다중혈관 관상동맥 환자에서 y-문합을 이용하여 양쪽 내흉동맥만을 사용한 우회술의 조기 성적

National Institute of Standards and Technology における超伝導研究及び生活

Thermophysical Properties Research Literature Retrieval Guide Edited by Y. S. Touloukian, J. K. Gerritsen and N. Y. Moore Second edition, revised and expanded. Book 1: Pp. xxi + 819. Book 2: Pp.621. Book 3: Pp. ix + 1315. (New York: Plenum Press, 1967.) n.p.

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Heat and Mass Transfer

Preface 1.General Considerations 2.Basic Processes in Atomization 3.Drop Size Distributions of Sprays 4.Atomizers 5.Flow in Atomizers 6.Atomizer Performance 7.External Spray Charcteristics 8.Drop Evaporation 9.Drop Sizing Methods Index

Atomization and Sprays

The recent advances in embedded processing have enabled the vision based systems to detect fire during surveillance using convolutional neural networks (CNNs). However, such methods generally need more computational time and memory, restricting its implementation in surveillance networks. In this research paper, we propose a cost-effective fire detection CNN architecture for surveillance videos. The model is inspired from GoogleNet architecture, considering its reasonable computational complexity and suitability for the intended problem compared to other computationally expensive networks such as AlexNet. To balance the efficiency and accuracy, the model is fine-tuned considering the nature of the target problem and fire data. Experimental results on benchmark fire datasets reveal the effectiveness of the proposed framework and validate its suitability for fire detection in CCTV surveillance systems compared to state-of-the-art methods.

Convolutional Neural Networks Based Fire Detection in Surveillance Videos

A dynamic approach for the impact of a toxic gas dispersion hazard considering human behaviour and dispersion modelling

Advances in modelling in CFD simulations of turbulent gaseous pool fires

Front Cover -- Table of contents -- Preface -- Nomenclature -- 1. Introduction -- 2. Turbulent flows with chemical reaction -- 3. Turbulent flames and fire plumes -- 4. Smoke plumes -- 5. Fire and smoke dynamics in enclosures -- 6. Driving forces in smoke and heat control -- 7. Impact of water on fire and smoke dynamics -- 8. Introduction to fire modelling in computational fluid dynamics -- References -- Back Cover.

Tarek Beji

Papers

A dynamic approach for the impact of a toxic gas dispersion hazard considering human behaviour and dispersion modelling

Advances in modelling in CFD simulations of turbulent gaseous pool fires

Fluid Mechanics Aspects of Fire and Smoke Dynamics in Enclosures

A global soot model developed for fires: Validation in laminar flames and application in turbulent pool fires

A novel soot model for fires: Validation in a laminar non-premixed flame