43,078 research outputs found
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Team to Market (T2M): Creating High Performance Teams in the Digital Age
1. Teams are the essential means of product or service delivery and the fundamental building blocks of modern organisations. An effective team can produce results far outperforming a collection of even the most talented individuals when team members coalesce and jell into a single, well-functioning, fully-aligned organism. This report advances the notion of âTeam to Marketâ (T2M) to help business leaders and knowledge workers understand, create and lead high performance teams in the digital age
Evolution of online algorithms in ATLAS and CMS in Run 2
The Large Hadron Collider has entered a new era in Run 2, with centre-of-mass
energy of 13 TeV and instantaneous luminosity reaching
10 cm s for pp
collisions. In order to cope with those harsher conditions, the ATLAS and CMS
collaborations have improved their online selection infrastructure to keep a
high efficiency for important physics processes - like W, Z and Higgs bosons in
their leptonic and diphoton modes - whilst keeping the size of data stream
compatible with the bandwidth and disk resources available. In this note, we
describe some of the trigger improvements implemented for Run 2, including
algorithms for selection of electrons, photons, muons and hadronic final
states.Comment: 6 pages. Presented at The Fifth Annual Conference on Large Hadron
Collider Physics (LHCP 2017), Shanghai, China, May 15-20, 201
Towards distributed architecture for collaborative cloud services in community networks
Internet and communication technologies have lowered the costs for communities to collaborate, leading to new services like user-generated content and social computing, and through collaboration, collectively built infrastructures like community networks have also emerged. Community networks get formed when individuals and local organisations from a geographic area team up to create and run a community-owned IP network to satisfy the communityâs demand for ICT, such as facilitating Internet access and providing services of local interest.
The consolidation of todayâs cloud technologies offers now the possibility of collectively built community clouds, building upon user-generated content and user-provided networks towards an ecosystem of cloud services. To address the limitation and enhance utility of community networks, we propose a collaborative distributed architecture for building a community cloud system that employs resources contributed by the members of the community network for provisioning infrastructure and software services. Such architecture needs to be tailored to the specific social, economic and technical characteristics of the community networks for community clouds to be successful and sustainable. By real deployments of clouds in community networks and evaluation of application performance, we show that community clouds are feasible. Our result may encourage collaborative innovative cloud-based services made possible with the resources of a community.Peer ReviewedPostprint (authorâs final draft
A Distributed Sensor Data Search Platform for Internet of Things Environments
Recently, the number of devices has grown increasingly and it is hoped that,
between 2015 and 2016, 20 billion devices will be connected to the Internet and
this market will move around 91.5 billion dollars. The Internet of Things (IoT)
is composed of small sensors and actuators embedded in objects with Internet
access and will play a key role in solving many challenges faced in today's
society. However, the real capacity of IoT concepts is constrained as the
current sensor networks usually do not exchange information with other sources.
In this paper, we propose the Visual Search for Internet of Things (ViSIoT)
platform to help technical and non-technical users to discover and use sensors
as a service for different application purposes. As a proof of concept, a real
case study is used to generate weather condition reports to support rheumatism
patients. This case study was executed in a working prototype and a performance
evaluation is presented.Comment: International Journal of Services Computing (ISSN 2330-4472) Vol. 4,
No.1, January - March, 201
Greening development finance in the Americas
This repository item contains a report from the Boston University Global Economic Governance Initiative. The Global Economic Governance Initiative (GEGI) is a research program of the Center for Finance, Law & Policy, the Frederick S. Pardee Center for the Study of the Longer-Range Future, and the Frederick S. Pardee School of Global Studies. It was founded in 2008 to advance policy-relevant knowledge about governance for financial stability, human development, and the environment
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An innovation-focused roadmap for a sustainable global photovoltaic industry
The solar photovoltaic (PV) industry has undergone a dramatic evolution over the past decade, growing at an average rate of 48 percent per year to a global market size of 31. GW in 2012, and with the price of crystalline-silicon PV module as low as $0.72/W in September 2013. To examine this evolution we built a comprehensive dataset from 2000 to 2012 for the PV industries in the United States, China, Japan, and Germany, which we used to develop a model to explain the dynamics among innovation, manufacturing, and market. A two-factor learning curve model is constructed to make explicit the effect of innovation from economies of scale. The past explosive growth has resulted in an oversupply problem, which is undermining the effectiveness of "demand-pull" policies that could otherwise spur innovation. To strengthen the industry we find that a policy shift is needed to balance the excitement and focus on market forces with a larger commitment to research and development funding. We use this work to form a set of recommendations and a roadmap that will enable a next wave of innovation and thus sustainable growth of the PV industry into a mainstay of the global energy economy. © 2013 Elsevier Ltd
Low carbon technology transfer: lessons from India and China
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Managing knowledge management tools: a systematic classification and comparison
Knowledge management (KM) is playing an important role in commercial and academic activities, and people are usually armed with effective KM tools for implementation. On one hand, KM tools can facilitate KM activities; however, on the other hand, with the âexplosionâ of KM tools development, people may feel confused about which to choose or which is more suitable. As a result, KM tools should be managed, so this paper aims at making a systematic classification and comparison research and proposes a KM tools selection strategy based on a point of view on knowledge lifecycle
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