Machine learning and its applications in reliability analysis systems

In this thesis, we are interested in exploring some aspects of Machine Learning (ML) and its application in the Reliability Analysis systems (RAs). We begin by investigating some ML paradigms and their- techniques, go on to discuss the possible applications of ML in improving RAs performance, and lastly give guidelines of the architecture of learning RAs. Our survey of ML covers both levels of Neural Network learning and Symbolic learning. In symbolic process learning, five types of learning and their applications are discussed: rote learning, learning from instruction, learning from analogy, learning from examples, and learning from observation and discovery. The Reliability Analysis systems (RAs) presented in this thesis are mainly designed for maintaining plant safety supported by two functions: risk analysis function, i.e., failure mode effect analysis (FMEA) ; and diagnosis function, i.e., real-time fault location (RTFL). Three approaches have been discussed in creating the RAs. According to the result of our survey, we suggest currently the best design of RAs is to embed model-based RAs, i.e., MORA (as software) in a neural network based computer system (as hardware). However, there are still some improvement which can be made through the applications of Machine Learning. By implanting the 'learning element', the MORA will become learning MORA (La MORA) system, a learning Reliability Analysis system with the power of automatic knowledge acquisition and inconsistency checking, and more. To conclude our thesis, we propose an architecture of La MORA

Marginalizing Risk

A major focus of finance is reducing risk on investments, a goal commonly achieved by dispersing the risk among numerous investors. Sometimes, however, risk dispersion can cause investors to underestimate and under-protect against risk. Risk can even be so widely dispersed that rational investors individually lack the incentive to monitor it. This Article examines the market failures resulting from risk dispersion and analyzes when government regulation may be necessary or appropriate to limit these market failures. The Article also examines how such regulation should be designed,including the extent to which it should limit risk dispersion in the first instance

New Directions in Compensation Research: Synergies, Risk, and Survival

We describe and use two theoretical frameworks, the resource-based view of the firm and institutional theory, as lenses for examining three promising areas of compensation research. First, we examine the nature of the relationship between pay and effectiveness. Does pay typically have a main effect or, instead, does the relationship depend on other human resource activities and organization characteristics? If the latter is true, then there are synergies between pay and these other factors and thus, conclusions drawn from main effects models may be misleading. Second, we discuss a relatively neglected issue in pay research, the concept of risk as it applies to investments in pay programs. Although firms and researchers tend to focus on expected returns from compensation interventions, analysis of the risk, or variability, associated with these returns may be essential for effective decision-making. Finally ,pay program survival, which has been virtually ignored in systematic pay research, is investigated. Survival appears to have important consequences for estimating pay plan risk and returns, and is also integral to the discussion of pay synergies. Based upon our two theoretical frameworks, we suggest specific research directions for pay program synergies, risk, and survival

A Comedy of Errors or, How I Learned to Stop Worrying and Love Sensibility‐Invariantism about ‘Funny’

In this article, I argue that sensibility‐invariantism about ‘funny’ is defensible, not just as a descriptive hypothesis, but, as a normative position as well. What I aim to do is to make the realist commitments of the sensibility‐invariantist out to be much more tenable than one might initially think them to be. I do so by addressing the two major sources of discontent with sensibility‐invariantism: the observation that discourse about comedy exhibits significant divergence in judgment, and the fact that disagreements about comedy, unlike disagreements about, say, geography, often strike us as fundamentally intractable

The Behavioral Paradox: Why Investor Irrationality Calls for Lighter and Simpler Financial Regulation

It is widely believed that behavioral economics justifies more intrusive regulation of financial markets, because people are not fully rational and need to be protected from their quirks. This Article challenges that belief. Firstly, insofar as people can be helped to make better choices, that goal can usually be achieved through light-touch regulations. Secondly, faulty perceptions about markets seem to be best corrected through market-based solutions. Thirdly, increasing regulation does not seem to solve problems caused by lack of market discipline, pricing inefficiencies, and financial innovation; better results may be achieved with freer markets and simpler rules. Fourthly, regulatory rule makers are subject to imperfect rationality, which tends to reduce the quality of regulatory intervention. Finally, regulatory complexity exacerbates the harmful effects of bounded rationality, whereas simple and stable rules give rise to positive learning effects

Dissonant Politics in Mubarak’s Egypt

For years now political scientists have been asking questions about why the Middle East remains one of the world’s least democratic regions. Given the recent Middle East war and the United States’ current project to build a democracy in Iraq, the question seems more significant than ever.Yet the topic continues to puzzle researchers around the globe as they contribute to a growing body of possible explanations for the phenomenon.While these explanations vary widely in form, they also reflect a constant and underlying question regarding what factors inhibit the formation of sustainable Middle Eastern democracies. This paper examines one such model in the context of contemporary Egypt to test its relevance to events actually occurring in the Arab world