21,959 research outputs found

    Big Data and the Internet of Things

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    Advances in sensing and computing capabilities are making it possible to embed increasing computing power in small devices. This has enabled the sensing devices not just to passively capture data at very high resolution but also to take sophisticated actions in response. Combined with advances in communication, this is resulting in an ecosystem of highly interconnected devices referred to as the Internet of Things - IoT. In conjunction, the advances in machine learning have allowed building models on this ever increasing amounts of data. Consequently, devices all the way from heavy assets such as aircraft engines to wearables such as health monitors can all now not only generate massive amounts of data but can draw back on aggregate analytics to "improve" their performance over time. Big data analytics has been identified as a key enabler for the IoT. In this chapter, we discuss various avenues of the IoT where big data analytics either is already making a significant impact or is on the cusp of doing so. We also discuss social implications and areas of concern.Comment: 33 pages. draft of upcoming book chapter in Japkowicz and Stefanowski (eds.) Big Data Analysis: New algorithms for a new society, Springer Series on Studies in Big Data, to appea

    Towards Defining a Pro-Poor Natural Resources Management Strategy in the CGIAR

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    Report of a consultation convened by the CGIAR NGO Committee with representatives of NGOs, national agricultural research systems, universities, CGIAR Centers, and TAC on the development and implementation of a pro-poor natural resource management (NRM) strategy.The consultation took place on October 22-23, 1998, prior to CGIAR International Centers Week. A summary report (not in the collection) was circulated at ICW 98, and this fuller report was distributed at MTM 99 for background.Discussion among the 45 participants focused on the need for an ecological paradigm and natural resource management knowledge base that encompasses biodiversity, resource flows, productivity, and the resilience of ecosystems. The consultation was divided into three working groups (the scientific basis of a pro-poor NRM strategy; a methodological framework for NRM; and linking NRM to rural development). Effective management of natural resources required methodologies such as participatory research, partnerships and dialogue with farmers' organizations, as well as the development of indicators of sustainability. Participants pointed to the need for natural resource management to be linked to the larger policy, economic, and social aspects of rural development generally

    Business Case and Technology Analysis for 5G Low Latency Applications

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    A large number of new consumer and industrial applications are likely to change the classic operator's business models and provide a wide range of new markets to enter. This article analyses the most relevant 5G use cases that require ultra-low latency, from both technical and business perspectives. Low latency services pose challenging requirements to the network, and to fulfill them operators need to invest in costly changes in their network. In this sense, it is not clear whether such investments are going to be amortized with these new business models. In light of this, specific applications and requirements are described and the potential market benefits for operators are analysed. Conclusions show that operators have clear opportunities to add value and position themselves strongly with the increasing number of services to be provided by 5G.Comment: 18 pages, 5 figure
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