A double-mass block acceleration sensor based on FBG

Objectives The aims of the study were to evaluate the external contamination of hazardous drug vials used in Chinese hospitals and to compare environmental contamination generated by a robotic intelligent dispensing system (WEINAS) and a manual compounding procedure using a biological safety cabinet (BSC). Methods Cyclophosphamide, fluorouracil, and gemcitabine were selected as the representative hazardous drugs to monitor surface contamination of vials. In the comparative analysis of environmental contamination from manual and robotic compounding, wipe samples were taken from infusion bags, gloves, and the different locations of the BSC and the WEINAS robotic system. In this study, high-performance liquid chromatography coupled with double mass spectrometer (HPLC-MS/MS) was employed for sample analysis. Results (1) External contamination was measured on vials of all three hazardous drugs. The contamination detected on fluorouracil vials was the highest with an average amount up to 904.33 ng/vial, followed by cyclophosphamide (43.51 ng/vial), and gemcitabine (unprotected vials of 5.92 ng/vial, protected vials of 0.66 ng/vial); (2) overall, the environmental contamination induced by WEINAS robotic compounding was significantly reduced compared to that by manual compounding inside the BSC. Particularly, compared with manual compounding, the surface contamination on the infusion bags during robotic compounding was nearly nine times lower for cyclophosphamide (10.62 ng/cm2 vs 90.43 ng/cm2), two times lower for fluorouracil (3.47 vs 7.52 ng/cm2), and more than 23 times lower for gemcitabine (2.61 ng/cm2 vs 62.28 ng/cm2). Conclusions The external contamination occurred extensively on some hazardous drug vials that commonly used in Chinese hospitals. Comparison analysis for both compounding procedures revealed that robotic compounding can remarkably reduce environmental contamination.

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Design of a micropower signal conditioning circuit for a piezoresistive acceleration sensor

ISCAS '98. Proceedings of the 1998 IEEE International Symposium on Circuits and Systems (Cat. No.98CH36187) ◽

10.1109/iscas.1998.704364 ◽

2002 ◽

Cited By ~ 6

Author(s):

A. Arnaud ◽

M. Baru ◽

G. Picun ◽

F. Silveira

Keyword(s):

Signal Conditioning ◽

Acceleration Sensor ◽

Signal Conditioning Circuit ◽

Conditioning Circuit

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A Preliminary Study on the IoT-Based Pavement Monitoring Platform Based on the Piezoelectric-Cantilever-Beam Powered Sensor

Advances in Materials Science and Engineering ◽

10.1155/2017/4576026 ◽

2017 ◽

Vol 2017 ◽

pp. 1-6 ◽

Cited By ~ 7

Author(s):

Yue Hou ◽

Linbing Wang ◽

Dawei Wang ◽

Hailu Yang ◽

Meng Guo ◽

...

Keyword(s):

Cantilever Beam ◽

Vibrational Energy ◽

Acceleration Sensor ◽

Piezoelectric Energy ◽

Piezoelectric Cantilever ◽

Pavement Monitoring ◽

Preliminary Study ◽

Operation Cycle ◽

Infrastructure Health ◽

Monitoring Platform

Green and sustainable power supply for sensors in pavement monitoring system has attracted attentions of civil engineers recently. In this paper, the piezoelectric energy harvesting technology is used to provide the power for the acceleration sensor and Radio Frequency (RF) communication. The developed piezoelectric bimorph cantilever beam is used for collecting the vibrational energy. The energy collection circuit is used to charge the battery, where the power can achieve 1.68 mW and can meet the power need of acceleration sensor for data collection and transmission in one operation cycle, that is, 32.8 seconds. Based on the piezoelectric-cantilever-beam powered sensor, the preliminary study on the IoT-based pavement monitoring platform is suggested, which provides a new applicable approach for civil infrastructure health monitoring.

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Application of Practical Observer to Semi-Active Suspensions

Journal of Dynamic Systems Measurement and Control ◽

10.1115/1.482454 ◽

1998 ◽

Vol 122 (2) ◽

pp. 284-289 ◽

Cited By ~ 13

Author(s):

H. Nakai ◽

S. Oosaku ◽

Y. Motozono

Keyword(s):

Ride Comfort ◽

Difficult Problem ◽

Nonlinear Observer ◽

Vertical Acceleration ◽

Acceleration Sensor ◽

Active Suspensions ◽

Linear Observer ◽

Gain Scheduled

This paper presents the development of gain-scheduled observers for semi-active suspensions. The states of the semi-active suspensions must be accurately obtained because the accuracy directly affects system performances such as ride comfort. Nonlinearity in the absorber of the semi-active suspensions is a difficult problem for estimating the accurate states using conventional linear observer theories. To solve this problem, we have designed a new gain-scheduled observer by introducing two improvements. The validity of this nonlinear observer was confirmed by simulations and experiments. The results indicate that the present observer can accurately estimate the suspension stroke velocity using the vertical acceleration sensor on the sprung mass. [S0022-0434(00)02302-9]

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Bistable force\acceleration sensor based on pull-in voltage monitoring

2016 IEEE International Symposium on Inertial Sensors and Systems ◽

10.1109/isiss.2016.7435557 ◽

2016 ◽

Author(s):

Erez B. Benjamin ◽

Stella Lullinsky ◽

Slava Krylov

Keyword(s):

Acceleration Sensor

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Identification of the Impacts of Climate Changes and Human Activities on Runoff in the Jinsha River Basin, China

Advances in Meteorology ◽

10.1155/2017/4631831 ◽

2017 ◽

Vol 2017 ◽

pp. 1-9 ◽

Cited By ~ 2

Author(s):

Xiaowan Liu ◽

Dingzhi Peng ◽

Zongxue Xu

Keyword(s):

Water Balance ◽

River Basin ◽

Human Activities ◽

Climate Changes ◽

Balance Method ◽

Variation Method ◽

Rainfall Runoff ◽

Jinsha River ◽

Water Balance Method ◽

Double Mass

Quantifying the impacts of climate changes and human activities on runoff has received extensive attention, especially for the regions with significant elevation difference. The contributions of climate changes and human activities to runoff were analyzed using rainfall-runoff relationship, double mass curve, slope variation, and water balance method during 1961–2010 at the Jinsha River basin, China. Results indicate that runoff at upstream and runoff at midstream are both dominated by climate changes, and the contributions of climate changes to runoff are 63%~72% and 53%~68%, respectively. At downstream, climate changes account for only 13%~18%, and runoff is mainly controlled by human activities, contributing 82%~87%. The availability and stability of results were compared and analyzed in the four methods. Results in slope variation, double mass curve, and water balance method except rainfall-runoff relationship method are of good agreement. And the rainfall-runoff relationship, double mass curve, and slope variation method are all of great stability. The four methods and availability evaluation of them could provide a reference to quantification in the contributions of climate changes and human activities to runoff at similar basins in the future.

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