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In this paper, multi-walled carbon nanotube (MWCNT) ink was selectively patterned by inkjet printing on substrates to form conductive traces and electrodes for interconnection application. MWCNT was firstly functionalized using concentrated acid and dispersed in deionized water to form a colloidal solution. Various concentrations of MWCNT were formulated to test the stability of the solution. The printability of the MWCNT ink was examined against printing temperature, ink concentration and ink droplet pitch. Rheological properties of the ink were determined by rheometer and sessile drop method. The electrical conductivity of the MWCNT pattern was measured against multiple printing of MWCNT on the same pattern (up to 10 layers). While single layer printing pattern exhibited highest resistance, the CNT entangled together and formed a random network with more printed layers has higher conductivity. The electrical properties of the printed film was compared to a composite ink of CNT and conducting polymer (CNT ink was mixed with conductive polymer solution, Poly(3,4-ethylenedioxythiophene)-Poly(styrenesulfonate) (PEDOT:PSS)). Scanning electron microscopy (SEM) was used to observe the surface structure and atomic force microscopy (AFM) was used to study the morphology of the printed film under different conditions. 相似文献
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Jiawei?HanEmail author Yixin?Chen Guozhu?Dong Jian?Pei Benjamin?W.?Wah Jianyong?Wang Y.?Dora?Cai 《Distributed and Parallel Databases》2005,18(2):173-197
Real-time surveillance systems, telecommunication systems, and other dynamic environments often generate tremendous (potentially
infinite) volume of stream data: the volume is too huge to be scanned multiple times. Much of such data resides at rather
low level of abstraction, whereas most analysts are interested in relatively high-level dynamic changes (such as trends and
outliers). To discover such high-level characteristics, one may need to perform on-line multi-level, multi-dimensional analytical
processing of stream data. In this paper, we propose an architecture, called stream_cube, to facilitate on-line, multi-dimensional,
multi-level analysis of stream data.
For fast online multi-dimensional analysis of stream data, three important techniques are proposed for efficient and effective
computation of stream cubes. First, a tilted time frame model is proposed as a multi-resolution model to register time-related data: the more recent data are registered at finer
resolution, whereas the more distant data are registered at coarser resolution. This design reduces the overall storage of
time-related data and adapts nicely to the data analysis tasks commonly encountered in practice. Second, instead of materializing
cuboids at all levels, we propose to maintain a small number of critical layers. Flexible analysis can be efficiently performed based on the concept of observation layer and minimal interesting layer. Third, an efficient stream data cubing algorithm is developed which computes only the layers (cuboids) along a popular path and leaves the other cuboids for query-driven, on-line computation. Based on this design methodology, stream data cube can
be constructed and maintained incrementally with a reasonable amount of memory, computation cost, and query response time.
This is verified by our substantial performance study.
Recommended by: Ahmed Elmagarmid 相似文献
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Helmet use and motorcycle fatalities in Taiwan 总被引:1,自引:0,他引:1
Keng SH 《Accident; analysis and prevention》2005,37(2):349-355
Motorcycle deaths accounted for more than half of total traffic fatalities in Taiwan in 2002. This study uses the police-reported crash data from Taiwan between 1999 and 2001 to estimate the effectiveness of helmets, simultaneously taking into account of sample selection bias. Sample selection arises because helmet usage will affect the probability of death or injury, which in turn influences whether a crash is included in the data. The results show that sample selection does not seriously bias the estimate of helmet effectiveness and helmets reduce the probability of death in a crash by 40%, which is higher than what was previously found. Without helmets, the number of motorcyclists killed in 2001 would have jumped by 51%. The estimated proportion of helmeted motorcyclists has increased from 71 to 78% between 1999 and 2001, suggesting that helmet use is rising after the implementation of mandatory helmet law in 1997. Also, helmets significantly reduce the likelihood of head and neck injuries in a crash by 53%, and lead to a 71% reduction in the probability of death caused by head and neck injuries. 相似文献
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M W Clark W W Zhong T Keng R K Storms A Barton D B Kaback H Bussey 《Yeast (Chichester, England)》1992,8(2):133-145