![]() The runners had the same numbers of blades but different angles of attack. With analytical calculations, two runner geometries, A and B, were designed based on discharge and power functions, respectively, and further developed and tested. In this study, two openflume turbines were designed with these. The design of an openflume turbine blade depends on Ns parameters: power function and discharge function. ![]() ![]() Openflume turbines have more stability and efficiency than other types of turbines, such as Pelton, Turgo, undershot, breastshot, overshot and cross-flow turbines, because openflume turbines have wider non-dimensional Ns ranges. Addition- ally, we illustrate the significance of a correspondence by showing empirically that it yields satisfying results in complex domains. In this paper, we outline such a correspondence between pomdp and bdi by explaining how to specify one in terms of the other. This view is to be supported by a correspondence between an pomdp problem and a bdi agent. The idea is to view a bdi agent as a specification of an pomdp problem. In particular, we investi- gate the relationship between pomdp planning theory and belief-desire-intention (bdi) agent theory. means of specifying pomdp planning problems. We pro- pose a novel method for solving pomdps, which provides a designer with a more intuitive. However, such approaches are computationally hard and, from a design stance, are not necessarily intuitive for conceptualising many problems. Schuller thereby overturns long-accepted frameworks of the nature of race and sex difference, offers key corrective insights to modern debates surrounding the equation of racism with determinism and the liberatory potential of ideas about the plasticity of the body, and reframes contemporary notions of sentiment, affect, sexuality, evolution, and heredity.ĭecision theoretic planning in ai by means of solving Partially Observ- able Markov decision processes (pomdps) has been shown to be both powerful and versatile. Her historical and theoretical work exposes the overlooked role of sex difference in population management and the optimization of life, illuminating how models of binary sex function as one of the key mechanisms of racializing power. Through analyses of evolutionary theories, gynecological sciences, abolitionist poetry and other literary texts, feminist tracts, child welfare reforms, and black uplift movements, Schuller excavates a vast apparatus that regulated the capacity of sensory and emotional feeling in an attempt to shape the evolution of the national population. Schuller challenges prevalent interpretations of biopower and literary cultures to reveal how biopower emerged within the discourses and practices of sentimentalism. In The Biopolitics of Feeling Kyla Schuller unearths the forgotten, multiethnic sciences of impressibility-the capacity to be transformed by one's environment and experiences-to uncover how biopower developed in the United States. ![]() This introduction will be of a rather general nature and focus selectively on those aspects that are relevant for the topic of this book chapter. In the following section, I will give a short introduction to automated trading. In order to account for the distinctiveness of affective relations in algorithmic finance I suggest the concept of affective symbiosis. Moreover, it is the intensity of these affective relations that underpins the coherence of HFT socio-technical systems. This is somewhat counterintuitive, because it means that automation in fact intensifies complex human-machine relations. A historical comparison with previous affective relations in financial markets, such as attraction to the stock market ticker and syntheses with screens in manual trading, renders visible multiplied and intensified complex multi-frequential bonds – material, electrical, visual, acoustic, cognitive and bodily – between humans and machines. In order to delineate the affective specificity and singularity of the socio-technical ecology (affectif) in algorithmic finance, I use affect analysis to capture the multidimensional nature of human-machine relations. In this article, I apply an analysis of affects to results from my fieldwork of companies working in Algorithmic Trading and High-Frequency Trading (HFT), also known as “automated trading”. ![]()
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