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The Global ETD Search service is a free service for researchers
to find electronic theses and dissertations. This service is
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Networked Digital Library of Theses and Dissertations.
Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
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Showing 41 to 43 of 43 (0.026 seconds)Spelling suggestions: "subject:"binär"" "subject:"linär""
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Early Warning System of Students Failing a Course : A Binary Classification Modelling Approach at Upper Secondary School Level / lFörebyggande Varningssystem av elever med icke godkänt betyg : Genom applicering av binär klassificeringsmodell inom gymnasieskolanKarlsson, Niklas, Lundell, Albin January 2022 (has links)
Only 70% of the Swedish students graduate from upper secondary school within the given time frame. Earlier research has shown that unfinished degrees disadvantage the individual student, policy makers and society. A first step for preventing dropouts is to indicate students about to fail courses. Thus the purpose is to identify tendencies whether a student will pass or not pass a course. In addition, the thesis accounts for the development of an Early Warning System to be applied to signal which students need additional support from a professional teacher. The used algorithm Random Forest functioned as a binary classification model of a failed grade against a passing grade. Data in the study are in samples of approximately 700 students from an upper secondary school within the Stockholm municipality. The chosen method originates from a Design Science Research Methodology that allows the stakeholders to be involved in the process. The results showed that the most dominant indicators for classifying correct were Absence, Previous grades and Mathematics diagnosis. Furthermore, were variables from the Learning Management System predominant indicators when the system also was utilised by teachers. The prediction accuracy of the algorithm indicates a positive tendency for classifying correctly. On the other hand, the small number of data points imply doubt if an Early Warning System can be applied in its current state. Thus, one conclusion is in further studies, it is necessary to increase the number of data points. Suggestions to address the problem are mentioned in the Discussion. Moreover, the results are analysed together with a review of the potential Early Warning Systemfrom a didactic perspective. Furthermore, the ethical aspects of the thesis are discussed thoroughly. / Endast 70% av svenska gymnasieelever tar examen inom den givna tidsramen. Tidigare forskning har visat att en oavslutad gymnasieutbildning missgynnar både eleven och samhället i stort. Ett första steg mot att förebygga att elever avviker från gymnasiet är att indikera vilka studenter som är på väg mot ett underkänt betyg i kurser. Därmed är syftet med rapporten att identifiera vilka trender som bäst indikerar att en elev kommer klara en kurs eller inte. Dessutom redogör rapporten för utvecklandet av ett förebyggande varningssystem som kan appliceras för att signalera vilka studenter som behöver ytterligare stöd från läraren och skolan. Algoritmen som användes var Random Forest och fungerar som en binär klassificeringsmodell av ett underkänt betyg mot ett godkänt. Den data som använts i studien är datapunkter för ungefär 700 elever från en gymnasieskola i Stockholmsområdet. Den valda metoden utgår från en Design Science Researchmetodik vilket möjliggör för intressenter att vara involverade i processen. Resultaten visade att de viktigaste variablerna var frånvaro, tidigare betyg och resultat från Stockholmsprovet (kommunal matematikdiagnos). Vidare var variabler från lärplattformen en viktig indikator ifall lärplattformen användes av läraren. Algoritmens noggrannhet indikerade en positiv trend för att klassificeringen gjordes korrekt. Å andra sidan är det tveksamt ifall det förebyggande systemet kan användas i sitt nuvarande tillstånd då mängden data som användes för att träna algoritmen var liten. Därav är en slutsats att det är nödvändigt för vidare studier att öka mängden datapunkter som används. I Diskussionen nämns förslag på hur problemet ska åtgärdas. Dessutom analyseras resultaten tillsammans med en utvärdering av systemet från ett didaktiskt perspektiv. Vidare diskuteras rapportens etiska aspekter genomgående.
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Bygg dig en konkursbuffert : - En studie om sex nyckeltal som kan innebära finansiell oro för små bolag inom byggbranschenPalmhag, Gabriel, Mårtensson, Mattias January 2018 (has links)
Denna studies syfte var att analysera sex nyckeltal och se vilka samband dessa hade på riskbuffert sysselsatt kapital. Studien utfördes på 796 små byggbolag i Sverige under perioden 2009–2016 med hjälp av en binär logistisk regressionsanalys. Som teoretisk referensram användes working capital management och finansiell oro. Studien resulterade i att kapitalets omsättningshastighet, skuldränta och rörelsekapital/totala tillgångar uppvisade signifikanta negativa samband med riskbuffert sysselsatt kapital. Räntetäckningsgrad och avkastning på totalt kapital resulterade i signifikanta positiva samband med riskbuffert sysselsatt kapital. Skuldsättningsgrad resulterade intressant nog i ett icke signifikant negativt samband. Slutligendiskuterades byggbolagens sannolikhet för finansiell oro utifrån respektive nyckeltal. / The aim of this study was to examine the relation between six independent key ratios with riskbuffer on capital employed. The study was conducted on 796 small construction enterprises in Sweden during 2009–2016 with a binary logistic regression model. As theoretical framework, working capital management and financial distress was applied. The study concluded that the capital turnover rate, interest payable and working capital to total assets had significant negative relations with riskbuffer on capital employed. However, the interest cover ratio and return on total assets were both significant positively related withriskbuffer on capital employed. Debt-to-equity ratio resulted interestly enough in a nonsignificant negative relation. Lastly, with regards taken to every respective key ratio, the probability of financial distress among the construction firms was discussed.
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Analysis of Accuracy for Engine and Gearbox SensorsDogantimur, Erkan, Johnsson, Daniel January 2019 (has links)
This thesis provides a standardized method to measure accuracy for engine and gearbox sensors. Accuracy is defined by ISO 5725, which states that trueness and precision need to be known to provide a metric for accuracy. However, obtaining and processing the data required for this is not straight forward. In this thesis, a method is presented that consists of two main parts: data acquisition and data analysis. The data acquisition part shows how to connect all of the equipment used and how to sample and store all the raw data from the sensors. The data analysis part shows how to process that raw data into statistical data, such as trueness, repeatability and reproducibility for the sensors. Once repeatability and reproducibility are known, the total precision can be determined. Accuracy can then be obtained by using information from trueness and precision. Besides, this thesis shows that measurement error can be separated into error caused by the sensors and error caused by the measurand. This is useful information, because it can be used to assess which type of error is the greatest, whether or not it can be compensated for, and if it is economically viable to compensate for such error. The results are then shown, where it is possible to gain information about the sensors’ performance from various graphs. Between Hall and inductive sensors, there were no superior winner, since they both have their strengths and weaknesses. The thesis ends by making recommendations on how to compensate for some of the errors, and how to improve upon the method to make it more automatic in the future.
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