The effective operation of distributed energy sources relies significantly on the communication systems employed in microgrids. This article explores the fundamental communication requirements, structures, and protocols necessary to establish a secure connection in microgrids. This article examines the present difficulties facing, and progress in, smart microgrid communication technologies, including wired and wireless networks. Furthermore, it evaluates the incorporation of diverse security methods. This article showcases a case study that illustrates the implementation of a distributed cyber-security communication system in a microgrid setting. The study concludes by emphasizing the ongoing research endeavors and suggesting potential future research paths in the field of microgrid communications.

Revolutionary advances in technology have been seen in many industries, with the IIoT being a prime example. The IIoT creates a network of interconnected devices, allowing smooth communication and interoperability in industrial settings. This not only boosts efficiency, productivity, and safety but also provides transformative solutions for various sectors. This research looks into open-source IIoT and edge platforms that are applicable to a range of applications with the aim of finding and developing high-potential solutions. It highlights the effect of open-source IIoT and edge computing platforms on traditional IIoT applications, showing how these platforms make development and deployment processes easier. Popular open-source IIoT platforms include DeviceHive and Thingsboard, while EdgeX Foundry is a key platform for edge computing, allowing IIoT applications to be deployed closer to data sources, thus reducing latency and conserving bandwidth. This study seeks to identify potential future domains for the implementation of IIoT solutions using these open-source platforms. Additionally, each sector is evaluated based on various criteria, such as development requirement analyses, market demand projections, the examination of leading companies and emerging startups in each domain, and the application of the International Patent Classification (IPC) scheme for in-depth sector analysis.

The full potential of predictive maintenance has not yet been utilised. Current solutions focus on individual steps of the predictive maintenance cycle and only work for very specific settings. The overarching challenge of predictive maintenance is to leverage these individual building blocks to obtain a framework that supports optimal maintenance and asset management. The PrimaVera project has identified four obstacles to tackle in order to utilise predictive maintenance at its full potential: lack of orchestration and automation of the predictive maintenance workflow, inaccurate or incomplete data and the role of human and organisational factors in data-driven decision support tools. Furthermore, an intuitive generic applicable predictive maintenance process model is presented in this paper to provide a structured way of deploying predictive maintenance solutions.

With the onset of the fourth industrial revolution, predictive maintenance using wireless sensing technologies has been in high demand. This motivates to investigate the potential of WiFi CSI as a sensor for understanding the operation of machines. Since rotating motors are one of the fundamental elements in many complex machines, this paper focuses on the classification of CSI signals influenced by rotating motors at different speeds. As WiFi CSI technology is still not mature, we focus on data collection and study the sensitivity and reliability of data for this type of applications. We observe that CNNs are suitable to classify the speeds of motors and is also sensitive to speeds close to each other when operated in ideal network condition. However, in practical network conditions, unreliability of the data and the inability of CNN to classify it remains a challenge.

XoSoft is an EU project that proposes the development of a modular soft lower-limb exoskeleton to assist people with mobility impairments. It aims to be user friendly and comfortable to wear, with a significant impact on the person’s mobility and health, on their independence and quality of life. Being a modular system, it comprises of ankle, knee and hip elements, which can be used individually or combined and used unilaterally or bilaterally. XoSoft follows a user centered design strategy achieved by involving primary, secondary and tertiary end users as participatory stakeholders in the design and development process. Preliminary findings of the interviews with the different users groups are presented in this paper. Advanced textiles and smart materials are being developed to create sensing, variable stiffness joints and flexible tactile sensors. Control will be through biomimetics to identify the user’s motion and intention and to determine and provide the appropriate level of assistance. Connected health connectivity and analysis will enable the wearer and their clinicians/therapist to review activity information. The concept will be tested extensively in the lab, and subject to trials in clinical settings and home environments.

One of the numerous applications of wearable computers is providing safety in occupations where heat-related injuries are prevalent. Core temperature, as a parameter that cannot be measured by on-body sensors is a variable that is specifically interesting for realizing such applications. In the context of the design of a sensor-shirt that can be used by firefighters, in this paper we study the importance of different types of sensor measurements and their placement for estimating core temperature. We propose a model for inferring the dangerous states of core temperature. Our evaluation results show that our model can to a great extent estimate hazardous situations caused by heat accumulation.

The aim of this pilot study was to investigate the effects of an intervention consisting of mental coaching combined with either electro encephalogram (EEG) alpha power feedback or heart rate variability (HRV) feedback on HRV, EEG outcomes and self-reported factors related to stress, performance, recovery and sleep quality in elite athletes. A prospective pilot study was performed with two distinct cohorts. Soccer players were provided with four sessions of mental coaching combined with daily HRV biofeedback (Group A); track and field athletes were provided with four sessions of mental coaching in combination with daily neurofeedback (Group B). Measurements were performed at baseline, post intervention and at 5 weeks follow-up. Objective measures: EEG and ECG. Subjective measures: Numeric Rating Scale for performance, Pittsburgh Sleep Quality Index, Rest and Stress Questionnaire and Sports Improvement-60. Group characteristics were too distinct to compare the interventions. Linear mixed models were used to analyze differences within groups over time. In Group A, significant changes over time were present in alpha power at 5 of 7 EEG locations (p < 0.01–0.03). LF/HF ratio significantly increased (p = 0.02) and the concentration (p = 0.02) and emotional scale (p = 0.03) of the SIM-60 increased significantly (p = 0.04). In Group B, the HRV low frequency power and recovery scale of the REST-Q significantly increased (p = 0.02 and <0.01 resp.). Other measures remained stable or improved non-significantly. A mental coaching program combined with either HRV or EEG alpha power feedback may increase HRV and alpha power and may lead to better performance-related outcomes and stress reduction. Further research is needed to elucidate the effects of either type of feedback and to compare effects with a control group.

People tend to use the same door every time they enter and exit a building. When certain entrances are widely preferred over others, congestion can occur. This paper describes two interventions to persuade visitors to use another entrance. The first intervention used sensory deprivation (darkness), and the second used guidance paths. The first intervention on sensory deprivation had the expected outcome. This intervention resulted in an avoidance of the darkened door. The second intervention had a result contrary to the expectations; it resulted in an increased preference for the door without guidance paths.

The Saxion Research Centre for Design and Technology employs many students during research projects. This paper discusses a series of student design projects on safety helmets in the Safety@Work project. At construction sites workers are required to wear personal protective equipment during their work. However, there is often a lack of intrinsic motivation for wearing them.The series of projects focus on raising intrinsic motivation to wear safety helmets by adding features, and making the safety helmet more comfortable to wear. Co-design principles were used for five consecutive projects. The first projects got a clear view of the problems while wearing safety helmets. Later projects focused on designing prototypes, constructing prototypes, and eventually conducting usability studies with construction site workers. Students are given the opportunity to familiarize themselves with companies, research groups at the university, and test their ideas in the real world. A reflection of the process is described.This paper was presented on the International Conference on Engineering and Product Design Education at the University of Twente, Enschede, the Netherlands, 4 and 5 September 2014.

The i-Zone initiative proposes a new approach to urban mobility management by using the latest mobile ICT technologies. It is about mobile phones that measure and analyse user behaviour in order to influence travel behaviour. By providing feedback to the traveller (self monitoring), by information sharing, or by providing positive incentives to travellers by road authorities and other stakeholders, improved mobility in a city may be achieved. The information is targeted on individual travel behaviour, and thus allows a personalized approach to influence travel behaviour. This enables a shift from a focus on intelligent transport systems, with the emphasis on infrastructure and car-to-car systems, to a more human-centric approach based on ambient intelligence.

In this paper we present the vision of the Go Green project on a smart home that is capable of decreasing energy consumption while at the same time increasing user comfort. To identify the main challenges we introduce a general model for intelligent homes that describes the current state, the target state and the transition. A key point in the project's vision is the concept of personas and entities to model groups of individuals and their preferences. A second key point is the strategy of coaching the users towards the global system goals by adapting the environment.

The impact of converging technologies on legal practice and criminology is being investigated in a forward looking study intended for practitioners and policy makers in the field of legislation, crime prevention, and law enforcement. This report consists of three parts. The first part describes the state of the art and future expectations on nano-, bio-, ICT and cognitive science and technology, as well as their convergence. The second part describes the (future) applicability of converging technologies to our application domain, in particular in three cases. This part ends with scenarios that are used as a means to ‘visualize’ the developments and an input for the impact analysis. In the third part the scenarios are analysed on their ethical, legal and social implications. This part describes the major social and normative trends that are observed.

The impact of converging technologies on legal practice and criminology is being investigated in a forward looking study intended for practitioners and policy makers in the field of legislation, crime prevention, and law enforcement. This report consists of three parts. The first part describes the state of the art and future expectations on nano-, bio-, ICT and cognitive science and technology, as well as their convergence. The second part describes the (future) applicability of converging technologies to our application domain, in particular in three cases. This part ends with scenarios that are used as a means to ‘visualize’ the developments and an input for the impact analysis. In the third part the scenarios are analysed on their ethical, legal and social implications. This part describes the major social and normative trends that are observed.

In this paper we describe our endeavour of developing a proactive attentive support system (PASS). We explain that PASS is bio-inspired and can be grounded on mathematical physics. We demonstrate its successful applicability in the video surveillance domain