This paper proposes a methodology for the robust classification of neurophysiological data into four emotional states collected during passive viewing evocative pictures selected from International Affective Picture System. The proposed model is formed according to current neuroscience trends, since it adopts independency two dimensions, namely arousal and valence, as dictated by bidirectional emotion theory, whereas gender-specific. A two-step procedure discrimination between EEG signals...

Recent neuroscience findings demonstrate the fundamental role of emotion in maintenance physical and mental health. In present study, a novel architecture is proposed for robust discrimination emotional physiological signals evoked upon viewing pictures selected from International Affective Picture System (IAPS). Biosignals are multichannel recordings both central autonomic nervous systems. Following bidirectional theory model, IAPS rated along two dimensions, namely, their valence arousal....

This paper addresses the problem of low impact smart city applications observed in fields energy and transport, which constitute high-priority domains for development cities. However, these are not only where cities has been limited. The provides an explanation various individual discusses ways improving their effectiveness. We argue that depends primarily on ontology, secondarily technology programming features. Consequently, we start by creating overall ontology city, defining building...

Rising interest in the field of Intelligent Transportation Systems combined with increased availability collected data allows study different methods for prevention traffic congestion cities. A common need all these is use predictions supporting planning and operation lights management schemes. This paper focuses on comparing forecasting effectiveness three machine learning models, namely Random Forests, Support Vector Regression, Multilayer Perceptron—in addition to Multiple Linear...

Abstract In the past, journalists were responsible for reporting news. But today news stories disseminate as incidents unfold, from multiple sources. Thus, gathering, filtering and visualizing events has a growing value. Huge amounts of data are available, but exploiting them is not an easy task. Data journalism can be defined speciality in which numerical used production distribution information. This article investigates necessary skills that must have order to cope with journalism. More...

In recent years data journalism has drawn significant attention not only in academic literature but also the media sector. Data Journalism is a new form of that gradually appeared over last decade, driven by availability digital form. Currently amount projects are being produced all world. These vary considerably terms structure and visualization characteristics. As result above it would be interesting to propose taxonomy can help future journalists choose appropriate type will suitable for...

Nowadays, more and sciences are involved in strengthening the work of law enforcement authorities. Scientific documentation is evidence highly respected by courts administering justice. As involvement science solving crimes increases, so does human subjectivism, which often leads to wrong conclusions and, consequently, bad judgments. From above arises need create a single information system that will be fed with scientific such as fingerprints, genetic material, digital data, forensic...

It has been shown that exergames have multiple benefits for physical, mental and cognitive health. Only recently, however, researchers started considering them as health monitoring tools, through collection analysis of game metrics data. In light this initiatives like the Quantified Self, there is an emerging need to open data produced by games their associated in order be evaluated research community attempt quantify potential health, physiological benefits. We developed ontology describes...

Digital and computational technology is steadily developing continually bringing changes in the field of journalism, which faces a major crisis, as people’s trust media continues to decrease. This paper studies subject data journalism increasing popularity considered be at forefront these changes. kind may way re-establish strengthen journalism’s value, well reassure its sustainability. Datasets, tools, policies on Freedom Information transparency professionals become constantly available...

Introduction Obstructive Sleep Apnea (OSA) is a common sleep disorder requiring the time/money consuming polysomnography for diagnosis. Alternative methods initial evaluation are sought. Our aim was prediction of Apnea-Hypopnea Index (AHI) in patients potentially suffering from OSA based on nonlinear analysis respiratory biosignals during sleep, method that related to pathophysiology disorder. Materials and Methods Patients referred Unit (135) underwent full polysomnography. Three indices...

The force driving the implementation of Linked Data (LD) technologies in libraries is aspiration for widespread interoperability library data and advanced information services. Toward these goals, change their models, update communication formats, develop prototype applications that use new models formats enable entity-based cataloguing. National Library Greece (NLG) has been actively adapting its policies, workflows, tools to make LD-ready. Within this context, NLG developed -in cooperation...

We investigate whether it is possible to distinguish chaotic time series from random using network theory. In this perspective, we selected four methods generate graphs series: the natural, horizontal, limited penetrable horizontal visibility graph, and phase space reconstruction method. These claim that distinction of chaos randomness by studying degree distribution generated graphs. evaluated these computing results for 2D Torus Automorphisms, Lorenz system, a sequence derived normal...

Medical education requires a learning environment that enables medical students to acquire knowledge in ldquohands onrdquo and organized way. This, turn, content can be accessed, evaluated, reused with ease by the students. Social Software (i.e. Weblogs, Wikis, ePortfolios, Instant Messaging) Semantic Web technology could play an important role such environments. Where gives users freedom choose their own processes supports collaboration of people anytime, anywhere, possibility structure...

Red Flags in fiscal projects are warning signs that may indicate underlying problems with their implementation. In this paper, we present how National Strategic Reference Framework Open Data can be used to take full advantage of semantic web technologies and data mining techniques build a knowledge-based system identifies Flags. We collected the from API provided by Greek Ministry Economy Finance. modeling consist two ontologies; Vocabulary Fiscal Projects, describing Greece Vocabulary,...

To classify patients with possible diagnosis of Obstructive Sleep Apnea Syndrome (OSAS) into groups according to the severity disease using a decision tree producing algorithm based on nonlinear analysis 3 respiratory signals instead use full polysomnography.Eighty-six consecutive referred Unit Pulmonology Department underwent polysomnography and their tests were manually scored. Three indices (Largest Lyapunov Exponent-LLE, Detrended Fluctuation Analysis-DFA Approximate Entropy-APEN)...

Smart monitoring of seniors behavioural patterns and more specifically activities daily living have attracted immense research interest in recent years. Development smart decision support systems to the promotion health homes has also emerged taking advantage plethora smart, inexpensive unobtrusive sensors, devices software tools. To this end, a system been used order extract meaningful information about television (TV) usage subsequently associate them with clinical findings experts. The TV...

Curriculum size constantly challenges healthcare education and training. Technology enhanced, immersive educational content like Virtual, Augmented, or Mixed Reality (VR/AR/MR collectively XR) aims to facilitate knowledge retention skills acquisition in the sector. Core challenge this effort is increasing costs, time resources, required for designing developing XR content. An approach address participatory design methods. Co-creation approaches distribute burden of development amongst...