Interactive Visual Analysis of Networked Systems: Workflows for Two Industrial Domains

We report on a first study of interactive visual analysis of networked systems. Working with ABB Corporate Research and Ericsson Research, we have created workflows which demonstrate the potential of visualization in the domains of industrial automation and telecommunications. By a workflow in this context, we mean a sequence of visualizations and the actions for generating them. Visualizations can be any images that represent properties of the data sets analyzed, and actions typically either change the selection of data visualized or change the visualization by choice of technique or change of parameters

Speech synthesis : Developing a web application implementing speech technology

Speech is a natural media of communication for humans. Text-to-speech (TTS) technology uses a computer to synthesize speech. There are three main techniques of TTS synthesis. These are formant-based, articulatory and concatenative. The application areas of TTS include accessibility, education, entertainment and communication aid in mass transit. A web application was developed to demonstrate the application of speech synthesis technology. Existing speech synthesis engines for the Finnish language were compared and two open source text to speech engines, Festival and Espeak were selected to be used with the web application. The application uses a Linux-based speech server which communicates with client devices with the HTTP-GET protocol. The application development successfully demonstrated the use of speech synthesis in language learning. One of the emerging sectors of speech technologies is the mobile market due to limited input capabilities in mobile devices. Speech technologies are not equally available in all languages. Text in the Oromo language was tested using Finnish speech synthesizers; due to similar rules in orthography of germination of consonants and length of vowels, legible results were gained

WiROS: WiFi sensing toolbox for robotics

Many recent works have explored using WiFi-based sensing to improve SLAM, robot manipulation, or exploration. Moreover, widespread availability makes WiFi the most advantageous RF signal to leverage. But WiFi sensors lack an accurate, tractable, and versatile toolbox, which hinders their widespread adoption with robot's sensor stacks. We develop WiROS to address this immediate need, furnishing many WiFi-related measurements as easy-to-consume ROS topics. Specifically, WiROS is a plug-and-play WiFi sensing toolbox providing access to coarse-grained WiFi signal strength (RSSI), fine-grained WiFi channel state information (CSI), and other MAC-layer information (device address, packet id's or frequency-channel information). Additionally, WiROS open-sources state-of-art algorithms to calibrate and process WiFi measurements to furnish accurate bearing information for received WiFi signals. The open-sourced repository is: https://github.com/ucsdwcsng/WiRO

D5.2: Digital-Twin Enabled multi-physics simulation and model matching

This deliverable presents a report on the developed actions and results concerning Digital-Twin-enabled multi-physics simulations and model matching. Enabling meaningful simulations within new human-infrastructure interfaces such as Digital twins is paramount. Accessing the power of simulation opens manifold new ways for observation, understanding, analysis and prediction of numerous scenarios to which the asset may be faced. As a result, managers can access countless ways of acquiring synthetic data for eventually taking better, more informed decisions. The tool MatchFEM is conceived as a fundamental part of this endeavour. From a broad perspective, the tool is aimed at contextualizing information between multi-physics simulations and vaster information constructs such as digital twins. 3D geometries, measurements, simulations, and asset management coexist in such information constructs. This report provides guidance for the generation of comprehensive adequate initial conditions of the assets to be used during their life span using a DT basis. From a more specific focus, this deliverable presents a set of exemplary recommendations for the development of DT-enabled load tests of assets in the form of a white paper. The deliverable also belongs to a vaster suit of documents encountered in WP5 of the Ashvin project in which measurements, models and assessments are described thoroughly.Objectius de Desenvolupament Sostenible::9 - Indústria, Innovació i InfraestructuraPreprin

A Cloud-Based Collaboration Platform for Model-Based Design of Cyber-Physical Systems

Businesses, particularly small and medium-sized enterprises, aiming to start up in Model-Based Design (MBD) face difficult choices from a wide range of methods, notations and tools before making the significant investments in planning, procurement and training necessary to deploy new approaches successfully. In the development of Cyber-Physical Systems (CPSs) this is exacerbated by the diversity of formalisms covering computation, physical and human processes. In this paper, we propose the use of a cloud-enabled and open collaboration platform that allows businesses to offer models, tools and other assets, and permits others to access these on a pay-per-use basis as a means of lowering barriers to the adoption of MBD technology, and to promote experimentation in a sandbox environment

A State-of-the-art Integrated Transportation Simulation Platform

Nowadays, universities and companies have a huge need for simulation and modelling methodologies. In the particular case of traffic and transportation, making physical modifications to the real traffic networks could be highly expensive, dependent on political decisions and could be highly disruptive to the environment. However, while studying a specific domain or problem, analysing a problem through simulation may not be trivial and may need several simulation tools, hence raising interoperability issues. To overcome these problems, we propose an agent-directed transportation simulation platform, through the cloud, by means of services. We intend to use the IEEE standard HLA (High Level Architecture) for simulators interoperability and agents for controlling and coordination. Our motivations are to allow multiresolution analysis of complex domains, to allow experts to collaborate on the analysis of a common problem and to allow co-simulation and synergy of different application domains. This paper will start by presenting some preliminary background concepts to help better understand the scope of this work. After that, the results of a literature review is shown. Finally, the general architecture of a transportation simulation platform is proposed

Mixed Reality Applications for Safety Trainings in Wind Energy Sector: A Case Study

The international renewable energy agency (IRENA) forecast that the wind industry will grow at an exponential rate in the coming decades. This enormous growth has created the need and demand for qualified workforce which includes engineers, technicians, and managers in the wind energy sector. Thus, the wind energy training sector needs to implement some innovative technologies in both safety and technical trainings to meet the growing industry demands and to create a qualified workforce. However, before finalizing on any innovative solution for safety training, the challenges that the wind energy training sector faces need to be analyzed. The biggest challenges for the wind energy training sector is to train the workers to work safely with large scale wind turbine structure and its components, working safely with high voltage and working in harsh marine environments. Wind power workers are often exposed to hazards that can result in fatalities or serious injuries due to these challenges. Therefore, the implemented innovative technology must ensure safety and improve efficiency of operations by being aware of the risks associated. However, the wind energy training sector is searching for cost effective solution especially related to remote training, when the technician is not able to attend the training physically. Moreover, the wind energy training sector is also looking for technology that can reduce human error and also reduce cognitive workload. Therefore, the use of innovative technology like mixed reality (MR) might provide potential benefits.MR includes the use of both the virtual reality (VR) which is a simulated immersive experience and the use of augmented reality (AR) which allows the person to see the real world, additionally overlaid with digital graphics and information in real time. However, there is a lack of clarity on how to effectively design mixed reality technologies in safety training of wind sector. There are technical challenges and gaps to identify the suitable hardware platform, suitable software platform and the associated tracking techniques. The purpose of this thesis is to develop: (1) the workflow, (2) the framework which will help to design mixed reality technologies in safety training of wind sector. Also to develop, (3) flowchart and (4) worksheet which will help to identify the critical training modules/scenarios and to identify the suitable type of technology (AR/VR/MR) needed for a particular scenario along with the suitable hardware platform, suitable software platform and associated tracking technique. Finally, to develop (5) demo MR model to demonstrate and validate the developed workflow and to understand the associated practical challenges like complexity of such mixed reality technologies and user familiarity. In order to achieve the purpose of this thesis, a six-step methodology was applied which includes: (1) system analysis, (2) use case analysis, (3) conceptualize, (4) computerize, (5) construct and (6) verify, validate and visualize. The case study started with system analysis which mainly deals with extracting the industrial needs and requirements. The system analysis includes two sub steps. First, is to perform a detailed systematic literature review (SLR) to understand the state of art in VR/AR/MR in the wind industry and other relevant industry. Second, an empirical exploration were the author attended a 5day GWO wind safety training at the Eigersund energy hub to personally experience and understand the training scenarios which will be crucial and beneficial to have a mixed reality application from both technician and company perspective. The use case analysis deals with the creation of the case context which includes selecting the critical training module based on accident data from literature review and to identify one similar framework in other engineering industry. The conceptualize step involves in classifying the selected critical module into training tasks and to identity the risk associated with each training tasks. It also involves in performing the concept study before building the MR model and to develop the scenario modelling chart. The computerize step involves in developing the actual 3D model and the demo MR model. The construct step involves the creation of the flowchart, worksheet, workflow and the framework and the sixth step is to validate and verify the research outputs. Consequently, as the result of the six-step methodology this thesis has provided new knowledge regarding four concepts: (1) sequence or workflow (2) the need for continuous and iterative process to design mixed reality (3) the logic and the rules for the selection of technical specifications (4) worksheet to classify the scenarios and to define training complexity. The thesis concludes that the safety training provider needs to rigorously follow the developed (1) mixed reality analysis (MRA) workflow, (2) mixed reality analysis (MRA) framework, (3) mixed reality technical specification (MRTS) flowchart and the (4) mixed reality technical specification (MRTS) worksheet. The MRA workflow provides the sequence that can enable the industrial practitioner to design MR application in a cost-effective and fit for purpose manner which includes screening out low risk scenarios. The MRA framework clearly indicates that the design to implement MR is an iterative process based on user needs and user level of familiarity. The MRTS flowchart provides the logic to identify the suitable type of technology for a particular scenario, along with the suitable hardware platform, suitable software platform and associated tracking technique. The MRTS flowchart must be used along with the MRTS worksheet which can help to identify the critical training modules/scenarios and further classify them to check if implementation of mixed realities is needed or not. In future, the complexity associated with such technologies must be studied after implementing in real-time. Based on the case study AR/VR should be designed to make work simpler and error free. However, in some cases if using the technology is creating unintended consequences and complexity, then the technology might not be used in such cases