scholarly journals Determination of critical parameters in the analysis of road tunnel fires

2019 ◽  
Vol 29 (2) ◽  
pp. 187-198 ◽  
Author(s):  
Ali Haghighat ◽  
Kray Luxbacher
Keyword(s):  
Critical Parameters ◽  
Road Tunnel ◽  
Tunnel Fires

Determination of the applicable exhaust airflow rate through a ventilation shaft in the case of road tunnel fires

2010 ◽  
Vol 48 (6) ◽  
pp. 722-728 ◽  
Author(s):  
Ju-seog Ko ◽  
Chan-hoon Yoon ◽  
Sung-wook Yoon ◽  
Jin Kim
Keyword(s):  
Airflow Rate ◽  
Road Tunnel ◽  
Tunnel Fires ◽  
Ventilation Shaft

Machine Learning Predictive Models to Estimate the Minimum Miscibility Pressure of CO2-Oil System

2021 ◽  
Author(s):  
Abderraouf Chemmakh ◽  
Ahmed Merzoug ◽  
Habib Ouadi ◽  
Abdelhak Ladmia ◽  
Vamegh Rasouli
Keyword(s):  
Machine Learning ◽  
Predictive Models ◽  
Critical Parameters ◽  
Co2 Injection ◽  
Learning Models ◽  
Minimum Miscibility Pressure ◽  
Reservoir Conditions ◽  
Important Amount ◽  
Machine Learning Models

Abstract One of the most critical parameters of the CO2 injection (for EOR purposes) is the Minimum Miscibility Pressure MMP. The determination of this parameter is crucial for the success of the operation. Different experimental, analytical, and statistical technics are used to predict the MMP. Nevertheless, experimental technics are costly and tedious, while correlations are used for specific reservoir conditions. Based on that, the purpose of this paper is to build machine learning models aiming to predict the MMP efficiently and in broad-based reservoir conditions. Two ML models are proposed for both pure CO2 and non-pure CO2 injection. An important amount of data collected from literature is used in this work. The ANN and SVR-GA models have shown enhanced performance comparing to existing correlations in literature for both the pure and non-pure models, with a coefficient of R2 0.98, 0.93 and 0.96, 0.93 respectively, which confirms that the proposed models are reliable and ready to use.

Effectiveness of Laser Photoradiation Therapy following Hematoporphyrin Derivative Administration in the Experimental MS-2 Tumor Model

1983 ◽  
Vol 69 (4) ◽  
pp. 305-308 ◽  
Author(s):  
Franco Zunino ◽  
Renato Marchesini ◽  
Elsa Melloni ◽  
Giuseppina Savi ◽  
Gabriella Pezzoni ◽  
...  
Keyword(s):  
Light Intensity ◽  
Tumor Model ◽  
Drug Dose ◽  
Critical Parameters ◽  
Therapeutic Effects ◽  
Hematoporphyrin Derivative ◽  
Experimental Conditions ◽  
Laser Phototherapy ◽  
Dose Number

The effectiveness of laser photoradiation therapy with hematoporphyrin derivative sensitization was tested in the MS-2 sarcoma. This solid tumor, transplanted into the pad of the hind leg of BALB/c mice, was found to be a sensitive experimental model for a quantitative evaluation of response to phototherapy and for determination of critical parameters in laser phototherapy treatment. Under our experimental conditions, optimal therapeutic effects appeared to be critically dependent on drug dose, number of treatments, light intensity, and irradiation of the peripheral border of the tumor.

scholarly journals The effect of technical installations on evacuation performance in urban road tunnel fires

2021 ◽  
Vol 107 ◽  
pp. 103608 ◽  
Author(s):  
Yuxin Zhang ◽  
Hehua Zhu ◽  
Qinghua Guo ◽  
Ricky Carvel ◽  
Zhiguo Yan
Keyword(s):  
Road Tunnel ◽  
Urban Road ◽  
Tunnel Fires

scholarly journals Issues in Design and Development of Reliable Configurable Distributed Checkout and Launch System for Mission Critical Aero-Space Flight Vehicles

2020 ◽  
Vol 9 (4S2) ◽  
pp. 77-81
Keyword(s):  
System Reliability ◽  
Fault Tolerant ◽  
High Reliability ◽  
Critical Parameters ◽  
Health Checks ◽  
Flight Vehicles ◽  
Mission Critical ◽  
Criticality Analysis

Role of Configurable Distributed Checkout and Launch System (CDCLS) is pivotal in carrying out quick health checks and launching of Aerospace Flight Vehicles. Configurable Distributed Architecture provides flexibility for connecting nodes and scaling Distributed System. Different configurations can be derived from the Master Configuration. Since, Ultra high reliability and infallible performance of the CDCLS is of paramount importance, Safety criticality and Mission criticality analysis needs to be carried out for determination of mission critical parameters. These critical parameters need to be addressed by required fault tolerant architecture, which can be implemented in Hardware and Software for achieving system reliability objective (Say, 0.99).

Retrospective statistical analysis of lyophilized protein formulations of progenipoietin using PLS: Determination of the critical parameters for long-term storage stability

2004 ◽  
Vol 93 (10) ◽  
pp. 2609-2623 ◽  
Author(s):  
Derrick S. Katayama ◽  
Carol F. Kirchhoff ◽  
Carrie M. Elliott ◽  
Robert E. Johnson ◽  
Jeffry Borgmeyer ◽  
...  
Keyword(s):  
Statistical Analysis ◽  
Storage Stability ◽  
Critical Parameters ◽  
Long Term Storage ◽  
Protein Formulations ◽  
Term Storage

scholarly journals Sulfur dioxide layer height retrieval from Sentinel-5 Precursor/TROPOMI using FP_ILM

2019 ◽  
Vol 12 (10) ◽  
pp. 5503-5517 ◽  
Author(s):  
Pascal Hedelt ◽  
Dmitry S. Efremenko ◽  
Diego G. Loyola ◽  
Robert Spurr ◽  
Lieven Clarisse
Keyword(s):  
Sulfur Dioxide ◽  
Accurate Determination ◽  
Volcanic Eruptions ◽  
Critical Parameters ◽  
Layer Height ◽  
Learning Machine ◽  
The Impact ◽  
First Time ◽  
Better Than

Abstract. The accurate determination of the location, height, and loading of sulfur dioxide (SO2) plumes emitted by volcanic eruptions is essential for aviation safety. The SO2 layer height is also one of the most critical parameters with respect to determining the impact on the climate. Retrievals of SO2 plume height have been carried out using satellite UV backscatter measurements, but, until now, such algorithms are very time-consuming. We have developed an extremely fast yet accurate SO2 layer height retrieval using the Full-Physics Inverse Learning Machine (FP_ILM) algorithm. This is the first time the algorithm has been applied to measurements from the TROPOMI instrument onboard the Sentinel-5 Precursor platform. In this paper, we demonstrate the ability of the FP_ILM algorithm to retrieve SO2 plume layer heights in near-real-time applications with an accuracy of better than 2 km for SO2 total columns larger than 20 DU. We present SO2 layer height results for the volcanic eruptions of Sinabung in February 2018, Sierra Negra in June 2018, and Raikoke in June 2019, observed by TROPOMI.

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