15,962 research outputs found

    When Things Matter: A Data-Centric View of the Internet of Things

    Full text link
    With the recent advances in radio-frequency identification (RFID), low-cost wireless sensor devices, and Web technologies, the Internet of Things (IoT) approach has gained momentum in connecting everyday objects to the Internet and facilitating machine-to-human and machine-to-machine communication with the physical world. While IoT offers the capability to connect and integrate both digital and physical entities, enabling a whole new class of applications and services, several significant challenges need to be addressed before these applications and services can be fully realized. A fundamental challenge centers around managing IoT data, typically produced in dynamic and volatile environments, which is not only extremely large in scale and volume, but also noisy, and continuous. This article surveys the main techniques and state-of-the-art research efforts in IoT from data-centric perspectives, including data stream processing, data storage models, complex event processing, and searching in IoT. Open research issues for IoT data management are also discussed

    Identification and evaluation of innovation opportunities emerging from technology and business trends

    Get PDF
    Master's thesis in Offshore Technology : Industrial Asset ManagementNew technology emerges faster than ever before, and the development is increasing exponentially. The speed of development is too rapid for businesses to investigate and identify potential value from them. There is a need for a culture of innovation and technology adoption and must be treated as the backbone of the company’s value chain. This master will explore a systematic approach to investigate and evaluate innovation opportunities emerging from technology and business trends. The goal of the project is to prove that a systematic method may assist the industry in identifying and evaluating opportunities to achieve competitive advantages. The method consisted of three main parts; 1. Selection and screening of industry 2. Screening of technology trends and business trends with potential for disrupting the industry 3. Identification and evaluation of ideas. The selected industry was Norwegian salmon farming and segment was salmon sea farming production. In total, 14 ideas were elaborated in this thesis. 9 ideas were rejected by the first screening. 5 ideas reached the second screening where 3 ideas were rejected at this point. 2 ideas cleared the second screening had potential to be a business opportunity and was evaluated in a business model canvas. The research prove that it is possible to systematically identify and screen innovation opportunity emerging from technology and business trends today. Time and access to information is identified as the two main enablers to increasing quality of the ideas, in addition to selecting an industry with innovation potential
    • …
    corecore