38,831 research outputs found
Context-Awareness Enhances 5G Multi-Access Edge Computing Reliability
The fifth generation (5G) mobile telecommunication network is expected to
support Multi- Access Edge Computing (MEC), which intends to distribute
computation tasks and services from the central cloud to the edge clouds.
Towards ultra-responsive, ultra-reliable and ultra-low-latency MEC services,
the current mobile network security architecture should enable a more
decentralized approach for authentication and authorization processes. This
paper proposes a novel decentralized authentication architecture that supports
flexible and low-cost local authentication with the awareness of context
information of network elements such as user equipment and virtual network
functions. Based on a Markov model for backhaul link quality, as well as a
random walk mobility model with mixed mobility classes and traffic scenarios,
numerical simulations have demonstrated that the proposed approach is able to
achieve a flexible balance between the network operating cost and the MEC
reliability.Comment: Accepted by IEEE Access on Feb. 02, 201
Visions and Challenges in Managing and Preserving Data to Measure Quality of Life
Health-related data analysis plays an important role in self-knowledge,
disease prevention, diagnosis, and quality of life assessment. With the advent
of data-driven solutions, a myriad of apps and Internet of Things (IoT) devices
(wearables, home-medical sensors, etc) facilitates data collection and provide
cloud storage with a central administration. More recently, blockchain and
other distributed ledgers became available as alternative storage options based
on decentralised organisation systems. We bring attention to the human data
bleeding problem and argue that neither centralised nor decentralised system
organisations are a magic bullet for data-driven innovation if individual,
community and societal values are ignored. The motivation for this position
paper is to elaborate on strategies to protect privacy as well as to encourage
data sharing and support open data without requiring a complex access protocol
for researchers. Our main contribution is to outline the design of a
self-regulated Open Health Archive (OHA) system with focus on quality of life
(QoL) data.Comment: DSS 2018: Data-Driven Self-Regulating System
Taking real-life seriously : an approach to decomposing context beyond 'environment' in living labs
The maturity of Living Labs has grown and several researchers have tried to create a uniform definition of what Living Labs are by emphasizing the multi-method and real-life, contextual approach. Although researchers thus recognize the importance of context in Living Labs, they do not provide insights into how context can be taken into account. The real-life context predominantly focuses on the in-situ use of a product during field trials where users are observed in their everyday life. The contribution of this paper will be twofold. By means of a case study we will show how context can be evaluated in the front end of design, so Living Lab researchers are no longer dependent on the readiness level of a product, and we will show how field trials can be evaluated in a more structured way to cover all components of context. By using a framework to evaluate the impact of context on product use, Living Lab researchers can improve the overall effectiveness of data gathering and analysis methods in a Living Lab project
Artificial Intelligence for the Financial Services Industry: What Challenges Organizations to Succeed?
As a research field, artificial intelligence (AI) exists for several years. More recently, technological breakthroughs, coupled with the fast availability of data, have brought AI closer to commercial use. Internet giants such as Google, Amazon, Apple or Facebook invest significantly into AI, thereby underlining its relevance for business models worldwide. For the highly data driven finance industry, AI is of intensive interest within pilot projects, still, few AI applications have been implemented so far. This study analyzes drivers and inhibitors of a successful AI application in the finance industry based on panel data comprising 22 semi-structured interviews with experts in AI in finance. As theoretical lens, we structured our results using the TOE framework. Guidelines for applying AI successfully reveal AI-specific role models and process competencies as crucial, before trained algorithms will have reached a quality level on which AI applications will operate without human intervention and moral concerns
The Tacit Knowledge Problem in Multinational Corporations: Japanese and US Offshore Knowledge Incubators
This paper examines the âcognitiveâ and âsocietalâ aspects of the tacit knowledge transfer problem in MNCs. Based on a comparative analysis of the overseas R&D labs of US and Japanese MNCs in the UK, it examines how home-based models of learning influence MNCsâ transnational social spaces for learning and their capabilities to address the tacit knowing problem. It illustrates how the US professional ânetworks of practiceâ (NoP) and the Japanese organizational âcommunities of practiceâ (CoP) approaches to transnational learning unfold in practice. It also examines how divergence between home and host country institutions governing knowledge production inhibits cross-societal tacit knowing.comparative thinking; tacit knowledge; knowledge transfer in MNCs; innovation and R&D; organizational learning; communities of practice
Insights on innovation management practices at T-Systems. Analysis of a new business model for identity services on public computer network systems
Projecte final de carrera fet en col.laboraciĂł amb T-Systems International GmbHCatalĂ : Aquesta monografia identifica elements de gestiĂł de la innovaciĂł en una coneguda companyia alemanya del sector TIC (T-Systems International GmbH) i exerceix un anĂ lisi crĂtic sobre ells a partir de l'estudi d'una iniciativa de negoci denominada Projecte CifraH (Citizen Interoperability Folder for Relationships based on Avatar Hosting per les seves sigles en anglĂšs) originada en T-Systems ITC Iberia SAU, una unitat internacional de la companyia.CastellĂ : Esta monografĂa identifica elementos de gestiĂłn de la innovaciĂłn en una conocida compañĂa alemana del sector TIC (T-Systems International GmbH) y los somete a un anĂĄlisis crĂtico a partir del estudio de una iniciativa de negocio denominada Proyecto CifraH (Citizen Interoperability Folder for Relationships based on Avatar Hosting por sus siglas en inglĂ©s) llevada a cabo en T-Systems ITC Iberia SAU, una unidad internacional de la compañĂa.English: This monographic identifies innovation management elements at a major German IT services firm (T-Systems International GmbH) and subjects them to critical analysis through the study of a corporate business initiative known as Project CifraH (Citizen Interoperability Folder for Relationships based on Avatar Hosting) undertaken at an international subsidiary of the company
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