Daniel Janocha's Books

Embedded Deep Learning

Algorithms, Architectures and Circuits for Always-on Neural Network Processing

By: Bert Moons,Daniel Bankman,Marian Verhelst

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Embedded Deep Learning

Algorithms, Architectures and Circuits for Always-on Neural Network Processing

By: Bert Moons,Daniel Bankman,Marian Verhelst

This book covers algorithmic and hardware implementation techniques to enable embedded deep learning. The authors describe synergetic design approaches on the application-, algorithmic-, computer architecture-, and circuit-level that will help in achieving the goal of reducing the computational cost of deep learning algorithms. The impact of these techniques is displayed in four silicon prototypes for embedded deep learning. Gives a wide overview of a series of effective solutions for energy-efficient neural networks on battery constrained wearable devices; Discusses the optimization of neural networks for embedded deployment on all levels of the design hierarchy – applications, algorithms, hardware architectures, and circuits – supported by real silicon prototypes; Elaborates on how to design efficient Convolutional Neural Network processors, exploiting parallelism and data-reuse, sparse operations, and low-precision computations; Supports the introduced theory and design concepts by four real silicon prototypes. The physical realization’s implementation and achieved performances are discussed elaborately to illustrated and highlight the introduced cross-layer design concepts.

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Page Count

216

Publisher

Springer

Published Date

ISBN 10

3319992236

ISBN 13

9783319992235

Pediatric Critical Care Medicine, An Issue of Pediatric Clinics of North America

By: Kathleen L. Meert,Daniel A. Notterman

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Pediatric Critical Care Medicine, An Issue of Pediatric Clinics of North America

By: Kathleen L. Meert,Daniel A. Notterman

The topics in this issue represent the most current research areas of the Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) Collaborative Pediatric Critical Care Research Network (CPCCRN). The CPCCRN is a national pediatric critical care research network that is charged with investigating the efficacy of treatment and management strategies to care for critically ill and injured children, as well as to better understand the pathophysiological basis of critical illness and injury in childhood. The proposed authors are past and present principal and co-investigators affiliated with the CPCCRN; the proposed topics represent the individual author’s area of clinical and research expertise. Each review article is an up-to-date review of the topic relevant to practicing clinicians and trainees in critical care medicine, with incorporation of the most recently published research findings pertinent to the topic, some of which may be the author’s own. The specific articles are devoted to the following topics: Cardiopulmonary resuscitation in pediatric and cardiac ICU; Approach to the critically ill pediatric trauma patient; Transfusion Decision Making in Pediatric Critical Illness; Pathophysiology and management of ARDS in children; Ventilator associate pneumonias in critically ill children; Mechanical ventilation and decision support in pediatric intensive care; Inflammation, pathobiology, phenotypes and sepsis: From meningococcemia to H1N1-MRSA, to Ebola; Immune paralysis in pediatric critical care; Molecular biology of critical illness; Sedation in pediatric critical illness; Delirium in pediatric critical illness; Challenges of drug development in pediatric intensive care; Potential of All Steroid Hormone Subclasses as Adjunctive Treatment for Sepsis; Morbidity: Changing the outcome paradigm; and End-of-Life and Bereavement Care in Pediatric Intensive Care Units.

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Page Count

249

Publisher

Elsevier Health Sciences

Published Date

ISBN 10

032354679X

ISBN 13

9780323546799

Stochastic Modeling of Stock Prices Incorporating Jump Diffusion and Shot Noise Models

By: Daniel Janocha

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Stochastic Modeling of Stock Prices Incorporating Jump Diffusion and Shot Noise Models

By: Daniel Janocha

Master's Thesis from the year 2016 in the subject Mathematics - Stochastics, grade: 1,7, Technical University of Darmstadt (Forschungsgebiet Stochastik), course: Mathematik - Finanzmathematik, language: English, abstract: In this thesis, we present a stochastic model for stock prices incorporating jump diffusion and shot noise models based on the work of Altmann, Schmidt and Stute ("A Shot Noise Model For Financial Assets") and on its continuation by Schmidt and Stute ("Shot noise processes and the minimal martingale measure"). These papers differ in modeling the decay of the jump effect: Whereas it is deterministic in the first paper, it is stochastic in the last paper. In general, jump effects exist because of overreaction due to news in the press, due to illiquidity or due to incomplete information, i.e. because certain information are available only to few market participants. In financial markets, jump effects fade away as time passes: On the one hand, if the stock price falls, new investors are motivated to buy the stock. On the other hand, a rise of the stock price may lead to profit-taking, i.e. some investors sell the stock in order to lock in gains. Shot noise models are based on Merton's jump diffusion models where the decline of the jump effect after a price jump is neglected. In contrast to jump diffusion models, shot noise models respect the decay of jump effects. In complete markets, the so-called equivalent martingale measure is used to price European options and for hedging. Since stock price models incorporating jumps describe incomplete markets, the equivalent martingale measure cannot be determined uniquely. Hence, in this thesis, we deduce the so-called equivalent minimal martingale measure, both in discrete and continuous time. In contrast to Merton's jump diffusion models and to the well-known pricing model of Black and Scholes, the presented shot noise models are able to reproduce volatility smile effects which can be observed in financial markets.

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Page Count

103

Publisher

GRIN Verlag

Published Date

ISBN 10

3656987599

ISBN 13

9783656987598

Book's by Daniel Janocha

Embedded Deep Learning

Embedded Deep Learning

Pediatric Critical Care Medicine, An Issue of Pediatric Clinics of North America

Pediatric Critical Care Medicine, An Issue of Pediatric Clinics of North America

Stochastic Modeling of Stock Prices Incorporating Jump Diffusion and Shot Noise Models

Stochastic Modeling of Stock Prices Incorporating Jump Diffusion and Shot Noise Models

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