| 25-06-2024 |
Comunicación y sensado inalámbrico integrado para IoT en entornos acuáticos
Esta investigación explorará el impacto de la reflexión de señales inalámbricas en el agua en las comunicaciones en entornos acuáticos con un enfoque experimental. La primera parte de la investigación consiste en familiarizarse con el modelo de propagación de dos rayos, su simulación y el modelado/análisis de datos recopilados en campañas experimentales anteriores. La segunda parte involucrará experimentos del mundo real con plataformas/dispositivos basados en tecnologías comerciales como WiFi, LoRa y/o BLE. El objetivo es validar la viabilidad de i) la detección del nivel del agua con señal inalámbrica y ii) la evaluación del rendimiento de la comunicación inalámbrica cuando se ve influenciada por variaciones en el nivel del agua.
Keywords:
computación
Ingenieria electrica
comunicación
sensores
redes
IoT
microcontroladores
lora
wireless
wifi
mareas
nivel del agua
Prerequisitos:
no tiene.
Tiene un método de evaluación Nota 1-7, con 10 créditos y tiene 2/2 vacantes disponibles |
Mentor(es): Ver en la plataforma |
| 25-06-2024 |
Integrated sensing and wireless communication for IoT in water environments
This research will explore the impact of wireless signal reflection off water on communications in aquatic environments with an experimental focus. The first part of the research involves familiarizing oneself with the two-ray propagation model, its simulation, and the modeling/analysis of data collected in prior experimental campaigns. The second part will involve real-world experiments with platforms/devices based on commercial technologies such as WiFi, LoRa, and/or BLE. The goal is to validate the feasibility of i) water level sensing with wireless signal and ii) the assessment of wireless communication performance when influenced by variations in the water level.
Keywords:
computación
Ingenieria electrica
comunicación
sensores
redes
IoT
microcontroladores
lora
wireless
wifi
mareas
nivel del agua
Prerequisites:
None.
Evaluation method: Nota 1-7, with 2/2 available vacants |
Mentor(s): Open in the plataform |
| 05-06-2023 |
Workers' positioning and task identification system for offsite construction industries
Offsite construction industries have become appealing because of their time efficiencies, safety, and reduced waste. Although this new trend promotes the previously mentioned advantages, they still face some significant challenges, such as tracking and monitoring the current state of the component being built. In order to address this challenge, the current undergraduate research project proposes developing and implementing a worker's positioning and activity identification system. The information to accomplish these aims is retrieved from four load cells (LC) and four inertial measurement units (IMUs). The sensor data should be acquired and pre-processed by a microcontroller, sending that information to a computer. The computer uses pre-processed information to identify the workers' positions and their current activities.
Keywords:
electrónica
instrumentación
Construcción
programación
automatización
procesamiento señal
microcontroladores
Prerequisites:
None.
Evaluation method: Nota 1-7, with 0/1 available vacants |
Mentor(s): Open in the plataform |