energy consumption (up to 58.7%) and data transmission load (by 69.8%) compared to other methods while maintaining acceptable image quality, detection and counting accuracy. Notably, EcoWatch exhibits robust performance across seasons and adapts well to varying environmental conditions, making it a promising solution for real-world ecological monitoring applications.
The global wind energy industry achieved a significant milestone by reaching a total capacity of one terawatt (TW) by the end of 2023, underscoring the increasing importance of wind energy as a sustainable energy source (Global Wind Energy Outlook, 2022). This study focuses on the simulation and dynamic analysis of an H-Darrieus wind turbine rotor using 3D Finite Element Analysis (FEA). Key structural parameters, including natural frequencies, associated vibration modes, and mass participation rates, were determined to optimize the rotor performance. A novel blade design is proposed in this work, offering a lighter and more robust alternative to traditional rotor blades manufactured from composites, like fiberglass-polyester, fiberglass-epoxy, or combinations with wood and carbon. The lighter design enhances the startup performance at low wind speeds, while the improved strength and fixing mechanisms ensure resilience against the increasingly severe sandstorms reported in recent years. The vibration dynamics of the rotor under critical wind loads were analyzed using the SolidWorks Simulation software, yielding highly satisfactory results. The stability and reliability of the rotor were validated, as the dynamic performance indices, and the quality criteria meet the requirements for optimal operation.
Let (X,d,μ) be a space of homogeneous type and L be a nonnegative self-adjoint operator on L2(X) whose heat kernels satisfy Gaussian upper bounds. In this article, we introduce the weighted variable Besov space associated with the operator L and demonstrate that Peetre maximal functions can be used to characterize this space. Furthermore, we provide a detailed study of its atomic decompositions.
Résumé : Centrée sur l’adaptation linguistique et culturelle des textes littéraires en classe de FLE, la présente contribution étudie les effets du recours aux textes adaptés sur la compréhension. Une compréhension réelle, qui suppose l’exploitation de tous les éléments linguistiques et culturels que contiennent les textes originaux, est en effet freinée par les omissions effectuées par les enseignants. Ces omissions, même si elles sont effectuées au niveau des séquences descriptives, nuisent à la compréhension des supports lus. Ce sont les résultats obtenus suite aux expérimentations menées et à la comparaison des textes originaux aux textes adaptés.
Mots-clés : Adaptation linguistique et culturelle ; textes littéraires ; classe de FLE ; compétence de compréhension
The field of food preservation has seen remarkable advancements, driven by the need to enhance food quality, safety, and sustainability. This paper provides a comprehensive examination of the latest food preservation technologies, detailing their principles, applications, and impacts on the food industry. Traditional methods such as canning, freezing, and drying are discussed alongside innovative techniques like high-pressure processing (HPP), pulsed electric fields (PEF), and cold plasma. Emphasis is placed on the benefits these advanced methods offer, including extending shelf life, preserving nutritional and sensory qualities, and reducing food waste. The review also addresses the challenges associated with each method, such as equipment costs, scalability, and potential health effects. By synthesizing current research and technological developments, this paper aims to provide valuable insights into how these technologies can be utilized to optimize food preservation processes. It highlights the importance of these advancements for pedagogy, scientific research, and societal benefits. Furthermore, the review underscores the necessity for continued research to address existing challenges and enhance the efficiency and applicability of these technologies. This comprehensive analysis is intended to assist researchers, industry professionals, and policymakers in understanding the state of food preservation technologies and promoting their use to improve food quality and safety.
Background and Objective: Plants of the genusMarrubium are used to cure several infectious diseases like asthma, rheumatoid and diabetes.This study investigatedin vivo antihyperglycemic capacity of the methanolic fraction (MeOHE) of twoMarrubium species via animal model.Materials and Methods: The plant extracts were investigated both qualitatively and quantitatively to reveal their phytochemical composition.Pharmacologically speaking, Wistar albino rats of either sex (150-180 g) were used to investigate the antidiabetic effect using 25 rats in each ofthe two used approaches; respectively Oral Glucose Tolerance Test (OGTT) and streptozotocin-induced diabetes approaches. In addition, variousbiochemical parameters were investigated to confirm the pharmacological quality of our plants. Evaluated for their possible antidiabetic effectduring two consecutive weeks for glycemia levels (2 hrs period). Results: Data revealed that MeOHE induced a significant antihyperglycemic effect,in whichM. deserti, a slight decrease in the glucose level at (143±0.5 mg/dL) was obtained while a reduction was recorded forM. vulgare(71.5±0.75 mg/dL) with a same observation for triglycerides, cholesterol, glutamic-oxaloacetic transaminase (TGO), glutamic pyruvic transaminase(TGP), creatinine comparing to standard. Moreover, the result showed high levels of phenolic and flavono{\"ıds content. Conclusion: This modestwork confirmed once again the real pharmacological capacity of vegetals and their possible implication to cure diabetes and complications relatedto it underlying the antihyperglycemic activity of these plants.
This study investigates the feasibility of solar drying of fruits and vegetables in El Hodna region, M'Sila, Algeria, by examining key climatic factors such as solar radiation, air temperature, humidity, and air velocity. Solar drying is a sustainable food preservation method that leverages solar energy to remove moisture from agricultural products. El Hodna region, characterized by abundant sunlight, high temperatures, and favorable air velocity, presents an ideal setting for this technique. By conducting a comprehensive analysis of climatic data, this study aims to ascertain the region's suitability for efficient solar drying. Climatic data, including solar radiation levels, air temperature, humidity, and air velocity, were collected from meteorological sources. The analysis revealed that the region receives high levels of solar radiation, averaging 6.5 kWh/m²/day, and experiences air temperatures ranging from 25 to 35°C, which are conducive to drying. Additionally, the relative humidity, averaging around 40%, facilitates effective moisture removal, while air velocity, typically between 2 to 4 m/s, helps accelerate the drying process by enhancing moisture evaporation. These findings indicate that the climatic conditions in El Hodna are highly favorable for solar drying. The study concludes that solar drying is a practical and viable method for preserving fruits and vegetables in El Hodna, M'Sila. Implementing this technique can significantly reduce post-harvest losses, enhance food security, and promote sustainable agricultural practices. The potential benefits extend to local farmers, providing them with a cost-effective and eco-friendly preservation method that leverages the region’s natural climatic advantages.