Search results for "Machine"
showing 10 items of 2592 documents
Assessment of microalgae species, biomass, and distribution from spectral images using a convolution neural network
2022
AbstractEffective monitoring of microalgae growth is crucial for environmental observation, while the applications of this monitoring could also be expanded to commercial and research-focused microalgae cultivation. Currently, the distinctive optical properties of different microalgae groups are targeted for monitoring. Since different microalgae can grow together, their spectral signals are mixed with ambient properties, making estimations of species biomasses a challenging task. In this study, we cultured five different microalgae and monitored their growth with a mobile spectral imager in three separate experiments. We trained and validated a one-dimensional convolution neural network by…
Applying Minimalism in the Real World: Results From a Workshop
2020
Minimalism is a user-centered, contextual and goal-oriented approach to technical communication originally developed by John M. Carroll (1990). In minimalism, the aim is to produce user documentation that focuses on the user’s needs, helps the user recover from error situations, and strengthens the user’s skills in working with the system (Carroll & van der Meij 1995: 245). The challenge with minimalism has been its practical application: although user-centeredness – the core of minimalism – is the key issue in technical communication, the abstract nature of the approach and its focus on software documentation has made it difficult to apply in industry settings (Virtaluoto, Suojanen & Isohe…
Vastuullisuusarvot suomalaisten tekstiiliyritysten tarinoissa
2022
Textile industry causes significant negative environmental and social impacts. Sustainability in the industry has lately yielded more and more research interest, however, sustainability communication is underresearched area. In this paper, we will focus on sustainability communications in the Finnish textile industry through the stories of companies in their webpages. Storytelling has traditionally been a mode of transmitting, producing and reproducing the culture. Stories produce a structure in the reality, explain phenomena and concretize abstract concepts. In this research, we approach the stories as rhetorical devises, which address, attract and connect the reader to the company behind …
Classification of Targets Using Statistical Features from Range FFT of mmWave FMCW Radars
2021
Radars with mmWave frequency modulated continuous wave (FMCW) technology accurately estimate the range and velocity of targets in their field of view (FoV). The targeted angle of arrival (AoA) estimation can be improved by increasing receiving antennas or by using multiple-input multiple-output (MIMO). However, obtaining target features such as target type remains challenging. In this paper, we present a novel target classification method based on machine learning and features extracted from a range fast Fourier transform (FFT) profile by using mmWave FMCW radars operating in the frequency range of 77–81 GHz. The measurements are carried out in a variety of realistic situations, including p…
An Emulator Toolbox to Approximate Radiative Transfer Models with Statistical Learning
2015
Physically-based radiative transfer models (RTMs) help in understanding the processes occurring on the Earth’s surface and their interactions with vegetation and atmosphere. When it comes to studying vegetation properties, RTMs allows us to study light interception by plant canopies and are used in the retrieval of biophysical variables through model inversion. However, advanced RTMs can take a long computational time, which makes them unfeasible in many real applications. To overcome this problem, it has been proposed to substitute RTMs through so-called emulators. Emulators are statistical models that approximate the functioning of RTMs. Emulators are advantageous in real practice because…
L'écriture des documents numériques : Approche ergonomique
2007
Cet ouvrage traite de la conception de documents numériques utilisés en contexte professionnel et étudie en particulier les deux thèmes suivants : le découpage de l'information pour la mise en écran, les organisateurs de structure, de navigation et de mise en relief de l'information. L'influence sur la lecture des dispositifs de mise en forme matérielle et des organisateurs de structure et de navigation est souvent méconnue. Aussi les méthodes destinées à tester le rôle des dispositifs de mise en forme revêtent-elles une importance capitale et sont présentées à la fin de cet ouvrage. Les spécificités des supports (document papier et document numérique) sont également abordées en termes de c…
Erratum: De Teresa, J.M. et al. Comparison between Focused Electron/Ion Beam-Induced Deposition at Room Temperature and under Cryogenic Conditions. M…
2020
In Section 3 [...]
Machine Learning Models for Measuring Syntax Complexity of English Text
2019
In this paper we propose a methodology to assess the syntax complexity of a sentence representing it as sequence of parts-of-speech and comparing Recurrent Neural Networks and Support Vector Machine. We have carried out experiments in English language which are compared with previous results obtained for the Italian one.
A Navigation and Augmented Reality System for Visually Impaired People
2021
In recent years, we have assisted with an impressive advance in augmented reality systems and computer vision algorithms, based on image processing and artificial intelligence. Thanks to these technologies, mainstream smartphones are able to estimate their own motion in 3D space with high accuracy. In this paper, we exploit such technologies to support the autonomous mobility of people with visual disabilities, identifying pre-defined virtual paths and providing context information, reducing the distance between the digital and real worlds. In particular, we present ARIANNA+, an extension of ARIANNA, a system explicitly designed for visually impaired people for indoor and outdoor localizati…
Latviešu–angļu mašīntulkošanas optimizācija
2018
Pēdējo gadu laikā notikusī straujā dziļās mašīnmācīšanās attīstība ir ļāvusi attīstīties arī mašīntulkošanas nozarei. Lai palīdzētu uzņēmējiem apgūt starptautiskos tirgus un ļautu datortehnikas lietotājiem izmantot tehnoloģijas dzimtajā valodā, ir svarīgi attīstīt latviešu valodas mašīntulkošanas tehnoloģijas. Šajā darbā aprakstīti neirontulkošanas darbības principi un latviešu valodas morfoloģiskās īpatnības. Identificētas metodes, kas pašlaik sniedz labākos rezultātus latviešu valodas tulkošanā. Papildus tam ir veikti eksperimenti ar neirontulkošanas sistēmu trenēšanu un optimizāciju latviešu valodas tulkošanai. Darbā tiek aprakstīts jauns latviešu valodas vārdu segmentācijas algoritms, k…