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1
Botello, Jennell. "Composition date of the synoptic gospels." FIU Digital Commons, 2007. http://digitalcommons.fiu.edu/etd/1775.
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The purpose of this research paper is to follow a line of ongoing investigations that discuss dates for the origin of the synoptic gospels and evaluate the arguments for early, late, and intermediate dating and their susceptibility to critique from opposing arguments. There are three principal components in dating theories: (1) data from the Greek in the earliest texts (2) data concerning the provenance of the earliest texts (3) and data from the historical context of the first century.
The study is significant because, contrary to what might be expected, the starting and key point in deciding on a composition date is the Book of Acts of the Apostles. This study compiled and integrated information, in an unbiased fashion, based on reading and researching large numbers of texts by scholars, such as Hengel, who support an earlier dating, as well as those, such as Fitzmyer, who support a later dating.
Furthermore, this study also required knowledge of those scholars who propose dates that do not fall into these main categories. The research demonstrated that by looking at the Book of Acts of the Apostles as the key starting point, the synoptic gospels were most likely composed before 70 CE, therefore, supporting scholars who argue for an earlier date.
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Netiwaranon, Siriwan. "The effect of harvest date on the composition and quality of macadamia nuts /." [St. Lucia, Qld.], 2002. http://www.library.uq.edu.au/pdfserve.php?image=thesisabs/absthe16323.pdf.
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Abdoh, Yousef. "Chemical composition and antioxidant activity of date palm Fruit (Phoenix dactylifera) in Saudi Arabia." Thesis, University of Nottingham, 2018. http://eprints.nottingham.ac.uk/51308/.
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Dates are the fruit of the palm, which the Greeks call “Phoenix”, a word taken from the Phoenician language. Saudi Arabia is currently one of the largest dates producing countries in the world. There are several varieties of dates grown in Saudi Arabia. Date fruits contain compounds that are potentially bioactive, with many health benefits; for example, vitamin E, carotene (precursor for vitamin A) and phenolic compounds. Dates represent an excellent source of antioxidants due to their high concentrations of phenolic compounds as well as the presence of selenoproteins. Moreover, dates are also potentially a very good source of several minerals in fact; there are at least 15 minerals found in dates. The work presented in this thesis will determine the nutritional composition of nineteen varieties of dates sourced from four, environmentally diverse, regions in Saudi Arabia. These varieties were selected because of their popularity, economical price, as well as availability during the year. The results indicated that the range of moisture contents (10% - 30%) found within the four regions were quite similar. For levels of fat, protein and ash all varied significantly between varieties but were all very low. Carbohydrate content was variable between samples (70 - 80%). The results indicated that glucose and fructose concentrations in theses Saudi dates were generally similar and the present of sucrose being normally associated with a corresponding reduction in the level of glucose and fructose. Potassium was the major mineral found in all the varieties with concentrations as high as 1173.29 mg/100g. The mean values for phosphorus in the dates from the different regions were close to each other. The amount of selenium was generally very low in all varieties and some did not contain any selenium at all. It would appear that it is variety and not region of production that has the major impact on nutritional composition. Moreover, this research will also determine the antioxidant capacity and phenolic content of a sub-set of these varieties at four different stages of ripening. Results showed that the levels of phenolics, anthocyanin and antioxidant capacity all decreased throughout development in all the seven selected varieties. There were strong correlations between this antioxidant capacity and the total phenolic and anthocyanin levels suggesting that these are major contributors to this nutritional property of dates. A preliminary screen tentatively identified some phenolic compounds and indicates that there may be some compositional variation between date varieties.
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Wotherspoon, Katherine. "The effect of phosphorus addition and cutting date on the nutrient dynamics and species composition of floodplain meadows." Thesis, Open University, 2015. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.757703.
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Shenasi, Mariam H. "Studies on the formation of mycotoxins, microbial interaction and biochemical composition during ripening stages of different cultivars of date fruit from the United Arab Emirates." Thesis, Glasgow Caledonian University, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.251239.
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Hizbai, Biniam T. "Comparative Mapping of QTLs Affecting Oil Content, Oil Composition, and other Agronomically Important Traits in Oat (Avena sativa L.)." Thèse, Université d'Ottawa / University of Ottawa, 2012. http://hdl.handle.net/10393/23481.
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Groat oil content and composition are important quality traits in oats (Avena sativa L). These traits are controlled by many genes with additive effects. The chromosomal regions containing these genes, known as quantitative trait loci (QTL), can be discovered through their close association with markers. This study investigated total oil content and fatty acid components in an oat breeding population derived from a cross between high oil ('Dal') and low oil ('Exeter') parents. A genetic map consisting of 475 DArT (Diversity Array Technology) markers spanning 1271.8 cM across 40 linkage groups was constructed. QTL analysis for groat oil content and composition was conducted using grain samples grown at Aberdeen, ID in 1997. QTL analysis for multiple agronomic traits was also conducted using data collected from hill plots and field plots in Ottawa, ON in 2010. QTLs for oil content, palmitic acid (16:0), stearic acid (18:0), oleic acid (18:1), linoleic acid (18:2) and linolenic acid (18:3) were identified. Two of the QTLs associated with oil content were also associated with all of the fatty acids examined in this study, and most oil-related QTL showed similar patterns of effect on the fatty acid profile. These results suggest the presence of pleiotropic effects on oil-related traits through influences at specific nodes of the oil synthesis pathway. In addition, 12 QTL-associated markers (likely representing nine unique regions) were associated with plant height, heading date, lodging, and protein content. The results of this study will provide information for molecular breeding as well as insight into the genetic mechanisms controlling oil biosynthesis in oat.
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Dunauskaitė, Rimantė. "Linijinių ir hibridinių rapsų žiemojimo ypatumai šiltėjančio rudens periodo sąlygomis." Master's thesis, Lithuanian Academic Libraries Network (LABT), 2011. http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2011~D_20110603_114440-43883.
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Lauko eksperimentai atlikti 2009 – 2010 m. Lietuvos žemės ūkio universiteto bandymų stotyje, kur dirvožemis yra karbonatingas sekliai glėjiškas išplautžemis (Calc(ar)i-Epihypogleyic Luvisol). Mūsų tyrimo tikslas buvo nustatyti žieminių rapsų sėjos laiko poveikį rudens skrotelės cheminei sudėčiai ir augalų peržiemojimui. Skirtingu laiku sėtų žieminių rapsų skrotelės cheminė sudėtis turėjo įtakos augalų žiemojimui – tarp šių požymių buvo nustatyti įvairaus stiprumo statistiškai patikimi priklausomumai. Linijinės ‘Sunday‘ veislės rapsų skrotelės cheminė sudėtis stipriau įtakojo peržiemojimo proc., palyginus su hibridine ‘Kronos‘ veisle. Geriau peržiemojo hibridinės veislės rapsai (ypač sėti vėliau) – 39,2–77,0 proc. augalų, negu linijinės veislės – 12,8–54,0 proc. Geriausia žieminiai rapsai peržiemojo sėti rugpjūčio 30 - rugsėjo 5. Jie lapuose sukaupė 15,23-18,14% sausųjų medžiagų, 4,61-5,69% bendrojo cukraus, N ir K santykis lapuose buvo 1,64-1,76. Viršūniniame pumpure – 18,01-19,68% sausųjų medžiagų, 6,00-8,49% bendrojo cukraus, N ir K santykis buvo 1,49-1,69 ir šaknyse – 17,46-18,37% sausųjų medžiagų, 7,71-10,30% bendrojo cukraus, N ir K santykis buvo 1,05-1,56. Hibridinės veislės rapsai, ypač sėjant juos vėliau, intensyviau ruošiasi žiemojimui. Rapsų peržiemojimas priklausė nuo skrotelės cheminės sudėties: sausųjų medžiagų ir bendrojo cukraus kiekio, bei nuo N ir K santykio.The experiment carried out in the Experimental Station of Lithuanian University of Agriculture in 2009 – 2010. The soil is shallow calcareous Luvisols (Calc(ar)i-Epihypogleyic Luvisol). The aim of our investigation was to determine the effect of sowing time of winter oilseed rape on autumn rosette chemical composition and over-wintering. Chemical composition of rossete of winter rape sown at different time influenced crop over-wintering – significant correlation between this indicators was established. The stronger influence of the winter rape rosette composition on over-wintering was established in rape of linear cultivar ‘Sunday‘ than in rape of hybrid cultivar ‘Kronos‘.Winter rape of hybrid cultivar over-wintered better – 39, 2–77,0%, winter rape of linear cultivar – 12,8–54,0%. Winter rape sown on 30 August – 5 September best over-wintered. They acumulated 15,23–18,14% of dry matter, 4,61–5,69% of total sugar, N and K ratio was 1,64–1,76 in leaves, and in apical bud – 18,01–19,68% of dry matter, 6,00–8,49% of total sugar, N and K ratio was 1,49–1,69 and in roots – 17,46-18,37% of dry matter, 7,71-10,30% of total sugar, N and K ratio was 1,05-1,56. Winter rape of hybrid cultivar sown at later dates prepared for over-wintering more intensively. Winter rape of both cultivars sown at the latest date not over-wintered. Over-wintering depended winter rape rosette on the chemical composition: dry matter and total sugar content, and the N and K ratio.
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Morais, Joanna. "Impact of media investments on brands’ market shares : a compositional data analysis approach." Thesis, Toulouse 1, 2017. http://www.theses.fr/2017TOU10040/document.
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L’objectif de cette thèse CIFRE, réalisée avec la société d’études de marché BVA en collaboration avec le constructeur automobile Renault, est de mesurer l’impact des investissements media pour différents canaux (télévision, affichage, etc.) sur les parts de marché de différentes marques, en prenant en compte la concurrence et les potentiels effets croisés et synergies entre ces marques, ainsi qu’en tenant compte du prix des véhicules, du contexte réglementaire (i.e. prime à la casse), et des effets retard de la publicité.Nous avons puisé dans les littératures marketing et statistique pour développer, comparer et interpréter plusieurs modèles qui respectent la contrainte de somme unitaire des parts de marché. Une application concrète au marché automobile français est présentée, pour laquelle nous montrons que les parts de marché des marques sont plus ou moins sensibles aux investissements publicitaires consentis dans chaque canal, et qu’il existe de synergies entre certaines marquesThe aim of this CIFRE thesis, realized with the market research institute BVA in collaboration with the automobile manufacturer Renault, is to build a model in order to measure the impact of media investments of several channels (television, outdoor, etc.) on the brands’ market shares, taking into account the competition and the potential cross effects and synergies between brands, as well as accounting for the price, the regulatory context (scrapping incentive), and the lagged effects of advertising. We have drawn from marketing and statistical literatures to develop, compare and interpret several models which respect the unit sum constraint of market shares. A practical application to the French automobile market is presented, for which it is shown that brands’ market shares are more or less sensitive to advertising investments made in each channel, and that synergies between brands exist
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Meyer, Harald, and Dominik Kuropka. "Requirements for service composition." Universität Potsdam, 2005. http://opus.kobv.de/ubp/volltexte/2009/3309/.
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Kuropka, Dominik, and Harald Meyer. "Survey on Service Composition." Universität Potsdam, 2005. http://opus.kobv.de/ubp/volltexte/2009/3378/.
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It is predicted that Service-oriented Architectures (SOA) will have a high impact on future electronic business and markets. Services will provide an self-contained and standardised interface towards business and are considered as the future platform for business-to-business and business-toconsumer trades. Founded by the complexity of real world business scenarios a huge need for an easy, flexible and automated creation and enactment of service compositions is observed. This survey explores the relationship of service composition with workflow management—a technology/ concept already in use in many business environments. The similarities between the both and the key differences between them are elaborated. Furthermore methods for composition of services ranging from manual, semi- to full-automated composition are sketched. This survey concludes that current tools for service composition are in an immature state and that there is still much research to do before service composition can be used easily and conveniently in real world scenarios. However, since automated service composition is a key enabler for the full potential of Service-oriented Architectures, further research on this field is imperative. This survey closes with a formal sample scenario presented in appendix A to give the reader an impression on how full-automated service composition works.
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Shin, Jungmin. "Data transform composition for efficient information integration." [Gainesville, Fla.] : University of Florida, 2009. http://purl.fcla.edu/fcla/etd/UFE0024907.
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Buarque, Hugo Leonardo de Brito. "Prediction of gasoline properties from composition data." Universidade Federal do CearÃ, 2006. http://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=172.
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AgÃncia Nacional do PetrÃleoCommercial gasolines are normally produced by blending hydrocarbon fractions obtained from the distillation of crude oil or from other petrochemical or refining processes, and carried through in order to comply with a variety of legal and ambient specifications at minimum cost. The quality for the use and commercialization of gasolines is evaluated through certain characteristics specified by governmental regulation. Such characteristics are usually determined by different methodologies and experimental techniques, since those depend on their constituents and their respective concentrations with a high complexity. Thus, blending of gasolines in petrochemical and refining industries is sometimes a very laborious procedure. The prediction of fuel properties from composition data is growing in importance in the last few years. Methods of group contribution have been used in the last decades to predict properties of pure organic compounds and some mixture parameters (e.g., UNIFAC). However, most of the recent studies use artificial neural networks as a technique for prediction for fuel properties using the composition of classes of constituents or key-compounds as input data. The main advantage of a neural network is its capacity to extract general and unknown information for certain series of data (training), supplying useful and fast models for prediction. However, the use of neural networks trained to predict properties of fuels produced from one given combination of petroleum fractions can not be suitable in the prediction of the characteristics of other gasolines produced from other origins due to the complexity and variability of gasoline composition. In this study, methods of multiple linear regression and artificial neural networks have been evaluated in the correlation and prediction of gasoline properties from information of composition obtained by gas chromatography, as well as a methodology for prediction of properties using a hybrid method composed of neural networks and group contribution. The developed model is evaluated and compared to other methods, revealing to be sufficiently promising for prediction of properties of pure components and complex mixtures.
As gasolinas comerciais sÃo normalmente produzidas a partir de combinaÃÃes de fraÃÃes oriundas da destilaÃÃo do petrÃleo ou de outros processos petroquÃmicos e de refino e realizadas de modo a atender uma variedade de especificaÃÃes legais e ambientais, com o mÃnimo de custo possÃvel. A qualidade para o uso e comercializaÃÃo de uma gasolina à avaliada atravÃs de certas caracterÃsticas especificadas por leis e normas governamentais. Estas caracterÃsticas sÃo normalmente determinadas por diferentes metodologias e tÃcnicas experimentais, haja vista que dependem dos seus constituintes e suas respectivas concentraÃÃes com uma complexidade bastante elevada, tornando a formulaÃÃo da gasolina originada em refinarias e petroquÃmicas, um procedimento muitas vezes bastante laborioso. O intuito de se predizer propriedades de derivados de petrÃleo a partir de dados de composiÃÃo à antigo e vem crescendo em importÃncia nos Ãltimos anos. MÃtodos de contribuiÃÃo de grupos tÃm sido utilizados ao longo das Ãltimas dÃcadas para predizer propriedades de compostos orgÃnicos puros e alguns parÃmetros de misturas (e.g., UNIFAC). Entretanto, a maior parte dos estudos mais recentes utiliza redes neurais artificiais como tÃcnica para prediÃÃo de propriedades de combustÃveis usando a composiÃÃo de grupos de compostos ou mesmo de compostos-chave como informaÃÃo de entrada. A principal vantagem de uma rede neural à sua capacidade de extrair informaÃÃes gerais e desconhecidas para certa sÃrie de dados (treinamento), fornecendo modelos de prediÃÃo Ãteis e rÃpidos tanto para sistemas lineares como nÃo-lineares. PorÃm, dada a complexidade e variabilidade dos constituintes das gasolinas, a utilizaÃÃo de redes neurais treinadas para modelar as propriedades destes combustÃveis produzidos a partir de uma dada combinaÃÃo de fraÃÃes petrolÃferas pode nÃo se adequar na prediÃÃo das caracterÃsticas de gasolinas obtidas a partir de uma outra origem. Neste estudo, mÃtodos de regressÃo linear mÃltipla e redes neurais artificiais foram avaliados na correlaÃÃo e prediÃÃo de propriedades de gasolinas a partir de informaÃÃes de composiÃÃo obtidas por cromatografia gasosa, como tambÃm foi desenvolvida uma metodologia de prediÃÃo de propriedades utilizando um mÃtodo hÃbrido de redes neurais e contribuiÃÃo de grupos. O modelo desenvolvido à avaliado e comparado aos demais, mostrando-se bastante promissor para prediÃÃo de propriedades de componentes puros e misturas mais complexas.
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McNeile, Ashley. "Protocol modelling : synchronous composition of data and behaviour." Thesis, Birkbeck (University of London), 2016. http://bbktheses.da.ulcc.ac.uk/331/.
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This thesis develops and explores a technique called Protocol Modelling, a mathematics for the description of orderings. Protocol Modelling can be viewed as a hybrid of object orientation, as it supports ideas of data encapsulation and object instantiation; and process algebra, as it supports a formally defined idea of process and process composition. The first half of the thesis focuses on describing and defining the Protocol Modelling technique. A formal denotational semantics for protocol machines is developed and used to establish various properties; in particular that composition is closed and preserves type safety. The formal semantics is extended to cover instantiation of objects. Comparison is made with other process algebras and an approach to unification of different formulations of the semantics of process composition is proposed. The second half of the thesis explores three applications of Protocol Modelling: Object Modelling. This explores the use of Protocol Modelling as a medium for object modelling, and the facility to execute protocol models is described. Protocol Modelling is compared with other object modelling techniques; in particular by contrasting its compositional style with traditional hierarchical inheritance. Protocol Contracts. This proposes the use of protocol models as a medium for expressing formal behavioural contracts. This is compared with more traditional forms of software contract in the generalization of the notion of contractual obligation as a mechanism for software specification. Choreographed Collaborations. In this application Protocol Modelling is used as a medium to describe choreographies for asynchronous multiparty collaborations. A compositional approach to choreography engineering, enabled by the synchronous semantics of Protocol Modelling, is explored and results established concerning sufficient conditions for choreography realizability. The results are extended to address choreographies that employ behavioural rules based on data.
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Qi, Jiaguo. "Compositing multitemporal remote sensing data." Diss., The University of Arizona, 1993. http://hdl.handle.net/10150/186327.
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In order to reduce the problems of clouds, atmospheric variations, view angle effects, and the soil background variations in the high temporal frequency AVHRR data, a compositing technique is usually employed. Current compositing techniques use a single pixel selection criterion of outputting the input pixel of maximum value NDVI. Problems, however, exist due to the use of the NDVI classifier and to the imperfection of the pixel selection criteria of the algorithm itself. The NDVI was found not to have the maximum value under an ideal observation condition, while the single pixel selection criterion favors the large off-nadir sensor view angles. Consequently, the composited data still consist of substantial noise. To further reduce the noise, several data sets were obtained to study these external factor effects on the NDVI classifier and other vegetation indices. On the basis of the studies of these external factors, a new classifier was developed to further reduce the soil noise. Then, a new set of pixel selection criteria was proposed for compositing. The new compositing algorithm with the new classifier was used to composite two AVHRR data sets. The alternative approach showed that the high frequency noises were greatly reduced, while more valuable data were retained. The proposed alternative compositing algorithm not only further reduced the external factor related noises, but also retained more valuable data. In this dissertation, studies of external factor effects on remote sensing data and derived vegetation indices are presented in the first four chapters. Then the development of the new classifier and the alternative compositing algorithm were described. Perspectives and limitations of the proposed algorithms are also discussed.
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Bester, Marina. "Physical and nutrient composition data of animal source foods." Diss., University of Pretoria, 2017. http://hdl.handle.net/2263/63216.
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It has long been recognised that, as part of a balanced, moderate diet, animal source foods
(ASFs) offer a wide range of benefits to human health. For many years our ancestors made ASFs
part of the human diet by following their basic human instinct to hunt and eat animal flesh in
order to survive. It is however important to understand that the challenges surrounding ASFs
consumption in South Africa are multi-faceted. South Africa is a country rich in diversity but
poor when it comes to the general populations’ health. With a high prevalence of malnutrition
in the forms of both under and over nutrition, it is clear that the consumption of adequate
amounts of nutrient dense foods such as ASFs, is often lacking in diets of many South Africans.
These nutrients include iron, zinc, high quality protein and B-vitamins.
Large parts of the South African population lives in poverty and cannot adhere to the current
national food-based dietary guidelines. One of these guidelines recommends that animal
source foods could be consumed every day. Affordable animal source foods, such as organ
meats (offal), and the potential nutritional contribution thereof were further investigated in
this study. This study found that all analysed lamb and mutton organ meats from the fifth quarter of the carcass have the potential to contribute significantly to selected nutrients that
were analysed and should be included in national dietary guidelines.
However assessing consumption of animal source foods (ASFs) and setting product specific
guidelines can be a challenging task without accurate quantitative data on the physical
composition, edible portions and yield factors of ASFs. Physical composition, edible portions
and yield factors of different cooked marketplace servings (retail cuts) of lamb, chicken, beef,
lamb offal, mutton offal and some processed meat products were determined in this study. This
study further demonstrated the use of this dataset as a tool when communicating product
specific and easy to understand dietary recommendations, set by the South African nutrition
fraternity. The tools and data compiled in this study can further be utilised by policy makers,
health professionals, the food service industry and economists to effectively evaluate, predict
and measure consumption of animal source foods in South Africa.Dissertation (MSc)--University of Pretoria, 2017.
South African Meat Processors Association
Animal and Wildlife Sciences
MSc
Unrestricted
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Lee, Joungmin. "A New Music Composition Technique using Natural Science Data." The Ohio State University, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1557005560251117.
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陳志昌 and Chee-cheong Chan. "Compositional data analysis of voting patterns." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1993. http://hub.hku.hk/bib/B31977236.
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Brunsdon, T. M. "Time series analysis of compositional data." Thesis, University of Southampton, 1987. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.378257.
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Chan, Chee-cheong. "Compositional data analysis of voting patterns." [Hong Kong : University of Hong Kong], 1993. http://sunzi.lib.hku.hk/hkuto/record.jsp?B13787160.
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Chen, Lu. "A Diffusion Model for Compositional Data." Kent State University / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=kent1478642808748389.
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BENSOUDA, M. OUSSAMA. "Composition chimique et proprietes nutritionnelles de la datte phoenix dactylifera." Strasbourg 1, 1991. http://www.theses.fr/1991STR15060.
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Brink, Pontus. "Dissection of a Generative Network for Music Composition." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-260961.
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Controlling what a neural network generates has had great success when applied in the image domain. This thesis explores the performance of similar methods but instead applied in music generation. WaveNET, a state of the art neural network in audio synthesis and generation is trained using Generative Adversarial Networks to produce piano music. Two different methods for controlling the generation are presented, named HARD and SOFT. The HARD method fails to produce music of the same quality as without control. The SOFT method generates music of the same perceptual quality as without control but fails to control the output of the network. Finally, a discussion why this might be, and ideas regarding other methods for controlling the generation of music, and sequences in general are presented.Att kontrollera vad ett neuralt nätverk genererar har haft stor framgång när det applicerats på bilddomänen. Detta examensarbete undersöker hur liknande metoder fungerar i musikgenerering. Med hjälp av generativa motverkande nätverk tränar vi WaveNET, ett toppmodernt nätverk i ljudsyntes och generation, för att producera pianomusik. Två olika metoder för att styra genereringen presenteras, vid namn HARD och SOFT. Metoden HARD misslyckas med att producera musik av samma kvalitet som utan kontroll. Metoden SOFT skapar musik av samma perceptuella kvalitet som utan kontroll, men misslyckas med att styra genereringen. Vi diskuterar varför det här kan vara och presenterar idéer för andra metoder för att styra genereringen av musik och sekvenser i allmänhet.
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Rajapaksage, Jayampathi S. "Data Aggregation through Web Service Composition in Smart Camera Networks." Digital Archive @ GSU, 2010. http://digitalarchive.gsu.edu/cs_theses/69.
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Distributed Smart Camera (DSC) networks are power constrained real-time distributed embedded systems that perform computer vision using multiple cameras. Providing data aggregation techniques that is criti-cal for running complex image processing algorithms on DSCs is a challenging task due to complexity of video and image data. Providing highly desirable SQL APIs for sophisticated query processing in DSC networks is also challenging for similar reasons. Research on DSCs to date have not addressed the above two problems. In this thesis, we develop a novel SOA based middleware framework on a DSC network that uses Distributed OSGi to expose DSC network services as web services. We also develop a novel web service composition scheme that aid in data aggregation and a SQL query interface for DSC net-works that allow sophisticated query processing. We validate our service orchestration concept for data aggregation by providing query primitive for face detection in smart camera network.
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Thomas, Lorraine. "Estimating phytoplankton growth rates from compositional data /." Online version of original thesis, 2008. http://hdl.handle.net/1912/2255.
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倪鴻文 and Hung-man Ngai. "Estimation of parameters in incomplete compositional data." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1987. http://hub.hku.hk/bib/B31208836.
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Thomas, Lorraine (Lorraine Marie). "Estimating phytoplankton growth rates from compositional data." Thesis, Massachusetts Institute of Technology, 2008. http://hdl.handle.net/1721.1/43755.
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Thesis (S.M.)--Joint Program in Biological Oceanography (Massachusetts Institute of Technology, Dept. of Biology; and the Woods Hole Oceanographic Institution), 2008."February 2008."
Includes bibliographical references (p. 133).
I build on the deterministic phytoplankton growth model of Sosik et al. by introducing process error, which simulates real variation in population growth and inaccuracies in the structure of the matrix model. Adding a stochastic component allows me to use maximum likelihood methods of parameter estimation. I lay out the method used to calculate parameter estimates, confidence intervals, and estimated population growth rates, then use a simplified three-stage model to test the efficacy of this method with simulated observations. I repeat similar tests with the full model based on Sosik et al., then test this model with a set of data from a laboratory culture whose population growth rate was independently determined. In general, the parameter estimates I obtain for simulated data are better the lower the levels of stochasticity. Despite large confidence intervals around some model parameter estimates, the estimated population growth rates have relatively small confidence intervals. The parameter estimates I obtained for the laboratory data fell in a region of the parameter space that in general contains parameter sets that are difficult to estimate, although the estimated population growth rate was close to the independently determined value.
by Lorraine Thomas.
S.M.
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Kartasev, Mart. "Integrating Reinforcement Learning into Behavior Trees by Hierarchical Composition." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-263608.
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This thesis investigates ways to extend the use of Reinforcement Learning (RL) to Behavior Trees (BTs). BTs are used in the field of Artificial Intelligence (AI) in order to create modular and reactive planning agents. While human designed BTs are capable of reacting to changes in an environment as foreseen by an expert, they are not capable of adapting to new scenarios. The focus of the thesis is on using existing general-purpose RL methods within the framework of BTs. Deep Q-Networks (DQN) and Proximal Policy Optimisation (PPO) were embedded into BTs, using RL implementations from an open-source RL library. The experimental part of the thesis uses these nodes in a variety of scenarios of increasing complexity, demonstrating some of the benefits of combining RL and BTs. The experiments show that there are benefits to using BTs to control a set of hierarchically decomposed RL sub-tasks for solving a larger problem. Such decomposition allows for reuse of generic behaviors in different parts of a BT. By decomposing the RL problem using a BT, it is also possible to identify and replace problematic parts of a policy, as opposed to retraining the entire policy.Den här uppsatsen undersöker sätt att utvidga användningsområdet för förstärkningsinlärning (RL) till beteendeträd (BT). BT används inom fältet artificiell intelligens (AI) för att skapa modulära och reaktiva planerande agenter. BT skapade av människor kan reagera på förändringar i en värld på ett sätt som har förutsetts av en expert, men de är inte kapabla att anpassa sig till nya scenarier. Fokuset i den här uppsatsen ligger på att använda existerande RL-metoder inom ramverket för BT. Djupa Q-nätverk (DQN) och Proximal Policy Optimisation (PPO) har bäddats in i BT, där RL-implementationerna kommer från ett bibliotek som har öppen källkod. Experimenten visar att det finns fördelar med att använda BT för att kontrollera en mängd av hierarkiskt uppdelade RL-deluppgifter för att lösa ett större problem. En sådan uppdelning tillåter mer allmänna beteenden att återanvändas i olika delar av ett BT. Genom att dela upp RL-problemet med hjälp av ett BT så är det också möjligt att identifiera och ersätta problematiska delar av en policy, till skillnad från att träna om hela policyn.
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Ahmad, Hussien, and Salah Dowaji. "Linked-OWL: A new approach for dynamic linked data service workflow composition." Webology, 2013. http://hdl.handle.net/10150/299603.
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The shift from Web of Document into Web of Data based on Linked Data principles defined by Tim Berners-Lee posed a big challenge to build and develop applications to work in Web of Data environment. There are several attempts to build service and application models for Linked Data Cloud. In this paper, we propose a new service model for linked data "Linked-OWL" which is based on RESTful services and OWL-S and copes with linked data principles. This new model shifts the service concept from functions into linked data things and opens the road for Linked Oriented Architecture (LOA) and Web of Services as part and on top of Web of Data. This model also provides high level of dynamic service composition capabilities for more accurate dynamic composition and execution of complex business processes in Web of Data environment.
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Nguyen, Xuan Thang. "Agent-based QoS management for web service compositions." Australasian Digital Theses Program, 2008. http://hdl.handle.net/1959.3/36611.
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Thesis (PhD) - Swinburne University of Technology, 2008.Submitted for the degree of Doctor of Philosophy, Swinburne University of Technology - 2008. Typescript. Includes bibliographical references (p. 187-200).
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Zheng, Zhilin. "Learning Group Composition and Re-composition in Large-scale Online Learning Contexts." Doctoral thesis, Humboldt-Universität zu Berlin, 2017. http://dx.doi.org/10.18452/18412.
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Die Erforschung der Zusammenstellung kleiner Lerngruppen beschäftigt sich mit dem Problem, eine passende Gruppenzusammensetzung in einer Population von Lernern zu finden, die jeder Gruppe optimalen Nutzen bringen könnte. In letzter Zeit sind viele Studien zu diesem Problem der Kleingruppenzusammenstellung durchgeführt worden. Allerdings waren diese Forschungen nur selten auf den Kontext großer Lerner-Populationen ausgerichtet. Angesichts des zunehmenden Aufkommens von MOOCs muss jedoch das Problem der Gruppenzusammenstellung entsprechend erweitert betrachtet werden, und zwar mit neuen Forschungen, die den Kontext derartig großer Lerner-Populationen berücksichtigen. Anders als in Klassenzimmer-Settings könnte die beobachtete hohe Abbruchquote in MOOCs in einer Unterbesetzung der Gruppengröße resultieren und könnte somit viele Lerner dazu bringen, neue Gruppen zu bilden. Zusätzlich zur Gruppenzusammenstellung muss daher die Gruppenneuzusammenstellung als neues Thema in aktuellen Kontexten großer Lerner-Populationen ebenfalls erforscht werden.
Die Untersuchungen der vorliegenden Arbeit gliedern sich in zwei Teile. Der erste Teil beschäftigt sich mit Gruppenzusammenstellung. In diesem Teil stelle ich einen diskreten-PSO Algorithmus zur Zusammenstellung kleiner Lerngruppen vor und vergleiche bislang bestehende Gruppenzusammenstellungs-Algorithmen unter den Gesichtspunkten Zeitaufwand und Gruppierungsqualität. Um Gruppenzusammenstellung in MOOCs anzuwenden wurde ein Gruppenzusammenstellungsexperiment in einem MOOC durchgeführt. Die Hauptergebnisse deuten darauf hin, dass die Gruppenzusammenstellung die Abbruchsquote reduzieren kann, jedoch lediglich einen sehr schwachen Bezug zur Lernperformanz der Lerner aufweist. Der zweite Teil beschäftigt sich mit Gruppenneuzusammenstellung. Die vorliegende Arbeit stellt eine datengesteuerte Herangehensweise vor, die umfassenden Gebrauch von Gruppeninteraktionsdaten macht sowie Gruppendynamik mit einbezieht. Mittels einer in einem Simulationsexperiment durchgeführten Evaluation zeigen sich die Vorteile dieses Verfahrens: Der Lerngruppenzusammenhalt wird verbessert und die Abbruchsquote im Vergleich zu einer Zufallsverteilung reduziert. Darüberhinaus wurde hier ein Gruppen-Lern-Werkzeug entwickelt und für die Praxis vorbereitet, das die Anforderungen des geforderten Ansatzes der Gruppenneuzusammenstellung erfüllt.Small learning group composition addresses the problem of seeking such matching among a population of students that it could bring each group optimal benefits. Recently, many studies have been conducted to address this small group composition problem. Nevertheless, the focus of such a body of research has rarely been cast to large-scale contexts. Due to the recent come of MOOCs, the topic of group composition needs to be accordingly extended with new investigations in such large learning contexts. Different from classroom settings, the reported high drop-out rate of MOOCs could result in group’s incompletion in size and thus might compel many students to compose new groups. Thus, in addition to group composition, group re-composition as a new topic needs to be studied in current large-scale learning contexts as well. In this thesis, the research is structured in two stages. The first stage is group composition. In this part, I proposed a discrete-PSO algorithm to compose small learning groups and compared the existing group composition algorithms from the perspectives of time cost and grouping quality. To implement group composition in MOOCs, a group composition experiment was conducted in a MOOC. The main results indicate that group composition can reduce drop-out rate, yet has a very weak association with students’ learning performance. The second stage is to cope with group re-composition. This thesis suggests a data-driven approach that makes full use of group interaction data and accounts for group dynamics. Through evaluation in a simulation experiment, it shows its advantages of bringing us more cohesive learning groups and reducing the drop-out rate compared to a random condition. Apart from these, a group learning tool that fulfills the goals of the proposed group re-composition approach has been developed and is made ready for practice.
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Maier, Marco J. "DirichletReg: Dirichlet Regression for Compositional Data in R." WU Vienna University of Economics and Business, 2014. http://epub.wu.ac.at/4077/1/Report125.pdf.
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Dirichlet regression models can be used to analyze a set of variables lying
in a bounded interval that sum up to a constant (e.g., proportions, rates,
compositions, etc.) exhibiting skewness and heteroscedasticity, without
having to transform the data.
There are two parametrization for the presented model, one using the common
Dirichlet distribution's alpha parameters, and a reparametrization of the
alpha's to set up a mean-and-dispersion-like model.
By applying appropriate link-functions, a GLM-like framework is set up that
allows for the analysis of such data in a straightforward and familiar way,
because interpretation is similar to multinomial logistic regression.
This paper gives a brief theoretical foundation and describes the
implementation as well as application (including worked examples) of
Dirichlet regression methods implemented in the package DirichletReg (Maier,
2013) in the R language (R Core Team, 2013). (author's abstract)Series: Research Report Series / Department of Statistics and Mathematics
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Zaidi, Fatima Sehar. "Development of statistical monitoring procedures for compositional data." Thesis, Nantes, 2020. http://www.theses.fr/2020NANT4006.
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La Maîtrise Statistique des Procédés (MSP) est une méthodologie largement utilisée, basée sur la mise en oeuvre des cartes de contrôle, permettant de s'assurer de la stabilité du processus et d'améliorer sa capabilité grâce à la réduction de la variabilité du processus. La sélection d'une carte de contrôle appropriée dépend du type et de la distribution des données. Lorsqu'il existe plusieurs caractéristiques de qualité, des cartes de contrôle multivariées doivent être adoptées. Mais il existe une catégorie spécifique de données multivariées qui sont contraintes par définition et connues sous le nom de données compositionnelles (CoDa). Le but de cette thèse est de proposer et d'étudiersystématiquement de nouvelles cartes de contrôle pour les données compositionnelles qui n'ont pas encore été proposées jusqu'à présent dans la littérature. La carte de contrôle de Hotelling T2-CoDa en présence d'erreur de mesure et la carte de contrôle MEWMA-CoDa en présence d'erreur de mesure ont été proposées surveiller des données compositionnelles. En outre, certaines méthodes non paramétriques pour la surveillace de données compositionnelles ont également été proposés. Les performances de chaque carte de contrôle ont été étudiées et les paramètres optimaux ont été systématiquement évalués. Des exemples de données compositionnelles réelles ont été utilisés afin d'étudier les performances des cartes proposéesStatistical Process Monitoring (SPM) is a widely used methodology, based on the implementation of control charts, for achieving process stability and improving capability through the reduction of the process variability. The selection of a suitable control chart depends on the type and distribution of he data. When there are several quality characteristics, multivariate control charts have to be adopted. But there is a specific category of multivariate data which are constrained by definition and known as Compositional Data (CoDa). This thesis makes an attempt to systematically propose new control charts for the for compositional data that have not yet been proposed so far in the literature. Hotelling T2-CoDa control chart in the presence of measurement error and MEWMACoDa control chart in the presence of measurement error has been proposed for compositional data. Furthermore, some nonparametric charts to monitor compositional data has also been proposed. The performance of each control chart has been studied and the optimal parameters have systematically been evaluated. Real life compositional data examples have been used in order to study the performances of the proposed charts
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Boenn, Georg. "Automated analysis and transcription of rhythm data and their use for composition." Thesis, University of Bath, 2011. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.538138.
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Lamprecht, Anna-Lena, Tiziana Margaria, and Bernhard Steffen. "Bio-jETI : a framework for semantics-based service composition." Universität Potsdam, 2009. http://opus.kobv.de/ubp/volltexte/2010/4506/.
Full textAbstract:
Background:
The development of bioinformatics databases, algorithms, and tools throughout the last years has lead to a highly distributedworld of bioinformatics services. Without adequatemanagement and development support, in silico researchers are hardly able to exploit the potential of building complex, specialized analysis processes from these services. The Semantic Web aims at thoroughly equipping individual data and services with machine-processable meta-information, while workflow systems support the construction of service compositions. However, even in this combination, in silico researchers currently would have to deal manually with the service interfaces, the adequacy of the semantic annotations, type incompatibilities, and the consistency of service compositions.
Results:
In this paper, we demonstrate by means of two examples how Semantic Web technology together with an adequate domain modelling frees in silico researchers from dealing with interfaces, types, and inconsistencies. In Bio-jETI, bioinformatics services can be graphically combined to complex services without worrying about details of their interfaces or about type mismatches of the composition. These issues are taken care of at the semantic level by Bio-jETI’s model checking and synthesis features. Whenever possible, they automatically resolve type mismatches in the considered service setting. Otherwise, they graphically indicate impossible/incorrect service combinations. In the latter case, the workflow developermay either modify his service composition using semantically similar services, or ask for help in developing the missing mediator that correctly bridges the detected type gap. Newly developed mediators should then be adequately annotated semantically, and added to the service library for later reuse in similar situations.
Conclusion:
We show the power of semantic annotations in an adequately modelled and semantically enabled domain setting. Using model checking and synthesis methods, users may orchestrate complex processes from a wealth of heterogeneous services without worrying about interfaces and (type) consistency. The success of this method strongly depends on a careful semantic annotation of the provided services and on its consequent exploitation for analysis, validation, and synthesis. We are convinced that these annotations will become standard, as they will become preconditions for the success and widespread use of (preferred) services in the Semantic Web
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McGinnis, Jo Kathryn Dittmar. "Computers in composition at the University of Arizona." Diss., The University of Arizona, 1989. http://hdl.handle.net/10150/184660.
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The University of Arizona Composition Program has demonstrated that computers can be integrated successfully into composition instruction. Administrators and instructors are preparing to offer students in second-semester Freshman Composition (English 102) a computer-integrated course of instruction as the equipment and facilities become available. Chapter I relates how current research shows that computers offer support to current theories in composition and that they can be utilized in all the various processes involved with producing university writing. It explores the problems program directors and university administrators face in providing computer technology to undergraduates in writing courses. Chapter II compares the reactions of Southern Arizona Writing Project teacher-participants with freshman students in a pilot section of English 102 at the University of Arizona and with comparable undergraduates at other universities as they learn to use word processors as a tool for writing. Some differences between the older SAWP participants and the undergraduates were observed, especially a greater computer anxiety and a greater of urgency to learn about computers. The SAWP participants had less time to become proficient computer writers than did the freshmen. All these factors probably contributed to their lower success rate as computer writers. Nevertheless, a large majority of all ages of computer writers recognize the benefits of using word processors for writing and even those SAWP participants who made only limited progress expressed a sense of satisfaction at having mastered the machine. Chapter III describes ways that computer writing and strategies of collaborative learning and peer review were adapted to the syllabus of English 102 in a pilot class at the University of Arizona. Students reacted favorably to both computers and to the teaching strategies. However, the vision of total computer integration resulting in a paper-free writing course cannot be achieved without either restructuring the syllabus or acquiring substantially improved computer facilities, especially through networked workstations and computerized classrooms.
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Xia, Fan, and 夏凡. "Some topics on statistical analysis of genetic imprinting data and microbiome compositional data." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2014. http://hdl.handle.net/10722/206673.
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Genetic association study is a useful tool to identify the genetic component that is responsible for a disease. The phenomenon that a certain gene expresses in a parent-of-origin manner is referred to as genomic imprinting. When a gene is imprinted, the performance of the disease-association study will be affected. This thesis presents statistical testing methods developed specially for nuclear family data centering around the genetic association studies incorporating imprinting effects. For qualitative diseases with binary outcomes, a class of TDTI* type tests was proposed in a general two-stage framework, where the imprinting effects were examined prior to association testing. On quantitative trait loci, a class of Q-TDTI(c) type tests and another class of Q-MAX(c) type tests were proposed. The proposed testing methods flexibly accommodate families with missing parental genotype and with multiple siblings. The performance of all the methods was verified by simulation studies. It was found that the proposed methods improve the testing power for detecting association in the presence of imprinting. The class of TDTI* tests was applied to a rheumatoid arthritis study data. Also, the class of Q-TDTI(c) tests was applied to analyze the Framingham Heart Study data.
The human microbiome is the collection of the microbiota, together with their genomes and their habitats throughout the human body. The human microbiome comprises an inalienable part of our genetic landscape and contributes to our metabolic features. Also, current studies have suggested the variety of human microbiome in human diseases. With the high-throughput DNA sequencing, the human microbiome composition can be characterized based on bacterial taxa relative abundance and the phylogenetic constraint. Such taxa data are often high-dimensional overdispersed and contain excessive number of zeros. Taking into account of these characteristics in taxa data, this thesis presents statistical methods to identify associations between covariate/outcome and the human microbiome composition. To assess environmental/biological covariate effect to microbiome composition, an additive logistic normal multinomial regression model was proposed and a group l1 penalized likelihood estimation method was further developed to facilitate selection of covariates and estimation of parameters. To identify microbiome components associated with biological/clinical outcomes, a Bayesian hierarchical regression model with spike and slab prior for variable selection was proposed and a Markov chain Monte Carlo algorithm that combines stochastic variable selection procedure and random walk metropolis-hasting steps was developed for model estimation. Both of the methods were illustrated using simulations as well as a real human gut microbiome dataset from The Penn Gut Microbiome Project.published_or_final_version
Statistics and Actuarial Science
Doctoral
Doctor of Philosophy
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Rice, Richard Aaron. "Teaching and learning first-year composition with digital portfolios." Virtual Press, 2002. http://liblink.bsu.edu/uhtbin/catkey/1239209.
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The purpose of this study was to begin to define and describe some of the complex intersections between teaching and learning first-year composition with digital portfolios, focusing on the construction, presentation, and assessment processes in one first-year composition course at Ball State University. The study employed a qualitative ethnographic methodology with case study, and used grounded theory to develop a resultant guide to code the data collected through several methods: observation, interview, survey, and artifact assessment.The resultant coding guide included the core categories "reflective immediacy," "reflexive hypermediacy," and "active remediation." With the guide findings indicate several effective "common tool" digital portfolio strategies for both teachers and learners. For teachers: introduce the digital portfolio as early in the course as possible; make connections between digital portfolios and personal pedagogical strategies; highlight rhetorical hyperlinking and constructing navigational schemes; emphasize scalability; create a sustainable support system. For learners: consider the instructor's objectives within the framework of the portfolio; synthesize writing process with course content and portfolio construction; include each component of the writing process in the portfolio.Department of English
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Hooman, Jozef. "Specification and compositional verification of real time systems /." Berlin [u.a.] : Springer, 1991. http://www.loc.gov/catdir/enhancements/fy0815/91041783-d.html.
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Fuschi, Alessandro. "Compositional data analysis applied to human microbiome network reconstruction." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2020. http://amslaurea.unibo.it/21711/.
Full textAbstract:
The comprehension of the human gut microbiome has been made possible by technological advances for performing culture-independent analyzes. Next Generation Sequencing techniques produce discrete counts as a result, describing only the relative abundances of each identified bacterial species: such data are of compositional type. Unfortunately the classic methods of analysis on this type of data can lead to completely wrong conclusions: the development of analysis methods for compositional data is still an open issue.
The purpose of this work is the description of several analyzes based on compositional data of human gut microbiome. The first result, obtained with t-SNE dimensionality reduction algorithm, is that a different sample clustering was obtained based on the metrics used to define neighborhood. Next ,I applied a biomarker identification method based on the log-ratio variance, a statistical observable used with compositional data, that allowed to identify bacterial species associated to our case/control study design. In the last part I analyzed the problem of the reconstruction of networks of bacterial species. The main objective of the network analysis was to characterize microbiota ecosystem of healthy and infected subjects in our database. Several methods have been proposed to characterize the complex relationships between bacterial populations: in this work I applied the SPIEC-EASI method to reconstruct the correlation structure of the data, and compared the different results obtained. Finally, I propose a new method inspired by Kendall’s Tau correlation, adapted to the peculiarities of compositional data, that provided promising results.
This research was made possible thanks to the collaboration with Prof. George Weinstock at the Jackson Laboratory research center (USA). One of the researche aims of JAX is the study and understanding of the gut microbiota for diagnostic purposes (in our case related to infection and diabetes).
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Sammut, Fiona. "Using generalized linear models to model compositional response data." Thesis, University of Warwick, 2016. http://wrap.warwick.ac.uk/89876/.
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This work proposes a multivariate logit model which models the influence of explanatory variables on continuous compositional response variables. This multivariate logit model generalizes an elegant method that was suggested previously by Wedderburn (1974) for the analysis of leaf blotch data in the special case of J = 2, leading to our naming this new approach as the generalized Wedderburn method. In contrast to the logratio modelling approach devised by Aitchison (1982, J. Roy Stat. Soc. B.), the multivariate logit model used under the generalized Wedderburn approach models the expectation of a compositional response variable directly and is also able to handle zeros in the data. The estimation of the parameters in the new model is carried out using the technique of generalized estimating equations (GEE). This technique relies on the specification of a working variance-covariance structure. A working variance-covariance structure which caters for the specific variability arising in compositional data is derived. The GEE estimator that is used to estimate the parameters of the multivariate logit model is shown to be invariant to the values of the correlation and dispersion parameters in the working variance-covariance structure. Due to this invariance property and the fact that the estimating equations used under the generalized Wedderburn method are linear and unbiased, the GEE estimator achieves full efficiency across a wide class of potential dispersion and correlation matrices for the compositional response variables. As for any other GEE estimator, the estimator used in the generalized Wedderburn method is also asymptotically unbiased and consistent, provided that the marginal mean model specification is correct. The theoretical results derived in this thesis are substantiated by simulation experiments, and properties of the new model are also studied empirically on some classic datasets from the literature.
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Al-Trad, Anas. "Optimized Composition of Parallel Components on a Linux Cluster." Thesis, Linköpings universitet, Institutionen för datavetenskap, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-86204.
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We develop a novel framework for optimized composition of explicitly parallel software components with different implementation variants given the problem size, data distribution scheme and processor group size on a Linux cluster. We consider two approaches (or two cases of the framework). In the first approach, dispatch tables are built using measurement data obtained offline by executions for some (sample) points in the ranges of the context properties. Inter-/extrapolation is then used to do actual variant-selection for a given execution context at run-time. In the second approach, a cost function of each component variant is provided by the component writer for variant-selection. These cost functions can internally lookup measurements' tables built, either offline or at deployment time, for computation- and communication-specific primitives. In both approaches, the call to an explicitly parallel software component (with different implementation variants) is made via a dispatcher instead of calling a variant directly. As a case study, we apply both approaches on a parallel component for matrix multiplication with multiple implementation variants. We implemented our variants using Message Passing Interface (MPI). The results show the reduction in execution time for the optimally composed applications compared to applications with hard-coded composition. In addition, the results show the comparison of estimated and measured times for each variant using different data distributions, processor group and problem sizes.
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Mitchell, David J. "A Performance Guide and Analysis of Compositional Techniques in Selected Percussion Music of Dave Maric." Thesis, The University of North Carolina at Greensboro, 2018. http://pqdtopen.proquest.com/#viewpdf?dispub=10639934.
Full textAbstract:
The aim of this study is to provide insight into the percussion music of Dave Maric through an analysis of a trilogy of pieces with backing track, Trilogy (2000), Sense & Innocence (2002/2014), and Thrice Into Flames (2017). The present study examines Maric’s influences, analyzes his compositional style, and provides a performance guide. Brief biographical information is provided to introduce Maric. His compositional style is examined by analyzing tonal language and formal structures. The tonal language of these pieces combines octatonic scales and diatonic scales. In terms of form, Maric uses mathematical sequences to determine proportions between sections, including the Fibonacci sequence. The performance guide includes sticking suggestions, transcriptions of backing track cues, and additional comments.
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Savsin, Selen. "The skill composition in the light of sourcing:offshoring and inshoring." Licentiate thesis, Örebro universitet, Handelshögskolan vid Örebro Universitet, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-35277.
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Keller, Jens. "Clustering biological data using a hybrid approach : Composition of clusterings from different features." Thesis, University of Skövde, School of Humanities and Informatics, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-1078.
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Clustering of data is a well-researched topic in computer sciences. Many approaches have been designed for different tasks. In biology many of these approaches are hierarchical and the result is usually represented in dendrograms, e.g. phylogenetic trees. However, many non-hierarchical clustering algorithms are also well-established in biology. The approach in this thesis is based on such common algorithms. The algorithm which was implemented as part of this thesis uses a non-hierarchical graph clustering algorithm to compute a hierarchical clustering in a top-down fashion. It performs the graph clustering iteratively, with a previously computed cluster as input set. The innovation is that it focuses on another feature of the data in each step and clusters the data according to this feature. Common hierarchical approaches cluster e.g. in biology, a set of genes according to the similarity of their sequences. The clustering then reflects a partitioning of the genes according to their sequence similarity. The approach introduced in this thesis uses many features of the same objects. These features can be various, in biology for instance similarities of the sequences, of gene expression or of motif occurences in the promoter region. As part of this thesis not only the algorithm itself was implemented and evaluated, but a whole software also providing a graphical user interface. The software was implemented as a framework providing the basic functionality with the algorithm as a plug-in extending the framework. The software is meant to be extended in the future, integrating a set of algorithms and analysis tools related to the process of clustering and analysing data not necessarily related to biology.
The thesis deals with topics in biology, data mining and software engineering and is divided into six chapters. The first chapter gives an introduction to the task and the biological background. It gives an overview of common clustering approaches and explains the differences between them. Chapter two shows the idea behind the new clustering approach and points out differences and similarities between it and common clustering approaches. The third chapter discusses the aspects concerning the software, including the algorithm. It illustrates the architecture and analyses the clustering algorithm. After the implementation the software was evaluated, which is described in the fourth chapter, pointing out observations made due to the use of the new algorithm. Furthermore this chapter discusses differences and similarities to related clustering algorithms and software. The thesis ends with the last two chapters, namely conclusions and suggestions for future work. Readers who are interested in repeating the experiments which were made as part of this thesis can contact the author via e-mail, to get the relevant data for the evaluation, scripts or source code.
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Cutler, Mark E. J. "Assessing variation in the relationship between remotely sensed data and canopy chlorophyll composition." Thesis, University of Southampton, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.243166.
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Bryant, Donald. "ANALYSIS OF KOLMOGOROV'S SUPERPOSITION THEOREM AND ITS IMPLEMENTATION IN APPLICATIONS WITH LOW AND HIGH DIMENSIONAL DATA." Doctoral diss., University of Central Florida, 2008. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/2578.
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In this dissertation, we analyze Kolmogorov's superposition theorem for high dimensions. Our main goal is to explore and demonstrate the feasibility of an accurate implementation of Kolmogorov's theorem. First, based on Lorentz's ideas, we provide a thorough discussion on the proof and its numerical implementation of the theorem in dimension two. We present computational experiments which prove the feasibility of the theorem in applications of low dimensions (namely, dimensions two and three). Next, we present high dimensional extensions with complete and detailed proofs and provide the implementation that aims at applications with high dimensionality. The amalgamation of these ideas is evidenced by applications in image (two dimensional) and video (three dimensional) representations, the content based image retrieval, video retrieval, de-noising and in-painting, and Bayesian prior estimation of high dimensional data from the fields of computer vision and image processing.Ph.D.
Department of Mathematics
Sciences
Mathematics PhD
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Olding, Christine Jane. "Welcome to the Glitter Daze." University of Dayton / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1398695990.
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Guadiana, Juan M. "Best Source Selection on Encrypted Data." International Foundation for Telemetering, 2006. http://hdl.handle.net/10150/604139.
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ITC/USA 2006 Conference Proceedings / The Forty-Second Annual International Telemetering Conference and Technical Exhibition / October 23-26, 2006 / Town and Country Resort & Convention Center, San Diego, CaliforniaThe size of the range at White Sands means multiple acquisition sites are needed to properly cover a typical vehicle trajectory. As vehicle complexity increase, the need for robust acquisition grows. Multiple acquisition sites are needed to provide as complete coverage as practical. Space Diversity combining would provide a single composite source for all the displays and recording, but this is not practical due to the large distances between acquisition sites. Instead a composite is made from the various sites by correlation on non-encrypted (or decrypted) data. The previous best source selector, a frame synch histogrammer, could produce encrypted and decrypted composites. Some of our customers have missed the encrypted composites, hence the subject is revisited to encourage development. This paper reviews post decryption correlation and then focuses on correlating on encrypted data. The encryption serves to eliminate the ambiguities that are inherent in decrypted (nonencrypted) signals. So, it may be possible to accomplish this with a small correlator. The expected performance would be similar to that of correlated composites on decrypted or unencrypted data. The typical configuration would be considerably smaller as well since only two decrypters would be needed. One decrypter alone would be insufficient and could not resolve the case where only one site has data and the remaining sites have noise. When there is no correlation the correct site cannot be resolved. Testing these compositing methods is also discussed, as a good test method also provides insight on how the compositor should work.
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Mathur, Vinod B. "The ecological interaction between habitat composition, habitat quality and abundance of some wild ungulates in India." Thesis, University of Oxford, 1991. https://ora.ox.ac.uk/objects/uuid:1763e5fe-e3d7-405c-9f7f-1ba3d8bc7a54.
Full textAbstract:
The ecological interrelationships between the habitat composition, habitat quality and abundance of three wild ungulate species, viz. Chital (Axis axis), Sambar (Cervus unicolor) and Nilgai (Boselaphus tragocamelus) were investigated in three National Parks in India. The study sites differ in the structure and composition of the habitat and also occur along a rainfall gradient. The study incorporates a new approach of using forest compartments for gathering baseline ecological data. The significance of these compartments in serving as ecological bench-marks for monitoring habitat condition has been demonstrated. Toe-point transect, a modification of the point-intercept method has been extensively used to obtain rapid, reliable but coarse ecological data on ground and aerial cover and the results obtained are compared with those from the visual estimation method. Motorcycle and foot-based line transects have been used to obtain data on animal abundance. The significance of the results indicating that motorcycle transects are an efficient and reliable means of estimating the abundance of Chital and Nilgai, while foot transects provide more reliable estimates of Sambar abundance is discussed. Data on 22 habitat variables were gathered in the summer and winter seasons from all the study sites and were statistically analysed using Generalized Linear Interactive Modelling (GLIM) procedures. The habitat requirements of the three ungulate species have been determined, which enhance our understanding of the complex herbivore-habitat relationships. Analyses of habitat selection, central to the understanding of animal ecology, has been done to understand the mechanisms which permit species to co-exist. The results indicate that the three species are ecologically separated and that resource partitioning is achieved primarily by habitat partitioning. Sambar, a forest ungulate, largely occurs in the forest-woodland habitats; Chital, a species of the habitat 'edge', occurs in the woodland-grassland habitats while Nilgai prefers the miscellaneousopen and grassland habitats. The three ungulate species together contribute more than 78% to the total wild ungulate biomass. This is presumably because these species are by nature generalist and are able to exploit the unpredictable resources more efficiently than specialist species. The differential biomass/rainfall relationships of three species observed in the study have been explained on the basis of habitat requirements and feeding strategies adopted by these species. The ecological biogeography of the three ungulate species has been discussed and their ecological equivalents in Africa have been examined. The significance of above in enhancing our understanding of evolutionary biology is discussed. The study has shown that habitat composition is an all-important factor in large herbivore biology and that animal density may be used as an indicator of habitat quality.
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Allain, James D. "Comparison of nutrient data obtained through laboratory analysis with results generated by diet analysis software programs to determine a valid method for evaluating the nutrient content of select menu items at Pizza King, Inc." Virtual Press, 2005. http://liblink.bsu.edu/uhtbin/catkey/1327788.
Full textAbstract:
The purpose of this research study was to test the validity of three diet analysis programs — Food Processor, Diet Analysis Plus 7.0 Online, and NutritionData.com — by comparing results of each program to the nutrient data from an independent food science lab for menu items served at Pizza King, Inc. restaurants.NutritionData.com had a slightly higher positive correlation, as well as more nutrient values within 10% of the chemical analyses, than ESHAs Food Processor. However, due to several ancillary factors (e.g., limited data base, inability to save laboratory-obtained data into a permanent database, and the minimal cost for the program for a company the size of Pizza King), this researcher has recommended ESHA Food Processor to Pizza King for the current and future analyses of their menu items. Diet Analysis Plus 7.0 Online could not be tested because the program did not generate analyzable results.Department of Family and Consumer Sciences