31,970 research outputs found
Recent advances in industrial wireless sensor networks towards efficient management in IoT
With the accelerated development of Internet-of- Things (IoT), wireless sensor networks (WSN) are gaining importance in the continued advancement of information and communication technologies, and have been connected and integrated with Internet in vast industrial applications. However, given the fact that most wireless sensor devices are resource constrained and operate on batteries, the communication overhead and power consumption are therefore important issues for wireless sensor networks design. In order to efficiently manage these wireless sensor devices in a unified manner, the industrial authorities should be able to provide a network infrastructure supporting various WSN applications and services that facilitate the management of sensor-equipped real-world entities. This paper presents an overview of industrial ecosystem, technical architecture, industrial device management standards and our latest research activity in developing a WSN management system. The key approach to enable efficient and reliable management of WSN within such an infrastructure is a cross layer design of lightweight and cloud-based RESTful web service
System upgrade: realising the vision for UK education
A report summarising the findings of the TEL programme in the wider context of technology-enhanced learning and offering recommendations for future strategy in the area was launched on 13th June at the House of Lords to a group of policymakers, technologists and practitioners chaired by Lord Knight.
The report – a major outcome of the programme – is written by TEL director Professor Richard Noss and a team of experts in various fields of technology-enhanced learning. The report features the programme’s 12 recommendations for using technology-enhanced learning to upgrade UK education
Predicting Cyber Events by Leveraging Hacker Sentiment
Recent high-profile cyber attacks exemplify why organizations need better
cyber defenses. Cyber threats are hard to accurately predict because attackers
usually try to mask their traces. However, they often discuss exploits and
techniques on hacking forums. The community behavior of the hackers may provide
insights into groups' collective malicious activity. We propose a novel
approach to predict cyber events using sentiment analysis. We test our approach
using cyber attack data from 2 major business organizations. We consider 3
types of events: malicious software installation, malicious destination visits,
and malicious emails that surpassed the target organizations' defenses. We
construct predictive signals by applying sentiment analysis on hacker forum
posts to better understand hacker behavior. We analyze over 400K posts
generated between January 2016 and January 2018 on over 100 hacking forums both
on surface and Dark Web. We find that some forums have significantly more
predictive power than others. Sentiment-based models that leverage specific
forums can outperform state-of-the-art deep learning and time-series models on
forecasting cyber attacks weeks ahead of the events
Application of Text Analytics in Public Service Co-Creation: Literature Review and Research Framework
The public sector faces several challenges, such as a number of external and
internal demands for change, citizens' dissatisfaction and frustration with
public sector organizations, that need to be addressed. An alternative to the
traditional top-down development of public services is co-creation of public
services. Co-creation promotes collaboration between stakeholders with the aim
to create better public services and achieve public values. At the same time,
data analytics has been fuelled by the availability of immense amounts of
textual data. Whilst both co-creation and TA have been used in the private
sector, we study existing works on the application of Text Analytics (TA)
techniques on text data to support public service co-creation. We
systematically review 75 of the 979 papers that focus directly or indirectly on
the application of TA in the context of public service development. In our
review, we analyze the TA techniques, the public service they support, public
value outcomes, and the co-creation phase they are used in. Our findings
indicate that the TA implementation for co-creation is still in its early
stages and thus still limited. Our research framework promotes the concept and
stimulates the strengthening of the role of Text Analytics techniques to
support public sector organisations and their use of co-creation process. From
policy-makers' and public administration managers' standpoints, our findings
and the proposed research framework can be used as a guideline in developing a
strategy for the designing co-created and user-centred public services
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