Conference Agenda

This research project focuses on developing a prototype of a smart firefighter helmet integrating advanced technology to enhance safety and efficiency during wildfire operations. The helmet includes a pulse oximeter for health monitoring, a GPS module for precise location tracking, a gyroscope for position detection, and environmental sensors for temperature recording. Extensive research ensured the selection of suitable sensors, prioritizing accuracy and reliability under extreme conditions.
The development process involved implementing a wireless communication system based on LoRa technology, enabling rapid and secure data transmission from the helmet to a central platform. This feature enhances operational coordination, facilitating quicker and more precise emergency responses, thereby optimizing firefighter safety and efficiency. The helmet's design emphasizes comfort for prolonged use, incorporating a custom clip for the pulse oximeter to ensure a secure fit without interfering with field operations.

The smart firefighter helmet represents a significant advancement in safety and emergency management technology. By monitoring firefighter health, providing precise location tracking, and measuring critical environmental conditions, the helmet improves operational coordination and strategic decision-making. In dynamic and hazardous situations like wildfires, this smart helmet is crucial for ensuring firefighters are well-monitored and equipped, enabling a safer and more effective emergency response.

Abstract – The objective of this research is to implement a Behavior-Based Safety Program (BBSP) in the company UNNA TRANSPORTES S.A.C., in the Lima Metro Line 1 project, in order to reduce labor incidents in the station area. Through a behavior-based safety diagnosis, the main accidents and their causes were identified, highlighting unsafe acts (43%) and unsafe conditions (25%) as predominant factors. The program was designed in six phases, which included team building, diagnosis, training, dissemination, field observation and impact evaluation. The results showed a 31.2% reduction in accidents, especially in incidents of aggression (61.2%), entrapment (35.7%) and overexertion (33.3%). The research also highlighted the importance of staff motivation, compliance with procedures and management commitment to the success of the program. The PSBC proved to be an effective tool for improving occupational safety, aligning with previous studies showing its positive impact on the reduction of unsafe behaviors and occupational accidents.

Keywords-- Behavior-based safety, occupational incidents, occupational accidents, occupational safety.

This study aimed to assess wildfire vulnerability in the Michiquillay River micro-watershed, Cajamarca – 2024, using remote sensing and geospatial analysis. Sentinel-2 imagery and spectral indices NDVI and NBR were employed to identify high-risk areas. The methodology included a multi-temporal analysis of satellite images from June, September, and November 2024, processed in ArcGIS Pro. The average NDVI was calculated at 0.4589, and the average NBR ranged from -0.092 to 0.3, both combined into a vulnerability index. Additionally, factors such as altitude (2,937 – 3,994 m.a.s.l.), annual precipitation (740 – 1,030 mm), and slopes greater than 27° were evaluated. Results showed that 32% of the area presents high or very high vulnerability, mainly concentrated in agricultural and pasture areas, whereas forested regions have lower risk due to higher moisture content. The study concluded that geospatial analysis effectively identifies critical areas and that the combination of NDVI and NBR is a reliable approach for assessing fire susceptibility. The findings will support the planning of wildfire prevention and risk management strategies in the Cajamarca region.

This review aims to identify and classify the most relevant seismic precursors in recent scientific literature to contribute to research and the reduction of earthquake-related risks. To achieve this, studies from the SCOPUS database from the last 5 years were considered, and a total of 56 articles were selected and analyzed. As a result, a classification based on 13 new categories of seismic precursors is proposed, with "ionospheric phenomena," "rock deformation/stress," and "underground gases" being some of the most studied categories in the analyzed literature. However, while certain precursors have been explored, there are still approaches and types of precursors that require greater attention and development in future studies.

The objective of this research was to develop and evaluate a forced convection mixed type solar dryer incorporating an artificial multi-arc ribbed roughness coupled to the top of the absorber plate for the drying process of quinoa (Chenopodium quinoa Willd) and compare it with open sun drying. The solar dryer is low cost and easy to build, has a drying chamber and an air blower system that operates autonomously with photovoltaic energy. Thermal performance and drying kinetics were evaluated for quinoa. Performance tests were conducted for mass flow rates of 0.189 kg/min, 1.197 kg/min, 1.547 kg/min and 1.893 kg/min. The results reveal that, the maximum average thermal efficiency of the solar collector is 77 % for an average solar irradiance of 1055 W/m2 and for a mass flow rate of 1.197 kg/min where the average drying temperature was 56 °C. The maximum average overall efficiency achieved was 23.28 % and the minimum drying time was 2.1 hours, for a flow rate of 1.197 kg/min. The mixed solar dryer has a maximum efficiency for a forced flow of 1.02 kg/min and the drying time is reduced to 68% compared to open sun drying. The Page model is the best fit for describing the drying kinetics of quinoa under forced flow conditions, and the Wang and Singh model is the best fit for natural convection drying of the dryer and open sun drying of quinoa.

Drivers of environmental change are putting the biodiversity of the coastal hills of Lima, Peru, at risk, with significant impacts on Vasconcellea candicans, an endemic and critically endangered tree species. This study modeled its current distribution to identify priority conservation areas and propose strategies to address threats such as urban expansion and climate change occurrence records from the Global Biodiversity Information Facility (GBIF) and environmental variables from WorldClim, The Shuttle Radar Topography Mission (SRTM) and SoilGrids were used, eliminating collinearity using the Variance Inflation Factor (VIF). Through the MaxEnt model, validated with an average AUC of 0.989, it was determined that 1.60% of the territory of Lima (556.55 km²) presents high suitability for the species. At the same time, the analysis of Landsat images (1990-2023) showed accelerated urban growth, restricting the available habitat. Urban expansion, land use change and unregulated tourism emerge as the main threats, compromising a species that plays an essential ecological role by capturing atmospheric water and sustaining biodiversity, in addition to having a high cultural and historical value. These results highlight the importance of adopting conservation measures based on scientific evidence, aimed at mitigating human and climatic pressures, ensuring the preservation of Vasconcellea candicans and the essential ecosystem services that maintain environmental balance and benefit local communities.