Inferring ultraviolet anatomical exposure patterns while distinguishing the relative contribution of radiation components

Exposure to solar ultraviolet (UV) radiation is the main causative factor for skin cancer. UV exposure depends on environmental and individual factors, but individual exposure data remain scarce. UV irradiance is monitored via different techniques including ground measurements and satellite observations. However it is difficult to translate such observations into human UV exposure or dose because of confounding factors (shape of the exposed surface, shading, behavior, etc.) A collaboration between public health institutions, a meteorological office and an institute specialized in computing techniques developed a model predicting the dose and distribution of UV exposure on the basis of ground irradiation and morphological data. Standard 3D computer graphics techniques were adapted to develop this tool, which estimates solar exposure of a virtual manikin depicted as a triangle mesh surface. The amount of solar energy received by various body locations is computed for direct, diffuse and reflected radiation separately. The radiation components are deduced from corresponding measurements of UV irradiance, and the related UV dose received by each triangle of the virtual manikin is computed accounting for shading by other body parts and eventual protection measures. The model was verified with dosimetric measurements (n=54) in field conditions using a foam manikin as surrogate for an exposed individual. Dosimetric results were compared to the model predictions. The model predicted exposure to solar UV adequately. The symmetric mean absolute percentage error was 13%. Half of the predictions were within 17% range of the measurements. This model allows assessing outdoor occupational and recreational UV exposures, without necessitating time-consuming individual dosimetry, with numerous potential uses in skin cancer prevention and research. Using this tool, we investigated solar UV exposure patterns with respect to the relative contribution of the direct, diffuse and reflected radiation. We assessed exposure doses for various body parts and exposure scenarios of a standing individual (static and dynamic postures). As input, the model used erythemally-weighted ground irradiance data measured in 2009 at Payerne, Switzerland. A year-round daily exposure (8 am to 5 pm) without protection was assumed. For most anatomical sites, mean daily doses were high (typically 6.2-14.6 SED) and exceeded recommended exposure values. Direct exposure was important during specific periods (e.g. midday during summer), but contributed moderately to the annual dose, ranging from 15 to 24% for vertical and horizontal body parts, respectively. Diffuse irradiation explained about 80% of the cumulative annual exposure dose. Acute diffuse exposures were also obtained for cloudy summer days. The importance of diffuse UV radiation should not be underestimated when advocating preventive measures. Messages focused on avoiding acute direct exposures may be of limited efficiency to prevent skin cancers associated with chronic exposure (e.g., squamous cell carcinomas).

Environmental data mining and modeling based on machine learning algorithms and geostatistics

The paper presents some contemporary approaches to spatial environmental data analysis. The main topics are concentrated on the decision-oriented problems of environmental spatial data mining and modeling: valorization and representativity of data with the help of exploratory data analysis, spatial predictions, probabilistic and risk mapping, development and application of conditional stochastic simulation models. The innovative part of the paper presents integrated/hybrid model-machine learning (ML) residuals sequential simulations-MLRSS. The models are based on multilayer perceptron and support vector regression ML algorithms used for modeling long-range spatial trends and sequential simulations of the residuals. NIL algorithms deliver non-linear solution for the spatial non-stationary problems, which are difficult for geostatistical approach. Geostatistical tools (variography) are used to characterize performance of ML algorithms, by analyzing quality and quantity of the spatially structured information extracted from data with ML algorithms. Sequential simulations provide efficient assessment of uncertainty and spatial variability. Case study from the Chernobyl fallouts illustrates the performance of the proposed model. It is shown that probability mapping, provided by the combination of ML data driven and geostatistical model based approaches, can be efficiently used in decision-making process. (C) 2003 Elsevier Ltd. All rights reserved.

Shallow-transfer rule-based machine translation for Czech to Polish

This article describes the developmentof an Open Source shallow-transfer machine translation system from Czech to Polish in theApertium platform. It gives details ofthe methods and resources used in contructingthe system. Although the resulting system has quite a high error rate, it is still competitive with other systems.

Automatic acquisition of Named Entities for Rule-Based Machine Translation

This paper proposes to enrich RBMTdictionaries with Named Entities(NEs) automatically acquired fromWikipedia. The method is appliedto the Apertium English-Spanishsystem and its performance comparedto that of Apertium with and withouthandtagged NEs. The system withautomatic NEs outperforms the onewithout NEs, while results vary whencompared to a system with handtaggedNEs (results are comparable forSpanish to English but slightly worstfor English to Spanish). Apart fromthat, adding automatic NEs contributesto decreasing the amount of unknownterms by more than 10%.

Taking on new challenges in multi-word unit processing for Machine Translation

This paper discusses the qualitativecomparative evaluation performed on theresults of two machine translation systemswith different approaches to the processing ofmulti-word units. It proposes a solution forovercoming the difficulties multi-word unitspresent to machine translation by adopting amethodology that combines the lexicongrammar approach with OpenLogos ontologyand semantico-syntactic rules. The paper alsodiscusses the importance of a qualitativeevaluation metrics to correctly evaluate theperformance of machine translation engineswith regards to multi-word units.

Bootstrapping a statistical speech translator from a rule-based one

We describe a series of experiments in which we start with English to French and English to Japanese versions of an Open Source rule-based speech translation system for a medical domain, and bootstrap correspondign statistical systems. Comparative evaluation reveals that the rule-based systems are still significantly better than the statistical ones, despite the fact that considerable effort has been invested in tuning both the recognition and translation components; also, a hybrid system only marginally improved recall at the cost of a los in precision. The result suggests that rule-based architectures may still be preferable to statistical ones for safety-critical speech translation tasks.

A Widely Used Machine Translation Service and its Migration to a Free/Open-Source Solution : the Case of Softcatalà

Softcatalà is a non-profit associationcreated more than 10 years ago to fightthe marginalisation of the Catalan languagein information and communicationtechnologies. It has led the localisationof many applications and thecreation of a website which allows itsusers to translate texts between Spanishand Catalan using an external closed-sourcetranslation engine. Recently,the closed-source translation back-endhas been replaced by a free/open-sourcesolution completely managed by Softcatalà: the Apertium machine translationplatform and the ScaleMT web serviceframework. Thanks to the opennessof the new solution, it is possibleto take advantage of the huge amount ofusers of the Softcatalà translation serviceto improve it, using a series ofmethods presented in this paper. In addition,a study of the translations requestedby the users has been carriedout, and it shows that the translationback-end change has not affected theusage patterns.

Hybrid model of a double-fed induction machine and back-to-back converter

This report details the port interconnection of two subsystems: a power electronics subsystem (a back-to-back AC/AC converter (B2B), coupled to a phase of the power grid), and an electromechanical subsystem (a doubly-fed induction machine (DFIM), coupled mechanically to a flywheel and electrically to the power grid and to a local varying load). Both subsystems have been essentially described in previous reports (deliverables D 0.5 and D 4.3.1), although some previously unpublished details are presented here. The B2B is a variable structure system (VSS), due to the presence of control-actuated switches: however from a modelling and simulation, as well as a control-design, point of view, it is sensible to consider modulated transformers (MTF in the bond-graph language) instead of the pairs of complementary switches. The port-Hamiltonian models of both subsystems are presents and coupled through a power-preserving interconnection, and the Hamiltonian description of the whole system is obtained; detailed bond-graphs of all the subsystems and the complete system are provided.

Energy-based modelling and simulation of the interconnection of a back-to-back converter and a doubly-fed induction machine

This paper describes the port interconnection of two subsystems: a power electronics subsystem (a back-to-back AC/CA converter (B2B), coupled to a phase of the power grid), and an electromechanical subsystem (a doubly-fed induction machine (DFIM). The B2B is a variable structure system (VSS), due to presence of control-actuated switches: however, from a modelling simulation, as well as a control-design, point of view, it is sensible to consider modulated transformers (MTF in the bond graph language) instead of the pairs of complementary switches. The port-Hamiltonian models of both subsystems are presented and, using a power-preserving interconnection, the Hamiltonian description of the whole system is obtained; detailed bond graphs of all subsystems and the complete system are also provided. Using passivity-based controllers computed in the Hamiltonian formalism for both subsystems, the whole model is simulated; simulations are run to rest the correctness and efficiency of the Hamiltonian network modelling approach used in this work.

Impingement jet cooling of end windings in a high-speed electric machine

The rotational speed of high-speed electric machines is over 15 000 rpm. These machines are compact in size when compared to the power rate. As a consequence, the heat fluxes are at a high level and the adequacy of cooling becomes an important design criterion. In the high-speed machines, the air gap between the stator and rotor is a narrow flow channel. The cooling air is produced with a fan and the flow is then directed to the air gap. The flow in the gap does not provide sufficient cooling for the stator end windings, and therefore additional cooling is required. This study investigates the heat transfer and flow fields around the coil end windings when cooling jets are used. As a result, an innovative and new assembly is introduced for the cooling jets, with the benefits of a reduced amount of hot spots, a lower pressure drop, and hence a lower power need for the cooling fan. The gained information can also be applied to improve the cooling of electric machines through geometry modifications. The objective of the research is to determine the locations of the hot spots and to find out induced pressure losses with different jet alternatives. Several possibilities to arrange the extra cooling are considered. In the suggested approach cooling is provided by using a row of air jets. The air jets have three main tasks: to cool the coils effectively by direct impingement jets, to increase and cool down the flow that enters the coil end space through the air gap, and to ensure the correct distribution of the flow by forming an air curtain with additional jets. One important aim of this study is the arrangement of cooling jets in such manner that hot spots can be avoided to wide extent. This enables higher power density in high-speed motors. This cooling system can also be applied to the ordinary electric machines when efficient cooling is needed. The numerical calculations have been performed using a commercial Computational Fluid Dynamics software. Two geometries have been generated: cylindrical for the studied machine and Cartesian for the experimental model. The main parameters include the positions, arrangements and number of jets, the jet diameters, and the jet velocities. The investigated cases have been tested with two widely used turbulence models and using a computational grid of over 500 000 cells. The experimental tests have been made by using a simplified model for the end winding space with cooling jets. In the experiments, an emphasis has been given to flow visualisation. The computational analysis shows good agreement with the experimental results. Modelling of the cooling jet arrangement enables also a better understanding of the complex system of heat transfer at end winding space.

Pituusleikkurin turvaväylät ja koneturvallisuus

Turvallisuuteen liittyvän ohjausjärjestelmän tehtävänä on siirtää ja käsitellä turvallisuuskriittistä tietoa. Esimerkiksi anturin (turvalaitteen) havaitessa vaaravyöhykkeelle pyrkivän ihmisen tulee ensimmäisenä tiedon välittyä ohjausjärjestelmään. Ohjausjärjestelmän on muodostettava saapuneen tiedon perusteella käsky tehonohjauselimille. Tehonohjauselimillä säädellään koneen käyttöenergian syöttöä ja sitä kautta on mahdollista pysäyttää koneen liike ennen mahdollisen vahingon sattumista. Perinteiset turvaratkaisut ovat perustuneet pakkotoimintaisiin releisiin ja kahdennuksiin. Tällämenetelmällä on toteutettu varmatoimintaisia turvaratkaisuja, joissa yksittäiset viat ovat paljastuneet. Nykyisin on kuitenkin yhä enemmän tarvetta integroida turvatoiminnot automaatiojärjestelmään ja toteuttaa turvaratkaisut hajautetuillajärjestelmillä. Hajautetut järjestelmät sisältävät osittain ohjelmoitavien järjestelmien etuja ja haittoja, mutta tuovat mukanaan myös uudenlaisia vikoja. Työn tarkoitus oli selvittää, millaisia rajoituksia koneturvallisuus asettaa paperiteollisuuden pituusleikkurien turvallisuuteen liittyville ohjausjärjestelmille, sekä selvittää turvallisuuteen liittyvien järjestelmien rakennetta ja ominaisuuksia. Tässä työssä tutkittiin AS-i, EsaLan ja ProfiSafe turvajärjestelmiä teknisten tietojen perusteella. Tutkitut järjestelmät ovat erilaisia ja soveltuvat tämän vuoksi hieman erilaisiin kohteisiin. Kaikilla näillä järjestelmillä on kuitenkin mahdollista toteuttaa pituusleikkurin turvaväyläjärjestelmässä riittävä turvallisuuden taso koneturvallisuuden näkökulmasta. Tämä edellyttää oikein tehtyä riskianalyysiä ja oikeita suunnittelumenetelmiä. Teknisten tietojen perusteella otettiin testattavaksi AS-i safety at workja EsaLan:in Compact järjestelmät, joille suoritettiin sähkömagneettiseen yhteensopivuuteen (EMC) ja toiminnallisuuteen liittyviä testejä.

Automaattisen pakkauskoneen käyttövarmuuden varmentaminen

Työn tavoitteena oli selvittää ja varmistaa uuden pakkauskoneen riittävä käyttövarmuus. Käyttövarmuuden selvittämistä varten tutustuttiin käyttövarmuuden käsitteisiin jatunnuslukuihin, sekä selvitettiin kunnossapidon merkitystä käyttövarmuuteen. Pakkauskoneen käyttövarmuutta analysoitiin vikapuumallin avulla. Analysointia varten laadittu vikapuumalli koostuu 391 perustapahtumasta ja yhteensä 629 tapahtumasta. Käyttövarmuusanalyysi suoritettiin kvalitatiivisesti ja kvantitatiivisesti. Analysointi painottuu kuitenkin kvantitatiiviseen simulointiin. Käyttövarmuusanalysoinnin apuna käytettiin simulointiohjelmaa. Käyttövarmuusvaatimukseksi asetettiin 99 % käytettävyys vuoden käyttöjakson aikana. Vikapuuanalyysin tuloksena saatiin arvio pakkauskoneen kokonaiskäytettävyydestä. Kokonaiskäytettävyydeksi muodostui 96,44 %, joka ei täytä käyttövarmuusvaatimusta. Yksittäisistä komponenttityypeistä epäluotettavimpia olivat liimalaitteiston ja paineilmajärjestelmän komponentit. Analysointityökalun avulla voitiin osoittaa käyttövarmuutta parantavien osatekijöiden vaikutukset saatuun kokonaiskäytettävyyteen. Käyttövarmuuteen voitiin vaikuttaa kunnossapidon avulla, lyhentämällä korjausaikaa ja varmentamalla komponentteja. Esitettyjen keinojen avulla käytettävyyttä on mahdollista nostaa n. 2,18 prosenttiyksikköä. Toimenpidesuositukset esitettiin saatujen tulosten ja työssä havainnoitujen asioiden perusteella. Käytettävyyden parantamiseksi ja varmistamiseksi suositetaan oikeanlaisia kunnossapitotoimenpiteitä, tehokkaan vikadiagnostiikan rakentamista sekä antureiden varmentamista. Käyttökunnonvalvonta suositetaan suoritettavaksi määräaikaistarkastuksina. Käyttökuntoa on aloitettava seuraamaan pidemmällä aikavälillä tapahtuvina häiriöraportointeina. Lisäksi tulevaisuudessa on vaadittava käyttövarmuustakuut toimittajilta laitehankintojen yhteydessä.

Fuzzy Principal Components Analysis

Due to the large number of characteristics, there is a need to extract the most relevant characteristicsfrom the input data, so that the amount of information lost in this way is minimal, and the classification realized with the projected data set is relevant with respect to the original data. In order to achieve this feature extraction, different statistical techniques, as well as the principal components analysis (PCA) may be used. This thesis describes an extension of principal components analysis (PCA) allowing the extraction ofa finite number of relevant features from high-dimensional fuzzy data and noisy data. PCA finds linear combinations of the original measurement variables that describe the significant variation in the data. The comparisonof the two proposed methods was produced by using postoperative patient data. Experiment results demonstrate the ability of using the proposed two methods in complex data. Fuzzy PCA was used in the classificationproblem. The classification was applied by using the similarity classifier algorithm where total similarity measures weights are optimized with differential evolution algorithm. This thesis presents the comparison of the classification results based on the obtained data from the fuzzy PCA.

Genetic components to caste allocation in a multiple-queen ant species.

Reproductive division of labor and the coexistence of distinct castes are hallmarks of insect societies. In social insect species with multiple queens per colony, the fitness of nestmate queens directly depends on the process of caste allocation (i.e., the relative investment in queen, sterile worker and male production). The aim of this study is to investigate the genetic components to the process of caste allocation in a multiple-queen ant species. We conducted controlled crosses in the Argentine ant Linepithema humile and established single-queen colonies to identify maternal and paternal family effects on the relative production of new queens, workers, and males. There were significant effects of parental genetic backgrounds on various aspects of caste allocation: the paternal lineage affected the proportion of queens and workers produced whereas the proportions of queens and males, and females and males were influenced by the interaction between parental lineages. In addition to revealing nonadditive genetic effects on female caste determination in a multiple-queen ant species, this study reveals strong genetic compatibility effects between parental genomes on caste allocation components.

Valukappaleen ainetta rikkomattoman tarkastusprosessin kehittäminen

Ainetta rikkomattomien tarkastusten merkitys erityisesti valettujen kappaleiden valmistuksen yhteydessä on ratkaiseva koneenosan luotettavuuden varmistamisessa. Suurilujuuksiset kuormausnosturin kääntöpylväät ovat kriittisiä osia, joiden vaurioituminen aiheuttaa kustannuksia ja työturvallisuusriskin. Kuormainvalmistajat haluavat, että toimitetut kääntöpylväät täyttävät asetetut laatuvaatimukset, joihin kuuluu säröttömyyden varmistaminen tarkastamalla. Väsymisvaurioiden välttämiseksi kappaleiden pinnan virheettömyys on tarkastettava jollakin pintatarkastusmenetelmällä. Magneettijauhetarkastus on eräs käyttökelpoinen ja taloudellinen menetelmä kyseessä olevien teräsvalukappaleiden tarkastamisessa. Tähän työhön on koottu magneettijauhetarkastukseen (menetelmänä) liittyvää tietoa. Työssä on laadittu kääntöpylväisiin koneistuksia tekevän yrityksen käyttöön tarkastuksen yleisohje. Yrityksessä otetaan käyttöön uusi magneettijauhetarkastuslaitteisto. Tarkastusmenetelmä on fluoresoivamärkä menetelmä, jossa käytetään UV-valaistusta. Tarkastusohjeen tueksi on kuvattu vertailukuvasarja tarkastajien käyttöön. Suurin sallittava särönpituus on väsymisen kannalta tärkein yksittäinen tekijä ja siksi sen arvioinnin on oltava luotettavaa. Työturvallisuuteen on kiinnitetty erityistä huomiota, sillä asiakkaatovat usein kiinnostuneita paitsi itse tuotteesta, myös yrityksen toiminnallisesta laadusta. Yhtenä laadun mittarina voidaan pitää vahinkojen ja tapaturmien vähäisyyttä. Selkeät toimintaohjeet viestivät laatutietoisesta turvallisesta toiminnasta. Yrityksen laatukäsikirjaan on tehtävä lisäys pylväiden tarkastamisesta jatyöturvallisuudesta. Työssä on laadittu lisäyksestä ehdotus. Lisäksi työssä on pohdittu yrityksen ja työntekijöiden toimintaan liittyviä vastuukysymyksiä.