Search results for "EURA"
showing 10 items of 3336 documents
Ympäristövastuullisuuden edistäminen seurakunnissa : johdon rooli työntekijöiden sitouttamisessa
2016
Suomen evankelisluterilaiset seurakunnat toteuttavat monien yhteiskunnallisesti merkittävien tehtävien ohella vastuullista ympäristötoimintaa. Työkaluksi siihen on kehitetty seurakuntien vapaaehtoinen ympäristöjärjestelmä, Kirkon ympäristödiplomi. Diplomin vaikuttavuutta voidaan parantaa johdon sitoutumisella ja työntekijöiden sitouttamisella ympäristötoimintaan. Tutkielmassa sitoutuneisuutta kartoitettiin kyselyllä, johon vastasi 50 Oulun hiippakunnan seurakuntien johdon edustajaa sekä diplomiseurakunnista, että seurakunnista, joissa ei ole diplomia. Lisäksi tarkasteltiin sähkönkulutusta yhtenä ympäristökysymyksenä ja selvitettiin sähkönsäästöön sitoutumisen vaikutusta seurakuntien sähkönk…
Linear fusion of interrupted reports in cooperative spectrum sensing for cognitive radio networks
2015
Interrupted reporting has recently been introduced as an effective method to increase the energy efficiency of cooperative spectrum sensing schemes in cognitive radio networks. In this paper, joint optimization of the reporting and fusion phases in a cooperative sensing with interrupted reporting is considered. This optimization aims at finding the best weights used at the fusion center to construct a linear fusion of the received interrupted reports, jointly with Bernoulli distributions governing the statistical behavior of the interruptions. The problem is formulated by using the deflection criterion and as a nonconvex quadratic program which is then solved for a suboptimal solution, in a…
Genetic programming through bi-objective genetic algorithms with a study of a simulated moving bed process involving multiple objectives
2013
A new bi-objective genetic programming (BioGP) technique has been developed for meta-modeling and applied in a chromatographic separation process using a simulated moving bed (SMB) process. The BioGP technique initially minimizes training error through a single objective optimization procedure and then a trade-off between complexity and accuracy is worked out through a genetic algorithm based bi-objective optimization strategy. A benefit of the BioGP approach is that an expert user or a decision maker (DM) can flexibly select the mathematical operations involved to construct a meta-model of desired complexity or accuracy. It is also designed to combat bloat - a perennial problem in genetic …
Evaluating the performance of artificial neural networks for the classification of freshwater benthic macroinvertebrates
2014
Abstract Macroinvertebrates form an important functional component of aquatic ecosystems. Their ability to indicate various types of anthropogenic stressors is widely recognized which has made them an integral component of freshwater biomonitoring. The use of macroinvertebrates in biomonitoring is dependent on manual taxa identification which is currently a time-consuming and cost-intensive process conducted by highly trained taxonomical experts. Automated taxa identification of macroinvertebrates is a relatively recent research development. Previous studies have displayed great potential for solutions to this demanding data mining application. In this research we have a collection of 1350 …
Convolutional neural networks in skin cancer detection using spatial and spectral domain
2019
Skin cancers are world wide deathly health problem, where significant life and cost savings could be achieved if detection of cancer can be done in early phase. Hypespectral imaging is prominent tool for non-invasive screening. In this study we compare how use of both spectral and spatial domain increase classification performance of convolutional neural networks. We compare five different neural network architectures for real patient data. Our models gain same or slightly better positive predictive value as clinicians. Towards more general and reliable model more data is needed and collection of training data should be systematic. peerReviewed
Recommending Serendipitous Items using Transfer Learning
2018
Most recommender algorithms are designed to suggest relevant items, but suggesting these items does not always result in user satisfaction. Therefore, the efforts in recommender systems recently shifted towards serendipity, but generating serendipitous recommendations is difficult due to the lack of training data. To the best of our knowledge, there are many large datasets containing relevance scores (relevance oriented) and only one publicly available dataset containing a relatively small number of serendipity scores (serendipity oriented). This limits the learning capabilities of serendipity oriented algorithms. Therefore, in the absence of any known deep learning algorithms for recommend…
Exercising exclusions: Space, visibility, and monitoring of the exercising fat female body
2019
The author’s aim is to inspect the position of the fat (female) body in the field of exercise. Specifically, the author is interested in fat women’s experiences of their treatment while exercising in public, and argues that, in particular, public spaces for exercise, such as gyms and swimming pools, are currently discursively and concretely constructed as “exclusive” spaces for the normative bodied. Bodies that are deemed non-normative, such as fat bodies, are often made either invisible or intolerable in the discourse of physical activity and exercise. Consequently, public spaces for exercise such as gyms or swimming pools are seen as out of bounds for non-normative bodies and this is refl…
Diversity begets diversity: A global perspective on gender equality in scientific society leadership.
2018
Research shows that gender inequality is still a major issue in academic science, yet academic societies may serve as underappreciated and effective avenues for promoting female leadership. That is, society membership is often self-selective, and board positions are elected (with a high turnover compared to institutions)—these characteristics, among others, may thus create an environment conducive to gender equality. We therefore investigate this potential using an information-theoretic approach to quantify gender equality (male:female ratios) in zoology society boards around the world. We compare alternative models to analyze how society characteristics might predict or correlate with the …