C. difficile and S.aureus bacteraemia surveillance quarterly reports

Quarterly reports provide epidemiological data on�C. difficile and S. aureus�in Northern Ireland. The report highlights key points, rates, trends and statistical process control charts. The report also provides information on surveillance methods and data for each hospital and Health and Social Care Trust in Northern Ireland.Click here to see the latest reports

A limited area model intercomparison on the "Montserrat-2000" flash-flood event using statistical and deterministic methods

In the scope of the European project Hydroptimet, INTERREG IIIB-MEDOCC programme, limited area model (LAM) intercomparison of intense events that produced many damages to people and territory is performed. As the comparison is limited to single case studies, the work is not meant to provide a measure of the different models' skill, but to identify the key model factors useful to give a good forecast on such a kind of meteorological phenomena. This work focuses on the Spanish flash-flood event, also known as "Montserrat-2000" event. The study is performed using forecast data from seven operational LAMs, placed at partners' disposal via the Hydroptimet ftp site, and observed data from Catalonia rain gauge network. To improve the event analysis, satellite rainfall estimates have been also considered. For statistical evaluation of quantitative precipitation forecasts (QPFs), several non-parametric skill scores based on contingency tables have been used. Furthermore, for each model run it has been possible to identify Catalonia regions affected by misses and false alarms using contingency table elements. Moreover, the standard "eyeball" analysis of forecast and observed precipitation fields has been supported by the use of a state-of-the-art diagnostic method, the contiguous rain area (CRA) analysis. This method allows to quantify the spatial shift forecast error and to identify the error sources that affected each model forecasts. High-resolution modelling and domain size seem to have a key role for providing a skillful forecast. Further work is needed to support this statement, including verification using a wider observational data set.

Statistical modeling of bowing control applied to violin sound synthesis

Excitation-continuous music instrument control patterns are often not explicitly represented in current sound synthesis techniques when applied to automatic performance. Both physical model-based and sample-based synthesis paradigmswould benefit from a flexible and accurate instrument control model, enabling the improvement of naturalness and realism. Wepresent a framework for modeling bowing control parameters inviolin performance. Nearly non-intrusive sensing techniques allow for accurate acquisition of relevant timbre-related bowing control parameter signals.We model the temporal contour of bow velocity, bow pressing force, and bow-bridge distance as sequences of short Bézier cubic curve segments. Considering different articulations, dynamics, and performance contexts, a number of note classes are defined. Contours of bowing parameters in a performance database are analyzed at note-level by following a predefined grammar that dictates characteristics of curve segment sequences for each of the classes in consideration. As a result, contour analysis of bowing parameters of each note yields an optimal representation vector that is sufficient for reconstructing original contours with significant fidelity. From the resulting representation vectors, we construct a statistical model based on Gaussian mixtures suitable for both the analysis and synthesis of bowing parameter contours. By using the estimated models, synthetic contours can be generated through a bow planning algorithm able to reproduce possible constraints caused by the finite length of the bow. Rendered contours are successfully used in two preliminary synthesis frameworks: digital waveguide-based bowed stringphysical modeling and sample-based spectral-domain synthesis.

Embankment Quality and Assessment of Moisture Control Implementation, TR-677, 2016

A specification for contractor moisture quality control (QC) in roadway embankment construction has been in use for approximately 10 years in Iowa on about 190 projects. The use of this QC specification and the development of the soils certification program for the Iowa Department of Transportation (DOT) originated from Iowa Highway Research Board (IHRB) embankment quality research projects. Since this research, the Iowa DOT has applied compaction with moisture control on most embankment work under pavements. This study set out to independently evaluate the actual quality of compaction using the current specifications. Results show that Proctor tests conducted by Iowa State University (ISU) using representative material obtained from each test section where field testing was conducted had optimum moisture contents and maximum dry densities that are different from what was selected by the Iowa DOT for QC/quality assurance (QA) testing. Comparisons between the measured and selected values showed a standard error of 2.9 lb/ft3 for maximum dry density and 2.1% for optimum moisture content. The difference in optimum moisture content was as high as 4% and the difference in maximum dry density was as high as 6.5 lb/ft3 . The difference at most test locations, however, were within the allowable variation suggested in AASHTO T 99 for test results between different laboratories. The ISU testing results showed higher rates of data outside of the target limits specified based on the available contractor QC data for cohesive materials. Also, during construction observations, wet fill materials were often observed. Several test points indicated that materials were placed and accepted at wet of the target moisture contents. The statistical analysis results indicate that the results obtained from this study showed improvements over results from previous embankment quality research projects (TR-401 Phases I through III and TR-492) in terms of the percentage of data that fell within the specification limits. Although there was evidence of improvement, QC/QA results are not consistently meeting the target limits/values. Recommendations are provided in this report for Iowa DOT consideration with three proposed options for improvements to the current specifications. Option 1 provides enhancements to current specifications in terms of material-dependent control limits, training, sampling, and process control. Option 2 addresses development of alternative specifications that incorporate dynamic cone penetrometer or light weight deflectometer testing into QC/QA. Option 3 addresses incorporating calibrated intelligent compaction measurements into QC/QA.

Tukki- ja parruoptimoinnintoimivuuden kehittäminen

Diplomityön tutkimusfunktio käsittelee toimeksiantajan, Stora Enso Timber Oy Ltd Kotkan sahan, sahalinjan optimointikokonaisuuden relevanttia ongelmakenttää. Tutkimuksen alussa profiloivan sahalinjan tukinpyörityksen, pelkan sivuttaissiirron tai sivulautaoptimoinnin toimivuudesta ei ollut varmuutta. Työn painopistealue on sivulautaoptimointi, jonka toimivuus tutkimuksen alussa on hyvin kyseenalaista tuotantoajossa. Työn tavoitteet kiteytyvät paremman raaka-aineen käyttösuhteen saavuttamiselle, jolloin pitkän aikajänteen kannattavuus on realistisempaa saavuttaa. Kotkan sahalinjan optimointijärjestelmässä on kokonaisuudessaan saavutettu tuotantoajoon hyväksyttävä taso. Tukinpyörityksen tarkkuudessa saavutettiin asetettu tavoite, eli 90 % pyöritystuloksista menee virheikkunaan ± 10° , sekä virheen keskiarvon itseisarvo jasen ympärillä olevan hajonnan summa on maksimissaan 10° . Pelkan sivuttaissiirto todettiin tutkimuksessa sekundääriseksi optimointijärjestelmäksi. Ohjaus perustuu tukkimittarin mittaamaan dataan, jolloin tukinpyörityksen hajonta aiheuttaa epätarkkuutta pelkan suuntauksessa. Pelkan sivuttaisiirron käyttäminen vaatii lisämittauksia, jolloin voidaan varmistua pelkan suuntauksen optimoinnin toimivuudesta. Sivulautaoptimoinnin toimivuuden kehittämisessä saavutettiin se taso, missä todellista kehitystyötä voidaan tehdä. Koeajoissa ja optimointiohjelman tarkastamisessa havaittiin periaatteellisia virheitä, jotka korjattiin. Toimivan sivulautaoptimoinnin myötä on mahdollista hallita paremmin tuotannonohjaus, jolloin tuotanto voidaan etenkin sivulautojen osalta kohdentaa paremmin vastaamaan kysyntää sekä asete-erän hyvää käyttösuhdetta. Raaka-aineen käyttösuhde on parantunut. Yksittäisten asetevertailujen sekä esimerkkilaskelmien perusteella tuottopotentiaali tukinpyörityksen ja sivulautaoptimoinnin osalta on 0,6...1,5 MEUR Välillinen tuottopotentiaali on suurempi, koska tuotantoprosessi sahauksen osalta on erittäin joustava markkinoiden tarpeen muutoksille. Sahalinjalla on mahdollista tuottaa helposti laajalla tukkisumalla laajaa tuotematriisia, jossa sivulautaoptimoinnilla on avainrooli. Tuotannonsuunnittelufunktiota tulee kehittää vastaamaan mahdollisuuksiin,joita sivulautaoptimointi tarjoaa. Tuotematriisi ja sitä vastaavat asetteet lankeavalla tukkisumalla tulee rakentaa uudestaan niiltä osin, joihin sivulautaoptimointi antaa variaatiomahdollisuuksia.

Welding time models for cost calculations in the early stages of the design process

It is generally accepted that between 70 and 80% of manufacturing costs can be attributed to design. Nevertheless, it is difficult for the designer to estimate manufacturing costs accurately, especially when alternative constructions are compared at the conceptual design phase, because of the lack of cost information and appropriate tools. In general, previous reports concerning optimisation of a welded structure have used the mass of the product as the basis for the cost comparison. However, it can easily be shown using a simple example that the use of product mass as the sole manufacturing cost estimator is unsatisfactory. This study describes a method of formulating welding time models for cost calculation, and presents the results of the models for particular sections, based on typical costs in Finland. This was achieved by collecting information concerning welded products from different companies. The data included 71 different welded assemblies taken from the mechanical engineering and construction industries. The welded assemblies contained in total 1 589 welded parts, 4 257 separate welds, and a total welded length of 3 188 metres. The data were modelled for statistical calculations, and models of welding time were derived by using linear regression analysis. Themodels were tested by using appropriate statistical methods, and were found to be accurate. General welding time models have been developed, valid for welding in Finland, as well as specific, more accurate models for particular companies. The models are presented in such a form that they can be used easily by a designer, enabling the cost calculation to be automated.

Soft Computing Methods in Metallurgy

In metallurgic plants a high quality metal production is always required. Nowadays soft computing applications are more often used for automation of manufacturing process and quality control instead of mechanical techniques. In this thesis an overview of soft computing methods presents. As an example of soft computing application, an effective model of fuzzy expert system for the automotive quality control of steel degassing process was developed. The purpose of this work is to describe the fuzzy relations as quality hypersurfaces by varying number of linguistic variables and fuzzy sets.

Tilastollisen laadunhallintatoiminnan kehittäminen selluteollisuudessa

Työn päätavoitteena oli kehittää Oy Metsä-Botnia Ab:n Rauman tehtaan tilastollista laadunhallintatoimintaa ratkaisemalla toimintatapoihin ja DNA SPC -sovelluksen syy-seurauskaavion sisältöön liittyvät ongelmat. Ensimmäinen osatavoite oli erityissyiden tilaston keräysmenetelmänä ja ongelmanratkaisun apuvälineenä käytetyn syy-seurauskaavion sisällön kehittäminen ja sen päivityksen toimintamallien luominen. Toisena osatavoitteena oli aluevastaavien SPC-viikkoraportoinnin kehittäminen ja kolmantena SPC-toiminnan aikaansaaman tehtaan suorituskykymuutoksen määrittäminen. Työn kirjallisuusosassa esiteltiin prosessien kehittämiselle tärkeät työkalut sekä tilastollisen ajattelun ja SPC:n perusperiaatteet. Kirjallisuusosassa tarkasteltiin myös SPC:n käyttöä hankaloittavia selluteollisuuden erityispiirteitä. Työssä kehitettiin syy-seurauskaaviota entistä helppokäyttöisemmäksi vaihtamalla yleisten pääluokkien tilalle ohjauskortteja vastaavat pääluokat. Syy-seurauskaavion päivitykselle ja SPC-viikkoraportoinnille luotiin tehokkaat toimintamallit. SPC-viikkoraportoinnin toimintamallin pitäisi muun muassa parantaa tiedonkulkua tehtaalla. Työssä tehtyjen tilastollisten testien mukaan Rauman tehtaan suorituskyky oli useiden mittareiden osalta parantunut SPC-toiminnan myötä. Muutaman mittarin osalta Rauman tehtaan suorituskyky oli heikentynyt SPC-toiminnan aloittamisen jälkeen.

Combining Advanced Forecasting Methods with System Dynamics - the Case of Finnish Seaports

Seaports play an important part in the wellbeing of a nation. Many nations are highly dependent on foreign trade and most trade is done using sea vessels. This study is part of a larger research project, where a simulation model is required in order to create further analyses on Finnish macro logistical networks. The objective of this study is to create a system dynamic simulation model, which gives an accurate forecast for the development of demand of Finnish seaports up to 2030. The emphasis on this study is to show how it is possible to create a detailed harbor demand System Dynamic model with the help of statistical methods. The used forecasting methods were ARIMA (autoregressive integrated moving average) and regression models. The created simulation model gives a forecast with confidence intervals and allows studying different scenarios. The building process was found to be a useful one and the built model can be expanded to be more detailed. Required capacity for other parts of the Finnish logistical system could easily be included in the model.

Advanced chemometric methods: Applicability on industrial data

Recent years have produced great advances in the instrumentation technology. The amount of available data has been increasing due to the simplicity, speed and accuracy of current spectroscopic instruments. Most of these data are, however, meaningless without a proper analysis. This has been one of the reasons for the overgrowing success of multivariate handling of such data. Industrial data is commonly not designed data; in other words, there is no exact experimental design, but rather the data have been collected as a routine procedure during an industrial process. This makes certain demands on the multivariate modeling, as the selection of samples and variables can have an enormous effect. Common approaches in the modeling of industrial data are PCA (principal component analysis) and PLS (projection to latent structures or partial least squares) but there are also other methods that should be considered. The more advanced methods include multi block modeling and nonlinear modeling. In this thesis it is shown that the results of data analysis vary according to the modeling approach used, thus making the selection of the modeling approach dependent on the purpose of the model. If the model is intended to provide accurate predictions, the approach should be different than in the case where the purpose of modeling is mostly to obtain information about the variables and the process. For industrial applicability it is essential that the methods are robust and sufficiently simple to apply. In this way the methods and the results can be compared and an approach selected that is suitable for the intended purpose. Differences in data analysis methods are compared with data from different fields of industry in this thesis. In the first two papers, the multi block method is considered for data originating from the oil and fertilizer industries. The results are compared to those from PLS and priority PLS. The third paper considers applicability of multivariate models to process control for a reactive crystallization process. In the fourth paper, nonlinear modeling is examined with a data set from the oil industry. The response has a nonlinear relation to the descriptor matrix, and the results are compared between linear modeling, polynomial PLS and nonlinear modeling using nonlinear score vectors.

Cognitively Empowering Internet-Based Patient Education for Ambulatory Orthopaedic Surgery Patients

Tiedollista voimavaraistumista tukeva internet-perustainen ohjaus päiväkirurgisille ortopedisille potilaille Tutkimuksen tarkoituksena oli kehittää tiedollista voimavaraistumista tukeva Internetperustainen potilasohjausohjelma sekä arvioida sitä. Tutkimusprosessi jaettiin kahteen vaiheeseen. Ensimmäisessä vaiheessa luotiin sisältö tiedollista voimavaraistumista tukevalle Internet-perustaiselle ohjaukselle päiväkirurgisia ortopedisia potilaita varten. Toisessa vaiheessa arvioitiin Internet-perustaisen ohjauksen (koeryhmä) hyväksyttävyyttä käyttäjien arvioimana ja ohjauksen tuloksia sekä verrattiin Internet-perustaisen ohjauksen (koeryhmä) tuloksia tiedollisesti voimavaraistumista tukevan sairaanhoitajan välittämään ohjauksen (kontrolliryhmä) tuloksiin. Tutkimuksen tavoitteena oli luoda uusi potilasohjausmuoto joka tarjoaa yksilöllisen, osallistavan ja aikaan ja paikkaan sitomattoman ohjauksen päiväkirurgiseen ortopediseen leikkaukseen tulevalle potilaalle. Tutkimuksen ensimmäisessä vaiheessa käytettiin kuvailevaa ja vertailevaa tutkimusmenetelmää (ennen ja jälkeen testaus). Tutkimukseen osallistui 120 päiväkirurgista ortopedista potilasta joiden tiedon odotuksia ja heille välitettyä tietoa tarkasteltiin. Tutkimuksen ensimmäisen vaiheen tuloksien ja aikaisemman voimavaraistumista käsittävän tiedon perusteella luotiin sisältö tiedollista voimavaraistumista tukevalle Internet-perustaiselle ohjaukselle. Sisältö rakentui voimavaraistavan tiedon kuudesta eri osa-alueesta. Tutkimuksen toisessa vaiheessa käytettiin randomoitua kokeellista tutkimusasetelmaa. Päiväkirurgiseen ortopediseen leikkaukseen tulevat potilaat randomoitiin koeryhmään (n=72) Internetperustaiseen ohjaukseen ja kontrolliryhmään (n=75) sairaanhoitajan välittämään ohjaukseen. Aineisto kerättiin strukturoitujen mittareiden avulla ja tulokset analysoitiin tilastollisesti. Tutkimuksen tulokset osoittavat, että kehitettyä tiedollisesti voimavaraistumista tukevaa Internet-perustaista potilasohjausmenetelmää voidaan suositella käytettäväksi ortopedisten päiväkirurgisten potilaiden ohjauksessa ja potilailla on hyvät mahdollisuudet voimavaraistua tiedollisesti sen avulla. Monipuolista tietoa sisältävä Internet-perustainen ohjaus osoittautui käyttäjien näkökulmasta hyväksyttäväksi. Vaikka Internet ohjauksen hyväksyttävyys koettiin osittain heikommaksi kuin sairaanhoitajan välittämän ohjauksen, potilaat käyttivät nettisivustoa ongelmitta ja arvioivat sen helppokäyttöiseksi. Ohjausmuodolla ei ollut vaikutusta hoidosta aiheutuneisiin kustannuksiin. Sen sijaan kustannuksista organisaatiolle voitiin puolittaa sairaanhoitajan ohjaukseen käyttämä aika Internet-perustaisen ohjauksen avulla. Internet-perustaiseen ohjaukseen osallistuneiden potilaiden tiedon taso ja kokemus tiedon riittävyydestä lisääntyivät ohjauksen jälkeen enemmän kuin sairaanhoitajan välittämään potilasohjaukseen osallistuneiden potilaiden tiedot. Ohjausmuodolla ei ollut vaikutusta potilaiden kokemien tunteiden ja oireiden voimakkuuteen. Yhteenvetona voidaan todeta, että tiedollisesti voimavaraistava Internet-perustaista ohjausta voidaan suositella vaihtoehtoiseksi menetelmäksi sairaanhoitajan välittämälle ohjaukselle päiväkirurgiseen ortopediseen leikkaukseen tuleville potilaille.

Influence of the sample area in the variability of losses in the mechanical harvesting of soybeans

The mechanical harvesting is an important stage in the production process of soybeans and, in this process; the loss of a significant number of grains is common. Despite the existence of mechanisms to monitor these losses, it is still essential to use sampling methods to quantify them. Assuming that the size of the sample area affects the reliability and variability between samples in quantifying losses, this paper aimed to analyze the variability and feasibility of using different sizes of sample area (1, 2 and 3 m²) in quantifying losses in the mechanical harvesting of soybeans. Were sampled 36 sites and the cutting losses, losses by other mechanisms of the combine and total losses were evaluated, as well as the water content in seeds, straw distribution and crop productivity. Data were subjected to statistical analysis (descriptive statistics and analysis of variance) and Statistical Control Process (SCP). The coefficients of variation were similar for the three frames available. Combine losses showed stable behavior, whereas cutting losses and total losses showed unstable behavior. The frame size did not affect the quantification and variability of losses in the mechanical harvesting of soybeans, thus a frame of 1 m² can be used for determining losses.

Monitoring of mechanical sugarcane harvesting through control charts

ABSTRACT Statistical process control in mechanized farming is a new way to assess operation quality. In this sense, we aimed to compare three statistical process control tools applied to losses in sugarcane mechanical harvesting to determine the best control chart template for this quality indicator. Losses were daily monitored in farms located within Triângulo Mineiro region, in Minas Gerais state, Brazil. They were carried over a period of 70 days in the 2014 harvest. At the end of the evaluation period, 194 samples were collected in total for each type of loss. The control charts used were individual values chart, moving average and exponentially weighted moving average. The quality indicators assessed during sugarcane harvest were the following loss types: full grinding wheel, stumps, fixed piece, whole cane, chips, loose piece and total losses. The control chart of individual values is the best option for monitoring losses in sugarcane mechanical harvesting, as it is of easier result interpretation, in comparison to the others.

Determination of collector chemicals from flotation process waters using capillary electrophoresis

Vaahdotusprosessia käytetään yleisesti erottamaan arvokkaita mineraaleja malmeista. Toimiakseen tehokkaasti prosessi tarvitsee kokoojakemikaaleja, joiden tehtävänä on sitoa halutut mineraalit ilmakupliin. Jotta näiden kemikaalien käyttäytymistä prosessissa voitaisiin ymmärtää paremmin ja prosessin ohjausta tehostaa, pitää kokoojia pystyä analysoimaan prosessivesistä. Työn kirjallisuusosassa on koottu ja vertailtu erilaisia kirjallisuudesta löytyneitä analyysimenetelmiä kokoojakemikaaleille. Kokeellisessaosassa on kehitetty kaksi kapillaarielektroforeesimenetelmää näiden kemikaalien tutkimiseen. Menetelmien toteamisrajat tutkituille kemikaaleille olivat seuraavanlaiset: natrium diiosobutylditiofosfaattille (DTP) 2,7 mg/L puhtaassa vedessä ja 6,7 mg/L prosessivedessä; natrium diisobutyldithiofosfinaatille (DTPI) vastaavasti 4,5 mg/L ja 6,7 mg/L; etyyli ksantaatille 0,025 mg/L ja 0,16 mg/L; ja isobutyyli ksantaatille 0,41 mg/L ja 0,62 mg/L. Näitä menetelmiä voidaan tulevaisuudessa kehittää kokoojien hajoamistuotteiden analysointia varten sekä prosessien on-line mittauksiin.

Managing Customer Issues through a Support Channel Network

The importance of after-sales service or service in general can be seen and experienced by customers every day with industrial as well as other non-industrial services or products. This dissertation, drawing on theory and experience, focuses on practical engineering implications, specifically the management of customer issues in the after-sales phase in the mobile phone arena. The main objective of this doctoral dissertation is to investigate customer after-sales issue management, specifically regarding mobile phones. The case studies focus on issue resolution time and the issue of corrective actions. This dissertation consists of a main body and four peer-reviewed journal articles and one manuscript currently under review by a peer-reviewed journal. The main body of this dissertation examines the elements of customer satisfaction, loyalty, and retention with respect to corrective actions to address customer issues and issue resolution time through literature and empirical studies. The five independent works are case studies supporting the thesis research questions. This study examines four questions: 1) What are the factors affecting corrective actions for customers? 2) How can customer issue resolution time be controlled? 3) What are the factors affecting processes in the service chain? and 4) How can communication be measured in a service chain? In this work, both quantitative and qualitative analysis methods are used. The main body of the thesis reviews the literature regarding the elements that bridge the five case studies. The case studies of the articles and surveys lean more toward the methodology of critical positivism and then apply the interpretive approach in interpreting the results. The case study articles employ various statistical methods to analyze and to interpret the empirical and survey data. The statistical methods were used to create a model that is useful for significantly optimizing issue resolution time. Moreover, it was found that samples for verifying issues provided by the customer neither improve the perceived quality of corrective actions nor the perceived quality of issue resolution time. The term “service” in this work is limited to the technical services that are provided by product manufacturers and after-sales authorized service vendors. On the basis of this research work, it has been observed that corrective actions and issue resolution time are associated with customer satisfaction and hence, according to induction theory, to customer loyalty and retention. This thesis utilizes knowledge of marketing and customer relationships to contribute to the existing body of knowledge concerning information and communication technology for after-sales service recovery of mobile terminals. The established models in the thesis contribute to the existing knowledge of the after-sales process of dealing with customer issues in the field of mobile phones. The findings suggest that process managers could focus more on communication and training provided to the staff as new technology evolves rapidly. The study also suggest the managers formulate strategies for how customers can be kept informed on a regular basis of the status of issues that have been escalated for corrective action. The findings also lay the foundation for the comprehensive objective to control the entire product development process, starting with conceptualization. This implies that robust design should be applied to the new products so that problems affecting customer service quality are not repeated. The objective will be achieved when the entire service chain from product development to the final user can be modeled and this model can be used to support the organization at all levels.