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In this report, the feasibility of a massively parallel, nanoscale laser shock peening process is investigated. This report will give a fundamental background on laser shock peening processes in general. The background will include a description of the mechanisms associated with laser shock peening, and the theory behind laser shock peening. The experiments that were performed to develop a nanoscale laser shock peening process will also be described in detail. The problems associated with different experiments and the results will be presented. / text

Traditional parallel methods for structural design do not scale well. This thesis discusses the application of massively scalable cellular automata (CA) techniques to structural design. There are two sets of CA rules, one used to propagate stresses and strains, and one to perform design analysis. These rules can be applied serially, periodically, or concurrently, and Jacobi or Gauss-Seidel style updating can be done. These options are compared with respect to convergence, speed, and stability. / Master of Science

Zugl.: München, Univ., Diss., 2009

International Telemetering Conference Proceedings / October 25-28, 1993 / Riviera Hotel and Convention Center, Las Vegas, Nevada / An artificial neural network (ANN) for use in real time data reduction and analysis will be presented. The use and advantage of hardware and software implementations of neural networks will be considered. The ability of neural networks to learn and store associations between different sets of data can be used to create custom algorithms for some of the data analysis done during missions. Once trained, the ANN can distill the signals from several sensors into a single output, such as safe/unsafe. Used on a neural chip, the trained ANN can eliminate the need for A/D conversions and multiplexing for processing of combined parameters and the massively parallel nature of the network allows the processing time to remain independent of the number of parameters. As a software routine, the advantages of using an ANN over conventional algorithms include the ease of use for engineers, and the ability to handle nonlinear, noisy and imperfect data. This paper will apply the ANN to performance data from a T-38 aircraft.

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xv, 99 p. : ill. (some col.) A print copy of this thesis is available through the UO Libraries. Search the library catalog for the location and call number. / When cells are faced with the stress of oxygen deprivation (hypoxia), they must alter their physiology in order to survive. One adaptation cells make during hypoxia entails the transcriptional activation of specific groups of genes as well as the concurrent repression of other groups. This modulation is achieved through the actions of transcription factors, proteins that are directly involved in this transcriptional activation and repression. I studied the transcriptional response to hypoxia in the model organism Drosophila melanogaster utilizing DNA microarrays to examine the transcriptomes of five different mutant Drosophila strains deficient in the hypoxia-responsive transcription factors HIF-1, FOXO, NFkB, p53, and MTF-1. By comparing hypoxia responsive gene expression in these mutants to that of wild type flies and subsequently identifying binding sites for each transcription factor near putative target genes, I was able to identify the transcripts regulated by each transcription factor during hypoxia. I discovered that FOXO plays an unexpectedly large role in hypoxic gene regulation, regulating a greater number of genes than any other transcription factor. I also identified multiple interesting targets of other transcription factors and uncovered a potential regulatory link between HIF-1 and FOXO. This study is the most in-depth examination of the transcriptional hypoxia response to date. I was also involved in additional research on transcriptional stress responses in Drosophila. Also included in this dissertation are two papers on which I was the second author. One paper identified a regulatory link between the transcriptional responses to hypoxia and heat-shock. The other examined elevated CO 2 stress (hypercapnia) in Drosophila, showing that this stress causes the down-regulation of NFkB-dependent antimicrobial peptide gene expression. My studies of stress responses would not have been possible without well-described mutant fly strains. Another part of my dissertation research involved the creation of a method for characterizing new mutants for future studies. When researchers seek to identify the molecular nature of a mutation that causes an interesting phenotype, they must ultimately determine the specific responsible genomic sequence change. While classical genetic methods and other techniques can easily be used to roughly map the location of a mutation in a genome, regions identified by these means are usually so large that sequencing them to precisely identify the polymorphism is laborious and slow. I have developed a technique that makes sequencing genomic regions of this size much easier. My technique involves capturing genomic regions by hybridization of fragmented genomic target DNA to biotinylated probes generated from fosmid DNA, which are subsequently immobilized and washed on streptavidin beads. Genomic DNA fragments are then eluted by denaturation and sequenced using the latest generation of massively parallel sequencing technology. I have demonstrated the effectiveness of this approach by sequencing a mutation-containing 336-kilobase genomic region from a Caenorhabditis elegans strain. My entire protocol can be completed in two days, is relatively inexpensive, and is broadly applicable to any situation in which one wants to sequence a specific genomic region using massively parallel sequencing. This dissertation includes both my previously published and my coauthored materials. / Adviser: Eric Johnson

Thesis (PhD)--Stellenbosch University, 2013. / ENGLISH ABSTRACT: Recently, there has been significant research focus on Peer-to-Peer (P2P) Massively Multi-user Virtual Environments (MMVEs). A number of architectures have been presented in the literature to implement the P2P approach. One aspect that has not received sufficient attention in these architectures is state management and state persistency in P2P MMVEs. This work presents and simulates a novel state management and persistency architecture, called Pithos. In order to design the architecture, an investigation is performed into state consistency architectures, into which the state management and persistency architecture should fit. A novel generic state consistency model is proposed that encapsulated all state consistency models reviewed. The requirements for state management and persistency architectures, identified during the review of state consistency models, are used to review state management and persistency architectures currently receiving research attention. Identifying some deficiencies present in current designs, such as lack of fairness, responsiveness and scalability, a novel state management and persistency architecture, called Pithos, is designed. Pithos is a reliable, responsive, secure, fair and scalable distributed storage system, ideally suited to P2P MMVEs. Pithos is implemented in Oversim, which runs on the Omnet++ network simulator. An evaluation of Pithos is performed to verify that it satisfies the identified requirements. It is found that the reliability of Pithos depends heavily on object lifetimes. If an object lives longer on average, retrieval requests are more reliable. An investigation is performed into the factors influencing object lifetime. A novel Markov chain model is proposed which allows for the prediction of objects lifetimes in any finite sized network, for a given amount of redundancy, node lifetime characteristics and object repair rate. / AFRIKAANSE OPSOMMING: Onlangs is daar ’n beduidende navorsingsfokus op Eweknie Massiewe Multi-gebruiker Virtuele Omgewings (MMVOs). ’n Aantal argitekture is in die literatuur beskikbaar wat die eweknie benadering voorstel. Een aspek wat nie voldoende aandag ontvang in hierdie argitekture nie is toestandsbestuur en toestandsvolharding in eweknie MMVOs. Hierdie werk ontwerp en simuleer ’n nuwe toestandsbestuur- en toestandsvolhardingargitektuur genaamd Pithos. Ten einde die argitektuur te ontwerp is ’n ondersoek uitgevoer in toestandskonsekwentheidargitekture, waarin die toestandsbestuur- en toestandsvolhardingargitektuur moet pas. ’n Nuwe generiese toestandskonsekwentheidargitektuur word voorgestel wat alle hersiene toestandskonsekwentheid argitekture vervat. Die vereistes vir die toestandsbestuur- en toestandsvolhardingargitekture, geidentifiseer tydens die hersiening van die toestandskonsekwentheidargitekture, word gebruik om toestandsbestuuren toestandsvolhardingargitekture te hersien wat tans navorsingsaandag geniet. Identifisering van sekere leemtes teenwoordig in die huidige ontwerpe, soos ’n gebrek aan regverdigheid, responsiwiteit en skaleerbaarheid, lei tot die ontwerp van ’n nuwe toestandsbestuur- en toestandsvolhardingargitektuur wat Pithos genoem word. Pithos is ’n betroubare, responsiewe, veilige, regverdige en skaleerbare verspreide stoorstelsel, ideaal geskik is vir eweknie MMVOs. Pithos word geïmplementeer in Oversim, wat loop op die Omnet++ netwerk simulator. ’n Evaluering van Pithos word uitgevoer om te verifieer dat dit voldoen aan die geïdentifiseerde behoeftes. Daar is gevind dat die betroubaarheid van Pithos afhang van die objek leeftyd. As ’n objek gemiddeld langer leef, dan is herwinning versoeke meer betroubaar. ’n Ondersoek word uitgevoer na die faktore wat die objek leeftyd beïnvloed. ’n Nuwe Markov ketting model word voorgestel wat voorsiening maak vir die voorspelling van objek leeftye in eindige grootte netwerke, vir gegewe hoeveelhede van oortolligheid, nodus leeftyd eienskappe en objek herstelkoers.

Orientador: Carlos Alberto Kamienski. / Dissertação (mestrado) - Universidade Federal do ABC. Programa de Pós-graduação em Engenharia da Informação.

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