Operational Cost Reduction in WDM Networks using Lighttours

Wavelength division multiplexing (WDM) networks have been adopted as a near-future solution for the broadband Internet. In previous work we proposed a new architecture, named enhanced grooming (G+), that extends the capabilities of traditional optical routes (lightpaths). In this paper, we compare the operational expenditures incurred by routing a set of demands using lightpaths with that of lighttours. The comparison is done by solving an integer linear programming (ILP) problem based on a path formulation. Results show that, under the assumption of single-hop routing, almost 15% of the operational cost can be reduced with our architecture. In multi-hop routing the operation cost is reduced in 7.1% and at the same time the ratio of operational cost to number of optical-electro-optical conversions is reduced for our architecture. This means that ISPs could provide the same satisfaction in terms of delay to the end-user with a lower investment in the network architecture

Brain dynamics sustaining rapid rule extraction from speech

Language acquisition is a complex process that requires the synergic involvement of different cognitive functions, which include extracting and storing the words of the language and their embedded rules for progressive acquisition of grammatical information. As has been shown in other fields that study learning processes, synchronization mechanisms between neuronal assemblies might have a key role during language learning. In particular, studying these dynamics may help uncover whether different oscillatory patterns sustain more item-based learning of words and rule-based learning from speech input. Therefore, we tracked the modulation of oscillatory neural activity during the initial exposure to an artificial language, which contained embedded rules. We analyzed both spectral power variations, as a measure of local neuronal ensemble synchronization, as well as phase coherence patterns, as an index of the long-range coordination of these local groups of neurons. Synchronized activity in the gamma band (2040 Hz), previously reported to be related to the engagement of selective attention, showed a clear dissociation of local power and phase coherence between distant regions. In this frequency range, local synchrony characterized the subjects who were focused on word identification and was accompanied by increased coherence in the theta band (48 Hz). Only those subjects who were able to learn the embedded rules showed increased gamma band phase coherence between frontal, temporal, and parietal regions.

Aplicación de una lengua electrónica voltamétrica para la clasificación de vinos y estudio de correlación con la caracterización química y sensorial

This paper presents the analytical application of a novel electronic tongue based on voltammetric sensors array. This device was used in the classification of wines aged in barrels of different origins and toasting levels. Furthermore, a study of correlation between the response of the electronic tongue and the sensory and chemical characterization of samples was carried out. The results were evaluated by applying both principal component analysis and cluster analysis. The samples were clearly classified. Their distribution showed a high correspondence degree with the characteristics of the analyzed wines, it also showed similarity with the classification obtained from organoleptic analysis.

Ammatillisen osaamisen tukeminen muuttuvissa toimintaympäristöissä : tutkimus ikääntyvien työntekijöiden näkökulmasta

The purpose of the study was to describe the experiences of received support of aging employees and their work related self-image in changing working environments. Firstly, theaim was to discover how the support from organisations and leaders was verified. Secondly, the aim was to get answers how employees experienced themselves as workers and as learners in the current work context. Thirdly, the aim was to compare different knowledge information stages and company cultures and how they have influenced the experiences of professional competence development among aging employees. In addition the education- and career backgrounds were investigated to gain more understanding of their role in experiencing support and relation to the occupational self-image. The theoretical frame of reference of this researchis multidisciplinary. The theoretical part focuses on the meaning of work for human being from a sociological, late-modern perspective. On the other hand it examines the ageing process from a physiological and also from a perspective of age discrimination and life control. The occupational selfimage and the strength of motivation has an effect on learning in working life which is crucial and firmpart individual trajectories. According to the theoretical review company culture, leadership and especially the managers' role as a creator of a learning atmosphere are increasingly critical for aging adults' learning when the role of informal work-based learning is increasing. The empirical data was collected with aquestionnaire and interviews, which were carried out in May to October 2001. The data consists of 263 respondents of which further eight persons were interviewed. All respondents were over the age of 45 and represented all levels of their organisations in an IT-technology firm and a chemical industry plant. The central findings in this research show that the aging adults have experienced that theemployers do care about the development of their occupational skills. On the other hand there are fewer concrete activities to reveal this support. There is anobvious disproportion between the expressed aims and the realisation of the activities. Signs of age discrimination are few. The style of management has becomemore supporting for self directed activities which are seen to support adults learning. Higher education and individual activity to seek possibilities to learnwere encouraging the development of occupational skills. Age itself was not a crucial aspect when comparing the experiences among younger (45-54 years) and older (55-64 years) groups. Job satisfaction and professional self esteem seemed tobe considerably strong. The individual characteristics were more important elements in developing occupational skills than the age. The degree of anxiety at work was low. In addition among the older group the strong feeling of coherence and the occupational self image were significant for supporting the professional competence. The motivation to learn was also stable. Among the seniors there was some slight evidence of declining motivation. In the IT-firm the support was experienced stronger for aging employees than in the chemical industry plant. Thosewho had experienced support in the chemical industry plant had higher educational background than the others. In IT-firm they also experienced more support from the manager than in the chemical industry plant. The results show that it is more likely that the differences are caused mostly by the stage of information intensity and the character of company culture which is determined by the activities. IT-business demands constantly accommodation to changes and the chemical industry plant which is representing more traditional business field, where the atmosphere of learning is determined by the traditions of company culture, the changes are carried out slowly.

Images of imagination : an aesthetic approach to education

Visual art practice has generally been described as a lonely affair, thinking about what an artist has experienced in the outside world. This study is an inquiry into a visual art practice of another kind: the relational one. The research purpose is twofold. The first purpose is to shed light on a visual artist’s conceptions of art, education and scholarship. The second purpose is to by reasoning on imagination and a rhizomatic formation interpret the relations created between art, multimodality and literacy learning as an aesthetic approach to education. By inquiry into a specific collaborated long-term art practice, the study conveys how the meaning making elements of an arts based learning practice gradually transform an artist’s and a teacher’s concepts of art education to an aesthetic approach to education. In the art practice examined the typical Finnish rye bread and a poem have represented a cultural theme that has been elaborated through art conventions. The poem and the rye bread have in the art practice been articulated as cultural representations of as well as symbolic projections on the Swedishspeaking minority culture in Finland. The study connects art informed inquiry to a hermeneutic research rationale where the research reasoning is generated through a rhizomatic alliance between empiric data and theories. The reasoning is constructed as an interpretation pattern that expands throughout the study. The study arguments that the rhizome as an aesthetic formation can be appropriate to refer to when articulating arts based meaning making and when creating arts based educational strategies, dialogues, aesthetic learning and multimodal literacy in education. The study investigates an aesthetic approach to research in education, which means that the art practice surveyed is interpreted through articulation appropriate to poetic aspects of art, education and research.

How to (dis)solve Nagel's paradox about moral luck and responsibility

Abstract In this paper I defend a solution to the moral luck problem based on what I call "a fair opportunity account of control." I focus on Thomas Nagel's claim that moral luck reveals a paradox, and argue that the apparent paradox emerges only because he assumes that attributions of responsibility require agents to have total control over their actions. I argue that a more modest understanding of what it takes for someone to be a responsible agent-i.e., being capable of doing the right thing for the right reasons-dissolves the paradox and shows that responsibility and luck aren't at odds.

Alkavan yrityksen strategiset vaihtoehdot ja selviytyminen

Työn tavoitteena on soveltaa yrityksen perustamiseen, innovaation diffuusioon ja strategiseen suunnitteluun liittyvää teoriaa Delitaz Oy:n kehitykseen liiketoimintamahdollisuuden havaitsemisesta uudeksi yritykseksi. Työssä etsitään keinoja yrityksen kehittämän innovatiivisen tuotteen saamiseksi nopeammin markkinoille ja lähtökohtia tulevaa liiketoimintasuunnitelman päivitystä varten. Työssä kootaan yhteen uuden yrityksen perustamisen vaiheisiin, selviytymiseen ja menestymiseen liittyvää teoriaa liiketoimintamahdollisuuden havaitsemisesta uuden inno-vatiivisen tuotteen markkinoille tuomiseen ja yrityksen strategiseen suunnitteluun. Tapaus-osiossa perehdytään kohdeyrityksen perustamisen vaiheisiin, toimintaympäristöön, tuotteeseen ja liiketoimintaan. Työn menetelmänä on tapaus- kehittämis- ja toimintatutkimuksen yhdistelmä. Kehittämis- tai toimintatutkimuksen varsinainen käytännön testaamisvaihe jää työn ulkopuolelle, sillä haluttuja muutoksia lähdetään vasta toteuttamaan. Johtopäätöksinä kuvataan yhden liiketoimintamahdollisuuden kehittyminen ideasta tuotteeksi ja teknologiayritykseksi yrityksen perustamisen teoriaan verrattuna ja esitetään keinoja tuotteen markkinoille saamisen nopeuttamiseksi ja mahdollisia strategisia vaihtoehtoja liiketoimintasuunnitelman päivittämiseksi.

Can course format influence the performance of students in an advanced cardiac life support (ACLS) program?

Advanced cardiac life support (ACLS) is a problem-based course that employs simulation techniques to teach the standard management techniques of cardiovascular emergencies. Its structure is periodically revised according to new versions of the American Heart Association guidelines. Since it was introduced in Brazil in 1996, the ACLS has been through two conceptual and structural changes. Detailed documented reports on the effect of these changes on student performance are limited. The objective of the present study was to evaluate the effect of conceptual and structural changes of the course on student ACLS performance at a Brazilian training center. This was a retrospective study of 3266 students divided into two groups according to the teaching model: Model 1 (N = 1181; 1999-2003) and Model 2 (N = 2085; 2003-2007). Model 2 increased practical skill activities to 75% of the total versus 60% in Model 1. Furthermore, the teaching material provided to the students before the course was more objective than that used for Model 1. Scores greater than 85% in the theoretical evaluation and approval in the evaluation of practice by the instructor were considered to be a positive outcome. Multiple logistic regression was used to adjust for potential confounders (specialty, residency, study time, opportunity to enhance practical skills during the course and location where the course was given). Compared to Model 1, Model 2 presented odds ratios (OR) indicating better performance in the theoretical (OR = 1.34; 95%CI = 1.10-1.64), practical (OR = 1.19; 95%CI = 0.90-1.57), and combined (OR = 1.38; 95%CI = 1.13-1.68) outcomes. Increasing the time devoted to practical skills did not improve the performance of ACLS students.

Variational Ensemble Kalman Filtering in Hydrology

The current thesis manuscript studies the suitability of a recent data assimilation method, the Variational Ensemble Kalman Filter (VEnKF), to real-life fluid dynamic problems in hydrology. VEnKF combines a variational formulation of the data assimilation problem based on minimizing an energy functional with an Ensemble Kalman filter approximation to the Hessian matrix that also serves as an approximation to the inverse of the error covariance matrix. One of the significant features of VEnKF is the very frequent re-sampling of the ensemble: resampling is done at every observation step. This unusual feature is further exacerbated by observation interpolation that is seen beneficial for numerical stability. In this case the ensemble is resampled every time step of the numerical model. VEnKF is implemented in several configurations to data from a real laboratory-scale dam break problem modelled with the shallow water equations. It is also tried in a two-layer Quasi- Geostrophic atmospheric flow problem. In both cases VEnKF proves to be an efficient and accurate data assimilation method that renders the analysis more realistic than the numerical model alone. It also proves to be robust against filter instability by its adaptive nature.

Korkeasti koulutettujen selviytyminen työn menetyksestä ja pitkittyneestä työttömyydestä

Tämän pro gradu -tutkielman tavoitteena oli ymmärtää ja kuvata korkeasti koulutettujen henkilöiden selviytymistä työn menetyksestä ja pitkittyneestä työttömyydestä. Tutkimuksessa tarkasteltiin pakotettua uramuutosta ja työttömyyttä sekä siitä selviytymistä yksilön kokemuksen näkökulmasta. Lisäksi tutkittiin työttömyyden tukipalveluiden hyödyllisyyttä. Tutkimus toteutettiin kvalitatiivisena kuvailevana tapaustutkimuksena. Tutkimuksen empiirinen aineisto kerättiin haastattelemalla 13 korkeasti koulutettua uusimaalaista työtöntä henkilöä. Haastattelut toteutettiin puolistrukturoitua teemahaastattelumenetelmää käyttäen. Tutkimuksen tulosten perusteella voidaan havaita, että työn menetyksellä koettiin olevan sekä negatiivisia että positiivisia vaikutuksia. Työn menetys koettiin osittain helpotuksena ja hengähdystaukona. Henkilöt selviytyivät itse työn menetyksen tilanteesta jokseenkin hyvin, etenkin jos muutokseen oli voinut varautua ja irtisanomisperusteet olivat selkeät. Korkeasti koulutetut henkilöt käyttivät monipuolisesti sekä tunne- että ongelmakeskeisiä selviytymisstrategioita selviytyäkseen työttömyydestä. Näistä aktiivinen työnhaku sekä opiskelu korostuivat selviytymiskeinoina. Työttömyyden pitkittyminen heikensi selvästi yksilön hyvinvointia ja vertaistuen merkitys korostui työttömyyden pitkittyessä. Tutkimuksesta ilmeni, että julkiset työvoimapalvelut eivät tue riittävästi korkeasti koulutettuja työttömiä. Tukipalveluja tulisi kehittää vastaamaan paremmin muuttuneiden työmarkkinoiden vaateita, sillä työmarkkinoiden muutokset haastavat urien uudenlaiseen tarkasteluun.

Ohjelmoinnin opetus peruskoulussa: toiminnallisuutta ja graafista ohjelmointikieltä hyödyntävien opetusmenetelmien vertailu

Ohjelmoinnin opettaminen yleissivistävänä oppiaineena on viime aikoina herättänyt kiinnostusta Suomessa ja muualla maailmassa. Esimerkiksi Suomen opetushallituksen määrittämien, vuonna 2016 käyttöön otettavien peruskoulun opintosuunnitelman perusteiden mukaan, ohjelmointitaitoja aletaan opettaa suomalaisissa peruskouluissa ensimmäiseltä luokalta alkaen. Ohjelmointia ei olla lisäämässä omaksi oppiaineekseen, vaan sen opetuksen on tarkoitus tapahtua muiden oppiaineiden, kuten matematiikan yhteydessä. Tämä tutkimus käsittelee yleissivistävää ohjelmoinnin opetusta yleisesti, käy läpi yleisimpiä haasteita ohjelmoinnin oppimisessa ja tarkastelee erilaisten opetusmenetelmien soveltuvuutta erityisesti nuorten oppilaiden opettamiseen. Tutkimusta varten toteutettiin verkkoympäristössä toimiva, noin 9–12-vuotiaille oppilaille suunnattu graafista ohjelmointikieltä ja visuaalisuutta tehokkaasti hyödyntävä oppimissovellus. Oppimissovelluksen avulla toteutettiin alakoulun neljänsien luokkien kanssa vertailututkimus, jossa graafisella ohjelmointikielellä tapahtuvan opetuksen toimivuutta vertailtiin toiseen opetusmenetelmään, jossa oppilaat tutustuivat ohjelmoinnin perusteisiin toiminnallisten leikkien avulla. Vertailututkimuksessa kahden neljännen luokan oppilaat suorittivat samankaltaisia, ohjelmoinnin peruskäsitteisiin liittyviä ohjelmointitehtäviä molemmilla opetus-menetelmillä. Tutkimuksen tavoitteena oli selvittää alakouluoppilaiden nykyistä ohjelmointiosaamista, sitä minkälaisen vastaanoton ohjelmoinnin opetus alakouluoppilailta saa, onko erilaisilla opetusmenetelmillä merkitystä opetuksen toteutuksen kannalta ja näkyykö eri opetusmenetelmillä opetettujen luokkien oppimistuloksissa eroja. Oppilaat suhtautuivat kumpaankin opetusmenetelmään myönteisesti, ja osoittivat kiinnostusta ohjelmoinnin opiskeluun. Sisällöllisesti oppitunneille oli varattu turhan paljon materiaalia, mutta esimerkiksi yhden keskeisimmän aiheen, eli toiston käsitteen oppimisessa aktiivisilla leikeillä harjoitellut luokka osoitti huomattavasti graafisella ohjelmointikielellä harjoitellutta luokkaa parempaa osaamista oppitunnin jälkeen. Ohjelmakoodin peräkkäisyyteen liittyvä osaaminen oli neljäsluokkalaisilla hyvin hallussa jo ennen ohjelmointiharjoituksia. Aiheeseen liittyvän taustatutkimuksen ja luokkien opettajien haastatteluiden perusteella havaittiin koulujen valmiuksien opetussuunnitelmauudistuksen mukaiseen ohjelmoinnin opettamiseen olevan vielä heikolla tasolla.

Référentiel de compétences infirmières : soins intensifs, traumatologie

Rapport de stage présenté à la Faculté des sciences infirmières en vue de l'obtention du grade de Maître ès sciences (M.Sc.) en sciences infirmières option formation en soins infirmiers

Single Frame Image Super Resolution Using Learned Directionlets

In this paper, a new directionally adaptive, learning based, single image super resolution method using multiple direction wavelet transform, called Directionlets is presented. This method uses directionlets to effectively capture directional features and to extract edge information along different directions of a set of available high resolution images .This information is used as the training set for super resolving a low resolution input image and the Directionlet coefficients at finer scales of its high-resolution image are learned locally from this training set and the inverse Directionlet transform recovers the super-resolved high resolution image. The simulation results showed that the proposed approach outperforms standard interpolation techniques like Cubic spline interpolation as well as standard Wavelet-based learning, both visually and in terms of the mean squared error (mse) values. This method gives good result with aliased images also.

Using Recurrent Networks for Dimensionality Reduction

This report explores how recurrent neural networks can be exploited for learning high-dimensional mappings. Since recurrent networks are as powerful as Turing machines, an interesting question is how recurrent networks can be used to simplify the problem of learning from examples. The main problem with learning high-dimensional functions is the curse of dimensionality which roughly states that the number of examples needed to learn a function increases exponentially with input dimension. This thesis proposes a way of avoiding this problem by using a recurrent network to decompose a high-dimensional function into many lower dimensional functions connected in a feedback loop.

Object Recognition with Pictorial Structures

This thesis presents a statistical framework for object recognition. The framework is motivated by the pictorial structure models introduced by Fischler and Elschlager nearly 30 years ago. The basic idea is to model an object by a collection of parts arranged in a deformable configuration. The appearance of each part is modeled separately, and the deformable configuration is represented by spring-like connections between pairs of parts. These models allow for qualitative descriptions of visual appearance, and are suitable for generic recognition problems. The problem of detecting an object in an image and the problem of learning an object model using training examples are naturally formulated under a statistical approach. We present efficient algorithms to solve these problems in our framework. We demonstrate our techniques by training models to represent faces and human bodies. The models are then used to locate the corresponding objects in novel images.