Sähkökoneiden kunnonvalvonta-antureiden kehitys vaativiin ympäristöolosuhteisiin

Diplomityössä kerrotaan sähkökoneiden on-line kunnonvalvontaan käytettävistä mittauksista ja analyyseistä sekä antureista, joilla näitä mittauksia voidaan suorittaa. Työssä pohditaan anturielektroniikan suunnittelua ja rakentamista vaativiin ympäristöolosuhteisiin, joita ovat muun muassa korkea lämpötila, kosteus, paine ja voimakkaat magneettikentät. Testataan analogisen lämpötila-anturin toimivuutta taajuusmuuttajakäytön läheisyydessä. Häiriöpiikkien suodattamista varten tehdään mediaanisuodatusohjelma. Lisäksi työssä suunnitellaan kunnonvalvontapilotit pumppuun sellutehtaalle sekä generaattorikäyttöön vesivoimalaan. Pilotit muodostuvat anturoinnista, anturitason tiedonsiirrosta ja mittaustiedon keruusta. Järjestelmää testataan lievästi sisäkehävaurioisella laakerilla. Työssä kerrotaan myös kunnonvalvontajärjestelmän pilotoinnista sellutehtaalle ja analysoidaan sieltä saatuja tuloksia.

Kannattavuusraportoinnin laadun arviointi data warehouse ratkaisussa Case: Paperiteollisuuden myynnin ja asiakaspalvelun tietojärjestelmä

Tutkielman tavoitteena oli selvittää, onko tutkielman tilaajan toteuttaman kannattavuusraportoinnin laatu käyttäjien mielestä riittävä. Kannattavuusraportointi on toteutettu data warehouse tekniikalla. Tutkielman tavoitteina oli myös määrittää, mitä ohjelmiston laatu tarkoittaa ja miten sitä voidaan arvioida. Tutkimuksessa käytettiin kvalitatiivista tutkimusmenetelmää. Laadun arviointiin käytetty aineisto kerättiin haastattelemalla seitsemäätoista kannattavuusraportoinnin aktiivikäyttäjää. Tutkielmassa ohjelmiston laatu tarkoittaa sen kykyä täyttää tai ylittää käyttäjiensä kohtuulliset toiveet ja odotukset. Laatua arvioitiin standardin ISO/IEC 9126 määrittelemällä kuudella laatuominaisuudella, jotka kuvaavat minimaalisella päällekkäisyydellä ohjelmiston laadun. Lisäksi arvioinnissa hyödynnettiin varsinaiseen standardiin kuulumatonta informatiivista liitettä, joka tarkentaa ISO/IEC 9126 standardissa esitettyjä laadun ominaispiirteitä. Tutkimuksen tuloksena voidaan todeta, että käyttäjien mukaan kannattavuusraportointi on tarpeeksi laadukas, sillä se pystyy tarjoamaan helppokäyttöisiä, oikeanmuotoisia raportteja riittävän hyvällä vasteajalla käyttäjien tarpeisiin. Tehokkaasta hyödyntämisestä voidaan päätellä data warehousen rakentamisen onnistuneen. Tutkimuksessa nousi esiin myös runsaasti kehittämis- ja parannusideoita, jotka toimivat yhtenä kehitystyön apuvälineenä tulevaisuudessa.

Labor market experience and well-being after firm closure. Survey evidence on displaced manufacturing workers in Switzerland

This study examines how plant closure affected individuals' careers and lives about two years after they lost their job. We analyze the displaced workers' reemployment prospects and study for reemployed workers the characteristics of their new jobs in terms of reemployment sectors, wages, and job quality. Additionally, we inquire how workers' sociability and subjective well-being were affected by job loss. Our analysis is based on our own survey conducted in Switzerland in 2011. The survey included the workforce of five manufacturing companies that had closed down two years earlier. We addressed the risk of biases typically prevailing with observational data by complementing it with register data from the public unemployment insurance. Moreover, we use a control group based on matched data from the Swiss Household Panel. We find that workers experience strongly diverging outcomes after plant closure: on the one hand, high proportions of the workers experience a smooth transition after plant closure. More than two-thirds of the workers returned to employment, more than half of them within less than six months. With respect to their social lives, we find that positive changes in relationships with their spouse, family and friends are more frequent than negative changes. On the other hand, for a small group of workers plant closure had a detrimental effect. Close to twenty percent remained unemployed. About ten percent of the workers were long-term unemployed and subsequently often were reemployed in jobs of lower quality. Unemployed workers and workers who dropped out of the labor force were particularly prone to find their subjective well-being decreasing. The most vulnerable subgroup in our study were workers over 55. This result stands in striking contrast to a large body of literature that considers labor market institutions to be primarily biased against young workers. Our findings show that older workers not only take longer to find a job but are also less likely to return to employment. Moreover, if they manage to find a job, they experience the severest cuts in wages and job quality of all cohorts. From a life-course perspective this result is remarkable since it shows that workers are not protected from hardship in their late careers. In light of the current demographic changes this finding may have important policy implications. -- Cette étude analyse l'impact des fermetures d'entreprises sur les travailleurs licenciés. Plus précisément, nous examinons les chances de réinsertion des travailleurs dans le marché du travail et - pour ceux qui l'ont fait avec succès - dans quels secteurs, pour quels salaires et avec quelle qualité d'emploi ils sont réengagés. Nous nous intéressons également aux répercussions engendrées par la perte de l'emploi sur la sociabilité et le bien-être subjectif des travailleurs concernés. Notre analyse se base sur les données d'une enquête que nous avons menée en 2011. Cette enquête cible le personnel de cinq entreprises industrielles suisses qui avaient fermé leurs portes deux ans auparavant. Pour dépasser les biais typiques liés aux données d'observation, nous utilisons en complément des données administratives issues de l'assurance chômage publique. De plus, nous utilisons un groupe de contrôle basé sur des données appariées provenant du Panel Suisse de Ménage. Nos analyses montrent des résultats fortement contrastés. D'un côté, la majeure partie des travailleurs ont vécu une transition professionnelle plutôt facile : plus des deux tiers des personnes ont retrouvé un travail et parmi elles plus de la moitié en moins de six mois. Par rapport aux relations sociales, tant avec leur partenaire, qu'avec les membres de leur famille et leurs amis, les changements expérimentés étaient plus fréquemment positifs que négatifs. De l'autre côté, cependant, pour une petite partie de travailleurs la fermeture de leur entreprise a eu des conséquences très négatives sur leur carrière et leur bien-être. Au moment de notre enquête, presque vingt pourcents des travailleurs étaient au chômage. Les personnes au chômage et celles qui avaient quitté le marché du travail ont été particulièrement affectées par une diminution de leur bien-être subjectif. Les plus vulnérables parmi les travailleurs licenciés étaient ceux qui étaient âgés de plus de 55 ans. Notre analyse montre que les travailleurs âgés ont beaucoup moins fréquemment retrouvé un travail. Pour les personnes de plus de 55 ans qui ont tout de même retrouvé un emploi, la réinsertion a durée plus longtemps, les pertes de salaire étaient plus conséquentes et la diminution de la qualité de l'emploi plus grande que pour les autres cohortes. Au vu des changements démographiques actuels, ce résultat interpellant peut avoir des implications politiques importantes.

Nonlinear prediction based on score function

The linear prediction coding of speech is based in the assumption that the generation model is autoregresive. In this paper we propose a structure to cope with the nonlinear effects presents in the generation of the speech signal. This structure will consist of two stages, the first one will be a classical linear prediction filter, and the second one will model the residual signal by means of two nonlinearities between a linear filter. The coefficients of this filter are computed by means of a gradient search on the score function. This is done in order to deal with the fact that the probability distribution of the residual signal still is not gaussian. This fact is taken into account when the coefficients are computed by a ML estimate. The algorithm based on the minimization of a high-order statistics criterion, uses on-line estimation of the residue statistics and is based on blind deconvolution of Wiener systems [1]. Improvements in the experimental results with speech signals emphasize on the interest of this approach.

Hire me: Computational inference of hirability in employment interviews based on nonverbal behavior

Understanding the basis on which recruiters form hirability impressions for a job applicant is a key issue in organizational psychology and can be addressed as a social computing problem. We approach the problem from a face-to-face, nonverbal perspective where behavioral feature extraction and inference are automated. This paper presents a computational framework for the automatic prediction of hirability. To this end, we collected an audio-visual dataset of real job interviews where candidates were applying for a marketing job. We automatically extracted audio and visual behavioral cues related to both the applicant and the interviewer. We then evaluated several regression methods for the prediction of hirability scores and showed the feasibility of conducting such a task, with ridge regression explaining 36.2% of the variance. Feature groups were analyzed, and two main groups of behavioral cues were predictive of hirability: applicant audio features and interviewer visual cues, showing the predictive validity of cues related not only to the applicant, but also to the interviewer. As a last step, we analyzed the predictive validity of psychometric questionnaires often used in the personnel selection process, and found that these questionnaires were unable to predict hirability, suggesting that hirability impressions were formed based on the interaction during the interview rather than on questionnaire data.

The regional distribution of unemployment. What do micro-data tell us?

Regional disparities in unemployment rates are large and persistent. The literature provides evidence of their magnitude and evolution, as well as evidence of the role of certain economic, demographic and environmental factors in explaining the gap between regions of low and high unemployment. Most of these studies, however, adopt an aggregate approach and so do not account for the individual characteristics of the unemployed and employed in each region. This paper, by drawing on micro-data from the Spanish wave of the Labour Force Survey, seeks to remedy this shortcoming by analysing regional differentials in unemployment rates. An appropriate decomposition of the regional gap in the average probability of being unemployed enables us to distinguish between the contribution of differences in the regional distribution of individual characteristics from that attributable to a different impact of these characteristics on the probability of unemployment. Our results suggest that the well-documented disparities in regional unemployment are not just the result of regional heterogeneity in the distribution of individual characteristics. Non-negligible differences in the probability of unemployment remain after controlling for this type of heterogeneity, as a result of differences across regions in the impact of the observed characteristics. Among the factors considered in our analysis, regional differences in the endowment and impact of an individual’s education are shown to play a major role.

The impact of an enhanced recovery pathway on nursing workload: A retrospective cohort study.

BACKGROUND & AIMS: The importance of nursing for surgical patients has been frequently underestimated. The success of enhanced recovery programs after surgery (ERAS) depends on preferably complete fulfilment of the protocol and nurses are an important part of it. Due to the additional nursing action required, such protocols are suspected to increase the nursing workload. The aim of the present study was to observe and measure objectively nursing workload before, during and after systematic implementation of a comprehensive enhanced recovery pathway in colorectal surgery. METHODS: The program ERAS was introduced systematically in our tertiary academic centre 2011, since then our experience is based on more than 1500 ERAS patients. Nursing workload was prospectively assessed for all patients on a routine basis by means of a standardized and validated point system (PRN). In a retrospective cohort study, we compared nursing workload based on prospective data before, during and after ERAS implementation and correlated nursing workload to the compliance with the ERAS protocol. RESULTS: The study cohort included 50 patients before ERAS implementation (2010) and 69 (2011) and 148 (2012) consecutive patients after implementation; the baseline characteristics of the 3 groups were similar. Mean PRN values were 61.2 ± 19.7 per day in 2010 and decreased to 52.3 ± 13.7 (P = 0.005) and 51.6 ± 18.6 (P < 0.002) in 2011 and 2012, respectively. Increasing compliance with the ERAS protocol was significantly correlated to decreasing nursing workload (ρ = -0.42; P < 0.001). CONCLUSIONS: Nursing workload is - against a common belief - decreased by systematic implementation of enhance recovery protocol. The higher the compliance with the pathway, the lower the burden for the nurses!

Ownership Effects on Unrelated Diversification: An Institutions' Perspective

Purpose To show that differences in the extent to which firms engage in unrelated diversification can be attributed to differences in ownership structure. Methodology/approach We draw on longitudinal data and use a panel analysis specification to test our hypotheses. Findings We find that unrelated diversification destroys value; pressure-sensitive Anglo-American owners in a firm’s equity reduce unrelated diversification, whereas pressure-resistant domestic owners increase unrelated diversification; the greater the firm’s free cash flow, the greater the negative effect of pressure-sensitive Anglo-American owners on unrelated diversification. Research limitations/implications We contribute to corporate governance and strategy research by bringing in owners’ institutional origin as a shaper of owner preferences in particular with regards to unrelated diversification. Future research may expand our investigation to more than one home institutional context, and theorize on institutional origin effects beyond the dichotomy between Anglo-American and non-Anglo-American (not oriented toward shareholder value maximization) owners. Practical implications Policy makers, financial analysts, owners, and managers may want to reflect about the implications of ownership structure, as well as promoting or joining corporations with particular ownership configurations. Social implications A shareholder value-destroying strategy, such as unrelated diversification has adverse consequences for society at large, in terms of opportunity costs, that is, resources could be allocated to value-creating activities instead. Promoting an ownership configuration that creates value should contribute to social welfare. Originality/value Owners may not be exclusively driven by shareholder value maximization, but can be influenced by normative beliefs (biases) stemming from the institutional context they originate from.

Reaction Kinetics and Viscosity Modelling in the Fusion Syntheses of Ca- and Ca/Mg-resinates

Rosin is a natural product from pine forests and it is used as a raw material in resinate syntheses. Resinates are polyvalent metal salts of rosin acids and especially Ca- and Ca/Mg- resinates find wide application in the printing ink industry. In this thesis, analytical methods were applied to increase general knowledge of resinate chemistry and the reaction kinetics was studied in order to model the non linear solution viscosity increase during resinate syntheses by the fusion method. Solution viscosity in toluene is an important quality factor for resinates to be used in printing inks. The concept of critical resinate concentration, c crit, was introduced to define an abrupt change in viscosity dependence on resinate concentration in the solution. The concept was then used to explain the non-inear solution viscosity increase during resinate syntheses. A semi empirical model with two estimated parameters was derived for the viscosity increase on the basis of apparent reaction kinetics. The model was used to control the viscosity and to predict the total reaction time of the resinate process. The kinetic data from the complex reaction media was obtained by acid value titration and by FTIR spectroscopic analyses using a conventional calibration method to measure the resinate concentration and the concentration of free rosin acids. A multivariate calibration method was successfully applied to make partial least square (PLS) models for monitoring acid value and solution viscosity in both mid-infrared (MIR) and near infrared (NIR) regions during the syntheses. The calibration models can be used for on line resinate process monitoring. In kinetic studies, two main reaction steps were observed during the syntheses. First a fast irreversible resination reaction occurs at 235 °C and then a slow thermal decarboxylation of rosin acids starts to take place at 265 °C. Rosin oil is formed during the decarboxylation reaction step causing significant mass loss as the rosin oil evaporates from the system while the viscosity increases to the target level. The mass balance of the syntheses was determined based on the resinate concentration increase during the decarboxylation reaction step. A mechanistic study of the decarboxylation reaction was based on the observation that resinate molecules are partly solvated by rosin acids during the syntheses. Different decarboxylation mechanisms were proposed for the free and solvating rosin acids. The deduced kinetic model supported the analytical data of the syntheses in a wide resinate concentration region, over a wide range of viscosity values and at different reaction temperatures. In addition, the application of the kinetic model to the modified resinate syntheses gave a good fit. A novel synthesis method with the addition of decarboxylated rosin (i.e. rosin oil) to the reaction mixture was introduced. The conversion of rosin acid to resinate was increased to the level necessary to obtain the target viscosity for the product at 235 °C. Due to a lower reaction temperature than in traditional fusion synthesis at 265 °C, thermal decarboxylation is avoided. As a consequence, the mass yield of the resinate syntheses can be increased from ca. 70% to almost 100% by recycling the added rosin oil.

Effects of artisanal fisheries on the scorpaenids (Scorpaena spp.) reproduction in the marine protected area of Cap de Creus (NW Mediterranean)

Rockfish species are considered important to the ecology of rocky-reef communities which constitute a key habitat in many coastal marine protected areas (MPAs). These species, which are commercially valuable for artisanal fisheries in the Mediterranean, display particular biological traits that could render them vulnerable to fishing. In this study we monitored the artisanal fisheries of scorpaenids (Scorpaena spp.) in the MPA of Cap de Creus (northwestern Mediterranean) in order to estimate the status of their populations, to link captures with the reproduction of these species, and to evaluate the potential impact that artisanal fishing may have on them. Data from onboard sampling with artisanal fishermen and from fisheries statistics (total landings) were used. Total landings and catch per unit of effort (CPUE) follow a clearly seasonal cycle, with a prominent peak during the summer months coinciding with their spawning season, which may be due to mating behavior prior to fertilization. Although maximum sizes are bigger inside the MPA than in non-protected areas situated close by, a significant percentage of individuals caught inside the MPA are below their size at sexual maturity. Although rockfish seem to be favored by the partial protection of the MPA, the allowed artisanal fisheries are probably impacting the reproduction of these species

Analysis of Satellite Data for Forest Segmentation

In this work we study the classification of forest types using mathematics based image analysis on satellite data. We are interested in improving classification of forest segments when a combination of information from two or more different satellites is used. The experimental part is based on real satellite data originating from Canada. This thesis gives summary of the mathematics basics of the image analysis and supervised learning , methods that are used in the classification algorithm. Three data sets and four feature sets were investigated in this thesis. The considered feature sets were 1) histograms (quantiles) 2) variance 3) skewness and 4) kurtosis. Good overall performances were achieved when a combination of ASTERBAND and RADARSAT2 data sets was used.

APPLICATION OF PARAFAC AND OPLS-DA ANALYSES ON HPLC FINGERPRINTS FOR THE CHARACTERIZATION OF Hibiscus sabdariffaCALYXES

The calyxes of Hibiscus sabdariffa are used in traditional medicine around the world. However, quality assurance protocols and chemical variability have not been previously analyzed. In the present study, chemical characterization of a set of samples of H. sabdariffa calyxes commercialized in Colombia was accomplished with the aim to explore the chemical variability among them. Chemometrics-based analyses on the data obtained from the HPLC-UV-DAD-derived profiles were then performed. Thus, the pre-processed single-wavelength data were subjected to principal component analysis (PCA). The PCA-derived results evidenced different groups which were well-correlated to the corresponding total phenolic and total anthocyanin contents. Multi-wavelength chromatographic (HPLC-UV-DAD surfaces) data were additionally examined via parallel factor analysis (PARAFAC) as data reduction method and the obtained loadings were subsequently submitted to PCA and orthogonal partial least squares discriminant analysis (OPLS-DA). Results were thus consistent with those from single-wavelength data. PCA loadings were employed to determine those chemical components responsible for the data variance and OPLS-DA model, constructed from PARAFAC loadings, and indicated differentiation according total anthocyanin contents among samples. The present chemometric analysis therefore demonstrated to be an excellent tool for differentiation of H. sabdariffacalyxes according to their chemical composition.

Liqum-järjestelmän optimointi eräällä paperikoneella

Tämän työn tarkoituksena oli jalkauttaa Liqum Oy:n kehittämä Chemistry Navi-gator (Chena) kunnossapidon ja tuotannon päivittäiseksi työkaluksi prosessin märän pään kemian seurantaan. Chena – analysaattorin mittausteknologia perustuu hapetus – pelkistysreaktioiden mittaamiseen. Analysaattori mittaa paperimassassa olevien ionien ja ionikombinaatioiden konsentraatioita ja aktiivisuuksia kuudella anturilla, joiden toiminta perustuu sähkökemiallisiin muutoksiin mitattavassa näytteessä. Diplomityön tarkoituksena oli erityisesti Chena – järjestelmän toimintakuntoon saattaminen sekä tutkia minkälaisia muutoksia märkäosan kemian tilassa analysaattorilla voidaan havaita. Työn kirjallisuusosassa esitellään yleisesti paperikoneen märkäosan kemiallisia ilmiöitä ja kemian tilan muuttujia. Lisäksi esitellään yleisimpiä prosessiin annosteltavia paperin laatuun sekä prosessin toimivuuteen vaikuttavia kemikaaleja. Kokeellisessa osassa optimoitiin järjestelmässä olevien ajoparametrien raja-arvoja vastaamaan nykypäivän ajo-olosuhteita sekä tutkittiin miten Chenan signaalit reagoivat eri massasuhteilla ja kemikaaliannoksilla. Kokeellisen osassa suoritettujen askelvastekokeiden tulosten perusteella havait-tiin, että peroksidi ja ditioniitti antoivat voimakkaimmat vasteet Chenan signaaleihin varsinkin suuremmilla pitoisuuksilla. Myös retentio- ja vaahdonestoaineen osalta oli havaittavissa selviä vasteita Chenan signaaleissa. Massasuhteiden osalta merkittävimmät vasteet Chenan signaaleihin PK4:n puolella aiheuttivat täysin hylytön massaseos sekä puolet kokonaistilavuudesta päällystämätöntä hylkyä sisältänyt massaseos. PK7:n puolella voimakkaimmat vasteet aiheutuivat alhaisen hylkypitoisuuden massoista. Chena avulla saadaan uutta

The influence of strategic entrepreneurship on firm performance

In the study the recently developed concept of strategic entrepreneurship was addressed with the aim to investigate the underlying factors and components constituting the concept and their influence on firm performance. As the result of analysis of existing literature and empirical studies the model of strategic entrepreneurship for the current study is developed with the emphasis on exploration and exploitation parts of the concept. The research model is tested on the data collected in the project ―Factors of growth and success of entrepreneurial firms in Russia‖ by Center for Entrepreneurship of GSOM in 2007 containing answers of owners and managers of 500 firms operating in St. Petersburg and Moscow. Multiple regression analysis showed that exploration and exploitation presented by entrepreneurial values, investments in internal resources, knowledge management and developmental changes are significant factors constituting strategic entrepreneurship and having positive relation to firm performance. The theoretical contribution of the work is linked to development and testing of the model of strategic entrepreneurship. The results can be implemented in management practices of companies willing to engage in strategic entrepreneurship and increase their firm performance.

Modeling and Analysis of Noise and Interconnects for On-Chip Communication Link Design

This thesis considers modeling and analysis of noise and interconnects in onchip communication. Besides transistor count and speed, the capabilities of a modern design are often limited by on-chip communication links. These links typically consist of multiple interconnects that run parallel to each other for long distances between functional or memory blocks. Due to the scaling of technology, the interconnects have considerable electrical parasitics that affect their performance, power dissipation and signal integrity. Furthermore, because of electromagnetic coupling, the interconnects in the link need to be considered as an interacting group instead of as isolated signal paths. There is a need for accurate and computationally effective models in the early stages of the chip design process to assess or optimize issues affecting these interconnects. For this purpose, a set of analytical models is developed for on-chip data links in this thesis. First, a model is proposed for modeling crosstalk and intersymbol interference. The model takes into account the effects of inductance, initial states and bit sequences. Intersymbol interference is shown to affect crosstalk voltage and propagation delay depending on bus throughput and the amount of inductance. Next, a model is proposed for the switching current of a coupled bus. The model is combined with an existing model to evaluate power supply noise. The model is then applied to reduce both functional crosstalk and power supply noise caused by a bus as a trade-off with time. The proposed reduction method is shown to be effective in reducing long-range crosstalk noise. The effects of process variation on encoded signaling are then modeled. In encoded signaling, the input signals to a bus are encoded using additional signaling circuitry. The proposed model includes variation in both the signaling circuitry and in the wires to calculate the total delay variation of a bus. The model is applied to study level-encoded dual-rail and 1-of-4 signaling. In addition to regular voltage-mode and encoded voltage-mode signaling, current-mode signaling is a promising technique for global communication. A model for energy dissipation in RLC current-mode signaling is proposed in the thesis. The energy is derived separately for the driver, wire and receiver termination.