Description
Chair Octavian Rusu
Sensor Networking Virtual Room B
Smart cities have frontline responsibility to ensure a secure and safe physical and digital ecosystem promoting cohesive and sustainable urban development for the wellbeing of human beings. In this paper, we propose to integrate advanced technological solutions in a market-oriented unified Cyber-Physical Security Management framework, aiming at raising the resilience of cities’...
Despite some recent notable achievements in autonomous road vehicles (e.g. the Waymo and Tesla autonomous car prototypes), the problem of pedestrian detection remains challenging and still lacks a universal solution. The vast majority of the existing solutions rely on sensors and computing equipment located on the vehicle itself, but this increases the cost and the energy consumption of the...
In this article we propose a Cloud-based platform for the detection and prediction of snow avalanches. The platform is based on data gathering from sensors, data collection in Cloud and using this data as an input for the developed Machine Learning algorithms. We discuss the different phases of the data workflow and present the proposed system’s functionalities. We also analyze the data...
— Image sensors are widely used for multiple applications today. The security applications imply not only data acquisition, transmission, and display, but also embedded or in-the-cloud image processing algorithms as motion or intruder detection.
In this paper, we analyze the impact of image scaling on the image processing algorithms, with focus on object detection. Different methods for image...
This paper follows the development of an IoT photovoltaic (PV) sensing system built around a pyranometer from Kipp and Zonen. Two Raspberry Pi act as IoT nodes connected to this system with the purpose of collecting time series values, of Global Horizontal Irradiance (GHI) from the pyranometer, and of current from a reference cell. The latter will be then calibrated with the pyranometer based...
Ultra-Wideband positioning systems are being used more and more for tracking both people and objects in dynamic environments. One of the most accurate positioning strategies in this context is the use of a Time Difference of Arrival data acquisition mechanism coupled to a multilateration approach. An alternative to this method is based on replacing multilateration with machine learning. In...
