Search results for " learning."

Próba oceny efektywności realizacji obowiązku nauki szkolnej w dobie pandemii

2021

Application of Electronic Nose for Evaluation of Wastewater Treatment Process Effects at Full-Scale WWTP

2019

This paper presents the results of studies aiming at the assessment and classification of wastewater using an electronic nose. During the experiment, an attempt was made to classify the medium based on an analysis of signals from a gas sensor array, the intensity of which depended on the levels of volatile compounds in the headspace gas mixture above the wastewater table. The research involved samples collected from the mechanical and biological treatment devices of a full-scale wastewater treatment plant (WWTP), as well as wastewater analysis. The measurements were carried out with a metal-oxide-semiconductor (MOS) gas sensor array, when coupled with a computing unit (e.g., a computer with…

Training machine learning models with synthetic data improves the prediction of ventricular origin in outflow tract ventricular arrhythmias

2022

In order to determine the site of origin (SOO) in outflow tract ventricular arrhythmias (OTVAs) before an ablation procedure, several algorithms based on manual identification of electrocardiogram (ECG) features, have been developed. However, the reported accuracy decreases when tested with different datasets. Machine learning algorithms can automatize the process and improve generalization, but their performance is hampered by the lack of large enough OTVA databases. We propose the use of detailed electrophysiological simulations of OTVAs to train a machine learning classification model to predict the ventricular origin of the SOO of ectopic beats. We generated a synthetic database of 12-l…

Absolute of Relative? A New Approach to Building Feature Vectors For Emotion Tracking In Music

2013

It is believed that violation of or conformity to expectancy when listening to music is one of the main sources of musical emotion. To address this, we test a new way of building feature vectors and representing features within the vector for the machine learning approach to continuous emotion tracking systems. Instead of looking at the absolute values for specific features, we concentrate on the average value of that feature across the whole song and the difference between that and the absolute value for a particular sample. To test this “relative” representation, we used a corpus of popular music with continuous labels on the arousalvalence space. The model consists of a Support Vector Re…

A case study of a British ERASMUS student in Italy

2013

This article focuses on the shaping of social identities and emotions of one British young woman who spent a Year Abroad (YA) in Italy as an ERASMUS student. I have examined her negotiation and (re)construction of social identities during her experience abroad from a poststructuralist perspective, which sees individuals’ identities as dynamic and changeable sites of struggles (Norton Pierce, 1995 and 2000). In order to analyse the participant's accounts of her language learning and emotional experiences during her YA I have used the notion of emotional investment developed by Pavlenko (2012). This notion has helped me to understand how, why and to what extent the participant in the study ga…

Work-based Learning – Challenge for Competitive Vocational Education Experience of Latvia

2021

Work-based learning is implemented in Latvia and there are many aspects to be investigated as work-based learning require several stakeholder mutual co-operation by vocational education institutions, by teaching staff at vocational education institutions, companies, as well as different employers’ organisations in the situation of demographic changes by reducing of numbers of young people. Aim of research – investigate different approaches in realisation of work-based learning in seeking innovative approaches and findings in countries with bigger experience in realisation of this kind of vocational education. Research methods applied: analysis of experience and findings reflected in scienti…

Yhteisövoimainen oppimisprosessi : substantiivinen teoria aikuisten ryhmässä oppimisen kokemuksista

2018

The aim of this study was to build a conception as well as a substantive theory of adult learners’ group learning. The framework for this study is andragogy, which places the life context of adult learners at the center of the learning process (Knowles 1990). This study has been carried out using grounded theory as a research methodology. Hermeneutics offers a broad scientific paradigm for the understanding of group learning as a phenomenon, whereas grounded theory offers a concrete tool for analyzing data and developing a substantive theory. In this approach, the theory emerges gradually in open interaction between a researcher and the data (Glaser 1992). The informants for this study were…

Generalization Capacity Analysis of Non- Intrusive Load Monitoring using Deep Learning

2020

Appliance Load Monitoring is a technique used to monitor devices existing in homes, industry or naval vessels. Acquisition of device-level data can provide great benefits in many areas such as energy management, demand response, and load forecasting. However, the monitoring process is often provided with a costly installation, as it requires a large number of sensors and a data center. Non-Intrusive Load Monitoring (NILM) is an alternative and cost-efficient load monitoring solution. Simply put, NILM is the process of obtaining device-level data by analyzing the aggregated data read from the main meter that measures the electricity consumption of the whole house. Before NILM analysis is per…

Classification of Solutions to the Minimum Energy Problem in One Dimensional Sensor Networks

2016

We classify of the minimum energy problem in one dimensional wireless sensor networks for the data transmission cost matrix which is a power function of the distance between transmitter and receiver with any real exponent. We show, how these solutions can be utilized to solve the minimum energy problem for the data transmission cost matrix which is a linear combination of two power functions. We define the minimum energy problem in terms of the sensors signal power, transmission time and capacities of transmission channels. We prove, that for the point-to-point data transmission method utilized by the sensors in the physical layer, when the transmitter adjust the power of its radio signal t…

MODELLING, OPTIMIZATION, AND 3E-ANALYSIS OF DISH-STIRLING CONCENTRATING SOLAR POWER SYSTEMS

2022

raggiungimento degli obiettivi del precedente Accordo di Parigi, tutti i Paesi sono stati invitati a impegnarsi a garantire l'azzeramento globale entro la metà del secolo e a mantenere l'aumento della temperatura media globale significativamente al di sotto dei 2 °C, rispetto ai livelli preindustriali, entro il 2050, e più precisamente entro il limite superiore di 1,5 °C. Tutti i Paesi stanno concentrando le loro politiche su una transizione energetica globale che consiste nell'aumento dell'uso di fonti rinnovabili per la generazione di elettricità e nell'uso diretto di calore e biomassa rinnovabili, nell'uso diretto di elettricità pulita nei trasporti e nelle applicazioni termiche, nel mig…