Search results for "tieto"
showing 10 items of 2143 documents
Ubiquitous Co-Driver System and Its Effects on the Situation Awareness of the Driver
2008
The aim of this paper is to explore the effects of ubiquitous computing in cars on the situation awareness and expectations of the driver. In a driving simulation environment with participants using a co-driver system, we investigated how people took and recovered from misinformation provided by the system. The system presented safety-critical information about the upcoming curves on the road, but in the experiment part of the messages contained false information. The effects of this information on participants’ behavior were investigated. On the grounds of the experiment, we discuss two approaches for investigating drivers’ situational awareness, which are based on either mental workload o…
EJB:n eri käyttötapojen tehokkuus tiedonsiirrossa tietokantaan käyttäen OC4J palvelinta
2002
Pricing of Digital Innovations as an Entrepreneurial Process
2019
How do entrepreneurs set a price for digital innovations they develop and market? This is an important question in current information society where digitalization is making established pricing models outdated. In this study, we focus on this issue by examining what kinds of activities and resources entrepreneurs possess when pricing digital innovations. Based on five case studies, including 37 interviews with key decision makers involved in the pricing process, we found that pricing of digital innovations can be conceptualized as an entrepreneurial process in which the pricing capabilities are developed based on the resources at hand. In this view, the pricing model is adjusted through neg…
Blind recovery of sources for multivariate space-time random fields
2022
AbstractWith advances in modern worlds technology, huge datasets that show dependencies in space as well as in time occur frequently in practice. As an example, several monitoring stations at different geographical locations track hourly concentration measurements of a number of air pollutants for several years. Such a dataset contains thousands of multivariate observations, thus, proper statistical analysis needs to account for dependencies in space and time between and among the different monitored variables. To simplify the consequent multivariate spatio-temporal statistical analysis it might be of interest to detect linear transformations of the original observations that result in stra…
Kyberturvallisuus esineiden internetissä
2017
Esineiden internetin laitteiden määrä on jatkuvasti kasvussa ja niiden hyödyt koskettavat kaikkia yhteiskuntamme jäseniä. Valitettavasti samanaikaisesti myös onnistuneiden kyberhyökkäysten määrä on kasvussa ja se uhkaa esineiden inter-netin luotettavuutta. Tämän takia onkin tärkeää tutkia, minkälaisia uhkia esinei-den internet kohtaa ja kuinka näiltä uhkilta voitaisiin suojautua. Tutkielmassa käsitellään esineiden internetin laitteita, mitä kyseiset laitteet ovat, kuinka ne toi-mivat ja miten ne ovat suojattu. Tutkielma toteutettiin kirjallisuuskatsauksena ja sen lähteinä on käytetty pääsääntöisesti akateemisten julkaisujen artikkeleita. Tutkielmassa selvisi esineiden internetin kyberturval…
Viro 100 : kaiken takana oli Nokia
2018
Sekä Suomi että Viro ovat viime vuosikymmeninä rakentaneet omaa tarinaansa tietoyhteiskuntina ja tietoteknologian edelläkävijämaina. Kilvoittelu on sparrannut kilpakumppaneita ja luonut synergiaetuja. nonPeerReviewed
The Appraisal Theory of Emotion in Human–Computer Interaction
2020
This chapter reviews the appraisal theory of emotion and how it has been employed in human–computer interaction (HCI) research. This theory views emotion as a process that evaluates the subjective significance of an event. We demonstrate the usefulness of the perspective for HCI, as emotion is defined in terms of the events of the task environment and the goals and knowledge of the subject. Importantly, the appraisal theory ties these factors together in a cognitive appraisal process order to explain the variety of subjective emotional experiences. This is important for two reasons. First, a strong theoretical commitment allows researchers and designers to derive testable hypotheses from th…
Automatic image-based identification and biomass estimation of invertebrates
2020
1. Understanding how biological communities respond to environmental changes is a key challenge in ecology and ecosystem management. The apparent decline of insect populations necessitates more biomonitoring but the time-consuming sorting and expert-based identification of taxa pose strong limitations on how many insect samples can be processed. In turn, this affects the scale of efforts to map and monitor invertebrate diversity altogether. Given recent advances in computer vision, we propose to enhance the standard human expert-based identification approach involving manual sorting and identification with an automatic image-based technology. 2. We describe a robot-enabled image-based ident…
Structured query construction via knowledge graph embedding
2020
In order to facilitate the accesses of general users to knowledge graphs, an increasing effort is being exerted to construct graph-structured queries of given natural language questions. At the core of the construction is to deduce the structure of the target query and determine the vertices/edges which constitute the query. Existing query construction methods rely on question understanding and conventional graph-based algorithms which lead to inefficient and degraded performances facing complex natural language questions over knowledge graphs with large scales. In this paper, we focus on this problem and propose a novel framework standing on recent knowledge graph embedding techniques. Our…
Requirement analysis for an artificial intelligence model for the diagnosis of the COVID-19 from chest X-ray data
2021
There are multiple papers published about different AI models for the COVID-19 diagnosis with promising results. Unfortunately according to the reviews many of the papers do not reach the level of sophistication needed for a clinically usable model. In this paper I go through multiple review papers, guidelines, and other relevant material in order to generate more comprehensive requirements for the future papers proposing a AI based diagnosis of the COVID-19 from chest X-ray data (CXR). Main findings are that a clinically usable AI needs to have an extremely good documentation, comprehensive statistical analysis of the possible biases and performance, and an explainability module.