Search results for "artificial intelligence"

Automatic recognition of rapid eye movement (REM) sleep by artificial neural networks.

1995

Artificial neural networks are well known for their good performance in pattern recognition. Their suitability for detecting REM sleep periods on the basis of preprocessed EEG data in humans under clinical conditions was tested and their performance compared with the manual evaluation. A single channel of the EEG signal was analysed in time periods of 20 s and preprocessed into a vector of six real numbers, which served as input to the network. EOG and EMG information was ignored. Backpropagation was used as a learning rule for the network, which consisted of 12 neurons and 39 synapses. Training datasets were put together from the input vectors and the corresponding sleep stages were scored…

Automatic Sleep Stage Identification with Time Distributed Convolutional Neural Network

2021

Polysomnography (PSG), the gold standard for sleep stage classification, requires a sleep expert for scoring and is both resource-intensive and expensive. Many researchers currently focus on the real-time classification of the sleep stages based on biomedical signals, such as Electroencephalograph (EEG) and electrooculography (EOG). However, most of the research work is based on machine learning models with multiple signal inputs or hand-engineered features requiring prior knowledge of the sleep domain. We propose a novel encoded Time-Distributed Convolutional Neural Network (TDConvNet) to automatically classify sleep stages based on a single raw PSG signal. The TDConvNet can infer sleep st…

Autonomous maritime ecosystem : digital concepts and business case : results from the JYU TJTSM54 course on advanced topics on systems development

2019

Smart Assistance for Students and People Living in a Campus

2019

Being part of one of the fastest growing area in Artificial Intelligence (AI), virtual assistants are nowadays part of everyone's life being integrated in almost every smart device. Alexa, Siri, Google Assistant, and Cortana are just few examples of the most famous ones. Beyond these off-the-shelf solutions, different technologies which allow to create custom assistants are available. IBM Watson, for instance, is one of the most widely-adopted question-answering framework both because of its simplicity and accessibility through public APIs. In this work, we present a virtual assistant that exploits the Watson technology to support students and staff of a smart campus at the University of Pa…

A methodology for fire data analysis based on pattern recognition towards the disaster management

2015

The aim of this paper is to investigate a proposed strategy for fire disaster analysis that is implemented based on pattern recognition technique in order to achieve a methodology for disaster management. Since the fire hazard has severe effects onto human and properties, it is essential to predict and possibly prevent it. Almost every fire produces some issues, such as heat, smoke, gas, and flame, which are sensible and measurable via devices or detection systems. The fire behavior is relevant to these issues. In this research, temperature, heat radiation, and visibility (smoke) data of fire that have been obtained from Fire Dynamics Simulator (FDS) are used for analysis. The location of t…

A distributed-memory MPI parallelization scheme for multi-domain incompressible SPH

2022

A parallel scheme for a multi-domain truly incompressible smoothed particle hydrodynamics (SPH) approach is presented. The proposed method is developed for distributed-memory architectures through the Message Passing Interface (MPI) paradigm as communication between partitions. The proposal aims to overcome one of the main drawbacks of the SPH method, which is the high computational cost with respect to mesh-based methods, by coupling a multi-resolution approach with parallel computing techniques. The multi-domain approach aims to employ different resolutions by subdividing the computational domain into non-overlapping blocks separated by block interfaces. The particles belonging to differe…

Studying micro-communities in Facebook Communities

2018

In the visionary view of the future Internet, named the Next Generation Internet, a current idea is to have a user-centric approach where human behavior models will be used to define the networks or to manage services. During the last years, a great trend in current Social Media platforms is to offer the opportunity to establish and join groups of people online. Despite human behaviour in current Online Social Media have been studied in depth, characteristics of these aggregations of people in content-based communities are still unknown. In this paper, we propose an evaluation of micro-communities of users inside the big network of Facebook groups to understand how and when users are active…

A Bibliometric history of the Journal of Psychology between 1936 and 2015

2018

© 2018 Taylor & Francis Group, LLC. The Journal of Psychology: Interdisciplinary and Applied is a leading international journal in psychology dating back to 1935. This study examines its publications since its creation utilizing a bibliometric analysis. The primary objective is to provide a complete overview of the key factors affecting the journal. This analysis includes such key issues as the publication and citation structure of the journal, its most cited articles, and the leading authors, institutions, and countries referenced in the journal. The work uses the Scopus database to classify the bibliographic material. Additionally, the analysis provides a graphical mapping of the bibliogr…

The Conceptual Levels and Theory Languages of Interaction Design

2009

In a way, concepts are like friends. Tell me what your concepts are and I can tell what you are. Modifying freely the way Wittgenstein (1921) expressed this important Kantian (1781) point on the limiting power of concepts on one’s thinking, the concepts that human– technology interaction designers of different scientific backgrounds use differ from each other and, consequently, they are apt to solve the same tasks in different ways. Theoretical concepts constrain the kinds of questions specialists can ask and what kinds of things they are interested in. Thus programmers have a different view of users than do psychologists or sociologists. Just as a lay person can understand little about ven…

I-states-as-objects-analysis (ISOA): Extensions of an approach to studying short-term developmental processes by analyzing typical patterns

2012

I-states-as-objects-analysis (ISOA) is a person-oriented methodology for studying short-term developmental stability and change in patterns of variable values. ISOA is based on longitudinal data with the same set of variables measured at all measurement occasions. A key concept is the i-state, defined as a person’s pattern of variable values at a specific time point. All i-states are first subjected to a classification analysis that results in a time-invariant classification characterized by a number of typical i-states. Each person is then characterized at each time point by the typical i-state he/she belongs to. Then the person’s sequences of typical i-states are analyzed with regard to …