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You searched for subject:(Sensor cross correlation). Showing records 1 – 7 of 7 total matches.

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University of Saskatchewan

1. Ouyang, Yuzhe 1989-. Measuring Seed Velocity and Seed Counting in a Pneumatic Conveying System using Electrostatic Sensors.

Degree: 2017, University of Saskatchewan

 The trend towards precision agriculture has led to the advent of a new generation of modern equipment for agriculture. Pneumatic conveying systems are widely used… (more)

Subjects/Keywords: Velocity Measurement; Counting; Electrostatic Sensor; Signal Denoising; Pattern Recognition; Cross-Correlation

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APA (6th Edition):

Ouyang, Y. 1. (2017). Measuring Seed Velocity and Seed Counting in a Pneumatic Conveying System using Electrostatic Sensors. (Thesis). University of Saskatchewan. Retrieved from http://hdl.handle.net/10388/8148

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Ouyang, Yuzhe 1989-. “Measuring Seed Velocity and Seed Counting in a Pneumatic Conveying System using Electrostatic Sensors.” 2017. Thesis, University of Saskatchewan. Accessed October 23, 2020. http://hdl.handle.net/10388/8148.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Ouyang, Yuzhe 1989-. “Measuring Seed Velocity and Seed Counting in a Pneumatic Conveying System using Electrostatic Sensors.” 2017. Web. 23 Oct 2020.

Vancouver:

Ouyang Y1. Measuring Seed Velocity and Seed Counting in a Pneumatic Conveying System using Electrostatic Sensors. [Internet] [Thesis]. University of Saskatchewan; 2017. [cited 2020 Oct 23]. Available from: http://hdl.handle.net/10388/8148.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Ouyang Y1. Measuring Seed Velocity and Seed Counting in a Pneumatic Conveying System using Electrostatic Sensors. [Thesis]. University of Saskatchewan; 2017. Available from: http://hdl.handle.net/10388/8148

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Queensland University of Technology

2. Gill, Rupinder S. Intrusion detection techniques in wireless local area networks.

Degree: 2009, Queensland University of Technology

 This research investigates wireless intrusion detection techniques for detecting attacks on IEEE 802.11i Robust Secure Networks (RSNs). Despite using a variety of comprehensive preventative security… (more)

Subjects/Keywords: wireless intrusion detection, 802.11 wireless networks, specification-based intrusion detection, anomaly-based intrusion detection, state transition modelling, security policy compliance monitoring, cross sensor correlation; cross detection technique correlation, automatic attack scenario recognition, attack scenario prioritization

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APA (6th Edition):

Gill, R. S. (2009). Intrusion detection techniques in wireless local area networks. (Thesis). Queensland University of Technology. Retrieved from https://eprints.qut.edu.au/29351/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Gill, Rupinder S. “Intrusion detection techniques in wireless local area networks.” 2009. Thesis, Queensland University of Technology. Accessed October 23, 2020. https://eprints.qut.edu.au/29351/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Gill, Rupinder S. “Intrusion detection techniques in wireless local area networks.” 2009. Web. 23 Oct 2020.

Vancouver:

Gill RS. Intrusion detection techniques in wireless local area networks. [Internet] [Thesis]. Queensland University of Technology; 2009. [cited 2020 Oct 23]. Available from: https://eprints.qut.edu.au/29351/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Gill RS. Intrusion detection techniques in wireless local area networks. [Thesis]. Queensland University of Technology; 2009. Available from: https://eprints.qut.edu.au/29351/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

3. Chen, Chengshang. Rear Approaching Vehicle Detection with Microphone.

Degree: Computer and Electrical Engineering (IDE), 2013, Halmstad University

  When a cyclist is cycling on a suburban road, it’s a problem to notice fast rear approaching vehicles in some cases. Looking back frequently… (more)

Subjects/Keywords: rear approaching vehicle; sensor; microphone; frequency spectrum; cross-correlation coefficient

…21 2.6 Cross-correlation… …52 4.4 Cross-correlation coefficient… …variation when vehicle passes the cyclist 2.6 Cross-correlation Cross-correlation is a concept… …correlation function of f1 (t) and f2 (t) is If we compute normalized cross… …correlation function, namely cross-correlation coefficient, it’s between -1 to +1. The sign of the… 

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APA (6th Edition):

Chen, C. (2013). Rear Approaching Vehicle Detection with Microphone. (Thesis). Halmstad University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-23565

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Chen, Chengshang. “Rear Approaching Vehicle Detection with Microphone.” 2013. Thesis, Halmstad University. Accessed October 23, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-23565.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Chen, Chengshang. “Rear Approaching Vehicle Detection with Microphone.” 2013. Web. 23 Oct 2020.

Vancouver:

Chen C. Rear Approaching Vehicle Detection with Microphone. [Internet] [Thesis]. Halmstad University; 2013. [cited 2020 Oct 23]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-23565.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Chen C. Rear Approaching Vehicle Detection with Microphone. [Thesis]. Halmstad University; 2013. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-23565

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

4. Dvorak, Joseph Scot. An optical water velocity sensor for open channel flows.

Degree: PhD, Department of Biological and Agricultural Engineering, 2012, Kansas State University

 An optical sensor for determining water velocity in natural open channels like creeks and rivers has been designed and tested. The sensor consists of a… (more)

Subjects/Keywords: Flow velocity measurement; Optical sensor; Cross correlation; Natural open channel; Computational fluid dynamics; Engineering, Agricultural (0539)

…84 Figure 35. Cross Section of Pineknot Creek at Sensor and Gaging Station Location used as… …cross correlation. ......... 92 Figure 38. Signals from 45° Phototransistors with a Water… …as Determined by the Cross Correlation. ... 92 Figure 39. Signals from 180… …to Align the Signals as Determined by the Cross Correlation. ... 93 Figure 40. Signals from… …x28;b) Shifted to Align the Signals as Determined by the Cross Correlation… 

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APA (6th Edition):

Dvorak, J. S. (2012). An optical water velocity sensor for open channel flows. (Doctoral Dissertation). Kansas State University. Retrieved from http://hdl.handle.net/2097/13979

Chicago Manual of Style (16th Edition):

Dvorak, Joseph Scot. “An optical water velocity sensor for open channel flows.” 2012. Doctoral Dissertation, Kansas State University. Accessed October 23, 2020. http://hdl.handle.net/2097/13979.

MLA Handbook (7th Edition):

Dvorak, Joseph Scot. “An optical water velocity sensor for open channel flows.” 2012. Web. 23 Oct 2020.

Vancouver:

Dvorak JS. An optical water velocity sensor for open channel flows. [Internet] [Doctoral dissertation]. Kansas State University; 2012. [cited 2020 Oct 23]. Available from: http://hdl.handle.net/2097/13979.

Council of Science Editors:

Dvorak JS. An optical water velocity sensor for open channel flows. [Doctoral Dissertation]. Kansas State University; 2012. Available from: http://hdl.handle.net/2097/13979


Kansas State University

5. Zhang, Yali. An optical sensor for in-stream monitoring of suspended sediment concentration.

Degree: PhD, Department of Biological & Agricultural Engineering, 2009, Kansas State University

 Suspended sediment concentration (SSC) in water is one of the most important parameters to evaluate water quality. Monitoring SSC provides important information on determining sediment… (more)

Subjects/Keywords: Suspended-sediment concentration; Fouling; Water quality; Cross-correlation; Optical sensor; Flow velocity measurement; Engineering, Agricultural (0539); Engineering, Electronics and Electrical (0544); Engineering, Environmental (0775)

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APA (6th Edition):

Zhang, Y. (2009). An optical sensor for in-stream monitoring of suspended sediment concentration. (Doctoral Dissertation). Kansas State University. Retrieved from http://hdl.handle.net/2097/7074

Chicago Manual of Style (16th Edition):

Zhang, Yali. “An optical sensor for in-stream monitoring of suspended sediment concentration.” 2009. Doctoral Dissertation, Kansas State University. Accessed October 23, 2020. http://hdl.handle.net/2097/7074.

MLA Handbook (7th Edition):

Zhang, Yali. “An optical sensor for in-stream monitoring of suspended sediment concentration.” 2009. Web. 23 Oct 2020.

Vancouver:

Zhang Y. An optical sensor for in-stream monitoring of suspended sediment concentration. [Internet] [Doctoral dissertation]. Kansas State University; 2009. [cited 2020 Oct 23]. Available from: http://hdl.handle.net/2097/7074.

Council of Science Editors:

Zhang Y. An optical sensor for in-stream monitoring of suspended sediment concentration. [Doctoral Dissertation]. Kansas State University; 2009. Available from: http://hdl.handle.net/2097/7074


Georgia Tech

6. Vuran, Mehmet Can. Correlation-based Cross-layer Communication in Wireless Sensor Networks.

Degree: PhD, Electrical and Computer Engineering, 2007, Georgia Tech

 Wireless sensor networks (WSN) are event based systems that rely on the collective effort of densely deployed sensor nodes continuously observing a physical phenomenon. The… (more)

Subjects/Keywords: Spatio-temporal correlation; Wireless sensor networks; Cross-layer design; Medium access control; Error control; XLM; CC-MAC; Packet size optimization; Sensor networks; Wireless communication systems; Electric network topology; Error analysis (Mathematics)

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Vuran, M. C. (2007). Correlation-based Cross-layer Communication in Wireless Sensor Networks. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/16135

Chicago Manual of Style (16th Edition):

Vuran, Mehmet Can. “Correlation-based Cross-layer Communication in Wireless Sensor Networks.” 2007. Doctoral Dissertation, Georgia Tech. Accessed October 23, 2020. http://hdl.handle.net/1853/16135.

MLA Handbook (7th Edition):

Vuran, Mehmet Can. “Correlation-based Cross-layer Communication in Wireless Sensor Networks.” 2007. Web. 23 Oct 2020.

Vancouver:

Vuran MC. Correlation-based Cross-layer Communication in Wireless Sensor Networks. [Internet] [Doctoral dissertation]. Georgia Tech; 2007. [cited 2020 Oct 23]. Available from: http://hdl.handle.net/1853/16135.

Council of Science Editors:

Vuran MC. Correlation-based Cross-layer Communication in Wireless Sensor Networks. [Doctoral Dissertation]. Georgia Tech; 2007. Available from: http://hdl.handle.net/1853/16135


Georgia Tech

7. Rosen, Gail L. Signal processing for biologically-inspired gradient source localization and DNA sequence analysis.

Degree: PhD, Electrical and Computer Engineering, 2006, Georgia Tech

 Biological signal processing can help us gain knowledge about biological complexity, as well as using this knowledge to engineer better systems. Three areas are identified… (more)

Subjects/Keywords: DNA analysis; Ficks second law; Hebbian learning; Biased random walk; Sensor cross-correlation; Delay-and-Sum beamforming; Turbulent plumes; Electronic nose; Tandem repeats; Gradient sensing; Bacterial chemotaxis navigation; Chemotaxis; Sensor networks; Signal processing; Biologically-inspired computing; Chemotaxis; Nervous system Degeneration; Nucleotide sequence

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APA (6th Edition):

Rosen, G. L. (2006). Signal processing for biologically-inspired gradient source localization and DNA sequence analysis. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/11628

Chicago Manual of Style (16th Edition):

Rosen, Gail L. “Signal processing for biologically-inspired gradient source localization and DNA sequence analysis.” 2006. Doctoral Dissertation, Georgia Tech. Accessed October 23, 2020. http://hdl.handle.net/1853/11628.

MLA Handbook (7th Edition):

Rosen, Gail L. “Signal processing for biologically-inspired gradient source localization and DNA sequence analysis.” 2006. Web. 23 Oct 2020.

Vancouver:

Rosen GL. Signal processing for biologically-inspired gradient source localization and DNA sequence analysis. [Internet] [Doctoral dissertation]. Georgia Tech; 2006. [cited 2020 Oct 23]. Available from: http://hdl.handle.net/1853/11628.

Council of Science Editors:

Rosen GL. Signal processing for biologically-inspired gradient source localization and DNA sequence analysis. [Doctoral Dissertation]. Georgia Tech; 2006. Available from: http://hdl.handle.net/1853/11628

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