Global ETD Search

31	More tools for Canvas : Realizing a Digital Form with Dynamically Presented Questions and Alternatives Sarwar, Reshad, Manzi, Nathan January 2019 (has links) At KTH, students who want to start their degree project must complete a paper form called “UT-EXAR: Ansökan om examensarbete/application for degree project”. The form is used to determine students’ eligibility to start a degree project, as well as potential examiners for the project. After the form is filled in and signed by multiple parties, a student can initiate his or her degree project. However, due to the excessively time-consuming process of completing the form, an alternative solution was proposed: a survey in the Canvas Learning Management System (LMS) that replace s the UT-EXAR form. Although the survey reduces the time required by students to provide information and find examiners, it is by no means the most efficient solution. The survey suffers from multiple flaws, such as asking students to answer unnecessary questions, and for certain questions, presenting students with more alternatives than necessary. The survey also fails to automatically organize the data collected from the students’ answers; hence administrators must manually enter the data into a spreadsheet or other record. This thesis proposes an optimized solution to the problem by introducing a dynamic survey. Moreover, this dynamic survey uses the Canvas Representational State Transfer (REST) API to access students’ program-specific data. Additionally, this survey can use data provided by students when answering the survey questions to dynamically construct questions for each individual student as well as using information from other KTH systems to dynamically construct customized alternatives for each individual student. This solution effectively prevents the survey from presenting students with questions and choices that are irrelevant to their individual case. Furthermore, the proposed solution directly inserts the data collected from the students into a Canvas Gradebook. In order to implement and test the proposed solution, a version of the Canvas LMS was created by virtualizing each Canvas-based microservice inside of a Docker container and allowing the containers to communicate over a network. Furthermore, the survey itself used the Learning Tools Interoperability (LTI) standard. When testing the solution, it was seen that the survey has not only successfully managed to filter the questions and alternative answers based on the user’s data, but also showed great potential to be more efficient than a survey with statically-presented data. The survey effectively automates the insertion of the data into the gradebook. / På KTH, studenter som skall påbörja sitt examensarbete måste fylla i en blankett som kallas “UT-EXAR: Ansökan om examensarbete/application for degree project”. Blanketten används för att bestämma studenters behörighet för att göra examensarbete, samt potentiella examinator för projektet. Efter att blanketten är fylld och undertecknad av flera parter kan en student påbörja sitt examensarbete. Emellertid, på grund av den alltför tidskrävande processen med att fylla blanketten, var en alternativ lösning föreslås: en särskild undersökning i Canvas Lärplattform (eng. Learning Management System(LMS)) som fungerar som ersättare för UT-EXAR-formulär. Trots att undersökningen har lyckats minska den tid som krävs av studetenter för att ge information och hitta examinator, det är inte den mest effektiva lösningen. Undersökningen lider av flera brister, såsom att få studenterna att svara på fler frågor än vad som behövs, och för vissa frågor, presenterar studenter med fler svarsalternativ än nödvändigt. Undersökningen inte heller automatiskt med att organisera data som samlats in från studenters svar. Som ett resultat skulle en administratör behöva organisera data manuellt i ett kalkylblad. Detta examensarbete föreslår en mer optimerad lösning på problemet: omskrivning av undersökningens funktionaliteter för att använda Representational State Transfer(REST) API för att komma åt studenters programspecifika data i back-end, såväl att använda speciella haschar för att hålla referenser till uppgifter som lämnas av studenterna när de svarar på frågorna i undersökningen, så att undersökningen inte bara kan använda dessa data för att dynamiskt konstruera frågor för varje enskild student, men också dynamiskt konstruera svarsalternativ för varje enskild student. Denna lösning förhindrar effektivt undersökningen från att presentera studenter med frågor och valbara svarsalternativ som är helt irrelevanta för var och en av deras individuella fall. Med den föreslagna lösningen kommer undersökningen dessutom att kunna organisera de data som samlats in från Studenterna till ett speciellt Canvas-baserat kalkyllblad, kallas som Betygsbok. För att genomföra och testa den förslagna lösningen skapades en testbar version av Canvas LMS genom att virtualisera varje Canvas-baserad mikroservice inuti en dockercontainer och tillåter containers att kommunicera över ett nätverk. Dessutom var undersökningen själv konfigurerad för att använda Lärverktyg Interoperability (LTI) standard. Vid testning av lösningen, det visade sig att undersökningen på ett sätt effektivt har lyckats använda vissa uppgifter från en testanvändare att bara endast svara på de relevanta frågorna, men också presentera användaren med en mer kondenserad lista svarsalternativ över baserat på data.<p> Canvas Learning Management System (LMS) Learning Tools Interoperability (LTI) Docker containers Microservices Architecture REST API Dynamic survey systems Canvas Lärplattform Lärverktyg Interoperabilitet Dockercontainenrar Mikroservices arkitekektur RESTful API Dynamisk undersökningssystem Communication Systems Kommunikationssystem
32	Estimação de parâmetros de sinais gerados por sistemas lineares invariantes no tempo / Estimation of parameters of signals generated by time invariant linear systems Agnaldo da Conceição Esquincalha 30 April 2009 (has links) Fundação Carlos Chagas Filho de Amparo a Pesquisa do Estado do Rio de Janeiro / Nesta dissertação é apresentado um estudo sobre a recuperação de sinais modelados por somas ponderadas de exponenciais complexas. Para tal, são introduzidos conceitos elementares em teoria de sinais e sistemas, em particular, os sistemas lineares invariantes no tempo, SLITs, que podem ser representados matematicamente por equações diferenciais, ou equações de diferenças, para sinais analógicos ou digitais, respectivamente. Equações deste tipo apresentam como solução somas ponderadas de exponenciais complexas, e assim fica estabelecida a relação entre os sistemas de tipo SLIT e o modelo em estudo. Além disso, são apresentadas duas combinações de métodos utilizadas na recuperação dos parâmetros dos sinais: métodos de Prony e mínimos quadrados, e métodos de Kung e mínimos quadrados, onde os métodos de Prony e Kung recuperam os expoentes das exponenciais e o método dos mínimos quadrados recupera os coeficientes lineares do modelo. Finalmente, são realizadas cinco simulações de recuperação de sinais, sendo a última, uma aplicação na área de modelos de qualidade de água. / A study on the recovery of signals modeled by weighted sums of complex exponentials complex is presented. For this, basic concepts of signals and systems theory are introduced. In particular, the linear time invariant systems (LTI Systems) are considered, which can be mathematically represented by differential equations or difference equations, respectively, for analog or digital signals. The solution of these types of equations is given by a weighted sum of complex exponentials, so the relationship between the LTI Systems and the model of study is established. Furthermore, two combinations of methods are used to recover the parameters of the signals: Prony and least squares methods, and Kung and least squares methods, where Prony and Kung methods are used to recover the exponents of the exponentials and the least square method is used to recover the linear coefficients of the model. Finally, five simulations are performed for the recovery of signals, the last one being an application in the area of water quality models. Estimativa de parâmetro Sistemas lineares invariantes ao tempo Soma exponencial Mínimos quadrados Reconstrução de sinais Método de Prony Método de Kung Signal processing - Simulation methods Parameter estimation Linear time invariant systems Exponential sums Least squares Recovery of signals LTI systems Weighted sum of complex exponentials Kungs method Pronys method MATEMATICA APLICADA
33	Estimação de parâmetros de sinais gerados por sistemas lineares invariantes no tempo / Estimation of parameters of signals generated by time invariant linear systems Agnaldo da Conceição Esquincalha 30 April 2009 (has links) Fundação Carlos Chagas Filho de Amparo a Pesquisa do Estado do Rio de Janeiro / Nesta dissertação é apresentado um estudo sobre a recuperação de sinais modelados por somas ponderadas de exponenciais complexas. Para tal, são introduzidos conceitos elementares em teoria de sinais e sistemas, em particular, os sistemas lineares invariantes no tempo, SLITs, que podem ser representados matematicamente por equações diferenciais, ou equações de diferenças, para sinais analógicos ou digitais, respectivamente. Equações deste tipo apresentam como solução somas ponderadas de exponenciais complexas, e assim fica estabelecida a relação entre os sistemas de tipo SLIT e o modelo em estudo. Além disso, são apresentadas duas combinações de métodos utilizadas na recuperação dos parâmetros dos sinais: métodos de Prony e mínimos quadrados, e métodos de Kung e mínimos quadrados, onde os métodos de Prony e Kung recuperam os expoentes das exponenciais e o método dos mínimos quadrados recupera os coeficientes lineares do modelo. Finalmente, são realizadas cinco simulações de recuperação de sinais, sendo a última, uma aplicação na área de modelos de qualidade de água. / A study on the recovery of signals modeled by weighted sums of complex exponentials complex is presented. For this, basic concepts of signals and systems theory are introduced. In particular, the linear time invariant systems (LTI Systems) are considered, which can be mathematically represented by differential equations or difference equations, respectively, for analog or digital signals. The solution of these types of equations is given by a weighted sum of complex exponentials, so the relationship between the LTI Systems and the model of study is established. Furthermore, two combinations of methods are used to recover the parameters of the signals: Prony and least squares methods, and Kung and least squares methods, where Prony and Kung methods are used to recover the exponents of the exponentials and the least square method is used to recover the linear coefficients of the model. Finally, five simulations are performed for the recovery of signals, the last one being an application in the area of water quality models. Estimativa de parâmetro Sistemas lineares invariantes ao tempo Soma exponencial Mínimos quadrados Reconstrução de sinais Método de Prony Método de Kung Signal processing - Simulation methods Parameter estimation Linear time invariant systems Exponential sums Least squares Recovery of signals LTI systems Weighted sum of complex exponentials Kungs method Pronys method MATEMATICA APLICADA
34	Necessary and Sufficient Conditions on State Transformations That Preserve the Causal Structure of LTI Dynamical Networks Leung, Chi Ho 01 May 2019 (has links) Linear time-invariant (LTI) dynamic networks are described by their dynamical structure function, and generally, they have many possible state space realizations. This work characterizes the necessary and sufficient conditions on a state transformation that preserves the dynamical structure function, thereby generating the entire set of realizations of a given order for a specific dynamic network. linear systems;state-space methods necessary conditions sufficient conditions state transformation causal structure LTI dynamical networks linear time-invariant dynamic networks dynamical structure function specific dynamic network state space realizations Computational modeling Mathematical model Aerospace electronics Transfer functions Linear systems Structural engineering Heuristic algorithms Physical Sciences and Mathematics
35	Necessary and Sufficient Conditions on State Transformations That Preserve the Causal Structure of LTI Dynamical Networks Leung, Chi Ho 01 May 2019 (has links) Linear time-invariant (LTI) dynamic networks are described by their dynamical structure function, and generally, they have many possible state space realizations. This work characterizes the necessary and sufficient conditions on a state transformation that preserves the dynamical structure function, thereby generating the entire set of realizations of a given order for a specific dynamic network. linear systems state-space methods necessary conditions sufficient conditions state transformation causal structure LTI dynamical networks linear time-invariant dynamic networks dynamical structure function specific dynamic network state space realizations Computational modeling Mathematical model Aerospace electronics Transfer functions Linear systems Structural engineering Heuristic algorithms Physical Sciences and Mathematics
36	Necessary and Sufficient Conditions on State Transformations That Preserve the Causal Structure of LTI Dynamical Networks Leung, Chi Ho 01 May 2019 (has links) Linear time-invariant (LTI) dynamic networks are described by their dynamical structure function, and generally, they have many possible state space realizations. This work characterizes the necessary and sufficient conditions on a state transformation that preserves the dynamical structure function, thereby generating the entire set of realizations of a given order for a specific dynamic network. linear systems state-space methods necessary conditions sufficient conditions state transformation causal structure Physical Sciences and Mathematics
37	Channel Modeling Applied to Robust Automatic Speech Recognition Sklar, Alexander Gabriel 01 January 2007 (has links) In automatic speech recognition systems (ASRs), training is a critical phase to the system?s success. Communication media, either analog (such as analog landline phones) or digital (VoIP) distort the speaker?s speech signal often in very complex ways: linear distortion occurs in all channels, either in the magnitude or phase spectrum. Non-linear but time-invariant distortion will always appear in all real systems. In digital systems we also have network effects which will produce packet losses and delays and repeated packets. Finally, one cannot really assert what path a signal will take, and so having error or distortion in between is almost a certainty. The channel introduces an acoustical mismatch between the speaker's signal and the trained data in the ASR, which results in poor recognition performance. The approach so far, has been to try to undo the havoc produced by the channels, i.e. compensate for the channel's behavior. In this thesis, we try to characterize the effects of different transmission media and use that as an inexpensive and repeatable way to train ASR systems.
38	Minimization of Noise and Vibration Related to Driveline Imbalance using Robust Design Processes Al-Shubailat, Omar 17 August 2013 (has links) Variation in vehicle noise, vibration and harshness (NVH) response can be caused by variability in design (e.g. tolerance), material, manufacturing, or other sources of variation. Such variation in the vehicle response causes a higher percentage of produced vehicles to have higher levels (out of specifications) of NVH leading to higher number of warranty claims and loss of customer satisfaction, which are proven costly. Measures must be taken to ensure less warranty claims and higher levels of customer satisfactions. As a result, original equipment manufacturers (OEMs) have implemented design for variation in the design process to secure an acceptable (or within specification) response. The focus here will be on aspects of design variations that should be considered in the design process of drivelines. Variations due to imbalance in rotating components can be unavoidable or costly to control. Some of the major components in the vehicle that are known to have imbalance and traditionally cause NVH issues and concerns include the crankshaft, the drivetrain components (transmission, driveline, half shafts, etc.), and wheels. The purpose is to assess NVH as a result of driveline imbalance variations and develop a tool to help design a more robust system to such variations. program. Java quality engineering quality capability studies manufacturing processes manufacturing engineer design engineer sales profit customer concern warranty objectionable Eigen functions vectors Eigen Eigen values identity Euler differential equations differential transfer case shaft driveline static imbalance dynamic imbalance passenger customer driver inboard ear driver outboard ear steering wheel seat track variation Gamma distribution normal distribution standard deviation average variance mean phasor victor scalar linear system LTI linear time invariant transfer function output input microphone accelerometers tachometer channels order frequency frequency domain time domain convolution Transformation Fourier Transformer Fourier imaginary and real logarithmic decibel sensitivity curves run down run up two wheel drive Four Wheel Drive Nissan Truck OEM Original Equipment Manufacturers Data Acquisitions Channels Simulation Six Sigma variability Design Robust sensitivity Vibration Imbalance Noise Harshness NVH Driveline

Search results