Regularization and Bang-bang conjugate times in optimal control

Consideramos o problema de controlo óptimo de tempo mínimo para sistemas de controlo mono-entrada e controlo afim num espaço de dimensão finita com condições inicial e final fixas, onde o controlo escalar toma valores num intervalo fechado. Quando aplicamos o método de tiro a este problema, vários obstáculos podem surgir uma vez que a função de tiro não é diferenciável quando o controlo é bang-bang. No caso bang-bang os tempos conjugados são teoricamente bem definidos para este tipo de sistemas de controlo, contudo os algoritmos computacionais directos disponíveis são de difícil aplicação. Por outro lado, no caso suave o conceito teórico e prático de tempos conjugados é bem conhecido, e ferramentas computacionais eficazes estão disponíveis. Propomos um procedimento de regularização para o qual as soluções do problema de tempo mínimo correspondente dependem de um parâmetro real positivo suficientemente pequeno e são definidas por funções suaves em relação à variável tempo, facilitando a aplicação do método de tiro simples. Provamos, sob hipóteses convenientes, a convergência forte das soluções do problema regularizado para a solução do problema inicial, quando o parâmetro real tende para zero. A determinação de tempos conjugados das trajectórias localmente óptimas do problema regularizado enquadra-se na teoria suave conhecida. Provamos, sob hipóteses adequadas, a convergência do primeiro tempo conjugado do problema regularizado para o primeiro tempo conjugado do problema inicial bang-bang, quando o parâmetro real tende para zero. Consequentemente, obtemos um algoritmo eficiente para a computação de tempos conjugados no caso bang-bang.

Big data warehouse framework for smart revenue management

Revenue Management’s most cited definitions is probably “to sell the right accommodation to the right customer, at the right time and the right price, with optimal satisfaction for customers and hoteliers”. Smart Revenue Management (SRM) is a project, which aims the development of smart automatic techniques for an efficient optimization of occupancy and rates of hotel accommodations, commonly referred to, as revenue management. One of the objectives of this project is to demonstrate that the collection of Big Data, followed by an appropriate assembly of functionalities, will make possible to generate a Data Warehouse necessary to produce high quality business intelligence and analytics. This will be achieved through the collection of data extracted from a variety of sources, including from the web. This paper proposes a three stage framework to develop the Big Data Warehouse for the SRM. Namely, the compilation of all available information, in the present case, it was focus only the extraction of information from the web by a web crawler – raw data. The storing of that raw data in a primary NoSQL database, and from that data the conception of a set of functionalities, rules, principles and semantics to select, combine and store in a secondary relational database the meaningful information for the Revenue Management (Big Data Warehouse). The last stage will be the principal focus of the paper. In this context, clues will also be giving how to compile information for Business Intelligence. All these functionalities contribute to a holistic framework that, in the future, will make it possible to anticipate customers and competitor’s behavior, fundamental elements to fulfill the Revenue Management

Scott McElveen LLP presents the South Carolina big 50

This ranks private, public and foreign-affiliated companies by the number of employees on their South Carolina payrolls as of July 1, 2008, and then compares the progress of participating companies from year to year. The South Carolina Big 50 includes financial institutions, insurance companies, retailers, retail establishments, hospitals and healthcare organizations. The South Carolina Big 50, however, does exclude government agencies and organizations. The top company remained the same as in the 2007 issue, with Wal-Mart Stores Inc. continuing to be ranked No. 1. BI-LO LLC and Palmetto Health moved from No. 3 and No. 4 to No. 2 and No. 3 respectively.

Inferring Big 5 Personality from Online Social Networks

Thesis (Master's)--University of Washington, 2014

Big and beautiful: attractiveness and health ratings of the female body by male "fat admirers"

This study examined the body weight and waist-to-hip ratio (WHR) preferences of “fat admirers” (FAs), that is, individuals who are sexually attracted to heavier partners. Fifty-six heterosexual men involved in the FA community rated a series of line drawings that varied in three levels of body weight and six of WHR for physical attractiveness and health. The results showed significant main effects of body weight and WHR, as well as a significant body weight × WHR interaction for both health ratings. In general, there was a preference for heavyweight figures and high WHRs for ratings of attractiveness and normal-weight figures and mid-ranging WHRs for ratings of health. Limitations of the study and explanations for fat admiration are discussed.

The continuing popularity of the neighbourhood and neighbourhood governance in the transition from the 'big state' to the 'big society' paradigm

The neighbourhood in both the UK and Europe continues to dominate thinking about the quality of life in local communities, representation and empowerment, and how local services can be delivered most effectively. For several decades a series of centrally funded programmes in neighbour- hood governance have targeted localities suffering deprivation and social exclusion in England. From these much can be learnt about the strengths and limitations of a local approach to achieving multiple objectives.We review the findings of a case study of neighbourhood governance in the City of Westminster and draw on evaluations of two national programmes. In the conclusions we discuss the problems arising from multiple objectives and examine the prospects for neighbourhood governance as the national paradigm moves away from `big state' solutions towards the less-well-defined `big society' approach and the reinvention of `localism'. While the rationale for neighbourhood governance may change, the `neighbourhood' as a site for service delivery and planning remains as important now as in the past.

Gene Network Inference using Machine Learning and Graph Algorithms on Big Biomedical Data

Thesis (Master's)--University of Washington, 2016-03

The Big Society and the conjunction of crises: Justifying welfare reform and undermining social housing

This article considers the idea of the ‘Big Society’ as part of a long-standing debate about the regulation of housing. Situating the concept within governance theory, the article considers how the idea of the Big Society was used by the UK coalition government to justify a radical restructuring of welfare provision. The fundamental rationale for this transformation was that the UK was forced to respond to a conjunction of crises in morality, the state, ideology and economics. Representing a fundamental departure from earlier attempts at welfare reform, the government has undertaken a reform programme which has had a severe effect on the social housing sector. The article argues that the result has been a combination of libertarianism and authoritarianism, alongside an intentionally more destructive combination of stigmatization and fatalism. The consequence is to undermine the principle of social housing which will not only prove detrimental for residents but raises significant dilemmas for those working in the housing sector.

Education in Brazil: A big challenge?

Brazil is an emerging country where community school is being promoted in order to respond to the still significant gap between the poor and the rich population. This paper attempts to analyze one community school. Although other social programs whose scopes are also to enhance education have been implemented, such as the "Bolsa Familia", the impact of community schools need attention as well. Indeed, community schools must be studied due to the relevant positive attributes they can provide. Moreover, by improving the quality of education, studies show an enhancement of a higher-skilled nation and a better qualified labour force for the future. To clearly demonstrate the impacts of these communities, the treatment effect will be measured by using a matching estimator.

How to promote and enhance communication between a big retailer's after-sales department and its suppliers

W is the biggest electronic goods retailer in Portugal accounting with almost fifty percent of market share in its area. During the last years, many small W suppliers had to close their doors, and many others are in huge troubles. Among the reason for this situation, the huge bargaining power of W in the relationship seems crucial. The focus of the directed research will be in the after sales department where I did an internship from September 2014 to January 2015.

Promoting the Big Slice Pizzaria and developing key partnerships

The Purpose of this Work Project is to develop a Marketing plan, with a special focus on promotional activities and partnerships’ developments, for the Big Slice, a fast food Pizzeria that is currently operating in Lisbon, where I'm currently working in the marketing and promotion department. The project aims at developing promotions and key partnerships that maximize the opportunity. For that, I have analyzed the major trends in the food sector in Portugal, and I have conducted several qualitative interviews among young individuals. Finally I have developed and implemented various alternative promotions and established important key partnerships.

Modelos de negócios para a internet das coisas baseados em big data : Muzzley, um estudo de caso

A Internet das Coisas tal como o Big Data e a análise dos dados são dos temas mais discutidos ao querermos observar ou prever as tendências do mercado para as próximas décadas, como o volume económico, financeiro e social, pelo que será relevante perceber a importância destes temas na atualidade. Nesta dissertação será descrita a origem da Internet das Coisas, a sua definição (por vezes confundida com o termo Machine to Machine, redes interligadas de máquinas controladas e monitorizadas remotamente e que possibilitam a troca de dados (Bahga e Madisetti 2014)), o seu ecossistema que envolve a tecnologia, software, dispositivos, aplicações, a infra-estrutura envolvente, e ainda os aspetos relacionados com a segurança, privacidade e modelos de negócios da Internet das Coisas. Pretende-se igualmente explicar cada um dos “Vs” associados ao Big Data: Velocidade, Volume, Variedade e Veracidade, a importância da Business Inteligence e do Data Mining, destacando-se algumas técnicas utilizadas de modo a transformar o volume dos dados em conhecimento para as empresas. Um dos objetivos deste trabalho é a análise das áreas de IoT, modelos de negócio e as implicações do Big Data e da análise de dados como elementos chave para a dinamização do negócio de uma empresa nesta área. O mercado da Internet of Things tem vindo a ganhar dimensão, fruto da Internet e da tecnologia. Devido à importância destes dois recursos e á falta de estudos em Portugal neste campo, com esta dissertação, sustentada na metodologia do “Estudo do Caso”, pretende-se dar a conhecer a experiência portuguesa no mercado da Internet das Coisas. Visa-se assim perceber quais os mecanismos utilizados para trabalhar os dados, a metodologia, sua importância, que consequências trazem para o modelo de negócio e quais as decisões tomadas com base nesses mesmos dados. Este estudo tem ainda como objetivo incentivar empresas portuguesas que estejam neste mercado ou que nele pretendam aceder, a adoptarem estratégias, mecanismos e ferramentas concretas no que diz respeito ao Big Data e análise dos dados.

How small accounting firms can compete in an environment in which the big four are getting bigger

This paper sets out to determine how small accounting firms can compete in the United States in the early 21st century. The first chapter identifies the central goal of the paper: namely, to use existing literature and market data to define a business strategy for Ross & Moncure, Inc., a small accounting firm in the metropolitan Washington area. The second chapter is a literature review, and in it the author finds that large accounting firms are advantaged in terms of reputation, ability to diversify, and ability to retain employees, but are disadvantaged in their ability to form longstanding successful relationships with clients. In the third chapter, the author explores the relationship between the Big Four firms and their employees. The goal of this chapter is to determine how small accounting firms can compete for top talent in the HR market, and the author finds that this can be done by offering faster career progression and more client interaction. The fourth chapter looks at the market for accounting services in the United States, exploring the different options that consumers have to meet their accounting needs. It is found in this chapter that big and small accounting firms tend to compete for clients of different profiles. In the fifth chapter, the author uses proprietary company data to explore the composition, existing strategy and culture of Ross & Moncure. In the sixth chapter, all of the previous chapters come together to formulate a strategy and plan for action for Ross & Moncure: specifically, that the firm should further cultivate networks and relationships, and should create a fulfilling professional environment by increasing client-employee interaction, encouraging external education, and allowing employees to take on many different projects