Continuous maintenance and the future – Foundations and technological challenges

High value and long life products require continuous maintenance throughout their life cycle to achieve required performance with optimum through-life cost. This paper presents foundations and technologies required to offer the maintenance service. Component and system level degradation science, assessment and modelling along with life cycle ‘big data’ analytics are the two most important knowledge and skill base required for the continuous maintenance. Advanced computing and visualisation technologies will improve efficiency of the maintenance and reduce through-life cost of the product. Future of continuous maintenance within the Industry 4.0 context also identifies the role of IoT, standards and cyber security

Clouds of Things. Data protection and consumer law at the intersection of cloud computing and the Internet of Things in the United Kingdom

The article critically analyses the Internet of Things (IoT) and its intersection with cloud computing, the so-called Clouds of Things (CoT). ‘Things’ are understood as any physical entity capable of connectivity that has a direct interface to the physical world (i.e. a sensing and/or actuating capability). From another perspective (especially product liability), Things can be seen as an inextricable mixture of hardware, software, and services. Alongside a clarification of the essentials, the six factors of the CoT complexity are described and light is shed on the regulatory options (regulation, co-regulation, self-regulation, holistic approach, fragmentation). Focussing on the British legal systems, the article reports on the state of the art of CoT deployment in the United Kingdom and deals with some of the main technical and legal issues emerging from CoT. Particularly, the core will be data protection, privacy, and consumer law. Indeed, these themes are considered the most relevant by the regulators. By mastering the relevant legal issues and following the example of the United Kingdom, the Republic of Korea will be able to unleash its extraordinary potential as to the IoT, thus retaining its position as the smartest country in the world

LiDAR aided simulation pipeline for wireless communication in vehicular traffic scenarios

Abstract. Integrated Sensing and Communication (ISAC) is a modern technology under development for Sixth Generation (6G) systems. This thesis focuses on creating a simulation pipeline for dynamic vehicular traffic scenarios and a novel approach to reducing wireless communication overhead with a Light Detection and Ranging (LiDAR) based system. The simulation pipeline can be used to generate data sets for numerous problems. Additionally, the developed error model for vehicle detection algorithms can be used to identify LiDAR performance with respect to different parameters like LiDAR height, range, and laser point density. LiDAR behavior on traffic environment is provided as part of the results in this study. A periodic beam index map is developed by capturing antenna azimuth and elevation angles, which denote maximum Reference Signal Receive Power (RSRP) for a simulated receiver grid on the road and classifying areas using Support Vector Machine (SVM) algorithm to reduce the number of Synchronization Signal Blocks (SSBs) that are needed to be sent in Vehicle to Infrastructure (V2I) communication. This approach effectively reduces the wireless communication overhead in V2I communication