[DEMO] Insight: Webized mobile AR and real-life use cases

2014 ◽  
Author(s):  
Sangchul Ahn ◽  
Joohyun Lee ◽  
Jinwoo Kim ◽  
Sungkuk Chun ◽  
Jungbin Kim ◽  
...  
Keyword(s):  
Real Life ◽  
Use Cases ◽  
Mobile Ar

A Blockchain-Based Framework for IoT Data Monetization Services

2020 ◽  
Author(s):  
Muhammad Salek Ali ◽  
Massimo Vecchio ◽  
Fabio Antonelli
Keyword(s):  
Data Storage ◽  
Performance Metrics ◽  
Security Analysis ◽  
Real Life ◽  
Use Cases ◽  
Third Party ◽  
Connected Vehicle ◽  
Fine Grained ◽  
Smart Contract ◽  
Authentication And Authorization

Abstract Within internet of things (IoT) research, there is a growing interest in leveraging the decentralization properties of blockchains, towards developing IoT authentication and authorization mechanisms that do not inherently require centralized third-party intermediaries. This paper presents a framework for sharing IoT data in a decentralized and private-by-design manner in exchange for monetary services. The framework is built on a tiered blockchain architecture, along with InterPlanetary File System for IoT data storage and transfer. The goal is to enable IoT data users to exercise fine-grained control on how much data they share with entities authenticated through blockchains. To highlight how the framework would be used in real-life scenarios, this paper presents two use cases, namely an IoT data marketplace and a decentralized connected vehicle insurance. These examples showcase how the proposed framework can be used for varying smart contract-based applications involving exchanges of IoT data and cryptocurrency. Following the discussion about the use cases, the paper outlines a detailed security analysis performed on the proposed framework, based on multiple attack scenarios. Finally, it presents and discusses extensive evaluations, in terms of various performance metrics obtained from a real-world implementation.

Blockchain in Education

2020 ◽  
pp. 267-293 ◽  
Author(s):  
Srinivas Mahankali ◽  
Sudhir Chaudhary
Keyword(s):  
Skill Development ◽  
Real Life ◽  
Educational Programs ◽  
Education Sector ◽  
Use Cases ◽  
Blockchain Technology ◽  
Current State ◽  
The World ◽  
The Individual

Every individual undergoes a series of educational programs and acquires skills and pedagogical certifications throughout his/her life from various educational and skill development organisations across the world, including the companies they work for. It is imperative that there is a comprehensive record of these certifications that can be authentically verified by those wanting to employ the individual for these respective skills accredited through certifications. In this chapter, the authors explore the utility of blockchain technology-led digitization, automation of trust, and disintermediation in education sector. They examine some of the prominent use cases and challenges faced by blockchain technology. They also look at the current state of blockchain technology-enabled applications in related domains and its implications for the education sector in India along with a real-life illustration with implementation using AuxCert on Auxledger, a permissioned blockchain platform from Auxesis group.

scholarly journals Integration of Web APIs and Linked Data Using SPARQL Micro-Services—Application to Biodiversity Use Cases

Information ◽  
2018 ◽  
Vol 9 (12) ◽  
pp. 310 ◽  
Author(s):  
Franck Michel ◽  
Catherine Zucker ◽  
Olivier Gargominy ◽  
Fabien Gandon
Keyword(s):  
Linked Data ◽  
Formal Semantics ◽  
Real Life ◽  
Use Cases ◽  
Service Architecture ◽  
Specific Goal ◽  
Web Of Data ◽  
Architectural Principles ◽  
Cross Fertilization ◽  
The Web

In recent years, Web APIs have become a de facto standard for exchanging machinereadable data on the Web. Despite this success, however, they often fail in making resource descriptions interoperable due to the fact that they rely on proprietary vocabularies that lack formal semantics. The Linked Data principles similarly seek the massive publication of data on the Web, yet with the specific goal of ensuring semantic interoperability. Given their complementary goals, it is commonly admitted that cross-fertilization could stem from the automatic combination of Linked Data and Web APIs. Towards this goal, in this paper we leverage the micro-service architectural principles to define a SPARQL Micro-Service architecture, aimed at querying Web APIs using SPARQL. A SPARQL micro-service is a lightweight SPARQL endpoint that provides access to a small, resource-centric, virtual graph. In this context, we argue that full SPARQL Query expressiveness can be supported efficiently without jeopardizing servers availability. Furthermore, we demonstrate how this architecture can be used to dynamically assign dereferenceable URIs to Web API resources that do not have URIs beforehand, thus literally “bringing” Web APIs into the Web of Data. We believe that the emergence of an ecosystem of SPARQL micro-services published by independent providers would enable Linked Data-based applications to easily glean pieces of data from a wealth of distributed, scalable, and reliable services. We describe a working prototype implementation and we finally illustrate the use of SPARQL micro-services in the context of two real-life use cases related to the biodiversity domain, developed in collaboration with the French National Museum of Natural History.

scholarly journals Enhanced OAI-PMH services for metadata sharing in heterogeneous environments

2014 ◽  
Vol 63 (6/7) ◽  
pp. 465-489 ◽  
Author(s):  
Nikos Houssos ◽  
Kostas Stamatis ◽  
Panagiotis Koutsourakis ◽  
Sarantos Kapidakis ◽  
Emmanouel Garoufallou ◽  
...  
Keyword(s):  
Real Life ◽  
Use Cases ◽  
Heterogeneous Environments ◽  
Software Infrastructure ◽  
Digital Collections ◽  
Content Type ◽  
Selective Harvesting ◽  
Whole Process ◽  
Metadata Harvesting ◽  
Open Archives

Purpose – This paper aims to propose a toolset that enables individual digital collections owners to satisfy the requirements of aggregators even in cases where their IT and software infrastructure is limited and does not support them inherently. Managers of repositories/digital collections face the challenge of exposing their data via Open Archives Initiative – Protocol for Metadata Harvesting (OAI-PMH) to multiple aggregators and conforming to their possibly differing requirements, for example on output metadata schemas and selective harvesting. Design/methodology/approach – The authors developed a software server that is able to wrap existing systems or even metadata records in plain files as OAI-PMH sources. They analysed the functionality of OAI-PMH data providers in a flow of discrete steps and used a software library to modularise the software for these steps so that the whole process can be easily customised to the needs of each pair of OAI-PMH data provider and service provider. The developed server includes a mechanism for the implementation of schema mappings using an XML specification that can be defined by non-IT personnel, for example metadata experts. The server has been applied in various real-life use cases, in particular for providing content to Europeana. Findings – It has been concluded through real-life use cases that it is indeed possible and feasible in practice to expose metadata records of digital collections via OAI-PMH even when the data sources do not support the required protocols and standards. Even advanced OAI-PMH features like selective harvesting can be supported. Mappings between input and output schemas in many practical cases can be implemented entirely or to a large extent as XML specifications by metadata experts instead of software developers. Practical implications – Exposing data via OAI-PMH to aggregators like Europeana is made feasible/easier for digital collections owners, even when their software infrastructure does not inherently support the required protocols and standards. Originality/value – The approach is original and applicable in practice to diverse technology environments, effectively addressing the indisputable fact of the heterogeneity of software and systems used to implement digital repositories and collections worldwide.

Emerging Case Studies of Ambient Intelligence Services

2019 ◽  
pp. 27-54
Keyword(s):  
Case Studies ◽  
Ambient Intelligence ◽  
Technology Development ◽  
Real Life ◽  
Use Cases ◽  
Location Awareness ◽  
Case Examples ◽  
Intelligence Services ◽  
Definition Of

Analysis of currently dominating and emerging use cases provide extremely valuable information for understanding of the key drivers of a technology development. In this chapter, the authors particularly focus on introducing and making an overview of the emerging case studies on top of the ambient intelligence technology. They discuss several case studies that illustrate opportunities and design details for development of highly personalized smart services. The chapter provides definition of the key enablers of the service smartness (e.g., location-awareness, design principles, and restrictions, etc.). The discussion on provided definitions and presented enablers is supported by a few use case examples in the field of e-tourism and e-healthcare. In addition, the chapter introduces the general principles of ZeroUI concept and role of virtual and augmented reality in delivering the new user experience. The chapter is targeted to clearly ground the book scope to the real-life use cases and most relevant trends.

scholarly journals Configurable Distributed Data Management for the Internet of the Things

Information ◽  
2019 ◽  
Vol 10 (12) ◽  
pp. 360 ◽  
Author(s):  
Nikos Kefalakis ◽  
Aikaterini Roukounaki ◽  
John Soldatos
Keyword(s):  
Data Streams ◽  
Data Analytics ◽  
Real Life ◽  
Big Data Analytics ◽  
Use Cases ◽  
Distributed Data ◽  
Data Streaming ◽  
Practical Applications ◽  
Data Intensive ◽  
Digital World

One of the main challenges in modern Internet of Things (IoT) systems is the efficient collection, routing and management of data streams from heterogeneous sources, including sources with high ingestion rates. Despite the existence of various IoT data streaming frameworks, there is still no easy way for collecting and routing IoT streams in efficient and configurable ways that are easy to be implemented and deployed in realistic environments. In this paper, we introduce a programmable engine for Distributed Data Analytics (DDA), which eases the task of collecting IoT streams from different sources and accordingly, routing them to appropriate consumers. The engine provides also the means for preprocessing and analysis of data streams, which are two of the most important tasks in Big Data analytics applications. At the heart of the engine lies a Domain Specific Language (DSL) that enables the zero-programming definition of data routing and preprocessing tasks. This DSL is outlined in the paper, along with the middleware that supports its runtime execution. As part of the paper, we present the architecture of the engine, as well as the digital models that it uses for modelling data streams in the digital world. We also discuss the validation of the DDA in several data intensive IoT use cases in industrial environments, including use cases in pilot productions lines and in several real-life manufacturing environments. The latter manifest the configurability, programmability and flexibility of the DDA engine, as well as its ability to support practical applications.

Odin's Helmet

2021 ◽  
Vol 5 (EICS) ◽  
pp. 1-15
Author(s):  
Matthias Hoppe ◽  
Daria Oskina ◽  
Albrecht Schmidt ◽  
Thomas Kosch
Keyword(s):  
Virtual Reality ◽  
Vestibular System ◽  
Real Life ◽  
Human Head ◽  
Use Cases ◽  
Head Orientation ◽  
Otolith Organ ◽  
Redirected Walking ◽  
Technical Evaluation ◽  
Pushing And Pulling

Virtual Reality (VR) experiences have massively improved in the mediation of feedback. However, the simulation of forces is still limited. This paper presents Odin's Helmet, a head-worn device to simulate g-forces that act on the human head in real-life situations. Odin's Helmet uses four head-mounted propellers as actuators to simulate g-forces through pushing and pulling the user's head while being immersed in VR. Odin's Helmet's goal is to increase presence and manipulate the user's perception of the otolith organ in the vestibular system. The user's perception will be tricked to experience a sensation of self-movement in VR. A technical evaluation shows Odin's Helmet's applicability to apply perceivable g-forces to the user's head. We conclude with future use cases of Odin's Helmet, such as redirected walking by controlling the user's head orientation, attention guidance, and wind simulations through Odin's Helmet.

Positioning evaluation and ground truth definition for real life use cases

2016 ◽  
Author(s):  
Carlos Martinez de la Osa ◽  
Grigorios G. Anagnostopoulos ◽  
Mauricio Togneri ◽  
Michel Deriaz ◽  
Dimitri Konstantas
Keyword(s):  
Real Life ◽  
Ground Truth ◽  
Use Cases ◽  
Truth Definition

scholarly journals Integration of Web APIs and Linked Data using SPARQL Micro-Services. Application to Biodiversity Use Cases

2018 ◽  
Author(s):  
Franck Michel ◽  
Catherine Faron Zucker ◽  
Olivier Gargominy ◽  
Fabien Gandon
Keyword(s):  
Linked Data ◽  
Formal Semantics ◽  
Real Life ◽  
Use Cases ◽  
Service Architecture ◽  
Web Of Data ◽  
Architectural Principles ◽  
Machine Readable ◽  
Cross Fertilization ◽  
The Web

In recent years, Web APIs have become a de facto standard for exchanging machine-readable data on the Web. Despite this success though, they often fail in making resource descriptions interoperable due to the fact that they rely on proprietary vocabularies that lack formal semantics. The Linked Data principles similarly seek the massive publication of data on the Web, yet with the specific goal of ensuring semantic interoperability. Given their complementary goals, it is commonly admitted that cross-fertilization could stem from the automatic combination of Linked Data and Web APIs. Towards this goal, in this paper we leverage the micro-service architectural principles to define a SPARQL Micro-Service architecture, aimed at querying Web APIs using SPARQL. A SPARQL micro-service is a lightweight SPARQL endpoint that provides access to a small, resource-centric, virtual graph. In this context, we argue that full SPARQL Query expressiveness can be supported efficiently without jeopardizing servers availability. Furthermore, we demonstrate how this architecture can be used to dynamically assign dereferenceable URIs to Web API resources that do not have URIs beforehand, thus literally ``bringing'' Web APIs into the Web of Data. We believe that the emergence of an ecosystem of SPARQL micro-services published by independent providers would enable Linked Data-based applications to easily glean pieces of data from a wealth of distributed, scalable and reliable services. We describe a working prototype implementation and we finally illustrate the use of SPARQL micro-services in the context of two real-life use cases related to the biodiversity domain, developed in collaboration with the French National Museum of Natural History.

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