Thesis (M.S.C.I.T.)--Regis University, Denver, Colo., 2005. / Title from PDF title page (viewed on Jan. 5, 2006). Includes bibliographical references.

Thesis (M.S.)--Rochester Institute of Technology, 2009. / Typescript. Includes bibliographical references (leaves 108-110).

Thesis (Sc.D.)--Massachusetts Institute of Technology, Dept. of Chemical Engineering, 1980. / MICROFICHE COPY AVAILABLE IN ARCHIVES AND SCIENCE. / Bibliography: leaves 254-255. / by Chau-Chyun Chen. / Sc.D.

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A research report submitted in partial fulfillment of the requirements for the degree of Master of Science in School of Computer Science and Applied Mathematics to the Faculty of Science University of Witwatersrand, 2019 / Learning-based methods have recently become popular in control engineering, achieving good performance on a number of challenging tasks. However, in complex environments where data efficiency and safety are critical, current methods remain unsatisfactory. As a step toward addressing these shortcomings, we propose a learning-based approach that combines Gaussian process regression with model predictive control. Using sparse spectrum Gaussian processes, we extend previous work by learning a model of the dynamics incrementally from a stream ofsensory data. Utilizinglearned dynamics and model uncertainty, we develop a controller that can learn and plan in real-time under non-linear constraints. We test our approach on pendulum and cartpole swing up problems and demonstrate the benefits of learning on a challenging autonomous racing task. Additionally, we show that learned dynamics models can be transferred to new tasks without any additional training. / TL (2020)

A research project report submitted to the Faculty of Engineering and the Built Environment, University of the Witwatersrand, in fulfilment of the requirements for the degree of Masters of Science in Engineering, 2017 / The assessment of local and spatial uncertainty associated with a regionalised variable such as nickel grade at Hunters Road magmatic sulphide deposit is one of the critical elements in the resource estimation. The study focused on the application of Multiple Indicator Kriging (MIK) and Sequential Gaussian Simulation (SGS) in the estimation of recoverable resources and the assessment of grade uncertainty at Hunters Road’s Western orebody. The Hunters Road Western orebody was divided into two domains namely the Eastern and the Western domains and was evaluated based on 172 drill holes. MIK and SGS were performed using Datamine Studio RM module. The combined Mineral Resources estimate for the Western orebody at a cut-off grade of 0.40%Ni is 32.30Mt at an average grade of 0.57%Ni, equivalent to 183kt of contained nickel metal. SGS results indicated low uncertainty associated with Hunters Road nickel project with 90% probability of an average true grade above cut-off, lying within +/-3% of the estimated block grade. The estimate of the mean based on SGS was 0.55%Ni and 0.57% Ni for the Western and Eastern domains respectively. MIK results were highly comparable with SGS E-type estimates while the most recent Ordinary Kriging (OK) based estimates by BNC dated May 2006, overstated the resources tonnage and underestimated the grade compared to the MIK estimates. It was concluded that MIK produced better estimates of recoverable resources than OK. However, since only E-type estimates were produced by MIK, post processing of “composite” conditional cumulative distribution function (ccdf) results using a relevant change of support algorithm such as affine correction is recommended. Although SGS produced a good measure of uncertainty around nickel grades, post processing of realisations using a different software such as Isatis has been recommended together with combined simulation of both grade and tonnage. / XL2018

"November, 2001" / Includes bibliographical references (leaves 229-246) / xxiv, 254 leaves : ill. (col.) ; 30 cm. / Title page, contents and abstract only. The complete thesis in print form is available from the University Library. / Thesis (Ph.D.)--University of Adelaide, Dept. of Electrical and Electronic Engineering, 2002

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A research report submitted to the Faculty of Engineering and the Built Environment, University of the Witwatersrand, Johannesburg, in partial fulfilment of the requirements for the degree of Master of Science in Engineering. Johannesburg, 2016 / It is of great importance to minimize misclassification of ore and waste during grade control for a mine operation. This research report compares two recoverable reserve estimation techniques for ore classification for Kayelekera Uranium Mine. The research was performed on two data sets taken from the pit with different grade distributions. The two techniques evaluated were Sequential Gaussian Simulation and Ordinary Kriging. A comparison of the estimates from these techniques was done to investigate which method gives more accurate estimates. Based on the results from profits and loss, grade tonnage curves the difference between the techniques is very low. It was concluded that similarity in the estimates were due to Sequential Gaussian Simulation estimates were from an average of 100 simulation which turned out to be similar to Ordinary Kriging. Additionally, similarities in the estimates were due to the close spaced intervals of the blast hole/sample data used. Whilst OK generally produced acceptable results like SGS, the local variability of grades was not adequately reproduced by the technique. Subsequently, if variability is not much of a concern, like if large blocks were to be mined, then either technique can be used and yield similar results. / M T 2016

Orientador: M. Angela de A. Meireles / Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia de Alimentos / Made available in DSpace on 2018-08-12T23:30:07Z (GMT). No. of bitstreams: 1 Veggi_PriscillaCarvalho_M.pdf: 1761382 bytes, checksum: 637112e200f071539191361e637c14ed (MD5) Previous issue date: 2009 / Resumo: Neste trabalho é apresentado um estudo comparativo do custo de manufatura para diferentes técnicas de extração: extração com solventes a baixa pressão (LPSE: Low Pressure Solvent Extraction) em taque agitado e percolação, e extração supercrítica (SFE: Supercritical Fluid Extraction). As estimativas dos custos para os processos de extração LPSE por agitação e percolação foram realizadas por meio do simulador de processos SuperPro DesignerÒ. Foi realizado um estudo experimental para a obtenção, por extração supercrítica, de polifenóis de folhas de pitanga (Eugenia uniflora). Para o estudo do aumento de escala, assumiu-se que os parâmetros em escala laboratorial: rendimento da extração, tempo e a relação entre a massa de alimentação e solvente, são mantidos constantes para o equipamento em escala industrial. Assim, as estimativas foram realizadas tendo como base dados de literatura para a matriz vegetal macela (Achyrocline satureioides). Os estudos foram realizados para extratores de 50 L, 100 L e 300 L. Os custos de manufatura para LPSE em taque agitado e percolação foram: US$ 877,21/kg; US$ 698,73/kg; US$ 573,34/kg e US$ 814,46/kg; US$ 567,86/kg; US$ 384,00/kg, respectivamente em extratores de 50 L, 100 L e 300 L. Notou-se a influência dos parâmetros tempo e rendimento no custo dos extratos. Posteriormente, um estudo do custo do extrato através do processo SFE para mesma matriz vegetal foi realizado. Porém, para SFE o custo do extrato foi estimado através do parâmetro tCER, tempo em que aproximadamente 70 % do leito de extração é esgotado, sendo esta uma boa estimativa para o menor tempo de ciclo. O custo de manufatura do extrato obtido por SFE foi US$ 585,49/kg. Uma avaliação comparativa entre os três processos foi realizada e, dentre os principais custos obtidos: de investimento inicial, matéria-prima e utilidades, notou-se que o custo de investimento não é predominante na formação do custo de manufatura. O custo de matéria-prima para alguns dos tamanhos de extratores representou o fator preponderante. Posteriormente à esta etapa, foi realizado o estudo da cinética do processo de extração supercrítica para obtenção do extrato de folhas da pitanga (Eugenia uniflora) a partir de dados otimizados da literatura; este estudo foi realizado em coluna de extração de 300 mL. Utilizou-se temperatura e pressão de 333,15 K e 60 MPa sob diferentes condições de vazão a fim de estudar o comportamento cinético da extração em relação ao rendimento e à presença de compostos voláteis. Ainda foram realizadas análises para identificação dos compostos por cromatografia em camada delgada (CCD) e cromatografia gasosa acoplada à espectrometria de massas (CG-EM). O estudo do aumento de escala foi realizado usando-se uma unidade piloto equipada com dois extratores de 5 L contendo 3 separadores (S1, S2 e S3); como referência foi empregado o ensaio cinético realizado para folhas de pitanga na coluna de 300 mL. Seguindo o critério de aumento de escala em que se mantém constante a proporção entre a massa de solvente e a massa de matéria-prima, o aumento de escala foi de 17 vezes. Para os experimentos foram selecionadas as seguintes condições de operação para os três separadores S1, S2 e S3: 10 MPa/333,15 K; 7 MPa/303,15 K e 3 MPa /313,15 K, respectivamente. Quatro pontos selecionados da cinética de extração em coluna de 300 Ml foram então reproduzidos. O custo do extrato foi estimado utilizando o simulador SuperPro DesignerÒ obtendo-se um custo do manufatura de US$ 449,89/kg / Abstract: In this work a comparative study of the cost of manufacturing (COM) for different extraction techniques is presented: low pressure solvent extraction (LPSE) in agitation and percolation, and supercritical fluid extraction (SFE). The COM estimation was carried using the processes simulator SuperPro Designer®; agitation and percolation LPSE processes were developed in the simulator. An experimental study to obtain poliphenols by supercritical fluid extraction from leaves of pitanga (Eugenia uniflora) was also performed. For the scale-up study it was assumed that the parameters for the laboratorial scale SFE unit: yield of extraction, time and ratio between the feed mass and solvent mass are kept constant for the equipment in industrial scale. The estimations were carried using literature information for the vegetable matrix macela (Achyrocline satureioides). The studies were done for extraction vessels of 50 L, 100 L and 300 L. The COM for LPSE agitation and percolation processes were: US$ 877.21/kg; US$ 698.73/kg; US$ 573.34/kg and US$ 814.46/kg; US$ 567.86/kg; US$ 384.00/kg, respectively for extractors of 50 L, 100 L and 300 L. It was observed the influence of time and yield parameters on the COM. Later, a study of SFE process COM for the same vegetable matrix was done. For SFE the COM was estimated using the tCER parameter as cycle time, where approximately 70% of extraction bed is exhausted, being this a good estimation. The COM of extract obtained by SFE was US$ 585.49/kg. A comparative evaluation between the tree processes was carried out, and among the major costs factors: investment, raw material and utilities, it was observed that the investment cost is not predominant in the COM of the extracts. The raw material cost certain vessel sizes represented the major cost factor. After this step, a study of the SFE kinetics for leaves of pitanga (Eugenia uniflora) was carried out. The operating conditions were selected from optimized data from literature; this study was done in a 300 mL column vessel. It was utilized temperatures and pressure of 333.15 K and 60 MPa under different flow rates in order to study the kinetic behavior of the overall extraction curve and the presence of volatile compounds. Thin layer chromatography (TLC) and gas chromatography-mass spectrometry (GC-MS) analyses were used for identification of the compounds present in the extract. The scale-up study was carried out using a pilot unit equipped with two extractor of 5L vessel containing 3 separators vessels (S1, S2 and S3); as reference the kinetic assay for pitanga leaves in 300 mL column vessel was used. According to the scaleup criterion that the ratio between solvent mass and raw material mass is kept constant, the scale-up was of 17 times. For the experiment the following operation condition for the three separators S1, S2 and S3 were selected: 10 MPa/333.15 K; 7 MPa/303.15 K and 3 MPa /313.15 K, respectively. Four points selected from kinetic experiment in 300 mL column vessel were reproduced. The extract COM was estimated using simulator SuperPro DesignerÒ (US$ 449,89/kg) / Mestrado / Mestre em Engenharia de Alimentos