50 resultados para Matching


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Työn tavoitteena oli selvittää, millaisia mahdollisuuksia ja esteitä hiljaisen tiedon siirtymiselle mentoroinnin avulla oli ”Yritykset opiskelijoiden kummeina” – projektissa. Tutkimuksessa kartoitettiin millaiset yrittäjän ja opiskelijan ominaispiirteet tukevat ja estävät hiljaisen tiedon siirtymistä. Lisäksi tutkittiin millaista tietoa mentorointiprosessissa siirtyy sekä kysyttiin opiskelijoiden mielipiteitä kummitoiminnan kehittämisestä tulevaisuudessa. Empiirisen tutkimuksen kohderyhmä oli projektiin osallistuvat Lappeenrannan teknillisen yliopiston opiskelijat. Tutkimus toteutettiin sähköpostikyselynä tammikuussa 2004. Tutkimuksen tuloksena oli, että 58 % vastaajista koki oppineensa hiljaista tietoa projektin avulla enemmän kuin kykenevät sanoin kertomaan. Projektin avulla työllistyi 16 % ja harjoitustöitä yrityksille opintoihinsa liittyen teki 14 % vastaajista. Tiedon siirtymisessä mentoroinnin avulla tärkeimmäksi tekijäksi nousivat opiskelijoiden kyky vastaanottaa tietoa sekä yrittäjän kärsivällisyys opettaa. Esteinä hiljaisen tiedon siirtymiselle koettiin olevan kiire ja aikataulujen yhteensovittaminen.

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In this diploma work advantages of coherent anti-Stokes Raman scattering spectrometry (CARS) and various methods of the quantitative analysis of substance structure with its help are considered. The basic methods and concepts of the adaptive analysis are adduced. On the basis of these methods the algorithm of automatic measurement of a scattering strip size of a target component in CARS spectrum is developed. The algorithm uses known full spectrum of target substance and compares it with a CARS spectrum. The form of a differential spectrum is used as a feedback to control the accuracy of matching. To exclude the influence of a background in CARS spectra the differential spectrum is analysed by means of its second derivative. The algorithm is checked up on the simulated simple spectra and on the spectra of organic compounds received experimentally.

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Työn tavoitteena on sisäisen palveluyksikön prosessikuvauksien kautta kehittää nykyistä toimintaa, laskea tuotettujen palveluiden yksikkökustannuksia ja arvioida palkitsemisen vaikutusta sisäisten tukipalveluiden tuottamisen tehostamiseen Nurmijärven kunnassa. Toimintolaskennalla saadaan aikaiseksi tuotetuille palveluille kustannukset ja tuotehinnoittelu. Tällä saadaan aikaan lähes aiheuttamisperiaatteen mukainen kustannusten kohdistaminen. Lisäksi työssä arvioidaan kustannusten kautta saavutettavaa toiminnan tehokkuutta. Työssä haastateltiin yksikön henkilökuntaa, minkä tuloksena saatiin toiminnasta prosessikuvaukset. Toimintolaskennassa tiedot kerättiin eri järjestelmistä ja yksikössä mitattiin työtehtävien hoitoon käytettyä aikaa. Kannusteiden vaikutuksista järjestettiin kolmen organisaation tietotekniikkayksiköiden henkilökunnalle kysely sekä yksikön esimiehet haastateltiin. Haastattelun avulla selvitettiin palkitsemisen nykytilannetta ja tulevaisuuden kehittämismahdollisuuksia. Tuloksena saatiin tukipalveluhinnasto, jolla toteutettiin sisäisten kustannusten kohdistaminen organisaatiossa. Tukipalveluprosessien kuvaamisen tuloksena saatiin toimenpide-ehdotuksia toteutukseen ja lisäkehittämishankkeita. Työntekijöiden kannustekyselyn tuloksena rahapalkitsemisen lisäksi nousi esiin esimiehen antaman palautteen arvostus sekä oman osaamisen kehittäminen.

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Työn tavoitteena on talotekniikkaelementtitehtaan tuotekustannusmallin kehittäminen. Yritys tarvitsee tuotekohtaista kustannustietoa erityisesti varaston arvon määrittämiseen ja kustannusperusteiseen hinnoitteluun. Tuotekustannusmallin kehittäminen edellyttää nykyisen tuotekustannusmallin sisältämien virheiden ja puutteiden korjaamista. Työssä käydään läpi kaikki tuotekustannusmalliin tehdyt muutokset tuotantovaihekohtaisesti. Uusi tuotekustannusmalli perustuu lähinnä lisäys- ja standardikustannuslaskentaan. Malli laskee tuote- ja tilauskohtaisen minimiomakustannusarvon. Uusi tuotekustannusmalli kohdistaa tuotteille aiheuttamisperiaatteen mukaisesti monia sellaisia kustannuksia, jotka aikaisemmin on jätetty kokonaan kohdistamatta. Eristettyjen ilmanvaihtokanavien sekä vesi- ja lämpöjohtojen kustannusten havaittiin olevan aiemmin luultua matalammat. Elementtien runkojen kustannukset puolestaan nousivat uudessa mallissa. Työn aikana laadittiin myös taulukkolaskentasovellus, jonka avulla voidaan laskea tilaukseen sisältyvien elementtien hankintameno ja kustannusperusteinen hinta.

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Tämän diplomityön tavoitteena on tutkia kohdeyrityksen strategista muutosta perinteisestä tuotetoimittajasta ratkaisujen toimittajaksi. Toimialan muutosta arvioidaan tarkemmin, jotta voidaan selvittää kuinka yrityksen tulisi mukauttaa resurssejaan ja kyvykkyyksiään sopeutuakseen muutoksen tuomiin uusiin haasteisiin. Tarkastelun alla on erityisesti yrityksen strateginen muutos ja kuinka löytää strategian kannalta ne dynaamiset kyvykkyydet joiden avulla yritys saa pysyvää kilpailuetua. Yritykset pyrkivät strategisessa suunnittelussaan pysyvään kilpailuetuun. Strategista johtamisen teorioita on esitetty useita ja niiden kautta on vaikea selittää nykyisin nopeasti muuttuvassa toimintaympäristössä toimivien yritysten menestystä. Dynaamisten kyvykkyyksistä on haettu selitystä menestyksen taakse. Yritysten tavoitellessa kokonaan uusia liiketoiminta-alueita niihin kohdistuu suuria muutoksia niin ulkoisesti kuin sisäisestikin. Tällöin on kriittistä tunnistaa ne ydinkyvykkyydet joiden avulla voidaan menestyä uusilla liiketoiminta-alueilla. Työn ensimmäisessä osassa esitetään strategiaan ja kyvykkyyksiin liittyviä teorioita. Teoriaosiossa tarkastellaan myös palveluyritykseksi muuntautumisen haasteita, jonka jälkeen esitellään kohdeyrityksen strategiset tavoitteet ja kuinka puuttuvia resursseja voidaan tunnistaa. Resurssipohjaisen lähestymistavan avulla päästiin hyvin käsiksi toimialan muutoksen aiheuttamiin puuttuviin resursseihin. Analyysin aikana tunnistettiin puutteita tavoitteisiin nähden ja tässä työssä nousi yhtenä keskeisimpänä esille ICT-osaaminen kohdeyrityksen siirtyessä laitevalmistajan roolista kohti ratkaisun toimittajaa. Tutkimuksen perusteella voidaan todeta, että resurssipohjaisen lähestymistavan avulla voidaan tunnistaa tämän tyyppisessä yrityksessä resurssipuutteita joita kehittämällä yritys voi saavuttaa pysyvää kilpailuetua.

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Advancements in power electronic semiconductor switching devices have lead to significantly faster switching times. In motor and generator applications, the fast switching times of pulse width modulated (PWM) inverters lead to overvoltages caused by voltage reflections with shorter and shorter cables. These excessive overvoltages may lead to a failure of the electrical machine in a matter of months. In this thesis, the causes behind the overvoltage phenomenon as well as its different mitigation techniques are studied. The most suitable techniques for mitigating the overvoltage phenomenon in wind power generator applications are chosen based on both simulations and actual measurements performed on a prototype. An RC filter at the terminals of the electrical machine and an inverter output filter designed to reduce the rise and fall times of voltage pulses are presented as a solution to the overvoltage problem. The performance and losses of both filter types are analysed.

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The research around performance measurement and management has focused mainly on the design, implementation and use of performance measurement systems. However, there is little evidence about the actual impacts of performance measurement on the different levels of business and operations of organisations, as well as the underlying factors that lead to a positive impact of performance measurement. The study thus focuses on this research gap, which can be considered both important and challenging to cover. The first objective of the study was to examine the impacts of performance measurement on different aspects of management, leadership and the quality of working life, after which the factors that facilitate and improve performance and performance measurement at the operative level of an organisation were examined. The second objective was to study how these factors operate in practice. The third objective focused on the construction of a framework for successful operative level performance measurement and the utilisation of the factors in the organisations. The research objectives have been studied through six research papers utilising empirical data from three separate studies, including two sets of interview data and one of quantitative data. The study applies mainly the hermeneutical research approach. As a contribution of the study, a framework for successful operative level performance measurement was formed by matching the findings of the current study and performance measurement theory. The study extents the prior research regarding the impacts of performance measurement and the factors that have a positive effect on operative level performance and performance measurement. The results indicate that under suitable circumstances, performance measurement has positive impacts on different aspects of management, leadership, and the quality of working life. The results reveal that for example the perception of the employees and the management of the impacts of performance measurement on leadership style differ considerably. Furthermore, the fragmented literature has been reorganised into six factors that facilitate and improve the performance of the operations and employees, and the use of performance measurement at the operative level of an organisation. Regarding the managerial implications of the study, managers who operate around performance measurement can utilise the framework for example by putting the different phases of the framework into practice.

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In a networked business environment the visibility requirements towards the supply operations and customer interface has become tighter. In order to meet those requirements the master data of case company is seen as an enabler. However the current state of master data and its quality are not seen good enough to meet those requirements. In this thesis the target of research was to develop a process for managing master data quality as a continuous process and find solutions to cleanse the current customer and supplier data to meet the quality requirements defined in that process. Based on the theory of Master Data Management and data cleansing, small amount of master data was analyzed and cleansed using one commercial data cleansing solution available on the market. This was conducted in cooperation with the vendor as a proof of concept. In the proof of concept the cleansing solution’s applicability to improve the quality of current master data was proved. Based on those findings and the theory of data management the recommendations and proposals for improving the quality of data were given. In the results was also discovered that the biggest reasons for poor data quality is the lack of data governance in the company, and the current master data solutions and its restrictions.

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Tässä työssä kehitettiin teollisuusrobottijärjestelmiin soveltuva, mallinsovitusta hyödyntävä konenäköohjelmisto. Yleiskäyttöiseksi tarkoitettuun ohjelmistoon tehtiin toiminnot konenäköjärjestelmän kalibrointiin, mallinsovitukseen käytettävien mallien hallintaan ja tulosten välitykseen teollisuusroboteille. Ohjelmiston tuli olla myös niin helppokäyttöinen, että sen käyttö onnistuu lyhyellä koulutuksella. Ohjelmistoa sovellettiin puuikkunapuitteiden robotisoituun maalausjärjestelmään. Maalausjärjestelmästä onnistuttiin tekemään automaattinen, tuotteisiin mukautuva ja virhetilanteista toipuva pitkälti toimitetun konenäköjärjestelmän ansiosta.

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The amount of installed wind power has been growing exponentially during the past ten years. As wind turbines have become a significant source of electrical energy, the interactions between the turbines and the electric power network need to be studied more thoroughly than before. Especially, the behavior of the turbines in fault situations is of prime importance; simply disconnecting all wind turbines from the network during a voltage drop is no longer acceptable, since this would contribute to a total network collapse. These requirements have been a contributor to the increased role of simulations in the study and design of the electric drive train of a wind turbine. When planning a wind power investment, the selection of the site and the turbine are crucial for the economic feasibility of the installation. Economic feasibility, on the other hand, is the factor that determines whether or not investment in wind power will continue, contributing to green electricity production and reduction of emissions. In the selection of the installation site and the turbine (siting and site matching), the properties of the electric drive train of the planned turbine have so far been generally not been taken into account. Additionally, although the loss minimization of some of the individual components of the drive train has been studied, the drive train as a whole has received less attention. Furthermore, as a wind turbine will typically operate at a power level lower than the nominal most of the time, efficiency analysis in the nominal operating point is not sufficient. This doctoral dissertation attempts to combine the two aforementioned areas of interest by studying the applicability of time domain simulations in the analysis of the economicfeasibility of a wind turbine. The utilization of a general-purpose time domain simulator, otherwise applied to the study of network interactions and control systems, in the economic analysis of the wind energy conversion system is studied. The main benefits of the simulation-based method over traditional methods based on analytic calculation of losses include the ability to reuse and recombine existing models, the ability to analyze interactions between the components and subsystems in the electric drive train (something which is impossible when considering different subsystems as independent blocks, as is commonly done in theanalytical calculation of efficiencies), the ability to analyze in a rather straightforward manner the effect of selections other than physical components, for example control algorithms, and the ability to verify assumptions of the effects of a particular design change on the efficiency of the whole system. Based on the work, it can be concluded that differences between two configurations can be seen in the economic performance with only minor modifications to the simulation models used in the network interaction and control method study. This eliminates the need ofdeveloping analytic expressions for losses and enables the study of the system as a whole instead of modeling it as series connection of independent blocks with no lossinterdependencies. Three example cases (site matching, component selection, control principle selection) are provided to illustrate the usage of the approach and analyze its performance.

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Tutkimuksen kohdeyritys on rakennusalan pk-yritys, jonka liiketoiminta perustuu kokonaan toimitusprojekteille. Tutkimuksen tavoitteena oli kehittää kohdeyrityksen käyttöön helppokäyttöinen projektilaskentamalli, jonka avulla voidaan ennalta tunnistaa kannattamattomat toimitusprojektit. Tutkimuksessa keskitytään projektien kustannusnäkökulmaan. Tutkimus koostuu teoreettisesta kirjallisuusselvityksestä ja empiirisestä tapaustutkimuksesta. Teoreettisen aineiston ja kohdeyrityksen tietojen perusteella rakennettiin laskentamalli, jonka toimintaa tarkasteltiin esimerkkiprojektien avulla. Työn tutkimusote on konstruktiivinen, osin myös toiminta-analyyttinen. Kehitetty laskentamalli kattaa toimitusprojektin koko elinkaaren. Tarjouslaskenta-vaiheessa sen avulla tehdään päätös projektin toteutuskelpoisuudesta. Toteutus- ja seurantavaiheessa taas sillä seurataan projektin toteutuvia lukuja. Kohdeyritys voi laskentamallin avulla tunnistaa kannattamattomia projekteja, sillä tarjoushinnat tarkistetaan täyskatteellisen kustannusarvion avulla ennen projektin toteutuspäätöstä. Määrälaskennan ja täyskatteellisen laskennan ansiosta aiheuttamisperiaatetta noudatetaan kattavammin kuin kohdeyrityksen aiemmassa käytännössä.

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Previous studies of the local involvement of multinational corporation (MNC) subsidiaries focus on host-country firms and local business partners such as suppliers and customers. The role of host-country universities in the same context of innovation networks is neglected. Furthermore, there are many organizational culture- and knowledge-related differences between universities and companies, and this is likely to pose additional challenges for successful collaboration. Early university-industry (U-I) studies have primarily been limited within a national boundary, being concerned with a single level of culture (i.e., at an organizational level) and one-way knowledge transfer from university to industry. Research on more dynamic knowledge interaction in multinational settings is lacking. This is particularly true in the business context of China. In today’s globalizing and rapidly changing organizations, addressing cultural differences and clashes is an everyday reality, and inter-cultural U-I collaboration is becoming a key asset for gaining global competitiveness. This study deals with Finnish MNC subsidiaries’ research collaboration with Chinese universities. It aims to explore the essence of such U-I collaboration and knowledge interaction, uncovering the deep functioning mechanisms of culture underlying effective collaborative knowledge creation and innovation. The study reviews critically different bodies of literature including knowledge management theories and studies, U-I collaboration and knowledge interaction, and cross-cultural research in terms of organizational knowledge generation and utilization. It adopts a case study strategy with qualitative research methods, and data is collected through in-depth interviews and participant observation. The study presents the following major findings: 1. In the light of a comprehensive analysis of U-I collaboration, an effective matching strategy is proposed, in the assumption that good alignment of knowledge interaction strategies and approaches with their corresponding knowledge type, capability development and research task may greatly enhance the effectiveness of cross-cultural U-I collaboration and knowledge interaction. 2. It is proposed that in the Chinese MNC context more dynamic types of knowledge interaction like knowledge co-creation should be of key concern particularly when dealing simultaneously with multi-disciplinary applied research of human factors and technologies. U-I knowledge interaction, otherwise, pays attention only to the study of one-way technology and knowledge transfer. 3. It is posited that the influence of culture on collaborative knowledge interaction can be studied in a valuable way when knowledge-related variables are simultaneously taken into account. A systematic analysis of the role of knowledge in cross-cultural knowledge interaction could best be approached from multi-aspects of knowledge including not only nature, characteristics and types of knowledge but also the process of knowledge (e.g., intensifications of knowledge interaction). 4. The study demonstrates the significant role of aspects of the host-country culture (e.g., Chinese guanxi) in U-I collaboration and knowledge interaction. This is evident, for instance, in issues related to interpersonal relationships and trust, true interest and the relatedness of the research, mutual commitment and learning, communication intensity and interaction, and awareness of cultural and knowledge-related differences between collaboration partners. Theoretical and practical implications of the findings are suggested and discussed.

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Local features are used in many computer vision tasks including visual object categorization, content-based image retrieval and object recognition to mention a few. Local features are points, blobs or regions in images that are extracted using a local feature detector. To make use of extracted local features the localized interest points are described using a local feature descriptor. A descriptor histogram vector is a compact representation of an image and can be used for searching and matching images in databases. In this thesis the performance of local feature detectors and descriptors is evaluated for object class detection task. Features are extracted from image samples belonging to several object classes. Matching features are then searched using random image pairs of a same class. The goal of this thesis is to find out what are the best detector and descriptor methods for such task in terms of detector repeatability and descriptor matching rate.

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The large and growing number of digital images is making manual image search laborious. Only a fraction of the images contain metadata that can be used to search for a particular type of image. Thus, the main research question of this thesis is whether it is possible to learn visual object categories directly from images. Computers process images as long lists of pixels that do not have a clear connection to high-level semantics which could be used in the image search. There are various methods introduced in the literature to extract low-level image features and also approaches to connect these low-level features with high-level semantics. One of these approaches is called Bag-of-Features which is studied in the thesis. In the Bag-of-Features approach, the images are described using a visual codebook. The codebook is built from the descriptions of the image patches using clustering. The images are described by matching descriptions of image patches with the visual codebook and computing the number of matches for each code. In this thesis, unsupervised visual object categorisation using the Bag-of-Features approach is studied. The goal is to find groups of similar images, e.g., images that contain an object from the same category. The standard Bag-of-Features approach is improved by using spatial information and visual saliency. It was found that the performance of the visual object categorisation can be improved by using spatial information of local features to verify the matches. However, this process is computationally heavy, and thus, the number of images must be limited in the spatial matching, for example, by using the Bag-of-Features method as in this study. Different approaches for saliency detection are studied and a new method based on the Hessian-Affine local feature detector is proposed. The new method achieves comparable results with current state-of-the-art. The visual object categorisation performance was improved by using foreground segmentation based on saliency information, especially when the background could be considered as clutter.

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The purpose of the Thesis was to evaluate the business environment of electrical vehicle charging equipment (EVSE) in USA, find the key issues of entering the US EVSE markets and to form a marketing plan for possible market entry. The external market research analyzed the environment, customers, competitors and demand of EVSEs. In the internal analysis the focus was on resources and capabilities, offering, performance, business relations and US related issues. The research about the business environment was done using already available information from market studies and seminars. In external analysis there were also two semi-structured interviews from market experts used. The internal analysis was done mostly by interviews, but also company’s internal data sources were used. The interviews were semi-constructed and included eight interviewees from each part of EVSE value chain. The research findings were analyzed using SWOT analysis, which was converted to a so called TOWS matrix for extracting strategies. As a result of the Thesis, valuable information about the US markets and their requirements for EVSEs was gained. By matching the strengths of the case company and market requirements, customer segmentation and targeting were done and a marketing plan was constructed for the case company to help their management to evaluate the feasibility of possible market entry and investments to USA.