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Design and Analysis of a Heat Sink for a High Power LED System

J Padmaja, A Ravindra
2015 International Journal of Engineering Research and  
this study a conductor is intended to dissipate heat created by the contact of a high power crystal rectifier light-weight. the look involves a series of crystal rectifier lights in a very industrial  ...  Thermal management for crystal rectifier module could be a key style parameter as high operation temperature directly affects their most light-weight output, quality, dependability and life time. during  ...  Dae-Whan Kim et al [3] demonstrated that the two-phase thermo fluid characteristics of a dielectric liquid data obtained for single-phase water yielded excellent agreement with predictions for the convective  ... 
doi:10.17577/ijertv4is070752 fatcat:cgzkrfltybbh7nviwmo756gp4a

Modelica — A unified object-oriented language for physical systems modeling

Hilding Elmqvist
1997 Simulation Practice and Theory  
systems) and possibly using several formalisms (for example: ODE, DAE, bond graphs, finite state automata and Petri nets).  ...  The combined power of these concepts together with proven technology from existing modeling languages justifies a new attempt at introducing interoperability and openness to the world of modeling and simulation  ...  The authors are thankful for all the feedback that has been obtained from various people that have reviewed different versions of the design.  ... 
doi:10.1016/s0928-4869(97)84257-7 fatcat:thhwmtzlvnd3labq6ibsp3ezmq

Mechatronics [chapter]

2004 Mechatronic Systems  
The elements used in the bond graph approach can be divided into one, two and three-port networks.  ...  The calculation of bond graphs first of all requires the drawing up of a suitable system of equations, which is generally explicitly formulated.  ... 
doi:10.1002/0470867906.ch7 fatcat:jmndg5b4dfawpdo6uuwnlaxu4y

Deep Hawkes Process for High-Frequency Market Making [article]

Pankaj Kumar
2021 arXiv   pre-print
We design realistic simulations of limit order markets and develop a high-frequency market making strategy in which agents process order book information to post the optimal price, order type and execution  ...  The strategy makes a profit from the bid-ask spread for every buy and sell transaction, against the risk of adverse selection, uncertain execution and inventory risk.  ...  In pre-training, a greedy layer-wise structure is used to train each layer of DAE iteratively, to form a three-layer SDAE.  ... 
arXiv:2109.15110v1 fatcat:akkcpm3psbautdaj66wlb5jvk4

Machine Learning-Based Algorithms to Knowledge Extraction from Time Series Data: A Review

Giuseppe Ciaburro, Gino Iannace
2021 Data  
A time series represents a time sequence of numerical values observed in the past at a measurable variable.  ...  The prediction model extracts knowledge through an inductive process: the input is the data and, possibly, a first example of the expected output, the machine will then learn the algorithm to follow to  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/data6060055 fatcat:p4sl26ri5nfjboemkhaipxte74

Extraction of spatio-temporal primitives of emotional body expressions

Lars Omlor, Martin A. Giese
2007 Neurocomputing  
for the model, in numerical simulations.  ...  We simulate the signal flow in the A-and B-systems of a set of model columns across three hierarchical cortical areas.  ... 
doi:10.1016/j.neucom.2006.10.100 fatcat:esivhljzsbcihdl5qbp756josu

Relevance of time‐varying properties of the first formant frequency in vowel representation

Maria‐Gabriella Di Benedetto
1985 Journal of the Acoustical Society of America  
The technique is based upon a linear predictive model of the vocal tract, and the assumption of a "pseudo-closed phase" (PCP} (noisy closed phase} of the glottis during each pitch period.  ...  We will analyze an example of a TTS system, showing how these problems were handled in building and combining its numerous pieces.  ...  The simulation model utilizes a three-dimensional underice canopy synthesized from two-dimensional acoustic profile data.  ... 
doi:10.1121/1.2023018 fatcat:3lbckbce2rglzj7zx3fp4nhiui

Advances in Electron Microscopy with Deep Learning

Jeffrey Ede
2020 Zenodo  
Highlights include a comprehensive review of deep learning in electron microscopy; large new electron microscopy datasets for machine learning, dataset search engines based on variational autoencoders,  ...  This copy of my thesis is typeset for online dissemination to improve readability, whereas the thesis submitted to the University of Warwick in support of my application for the degree of Doctor of Philosophy  ...  In addition, part of the text in section 1.2 is adapted from our earlier work with permission 201 under a Creative Commons Attribution 4.0 73 license.  ... 
doi:10.5281/zenodo.4399748 fatcat:63ggmnviczg6vlnqugbnrexsgy

Advances in Electron Microscopy with Deep Learning

Jeffrey Ede
2020 Zenodo  
Highlights include a comprehensive review of deep learning in electron microscopy; large new electron microscopy datasets for machine learning, dataset search engines based on variational autoencoders,  ...  This version of my thesis is typeset for online dissemination to improve readability, whereas the thesis submitted to the University of Warwick in support of my application for the degree of Doctor of  ...  In addition, part of the text in section 1.2 is adapted from our earlier work with permission 201 under a Creative Commons Attribution 4.0 73 license.  ... 
doi:10.5281/zenodo.4598227 fatcat:hm2ksetmsvf37adjjefmmbakvq

Advances in Electron Microscopy with Deep Learning

Jeffrey Ede
2020 Zenodo  
Highlights include a comprehensive review of deep learning in electron microscopy; large new electron microscopy datasets for machine learning, dataset search engines based on variational autoencoders,  ...  This version of my thesis is typeset for online dissemination to improve readability, whereas the thesis submitted to the University of Warwick in support of my application for the degree of Doctor of  ...  In addition, part of the text in section 1.2 is adapted from our earlier work with permission 201 under a Creative Commons Attribution 4.0 73 license.  ... 
doi:10.5281/zenodo.4591029 fatcat:zn2hvfyupvdwlnvsscdgswayci

Abstracts of Working Papers in Economics

2000 Abstracts of Working Papers in Economics  
The authors estimate the model using French firm data and simulate various tax reforms.  ...  AB This paper studies the incentives facing Potentially Responsible Parties at a hazardous waste site to promote excessive investigation of the site and thus postpone the beginning of the remediation phase  ...  AB This paper develops a unified model of growth, population, and technological progress that is consistent with long-term historical evidence. The economy endogenously evolves through three phases.  ... 
doi:10.1017/s0951007900004915 fatcat:62y3byrmc5ag5czgxtoyqmhhdm

Advances in Electron Microscopy with Deep Learning

Jeffrey Ede
2020 Zenodo  
Highlights include a comprehensive review of deep learning in electron microscopy; large new electron microscopy datasets for machine learning, dataset search engines based on variational autoencoders,  ...  This copy of my thesis is typeset for online dissemination to improve readability, whereas the thesis submitted to the University of Warwick in support of my application for the degree of Doctor of Philosophy  ...  In addition, part of the text in section 1.2 is adapted from our earlier work with permission 201 under a Creative Commons Attribution 4.0 73 license.  ... 
doi:10.5281/zenodo.4413249 fatcat:35qbhenysfhvza2roihx52afuy

Advances in Electron Microscopy with Deep Learning

Jeffrey Ede
2020 Zenodo  
Highlights include a comprehensive review of deep learning in electron microscopy; large new electron microscopy datasets for machine learning, dataset search engines based on variational autoencoders,  ...  This copy of my thesis is typeset for online dissemination to improve readability, whereas the thesis submitted to the University of Warwick in support of my application for the degree of Doctor of Philosophy  ...  In addition, part of the text in section 1.2 is adapted from our earlier work with permission 201 under a Creative Commons Attribution 4.0 73 license.  ... 
doi:10.5281/zenodo.4429792 fatcat:qs6yuapx4vdbdmwna7ix7nnwty

Advances in Electron Microscopy with Deep Learning

Jeffrey Ede
2020 Zenodo  
Highlights include a comprehensive review of deep learning in electron microscopy; large new electron microscopy datasets for machine learning, dataset search engines based on variational autoencoders,  ...  This copy of my thesis is typeset for online dissemination to improve readability, whereas the thesis submitted to the University of Warwick in support of my application for the degree of Doctor of Philosophy  ...  In addition, part of the text in section 1.2 is adapted from our earlier work with permission 201 under a Creative Commons Attribution 4.0 73 license.  ... 
doi:10.5281/zenodo.4415407 fatcat:6dejwzzpmfegnfuktrld6zgpiq

Abstracts of Working Papers in Economics

2003 Abstracts of Working Papers in Economics  
The minimum bid rate and the level of secondary market rates play a crucial role in bidder behavior and auction performance. We also document that large bidders do better than small bidders.  ...  As national solvency regulation creates a positive international policy externality on foreign lenders of domestic banks, there will be an undersupply of such regulation.  ...  defined as sequences of high and low growth phases does.  ... 
doi:10.1017/s0951007900005945 fatcat:g2kskn3d25g3zaz6awnn2tkqwm
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