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Indoor thermal comfort comparison between passive solar house with active solar heating and without active solar heating in Tibetan
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Sustainable mobility governance in smart cities for urban policy development – a scoping review and conceptual model
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Heat exchangers for hydrogen tank filling
Get PDFThe purpose of this report is to give some basic facts about heat exchangers and summarize a series of simulations done on counter-flow concentric tube heat exchangers for hydrogen gas bunkering using the COMSOL Multiphysics software. Part 1 of this report consists of an exploration of how various system parameters (flowrates, pressures, and tube dimensions) influence the properties of a heat exchangers based on pure water as coolant. Part 2 discusses how the heat exchanger performance can be improved using ethylene glycol-water mixtures and compares these results to those using pure water coolant. The Appendix gives tables of heat transfer coefficients for heat exchangers of different sizes using pure water and ethylene glycol-water mixtures.publishedVersio
X-ray and Neutron Diffraction Studies of SrTe<inf>2</inf>FeO<inf>6</inf>Cl, an Oxide Chloride with Rare Anion Ordering
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Enhanced hydrophobicity of CeO2 thin films: Role of the morphology, adsorbed species and crystallography
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Revealing Silicon’s Delithiation Behaviour through Empirical Analysis of Galvanostatic Charge–Discharge Curves
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Cycling performance of silicon-carbon composite anodes enhanced through phosphate surface treatment
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Tackling Uncertainty Through Probabilistic Modelling of Proportionality in Military Operations
Get PDFJust as every neuron in a biological neural network is a reinforcement learning agent, thus a component of a large and advanced structure is de facto a model, the two main components forming the principle of proportionality in military operations can be seen and are as a matter of fact two different entities and models. These are collateral damage depicting the unintentional effects affecting civilians and civilian objects, and military advantage symbolizing the intentional effects contributing to achieving the military objectives defined for military operation conducted. These two entities are complex processes relying on available information, projection on time to the moment of target engagement through estimation and are strongly dependent of common-sense reasoning and decision making. As a deduction, these two components and the proportionality decision result are processes surrounded by various sources and types of uncertainty. However, the existing academic and practitioner efforts in understanding the meaning, dimensions, and implications of the proportionality principle are considering military-legal and ethical lenses, and less technical ones. Accordingly, this research calls for a movement from the existing vision of interpreting proportionality in a possibilistic way to a probabilistic way. Henceforth, this research aims to build two probabilistic Machine Learning models based on Bayesian Belief Networks for assessing proportionality in military operations. The first model embeds a binary classification approach assessing if the engagement is proportional or disproportional, and the second model that extends this perspective based on previous research to perform multi-class classification for assessing degrees of proportionality. To accomplish this objective, this research follows the Design Science Research methodology and conducts an extensive literature for building and demonstrating the model proposed. Finally, this research intends to contribute to designing and developing explainable and responsible intelligent solutions that support human-based military targeting decision-making processes involved when building and conducting military operations.publishedVersio
