scholarly journals Usability in 4D AR: Visualising Multi-temporal Real-time Geo-data in Augmented Reality Environments

2015 ◽  
Vol 9 (4) ◽  
pp. 23 ◽  
Author(s):  
Bernd Resch ◽  
Andreas Wichmann ◽  
Nicolas Göll
Keyword(s):  
Augmented Reality ◽  
Real Time ◽  
Temporal Variations ◽  
Time Base ◽  
Future Research ◽  
Time Data ◽  
Orientation Data ◽  
Information Density ◽  
Real Time Data ◽  
Multi Temporal

Even though advantages of 3D visualisation of multi-temporal geo-data versus 2D approaches have been widely proven, the particular pertaining challenge of real-time visualisation of geo-data in mobile Digital Earth applications has not been thoroughly tackled so far. In the emerging field of Augmented Reality (AR), research needs comprise finding the optimal information density, the interplay between orientation data in the background and other information layers, using the appropriate graphical variables for display, or selecting real-time base data with adequate quality and suitable spatial accuracy. In this paper we present a concept for integrating real-time data into 4D (three spatial dimensions plus time) AR environments, i.e., data with “high” spatial and temporal variations. We focus on three research challenges: 1.) high-performance integration of real-time data into AR; 2.) usability design in terms of displaying spatio-temporal developments and the interaction with the application; and 3.) design considerations regarding reality vs. virtuality, visualisation complexity and information density. We validated our approach in a prototypical application and extracted several limitations and future research areas including natural feature recognition, the cross-connection of (oftentimes monolithic) AR interface developments and well-established cartographic principles, or fostering the understanding of the temporal context in dynamic 4D Augmented Reality environments.

scholarly journals The Importance of Implementing Cyber Physical Systems to Acquire Real-Time Data and Indicators

J ◽  
2021 ◽  
Vol 4 (2) ◽  
pp. 147-153
Author(s):  
Paula Morella ◽  
María Pilar Lambán ◽  
Jesús Antonio Royo ◽  
Juan Carlos Sánchez
Keyword(s):  
Decision Making ◽  
Data Acquisition ◽  
Real Time ◽  
Failure Detection ◽  
Cyber Physical Systems ◽  
Future Research ◽  
Time Data ◽  
Physical Systems ◽  
The Real ◽  
Real Time Data

Among the new trends in technology that have emerged through the Industry 4.0, Cyber Physical Systems (CPS) and Internet of Things (IoT) are crucial for the real-time data acquisition. This data acquisition, together with its transformation in valuable information, are indispensable for the development of real-time indicators. Moreover, real-time indicators provide companies with a competitive advantage over the competition since they enhance the calculus and speed up the decision-making and failure detection. Our research highlights the advantages of real-time data acquisition for supply chains, developing indicators that would be impossible to achieve with traditional systems, improving the accuracy of the existing ones and enhancing the real-time decision-making. Moreover, it brings out the importance of integrating technologies 4.0 in industry, in this case, CPS and IoT, and establishes the main points for a future research agenda of this topic.

Augmented Reality Based Real-Time Data Visualization Concept for Ultra-Efficient Car Prototype

2017 ◽  
Author(s):  
Peter Wozniak ◽  
Oliver Vauderwange ◽  
Nicolas Javahiraly ◽  
Dan Curticapean
Keyword(s):  
Augmented Reality ◽  
Real Time ◽  
Data Visualization ◽  
Time Data ◽  
Real Time Data

scholarly journals The Pathways to Healthy Ageing: Evidence From Longitudinal Studies and Real-Time Data

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 469-469
Author(s):  
Terry Y S Lum
Keyword(s):  
Older Adults ◽  
Hong Kong ◽  
Real Time ◽  
Healthy Ageing ◽  
Policy Framework ◽  
Future Research ◽  
Active Ageing ◽  
Time Data ◽  
Theoretical Understanding ◽  
Real Time Data

Abstract The WHO has replaced its active ageing policy framework developed in 2002 with the new Healthy Ageing framework developed in 2015 and declared the decade between 2020 and 2030 as the Decade of Healthy Ageing. Healthy Ageing framework emphasizes the pivotal role of functional ability (FA) among older adults and conceptualizes that FA can be determined by intrinsic capacity (IC), environments (EN), and their interaction. WHO calls for global research to advance theoretical understanding of Healthy Ageing framework and translate the evidence into policy actions. This symposium provides the latest findings on Healthy Ageing from multi-country studies using real-time data and longitudinal study design. Dr. Röcke explored daily time-out-of-home and place visit diversity with daily emotional and stress processes in Zurich, using sensor-based and self-reported mobility and activity indicators to capture FA. Dr. Lu investigated the EN and 4-year trajectories of IC and their impact on FA trajectories among older adults in Hong Kong. Dr. Liu explored the longitudinal associations between neighborhood physical EN and depressive symptoms of older adults in Hong Kong and the moderating effects of terrain slope and declining daily activity of living. Dr. Guo investigated the relationship between perceived EN (environmental cognition) and mental health and the mediating roles of physical activity and place attachment. Dr. Chan explored neighborhood physical EN and cognition among older people and identified whether this association varies among different older age groups. Based on these findings, this symposium will discuss the future research direction on Healthy Ageing and its policy implication.

Solution for Inspection of Power Energy Equipment Using Augmented Reality

2017 ◽  
Vol 0 (0) ◽  
Author(s):  
O. M. Ghita ◽  
S. D. Grigorescu ◽  
H. Andrei ◽  
N. Calin
Keyword(s):  
Augmented Reality ◽  
Real Time ◽  
Field Data ◽  
Electrical Power ◽  
Time Data ◽  
Team Members ◽  
Additional Information ◽  
Power Stations ◽  
Real Time Data ◽  
Energy Equipment

Abstract The advance in the field of augmented reality (AR) allows newer approaches to traditional activities, such as service, maintenance or intervention in various field operations. The idea of this paper is to present the design for an innovative AR platform which is currently under development and is designed to be used in Electrical Power Stations. Field data from sensors and additional information stored in QR tags placed on equipment’s are transmitted to a server and from here to the AR equipment’s carried by the intervention personnel. In this case, real time data can be displayed, enhancing the perception of team members and providing additional info that can help them to fulfill their mission.

Enabling human–infrastructure interfaces for inspection using augmented reality

2020 ◽  
pp. 147592172097701
Author(s):  
D Maharjan ◽  
M Agüero ◽  
D Mascarenas ◽  
R Fierro ◽  
F Moreu
Keyword(s):  
Augmented Reality ◽  
Real Time ◽  
Industrial Revolution ◽  
Cost Allocation ◽  
Low Cost ◽  
Data Access ◽  
Maintenance Cost ◽  
Time Data ◽  
Real Time Data ◽  
Human Awareness

Decaying infrastructure maintenance cost allocation depends heavily on accurate and safe inspection in the field. New tools to conduct inspections can assist in prioritizing investments in maintenance and repairs. The industrial revolution termed as “Industry 4.0” is based on the intelligence of machines working with humans in a collaborative workspace. Contrarily, infrastructure management has relied on the human for making day-to-day decisions. New emerging technologies can assist during infrastructure inspections, to quantify structural condition with more objective data. However, today’s owners agree in trusting the inspector’s decision in the field over data collected with sensors. If data collected in the field is accessible during the inspections, the inspector decisions can be improved with sensors. New research opportunities in the human–infrastructure interface would allow researchers to improve the human awareness of their surrounding environment during inspections. This article studies the role of Augmented Reality (AR) technology as a tool to increase human awareness of infrastructure in their inspection work. The domains of interest of this research include both infrastructure inspections (emphasis on the collection of data of structures to inform management decisions) and emergency management (focus on the data collection of the environment to inform human actions). This article describes the use of a head-mounted device to access real-time data and information during their field inspection. The authors leverage the use of low-cost smart sensors and QR code scanners integrated with Augmented Reality applications for augmented human interface with the physical environment. This article presents a novel interface architecture for developing Augmented Reality–enabled inspection to assist the inspector’s workflow in conducting infrastructure inspection works with two new applications and summarizes the results from various experiments. The main contributions of this work to computer-aided community are enabling inspectors to visualize data files from database and real-time data access using an Augmented Reality environment.

Digital Drilling in Holographic World

2021 ◽  
Author(s):  
Yu Fan ◽  
Jianhua Guo ◽  
Quan Cao ◽  
JingLun Ma ◽  
Jun Zhu ◽  
...  
Keyword(s):  
Augmented Reality ◽  
Real Time ◽  
Time Data ◽  
Gas Industry ◽  
The Real ◽  
Time Operation ◽  
Real Time Data ◽  
Real Time Operation ◽  
Human Cost ◽  
Operation Center

Abstract Nowadays oil & gas industry is receiving a bulk of data than ever before from its onsite wells where may hundred miles away from operator's headquarter, which benefits us monitoring and analyzing those digital fortune in a data hub, saving a lot of expenditure and improving the efficiency compared to old-fashioned approach which requires senior engineers with rich experience working on wellsite. In this way, the oil & gas operators save money tremendously on human cost under the booming of drilling operations. While, could we do more to dig out further values from those data? Make our operations less dependable on limited resources, the senior drilling engineers, especially when the oil and gas industry face the chasm of human resources sustainability after the hit of downturn, also make the plain real-time data more intuitive and self-explanatory to the operation decision makers in an unprecedented way. What's more, could we make our drilling activities more visible and interactive? This paper is going to introduce using augmented reality technology to create an intuitive platform to integrate and present real-time operation parameters and data. Like any revolutionary method or technology, it could improve the industry efficiency in a non-negligible way, help us manage massive real-time data more effectively and efficiently. The 3D holographic projection presents dynamic models or systems based on the data stream and graphic algorithm, which evolves our industry from 2D world to 3D world, combining the reality environment with the digital world, creating a digital reflection of the real wellsite, bottom hole assembly (BHA), well trajectories, lithological layers, etc. Thanks to the visualization technologies and augmented reality, we can create a digital twin of physic world for those engineers, technicians, managers using holographic method to interact with, scale up and down, analyzing in a better awareness. In this paper, we will describe a digital drilling wellsite which is established on operator's Real Time Operation Center (RTOC)office to monitor and analyze live field operations, the operator could have an overview of their on-site operations, tracking the equipment performance, engineering parameters and downhole status to enhance the understanding and interaction with the on-going field operations. The wellbore trajectory model gives the team a superior knowledge by combining the engineering data or geological data. Not only help well placement in desired reservoir but also improve the anti-collision concept in direction drilling. This model is extreme meaningful when engineers need a discussion to optimize or change their drilling plan as it is 3D visible and able to interact with. We will continues digging out further more value of the real-time data collected from wellsite to educate us find the cost-saving ways which improve our performance and eliminate the complicated conditions that normally resulted in Non production time (NPT) event. For our oil & gas industry, we are just start to have a more adventure and prosperous journey in digitalizing transforming.

scholarly journals Augmented dérive and City visualisation

AusArt ◽  
2016 ◽  
Vol 4 (1) ◽  
pp. 217-226
Author(s):  
Tomás Laurenzo Coronel ◽  
Javier Baliosian de Lazzari
Keyword(s):  
Augmented Reality ◽  
Real Time ◽  
Data Visualisation ◽  
Time Data ◽  
Research Project ◽  
Real Time Data ◽  
Modes Of Interaction ◽  
The City ◽  
Urban Data

In this paper we present an on-going research project that aims at constructing new modes of interaction with the city using poetic real-time data visualisations. The project uses a mapping device that measures and stores the intensity and direction of the signals coming from Wi-Fi routers and cellular antennae, together with two augmented reality prototypes that modify what their users see or hear. The prototypes created allow us to re-visit the city, intervening on our perception of it as well as allowing us to explore the geographical and perceptual disruption that arises when using one city’s data onto another. The project, building on theoretical works by the Situationists, proposes an alternative to traditional cartographic representation, on the understanding that effective urban data-visualisation needs to incorporate the experience of living in a city, and not purely resort to abstract representation.Keywords: AUGMENTED REALITY; NETWORK; DRIFT; HEADS-UP DISPLAY; POETICS OF SPACEAugmented dérive and City visualisationResumenEn este artículo presentamos un proyecto de investigación en marcha que pretende construir nuevos modos de interacción con la ciudad, a través de una visualización poética de datos en tiempo real. El proyecto utiliza un dispositivo de adquisición que mide y guarda la intensidad y dirección de las señales provenientes de enrutadores Wi-Fi y de antenas celulares, junto con dos prototipos de realidad aumentada que modifican lo que los usuarios ven o escuchan. Los prototipos permiten revisitar la ciudad interviniendo en nuestra percepción de ella, así como también explorar los efectos de mapear los datos de recabados en una ciudad sobre la percepción de otra.El proyecto, a partir de trabajos teóricos de los Situacionistas, propone una alternativa a la representación cartográfica tradicional, entendiendo que una visualización de datos urbanos efectiva requiere incorporar la experiencia de vivir en una ciudad, en lugar de basarse solamente en representaciones abstractas.Palabras-clave: REALIDAD AUMENTADA; RED; DERIVA; CASCO DE VISUALIZACIÓN; POÉTICA DEL ESPACIO

scholarly journals An Improved Stream Processing Access

2019 ◽  
Vol 8 (11S) ◽  
pp. 826-830
Keyword(s):  
Real Time ◽  
Smart Cities ◽  
Human Life ◽  
Stream Processing ◽  
Modern Human ◽  
Future Research ◽  
Data Streaming ◽  
Time Data ◽  
Online Data ◽  
Real Time Data

Migration of Legacy applications into modern Cloud, IOT architecture are challenging tasks and many researchers are showing interest to build modern Real time cloud and IOT based applications like smart cities, Video mining, Health care, Industrial event monitoring and many more for modern human life. Such applications should require efficient online data streaming techniques to process large amount of unstructured online data streams instead of offline. Modern customer centric applications with different verticals are looking for distributed and horizontal data streaming approaches. Many real time streaming approaches are emerging to utilize or process large real-time data by replacing legacy centralized scenarios which are causing more memory utilization, delay and fault tolerance. In this paper we present common models and architectures for real time utilization of cloud and IoT based application stream processing. Utilization of the real-time data of IoT/Cloud applications are possible with collective streaming techniques of network, data processing. In this paper we are focusing on improving stream processing techniques, limitations and future research directions for real-time stream processing

Real-time data integration of an internet-of-things-based smart warehouse: a case study

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ammar Mohamed Aamer ◽  
Chelinka Rafiesta Sahara
Keyword(s):  
Internet Of Things ◽  
Data Integration ◽  
Real Time ◽  
Inventory Management ◽  
Radio Frequency Identification ◽  
Low Cost ◽  
Future Research ◽  
Time Data ◽  
Content Type ◽  
Real Time Data

Purpose Creating a real-time data integration when developing an internet-of-things (IoT)-based warehouse is still faced with challenges. It involves a diverse knowledge of novel technology and skills. This study aims to identify the critical components of the real-time data integration processes in IoT-based warehousing. Then, design and apply a data integration framework, adopting the IoT concept to enable real-time data transfer and sharing. Design/methodology/approach The study used a pilot experiment to verify the data integration system configuration. Radio-frequency identification (RFID) technology was selected to support the integration process in this study, as it is one of the most recognized products of IoT. Findings The experimentations’ results proved that data integration plays a significant role in structuring a combination of assorted data on the IoT-based warehouse from various locations in a real-time manner. This study concluded that real-time data integration processes in IoT-based warehousing could be generated into three significant components: configuration, databasing and transmission. Research limitations/implications While the framework in this research was carried out in one of the developing counties, this study’s findings could be used as a foundation for future research in a smart warehouse, IoT and related topics. The study provides guidelines for practitioners to design a low-cost IoT-based smart warehouse system to obtain more accurate and timely data to support the quick decision-making process. Originality/value The research at hand provides the groundwork for researchers to explore the proposed theoretical framework and develop it further to increase inventory management efficiency of warehouse operations. Besides, this study offers an economical alternate for an organization to implement the integration software reasonably.

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