pinecone/core-2020-05-10-deduplication huggingface dataset:
Modelling an orientation system based on speculative computation

Progress is inherent to a living society, which may occur in several different
areas (e.g. computation, healthcare) and manners. The present (or now) is the
time that is associated with the events perceived directly and in the first time, making,
for example, the society to be very inquisitive on assistive technologies and how
they may improve the human beings quality of living. This application of scientific
knowledge for practical purposes may help the user in his/her diminished capabilities,
and, usually, implies a small adaptation on the part of the individual in the use
of devices; indeed one of the die down potentials of people with cognitive disabilities
is the one of spatial orientation. On the other hand several were the authors that
have developed systems to help an human being to travel between two locations.
However, once the system is set up the change in the configurations have to be done
manually in order to better adjust the system to the user. In order to go round this
drawback, in this work it is presented a framework of speculative computation to set
up the computation of the next user step using default values. When the information
is obtained the computation is revised. Thus, the system may have a faster reaction
to the user stimulus or it may start warning the user before he/she takes the wrong
direction.This work is part-funded by ERDF - European Regional Development Fund
through the COMPETE Programme (operational programme for competitiveness) and by National
Funds through the FCT Fundac¸ ˜ao para a Ciˆencia e a Tecnologia (Portuguese Foundation
for Science and Technology) within project FCOMP-01-0124-FEDER-028980 (PTDC/EEISII/
1386/2012). The work of Jo˜ao Ramos is supported by a doctoral grant by FCT - Fundação para
a Ciência e a Tecnologia (Portuguese Foundation for Science and Technology) SFRH/BD/89530/-
2012
A multi-agent platform for hospital interoperability

The interoperability among the Health Information Systems is a natural demand nowadays. The Agency for Integration, Diffusion and Archive of Medical Information (AIDA) is a Multi-Agent System (MAS) specifically developed to guarantee interoperability in health organizations.
This paper presents the Biomedical Multi-agent Platform for Interoperability (BMaPI) integrated in AIDA and it is used by all hospital services which communicates with AIDA, one of the examples is the Intensive Care Unit. The BMaPI main objective is to facilitate the communication among the agents of a MAS. It also assists the interaction between humans and agents through an interface that allows the administrators to create new agents easily and to monitor their activities in real time. Due to the BMaPI characteristics it is possible ensure the continuous work of the AIDA agents associated to INTCare system.
The BMaPI was installed in Centro Hospitalar do Porto successfully, increasing the functionality and overall usability of AIDA platform
Ubiquitous sensorization for multimodal assessment of driving patterns

Sustainability issues and sustainable behaviours are becoming concerns of increasing signi cance in our society. In the case of transportation systems, it would be important to know the impact of a given driving behaviour over sustainability factors. This paper describes a system that integrates ubiquitous mobile sensors available on devices such as smartphones, intelligent wristbands and smartwatches, in order to determine and classify driving patterns and to assess driving e ficiency and driver's moods. It  first identi fies the main attributes for contextual information, with relevance to driving analysis. Next, it describes how to obtain that information from ubiquitous mobile sensors, usually carried by drivers. Finally, it addresses the multimodal assessment process which produces the analysis of driving patterns and the classi cation of driving
moods, promoting the identifi cation of either regular or aggressive driving patterns, and the classi fication of mood types between aggressive and relaxed. Such an approach enables ubiquitous sensing of personal driving patterns across diff erent vehicles, which can be used in sustainability frameworks, driving alerts and recommendation systems.This work is part-funded by ERDF - European Regional Development Fund through the COMPETE Programme (operational programme for competitiveness) and by National Funds through the FCT Fundação para a Ciência e a Tecnologia (Portuguese Foundation for Science and Technology) within project FCOMP-01-0124-FEDER-028980 (PTDC/EEI-SII/1386/2012). It is also supported by a doctoral grant, SFRH/BD/78713/2011, issued by FCT in Portugal
New applications of Ambient Intelligence

Ambient Intelligence emerged more than two decades ago,
with the exciting promise of technologically empowered environments
that would be everywhere, cater to all our needs, be constantly available,
know who we are and what we like, and allow us to make explicit requests
using natural means instead of the traditional mouse and keyboard. At a
time in which this technological unravelling was expected to have already
happened, we still use the mouse and the keyboard. In this paper we
make a brief analysis of why is this evolution taking more than initially
expected. We then move on to analyse several di erent projects that are
innovative, in the sense that they encompass  elds of application that
go beyond the initially envisioned, and show the diverse areas that AmI
systems may potentially come to change.This work is part-funded by ERDF - European Regional Development Fund
through the COMPETE Programme (operational programme for competitiveness)
and by National Funds through the FCT - Fundação para a Ciência e a
Tecnologia (Portuguese Foundation for Science and Technology) within project
FCOMP-01-0124-FEDER-028980 (PTDC/EEI-SII/1386/2012). This work is partfunded
by National Funds through the FCT - Fundação para a Ciência e a
Tecnologia (Portuguese Foundation for Science and Technology) within projects
PEst-OE/EEI/UI0752/2011
Power indices of influence games and new centrality measures for agent societies and social networks

The final publication is available on http://link.springer.comWe propose as centrality measures for social networks two classical power indices, Banzhaf and Shapley-Shubik, and two new measures, effort and satisfaction, related to the spread of influence process that emerge from the subjacent influence game. We perform a comparison of these measures with three well known centrality measures, degree, closeness and betweenness, applied to three simple social networks.Peer ReviewedPostprint (author’s final draft
The impact of using gamification on the eco-driving learning

The proceeding at: 5th International Symposium on Ambient Intelligence (ISAmI 2014), took is at 2014, June, 4-6, in Salamanca (Spain). The Event Web Site:
http://isami.usal.es/isami2014/This paper analyses and validates the impact of using gamification techniques for improving eco-driving learning. The proposal uses game mechanisms such as the score and achievements systems in order to encourage the driver to drive efficiently. The score is calculated using fuzzy logic techniques that allow us to evaluate the driver in a similar way as a human being would do. We also define the eco-driving tips that are issued while driving in order to help the driver to improve the fuel consumption. Every time the system detects an inefficient action of the driver to a previously known situation such as a bad reaction to a detected traffic sign or a detected traffic accident, it warns the user. The proposal is validated using 14 different drivers performing more than 300 drives with 5 different models of vehicles on 4 different regions of Spain. The conclusions show a positive correlation in the use of gamification techniques and the application of the proposed of eco-driving tips, especially for aggressive drivers. Furthermore, these techniques contribute to avoid drivers coming back to their previous driving habits.The research leading to these results has received funding from the
ARTEMISA project TIN2009-14378-C02-02 within the Spanish "Plan Nacional de I+D+I
and from the IRENE (PT-2012-1036-370000), COMINN (IPT-2012-0883-430000) and
REMEDISS (IPT-2012-0882-430000) projects all funded by the Spanish MINECO Ministry.Publicad
Person localization using sensor information fusion

Nowadays the incredible grow of mobile devices market led
to the need for location-aware applications. However, sometimes person
location is di cult to obtain, since most of these devices only have a GPS
(Global Positioning System) chip to retrieve location. In order to sup-
press this limitation and to provide location everywhere (even where a
structured environment doesn't exist) a wearable inertial navigation sys-
tem is proposed, which is a convenient way to track people in situations
where other localization systems fail. The system combines pedestrian
dead reckoning with GPS, using widely available, low-cost and low-power
hardware components. The system innovation is the information fusion
and the use of probabilistic methods to learn persons gait behavior to
correct, in real-time, the drift errors given by the sensors.This work is part-funded by ERDF - European Regional Development Fund through
the COMPETE Programme (operational programme for competitiveness) and by
National Funds through the FCT Fundao para a Cincia e a Tecnologia (Portuguese
Foundation for Science and Technology) within project FCOMP-01-0124-FEDER-
028980 (PTDC/EEI-SII/1386/2012). Ricardo also acknowledge FCT for the support
of his work through the PhD grant (SFRH/DB/70248/2010)
Improving modularity, interoperability and extensibility in Ambient Intelligence

Ambient Intelligence (AmI) and its related  elds emerged
some years ago with the exciting promise of pervasive intelligence, magic
interaction mechanisms, and everywhere availability. This promise would
be materialized in homes that knew all about our habits and preferences,
proactive workplaces to support people's work or personal digital assistants
to improve our daily living in all aspects possible. This somewhat
utopian vision, expected by many to have already taken place, remains
unaccomplished and far from it. Many challenges still lay ahead which
delayed and continue to delay the expected technological unravelling. In
this paper we focus on the immense technological challenges of designing
and implementing AmI Systems. Speci cally, we propose a technological
approach that will contribute to overcome some of these challenges by
making developed AmI solutions more modular, interoperable, and extensible.
This will result especially advantageous for large development
teams or teams that span multiple institutions.This work is part-funded by ERDF - European Regional Development Fund
through the COMPETE Programme (operational programme for competitiveness)
and by National Funds through the FCT - Fundação para a Ciência e a
Tecnologia (Portuguese Foundation for Science and Technology) within project
FCOMP-01-0124-FEDER-028980 (PTDC/EEI-SII/1386/2012)
Incorporating Belief Function in SVM for Phoneme Recognition

The Support Vector Machine (SVM) method has been widely used in numerous
classification tasks. The main idea of this algorithm is based on the principle
of the margin maximization to find an hyperplane which separates the data into
two different classes.In this paper, SVM is applied to phoneme recognition
task. However, in many real-world problems, each phoneme in the data set for
recognition problems may differ in the degree of significance due to noise,
inaccuracies, or abnormal characteristics; All those problems can lead to the
inaccuracies in the prediction phase. Unfortunately, the standard formulation
of SVM does not take into account all those problems and, in particular, the
variation in the speech input. This paper presents a new formulation of SVM
(B-SVM) that attributes to each phoneme a confidence degree computed based on
its geometric position in the space. Then, this degree is used in order to
strengthen the class membership of the tested phoneme. Hence, we introduce a
reformulation of the standard SVM that incorporates the degree of belief.
Experimental performance on TIMIT database shows the effectiveness of the
proposed method B-SVM on a phoneme recognition problem.Comment: 9th International Conference, Hybrid Artificial Intelligence Systems,
  Salamanca, Spain, June 11-13, 201
Analysis of human performance as a measure of mental fatigue

In our day to day, we often experience a sense of being tired
due to mental or physical workload. Along with that, there is also a
feeling of degrading performance, even after the completion of simple
tasks. These mental states however, are often not felt consciously or are
ignored. This is an attitude that may result in human error, failure,
and may lead to potential health problems together with a decrease in
quality of life. States of acute mental fatigue may be detected with the
close monitoring of certain indicators, such as productivity, performance
and health indicators. In this paper, a model and prototype are proposed
to detect and monitor acute acute fatigue, based on non-invasive Humancomputer
Interaction (HCI). This approach will enable the development
of better working environments, with an impact on the quality of life and
the work produced.This work was developed in the context of the project CAMCoF - Contextaware
Multimodal Communication Framework funded by ERDF - European
Regional Development Fund through the COMPETE Programme (operational
programme for competitiveness) and by National Funds through the FCT - Funda
ção para a Ciência e a Tecnologia (Portuguese Foundation for Science and
Technology) within project FCOMP-01-0124-FEDER-028980
Extending Qualitative Spatial Theories with Emergent Spatial Concepts: An Automated Reasoning Approach

Qualitative Spatial Reasoning is an exciting research field of the
Knowledge Representation and Reasoning paradigm whose application often requires
the extension, refinement or combination of existent theories (as well as
the associated calculus). This paper addresses the issue of the sound spatial interpretation
of formal extensions of such theories; particularly the interpretation
of the extension and the desired representational features. The paper shows how
to interpret certain kinds of extensions of Region Connection Calculus (RCC)
theory. We also show how to rebuild the qualitative calculus of these extensions.Junta de Andalucía TIC-606
An ontology for human-machine computation workflow specification

Lately, a focus has been given to the re-usability of workflow defini-tions and to flexible and re-usable workflow components, culminating with ap-proaches that harness the benefits of the enriched semantics provided by ontol-ogies. Following this trend and the needs of multiple application domains, such as micro-task crowdsourcing and ambient assisted living, of incorporating co-operation between the efforts of human and machine entities, this paper propos-es an ontology and process for the definition, instantiation and execution of se-mantically enriched workflows.This work is partially funded by FEDER Funds and by the ERDF (European Regional Development Fund) through the COMPETE Programme (operational programme for competitiveness) and by National Funds through the FCT (Portuguese Foundation for Science and Technology) under the projects AAL4ALL (QREN13852) and FCOMP-01-0124-FEDER-028980 (PTDC/EEI-SII/1386/2012)
Compositional security modelling : structure, economics, and behaviour.

Security managers face the challenge of formulating and implementing policies that deliver their desired system security postures — for example, their preferred balance of confidentiality, integrity, and availability — within budget (monetary and otherwise). In this paper, we describe a security modelling methodology, grounded in rigorous mathematical systems modelling and economics, that captures the managers’ policies and the behavioural choices of agents operating within the system. Models are executable, so allowing systematic experimental exploration of the system-policy co-design space, and compositional, so managing the complexity of large-scale systems
A critical reflection on the threat from human insiders - Its nature, industry perceptions, and detection approaches

The file associated with this record is under a 12-month embargo from publication in accordance with the publisher's self-archiving policy, available available on the SHERPA/RoMEO website.Organisations today operate in a world fraught with threats, including "script kiddies", hackers, hacktivists and advanced persistent threats. Although these threats can be harmful to an enterprise, a potentially more devastating and anecdotally more likely threat is that of the malicious insider. These trusted individuals have access to valuable company systems and data, and are well placed to undermine security measures and to attack their employers. In this paper, we engage in a critical reflection on the insider threat in order to better understand the nature of attacks, associated human factors, perceptions of threats, and detection approaches. We differentiate our work from other contributions by moving away from a purely academic perspective, and instead focus on distilling industrial reports (i.e., those that capture practitioners' experiences and feedback) and case studies in order to truly appreciate how insider attacks occur in practice and how viable preventative solutions may be developed. © 2014 Springer International Publishing.Peer-reviewedPost-prin
Image choice to represent the self in different online environments

The file associated with this record is under a 12-month embargo from publication in accordance with the publisher's self-archiving policy, available available on the SHERPA/RoMEO website.This paper draws from 'impression management theory' to examine the choices individuals make to visually represent themselves on Facebook and Twitter. We interviewed 20 participants about their image choice and the sorts of inferences others make about their identity. Participants were asked whether they believed their image influenced the types of people who connect with them, and whether their pictorial representation affected the topics and type of communication they have with other people. Contrary to previous research on online impression management, we found that few individuals were motivated to create a specific impression by playing with different images and instead individuals were motivated to appear genuine and authentic. Only a few desired hiding behind an avatar in order to feel freer to self-disclose. We found that Facebook and Twitter were perceived as very different spaces with different affordances and that these perceived affordances influenced participants' choice in image. © 2014 Springer International Publishing Switzerland.Peer-reviewedPost-print6th International Conference, SCSM 2014, Held as Part of HCI International 2014, Heraklion, Crete, Greece, June 22-27, 2014. Proceeding
Developing mHealth Apps with researchers: multi-stakeholder design considerations

The authors have been involved with developing a number of mHealth smartphone Apps for use in health or wellness research in collaboration with researchers, clinicians and patient groups for clinical areas including Sickle Cell Disease, Attention Deficit Hyperactivity Disorder, asthma and infertility treatment. In these types of applications, end-users self-report their symptoms and quality of life or conduct psychometric tests. Physiological data may also be captured using sensors that are internal or external to the device.\ud
Following a discussion of the multiple stakeholders that are typically involved in small scale research projects involving end-user data collection, four Apps are used as case studies to explore the issue of non-functional requirements
Mood boards as a universal tool for investigating emotional experience

Emotion is an essential part of user experience. While researchers are striving for new research tools for evaluate emotional experiences in design, designers have been using experience-based tools for studying emotions in practice, such as mood boards. Mood boards were developed for communicating emotional qualities between designers and clients, but have not yet been considered as an evaluation tool for investigating emotional experience. In this study we examined whether design students and non-design students have similar criteria in evaluating these mood boards. The results showed that the inter-rater reliability among all participants were considerably high, which suggested that mood boards are potential to be used as an evaluation tool for research on emotion.Postprint (published version
Design for energy-aware IP over WDM networks with hibernation mode and group-node techniques

The focus of the paper is an investigation and evaluation of energy efficient solutions in IP over WDM core networks using as a foundation, a hierarchy of hibernation modes implementing different degrees of node groupings and fibre links establishment that support a sleep state. It seeks to embed this groups-nodes strategy into an intelligent control plane implementing routing schemes targeting energy consumption, adaptive signalling and traffic engineering. A Group-Nodes mechanism is proposed as a function of topology and node distribution based on a fixed (or geographical) and random (or ownership) principle. The impact of the proposed technique on energy saving and network performance is assessed; results are presented and evaluated for various scenarios. Evaluation of this methodology indicates potential reduction in power consumption from 7 % up to 15 % at the expense of reduced network performance
Enhancement of medical Image Compression by using Threshold Predicting Wavelet-Based Algorithm

In recent decades with the rapid development in biomedical engineering, digital medical images have been becoming increasingly important in hospitals and clini-cal environment. Apparently, traversing medical images between hospitals need a complicated process. Many techniques have been developed to resolve these problems. Compressing an image will reduces the amount of redundant data with the good quality of the reproduced image sufficiently high, depending on the ap-plication. In the case of medical images, it is important to reproduce the image close to the original image so that even the smallest details readable. The aim of this paper is to reveal our new proposed compression algorithm. It started by segmenting the image area into Region of Interest (ROI) and Region of Back-ground (ROB) and use the special features provide by wavelet algorithm to pro-duce efficient coefficients. These coefficients is then will be thresholded by using our new proposed thresholding predicting algorithm. This still under-going pro-ject is expected to produce a fast compression algorithm besides decreasing the image size without tolerating with the precision of image quality