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Read or Download Chemical, mechanical and materials engineering : selected, peer reviewed papers from the 2011 International Conference on Chemical, Mechanical and Materials Engineering (CMME2011), July 8-10, 2011, Guangzhou, China PDF
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Additional info for Chemical, mechanical and materials engineering : selected, peer reviewed papers from the 2011 International Conference on Chemical, Mechanical and Materials Engineering (CMME2011), July 8-10, 2011, Guangzhou, China
The result of sensory evaluations is shown in Table 6. Cigarette sensory quality includes taste and aroma. The evaluation panel comparison shows that when the filter is ventilated, the smoke is diluted. Not only are the taste, aroma and physiological strength weakened, but also the quality of aroma, the offensive odor, irritation and aftertaste are changed slightly. These sensory evaluations are consistent with the analytical results. Table 6. The results of sensory evaluations Filter ventilation 0 10% 30% 50% 70% Quality of aroma moderate moderate moderate moderate moderate - Volume of aroma rich rich a bit a bitpoor Physiological strength moderate moderate moderate weak+ weak Irritancy a bit+ a bita bita bitnothing Offensive odor a bit a bit a bita bita bit- After taste cozy+ cozy cozy cozy cozy - Conclusion It is clear from the foregoing discussion that the deliveries of aroma constituents, TPM, nicotine, tar, carbon monoxide and water in cigarette mainstream smoke decrease with increased filter ventilation.
Beitr. Tabakforsch. Int. 12 (1984) 178-185.  Parris, M. , C. N. Harward, and G. Vilcins: Simultaneous monitoring of filter ventilation and a gaseous component in whole cigarette smoke using tunable diode laser infrared spectroscopy. Beitr. Tabakforsch. Int. 13 (1986), p. 169-181. , R. A. Flath, and so on: Isolation of volatile components from model system. Agr. 25 (3) (1977), p. 446-449. 95 Wenhua Road, Zhengzhou 450002, Henan, P. China. Tel: 13213174720, Funding: State Tobacco Monopoly Administration P.
8) Data fusion in different granularity case. Data from different source may be sparse or dense. P-box can unify the different granularity into a same frame. References  Moore. Interval Analysis[M]. Prentice-Hall, Englewood Cliffs, New Jersey,1966:10-18  Williamson. Probabilistic Arithmetic[D]. D. dissertation, University of Queensland, Austrialia,1989:110-120  Walley. Statistical Reasoning with Imprecise Probabilities[M]. Chapman and Hall, London, 1991:51-58  Berleant. Automatically verified reasoning with both intervals and probability density functions.