Search results for "Sel"

Turing's error-revised

2016

Many important lines of argumentation have been presented during the last decades claiming that machines cannot think like people. Yet, it has been possible to construct devices and information systems, which replace people in tasks which have previously been occupied by people as the tasks require intelligence. The long and versatile discourse over, what machine intelligence is, suggests that there is something unclear in the foundations of the discourse itself. Therefore, we critically studied the foundations of used theory languages. By looking critically some of the main arguments of machine thinking, one can find unifying factors. Most of them are based on the fact that computers canno…

Modelling Recurrent Events for Improving Online Change Detection

2016

The task of online change point detection in sensor data streams is often complicated due to presence of noise that can be mistaken for real changes and therefore affecting performance of change detectors. Most of the existing change detection methods assume that changes are independent from each other and occur at random in time. In this paper we study how performance of detectors can be improved in case of recurrent changes. We analytically demonstrate under which conditions and for how long recurrence information is useful for improving the detection accuracy. We propose a simple computationally efficient message passing procedure for calculating a predictive probability distribution of …

Coupling high-resolution satellite imagery with ALS-based canopy height model and digital elevation model in object-based boreal forest habitat type …

2014

We developed a classification workflow for boreal forest habitat type mapping. In object-based image analysis framework, Fractal Net Evolution Approach segmentation was combined with random forest classification. High-resolution WorldView-2 imagery was coupled with ALS based canopy height model and digital terrain model. We calculated several features (e.g. spectral, textural and topographic) per image object from the used datasets. We tested different feature set alternatives; a classification accuracy of 78.0 % was obtained when all features were used. The highest classification accuracy (79.1 %) was obtained when the amount of features was reduced from the initial 328 to the 100 most imp…

Towards proactive context-aware self-healing for 5G networks

2017

In this paper, we suggest a new research direction and a future vision for Self-Healing (SH) in Self-Organizing Networks (SONs). The problem we wish to solve is that traditional SH solutions may not be sufficient for the future needs of cellular network management because of their reactive nature, i.e., they start recovering after detecting already occurred faults instead of preparing for possible future faults in a pre-emptive manner. The detection delays are especially problematic with regard to the zero latency requirements of 5G networks. To address this problem, existing SONs need to be upgraded from reactive to proactive response. One of the dimensions in SH research is to employ more…

Visualising maritime vessel open data for better situational awareness in ice conditions

2018

Situational awareness of maritime vessels in ice conditions is important for the operation of supply chains. In the artic sea areas, the ice conditions pose a major challenge for maritime vessels getting stuck in the ice and being significantly delayed in arrival to harbor. Data science and open data provide new opportunities to overcome these challenges. This paper introduces available open data sources and data visualizations that can be used to develop applications, for example, for detecting maritime vessel collision, predicting estimated time of arrival to harbor, as well as maritime vessel route optimization in ice conditions. The paper begins by introducing available open data source…

Työura : yksilön valintoja vai monimutkaista kehkeytymistä?

2019

Artikkelissa tutkimme työurien kaaosteorian potentiaalia yhä moninaisemmiksi muuttuvien työuri-en ymmärtämisessä sekä työurien ja koetun terveyden välisten kytkösten hahmottamisessa. Kaaos-teoria tuo esiin työurien erilaiset muodot ja niitä värittävät monenlaiset epävarmuudet, satunnaisuu-det ja siirtymät. Aineistomme muodostuu kahdestatoista pohjoiskarjalalaisen miehen haastattelusta. Löysimme aineistosta kaikki teoriassa esitetyt neljä työuramuotoa, mutta ne limittyivät ja muoto saattoi myös vaihtua. Havaitsimme terveydentilan kytkeytyvän monisuuntaisesti työuran rakentumi-seen, ja taloudellisten kysymysten välittävän kytköksiä. Esitämmekin, että yksilön vapaata valintaa ja lineaarista ty…

The construction of academic identity in the changes of Finnish higher education

2013

This article sets out to explore how academics make sense of the current transformations of higher education and what kinds of academic identities are thereby constructed. Based on a narrative analysis of 42 interviews with Finnish academics, nine narratives are discerned, each providing a different answer as to what it means to be an academic in the present-day university. Narratives of resistance, loss, administrative work overload and job insecurity are embedded in a regressive storyline, describing deterioration of academic work and one's standing. In a sharp contrast, narratives of success, mobility and change agency rely on a progressive storyline which sees the current changes in a p…

Examining Bridge Employment From a Self-employment Perspective : Evidence From the Health and Retirement Study

2017

Equal access to the top? Measuring selection into finnish academia

2019

In this article, we draw a parallel between equality of opportunity in educational transitions and equality of opportunity in academic careers. In both cases, many methodological problems can be ameliorated by the use of longitudinal rather than cross-sectional data. We illustrate this point by using Finnish full-population register data to follow the educational and academic careers of the 1964–1966 birth cohorts from birth to the present day. We show how the Finnish professoriate is highly selected both in terms of parental background and in terms of gender. Individuals of different backgrounds differ greatly in the likelihood of completing different educational and academic transitions, …

An examination of nonresponse in a study on daily family life: I do not have time to participate, but I can tell you something about our life

2012

The aim of this study was to look at the issue of nonresponse and self-selection bias in the context of a family study on daily family life. Data on the participating families and refusers were gathered as part of the wider Palette study in which questionnaires and diaries were used as data collection methods. On the basis of these data (N = 208 participating families and 119 refuser families), we profile the families left outside the study. The parents who declined to participate in the Palette study were asked to fill in a short refusal form, which included questions concerning their family background and reasons for refusal, and they were also asked to write freely about their everyday l…