An acoustic vector sensor （AVS） can capture more information than a conventional acoustic pressure sensor （APS）. As a result, more output channels are required when multiple AVS are formed into arrays, making processing the data stream computationally intense. This paper proposes a new algorithm based on the propagator method for wideband coherent sources that eliminates eigen-decomposition in order to reduce the computational burden. Data from simulations and lake trials showed that the new algorithm is valid： it resolves coherent sources, breaks left/right ambiguity, and allows inter element spacing to exceed a half-wavelength. 相似文献
We have investigated the usefulness of active stabilizing fins to reduce ship pitching under varying forward speeds, and
in varying wave lengths. A 4-m self-propelled model ship and an electrohydraulically driven stabilizing fin system were used
in our experiment. Pitch angles, pitch rates, and ship forward speeds were measured and fed back to a controller to calculate
the deflection angle of the stabilizing fin. The effects of fin nonlinearity on achievable pitch reduction performance are
discussed. It is shown that the desired pitch response can only be achieved when the fin is operated in the linear region.
The overall dynamic response of the ship approaches open-loop behavior when the degree of nonlinearity is high. This simple
analysis of the pitch stablizing system provides basic information to ship designers. Experimental results validate these
design guidelines.
Received for publication on Feb. 12, 1998; accepted on Dec. 8, 1999 相似文献
The amount of time we spend online has been increasing dramatically, influencing our daily travel and activity patterns. However, empirical studies on changes in the extent to which the amount of time spent online are related to changes in our activity and travel patterns are scarce, mainly due to a lack of available longitudinal or quasi-longitudinal data. This paper explores how the relationships between the time spent using the Internet, and the time spent on non-mandatory maintenance and leisure activities, have evolved over a decade. Maintenance activities include out-of-home activities such as shopping, banking, and doctor visits, while leisure activities include entertainment activities, visiting friends, sporting activities, and so forth. Our approach uses two datasets from two major cross-sectional surveys in Scotland, i.e. the 2005/06 Scottish Household Survey (SHS) and the 2015 Integrated Multimedia City Data (iMCD) Survey, which were similarly structured and formed. The multiple discrete–continuous extreme value (MDCEV) model and difference-in-differences (DD) estimation are applied and integrated to examine how the relationships between the time spent on the Internet and travel have changed over time and the direction and magnitude of the changes. Our findings suggest that the complementary associations between Internet use and individuals’ non-mandatory activity-travel time use are diminishing over time, whereas their substitutive associations are increasing. We additionally find that such temporal changes are significant in the case of those who spent moderate to high levels of time on the Internet (5 h or more online) per week.
