Semi-automatic surface sediment sampling system – A prototype to be implemented in bivalve fishing surveys

2018 ◽  
Vol 152 ◽  
pp. 71-75 ◽  
Author(s):  
Marta M. Rufino ◽  
Paulo Baptista ◽  
Fábio Pereira ◽  
Miguel B. Gaspar
Keyword(s):  
Surface Sediment ◽  
Sampling System ◽  
System A ◽  
Sediment Sampling

scholarly journals Multi-proxy indicators in a Pontocaspian system: a depth transect of surface sediment in the SE Caspian Sea

2018 ◽  
Vol 21 (3-4) ◽  
pp. 143-165 ◽  
Author(s):  
Suzanne A.G. LEROY ◽  
Françoise CHALIÉ ◽  
Frank P. WESSELINGH ◽  
Mohammad Saeed SANJANI ◽  
Hamid A.K. LAHIJANI ◽  
...  
Keyword(s):  
Surface Sediment ◽  
Caspian Sea ◽  
System A ◽  
Proxy Indicators

ePS6.02 Detection of exhaled bacteria in cystic fibrosis lung using novel facemask sampling system: a feasibility study

2020 ◽  
Vol 19 ◽  
pp. S52
Author(s):  
R. Nair ◽  
A. Wisniewska ◽  
N. Dayman ◽  
O. Wardle ◽  
D. Modha ◽  
...  
Keyword(s):  
Cystic Fibrosis ◽  
Feasibility Study ◽  
Cystic Fibrosis Lung ◽  
Sampling System ◽  
System A

A deep-sea in-situ suspended sediment sampling system

1974 ◽  
Vol 17 (1) ◽  
pp. M35-M44 ◽  
Author(s):  
Robert M. Beer ◽  
J.Paul Dauphin ◽  
Thomas S. Sholes
Keyword(s):  
Suspended Sediment ◽  
Deep Sea ◽  
Sampling System ◽  
Sediment Sampling

At-Stream-Velocity Pumping Sediment Sampling System

1973 ◽  
Vol 99 (6) ◽  
pp. 873-887
Author(s):  
James P. Bennett
Keyword(s):  
Stream Velocity ◽  
Sampling System ◽  
Sediment Sampling

Application of the Dither Technology in a Fault Detection System

2013 ◽  
Vol 281 ◽  
pp. 71-74
Author(s):  
Na Chen ◽  
Shao Pu Yang ◽  
Cun Zhi Pan
Keyword(s):  
Fault Diagnosis ◽  
Fault Detection ◽  
Detection System ◽  
Signal To Noise Ratio ◽  
Sensor Signal ◽  
Signal To Noise ◽  
Sampling System ◽  
System A ◽  
Fault Diagnosis System ◽  
Direct Guidance

In a fault detection system A/D conversion is a necessary step, in which quantization issues are unavoidable. Problems about quantization effects can be solved properly by using the dither technique. Firstly quantization problems of A/D conversion in a fault diagnosis system are discussed. Then the principle of dithering technique is introduced from the view of probability statistics. In further more, it is tested that fault signals whose amplitude is less than the quantization interval can be extracted, and that coherent harmonic interference in quantizing process can also be eliminated. Finally the result shows that by using dither technique the system can gain an enhanced level of fault detection with a faint signal-to-noise ratio loss, which has a direct guidance on engineering design in sensor-signal-sampling system.

scholarly journals Volatile particles formation during PartEmis: a modelling study

2003 ◽  
Vol 3 (6) ◽  
pp. 5803-5829 ◽  
Author(s):  
X. Vancassel ◽  
A. Sorokin ◽  
P. Mirabel ◽  
A. Petzold ◽  
C. Wilson
Keyword(s):  
Particle Size ◽  
Growth Factors ◽  
Growth Factor ◽  
Soot Particle ◽  
Monodisperse Particles ◽  
Sampling System ◽  
System A ◽  
A Value ◽  
Key Parameter ◽  
Modelling Study

Abstract. A modelling study of the formation of volatile particles in a combustor exhaust has been carried out in the frame of the PartEmis European project. A kinetic model has been used in order to investigate nucleation efficiency of the H2O-H2SO4 binary mixture in the sampling system. A value for the fraction e of the fuel sulphur S(IV) converted into S(VI) has been indirectly deduced from comparisons between model results and measurements. In the present study, e ranges between roughly 2.5% and 6%, depending on the combustor settings and on the microphysical approach used. Soot particles hygroscopicity has also been investigated as their activation is a key parameter for contrail formation. Growth factors of monodisperse particles exposed to high relative humidity (95%) have been calculated and compared with experimental results. The modelling study confirms that the growth factor increases as the soot particle size decreases.

BIONESS, a New Design in Multiple Net Zooplankton Samplers

1980 ◽  
Vol 37 (4) ◽  
pp. 722-724 ◽  
Author(s):  
D. D. Sameoto ◽  
L. O. Jaroszynski ◽  
W. B. Fraser
Keyword(s):  
Data Collection ◽  
Biological Samples ◽  
Design Concept ◽  
Environmental Data ◽  
Environmental Sampling ◽  
Sampling System ◽  
Temperature Conductivity ◽  
Strobe Light ◽  
System A

BIONESS (Bedford Institute of Oceanography Net and Environmental Sampling System), a new multiple-net zooplankton and micronekton sampler, uses a new design concept with the nets arranged horizontally rather than vertically as in earlier multiple-net samplers. Ten 1.0-m2 nets open sequentially and are towed at 3 knots on a conductor cable that transmits and receives information between the ship and sampler. On the sampler are sensors for temperature, conductivity, depth, illumination, pitch, roll and yaw, and net closure together with internal and external flowmeters and a 35-mm camera equipped with a strobe light. This system can collect biological samples and environmental data simultaneously and photograph animals in front of the sampler.Key words: samplers, zooplankton, micronekton, instrumentation, photography, data collection, design

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