http://www.oercommons.org/browse/keyword/detection daily 1 2000-01-01T12:00+00:00 http://www.oercommons.org/courses/electronic-instrumentation Thiis course is a basic course on Instrumentation and Measurement. Firstly, the detection limit in a typical instrument for measurement of an electrical quantity is determined for: offset, finite common-mode rejection, noise and interference. The dominant source of uncertainty is identified and the equivalent input voltage/current sources are calculated. Secondly, the measurement of a non-electrical quantity is discussed. In this case the detection limit should be expressed in terms of the non-electrical input parameter of interest. Issues discussed are: (cross-)sensitivities in frequently used transduction effects, non-electrical source loading and noise in the non-electrical signal domain. Coupled domain formal modeling is subsequently introduced to facilitate analytical multi-domain system analysis. Finally, the detection limit in typical applications in the mechanical, thermal, optical and magnetic signal domain are analysed, along with circuit and system techniques to maximize overall system detectivity. The tools that are introduced in the course, such as the formal modeling and the calculation of the detection limit, are applied in the mid-term project to a real-world measurement problem. K.A.A. Makinwa Science and Technology 2013-05-22T11:04:38 Course Related Materials http://www.oercommons.org/courses/information-security This course focuses on the fundamentals of information security that are used in protecting both the information present in computer storage as well as information traveling over computer networks. Upon successful completion of this course, the student will be able to: explain the challenges and scope of information security; explain such basic security concepts as confidentiality, integrity, and availability, which are used frequently in the field of information security; explain the importance of cryptographic algorithms used in information security in the context of the overall information technology (IT) industry; identify and explain symmetric algorithms for encryption-based security of information; identify and explain public key-based asymmetric algorithms for encryption-based security of information; describe the access control mechanism used for user authentication and authorization; describe Secure Sockets Layer (SSL) as a common solution enabling security of many applications, including all Internet-based commerce; describe securing Internet Protocol (IP) communications by using Internet Protocol Security (IPSec); explain the importance of physical security and discuss ways to improve physical security of an enterprise; explain the use of such security tools as firewalls and intrusion prevention systems; explain malicious software issues, such as those brought forth by software-based viruses and worms; explain common software security issues, such as buffer overflow; describe the basic process of risk assessment in the context of overall IT security management. (Computer Science 406) Science and Technology 2011-11-16T14:27:45 Course Related Materials http://www.oercommons.org/courses/spectroscopy-2 Spectroscopy is the study of the interaction between matter and electromagnetic radiation. Molecules respond to different types of radiation in different ways, depending on the frequency - or wavelength - of the radiation. This one-semester course is designed to provide you with a more thorough description of the theory behind each spectroscopic technique as well as its applications. Upon successful completion of this course, the student will be able to: Discuss similarities and differences between spectrometry and spectroscopy; Identify the basic components of spectroscopic instrumentation; Demonstrate a working knowledge of mass spectroscopy (MS), ultraviolet-visible (UV-Vis) spectroscopy, infrared (IR) spectroscopy, and nuclear magnetic resonance (NMR) spectroscopy; Describe how a mass spectrometer produces its spectral patterns; Explain the information obtained from a UV-Vis spectrophotometer and how it can be used for analysis; Illustrate the mechanisms that give rise to the infrared absorption bands and identify to which functional groups each correspond; Demonstrate an understanding of the processes responsible for NMR chemical shifts and splitting patterns; Elucidate the structures of organic molecules from spectral data. (Chemistry 205) Science and Technology 2011-11-16T14:27:45 Course Related Materials http://www.oercommons.org/courses/principles-of-digital-communication-i-fall-2009 " The course serves as an introduction to the theory and practice behind many of today's communications systems. 6.450 forms the first of a two-course sequence on digital communication. The second class, 6.451 Principles of Digital Communication II, is offered in the spring. Topics covered include: digital communications at the block diagram level, data compression, Lempel-Ziv algorithm, scalar and vector quantization, sampling and aliasing, the Nyquist criterion, PAM and QAM modulation, signal constellations, finite-energy waveform spaces, detection, and modeling and system design for wireless communication." Feizi-Khankandi, Soheil M?dard, Muriel Science and Technology 2010-10-07T04:39:16 Course Related Materials http://www.oercommons.org/courses/principles-of-digital-communications-i-fall-2006 " The course serves as an introduction to the theory and practice behind many of today's communications systems. 6.450 forms the first of a two-course sequence on digital communication. The second class, 6.451, is offered in the spring. Topics covered include: digital communications at the block diagram level, data compression, Lempel-Ziv algorithm, scalar and vector quantization, sampling and aliasing, the Nyquist criterion, PAM and QAM modulation, signal constellations, finite-energy waveform spaces, detection, and modeling and system design for wireless communication." Gallager, Robert Zheng, Lizhong Science and Technology 2010-10-07T04:39:16 Course Related Materials http://www.oercommons.org/courses/icp-aes-analysis-of-nanoparticles ICP-AES is a spectral technique that is used to both determine the presence of metal analyte and the concentrations thereof. The ICP-AES method is introduced and a practical example is presented. This will help the reader to use this method for their own research work. Alvin Orbaek Andrew R. Barron Science and Technology 2009-06-17T01:07:02 Course Related Materials http://www.oercommons.org/courses/elements-of-detection-theory Introduction to the theory of detection. Don Johnson Science and Technology 2009-04-14T01:03:16 Course Related Materials http://www.oercommons.org/courses/west-nile-virus-problem-space As an emerging disease in the public eye, WNV continues to generate scientific interest as well. Researchers are exploring questions about its origin, evolution, transmission by multiple vectors and host tissues, replication in multiple hosts, viremic period, viral loads, seroconversion and antibody production, detection, vaccine potential, etc. Central to these investigations are the use of molecular data including nucleic acid sequences and the use of bioinformatics. Science and Technology 2008-03-06T08:07:06 Course Related Materials http://www.oercommons.org/courses/active-sonar-detection-in-ambient-noise This module introduces the active sonar problem for ambient noise that has constant power across the sonar receiver bandwidth. The result is a likelihood ratio of the ping history that includes a matched filter. Laurence Riddle Science and Technology 2007-10-30T11:49:00 Course Related Materials http://www.oercommons.org/courses/demodulation This module serves as an introduction to the problem of demodulation and detection: the decision procedure for deciding which signal of a set of signals was transmitted despite noise and attenuation. Behnaam Aazhang Science and Technology 2007-10-30T11:40:00 Course Related Materials http://www.oercommons.org/courses/demodulation-and-detection This module serves as an introduction to the problem of demodulation and detection: the decision procedure for deciding which signal of a set of signals was transmitted despite noise and attenuation. Behnaam Aazhang Science and Technology 2007-10-30T11:40:00 Course Related Materials http://www.oercommons.org/courses/motivation-and-background-information This module explains our motivation for undertaking the task of piano note detection, and background information on the mathematics of music that is relevant to our project. Alan Gostin Arts Science and Technology 2007-10-30T11:40:00 Course Related Materials http://www.oercommons.org/courses/musical-instrument-recognition-1 To detect the pitch and instrument of a monophonic signal. To decompose polyphonic signals into their component pitches and instruments by analyzing the waveform and spectra of each instrument. Elec 301 Project Fall 2005. Kyle Ringgenberg Patrick Kruse Yi-Chieh Wu Science and Technology 2007-10-30T11:40:00 Course Related Materials http://www.oercommons.org/courses/edge-detection This module investigates the use of Matlab filters to determine when notes are played within a recording from an electric guitar. Barron Stone Brent Stephens Neil Narayan Rob Smith Science and Technology 2007-10-30T11:36:00 Course Related Materials http://www.oercommons.org/courses/introduction-to-accent-classification-with-neural-networks This module provides an overview of Team SSB's final ELEC 301 project -- accent recognition and classification with a neural network Scott Novich Science and Technology 2007-10-30T11:33:00 Course Related Materials http://www.oercommons.org/courses/results-achievements-and-shortcomings-of-our-implementation This module provides example inputs and outputs of the piano note detection algorithm using our implementation. It also discusses what our algorithm and implementation do well and what they do inadequately. Alan Gostin Arts Science and Technology 2007-10-30T11:33:00 Course Related Materials http://www.oercommons.org/courses/detection-by-correlation This module describes a decision procedure for decoding received signals. The implementation and analysis of a correlation receiver is included. Behnaam Aazhang Science and Technology 2007-08-20T15:52:00 Course Related Materials http://www.oercommons.org/courses/matlab-code-that-implements-piano-note-detection This module contains the complete code that implements the Piano Note Detection algorithm described on the preceding pages. Alan Gostin Arts Science and Technology 2007-08-20T15:50:00 Course Related Materials http://www.oercommons.org/courses/possible-improvements-and-additional-projects This module contains a discussion of the main faults of the piano note detection program and how it could possibly be improved. It also suggests alternate methods that could be made into projects of their own. Alan Gostin Arts Science and Technology 2007-08-20T15:50:00 Course Related Materials http://www.oercommons.org/courses/music-classification-by-genre-beat-detection Tempo variation within a song Mitali Banerjee Science and Technology 2007-08-20T15:36:00 Course Related Materials