Search results for "artificial intelligence"

Task Planner for Robotic Disassembly of Electric Vehicle Battery Pack

2021

The rapidly growing deployment of Electric Vehicles (EV) put strong demands on the development of Lithium-Ion Batteries (LIBs) but also into its dismantling process, a necessary step for circular economy. The aim of this study is therefore to develop an autonomous task planner for the dismantling of EV Lithium-Ion Battery pack to a module level through the design and implementation of a computer vision system. This research contributes to moving closer towards fully automated EV battery robotic dismantling, an inevitable step for a sustainable world transition to an electric economy. For the proposed task planner the main functions consist in identifying LIB components and their locations, …

Multispectral analysis of color vision deficiency tests

2011

Color deficiency tests are usually produced by means of polygraphy technologies and help to diagnose the type and severity of the color deficiencies. Due to different factors, as lighting conditions or age of the test, standard characteristics of these tests fail, thus not allowing diagnosing unambiguously the degree of different color deficiency. Multispectral camera was used to acquire the spectral images of the Ishihara and Rabkin pseudoisochromatic plates in the visible spectrum. Spectral data was converted to cone signals, and successive mathematics applied to provide a simple simulation of the test performance. Colorimetric data of the each pixel of the test image can be calculated an…

Identity and relationship frames in medical leadership communication

2021

PurposeA frame is an interpretive scheme of meanings that guide participants’ interpretations of social interaction and their actions in social situations (Goffman, 1974). By identifying early-career physicians’ identity and relationship frames, this study aims to produce information about socially constructed ways to interpret leadership communication in a medical context.Design/methodology/approachThe data consist of essays written by young physicians (n= 225) during their specialization training and workplace learning period. The analysis was conducted applying constructive grounded theory.FindingsThree identity and relationship frames were identified: the expertise frame, the collegial …

TEACHING IN BUSINESS ADMINISTRATION: A CUSTOMIZED PROCESS DRIVEN BY TECHNOLOGICAL INNOVATIONS

2020

espanolTres innovaciones tecnologicas desafian los procesos de aprendizaje de la educacion superior. Este documento aborda las implicaciones para estos procesos de aprendizaje de transformacion digital interactiva, inteligencia artificial y personalizacion de contenido. Estas innovaciones involucran tres tipos de procesos de aprendizaje y ensenanza: aprendizaje digital, analisis de aprendizaje y aprendizaje personalizado. Nuestro enfoque sugiere implicaciones relevantes para llevar a cabo actividades de ensenanza en el nuevo escenario caracterizado por aprender en cualquier lugar, en cualquier momento. Ademas, el proceso de digitalizacion permite a los maestros usar tecnicas de mineria de d…

Lielo datu tehnoloģiju, mākslīgā intelekta ietekme uz demokrātiju: ASV gadījuma analīze

2019

Maģistra darba tēma ir “Lielo datu tehnoloģiju, mākslīgā intelekta ietekme uz demokrātiju: ASV gadījuma analīze”. Maģistra darba mērķis ir noskaidrot vai lielo datu tehnoloģiju un mākslīgā intelekta attīstības kontekstā ir nepieciešams normatīvā ietvara atjauninājums, papildinājums, kas paredz stabilu demokrātisko principu aizsardzību un izvairīšanos no tehnoloģiju centralizēšanas. Darba mērķa sasniegšanai veikti šādi uzdevumi: •izpētīta teorētiskā un zinātniskā literatūra par mākslīgo intelektu, lielo datu tehnoloģijām, šo tehnoloģiju attīstību un izmantošanu, kā arī par demokrātiju, demokrātisko procesu attīstību; •definēti 11 primārie liberālās demokrātijas principi, kas izriet no demokr…

What Key Aspects Do ICOs Reveal About Their Businesses?

2020

AbstractBlockchain technologies disrupt industries by enabling decentralized and transactional data sharing across a network of untrusted participants, among others. Initial Coin Offerings (ICOs) are a novel form of crowdfunding through which hundreds of blockchain-enabled businesses manage to raise billions of dollars in total only in United States. However, there is a lack of understanding of the ICO phenomenon especially related to the business aspects. In this paper, we describe the results of an exploratory study of 91 ICOs and identify the key business model elements that ICOs reveal in their websites and whitepapers. Furthermore, we also note the immaturity and lack of transparency o…

Book Review: Statistical Inference as Severe Testing

2019

Combining Sequence Analysis and Hidden Markov Models in the Analysis of Complex Life Sequence Data

2018

Life course data often consists of multiple parallel sequences, one for each life domain of interest. Multichannel sequence analysis has been used for computing pairwise dissimilarities and finding clusters in this type of multichannel (or multidimensional) sequence data. Describing and visualizing such data is, however, often challenging. We propose an approach for compressing, interpreting, and visualizing the information within multichannel sequences by finding (1) groups of similar trajectories and (2) similar phases within trajectories belonging to the same group. For these tasks we combine multichannel sequence analysis and hidden Markov modelling. We illustrate this approach with an …

What makes segmentation good? A case study in boreal forest habitat mapping

2013

Segmentation goodness evaluation is a set of approaches meant for deciding which segmentation is good. In this study, we tested different supervised segmentation evaluation measures and visual interpretation in the case of boreal forest habitat mapping in Southern Finland. The data used were WorldView-2 satellite imagery, a lidar digital elevation model (DEM), and a canopy height model (CHM) in 2 m resolution. The segmentation methods tested were the fractal net evolution approach (FNEA) and IDRISI watershed segmentation. Overall, 252 different segmentation methods, layers, and parameter combinations were tested. We also used eight different habitat delineations as reference polygons agains…

Glottal Source Features for Automatic Speech-Based Depression Assessment

2017

Depression is one of the most prominent mental disorders, with an increasing rate that makes it the fourth cause of disability worldwide. The field of automated depression assessment has emerged to aid clinicians in the form of a decision support system. Such a system could assist as a pre-screening tool, or even for monitoring high risk populations. Related work most commonly involves multimodal approaches, typically combining audio and visual signals to identify depression presence and/or severity. The current study explores categorical assessment of depression using audio features alone. Specifically, since depression-related vocal characteristics impact the glottal source signal, we exa…