Group Vector Space Method for Estimating the Normal Boiling Temperature and Enthalpy of Vaporization of Organic Compounds

2004 ◽  
Vol 49 (5) ◽  
pp. 1249-1253 ◽  
Author(s):  
Wei Wenying ◽  
Han Jinyu ◽  
Xu Wen
Keyword(s):  
Vector Space ◽  
Organic Compounds ◽  
Enthalpy Of Vaporization ◽  
Boiling Temperature ◽  
Space Method

Design and Implementation of Chinese Information Filtering System

2013 ◽  
Vol 756-759 ◽  
pp. 1164-1167
Author(s):  
Xiu Mei Zhang
Keyword(s):  
Information Processing ◽  
Vector Space ◽  
Information Filtering ◽  
Experimental Results ◽  
Important Research ◽  
Index Method ◽  
Network Information ◽  
Design And Implementation ◽  
Tree Index ◽  
Space Method

With the development of the network information, information processing is vital in all aspects. Information filtering is more important research aspect. Especially Chinese information filtering is urgent affairs. According to research of the domestic and abroad, in the article vector space method and hyB+ tree index method is combined to filter text. Experimental results show that, this method is feasible.

scholarly journals The Bond-Valence Substituent Index for Predicting the Boiling Temperatures of Aliphatic Hydrocarbons

KIMIKA ◽  
2020 ◽  
Vol 31 (1) ◽  
pp. 38-55
Author(s):  
Florentino C. Sumera ◽  
Stephani Jacutin ◽  
Jan Michael Aficial ◽  
Aileen Filipino
Keyword(s):  
Molecular Structure ◽  
Physical Properties ◽  
Organic Compounds ◽  
Topological Index ◽  
Predictive Power ◽  
Molecular Descriptor ◽  
Bond Valence ◽  
Aliphatic Hydrocarbons ◽  
Boiling Temperature ◽  
Small Deviations

A simple molecular descriptor based on molecular structure for predicting the boiling temperature (BT) of alkanes was developed in this paper. This topological index was used to correlate the boiling temperature of aliphatic hydrocarbons with their bond-valence substituent structure instead of by atom-to-atom branching framework. The predictive power of the bond-valence substituent index (BVSI) was evaluated by comparing it with the popular predictor in literature, the Randic index and the more recently proposed index, the Fi of Manso et al. (2012). The model developed through a second order regression of the plot of the alkane’s boiling temperature versus the BVSI index proved successful in its predictive power such that the method was also applied to a combination of aliphatic hydrocarbons, the alkanes, alkenes, alkynes and cycloalkanes. This topological index provided higher correlation with small deviations compared to the topological index used for comparison. A further study of the BVSI index can be explored for other organic compounds with different functional groups and other physical properties besides their boiling temperatures in the future.

RELATIVE IMPORTANCE OF FUEL PROPERTIES ON GDI FUEL SPRAY TIP PENETRATION

2014 ◽  
Vol 38 (3) ◽  
pp. 347-358 ◽  
Author(s):  
Simon Bruyère-Bergeron ◽  
Patrice Seers
Keyword(s):  
Direct Injection ◽  
Enthalpy Of Vaporization ◽  
Fuel Properties ◽  
Boiling Temperature ◽  
Fuel Spray ◽  
Relative Importance ◽  
Spray Tip Penetration

Experiments were conducted to propose correlations of fuel spray tip penetration of a direct-injection injector fed with ethanol, butanol, isooctane, gasoline, and associated blends at different injection and ambient pressures. Correlations are proposed that enable predicting spray tip penetration as a function of fuel properties. The main findings are that alcohols offer less penetration than isooctane and gasoline, which have similar behaviour at 295 K. Ambient density played a major role in spray tip penetration, while the boiling temperature and enthalpy of vaporization were important fuel properties under warmer conditions.

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