Percorrer por data de Publicação, começado por "2025-11-14"
A mostrar 1 - 3 de 3
Resultados por página
Opções de ordenação
- Desenvolvimento Web Full-Stack na Empresa Tetrapi SAPublication . Santos, Dário Vítor Freitas; Correia, João António Câmara; Sousa, Maria Paula Prata deEste documento descreve o estágio realizado para a unidade curricular Dissertação ou Estágio no segundo ciclo de Engenharia Informática da Universidade da Beira Interior. Este estágio focou-se no desenvolvimento de uma plataforma web na empresa Tetrapi SA com recurso à framework Symfony. O estágio teve como objetivo principal o desenho e desenvolvimento de uma plataforma web para a Subdireção Regional dos Transportes Terrestres, e teve como objetivos adicionais a orientação de outras equipas de desenvolvimento, a orientação de um estágio curricular e a manutenção de uma plataforma web em fase de validação pelo cliente. Com o intuito de apresentar o máximo de informação possível, o presente relatório está dividido em múltiplos capítulos que abordam a empresa e o plano de estágio; o estado da arte no que consta ao desenvolvimento de plataformas web na framework Symfony; e o desenvolvimento propriamente dito da plataforma Sistema de Gestão de Contra Ordenações (SGCO).
- Conversational Agent for Mental Health SupportPublication . Silva, Luís Gonçalo Aguilar; Pais, Sebastião Augusto Rodrigues FigueiredoMental health is one of the greatest global challenges today, marked by an increase in cases of anxiety and depression and difficulties in accessing specialised support, high costs and stigma. In this context, digital solutions that expand the scope of care are a promising approach. This dissertation presents the design and implementation of a conversational agent for mental health support. The main model used was Gemma 3 4B, applied with prompt engineering. LoRA tuning was explored but not adopted due to export constraints. This LLM is complemented by models for Hate Speech Detection, Emotion Detection, Sentiment Detection, and Sarcasm Detection. The BERT classifiers (sentiment, emotions, sarcasm, and hate) generate signals that condition the tone and dialogue strategy, with these responses being integrated into the system prompt so that the interaction is dynamic. The architecture supports text data input and output and contains modules for periodic check-ins, detection of signs of risk of self-harm or despair with the provision of national suicide helpline contact details, and medication management through the sending of PDF prescriptions and scheduling of medication reminders. Experiments show that the proposed methodology produces more empathetic, confident, and useful responses than using only a language model in varied scenarios. The cosine semantic similarity was calculated to compare the agent with market applications and with experimental cuts without the analysis modules, and the scores indicated comparable content, while the agent’s responses were notably more validating, empathetic, safe, and practice-oriented. Added components such as regular check-ins with the user and medication scheduling to provide reminders indicate practical potential as a virtual therapist. Limitations include occasional errors in detecting whether a direct response or reflection is desired, loss of context due to short memory, and incomplete speech and avatar components.
- Home automation supported by IoT and ISO/IEC/IEEE 1451 standard: a case studyPublication . Rita, José Manuel Rocha; Salvado, José António da CostaWith the growing demand for Internet of Things (IoT) solutions in paradigms such as Smart Homes, the automation of these environments is associated with the increasing need for transducer integration, which has resulted in a need for efficient communication between IoT devices. And for these systems to exchange information, they rely on communication protocols that often lead to incompatibility issues that hinder the implementation of new IoT devices in existing systems. To solve incompatibility problems, standardisation is needed to create a platform that allows compatibility between different devices. To this end, the ISO/IEC/IEEE 1451 standard defines a common interface that allows the integration of new devices in a plug-and-play manner, increasing the flexibility of IoT systems. The IEEE 1451 family of standards offers a solution to reduce the costs of IoT systems and addresses a fundamental barrier to the integration of new systems into existing IoT systems. This will have an impact on many fields covered by the IoT paradigm, such as home automation, which requires the use of sensors and actuators that enable the automation of the defined infrastructure. In this work, two Transducer Interface Module (TIM) systems were developed to monitor comfort parameters in a Smart Home. One of the systems uses an MSP430F5529 to collect data from temperature and light sensors and send this data according to the IEEE 1451 standard to an Arduino Mega 2560 board, with wireless communication via the CC2500 radio transceiver. This data is then sent to the Network Capable Application Processor (NCAP). The other system consists of a Xiao ESP32-C6 microprocessor for collecting data from temperature, pressure, humidity and radiance (light intensity) sensors, which is then sent to the NCAP via Message Queuing Telemetry Transport (MQTT).
