Flow Controlled Thermosyphon using Multi-stacked Radiator Cores.
نویسندگان
چکیده
منابع مشابه
Disfluency Detection Using Multi-step Stacked Learning
In this paper, we propose a multi-step stacked learning model for disfluency detection. Our method incorporates refined n-gram features step by step from different word sequences. First, we detect filler words. Second, edited words are detected using n-gram features extracted from both the original text and filler filtered text. In the third step, additional n-gram features are extracted from e...
متن کاملInterpresing Noisy Prose using Heterogeneous Multi-cores
Currently, verbally dictating commands and programs to a computer is not practical because in our experiments, 10% to 15% of the words and 30% to 80% of the commands and statements were misrecognized by the Automatic Speech Recognition (ASR) systems. Interpreting Noisy Prose (INP) is a post ASR algorithm designed to execute on and utilize the extensive computing power of heterogeneous multi-cor...
متن کاملPredicting Flow Reversals in a Computational Fluid Dynamics Simulated Thermosyphon Using Data Assimilation.
A thermal convection loop is a annular chamber filled with water, heated on the bottom half and cooled on the top half. With sufficiently large forcing of heat, the direction of fluid flow in the loop oscillates chaotically, dynamics analogous to the Earth's weather. As is the case for state-of-the-art weather models, we only observe the statistics over a small region of state space, making pre...
متن کاملNovel radiator for carbon dioxide absorbents in low-flow anesthesia.
During long-term low-flow sevoflurane anesthesia, dew formation and the generation of compound A are increased in the anesthesia circuit because of elevated soda lime temperature. The object of this study was to develop a novel radiator for carbon dioxide absorbents used for long durations of low-flow sevoflurane anesthesia. Eleven female swine were divided into two groups comprising a "radiato...
متن کاملMulti-class Multi-scale Stacked Sequential Learning
One assumption in supervised learning is that data is independent and identically distributed. However, this assumption does not hold true in many real cases. Sequential learning is that discipline of machine learning that deals with dependent data. In this paper, we revise the Multi-Scale Sequential Learning approach (MSSL) for applying it in the multi-class case (MMSSL). We have introduced th...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: TRANSACTIONS OF THE JAPAN SOCIETY OF MECHANICAL ENGINEERS Series B
سال: 1998
ISSN: 0387-5016,1884-8346
DOI: 10.1299/kikaib.64.2238