AMX Glossary of AV Terms
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Glossary Physics (I-Introduction)
1 Glossary Physics (I-introduction) - Efficiency: The percent of the work put into a machine that is converted into useful work output; = work done / energy used [-]. = eta In machines: The work output of any machine cannot exceed the work input (<=100%); in an ideal machine, where no energy is transformed into heat: work(input) = work(output), =100%. Energy: The property of a system that enables it to do work. Conservation o. E.: Energy cannot be created or destroyed; it may be transformed from one form into another, but the total amount of energy never changes. Equilibrium: The state of an object when not acted upon by a net force or net torque; an object in equilibrium may be at rest or moving at uniform velocity - not accelerating. Mechanical E.: The state of an object or system of objects for which any impressed forces cancels to zero and no acceleration occurs. Dynamic E.: Object is moving without experiencing acceleration. Static E.: Object is at rest.F Force: The influence that can cause an object to be accelerated or retarded; is always in the direction of the net force, hence a vector quantity; the four elementary forces are: Electromagnetic F.: Is an attraction or repulsion G, gravit. const.6.672E-11[Nm2/kg2] between electric charges: d, distance [m] 2 2 2 2 F = 1/(40) (q1q2/d ) [(CC/m )(Nm /C )] = [N] m,M, mass [kg] Gravitational F.: Is a mutual attraction between all masses: q, charge [As] [C] 2 2 2 2 F = GmM/d [Nm /kg kg 1/m ] = [N] 0, dielectric constant Strong F.: (nuclear force) Acts within the nuclei of atoms: 8.854E-12 [C2/Nm2] [F/m] 2 2 2 2 2 F = 1/(40) (e /d ) [(CC/m )(Nm /C )] = [N] , 3.14 [-] Weak F.: Manifests itself in special reactions among elementary e, 1.60210 E-19 [As] [C] particles, such as the reaction that occur in radioactive decay. -
Acoustical Engineering
National Aeronautics and Space Administration Engineering is Out of This World! Acoustical Engineering NASA is developing a new rocket called the Space Launch System, or SLS. The SLS will be able to carry astronauts and materials, known as payloads. Acoustical engineers are helping to build the SLS. Sound is a vibration. A vibration is a rapid motion of an object back and forth. Hold a piece of paper up right in front of your lips. Talk or sing into the paper. What do you feel? What do you think is causing the vibration? If too much noise, or acoustical loading, is ! caused by air passing over the SLS rocket, the vehicle could be damaged by the vibration! NAME: (Continued from front) Typical Sound Levels in Decibels (dB) Experiment with the paper. 130 — Jet takeoff Does talking louder or softer change the vibration? 120 — Pain threshold 110 — Car horn 100 — Motorcycle Is the vibration affected by the pitch of your voice? (Hint: Pitch is how deep or 90 — Power lawn mower ! high the sound is.) 80 — Vacuum cleaner 70 — Street traffic —Working area on ISS (65 db) Change the angle of the paper. What 60 — Normal conversation happens? 50 — Rain 40 — Library noise Why do you think NASA hires acoustical 30 — Purring cat engineers? (Hint: Think about how loud 20 — Rustling leaves rockets are!) 10 — Breathing 0 — Hearing Threshold How do you think the noise on an airplane compares to the noise on a rocket? Hearing protection is recommended at ! 85 decibels. NASA is currently researching ways to reduce the noise made by airplanes. -
Radar Transmitter/Receiver
Introduction to Radar Systems Radar Transmitter/Receiver Radar_TxRxCourse MIT Lincoln Laboratory PPhu 061902 -1 Disclaimer of Endorsement and Liability • The video courseware and accompanying viewgraphs presented on this server were prepared as an account of work sponsored by an agency of the United States Government. Neither the United States Government nor any agency thereof, nor any of their employees, nor the Massachusetts Institute of Technology and its Lincoln Laboratory, nor any of their contractors, subcontractors, or their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, products, or process disclosed, or represents that its use would not infringe privately owned rights. Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise does not necessarily constitute or imply its endorsement, recommendation, or favoring by the United States Government, any agency thereof, or any of their contractors or subcontractors or the Massachusetts Institute of Technology and its Lincoln Laboratory. • The views and opinions expressed herein do not necessarily state or reflect those of the United States Government or any agency thereof or any of their contractors or subcontractors Radar_TxRxCourse MIT Lincoln Laboratory PPhu 061802 -2 Outline • Introduction • Radar Transmitter • Radar Waveform Generator and Receiver • Radar Transmitter/Receiver Architecture -
Standing Waves and Sound
Standing Waves and Sound Waves are vibrations (jiggles) that move through a material Frequency: how often a piece of material in the wave moves back and forth. Waves can be longitudinal (back-and- forth motion) or transverse (up-and- down motion). When a wave is caught in between walls, it will bounce back and forth to create a standing wave, but only if its frequency is just right! Sound is a longitudinal wave that moves through air and other materials. In a sound wave the molecules jiggle back and forth, getting closer together and further apart. Work with a partner! Take turns being the “wall” (hold end steady) and the slinky mover. Making Waves with a Slinky 1. Each of you should hold one end of the slinky. Stand far enough apart that the slinky is stretched. 2. Try making a transverse wave pulse by having one partner move a slinky end up and down while the other holds their end fixed. What happens to the wave pulse when it reaches the fixed end of the slinky? Does it return upside down or the same way up? Try moving the end up and down faster: Does the wave pulse get narrower or wider? Does the wave pulse reach the other partner noticeably faster? 3. Without moving further apart, pull the slinky tighter, so it is more stretched (scrunch up some of the slinky in your hand). Make a transverse wave pulse again. Does the wave pulse reach the end faster or slower if the slinky is more stretched? 4. Try making a longitudinal wave pulse by folding some of the slinky into your hand and then letting go. -
Determination of Focal Length of a Converging Lens and Mirror
Physics 41- Lab 5 Determination of Focal Length of A Converging Lens and Mirror Objective: Apply the thin-lens equation and the mirror equation to determine the focal length of a converging (biconvex) lens and mirror. Apparatus: Biconvex glass lens, spherical concave mirror, meter ruler, optical bench, lens holder, self-illuminated object (generally a vertical arrow), screen. Background In class you have studied the physics of thin lenses and spherical mirrors. In today's lab, we will analyze several physical configurations using both biconvex lenses and concave mirrors. The components of the experiment, that is, the optics device (lens or mirror), object and image screen, will be placed on a meter stick and may be repositioned easily. The meter stick is used to determine the position of each component. For our object, we will make use of a light source with some distinguishing marking, such as an arrow or visible filament. Light from the object passes through the lens and the resulting image is focused onto a white screen. One characteristic feature of all thin lenses and concave mirrors is the focal length, f, and is defined as the image distance of an object that is positioned infinitely far way. The focal lengths of a biconvex lens and a concave mirror are shown in Figures 1 and 2, respectively. Notice the incoming light rays from the object are parallel, indicating the object is very far away. The point, C, in Figure 2 marks the center of curvature of the mirror. The distance from C to any point on the mirror is known as the radius of curvature, R. -
Effect of Moisture Distribution on Velocity and Waveform of Ultrasonic-Wave Propagation in Mortar
materials Article Effect of Moisture Distribution on Velocity and Waveform of Ultrasonic-Wave Propagation in Mortar Shinichiro Okazaki 1,* , Hiroma Iwase 2, Hiroyuki Nakagawa 3, Hidenori Yoshida 1 and Ryosuke Hinei 4 1 Faculty of Engineering and Design, Kagawa University, 2217-20 Hayashi, Takamatsu, Kagawa 761-0396, Japan; [email protected] 2 Chuo Consultants, 2-11-23 Nakono, Nishi-ku, Nagoya, Aichi 451-0042, Japan; [email protected] 3 Shikoku Research Institute Inc., 2109-8 Yashima, Takamatsu, Kagawa 761-0113, Japan; [email protected] 4 Building Engineering Group, Civil Engineering and Construction Department, Shikoku Electric Power Co., Inc., 2-5 Marunouchi, Takamatsu, Kagawa 760-8573, Japan; [email protected] * Correspondence: [email protected] Abstract: Considering that the ultrasonic method is applied for the quality evaluation of concrete, this study experimentally and numerically investigates the effect of inhomogeneity caused by changes in the moisture content of concrete on ultrasonic wave propagation. The experimental results demonstrate that the propagation velocity and amplitude of the ultrasonic wave vary for different moisture content distributions in the specimens. In the analytical study, the characteristics obtained experimentally are reproduced by modeling a system in which the moisture content varies between the surface layer and interior of concrete. Keywords: concrete; ultrasonic; water content; elastic modulus Citation: Okazaki, S.; Iwase, H.; 1. Introduction Nakagawa, H.; Yoshida, H.; Hinei, R. Effect of Moisture Distribution on As many infrastructures deteriorate at an early stage, long-term structure management Velocity and Waveform of is required. If structural deterioration can be detected as early as possible, the scale of Ultrasonic-Wave Propagation in repair can be reduced, decreasing maintenance costs [1]. -
Introduction to Noise Radar and Its Waveforms
sensors Article Introduction to Noise Radar and Its Waveforms Francesco De Palo 1, Gaspare Galati 2 , Gabriele Pavan 2,* , Christoph Wasserzier 3 and Kubilay Savci 4 1 Department of Electronic Engineering, Tor Vergata University of Rome, now with Rheinmetall Italy, 00131 Rome, Italy; [email protected] 2 Department of Electronic Engineering, Tor Vergata University and CNIT-Consortium for Telecommunications, Research Unit of Tor Vergata University of Rome, 00133 Rome, Italy; [email protected] 3 Fraunhofer Institute for High Frequency Physics and Radar Techniques FHR, 53343 Wachtberg, Germany; [email protected] 4 Turkish Naval Research Center Command and Koc University, Istanbul, 34450 Istanbul,˙ Turkey; [email protected] * Correspondence: [email protected] Received: 31 July 2020; Accepted: 7 September 2020; Published: 11 September 2020 Abstract: In the system-level design for both conventional radars and noise radars, a fundamental element is the use of waveforms suited to the particular application. In the military arena, low probability of intercept (LPI) and of exploitation (LPE) by the enemy are required, while in the civil context, the spectrum occupancy is a more and more important requirement, because of the growing request by non-radar applications; hence, a plurality of nearby radars may be obliged to transmit in the same band. All these requirements are satisfied by noise radar technology. After an overview of the main noise radar features and design problems, this paper summarizes recent developments in “tailoring” pseudo-random sequences plus a novel tailoring method aiming for an increase of detection performance whilst enabling to produce a (virtually) unlimited number of noise-like waveforms usable in different applications. -
How Does the Light Adjustable Lens Work? What Should I Expect in The
How does the Light Adjustable Lens work? The unique feature of the Light Adjustable Lens is that the shape and focusing characteristics can be changed after implantation in the eye using an office-based UV light source called a Light Delivery Device or LDD. The Light Adjustable Lens itself has special particles (called macromers), which are distributed throughout the lens. When ultraviolet (UV) light from the LDD is directed to a specific area of the lens, the particles in the path of the light connect with other particles (forming polymers). The remaining unconnected particles then move to the exposed area. This movement causes a highly predictable change in the curvature of the lens. The new shape of the lens will match the prescription you selected during your eye exam. What should I expect in the period after cataract surgery? Please follow all instructions provided to you by your eye doctor and staff, including wearing of the UV-blocking glasses that will be provided to you. As with any cataract surgery, your vision may not be perfect after surgery. While your eye doctor selected the lens he or she anticipated would give you the best possible vision, it was only an estimate. Fortunately, you have selected the Light Adjustable Lens! In the next weeks, you and your eye doctor will work together to optimize your vision. Please make sure to pay close attention to your vision and be prepared to discuss preferences with your eye doctor. Why do I have to wear UV-blocking glasses? The UV-blocking glasses you are provided with protect the Light Adjustable Lens from UV light sources other than the LDD that your doctor will use to optimize your vision. -
Oscillating Currents
Oscillating Currents • Ch.30: Induced E Fields: Faraday’s Law • Ch.30: RL Circuits • Ch.31: Oscillations and AC Circuits Review: Inductance • If the current through a coil of wire changes, there is an induced emf proportional to the rate of change of the current. •Define the proportionality constant to be the inductance L : di εεε === −−−L dt • SI unit of inductance is the henry (H). LC Circuit Oscillations Suppose we try to discharge a capacitor, using an inductor instead of a resistor: At time t=0 the capacitor has maximum charge and the current is zero. Later, current is increasing and capacitor’s charge is decreasing Oscillations (cont’d) What happens when q=0? Does I=0 also? No, because inductor does not allow sudden changes. In fact, q = 0 means i = maximum! So now, charge starts to build up on C again, but in the opposite direction! Textbook Figure 31-1 Energy is moving back and forth between C,L 1 2 1 2 UL === UB === 2 Li UC === UE === 2 q / C Textbook Figure 31-1 Mechanical Analogy • Looks like SHM (Ch. 15) Mass on spring. • Variable q is like x, distortion of spring. • Then i=dq/dt , like v=dx/dt , velocity of mass. By analogy with SHM, we can guess that q === Q cos(ωωω t) dq i === === −−−ωωωQ sin(ωωω t) dt Look at Guessed Solution dq q === Q cos(ωωω t) i === === −−−ωωωQ sin(ωωω t) dt q i Mathematical description of oscillations Note essential terminology: amplitude, phase, frequency, period, angular frequency. You MUST know what these words mean! If necessary review Chapters 10, 15. -
Lecture 11 : Discrete Cosine Transform Moving Into the Frequency Domain
Lecture 11 : Discrete Cosine Transform Moving into the Frequency Domain Frequency domains can be obtained through the transformation from one (time or spatial) domain to the other (frequency) via Fourier Transform (FT) (see Lecture 3) — MPEG Audio. Discrete Cosine Transform (DCT) (new ) — Heart of JPEG and MPEG Video, MPEG Audio. Note : We mention some image (and video) examples in this section with DCT (in particular) but also the FT is commonly applied to filter multimedia data. External Link: MIT OCW 8.03 Lecture 11 Fourier Analysis Video Recap: Fourier Transform The tool which converts a spatial (real space) description of audio/image data into one in terms of its frequency components is called the Fourier transform. The new version is usually referred to as the Fourier space description of the data. We then essentially process the data: E.g . for filtering basically this means attenuating or setting certain frequencies to zero We then need to convert data back to real audio/imagery to use in our applications. The corresponding inverse transformation which turns a Fourier space description back into a real space one is called the inverse Fourier transform. What do Frequencies Mean in an Image? Large values at high frequency components mean the data is changing rapidly on a short distance scale. E.g .: a page of small font text, brick wall, vegetation. Large low frequency components then the large scale features of the picture are more important. E.g . a single fairly simple object which occupies most of the image. The Road to Compression How do we achieve compression? Low pass filter — ignore high frequency noise components Only store lower frequency components High pass filter — spot gradual changes If changes are too low/slow — eye does not respond so ignore? Low Pass Image Compression Example MATLAB demo, dctdemo.m, (uses DCT) to Load an image Low pass filter in frequency (DCT) space Tune compression via a single slider value n to select coefficients Inverse DCT, subtract input and filtered image to see compression artefacts. -
An Experiment in High-Frequency Sediment Acoustics: SAX99
An Experiment in High-Frequency Sediment Acoustics: SAX99 Eric I. Thorsos1, Kevin L. Williams1, Darrell R. Jackson1, Michael D. Richardson2, Kevin B. Briggs2, and Dajun Tang1 1 Applied Physics Laboratory, University of Washington, 1013 NE 40th St, Seattle, WA 98105, USA [email protected], [email protected], [email protected], [email protected] 2 Marine Geosciences Division, Naval Research Laboratory, Stennis Space Center, MS 39529, USA [email protected], [email protected] Abstract A major high-frequency sediment acoustics experiment was conducted in shallow waters of the northeastern Gulf of Mexico. The experiment addressed high-frequency acoustic backscattering from the seafloor, acoustic penetration into the seafloor, and acoustic propagation within the seafloor. Extensive in situ measurements were made of the sediment geophysical properties and of the biological and hydrodynamic processes affecting the environment. An overview is given of the measurement program. Initial results from APL-UW acoustic measurements and modelling are then described. 1. Introduction “SAX99” (for sediment acoustics experiment - 1999) was conducted in the fall of 1999 at a site 2 km offshore of the Florida Panhandle and involved investigators from many institutions [1,2]. SAX99 was focused on measurements and modelling of high-frequency sediment acoustics and therefore required detailed environmental characterisation. Acoustic measurements included backscattering from the seafloor, penetration into the seafloor, and propagation within the seafloor at frequencies chiefly in the 10-300 kHz range [1]. Acoustic backscattering and penetration measurements were made both above and below the critical grazing angle, about 30° for the sand seafloor at the SAX99 site. -
Mobile Consumer Products
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