In our modern era of rapid development, the issue of noise pollution has become increasingly pressing. This relentless surge in noise pollution has brought about significant adverse effects on human health, extending beyond just auditory concerns. To combat this escalating problem, it becomes imperative to explore innovative solutions, such as the utilization of natural fiber-reinforced composites in acoustical applications. These composites offer environmental friendliness, cost-effectiveness, and enhanced mechanical and sound-absorbing qualities. In the context of this review, we examine various methods for evaluating both the mechanical and acoustical attributes of these composites. We examine significant acoustical metrics, including the sound absorption coefficient, sound transmission losses, and noise reflection coefficient, as well as mechanical aspects encompassing tensile, flexural, impact strengths, and hardness. Moreover, this comprehensive review delves into the realm of influencing parameters, which exert a notable impact on the mechanical and acoustical characteristics of natural fiber-reinforced composites. A range of variables is encompassed by these influencing parameters, including fiber properties, binder-filler amount, specimen thickness, etc. It is worth noting that manipulating these parameters can yield significant enhancements in mechanical strength and sound absorption. However, it is crucial to recognize and respect certain limitations to avoid adverse effects. In conclusion, this review emphasizes the importance of carefully considering these performance-influencing parameters to optimize the mechanical and acoustical attributes of natural fiber-reinforced composites. By doing so, we can fully harness the potential of these composites to address the challenges posed by escalating noise pollution effectively.

Analysis of a Solar Vehicle Canopy for Energy Generation in Outdoor Parking Lots in Mexico In Tepatitlán de Morelos, the rainy season is cloudy, the dry season is partly cloudy, and the temperatures are hot throughout the year. The temperature generally ranges from 4°C to 30°C and very occasionally drops to 0°C or exceeds 33°C. Case Study and Economic Analysis of a Solar Vehicle Canopy for Energy Generation in Outdoor Parking Lots in Mexico Regarding solar energy potential for the year 2020, the period with the highest solar incidence lasts 2.6 months, from March 19 to June 6, with an average daily incident energy per square meter of over 7.0 kWh. The period with the lowest incidence lasts 2.3 months, from November 15 to January 25, with an average daily energy per square meter of less than 5.1 kWh.

This study prеsеnts a comprеhеnsivе study focused on four distinct cеramic artifacts, rеvеrеd burial offеrings rеtriеvеd from a chambеr-tomb sitе dating back to thе latе bronzе agе (LH IIIA1 pеriod) in thе rеgion of "Vagia, " Kalapodi, East Locris, Grееcе. Emphasizing thе integration of cutting-еdgе digital tеchnologiеs in archaеological rеsеarch, specifically 3D scanning and 3D color printing mеthodologiеs, this study aims to depict thе matеrials and intricatе dеsign aspеcts of thеsе artifacts. Thе artifacts, comprising of vеssеls and ritual objеcts, wеrе mеticulously scannеd using advancеd 3D scanning tеchniquеs to gеnеratе high-rеsolution digital modеls. Thе utilization of this technology allowеd for thе dеtailеd documеntation and prеsеrvation of thеsе culturally significant itеms. Additionally, thе potential application of 3D color printing еnablеs thе crеation of physical rеplicas, providing tangiblе manifеstations for furthеr study and public еngagеmеnt whilе aiding the prеsеrvation of thе original artifacts. Thе analysis conductеd on thеsе acquired modеls rеvеalеd intricatе dеtails prеviously unsееn, shеdding light on thе craftsmanship, symbolic motifs, and probablе functions of thеsе artifacts within thе socio-cultural contеxt of thе latе bronzе agе sociеty in this rеgion. Furthеrmorе, comparativе studiеs with similar artifacts from contеmporanеous sitеs offеrеd valuablе insights into rеgional variations in cеramic production tеchniquеs and artistic stylеs. This intеrdisciplinary approach, combining archaеological еxcavation with digital scanning and 3D printing tеchnologiеs, not only contributes to thе comprеhеnsivе documеntation and prеsеrvation of thеsе invaluablе artifacts but also offеrs new insights for еnhancеd intеrprеtation and undеrstanding of thе latе bronzе agе matеrial culturе in Eastеrn central Grееcе.

This paper introduces the design and manufacturing of a filling machine specifically for granular materials. This machine is engineered to deliver fixed quantities of materials into containers, utilizing a mechanical mechanism that eliminates the need for calibration sensors. The operation employs a quantitatively controlled delivery system through an upright cylindrical vessel, topped with an aperture for material loading. The procedural sequence of the machine is divided into two main stages: the loading stage and the filling stage. During the loading stage, the cylinder aligns with a source tank, allowing material to enter through the top conduit. Following this, the machine transitions to the filling stage, As the machine moves to the filling stage, the linear motion mechanism adjusts the position of the cylinder, closing the upper inlet and revealing the lower outlet at the same time. This port, which remains closed during the loading phase to prevent leakage, is opened to allow the material to effectively unload into an external container, and begin the filling process. The machine’s capability to fill containers up to 500 ml. The discharge of materials is controlled by a single-ended pneumatic piston, ensuring accurate and consistent delivery into containers. The entire process is automated through an Arduino microcontroller, which coordinates two infrared (IR) sensors and a belt drive system, enabling efficient and reliable operations. Furthermore, the machine's design is tailored for accessibility and adaptability, with all components manufacturable via 3D printing within a 200x200 mm build area. The open-source nature of the design and software invites enhancements and adaptations from the broader community, fostering a collaborative environment for ongoing development and innovation in automated filling systems. This systematic and uniform operation of the machine is essential for applications requiring high precision in material filling.

Machine learning can be described as a part of AI which enables computers to learn new tasks and information automatically. This consists of developing models and algorithms that let computers draw conclusions or make forecasts from data patterns. Machine learning has gained popularity recently for its ability to handle datasets and make faster more accurate decisions compared to traditional methods. This paper discusses the comparison, between ML and DL, and the rise of ML in recent years and the increasing use of neural networks as well as the concepts of supervised and unsupervised learning.

Este documento presenta el desarrollo de un asistente virtual implementado en la plataforma de mensajería Telegram. El bot creado tiene la capacidad de proporcionar información sobre el sílabo de un curso específico y enviar archivos de audio. Se describe la metodología utilizada para el diseño e implementación del asistente, así como los resultados obtenidos y una discusión crítica sobre su eficacia.

Este es un manual sobre como armar y conectar un sistema neumático en el simulador FESTO paso a paso, además de también explicar paso a paso un calculo neumático básico que se suele presentar mucho en la carrera de ingeniería en Mantenimiento Industrial.

Abstract The planning, construction, and upkeep of physical structures, including roads, bridges, buildings, and other types of buildings, are the primary responsibilities of civil engineers. Finding cracks and other flaws in structures is one of the more difficult tasks in the field of civil engineering. These flaws can put the structure's stability and safety at risk. A variety of structures, such as buildings, bridges, pipelines, and aircraft components, are all susceptible to developing cracks as a result of inherent flaws. Finding cracks is absolutely necessary in order to guarantee the structural soundness of these assets and guarantee their safety. In this article, we will investigate a variety of techniques and technologies that are utilized for crack detection, as well as the applications for each of these. The construction industry has long recognized the need of building fracture detection as a primary priority. Cracks can emerge in any part of a building, and their presence is typically indicative of problems with the structure or the foundation of the building. Finding these cracks early on is essential for ensuring the security and steadiness of buildings, not only during the construction period but also after they have been built and during their lifetimes. In this review essay, we examine a number of different strategies and methodologies that are utilized in creating crack detection, as well as the benefits, limitations, and difficulties associated with each.

“Análisis de viabilidad para la implementación de un departamento de mercados internacionales en Hamburgo, a partir de la baja de venta, afectada por los aconteceres políticos y sanitarios de los últimos tiempos”.

The new developments of extra heavy crude oil in Orinoco Oil Belt (OOB) will have to affront important challenges. Assuring the resource extraction without impact negatively the original environment will be the most important investment in these remote areas. Restricted access due topographical irregularities, environmental restrictions and lack of production facilities are typical problems in new exploitation OOB areas. The study is based on the technical and economic viability evaluation for the development of new opportunities in Zuata Field; considering volumetric milestones for next 6 years, the new areas and thermal projects represent the most important production booster. Using diagnostic and planning resources as probabilistic analysis, economic evaluations, geologic configurations, possible projected sceneries were obtained to find solutions, in order to achieve the best cost-benefits relationship in exploitation schemes for new fields. As principal results we can mention: - Most optimistic probabilistic prediction allows drilling 36 wells per year. This scheme represents an accumulate increase of 53724 b/d in six years. - Less optimistic probabilistic prediction allows drilling 16 wells per year. This scheme represents an accumulate increase of 35904 b/d in six years. - Six-year field development contemplating temporal facilities is not technically viable. - Data acquisition strategies, focus in decreasing the uncertainty in the geological model must be taken into account in the aggressive exploitation schemes. The results of this study could be used as a decision support and background for others similar business in Orinoco Oil Belt. Since all new ventures are looking for earlier solutions in order to reduce costs and improves profits without having a negative incidence on the environment and the reservoir properties.