Abstract
Radio-Frequency IDentification (RFID) technologies automate the identification of objects and persons, having several applications in retail, manufacturing, and intralogistics sectors. Several works explore the application of RFID systems in robotics and intralogistics, focusing on locating robots, tags, and inventory management. This paper addresses the challenge of intralogistics cargo trolleys communicating their characteristics to an autonomous mobile robot through an RFID system. The robot must know the trolley's relative pose to avoid collisions with the surroundings. As a result, the passive tag on the cargo communicates information to the robot, including the base footprint of the trolley. The proposed RFID system includes the development of a controller board to interact with the frontend integrated circuit of an external antenna onboard the industrial mobile robot. Experimental results assess the system's readability distance in two distinct environments and with two different antenna modules. All the code and documentation are available in a public repository.

Abstract
Purpose: The Internet of Things (IoT) is currently acting as a critical component of the digitalization process by connecting physical devices to the digital world. It is assumed that IoT serves as both a driver and enabler of digitalization. Accordingly, this study investigates the significance of digitalization in enhancing small and medium-sized enterprises (SMEs) firm performance using IoT as a mediator. Design/methodology/approach: Relying on a sample of 393 SMEs in Portugal, the study used a survey method and questionnaire to gather data, while utilizing the structured equations model to explore the relationship between the constructs of the research model. Findings: The findings show that digital infrastructure and value chains are central to digitalization. Technology, data analytics, digital skills and transformation strategies directly and jointly enhance firm performance. The study also highlights the mediating role of IoT in this relationship and stresses the need to consider industry dynamics, digital readiness and strategic goals when assessing IoT’s impact on SME performance. Originality/value: This study provides valuable insights into the core of digitalization, emphasizing the need for SMEs to effectively integrate digital infrastructure, digital value chains and IoT-driven technologies to drive performance and long-term success. © 2025, Fernando Almeida and Edet Okon.

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Abstract
We present an analysis of performance configurations in Portuguese traditional music, using computational methods to process field recordings from the A Musica Portuguesa A Gostar Dela Propria (MPAGDP) archive. Our approach employs YOLOv11s (You Only Look Once), a computer vision system that can detect and count performers in archival footage, allowing us to automatically classify performances into meaningful categories: solo, duo, small, and large ensembles. This computational classification method processed 8122 field recordings with 96% classification accuracy, enabling systematic examination of performance contexts that would be time-consuming through manual analysis. Our analysis shows relationships between performance configuration and musical practice across Portuguese traditions. Solo performers, comprising 48% of vocal recordings, predominantly appear in narrative and poetic traditions requiring individual expression. Large ensembles (21%) maintain collective practices like polyphonic singing traditions. The geographic distribution shows regional traits-Alentejo features large-ensemble singing traditions, while northern regions favor solo performances. The temporal analysis traces how traditional forms maintain continuity through specific performance configurations, while contemporary adaptations emerge primarily in small group formats, illuminating the social dimensions of musical transmission and adaptation in Portuguese traditional music.

Abstract

Abstract
Integrating Internet of Things (IoT) technologies into physical education (PE) presents opportunities for improving the methodologies for collecting, analysing, and managing student performance data. However, it also introduces technical challenges, particularly related to the real-time handling and protection of sensitive data in dynamic training environments. This paper presents a comprehensive solution outline based on a private local network architecture that supports scalable sensor data processing, real-time database integration, and mobile application interfaces. The proposed distributed system ensures data integrity, low-latency communication, and secure access while enabling educators to monitor student performance in real-time and review historical data. The system supports more personalised, data-driven training strategies by providing actionable insights for sports education. © © 2025 by SCITEPRESS - Science and Technology Publications, Lda.