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Amerian, Irsa. "Improving data-driven decision making through data democracy : Case study of a Swedish bank." Thesis, Linnéuniversitetet, Institutionen för informatik (IK), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-105868.
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Nowadays, becoming data-driven is the vision of almost all organizations. However, achieving this vision is not as easy as it may look like and there are many factors that affect, enable, support and sustain the data-driven ecosystem in an organization. Among these factors, this study focuses on data democracy which can be defined as the intra-organizational open data that aims to empower the employees getting faster and easier access to data in order to benefit from the business insight they need without the interfere of external help. In the existing literature, while the importance of becoming data-driven has been widely discussed, when it comes to data democracy within organizations, there is a noticeable gap. As a result, this master’s thesis aims to justify the importance and role of the data democracy in becoming a data-driven organization, focusing on the case of a Swedish bank. Additionally, it intends to provide extra investigation on the role of data analytics tools in achieving data democracy. The results of the study show that there is a strong connection between the benefits of the empowering different actors of the organization with the needed data knowledge, and the speeding up of the data-driven transformation journey. Based on the study, shared data and the availability of data to a larger number of stakeholders inside an organization result into a better understanding of different aspects of the problems, simplify the data-driven decision making and make the organization more data-driven. In the process of becoming data-driven, the organizations should provide the analytics tools not only to the data specialists but even to the non-data technical people. And by offering the needed support, training and collaboration possibilities between the two groups of employees (data specialists and non-data specialists), it should be attempted to enable the second group to extract the insight from the data, independently from the help of the data scientists. An organization can succeed in the path of becoming data-driven when they invest on the reusable capabilities of its employees, by discovering the data science skills across various departments and turning their domain experts into citizen data scientists of the organization.
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Wright, Michelle Christine. "Social Media Data Strategies Bankers Use to Increase Customer Market Share." ScholarWorks, 2019. https://scholarworks.waldenu.edu/dissertations/7356.
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Banking leaders who fail to implement social media data-driven marketing strategies lose opportunities to increase customer market share through customer acquisition and retention, improved customer service, heightened brand awareness, customer cocreation, and relationship management. The purpose of this multiple case study was to explore strategies banking leaders used to integrate social media analytics into marketing strategies to increase customer market share. The target population was 6 senior bankers from 2 banks in the mid-Atlantic region of the United States, with a significant social media presence, including 25,000 or more followers across 2 social media platforms. The disruptive innovation theory served as the conceptual framework for the study. Data were collected from semistructured interviews and a review of the organizations' public business documents, websites, and social media websites. Data were analyzed using coding to determine themes. By analyzing these sources and performing methodological triangulation, 8 key themes emerged that were categorized into 4 groupings: (a) social media knowledge management, (b) social media marketing strategy implementation, (c) social media data challenges and communication, and (d) social media competitive gain and future enhancements. The implications of this study for positive social change include social and environmental benefits such as creating jobs and economic growth through a corporate social responsibility initiative. Current and prospect customer bases, local communities, bankers, and stakeholders might benefit from the findings of this study.
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Weast, Jennifer Mintao. "IMPROVING BICYCLE INFRASTRUCTURE WITH THE USE OF BICYCLE SHARE TRAVEL DATA." UKnowledge, 2019. https://uknowledge.uky.edu/ce_etds/92.
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Bicycling as a mode of transportation has been increasing in recent years due to its environmental and health benefits. The availability of bicycles through bicycle share programs has made bicycling a more viable option. With this increase, there is a need for complementary improvements of bicycle infrastructure. Many local and regional transportation agencies are recognizing this need and developing a master plan or safety action plan to improve the city’s bicycle and walking facilities. This study examines bicycle travel demands and travel patterns in Lexington, Kentucky as generated by SPIN bicycle share users. It is hypothesized that the SPIN users emulate bicycle users on and around the University of Kentucky campus. Therefore, analyzing their travel patterns will provide a valuable understanding of bicycle demand and infrastructure needs. To identify such demand, travel patterns and routes were compared to the existing bicycle infrastructure in order to determine improvement needs with an ulterior goal to increase bicycling as a mode of transportation. The methods of study include five levels of analysis: length and duration, temporal, climatic, point density, and modeling. Recommendations for improving routes and parking facilities have been developed based on analytical methods and results obtained. The findings support the notion that bicycle infrastructure influences the travel paths cyclists take. The research supports the idea that commuters are using SPIN bicycles to chain their trips with transit and completing the last or first section of the trip with a bicycle. It was found that bicycle travel demand fluctuates with weather patterns. Furthermore, future work could use the existing data and conduct a detailed analysis on the individual trip level to determine what percentage of a completed trip was taken on an existing bicycle facility or on a non-facility. These findings should aid transportation planning and city officials to make decisions for expanding the existing bicycle network in efforts to minimize the percentage of cyclists who take a detour and the length of detours when necessary.
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Hunt, Amber Michelle. "Data Envelopment Analysis: An Alternative Approach to Ohio's State Share of Instruction Allocation." University of Akron / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=akron1403855659.
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Höler, Lisa Marie, and zu Hörste Christin Meyer. "Customer data in the European fashion industry : Investigation of students’ willingnessto share customer data in the fashion e-commerce." Thesis, Högskolan i Borås, Akademin för textil, teknik och ekonomi, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-10195.
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The present thesis aims to investigate students’ willingness to share customer data in the fashion e-commerce. Special attention is given to the way trust, benefits and law regulations are discussed in this context. An inductive approach was applied utilizing focus group discussions. The goal of the empirical study was to gain insights in the way students argue about customer data and which feelings are involved. The study highlights findings in the key areas trust, benefits and law regulations. A shift of customer trust from brands to recommendations could be observed. In terms of benefits, focus group participants tend to choose value exchange over traditional rewards. Findings regarding law regulations suggest that the General Data Protection Regulation of the European Union can provide control of customer data but no security. Furthermore, consumer behavior plays an important role when it comes to data sharing attitudes. The experiences and observations of the participants may not be applicable to other studies. Furthermore, the study findings are bounded to the European Union. The findings suggest that trust, benefits and law regulations can influence students’ willingness to share customer data in the fashion e-commerce. The study is unique of its kind as it investigates the willingness to share customer data with the focus on students and fashion e-commerce. Hence, this research paper fills a gap in scientific literature and is valuable for businesses operating in the fashion e-commerce.
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Mansour, Osama. "Share with Social Media : The Case of a Wiki." Licentiate thesis, Linnéuniversitetet, Institutionen för datavetenskap, fysik och matematik, DFM, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-11430.
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Traditional approaches to knowledge collaboration and sharing have proven to be limited in the sense of addressing organizational needs of dynamic and distributed knowledge. More recently, the emergence of social media and the second generation of web technologies have introduced new ways and possibilities for sharing knowledge in organizations. In particular, the wiki technology, as one type of social media, is argued to mark a shift in the way people collaborate and share knowledge with each other on the web. It represents a new, open style of knowledge collaboration and sharing which allows anyone to freely and openly create and shape knowledge. In this respect, organizations have been attracted by this new dynamic approach which is based on open collaboration and flexible participation. More organizations are using wikis in order to effectively leverage distributed knowledge and improve their competitive edge. Against this backdrop, this research is concerned with examining how such organizations use social media, the wiki technology in particular, for sharing knowledge among individuals and groups. The aim is twofold: to develop an understanding of the ways by which these individuals and groups exchange and share knowledge with each other and to identify different factors that influence knowledge collaboration and sharing using a wiki in an organizational setting. The research is based on three published research papers which provide both theoretical and empirical accounts of knowledge collaboration and sharing using wikis. To these ends of this research, an interpretive case study was used as an empirical research method with interviews as primary sources of data. Several other data sources have been triangulated during the empirical inquiry including field visits, observations, and documents. The case took place at a large multinational organization that used a wiki as a collaborative platform to support knowledge sharing among members of several professional communities of practice. Eventually, the outcome of the research is a thorough understanding that describes knowledge collaboration and sharing using a wiki as a dynamic social process involving recursive and dynamic social interactions among members of communities of practice through which knowledge is collaboratively constructed and reconstructed and thus shared. It also presents a dual impact of wiki openness on knowledge collaboration and sharing within organizations.
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Romolo, Alessandro. "Development and implementation of a S/W platform to automatically receive and share satellite data." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2014. http://amslaurea.unibo.it/7642/.
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Relazione del lavoro di creazione e implementazione della piattaforma software che sviluppa l’archivio del progetto SATNET.
I satelliti universitari hanno un tempo di vista della propria Stazione di Terra di pochi minuti al giorno: SATNET risponde all’esigenza di comunicare con un satellite universitario in orbita bassa per più dei pochi minuti al giorno che una singola Stazione di Terra permette. Questo avviene grazie a una rete di Stazioni di Terra Satellitari collegate da specifiche missioni comuni che mettono in condivisione dati ricevuti da uno o più satelliti, aumentando il rendimento dati/giorno di questi e permettendo una migliore fruizione delle Stazioni di Terra stesse. Il network sfrutta Internet come canale di connessione, e prevede la presenza di un archivio nel quale memorizzare i dati ricevuti, per poi renderne possibile la consultazione e il recupero.
Oggetto di questo lavoro di tesi è stato lo sviluppo e l’implementazione di tale archivio: utilizzando un sito web dinamico, il software risponde a tutte le richieste evidenziate nel paragrafo precedente, permettendo a utenti autenticati di inserire dati e ad altri di poterne avere accesso.
Il software è completo e funzionante ma non finito, in quanto manca la formulazione di alcune richieste; per esempio non è stato specificato il tipo di informazioni che è possibile caricare in upload, né il tipo di campi richiesti nel modulo di registrazione dei vari utenti. In questi casi sono stati inseriti campi generici, lasciando all’utente la possibilità di modificarli in seguito.
Il software è stato dunque concepito come facilmente personalizzabile e modificabile anche da utenti inesperti grazie alla sola lettura della tesi, che rappresenta quindi una vera e propria guida per l’utilizzo, l’installazione, la personalizzazione e la manutenzione della piattaforma software.
La tesi evidenzia gli obiettivi e le richieste, mostrando l’aspetto del sito web e le sue funzionalità, e spiega passo per passo il procedimento per la modifica dell’aspetto delle pagine e di alcuni parametri di configurazione. Inoltre, qualora siano necessarie modifiche sostanziali al progetto, introduce i vari linguaggi di programmazione necessari allo sviluppo e alla programmazione web e aiuta l’utente nella comprensione della struttura del software.
Si conclude con alcuni suggerimenti su eventuali modifiche, attuabili solo a seguito di un lavoro di definizione degli obiettivi e delle specifiche richieste.
In futuro ci si aspetta l’implementazione e la personalizzazione del software, nonché l’integrazione dell’archivio all’interno del progetto SATNET, con l’obiettivo di migliorare e favorire la diffusione e la condivisione di progetti comuni tra diverse Università Europee ed Extra-Europee.
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Kim, Hyoungtae. "Reliability modeling with load-shared data and product-ordering decisions considering uncertainty in logistics operations." Diss., Available online, Georgia Institute of Technology, 2004:, 2004. http://etd.gatech.edu/theses/available/etd-04072004-121539/unrestricted/kim%5Fhyoungtae%5F200405%5Fphd.pdf.
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Thesis (Ph. D.)--Industrial & Systems Engineering, Georgia Institute of Technology, 2004.Erera, Alan, Committee Member ; Liang, Peng, Committee Member ; Hayter, Anthony, Committee Member ; Lu, Jye-Chyi, Committee Co-Chair ; Kvam, Paul, Committee Co-Chair. Vita. Includes bibliographical references (leaves 79-83).
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Doctrinal, Laure. "Employability and Employment of Senior Workers in France and in Sweden, an Analysis of SHARE data." Thesis, Stockholms universitet, Sociologiska institutionen, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-81770.
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In parallel with the ageing of the European population, the number of senior workers (that is to say, workers aged 50 and more) is expected to increase in the decades to come. The necessity to maintain senior workers into the labor force (specially to support the sustainability of pensions system) combined with a general trend to delay the retirement age and with the current economical climate, makes the employment of senior workers a burning issue. Significant differences indeed exist between European countries. While Sweden has the highest senior employment rate, France has one of the lowest. The purpose of this paper is to determine whether these differences can be explained through differences in terms of employability. This multidimensional concept is here explored through the analysis of quantitative data collected by the Survey of Health, Aging and Retirement in Europe (SHARE). These data provide an updated version of the situation of senior employees in France and in Sweden and more specifically of their employability. Some indicators of the latter can be thus defined and will be used to look at differences or similarities between French and Swedish senior workers generally speaking and from a gender perspective. The results have confirmed the role of initial education and long-life training which contribute respectively to the employability capital of workers and affect positively the employment rates. Such indicators are the first steps in the definition of the employability, which make way for further researches opening the definition to the other part of the active labor force (that is to say, the unemployed).
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Hřebabecký, Jan. "Projekty pro sdílení dat na internetu typu Rapidshare se zaměřením na konkrétní vybraný projekt a jeho rozbor." Master's thesis, Vysoká škola ekonomická v Praze, 2010. http://www.nusl.cz/ntk/nusl-72146.
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The goal of the thesis is to analyse and coherently describe a branch that haven't been sufficiently described in professional literature yet. To reach this goal thesis uses author's experience with specific share server development and operation and puts it as an example on which it explains all the important attributes and dependencies. Diploma thesis is aimed to an issue of internet file sharing. In it's first part it describes file sharing in general including history of internet file sharing. Two case studies of the most popular but different share servers follow. The thesis aims on business, technical, social and legal aspects of file sharing using share servers. In it's practical part the thesis aims on the specific share server project and especially cares of process, business, technical and user aspects. Within the process part running processes and their meaning for the whole share server project are analysed. The business part describes the dependencies of profit and costs components on individual variable attributes of share server system a it's environment. The technical part focuses on hardware, software and network devices from which share server is composed. In the part which focuses on the user interface and usability author critically evaluates the actual state of share server's website and describes possible improvements especially in the area of usability. In the last part of the thesis author evaluates the current state of share servers branch and estimates it's future development.
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Di, Gessa Giorgio. "'Active ageing' and health : an exploration of longitudinal data for four European countries." Thesis, London School of Hygiene and Tropical Medicine (University of London), 2011. http://researchonline.lshtm.ac.uk/682446/.
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`Active Ageing' has been promoted by the World Health Organisation (WHO) as a strategy for promoting the health and well-being of older people. Keeping active and involved in a range of activities not restricted to those associated with labour market participation may, it has been suggested, be beneficial for older people. In this research three domains of `engagement' were considered: paid work, formal involvement (i. e. activities such as voluntary work, attendance at training courses and participation in political organisations) and informal involvement (i. e. activities such as providing care and help to family, and looking after grandchildren). Using the first two waves of the Survey of Health, Ageing and Retirement in Europe (SHARE) and the English Longitudinal Study of Ageing (ELSA), this thesis investigated both the cross-sectional association between socio-economic, demographic and health-related variables and engagement at baseline, and the longitudinal association between engagement at baseline and self-rated health (SRH) and depressive symptoms at follow-up (controlling for baseline measures of health). The analysis was based on sample members aged 50- 69 at baseline in Denmark, France, Italy and England, countries selected to represent different welfare regimes. Cross-sectional findings showed that levels of engagement in paid work and formal activities varied across countries, whereas socio-economic, demographic and healthrelated characteristics were similarly associated with engagement in all countries under study. This suggested that country-specific factors, such as retirement policies, might play an important role in determining older people's level of engagement in paid work. Cross-sectional results also suggested that work and formal engagement were associated with good health, whereas -among certain subpopulations -informal activities were associated with bad health. Longitudinal analyses showed that, in all countries, respondents in paid work at baseline were more likely to improve their SRH and less likely to become depressed than those who were `inactive'. Formal and informal engagement were not significantly associated with health at follow-up. Longitudinal results and associations found, however, might have been biased by the high rates of attrition, as multiple imputation techniques and sensitivity analyses suggested. The current research study confirms that engagement in work is an important pathway to health in late life. More attention, however, should be paid to people's working lives, the quality of work and work conditions as these may influence participation in, and withdrawal from, the labour market.
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Chan, Chi Seng. "Replicating Ou's (1990) information link using Hong Kong data : the prediction of changes in earnings per share." Thesis, University of Macau, 2000. http://umaclib3.umac.mo/record=b1636685.
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Syed, Murtaza. "Share prices, expected future profits and company investment : an econometric study using US and UK panel data." Thesis, University of Oxford, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.399464.
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Mendes, Artur Jorge Gonçalves. "Effect of European Sovereign debt crisis on banks’ stock market performances: application to Portuguese data." Master's thesis, NSBE - UNL, 2012. http://hdl.handle.net/10362/9574.
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A Work Project, presented as part of the requirements for the Award of a Masters Degree in Finance from the NOVA – School of Business and EconomicsThis paper studies the impact of the European sovereign debt crisis on Portuguese banks’ share prices. I employ an event study methodology to assess the behavior of banks’ share prices before, and after a credit rating announcement in relation to both the sovereign and the banks individually. I find that sovereign credit ratings have a significant impact on banks’ stock market returns while individual bank credit ratings seem to have little influence. This is probably due to the fact that banks’ credit ratings have been reflecting changes in sovereign ratings rather than any idiosyncratic factors of banks’ solvency. Among the rating agencies studied the most predominant is Standard & Poor’s. Furthermore, I find that the behavior of banks’ stock returns exhibit a certain degree of market inefficiency and anticipation.
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Sandholm, Thomas. "Statistical Methods for Computational Markets : Proportional Share Market Prediction and Admission Control." Doctoral thesis, KTH, Data- och systemvetenskap, DSV, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-4738.
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We design, implement and evaluate statistical methods for managing uncertainty when consuming and provisioning resources in a federated computational market. To enable efficient allocation of resources in this environment, providers need to know consumers' risk preferences, and the expected future demand. The guarantee levels to offer thus depend on techniques to forecast future usage and to accurately capture and model uncertainties. Our main contribution in this thesis is threefold; first, we evaluate a set of techniques to forecast demand in computational markets; second, we design a scalable method which captures a succinct summary of usage statistics and allows consumers to express risk preferences; and finally we propose a method for providers to set resource prices and determine guarantee levels to offer. The methods employed are based on fundamental concepts in probability theory, and are thus easy to implement, as well as to analyze and evaluate. The key component of our solution is a predictor that dynamically constructs approximations of the price probability density and quantile functions for arbitrary resources in a computational market. Because highly fluctuating and skewed demand is common in these markets, it is difficult to accurately and automatically construct representations of arbitrary demand distributions. We discovered that a technique based on the Chebyshev inequality and empirical prediction bounds, which estimates worst case bounds on deviations from the mean given a variance, provided the most reliable forecasts for a set of representative high performance and shared cluster workload traces. We further show how these forecasts can help the consumers determine how much to spend given a risk preference and how providers can offer admission control services with different guarantee levels given a recent history of resource prices.QC 20100909
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George, Mathew. "Development of a forecasting model of Indian road traffic scenario to predict road user share, injuries and fatalities." Thesis, Linköpings universitet, Statistik och maskininlärning, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-166130.
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According to the global status report on road safety 2018 by the World Health Organization (WHO), road accidents cause 1.35 million deaths annually world-wide, making it the eight leading cause of death. Road fatalities are caused due to multiple factors including rash driving, unsafe roads and vehicle failures. Developed countries have been able to control the road fatalities with planned infrastructure, safer vehicles and public awareness. According to the WHO report, low income countries own about 1% of the total vehicles but account for 13% of the road fatalities. In this thesis the traffic scenario in India is studied. India is a developing country and has the largest fatalities from road accidents. According to "Road Accidents in India - 2018", the annual report by the Ministry of Road Transport and Highways, Govt of India, Indian road accident deaths stood at 151,417which accounts for 11% of the total fatalities in the world due to road accidents. The present work aims to forecast the traffic scenario of India to predict the number of fatalities, accidents and the road user share for the years 2018 to 2050. The thesis aims to predict the number of fatalities and accidents on a macro level for the country of India based on various demographic and financial parameters. Empirical laws like Smeed’s law and Andreassen’s law, parametric regression methods, non-parametric regression methods and time-series analysis is conducted on the data and the results are analyzed. The thesis, with its predicted trends of road accidents, injuries, fatalities, and road user share aims to highlight the need for change in policy, vehicle design and increased public awareness. The predictions in this thesis would provide insights as to what road traffic scenario would be in terms of the road user share and the counts of road accidents and road accident fatalities, if no major intervention is done from the present scenario. The results of the thesis on a high-level indicate that the road fatalities would increase in the future. The thesis results also indicate a increased presence of two-wheelers in Indian road. These bring into focus the efforts needed to reduce the fatalities on road by different methods including improvements of safety in the vehicle fleet of the country. This work is done in partnership with Autoliv, a global automotive safety company with headquarters in Sweden, closely working with different stakeholders to support the Government of India to reduce the road accidents and related fatalities.
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Franke, Luciane. "Efeito China: impacto da China sobre as exportações de países selecionados da América Latina." Universidade do Vale do Rio dos Sinos, 2018. http://www.repositorio.jesuita.org.br/handle/UNISINOS/7017.
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CAPES - Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
A China tem firmado sua posição de protagonista no cenário mundial, enquanto que os países da América Latina parecem ainda não ter consolidado seu papel como exportadores de produtos industrializados. O crescimento chinês apresenta-se como um desafio para os países latino-americanos, especialmente, por dominar as exportações de produtos industrializados. Dessa forma, o objetivo deste trabalho é determinar o impacto do desempenho da China no comércio mundial sobre as exportações de produtos com conteúdo tecnológico de México, Brasil, Chile e Argentina. Para tanto, são definidos dois modelos: de competitividade, para identificar as implicações dos ganhos de market share da China, e deslocamento, para analisar o impacto do aumento das exportações chinesas. Utilizam-se exercícios econométricos de dados em painel, considerando-se as exportações de conteúdo tecnológico dos países selecionados, conforme a taxonomia de Pavitt (1984), para 52 parceiros comerciais. As estimativas identificaram que o efeito China está deslocando as exportações de México e Brasil. Quanto aos ganhos competitivos da China, as estatísticas estimadas revelaram baixos coeficientes de elasticidade para todos os países selecionados. Os resultados sugerem que a participação de mercado chinesa avança em níveis mais elevados que as exportações de México, Brasil, Chile e Argentina.
China has established its leading role on the world economy, while Latin American countries do not seem to have strengthened their role as exporters of industrialized products. Chinese economic growth is a challenge for the Latin American countries, especially because of the importance of the exports of industrialized products. Therefore, the aim of this work is to determine the impact of China's performance in world trade on the exports of products with technological content from Mexico, Brazil, Chile and Argentina. For this purpose, two models are defined: competitiveness, to identify the implications of China's market share gains, and displacement, to analyze the impact of the increase in Chinese exports. We applied the econometric exercise of panel data, considering the exports of technological content of the above-mentioned countries, according to the taxonomy of Pavitt (1984), for 52 commercial partners. Our results indicate that China’s exports displace exports from Mexico and Brazil. As for China's competitive gains, the estimated statistics revealed low coefficients of elasticity for all selected countries. The results suggest that Chinese market share is advancing at higher levels than exports from Mexico, Brazil, Chile and Argentina.
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Russell, Palmira Farinha. "Does the sales-to-price ratio possess more explanatory power in determining percentage share returns for JSE data compared to previously assessed variables?" Thesis, Stellenbosch : Stellenbosch University, 2004. http://hdl.handle.net/10019.1/49934.
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Thesis (MBA)--Stellenbosch University, 2004.ENGLISH ABSTRACT: A number of financial variables have received extensive attention from those analysts determined to obtain that significant set of variables that improve their forecasts of expected returns. Barbee. Mukherji and Raines (1996: 56-60) suggested that the focus shift to the sales-to-price (S/P) ratio. Their findings indicated that the S/P ratio exhibited greater explanatory power in assessing share returns on Standard and Poars (S&P) American data compared to those variables already in the spot light. This study focuses on a seventeen-year period extending from 1985 to 2002, and includes a sample of industrial sector JSE-listed companies. The set of variables assessed are referred to as the "explanatory variables" and include the following: • Debt-to-equity (D/E) ratio, • Book-to-market value (B/M) ratio, • Market value of equity (MVE) variable; and • Sales-to-price (S/P) ratio. Correlation tests and regression analyses on permutations of these explanatory variables against percentage share return data revealed the MVE variable to possess the dominant relationship with percentage share returns. All models were shown (through inference) to exhibit some validity, with the exception of that model which excluded the MVE variable as an independent variable. The coefficient of the B/M ratio becomes significant when combined with the MVE variable in a regression analysis, accounting for most of the explanatory power of the model. Results from this study were compared with those in Barbee, et al., (1996), Fricker (1996) and Mouton (1998). The comparison revealed that Barbee, et al., (1996) is the only study (of the authors considered) with sufficient evidence to infer significance in the S/P ratio as a more powerful explanatory variable for determining share returns. This study has therefore shown no support for the S/P ratio as an explanatory power in determining percentage share returns, based on JSE data. The MVE variable was instead shown to have the greatest explanatory power, specifically when combined with the BlM ratio.
AFRIKAANSE OPSOMMING: 'n Aantal finansiele veranderlikes het aansienlike aandag van die analiste gekry ten einde 'n betekenisvolle stel van veranderlikes daar te stel wat help om hul vooruitskattings van opbrengste te verbeter. Barbee, Mukherji and Raines (1996: 56-60) het voorgestel dat die fokus verskuif na die verkope tot prys (S/P) verhouding. Hul het bevind dat die S/P verhouding groter verduidelikingsvermoe het by die beoordeling van aandeel opbrengste op Standard en Poors (S&P) se Amerikaanse data as daardie veranderlikes wat reeds onder die soeklig was. Die studie fokus op 'n sewentienjaar-periode van 1985 tot 2002, en dek 'n monster van genoteerde industriele aandele op die Johannesburg se Effektebeurs. Hierdie stel veranderlikes word na verwys as die "verduidelikende veranderlikes" en sluit in: • Skuld tot aandeelhouersfondse (D/E) verhoudings, • Boek tot markwaarde (B/M) verhouding, • Markwaarde van aandeelhouersbelang (MVE) veranderlike, en • Verkope tot prys (S/P) verhouding. Korrelasietoetse en regressie-analises op permutasies van hierdie verduidelikende veranderlikes teenoor persentasie aandeel opbrengste het aangetoon dat die MVE die dominante veranderlike met die persentasie aandeel opbrengste getoon het. Alle modelle (deur gevolgtrekking) het 'n mate van betekenisvolheid openbaar, behalwe die model wat die MVE veranderlike as onafhanklike veranderlike uitgesluit het. Die koeffisient van die B/M verhouding het betekenisvol geword toe dit met die MVE-veranderlike in 'n regressie-analise gekombineer is, en wat dan die grootste gedeelte van die verduidelikingswaarde van die model verklaar. Die resultate van die studie is vergelyk met die van Barbee, et aI., (1996), Fricker (1996) en Mouton (1998). Die vergelyking het aangedui dat Barbee, et al., (1996) die enigste studie is (van die skrywers ondersoek) wat genoegsame getuienis verkry het om die belangrikheid van die S/P verhouding as 'n sterk veranderlike vir die aandeel opbrengste te verklaar. Hierdie studie kon dus geen ondersteuning vind dat die S/P verhouding as 'n verduidelikende veranderlike by die vasstelling van persentasie-opbrengste op die JSE data gebruik kan word nie. Daarenteen het die MVE-veranderlike die grootste voorspellingswaarde gehad, veral as dit gekombineer is met die B/M verhouding.
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Francq, Pascal. "Structured and collaborative search: an integrated approach to share documents among users." Doctoral thesis, Universite Libre de Bruxelles, 2003. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/211315.
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Aujourd'hui, la gestion des documents est l'un des problèmes les plus importants en informatique. L'objectif de cette thèse est de proposer un système de gestion documentaire basé sur une approche appelée recherche structurée et collaborative. Les caractéristiques essentielles sont :
Dès lors que les utilisateurs ont plusieurs centres d'intérêts, ils sont décrits par des profils, un profil correspondant à un centre d'intérêt particulier. C'est la partie structurée du système.
Pour construire une description des profils, les utilisateurs jugent des documents en fonction de leur intérêt
Le système regroupe les profils similaires pour former un certain nombre de communautés virtuelles
Une fois les communautés virtuelles définies, des documents jugés comme intéressants par certains utilisateurs d'une communauté peuvent être partagés dans toute la communauté. C'est la partie collaborative du système.
Le système a été validé sur plusieurs corpora de documents en utilisant une méthodologie précise et offre des résultats prometteurs.
Doctorat en sciences appliquées
info:eu-repo/semantics/nonPublished
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Brand, Rene. "An econophysical investigation : using the Boltzmann distribution to determine market temperature as applied to the JSE all share index." Thesis, Stellenbosch : University of Stellenbosch, 2009. http://hdl.handle.net/10019.1/879.
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Thesis (MBA (Business Management))--University of Stellenbosch, 2009.ENGLISH ABSTRACT: Econophysics is a relatively new branch of physics. It entails the use of models in physics applied to economics. The distributions of financial time series are the aspect most intensely studied by physicists. This study is based on a study by Kleinert and Chen who applied the Boltzmann distribution to stock exchange data to define a market temperature that may be used by investors to indicate an impending stock market crash. Most econophysicists’ analysed the tail regions of the distributions as the tails represent risk in financial data. This study’s focus of analysis, on the other hand is the characterisation of the central portion of the probability distribution. The Boltzmann distribution, a cornerstone in statistical physics, yields an exponential distribution. The objective of this study is to investigate the suitability of using a market volatility forecasting method from econophysics, namely the Boltzmann/market temperature method. As econometric benchmark the ARCH/GARCH method is used. Stock market indices are known to be non-normally (non-Gaussian) distributed. The distribution pattern of a stock market index of reasonable high sampling frequency (typically interday or intraday) is leptokurtic with heavy tails. Mesoscopic (interday) distributions of financial time series have been found to be exponential distributions. If the empirical exponential distribution is therefore interpreted as a Boltzmann distribution, then a market temperature can be calculated from the exponential distribution. Empirical data for this study is in the form of daily closing values of the Johannesburg Stock Exchange (JSE) All Share Index (ALSI) and the Standard & Poor 500 (S & P 500) index for the period 1995 through to 2008. The Kleinert and Chen study made use of intraday data obtained from established markets. This study differs from the Kleinert and Chen study in that interday data obtained from an emerging market, namely the South African stock market is used. Neither of the aforementioned two differences had a significant influence on the results of this study. The JSE ALSI log-return data displays non-Gaussian properties and the Laplace (double exponential) distribution fit the data well. A plot of the market temperature provided a clear indication of when stock market crashes occurred. Results of the econophysical (Boltzmann/market temperature) method compared well to results of the econometric (ARCH/GARCH) method and subject to certain improvements can be utilised successfully. A leptokurtic, non-Gaussian nature was established for daily log-returns of the JSE ALSI and the S & P 500 index. The Laplace (double exponential) distribution fit the annual logreturns of the JSE ALSI and S & P 500 index well. As a result of the good Laplace fit, annual market temperatures could be calculated for the JSE ALSI and the S & P 500 index. The market temperature method was effective in identifying market crashes for both indices, but a limitation of the method is that only annual market temperatures can be determined. The availability of intraday stock index data should improve the interval for which market temperature can be determined.
AFRIKAANSE OPSOMMING: Ekonofisika is ‘n relatiewe nuwe studieveld. Dit behels die toepassing van fisiese modelle op finansiële data. Die waarskynlikheidsversdelings van finansiële tydreekse is die aspek wat meeste deur fisisie bestudeer word. Hierdie studie is gebaseer op ‘n studie deur Kleinert en Chen. Hulle het die Boltzmann-verspreiding op ‘n aandele-indeks toegepas en ‘n mark-temperatuur bepaal. Hierdie mark-temperatuur kan deur ontleders gebruik word as waarskuwingsmeganisme teen moontlike aandelebeurs ineenstortings. Die meeste fisisie het die uiterste areas van die verspreidingskurwes geanaliseer omdat hierdie uiterste area risiko in finansiële data verteenwoordig. Die analitiese fokus van hierdie studie, aan die ander kant, is die karakterisering van die die sentrale areas van die waarskeinlikheidsverdeling. Die Boltzmann verspreiding, die hoeksteen van Statistiese Fisika lewer ‘n eksponensiële waarskynlikheidsverdeling. Die doel van hierdie studie is om ‘n ondersoek te doen na die geskiktheid van die gebruik van ‘n ekonofisiese, vooruitskattingsmetode, naamlik die Boltzmann/mark-temperatuur model. As ekonometriese verwysing is die “ARCH/GARCH” metode toegepas. Aandelemark indekse is bekend vir die nie-Gaussiese verspreiding daarvan. Die verspreidingspatroon van ‘n aandelemark indeks met‘n redelike hoë steekproef frekwensie (in die orde van ‘n dag of minder) is leptokurties met breë stert-dele. Mesoskopiese (interdag) verspreidings van finansiële tydreekse is getipeer as eksponensieël. Indien die empiriese eksponensiële-verspreiding as ‘n Boltzmann-verspreiding geinterpreteer word, kan ‘n mark-temperatuur daarvoor bereken word. Empiriese data vir die gebruik in hierdie studie is in die vorm van daaglikse sluitingswaardes van die Johannesburgse Effektebeurs (JSE) se Alle Aandele Indeks (ALSI) en die Standard en Poor 500 (S & P 500) indeks vir die periode 1995 tot en met 2008. Die Kleinert en Chen studie het van intradag data vanuit ‘n ontwikkelde mark gebruik gemaak. Hierdie studie verskil egter van die Kleinert en Chen studie deurdat van interdag data vanuit ‘n opkomende mark, naamlik die Suid-Afrikaanse aandelemark, gebruik is. Nie een van die twee voorafgaande verskille het ‘n beduidende invloed op die resultate van hierdie studie gehad nie. Die JSE ALSI se logaritmiese opbrengs data vertoon nie-Gaussiese eienskappe en die Laplace (dubbeleksponensiële) verspreiding beskryf die data goed. ‘n Grafiek van die mark-temperatuur vertoon duidelik wanneer aandelemarkineenstortings plaasgevind het. Resultate van die ekonofisiese (Boltzmann/mark-temperatuur) metode vergelyk goed met resultate van die ekonometriese (“ARCH/GARCH”) metode en onderhewig aan sekere verbeteringe kan dit met sukses toegepas word. ‘n Leptokurtiese, nie-Gaussiese aard is vir daaglike opbrengswaardes vir die JSE ALSI en die S & P 500 indeks vasgestel. ‘n Laplace (dubbel-eksponensiële) verspreiding kan goed op die jaarlikse logaritmiese opbrengste van die JSE ALSI en die S & P 500 indeks toegepas word. As gevolg van die goeie aanwending van die Laplace-verspreiding kan ‘n jaarlikse mark-temperatuur vir die JSE ALSI en die S & P 500 indeks bereken word. Die mark-temperatuur metode is effektief in die identifisering van aandelemarkineenstorings vir beide indekse, hoewel daar ‘n beperking is op die aantal mark-temperature wat bereken kan word. Die beskikbaarheid van intradag aandele indekswaardes behoort die interval waarvoor mark-temperature bereken kan word te verbeter.
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Baumberg, Geiger Ben, René Böheim, and Thomas Leoni. "The growing American health penalty: International trends in the employment of older workers with poor health." WU Vienna University of Economics and Business, 2018. http://epub.wu.ac.at/6525/1/wp271.pdf.
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Many countries have reduced the generosity of disability benefits while making them more activating - yet few studies have examined how employment rates have subsequently changed. We present estimates of how the employment rates of older workers with poor health in 13 high-income countries changed between 2004-7 and 2012-15 using HRS/SHARE/ELSA data. We find that those in poor health in the USA have experienced a unique deterioration: they have not only seen a widening gap to the employment rates of those with good health, but their employment rates fell per se. We find only for Sweden (and possibly England) signs that the health employment gap shrank. We then examine possible explanations for the development in the USA: we find no evidence it links to labour market trends, but possible links to the USA's lack of disability benefit reform - which should be considered alongside the wider challenges of our findings for policymakers.Series: Department of Economics Working Paper Series
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Knudsen, Kasper, and Vilhelm Söderström. "When the investors choose : Analysis of business models within the Swedish video game industry." Thesis, Uppsala universitet, Företagsekonomiska institutionen, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-451195.
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Many Swedish video game companies have in recent years been very successful in terms of share price development. Why is it like that? With the purpose to gain an increased understanding of the investor's choice, we here examine which business models are used in the Swedish video game industry. More specifically, we try to identify what similarities do the business models in the successful companies share and what similarities do the non-performing companies share. The analytical framework used is based on Business Model Canvas adapted to the video game industry. We use a qualitative approach with case studies of 10 listed Swedish video gaming companies, five successful and five non-performing, in terms of share price development. The data collected is from secondary sources, mainly the companies' annual reports, fitting the investors narrative with the assumption that secondary data is generally what influences the stock price.In general, the results suggest that similarities between business models among the successful companies largely coincide with similarities between the non-performing companies, which makes the information less valuable for understanding investors' choices. Nevertheless, one unique similarity among successful companies applies to that they in general have broad gaming portfolios that target several unrelated customer segments, i.e. a diversified market. The non-performing companies instead mainly target a niche market. Another unique similarity among successful companies’ business models concerns their use of acquisition strategies. In the non-performing companies' business models, acquisition strategies are largely lacking.
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Suzuki, Yurie Yassunaga. "Descoberta de preço nas opções de Petrobrás." reponame:Repositório Institucional do FGV, 2015. http://hdl.handle.net/10438/13990.
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This work aims to study market behavior involving Petrobras’ stock and options markets applying price discovery methodology. Using high-frequency data, provided by BM&FBOVESPA, econometric models used in this methodology were estimated and measures of Information Share (IS) and Component Share (CS) were calculated. The results of the analyzes indicated dominance of the spot market in the process of price discovery, since, for this market, were observed values over 66% for IS and above 74% for CS. Graphical analysis of the impulse response function indicated that the spot market is more efficient than the option market.
Este trabalho tem como objetivo estudar o comportamento do mercado de ações e opções de Petrobrás utilizando a metodologia de price discovery (descoberta de preços). A partir de dados de alta frequência de ambos os mercados, fornecidos pela BM&FBOVESPA, os modelos econométricos utilizados nessa metodologia foram estimados e as medidas de Information Share (IS) e Component Share (CS) foram calculadas. Os resultados das análises indicaram dominância do mercado à vista no processo de descoberta de preços, dado que, para este mercado, foram observados valores acima de 66% para a medida IS e acima de 74% para a medida CS. Análises gráficas da função resposta ao impulso indicaram, também, que o mercado à vista é o mais eficiente.
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Svobodová, Veronika. "Kvalita života evropské populace nad padesát let." Master's thesis, Vysoká škola ekonomická v Praze, 2017. http://www.nusl.cz/ntk/nusl-359605.
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This master thesis deals with research of Subjective Quality of Life for population fifty years old or more, depending on the selected demographic, social and economic indicators. More and more people live to the older ages, and thus important question of living conditions and well being of this ageing population comes forward. General concept of Quality of Life of older people is described on wide theoretical scale with focus on the cause of the phenomenon, Demographic Ageing of populations. The Demographic Ageing is described not only on the theoretical level, but also in a quantitative way. There are specific fertility rates introduced according to an age of a mother while birth giving, or still increasing Life Expectancy at Birth for both males and females. To explore the dependencies of Subjective Quality of Life on selected indicators, there is a statistical model introduced. The input indicators come from the European panel data research Survey of Health, Ageing and Retirement in Europe. Techniques used for analyzing the data are Analysis of variance for one single wave (held around year 2013) and Panel data analysis for all available waves (from 2004 to 2013). The results from both analyses for the Czech Republic are compared with results for selected countries, Germany, Sweden, Spain, Italy and Greece. From the SHARE data set can be read the following results. The variable Age significantly influences all included models for all selected countries, the similar influence can be observed for the Education. For almost all countries and models is proving of the significant influence of Gender to Subjective Quality of Life indefinite (we are not able to observe significant influence). Also the influence of the variable Living alone/with other people is not perfectly convincing. On the other hand, significantly observable categories are Unemployed and Permanently sick or disabled. The question of Quality of Life is related to all parts of population. While the number of older people in population increases, this question of the quality of their lives becomes more and more important. The way how to secure those needed, powerless and often vulnerable people in a decent way and with dignity is not easy.
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Qiu, Waishan. "Increasing Saudi females' accessibility to employment via car-pooling in Riyadh : measure the realistic commute cost by network computing methods and investigate the share-ability based on actual taxi trip data." Thesis, Massachusetts Institute of Technology, 2017. http://hdl.handle.net/1721.1/111478.
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Thesis: M.C.P., Massachusetts Institute of Technology, Department of Urban Studies and Planning, 2017.Cataloged from PDF version of thesis.
Includes bibliographical references (pages 121-124).
Due to the driving ban as well as to social restrictions on their movement with male drivers, Saudi women have to rely on either male family members or the employer's shuttle bus; otherwise they would hire a driver or take the taxi. These few options pose high commute cost on Saudi females, hence their access to economic opportunities is restrained, especially among lower car ownership segments. Such restrictions have negative influence on Saudi females' employment. The employment rate of Saudi women is only 22%. However, no previous research has quantitatively investigated the commute cost as a financial burden and barrier to job participation for Saudi females. Taking the capital city Riyadh as a case study, this study will (1) develop the method to measure the realistic commute cost (in terms of time and money) by different transportation options for Saudi female residents in different job sectors; (2) examine the spatial mismatch between Saudi females' concentration and their job markets using the notion of accessibility; (3) demonstrate ridesharing's capacity of providing greater access for Saudi women based on spatial analysis of the current commute demands and behaviors; (4) and also look at the feasibility of developing ridesharing programs based on network analysis of current taxi trips. This study sheds light on implications for policy makers and ridesharing service companies to reduce Saudi females' commute cost so as to increase their access to economic opportunities.
by Waishan Qiu.
M.C.P.
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Dryden, Ian Leslie. "The statistical analysis of shape data." Thesis, University of Leeds, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.392774.
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Averkiou, M. "Data-driven modelling of shape structure." Thesis, University College London (University of London), 2015. http://discovery.ucl.ac.uk/1470746/.
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In recent years, the study of shape structure has shown great promise, by taking steps towards exposing shape semantics and functionality to algorithms spanning a wide range of areas in computer graphics and vision. By shape structure, we refer to the set of parts that make a shape, the relations between these parts, and the ways in which they correspond and vary between shapes of the same family. These developments have been largely driven by the abundance of 3D data, with collections of 3D models becoming increasingly prominent and websites such as Trimble 3D Warehouse offering millions of free 3D models to the public. The ability to use large amounts of data inside these shape collections for discovering shape structure has made novel approaches to acquisition, modelling, fabrication, and recognition of 3D objects possible. Discovering and modelling the structure of shapes using such data is therefore of great importance. In this thesis we address the problem of discovering and modelling shape structure from large, diverse and unorganized shape collections. Our hypothesis is that by using the large amounts of data inside such shape collections we can discover and model shape structure, and thus use such information to enable structure-aware tools for 3D modelling, including shape exploration, synthesis and editing. We make three key contributions. First, we propose an efficient algorithm for co-aligning large and diverse collections of shapes, to tackle the first challenge in detecting shape structure, which is to place shapes in a common coordinate frame. Then, we introduce a method to parameterize shapes in terms of locations and sizes of their parts, and we demonstrate its application to concurrently exploring a shape collection and synthesizing new shapes. Finally, we define a meta-representation for a shape family, which models the relations of shape parts to capture the main geometric characteristics of the family, and we demonstrate how it can be used to explore shape collections and intelligently edit shapes.
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Stetenfeldt, Andreas. "Data communication for near shore applications." Thesis, Uppsala universitet, Elektricitetslära, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-330936.
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The wave energy conversion concept developed at Uppsala University is based on a buoy at sea level that is connected to a linear generator on the sea bed. The movements of the buoy riding the waves gets converted into electricity by the reciprocal movements of the translator inside the generator. To be able to compensate the negative impact of water level variations on power production, which is especially important at sites with high tidal range, a sea level compensation system to be placed on the buoy was developed. During development, the system used cellphone technology to communicate, which can be power demanding and is dependent on adequate cellphone reception. Since future wave power parks could be localized up to 10 km offshore, in rural areas of developing countries, a new approach is needed for communication with the sea level compensation system that is not dependent on cellphone reception at sea. In this report, a review of the regulations for radio communication and radio equipment in Sweden, Spain, Nigeria, Ghana and India is presented together with research of different possibilities of communication. Moreover, a new system for sending commands and receiving telemetry have been developed and have been tested for basic functionality, range and power efficiency. Due to differences in the countries regulations and uncertainties about conditions at the future sites of deployment, the programs in the system are to be easily adapted to function with different radios depending on the country of interest and the conditions at the site. Hence, a system layout have been proposed rather than a specific communication solution. The experimental setup developed has been tested over land with license free radios, over a range of 10 km in the vicinity of Uppsala. In the test, 100% of the transmitted commands were received and acknowledged within three attempts. The new control system for the buoys reduced the energy consumption from the previous development system by 90%.
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Sharp, Julia Lynn. "New Statistical Methods for Analyzing Proteomics Data from Affinity Isolation LC-MS/MS Experiments." Thesis, Montana State University, 2007. http://etd.lib.montana.edu/etd/2007/sharp/SharpJ0807.pdf.
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The field of proteomics is exploding with statistical problems waiting to be explored. To obtain information on protein complexes, interactions between protein pairs is initially examined. This exploration is performed using `bait-prey' protein pull-down assays that use a protein affinity agent and an LC-MS/MS (liquid chromatography-tandem mass-spectrometry)-based protein identifcation method. An experiment generates a protein association matrix wherein each column represents a sample from one bait protein, each row represents one prey protein and each cell contains a presence/absence association indicator. The prey protein presence/absence pattern is assessed with a Likelihood Ratio Test (LRT) and simulated LRT p-values. Fisher's Exact Test and a conditional frequency distribution test using generating functions are also used to assess the prey protein observation pattern. Based on the p-value, each prey protein is assigned a category (Specific or Non-Specific) and appraised with respect to the goal and design of the experiment. The Bayes' Odds is calculated for each prey-bait pair in the `Specific' category to estimate the posterior probability that two proteins interact and compared to an approach used by Gilchrist et al. [23]. The method is illustrated using an experiment investigating protein complexes of Shewanella oneidensis MR-1 at the Proteomics Facility of Pacific Northwest National Laboratory (PNNL). The example analysis shows the results to be biologically sensible and more realistic than methods previously used to infer protein - protein associations. While inferring protein-protein associations is of great importance in proteomic studies, the quality of the data is of equal or greater importance. Protein-protein interactions may be inferred incorrectly or not at all depending on the quality of the data. Prior to this thesis, statistical quality control measures have not been incorporated into these experiments. The implementation of traditional Individual/Moving Range (IMR) charts and cumulative sum (cusum) quality control methods for use with pull-down experiment data is studied. These methodologies are illustrated using a standard protein mixture from PNNL. The joint application of IMR and cusum charts promises to provide researchers with information on changes in the mean and variability of the data resulting from control samples run through the mass spectrometer process.
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Kong, Jiantao. "Trusted data path protecting shared data in virtualized distributed systems." Diss., Georgia Institute of Technology, 2010. http://hdl.handle.net/1853/33820.
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When sharing data across multiple sites, service applications should not be trusted automatically. Services that are suspected of faulty, erroneous, or malicious behaviors, or that run on systems that may be compromised, should not be able to gain access to protected data or entrusted with the same data access rights as others. This thesis proposes a context flow model that controls the information flow in a distributed system. Each service application along with its surrounding context in a distributed system is treated as a controllable principal. This thesis defines a trust-based access control model that controls the information exchange between these principals. An online monitoring framework is used to evaluate the trustworthiness of the service applications and the underlining systems. An external communication interception runtime framework enforces trust-based access control transparently for the entire system.
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Bruce, Craig Steven. "Performance optimization for distributed-shared-data systems." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp02/NQ32819.pdf.
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Allen, Phillip L., David P. Gravseth, Michael Brett Huffman, Richard W. Hughes, Bradley J. May, Son N. Nguyen, James W. Pinner, Edgar C. Pontejos, Debra R. Reinertson, and Michael J. Roderick. "Ship-to-shore data communication and prioritization." Thesis, Monterey, California. Naval Postgraduate School, 2011. http://hdl.handle.net/10945/6966.
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Approved for public release; distribution is unlimited.Ships are plagued by connectivity issues while underway resulting in backlogs of data needing to get off a ship. This capstone project's main focus was to provide the Commanding Officer (CO) the capability to select and prioritize outgoing data flow from ship-to-shore dependent on their ship's operational situation while afloat. In carrying out this effort, the team focused its analysis on the Navy's Automated Digital Network System (ADNS) and Information Technology (IT) (i.e.
shipboard networks and applications) communities. In so doing, the As-Is technical status and current state of business processes were captured as a starting point for the work. The team learned that the shipboard IT infrastructure, ADNS in particular, has the technical capability to prioritize data but that functionality is difficult to use and not widely understood by shipboard operators. As a result, most prioritization efforts are done ashore (instead of on the ship) which, in turn, puts extra work load on shore activities. The ADNS community is striving to make improvements in its Quality of Service (QoS) (prioritization of network traffic) and this effort is well underway. Although the technical infrastructure seems to be in place, the functional (user perspective) aspect of ship-to-shore data prioritization does not seem to be well organized and formed. This is probably one of the main reasons why data prioritization seems to be performed in a stove-pipe, fragmented, and ad-hoc manner, and conducted ashore instead of on the ship. Thus, a framework providing a ship-to-shore data prioritization perspective from a systems point of view appears to be missing. This framework could bring the functional and technical aspects of data prioritization together. Although, the team initiated the formulation of this framework in several ways. First, the team developed and introduced a conceptual prioritization matrix which would allow the CO to select and prioritize outgoing data based on the ship's operational situation. Second, the translation of war fighter situations into policies which would feed into the network prioritization mechanism was explored. Third, a data and domain architecture in which to employ prioritization was developed. Finally, modeling and simulation of the network prioritization mechanism was conducted. It is recommended that the work that had been started in this project be continued and further developed by future Naval Postgraduate School masters and/or doctoral efforts.
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Leventhal, Sean. "Speculative data distribution in shared memory multiprocessors." College Park, Md. : University of Maryland, 2008. http://hdl.handle.net/1903/8076.
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Thesis (Ph. D.) -- University of Maryland, College Park, 2008.Thesis research directed by: Dept. of Electrical and Computer Engineering. Title from t.p. of PDF. Includes bibliographical references. Published by UMI Dissertation Services, Ann Arbor, Mich. Also available in paper.
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Gregory, Machon. "Shape identication and ranking in temporal data sets." College Park, Md.: University of Maryland, 2009. http://hdl.handle.net/1903/9319.
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Thesis (M.S.) -- University of Maryland, College Park, 2009.Thesis research directed by: Dept. of Computer Science. Title from t.p. of PDF. Includes bibliographical references. Published by UMI Dissertation Services, Ann Arbor, Mich. Also available in paper.
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Allen, Brett. "Learning body shape models from real-world data /." Thesis, Connect to this title online; UW restricted, 2005. http://hdl.handle.net/1773/6969.
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Barry, Sarah Jane Elizabeth. "Longitudinal analysis of three-dimensional facial shape data." Connect to e-thesis, 2008. http://theses.gla.ac.uk/190/.
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Thesis (Ph.D.) - University of Glasgow, 2008.Ph.D. thesis submitted to the Faculty of Information and Mathematical Sciences, Department of Statistics, University of Glasgow, 2008. Includes bibliographical references. Print version also available.
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Barry, Sarah J. E. "Longitudinal analysis of three-dimensional facial shape data." Thesis, University of Glasgow, 2008. http://theses.gla.ac.uk/190/.
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Shape data encompass all the information that is left to describe a shape following removal of location, rotation and scale effects. Much work has been done in the analysis of two-dimensional shapes depicted by anatomical landmarks placed at points of importance. Less has been carried out in the area of three-dimensional shapes, particularly in terms of growth or change over time. This thesis considers the analysis of such longitudinal three-dimensional shape data. In doing so, two well established but normally unrelated areas of Statistics are brought together: those of longitudinal data analysis (specifically, linear mixed effects models) and shape analysis. A recently proposed method of analysing longitudinal high-dimensional data is presented in a novel application within the area of shape analysis, illustrated by a study comparing the facial shapes of cleft-lip and palate children with controls as they grow from three months to two years of age. Both anatomical landmarks and facial curves are considered. Chapter 1 broadly introduces the areas of shape analysis, linear mixed effects models and dimension reduction. Standard methods for measuring shapes are introduced, along with the difficulties inherent in analysing the resulting data. A broad overview of the methods of aligning individual shapes to remove the unwanted effects of location, rotation and scale is given, along with related geometrical issues in terms of the high-dimensional space in which a set of shapes resides. A general introduction to linear mixed effects models compares and contrasts them with simple linear models, explaining the reasons behind using them and presenting the different specifications of the conditional and marginal models. The area of dimension reduction is touched upon, specifically introducing B-splines and principal components analysis, with reference to the analysis of curves consisting of many points at small increments to one another. The data from the cleft-lip and palate study are introduced, along with a discussion of the primary interest of the analysis and the issue of missing data. Chapter 2 presents the statistical definition of a shape and introduces the area of statistical shape analysis in detail, specifically presenting the technicalities of shape space and distances, and methods such as Procrustes alignment of a set of shapes to remove unwanted effects. The concept of tangent coordinates is introduced as a projection of shape data into a Euclidean space, to enable the use of multivariate methods, and an outline given of thin-plate splines and deformations for the analysis of surfaces. Recent literature in the area of shape analysis is presented. Further recent literature addressing the modelling of growth in shapes is presented in Chapter 3, which goes on to discuss the use of linear mixed models on univariate and multivariate longitudinal data. The difficulties of applying mixed models to multivariate data are discussed and a recently proposed alternative method introduced, which involves fitting mixed models to the responses on pairs of outcomes rather than the full set. A description of the R function written as part of this thesis to fit such pairwise models follows, and this is applied to simulated triangles and quadrilaterals as an illustration. The initial application of the pairwise method to the cleft-lip and palate landmark data is presented in Chapter 4. The landmarks are described and the models are fitted to the tangent coordinate responses with different covariance structures for the random effects. The problems that arise and the deficiencies of the fitted models are extensively discussed. Chapter 5 goes on to address the issues raised in Chapter 4. A method of aligning the individual shapes based upon a subset of landmarks is suggested, along with a model that assumes independence of coordinates between dimensions but correlation within, and the benefits of these approaches compared. A simulation study is carried out to investigate the reasons behind and effects of random effects correlations that are estimated as being close to one, concluding that the problem lies in small variances that are poorly estimated, but that this is unlikely to be of severe detriment to the fixed effects estimates. A method of taking the principal components of the tangent coordinates is suggested, where the model responses are the principal components scores, and this proves to be the most appropriate way of applying the pairwise models in terms of model fit and computational efficiency. In Chapter 6, recent literature on the topic of curve analysis is presented, along with the way the facial curves are measured and the need for dimension reduction. Two methods are presented to this end: B-splines and principal components analysis, with the former suffering similar problems to the landmark analyses in terms of poorly estimated random effects variances, and the latter proving more successful. The application of the pairwise models to the principal components scores of the tangent coordinates provides a detailed analysis of the cleft-lip and palate data. Issues surrounding model comparison are addressed in Chapter 7, with several hypothesis tests presented and applied to simulated data. Drawbacks with some of the tests when applied to high dimensional or longitudinal data result in poor performance, but a method suggested by Faraway (1997) and a modification of the likelihood ratio test, both using bootstrapping, show similarly successful results. These are subsequently used to test for any differences in the time trends for the cleft and control groups post-surgery and find that there are significant differences. Condensed forms of this thesis have been presented at invited seminars and international conferences, and may be found in published form in Barry & Bowman (2006), Barry & Bowman (2007) and Barry & Bowman (2008).
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Walder, Alistair Neil. "Statistics of shape and size for landmark data." Thesis, University of Leeds, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.303425.
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Theologitis, Vassilios. "Private and shared data in object-oriented programming." Thesis, Monterey, Calif. : Naval Postgraduate School, 1992. http://handle.dtic.mil/100.2/ADA253070.
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Thesis (M.S. in Computer Science)--Naval Postgraduate School, March 1992.Thesis Advisor: Nelson, Michael L. "March 1992." Includes bibliographical references (p. 158-161). Also available in print.
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Hennessey, Anthony. "Statistical shape analysis of large molecular data sets." Thesis, University of Nottingham, 2018. http://eprints.nottingham.ac.uk/52088/.
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Protein classification databases are widely used in the prediction of protein structure and function, and amongst these databases the manually-curated Structural Classification of Proteins database (SCOP) is considered to be a gold standard. In SCOP, functional relationships are described by hyperfamily and superfamily categories and structural relationships are described by family, species and protein categories. We present a method to calculate a difference measure between pairs of proteins that can be used to reproduce SCOP2 structural relationship classifications, and that can also be used to reproduce a subset of functional relationship classifications at the superfamily level. Calculating the difference measure requires first finding the best correspondence between atoms in two protein configurations. The problem of finding the best correspondence is known as the unlabelled, partial matching problem. We consider the unlabelled, partial matching problem through a detailed analysis of the approach presented in Green and Mardia (2006). Using this analysis, and applying domain-specific constraints, we develop a new algorithm called GProtA for protein structure alignment. The proposed difference measure is constructed from the root mean squared deviation of the aligned protein structures and a binary similarity measure, where the binary similarity measure takes into account the proportions of atoms matching from each configuration. The GProtA algorithm and difference measure are applied to protein structure data taken from the Protein Data Bank. The difference measure is shown to correctly classify 62 of a set of 72 proteins into the correct SCOP family categories when clustered. Of the remaining 9 proteins, 2 are assigned incorrectly and 7 are considered indeterminate. In addition, a method for deriving characteristic signatures for categories is proposed. The signatures offer a mechanism by which a single comparison can be made to judge similarity to a particular category. Comparison using characteristic signatures is shown to correctly delineate proteins at the family level, including the identification of both families for a subset of proteins described by two family level categories.
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Faustino, Bruno Filipe Fernandes Simões Salgueiro. "Implementation for spatial data of the shared nearest neighbour with metric data structures." Master's thesis, Faculdade de Ciências e Tecnologia, 2012. http://hdl.handle.net/10362/8489.
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Deshpande, Vaibhav Prakashrao. "General screening criteria for shale gas reservoirs and production data analysis of Barnett shale." [College Station, Tex. : Texas A&M University, 2008. http://hdl.handle.net/1969.1/ETD-TAMU-2357.
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Tellier, Sonia L. "Tracking Turnaround: Understanding Data Use as a Shared Leadership Practice." Thesis, Boston College, 2018. http://hdl.handle.net/2345/bc-ir:107991.
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Thesis advisor: Martin ScanlanThis qualitative case study examined leaders’ shared data use, a process of translating data into action (Bernhardt, 2013). Understanding data use is considered conceptually by attending to the assistance relationships shared between central office leaders and principals in the context of turnaround. Such relationships are marked by occasions during which members share expertise by modeling practices; the modeling informs how systems, structures and subsequent practices are introduced and even reinforced for newer members. I focused my analysis on four manifestations of data use: data’s influence on adjusting leadership practice, data’s ability to inform instruction, data use’s benefits from technological advancement, and the intentional promotion of resilience. Data collection included document review as well as interviews with central office leaders and principals. Findings evidenced the nature of both central office leaders’ and principals’ data use as well as revealed a remarkable degree of commonality in the language and practices these leaders shared. The results of this study indicated that assistance relationships are a functioning element of leadership in the turnaround context. This study supported the research that leaders’ shared practice of data use benefits student growth and achievement in line with state-determined assessment and accountability targets. Recommendations include additional research into Lawrence Public Schools’ data use to further inform a blueprint for comprehensive district-wide reform as well as the development of exit criteria from receivership
Thesis (EdD) — Boston College, 2018
Submitted to: Boston College. Lynch School of Education
Discipline: Educational Leadership and Higher Education
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Zetterdahl, Emma. "Take a risk : social interaction, gender identity, and the role of family ties in financial decision-making." Doctoral thesis, Umeå universitet, Nationalekonomi, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-102503.
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This thesis consists of an introductory part and four self-contained papers related to individual financial behavior and risk-taking in financial markets. In Paper [I] we estimate within-family and community social interaction effects upon an individual’s stock market entry, participation, and exit decision. Interestingly, community sentiment towards the stock market (based on portfolio outcomes in the community) does not influence individuals’ likelihood to enter, while a positive sentiment increases (decreases) the likelihood of participation (exit). Overall, the results stress the importance of accounting for family social influence and highlight potentially important differences between family and community effects in individuals’ stock market participation. In Paper [II] novel evidence is provided indicating that the influence from family (parents and partners) and peer social interaction on individuals’ stock market participation vary over different types of individuals. Results imply that individuals’ exposure to, and valuation of, stock market related social signals are of importance and thus, contribute to the understanding of the heterogeneous influence of social interaction. Overall, the results are interesting and enhance the understanding of the underlying mechanisms of social interaction on individuals’ financial decision making. In Paper [III] the impact of divorce on individual financial behavior is empirically examined in a dynamic setting. Evidence that divorcing individuals increase their saving rates before the divorce is presented. This may be seen as a response to the increase in background risk that divorce produces. After the divorce, a negative divorce effect on individual saving rates and risky asset shares are established, which may lead to disparities in wealth accumulation possibilities between married and divorced. Women are, on average, shown to not adjust their precautionary savings to the same extent as men before the divorce. I also provide tentative evidence that women reduce their financial risk-taking more than men after a divorce, which could be a result of inequalities in financial positions or an adjustment towards individual preferences. Paper [IV] provides novel empirical evidence that gender identity is of importance for individuals’ financial risk-taking. Specifically, by use of matching and by dividing male and females into those with “traditional” versus “nontraditional” gender identities, comparison of average risk-taking between groupings indicate that over a third (about 35-40%) of the identified total gender risk differential is explained by differences in gender identities. Results further indicate that risky financial market participation is 19 percentage points higher in groups of women with nontraditional, compared with traditional, gender identities. The results, obtained while conditioning upon a vast number of controls, are robust towards a large number of alternative explanations and indicate that some individuals (mainly women) partly are fostered by society, through identity formation and socially constructed norms, to a relatively lower financial risk-taking.
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Diener, Matthias. "Automatic task and data mapping in shared memory architectures." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2015. http://hdl.handle.net/10183/131871.
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Arquiteturas paralelas modernas têm hierarquias de memória complexas, que consistem de vários níveis de memórias cache privadas e compartilhadas, bem como Non-Uniform Memory Access (NUMA) devido a múltiplos controladores de memória por sistema. Um dos grandes desafios dessas arquiteturas é melhorar a localidade e o balanceamento de acessos à memória de tal forma que a latência média de acesso à memória é reduzida. Dessa forma, o desempenho e a eficiência energética de aplicações paralelas podem ser melhorados. Os acessos podem ser melhorados de duas maneiras: (1) processos que acessam dados compartilhados (comunicação entre processos) podem ser alocados em unidades de execução próximas na hierarquia de memória, a fim de melhorar o uso das caches. Esta técnica é chamada de mapeamento de processos. (2) Mapear as páginas de memória que cada processo acessa ao nó NUMA que ele está sendo executado, assim, pode-se reduzir o número de acessos a memórias remotas em arquiteturas NUMA. Essa técnica é conhecida como mapeamento de dados. Para melhores resultados, os mapeamentos de processos e dados precisam ser realizados de forma integrada. Trabalhos anteriores nesta área executam os mapeamentos separadamente, o que limita os ganhos que podem ser alcançados. Além disso, a maioria dos mecanismos anteriores exigem operações caras, como traços de acessos à memória, para realizar o mapeamento, além de exigirem mudanças no hardware ou na aplicação paralela. Estes mecanismos não podem ser considerados soluções genéricas para o problema de mapeamento. Nesta tese, fazemos duas contribuições principais para o problema de mapeamento. Em primeiro lugar, nós introduzimos um conjunto de métricas e uma metodologia para analisar aplicações paralelas, a fim de determinar a sua adequação para um melhor mapeamento e avaliar os possíveis ganhos que podem ser alcançados através desse mapeamento otimizado. Em segundo lugar, propomos um mecanismo que executa o mapeamento de processos e dados online. Este mecanismo funciona no nível do sistema operacional e não requer alterações no hardware, os códigos fonte ou bibliotecas. Uma extensa avaliação com múltiplos conjuntos de carga de trabalho paralelos mostram consideráveis melhorias em desempenho e eficiência energética.Reducing the cost of memory accesses, both in terms of performance and energy consumption, is a major challenge in shared-memory architectures. Modern systems have deep and complex memory hierarchies with multiple cache levels and memory controllers, leading to a Non-Uniform Memory Access (NUMA) behavior. In such systems, there are two ways to improve the memory affinity: First, by mapping tasks that share data (communicate) to cores with a shared cache, cache usage and communication performance are improved. Second, by mapping memory pages to memory controllers that perform the most accesses to them and are not overloaded, the average cost of accesses is reduced. We call these two techniques task mapping and data mapping, respectively. For optimal results, task and data mapping need to be performed in an integrated way. Previous work in this area performs the mapping only separately, which limits the gains that can be achieved. Furthermore, most previous mechanisms require expensive operations, such as communication or memory access traces, to perform the mapping, require changes to the hardware or to the parallel application, or use a simple static mapping. These mechanisms can not be considered generic solutions for the mapping problem. In this thesis, we make two contributions to the mapping problem. First, we introduce a set of metrics and a methodology to analyze parallel applications in order to determine their suitability for an improved mapping and to evaluate the possible gains that can be achieved using an optimized mapping. Second, we propose two automatic mechanisms that perform task mapping and combined task/data mapping, respectively, during the execution of a parallel application. These mechanisms work on the operating system level and require no changes to the hardware, the applications themselves or their runtime libraries. An extensive evaluation with parallel applications from multiple benchmark suites as well as real scientific applications shows substantial performance and energy efficiency improvements that are significantly higher than simple mechanisms and previous work, while maintaining a low overhead.
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Bhuiyan, Mohammad AN. "Bayesian Shape Invariant growth curve model for longitudinal data." University of Cincinnati / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1561393650064101.
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Newlon, Christine Mae. "The effect of shared dynamic understanding on willingness to contribute information| Design and analysis of a mega-collaborative interface." Thesis, Indiana University - Purdue University Indianapolis, 2016. http://pqdtopen.proquest.com/#viewpdf?dispub=10159859.
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Collaborative helping via social networking conversation threads can pose serious challenges in emergency situations. Interfaces that support complex group interaction and sense-making can help. This research applies human-computer interaction (HCI), computer-supported cooperative work (CSCW), and collaboration engineering in developing an interactive design, the Mega-Collaboration Tool (MCT). The goal is to reduce the cognitive load of a group’s growing mental model, thus increasing the general public’s ability to organize spontaneous collaborative helping.
The specific aims of this research include understanding the dynamics of mental model negotiation and determining whether MCT can assist the group’s sense-making ability without increasing net cognitive load.
The proposed HCI theory is that interfaces supporting collaborative cognition motivate contribution and reduce information bias, thus increasing the information shared. These research questions are addressed: 1. Does MCT support better collaborative cognition? 2. Does increasing the size of the shared data repository increase the amount of information shared? 3. Does this happen because group members experience 1) a greater sense of strategic commitment to the knowledge structure, 2) increased intrinsic motivation to contribute, and 3) reduced resistance to sharing information?
These questions were affirmed to varying degrees, giving insight into the collaborative process. Greater content did not motive group members directly; instead, half of their motivation came from awareness of their contribution’s relevance. Greater content and organization improved this awareness, and also encouraged sharing through increased enthusiasm and reduced bias. Increased commitment was a result of this process, rather than a cause. Also, MCT increased collaborative cognition but was significantly hampered by Internet performance. This challenge indicates MCT’s system components should be redesigned to allow asynchronous interaction. These results should contribute to the development of MCT, other collaboration engineering applications, and HCI and information science theory.
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Narayanan, Sivaramakrishnan. "Efficient Virtualization of Scientific Data." The Ohio State University, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=osu1221079391.
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Davari, Mahdad. "Advances Towards Data-Race-Free Cache Coherence Through Data Classification." Doctoral thesis, Uppsala universitet, Avdelningen för datorteknik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-320595.
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Providing a consistent view of the shared memory based on precise and well-defined semantics—memory consistency model—has been an enabling factor in the widespread acceptance and commercial success of shared-memory architectures. Moreover, cache coherence protocols have been employed by the hardware to remove from the programmers the burden of dealing with the memory inconsistency that emerges in the presence of the private caches. The principle behind all such cache coherence protocols is to guarantee that consistent values are read from the private caches at all times. In its most stringent form, a cache coherence protocol eagerly enforces two invariants before each data modification: i) no other core has a copy of the data in its private caches, and ii) all other cores know where to receive the consistent data should they need the data later. Nevertheless, by partly transferring the responsibility for maintaining those invariants to the programmers, commercial multicores have adopted weaker memory consistency models, namely the Total Store Order (TSO), in order to optimize the performance for more common cases. Moreover, memory models with more relaxed invariants have been proposed based on the observation that more and more software is written in compliance with the Data-Race-Free (DRF) semantics. The semantics of DRF software can be leveraged by the hardware to infer when data in the private caches might be inconsistent. As a result, hardware ignores the inconsistent data and retrieves the consistent data from the shared memory. DRF semantics therefore removes from the hardware the burden of eagerly enforcing the strong consistency invariants before each data modification. Instead, consistency is guaranteed only when needed. This results in manifold optimizations, such as reducing the energy consumption and improving the performance and scalability. The efficiency of detecting and discarding the inconsistent data is an important factor affecting the efficiency of such coherence protocols. For instance, discarding the consistent data does not affect the correctness, but results in performance loss and increased energy consumption. In this thesis we show how data classification can be leveraged as an effective tool to simplify the cache coherence based on the DRF semantics. In particular, we introduce simple but efficient hardware-based private/shared data classification techniques that can be used to efficiently detect the inconsistent data, thus enabling low-overhead and scalable cache coherence solutions based on the DRF semantics.
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Kouzoupis, Antonios. "High performance shared state schedulers." Thesis, KTH, Skolan för informations- och kommunikationsteknik (ICT), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-196145.
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Large organizations and research institutes store a huge volume of data nowadays.In order to gain any valuable insights distributed processing frameworks over acluster of computers are needed. Apache Hadoop is the prominent framework fordistributed storage and data processing. At SICS Swedish ICT we are building Hops, a new distribution of Apache Hadoop relying on a distributed, highly available MySQL Cluster NDB to improve performance. Hops-YARN is the resource management framework of Hops which introduces distributed resource management, load balancing the tracking of resources in a cluster. In Hops-YARN we make heavy usage of the back-end database storing all the resource manager metadata and incoming RPCs to provide high fault tolerance and very short recovery time. This project aims in optimizing the mechanisms used for persisting metadata in NDB both in terms of transactional commit time but also in terms of pre-processing them. Under no condition should the in-memory RM state diverge from the state stored in NDB. With these goals in mind several solutions were examined that improved the performance of the system, making Hops-YARN comparable to Apache YARN with the extra benefits of high-fault tolerance and short recovery time. The solutions proposed in this thesis project enhance the pure commit time of a transaction to the MySQL Cluster and the pre-processing and parallelism of our Transaction Manager. The results indicate that the performance of Hops increased dramatically, utilizing more resources on a cluster with thousands of machines. Increasing the cluster utilization by a few percentages can save organizations a big amount of money.Nu för tiden lagrar stora organisationer och forskningsinstitutioner enorma mängder data.För att kunna utvinna någon värdefull information från dessa data behöver den bearbetasav ett kluster av datorer. När flera datorer gemensamt ska bearbeta data behöver de utgåfrån ett så kallat "distributed processing framework''. I dagsläget är Apache Hadoop detmest använda ramverket för distribuerad lagring och behandling av data. Detta examensarbeteär har genomförts vid SICS Swedish ICT där vi byggt Hops, en ny distribution avApache Hadoop som drivs av ett distribuerat MySQL Cluster NDB som erbjuder en hög tillgänglighet.Hops-YARN är Hops ramverk för resurshantering med distribuerade ResourceManagers som lastbalanserarderas ResourceTrackerService. I detta examensarbete använder vi Hops-Yarn på ett sätt där ``back-end''databasen flitigt används för att hantera ResourceManagerns metadata och inkommande RPC-anrop. Vårkonfiguration erbjuder en hög feltolerans och återställer sig mycket snabbt vidfelberäkningar. Vidare används NDB-klustrets Event API för att ResourceManager ska kunnakommunicera med den distribuerade ResourceTrackers. Detta projekt syftar till att optimera de mekanismer som används för ihållande metadatai NDB både i termer av transaktions begå tid men också i termer av pre-bearbeta dem medan samtidigt garantera enhetlighet i RM: s tillstånd. ResourceManagerns tillståndi RAM-minnet får under inga omständigheteravvika från det tillstånd som finns lagrat i NDB:n. Med dessa mål i åtanke undersöktes fleralösningar som förbättrar prestandan och därmed gör Hops-Yarn jämförbart med Apache YARN.De lösningar som föreslås i denna uppsats förbättrar “pure commit time” när en transaktiongörs i ett MySQL Cluster samt förbehandlingen och parallelismen i vår Transaction Manager.Resultaten tyder på att Hops prestanda ökade dramatiskt vilket ledde till ett effektivarenyttjande av tillgängliga resurser i ett kluster bestående av ett tusental datorer. Närnyttjandet av tillgänliga resurser i ett kluster förbättras med några få procent kanorganisationer spara mycket pengar.