This paper is focused on a machine-learning approach for estimating human energy expenditure during sport and normal daily activities. The paper presents technical feasibility assessment that analyses requirements and applicability of smart phone sensors to human energy expenditure. The paper compares and evaluates three different sensor configuration sets: (i) a heart rate monitor and two stan...

P. Ferrari, A. Flammini, E. Sisinni Dept. of Electronics for Automation Faculty of Engineering, University of Brescia Brescia, Italy [email protected] Abstract— Today wireless sensors technology is based on monolithic transceivers that optimize cost but have rigid hardware architecture. In this work, a new architecture for wireless sensors is presented. It is based on the Software Defi...

Structural Health Monitoring (SHM) can be an important tool for integrity assessment of structures after extreme loading conditions, as well for ongoing maintenance of aging infrastructure. SHM gives insight into a structures’ response during an earthquake event which can in turn provide valuable information on the post-earthquake condition of the structure. The ultimate goals of implementing a...

Smart sensors represent an attractive approach in sensor applications due to their adaptability, achieved by means of digital signal processing. Sensor adaptability can be further turned into a major advantage by introduction of smart calibration systems. Smart sensors are generally integrated with signal conditioning circuits. Signal conditioning circuits are needed to adjust the offset voltag...

BACKGROUND Innovations in mobile and electronic healthcare are revolutionizing the involvement of both doctors and patients in the modern healthcare system by extending the capabilities of physiological monitoring devices. Despite significant progress within the monitoring device industry, the widespread integration of this technology into medical practice remains limited. The purpose of this r...

During the last decades, smart tactile sensing systems based on different sensing techniques have been developed due to their high potential in industry and biomedical engineering. However, smart tactile sensing technologies and systems are still in their infancy, as many technological and system issues remain unresolved and require strong interdisciplinary efforts to address them. This paper p...

1.0 Project Goal Smart Dust motes are self-contained, millimeter-scale sensing and communication platforms for a massively distributed sensor network [61,71]. They will ultimately be around the size of a grain of sand and will contain micro/nano sensors, computational ability, bi-directional wireless communications, and a power supply. There exist endless possibilities for the applications of t...

The IEC 61850-advanced smart transformer shows an improved performance in monitoring, controlling, and protecting the devices and equipment in smart substation. However, the heterogeneity, feasibility and network control problems have limited smart transformers in network performance. To address these issues, a software-defined networking model is proposed using ISO/IEC/IEEE 21451 networks. The...

The wave of the fourth industrial revolution (Industry 4.0) is breaking on manufacturing companies. In manufacturing, one of the buzzwords of the moment is "Smart production". Smart production involves manufacturing equipment with many sensors that can generate and transmit large amounts of data. Data and information from manufacturing operations are however not used by most manufacturing compa...

This paper develops a model-based framework for the quantification and propagation of multiple uncertainty sources affecting the performance of a smart system. A smart system, in general, performs sensing, control and actuation for proper functioning of a physical subsystem (also referred to as a plant). With strong feedback coupling between several subsystems, the uncertainty in the quantities...