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This study is to explore south-eastern Asian migrant workers’ impacts and their influential factors of gathering/consumption activities on divided cities in Tainan City, Kaohsiung City and Taichung City. We will take on an empirical study in the cities’ commercial area or shopping street in three cities. Three major research methods are applied, including questionnaire survey, participant observation and regression analysis. Data will be obtained from the questionnaire answers of local inhabitants and analysed via SPSS10.3 statistical methods. The main outcomes of this study are as follows: 1) In Tainan City, Kaohsiung City and Taichung City, we have found that the partitioning of urban space has begun to become. Among this, the outcome of Taichung City is much stronger than that of the two other cities. 2) In the impacts of migrant workers’ gathering on commercial streets, community inhabitants also have more tolerant attitude than shop keepers. The community inhabitants of Taichung City have more hostile than those of the two other cities. 3) In comparison of South-eastern Asian migrant workers’ gathering in urban commercial area and its relations between the partitioning of urban space, from the viewpoint of local inhabitants, we have found different influential factors among Tainan City, Kaohsiung City and Taichung City. We can say that these factors will be valid predictable variables on divided cities resulted from migrant workers’ gathering/consumption activities in the paper. In the meantime, we can obtain these influential factors among these three cities through two variables: 1) community inhabitants’ socio-economic attributes and 2) community inhabitants’ responses to migrant workers’ gathering/consumption activities in commercial area. Basically we can find these influential factors among the paper which are the same as the Netherlands and Singapore, and not the same as Guangzhou, China.
This paper presents quiet zone
design using ultrasonic transducers for local active control in pure tone
diffuse fields. Most of researches in local active noise control used
conventional loudspeakers for the secondary sources to produce quiet zones.
Recently ultrasonic transducers have been used for the secondary sources to
control the plane wave in active noise control. However there is no research
related to active noise control in diffuse fields using ultrasonic transducers.
Therefore this study uses ultrasonic transducers for the secondary sources to
control the diffuse fields. The quiet zone produced using ultrasonic transducers
in single tone diffuse fields has been analyzed through simulations in this work.
The results showed that quiet zones created using ultrasonic transducers were
larger than those created using conventional loudspeakers. This is due to the
fact that the audible sound pressure produced by the ultrasonic transducers
decays slowly with the distance. Therefore the secondary field created by an
ultrasonic transducer could fit the primary field better and the larger zone of
quiet could be obtained using the ultrasonic transducer. Also the audible sound
produced by the ultrasonic transducers is directional; therefore the sound
pressure amplification outside the quiet zones was lower.？
In this paper, we
have proposed three classes of ratio-cum-product estimators for estimating population mean of study variable for two-phase sampling using multi-auxiliary
attributes for full information, partial information and no information cases.
The expressions for mean square errors are derived. An empirical study is given
to compare the performance of the estimator with the existing estimator that
utilizes auxiliary attribute or multiple auxiliary attributes. The ratio-cum-product
estimator in two-phase sampling for full information case has been found to be
more efficient than existing estimators and also ratio-cum-product estimator in
two-phase sampling for both partial and no information case. Finally, ratio-cum-product
estimator in two-phase sampling for partial information case has been found to
be more efficient than ratio-cum-product estimator in two-phase sampling for no
In this paper, we
have proposed a class of ratio-cum-product estimator for estimating population
mean of study variable for single phase sampling using multi-auxiliary
attributes. The expressions for mean square error are derived. An empirical
study is given to compare the performance of the estimator with existing
estimators. It has been found that the ratio-cum-product estimator using
multiple auxiliary attributes is more efficient than mean per unit, product and
ratio estimators using one auxiliary attribute, and Product and Ratio
estimators using multiple auxiliary attributes in single phase sampling.