27,878 research outputs found
Data centric trust evaluation and prediction framework for IOT
© 2017 ITU. Application of trust principals in internet of things (IoT) has allowed to provide more trustworthy services among the corresponding stakeholders. The most common method of assessing trust in IoT applications is to estimate trust level of the end entities (entity-centric) relative to the trustor. In these systems, trust level of the data is assumed to be the same as the trust level of the data source. However, most of the IoT based systems are data centric and operate in dynamic environments, which need immediate actions without waiting for a trust report from end entities. We address this challenge by extending our previous proposals on trust establishment for entities based on their reputation, experience and knowledge, to trust estimation of data items [1-3]. First, we present a hybrid trust framework for evaluating both data trust and entity trust, which will be enhanced as a standardization for future data driven society. The modules including data trust metric extraction, data trust aggregation, evaluation and prediction are elaborated inside the proposed framework. Finally, a possible design model is described to implement the proposed ideas
Beyond swarm intelligence: The Ultraswarm
This paper explores the idea that it may be possible to
combine two ideas – UAV flocking, and wireless cluster
computing – in a single system, the UltraSwarm. The
possible advantages of such a system are considered, and
solutions to some of the technical problems are identified.
Initial work on constructing such a system based around
miniature electric helicopters is described
Econometrics meets sentiment : an overview of methodology and applications
The advent of massive amounts of textual, audio, and visual data has spurred the development of econometric methodology to transform qualitative sentiment data into quantitative sentiment variables, and to use those variables in an econometric analysis of the relationships between sentiment and other variables. We survey this emerging research field and refer to it as sentometrics, which is a portmanteau of sentiment and econometrics. We provide a synthesis of the relevant methodological approaches, illustrate with empirical results, and discuss useful software
THE NEW GLOBALIZATION ERA AND DIGITALIZATION DEBATE: AN ECONOMISTS PERSPECTIVE
During the post-world war 11 period, industrialization was an irresistable trend, made global by the dynamics of international markets.Today, the industrial siciety faces the risks created by its own success. Its growth has been accompanied by a voracious use of natural resources and by increasing inequalities(insecurites)between industrial countries and the rest of the world. Infact, Industrialization to date has been based on energy and it has been and continues to be based on the burning of fossil fuels and the attendant emission of carbon dioxide, which can cause climate change. Thus, a vision of a new society in which humans live in harmony with each other and with nature is very imperative. This transition is described as digitalization(or knowledge revolution) driven by knowledge and by the technologies for processing and communicating it). This therefore requires new institutions and policies to reach a sustainable outcome by 2050.globalization digitalization knowledge revolution inequalities industrialization information emmissions insecurities
Breaking the News: First Impressions Matter on Online News
A growing number of people are changing the way they consume news, replacing
the traditional physical newspapers and magazines by their virtual online
versions or/and weblogs. The interactivity and immediacy present in online news
are changing the way news are being produced and exposed by media corporations.
News websites have to create effective strategies to catch people's attention
and attract their clicks. In this paper we investigate possible strategies used
by online news corporations in the design of their news headlines. We analyze
the content of 69,907 headlines produced by four major global media
corporations during a minimum of eight consecutive months in 2014. In order to
discover strategies that could be used to attract clicks, we extracted features
from the text of the news headlines related to the sentiment polarity of the
headline. We discovered that the sentiment of the headline is strongly related
to the popularity of the news and also with the dynamics of the posted comments
on that particular news.Comment: The paper appears in ICWSM 201
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