Thesis (Ph. D.)--Virginia Polytechnic Institute and State University, 1992. / Vita. Abstract. Includes bibliographical references (leaves 215-226). Also available via the Internet.

Thesis (M. S.)--Mechanical Engineering, Georgia Institute of Technology, 2010. / Committee Chair: Allen, Janet K.; Committee Member: Choi, Seung-Kyum; Committee Member: Mistree, Farrokh. Part of the SMARTech Electronic Thesis and Dissertation Collection.

Thesis (Ph.D.)--University of Melbourne, Dept. of Computer Science and Software Engineering, 2009. / Typescript. Includes bibliographical references (p. 179-198)

Thesis (Ph. D.)--University of Missouri-Columbia, 2005. / The entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file (which also appears in the research.pdf); a non-technical general description, or public abstract, appears in the public.pdf file. Title from title screen of research.pdf file viewed on (November 14, 2006) Vita. Includes bibliographical references.

Master of Science / Department of Statistics / Shie-Shien Yang / There have been considerable debates over the robust parameter design. As a result, there have been many approaches presented that are suited to the robust parameter design. In my report, I illustrate and present Taguchi's robust parameter design, response surface approach and semi-parameter design. Considerable attention has been placed on the semi-parameter design. This approach is new technology that was introduced to Picke, Robinson, Birch and Anderson-Cook (2006). The method is a combined parametric and nonparametric technique to improve the estimates of both the mean and the variance of the response.

No description available.

Portfolio optimization models aim to optimally distribute capital among selected stocks, bonds and other securities and financial products offered on financial markets. An important factor in the optimization is the risk, which is by definition very abstract concept and is very difficult to quantify. Robust portfolio optimization model is based on the general robust binary model. The robustness of this model lies in a two-stage optimization, where every solution is subject to maximization of losses and from these pessimistic estimates such a solution is selected that best meets the user's criteria, in our case total return of the portfolio.

The covariance estimation is one of the most critical tasks in multivariate statistical analysis. In many applications, reliable estimation of the covariance matrix, or scatter matrix in general, is required. The performance of the classical maximum likelihood method relies a great deal on the validity of the model assumption. Since the assumptions are often approximately correct, many robust statistical methods have been proposed to be robust against the deviation from the model assumptions. M-estimator is an important class of robust estimator of the scatter matrix. The properties of these robust estimators under high dimensional setting, which means the number of dimensions has the same order of magnitude as the number of observations, is desirable. To study these, random matrix theory is a very important tool. With high dimensional properties of robust estimators, we introduced a new method for blind spectrum sensing in cognitive radio networks.

This master thesis is about modifying a certain monocular visual SLAM algorithm to address some of its limitations. The SLAM algorithm is not robust to quick camera motions and input images in which there are few visible features. A second camera and an inertial measurement unit was added to the hardware. Then a method for selecting the appropriate camera for tracking depending on the estimated number of features was implemented to solve the issue of few features. Experiments and results show that this method works well for slow motions. A gyrometer threshold method along with a motion model to solve the issue of quick motions was implemented and reviewed in this thesis. / Detta examensarbete handlar om att ta itu med några begränsningar som en viss monokulär visuell SLAM-algoritm har. SLAM-algoritmen är inte robust mot snabba kamerarörelser och indatabilder som innehåller få karaktärsdrag. Genom att introducera en extra kamera, en accelerometer och en gyrometer, behandlas dessa problem i denna rapport. En metod för att välja kamera att hämta indatabilder från, baserat på det skattade antalet karaktärsdrag i respektive bild implementerades. Denna metod är tänkt att lösa problemet då indatabilder har få karaktärsdrag. Experiment visar att denna metod fungerar bra för långsamma rörelser. En metod som jämför gyrometerdata med ett tröskelvärde tillsammans med en rörelsemodell implementerades för att lösa problemen vid snabb rörelse. Dessa metoder undersöks och diskuteras i rapporten.

Detta arbete behandlar framtagning av en robust sköljtank till en diskmaskin för grovdisk. Sköljtanken har en viktig roll i diskprocessen med ansvarar för att säkerställa att eventuella bakterier, diskmedel och matrester rensas i slutprocessen av diskningen. Därför ställs krav på produkten genom olika standarder för att vara godkänd för användning i diskmaskinen. Kraven berör främst vattentemperaturen samt dimensioner på ett bräddavlopp, som förhindrar att vatten från sköljtanken återströmmas till inloppsvattnet. Syftet med arbetet är att eliminera problem med överhettade värmeelment, opålitliga nivåvakter och korrosion som finns i befintlig sköljtank. Detta uppnås med framtagning av ett nytt sköljtanksystem genom en systematisk produktutvecklingsmetodik som inkluderar tillverkningsanpassad konstruktion (DFM) och miljöanpassad design (DFE). Arbetet resulterar i ett nytt system för sköljtanken med ett ovalformat tvärsnitt och beröringsfria nivåvakter. Detta nya system har ett värmeelement som alltid är täckt med vatten, ger tillförlitlig nivåmätning samt god härdighet mot korrosion. Andra viktiga förbättringar är lägre totalkostnad samt en miljöanpassad design. Det nya sköljtanksystemet lever upp till uppställda krav. / This paper is focusing on the development of a robust rinse tank in a dishwashing machine made for pot washing. The rinse tank plays an important role in the dishwashing process, that is to eliminate any bacteria, dish soap or left-overs, in the last step in the finishing process. Therefore demands on the product is set up, based on the required standards. The demands moststly affect the temperature of the water and the dimensions of an overflow, that will prevent the water from flowing back into the supply water pipelines. The purpose of this paper is to eliminate the problems that occur in the existing rinse tank, such as overheated heat element, unreliable level indicators and corrosion. To achieve this, a new robust rinse tank system is developted, by using an systematic product development method that includes design for manufacturing (DFM) and design for environment (DFE). The work results in a new system for the rinse tank, with a oval-shaped cross-section and contactless level sensors. This new system has a heat element that always is underwater, gives a reliable level indication and has a good resistance against corrosion. Other important improvements are a lower total cost together with a environmental design. The new rinse tank system satisfies the set demands.