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Books on the topic 'Data Acquisition Device'

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Author: Grafiati
Published: 10 December 2022
Last updated: 29 January 2023

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1

Papell, S. Stephen. Acquisition and correlation of cryogenic nitrogen mass flow data through a multiple orifice Joule-Thomson device. [Washington, D.C.]: NASA, 1990.

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2

Build your own low-cost data acquisition and display devices. Blue Ridge Summit, PA: TAB Books, 1994.

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3

Ontario Educational Research Council. Conference. [Papers presented at the 33rd Annual Conference of the Ontario Educational Research Council, Toronto, Ontario, December 6-7, 1991]. [Ontario: s.n.], 1991.

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4

Ontario Educational Research Council. Conference. [Papers presented at the 28th Annual Conference of the Ontario Educational Research Council, Toronto, Ontario, Dec. 1986]. [Toronto, ON: s.n.]., 1986.

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5

Conference, Ontario Educational Research Council. [Papers presented at the 30th Annual Conference of the Ontario Educational Research Council, Toronto, Ontario, December 2-3, 1988]. [Toronto, ON: s.n.], 1988.

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6

Ontario Educational Research Council. Conference. [Papers presented at the 34th Annual Conference of the Ontario Educational Research Council, Toronto, Ontario, December 4 - 5, 1992]. [Ontario: s.n.], 1992.

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7

Ontario Educational Research Council. Conference. [Papers presented at the 32nd Annual Conference of the Ontario Educational Research Council, Toronto, Ontario, December 7-8, 1990]. [Ontario: s.n.], 1990.

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8

Ontario Educational Research Council. Conference. [Papers presented at the 36th Annual Conference of the Ontario Educational Research Council, Toronto, Ontario, December 2-3, 1994]. [Toronto, ON: s.n.], 1994.

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9

Ontario Educational Research Council. Conference. [Papers presented at the 35th Annual Conference of the Ontario Educational Research Council, Toronto, Ontario, December 3-4, 1993]. [Toronto, Ont: s.n, 1993.

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10

Conference, Ontario Educational Research Council. [Papers presented at the 31st Annual Conference of the Ontario Educational Research Council, Toronto, Ontario, December 8-9, 1989]. [Toronto, ON: s.n.], 1989.

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11

H, Saiyed Naseem, Nyland Ted W, and United States. National Aeronautics and Space Administration., eds. Acquisition and correlation of cryogenic nitrogen mass flow data through a multiple orifice Joule-Thomson device. [Washington, D.C.]: NASA, 1990.

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12

Institute, Southwest Research, and Lyndon B. Johnson Space Center., eds. Stand Alone Pressure Measurment Device (SAPMD) for the space shuttle orbiter: Final report [pts. 1-2]. [San Antonio, Tex: Southwest Research Institute], 1989.

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13

Corporation, National Semiconductor, ed. Data acquisition linear devices. Santa Clara, Calif: National Semiconductor Corp., 1989.

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14

Corporation, National Semiconductor, ed. Data acquisition linear devices: Databook. Santa Clara,Calif. (2900 Semiconductor Dr., Santa Clara, 95052-8090): National Semiconductor Corporation, 1989.

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15

Data acquisition linear devices: Databook. Santa Clara, Calif. (2900 Semiconductor Dr., Santa Clara, 95052-8090): National Semiconductor Corp., 1989.

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16

Data Acquisition Linear Devices Databook, 1989. Cmc Pubns, 1989.

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17

Build Your Own Low-Cost Data Acquisition and Display Devices. McGraw-Hill/TAB Electronics, 1993.

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18

Linear and Interface Circuits Applications: Peripheral Drivers, Data Acquisition Systems, and Hall Effect Devices. Texas Instruments, 1987.

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19

Prasad, Girijesh. Brain–machine interfaces. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199674923.003.0049.

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A brain–machine interface (BMI) is a biohybrid system intended as an alternative communication channel for people suffering from severe motor impairments. A BMI can involve either invasively implanted electrodes or non-invasive imaging systems. The focus in this chapter is on non-invasive approaches; EEG-based BMI is the most widely investigated. Event-related de-synchronization/ synchronization (ERD/ERS) of sensorimotor rhythms (SMRs), P300, and steady-state visual evoked potential (SSVEP) are the three main cortical activation patterns used for designing an EEG-based BMI. A BMI involves multiple stages: brain data acquisition, pre-processing, feature extraction, and feature classification, along with a device to communicate or control with or without neurofeedback. Despite extensive research worldwide, there are still several challenges to be overcome in making BMI practical for daily use. One such is to account for non-stationary brainwaves dynamics. Also, some people may initially find it difficult to establish a reliable BMI with sufficient accuracy. BMI research, however, is progressing in two broad areas: replacing neuromuscular pathways and neurorehabilitation.
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20

Banerjee, Amit, Hiroshi Inokawa, Arindam Biswas, and Aritra Acharyya. Emerging Trends in Terahertz Engineering and System Technologies: Devices, Materials, Imaging, Data Acquisition and Processing. Springer Singapore Pte. Limited, 2021.

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21

Banerjee, Amit, Hiroshi Inokawa, Arindam Biswas, and Aritra Acharyya. Emerging Trends in Terahertz Engineering and System Technologies: Devices, Materials, Imaging, Data Acquisition and Processing. Springer Singapore Pte. Limited, 2022.

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22

Sixth Goddard Conference on Mass Storage Systems and Technologies in cooperation with the fifteenth IEEE Symposium on Mass Storage Systems: Proceedings of a conference held at the Inn and Conference Center, University of Maryland, University College, College Park, Maryland, March 23-26, 1998. Greenbelt, Md: National Aeronautics and Space Administration, Goddard Space Flight Center, 1998.

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23

Arulkumaran, Nishkantha, and Maurizio Cecconi. Cardiac output assessment in the ICU. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199600830.003.0136.

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Haemodynamic monitoring facilitates effective resuscitation and the rapid assessment of the response to time-dependent vasoactive and fluid therapyin different shock states. Since the introduction of the pulmonary artery catheter, several minimally and non-invasive CO monitoring devices have been introduced to provide continuous monitoring and a dynamic profile of fluid responsiveness. Several of these monitors provide additional haemodynamic parameters including dynamic indices of preload and volumetric indices. Patient outcome is dependent accurate acquisition and interpretation of data and subsequent management. Whilst data from CO monitors offer valuable information on global hamodynamics, they do not preclude tissue hypoperfusion. Furthermore, there is no ‘ideal’ CO value for an individual patient, and the trend in haemodynamic parameters in response to therapy may be more informative than the absolute values. CO monitoring should be based upon the patient’s needs, the clinical scenario, and the experience of the treating physician.
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24

J, Glaab Louis, and Langley Research Center, eds. Experimental and numerical optimization of a high-lift system to improve low-speed performance, stability, and control of an arrow-wing supersonic transport. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 2000.

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25

Experimental and numerical optimization of a high-lift system to improve low-speed performance, stability, and control of an arrow-wing supersonic transport. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 2000.

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