118 resultados para Inventory-style speech enhancement


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The overall aim of this study was to investigate and examine teacher educators’ conceptions and experiences of quality of teacher education. The research interest therefore was two-fold: a) to deepen understanding of the concept quality and b) scrutinize experiences of teacher educators of quality enhancement. To achieve this ambition the study was conducted in the context of a newly established university college-based teacher education in Tanzania. Two research questions guided the study. The first focused on investigating how teacher educators conceived quality in the domain of teacher education and the second intended to explore teacher educators’ experiences of quality enhancement. The theoretical framework of the study centered on the concepts of teacher education, quality, and criteria for quality enhancement. Phenomenographic and phenomenological approaches under the main umbrella of qualitative research design were selected. Twenty five teacher educators participated in the study. Interviews were used for the collection of the data. The results of the first research question, in brief, indicate that teacher educators’ conceptions of quality are expressed in two main categories, namely, outstanding academic scholarship and adequate professional scholarship. Quality as outstanding academic scholarship was illustrated by two subcategories: excellence and positive transformation. While the former was composed of two aspects, the latter was demonstrated by three aspects. Quality as adequate professional scholarship was described in three sub-categories. The first was improved teaching competency, consisting of two aspects. The second was conscious research orientation, which is displayed by three aspects, and the last was enhancing the ability to reflect, represented by two aspects. The results of the second research question, which focused on exploring teacher educators’ experience of quality enhancement, were classified into two main categories of description: insufficient programs of teacher education and unsatisfactory professional development of teacher educators. From the two categories, the strengths, weaknesses, opportunities and challenges related to programs of educating teachers, particularly curriculum development and implementation, and the professional development of educators, were exposed. Since the ambition of conducting the study was to deepen the understanding by producing insight that would act as a platform for appraising and enhancing the quality of teacher education, the results hopefully can be used for the development of the quality of teacher education in Tanzania.

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This thesis researches automatic traffic sign inventory and condition analysis using machine vision and pattern recognition methods. Automatic traffic sign inventory and condition analysis can be used to more efficient road maintenance, improving the maintenance processes, and to enable intelligent driving systems. Automatic traffic sign detection and classification has been researched before from the viewpoint of self-driving vehicles, driver assistance systems, and the use of signs in mapping services. Machine vision based inventory of traffic signs consists of detection, classification, localization, and condition analysis of traffic signs. The produced machine vision system performance is estimated with three datasets, from which two of have been been collected for this thesis. Based on the experiments almost all traffic signs can be detected, classified, and located and their condition analysed. In future, the inventory system performance has to be verified in challenging conditions and the system has to be pilot tested.

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Tutkimuksen tavoitteena oli selvittää automaattisten tilausjärjestelmien onnistuneen käyttöönottoon taustalla vaikuttavia tekijöitä vähittäiskaupan toimialalla ja etsiä ratkaisua kyseisten järjestelmien onnistuneeseen käyttöönottoon tässä ympäristössä. Tutkimus analysoi yli sadan kaupan järjestelmän käyttöönottoa ja käyttöönoton tuloksia. Tutkimusta varten haastateltiin niin yhtiön sisältä kuin ulkopuoleltakin mukana olleita hankintajärjestelmän ja jalkautuksen asiantuntijoita. Tämän lisäksi järjestelmän käyttöönottaneisiin kauppoihin lähetettiin kyselyt, joita analysoitiin ryhmissä automaattisen tilausjärjestelmän tietojen pohjalta. Työn tuloksena pystyttiin tunnistamaan tietty joukko taustatekijöitä, jotka tulee ottaa käyttöönotossa huomioon sekä saatuihin tutkimustuloksiin perustuen kehitettiin malli vastaavanlaisten järjestelmien käyttöönotolle vähittäiskaupan alalle.

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LiDAR is an advanced remote sensing technology with many applications, including forest inventory. The most common type is ALS (airborne laser scanning). The method is successfully utilized in many developed markets, where it is replacing traditional forest inventory methods. However, it is innovative for Russian market, where traditional field inventory dominates. ArboLiDAR is a forest inventory solution that engages LiDAR, color infrared imagery, GPS ground control plots and field sample plots, developed by Arbonaut Ltd. This study is an industrial market research for LiDAR technology in Russia focused on customer needs. Russian forestry market is very attractive, because of large growing stock volumes. It underwent drastic changes in 2006, but it is still in transitional stage. There are several types of forest inventory, both with public and private funding. Private forestry enterprises basically need forest inventory in two cases – while making coupe demarcation before timber harvesting and as a part of forest management planning, that is supposed to be done every ten years on the whole leased territory. The study covered 14 companies in total that include private forestry companies with timber harvesting activities, private forest inventory providers, state subordinate companies and forestry software developer. The research strategy is multiple case studies with semi-structured interviews as the main data collection technique. The study focuses on North-West Russia, as it is the most developed Russian region in forestry. The research applies the Voice of the Customer (VOC) concept to elicit customer needs of Russian forestry actors and discovers how these needs are met. It studies forest inventory methods currently applied in Russia and proposes the model of method comparison, based on Multi-criteria decision making (MCDM) approach, mainly on Analytical Hierarchy Process (AHP). Required product attributes are classified in accordance with Kano model. The answer about suitability of LiDAR technology is ambiguous, since many details should be taken into account.

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Hemicelluloses are potential raw material for several items produced in future wood-based biorefineries. One possible method for recovering hemicelluloses from wood extracts is ultrafiltration (UF). However, low filtration capacities and severe fouling restrict the use of tight UF membranes in the treatment of wood extracts. The lack of suitable commercial membranes creates a need for pretreatment which would decrease fouling and increase the filtration capacity. This thesis focuses on the evaluation of the possibility to improve the filtration capacity and decrease fouling with the pretreatment of wood extracts. Methods which remove harmful compounds and methods which degrade them are studied, as well as combinations of the methods. The tested pretreatments have an influence on both the concentration of different compounds and the molecular mass distribution of the compounds in the extract. This study revealed that in addition to which kind of compounds were removed, also the change in molecular size distribution affected the filtration capacity significantly. It was shown that the most harmful compounds for the filtration capacity of the hydrophobic 5 kDa membrane were the ones capable of permeating the membrane and fouling also the inner membrane structure. Naturally, the size of the most harmful compounds depends on the used UF membrane and is thus case-specific. However, in the choice of the pretreatment method, the focus should be on the removal of harmful compound sizes rather than merely on the total amount of removed foulants. The results proved that filtration capacity can be increased with both adsorptive and oxidative pretreatments even by hundreds of per cents. For instance, the use of XAD7 and XAD16 adsorbents increased the average flux in the UF of a birch extract from nearly zero to 107 kg/(m2h) and 175 kg/(m2h), respectively. In the treatment of a spruce extract, oxidation by pulsed corona discharge (PCD) increased the flux in UF from 46 kg/(m2h) to 158 kg/(m2h). Moreover, when a birch extract batch was treated with laccase enzyme, the flux in UF increased from 15 kg/(m2h) to 36 kg/(m2h). However, fouling was decreased only by adsorptive pretreatment while oxidative methods had a negligible or even negative impact on it. This demonstrates that filtration capacity and fouling are affected by different compounds and mechanisms. The results of this thesis show that filtration capacity can be improved and fouling decreased through appropriate pretreatment. However, the choice of the best possible pretreatment is case-specific and depends on the wood extract and the membrane used. Finding the best option requires information on the extract content and membrane characteristics as well as on the filtration performance of the membrane in the prevailing conditions and a multivariate approach. On the basis of this study, it can be roughly concluded that adsorptive pretreatment improves the filtration capacity and decreases fouling rather reliably, but it may lead to significant hemicellulose losses. Oxidation reduces the loss of valuable hemicelluloses and could improve the filtration capacity, but fouling challenges may remain. Combining oxidation with adsorptive pretreatment was not a solution for avoiding hemicellulose losses in the tested cases.

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Tässä sivuaineen tutkielmassa tarkasteltiin englannin kielen sanaston kehitystä lukion vieraan kielen syventävän suullisen kurssin aikana. Tutkimuksessa selvitettiin, miten oppilaiden sanastollinen rikkaus muuttuu puhutussa kielessä. Sanastollista rikkautta analysoitiin sanastollisen variaation ja sanastollisen tiheyden mittareilla. Työssä hyödynnettiin pitkittäistutkimusasetelmaa eli verrattiin yhden oppilasryhmän puhetta sekä ennen lukion englannin kielen suullista kurssia että sen jälkeen. Osanottajia oli yhteensä yhdeksän, jotka kaikki olivat lukion toisella vuosikurssilla. Osallistujien tekemät suulliset testit olivat osa Turun yliopiston keräämää tutkimuskäyttöön tarkoitettua materiaalia. Äänitteistä tehdyt transkriptiot muokattiin tätä tutkimusta varten sopiviksi, jonka jälkeen niistä mitattiin sanastollista rikkautta erilaisilla mittareilla. Aineistoa tutkittiin määrällisin menetelmin. Tulokset osoittavat, että keskimääräisesti sekä puheen sanastollinen variaatio että sanastollinen tiheys kehittyivät kurssin aikana hiukan. Toisin sanoen oppilaat käyttivät kurssin jälkeen tehdyssä testissä aavistuksen verran monipuolisempaa sanastoa, ja sisältösanojen osuus kieliopillisiin sanoihin nähden oli hieman suurempi kuin ennen kurssia. Kurssin aikana oppilaiden aktiivisessa sanavarastossa tapahtunut kehitys ei kuitenkaan ollut tilastollisesti merkitsevää. Lisäksi tutkimus osoitti, että osallistujien väliset erot olivat suuria, mutta erot tasoittuivat jonkin verran kurssin jälkeen. Tutkimustulosten perusteella voidaan olettaa englannin kielen suullisen kurssin sekä lisänneen oppilaiden sanastollista rikkautta että tasoittaneen yksilöllisiä eroja, yhdessä monien muiden mahdollisten tekijöiden kanssa. Tutkimusotoksen pienuuden vuoksi tuloksia ei kuitenkaan voida yleistää. Jatkossa olisi mielenkiintoista laajentaa tutkimusnäkökulmaa koskemaan muitakin sanastollisen rikkauden osa-alueita kuten sanastollista sofistikaatiota. Olisi myös mielenkiintoista sisällyttää tutkimukseen oppilaiden passsiivisen sanavaraston mittaaminen ja mahdollisesti tutkia englannin kielen suullisen kurssin vaikutuksia oppilaiden suullisen kielitaidon kehittymiseen laajemminkin kuin vain sanavaraston osalta.

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Vapaakappalekartuntaan perustuva tilasto Suomessa julkaistuista puheäänitteistä vuodesta 1995 lähtien

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After sales business is an effective way to create profit and increase customer satisfaction in manufacturing companies. Despite this, some special business characteristics that are linked to these functions, make it exceptionally challenging in its own way. This Master’s Thesis examines the current situation of the data and inventory management in the case company regarding possibilities and challenges related to the consolidation of current business operations. The research examines process steps, procedures, data requirements, data mining practices and data storage management of spare part sales process, whereas the part focusing on inventory management is reviewing the current stock value and examining current practices and operational principles. There are two global after sales units which supply spare parts and issues reviewed in this study are examined from both units’ perspective. The analysis is focused on the operations of that unit where functions would be centralized by default, if change decisions are carried out. It was discovered that both data and inventory management include clear shortcomings, which result from lack of internal instructions and established processes as well as lack of cooperation with other stakeholders related to product’s lifecycle. The main product of data management was a guideline for consolidating the functions, tailored for the company’s needs. Additionally, potentially scrapped spare part were listed and a proposal of inventory management instructions was drafted. If the suggested spare part materials will be scrapped, stock value will decrease 46 percent. A guideline which was reviewed and commented in this thesis was chosen as the basis of the inventory management instructions.