The Zavio NVC-2080 standalone network video recorder can support IP cameras with up to 8 megapixel resolution. The Zavio NVC-2080 features 8 channels of recording and the one click auto installation makes setup very user friendly.
With the HDMI and VGA video output a PC is not needed to access the configuration menu, live view or playback locally. The Smart Streaming Technology provides high quality recording and low bandwidth remote viewing. The NVC-2080 has one RCA output for Audio Support.
The Zavio NVC-2080 can be accessed remotely through the CMS software, Internet Explorer web browser, iPhone and Android mobile devices. A few more features of the NVC-2080 include 2 USB ports, RS-485 for pan / tilt controls and support for 2 HDDs (8TB Max (2 x 4TB)).
Zavio NVC-2080 8 Camera NVR Features:
- Stand Alone Linux Embedded NVR
- Supports 8 Zavio IP Cameras
- Supports up to 8 Megapixel Resolution
- HDMI and VGA Outputs
- RCA Output for Audio Support
- 2 USB Ports
- PTZ Support
- POS (Point of Sale) Support
- Smart Streaming Technology
- CMS Software
- Remote Access from IE, CMS, iPhone or Android Mobile Devices
- Motion Recording
- Remote Playback
- Dimensions: 11.5″ (L) x 13″ (W) x 1.75″ (H)
Melayani instalasi di Bandung, untuk informasi biaya silahkan hubungi kami di
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The BIGtrack mouse from InfoGrip provides many advantages to seniors with decreased motor skills or poor vision. The unit contains a large and brightly colored 3 inch trackball. The trackball on this device requires only the movement of the thumb which reduces the need for complex arm movements. It's large size makes movement even easier.
The large buttons mean that seniors will have increased accuracy when clicking. It also makes the unit much easier to see. The product also allows for a second mouse connection for seniors that share a computer with traditional users.
PointSmart Technology: InfoGrip also offers an application that allows better control over the function of the mouse. For example, it can slow down the speed of the mouse to help with accuracy.


Method for measuring the area of radiometric apertures
The whole discipline of optical measurement techniques can be roughly subdivided into the two areas of photometry and radiometrywhereas the central problem of photometry is the determination of optical quantities closely related to the sensitivity of the human eye (see § ii6), radiometry deals with the measurement of energy per time ( = power, given in watts) emitted by light sources or. The tracer gas dilution method (see test method e 741) 14 this test method is intended for the measurement of the airtightness of building envelopes of single-zone buildings. In the developed methodology apertures are measured by non-contact measurement through images of the aperture edges captured by a camera these images are processed using computer vision techniques and then the values of the circular aperture area are determined.
The division develops radiometric, photometric, spectroscopic, and spectrophotometric measurement methods, standards, and data the national institute of standards and technology is an agency of the technology administration, us department of commerce. Tems, heatflux measurement systems or spectrographic analysis systems depending on the model of the cali- ent sized apertures to adapt to the desired target area in addition, fast for radiometric calibrated sources, the emissivity tolerances are included in the temperature uncertainty value. Radiometric and photometric measurements require defining apertures the accuracy to which these measurements can be accomplished requires minimization of the uncertainty in the aperture area the nist aperture measurement facility is a machine vision-based metrological system it consists of a high.
The use of an optical coordinate measuring machine (cmm) for the diameter measurement of optical apertures is described the traceability and mechanical stability of the aperture areas are of. Radiometric responsivity determination for feature identification and location experiment (file) no recognized standard or prescribed method for performing a radiometric calibration of an instru- ment such as the file, this report was written as (jones method) ratio of area of radiometer aperture (en- trance pupil) to area of the small. The australian standard of radiometric power is a commercial instrument, the oxford instruments radiox cryogenic radiometer the radiox is an electrical substitution radiometer designed to operate at liquid helium temperatures (42 k. The radiometric, or gamma-ray spectrometric method is a geophysical process used to estimate concentrations of the radioelements potassium, uranium and thorium by measuring the gamma-rays which the radioactive isotopes of these elements emit during radioactive decay. The reduction in radiometric precision is acceptable, because in standard spectroradiometric measurement of laser- heated diamond cell samples the precision in fitting to the planck function (~few k.
Radiometric temperature has been expressed as a function of the background and zenith temperatures , the range of the reflector from the antenna, and the effective power pattern of the antenna. Source intensity is defined by the cavity temperature and the aperture area (refs 3-5) knowledge of the radiometric output of the blackbody is critical to calibration of the sensors. 14 radiometric measurement process this book describes the many facets of optical radiation measurement, from choppers and apertures, prisms, gratings, filters, attenuators, table 12 common applications of radiometry appearance measurement astrophysics atmospheric physics clinical medicine colorimetry. Improvement of uncertainties in detector-based photometry and radiometry requires precise optical measurement of radiometric aperture area including diffraction from the aperture and scattering from its edge. Radiometric calibration of infrared imagers using an internal shutter as an equivalent external blackbody paul w nugent joseph a shaw nathan j pust radiometric calibration of infrared imagers using an internal shutter as an equivalent external blackbody paul w nugent, joseph a shaw, and nathan j pust this paper describes a method.
Radiometric apertures are small holes with well defined form and dimensions used to perform radiometric and photometric measurements (fig 1) nowadays, these apertures area calibration is of. Optical aperture area determination for accurate illuminance methods measure the diameter of a round aperture, some measure the area directly and can be used to measure area of apertures of different sizes to the area determined using mechanical contact methods [18–20. The specifications for a given lens typically include the maximum and minimum aperture sizes, for example, f /14– f /22 in this case, f /14 is the maximum aperture (the widest opening), and f /22 is the minimum aperture (the smallest opening) the maximum aperture opening tends to be of most interest and is always included when describing a lens. Radiometric time scale the discovery of the natural radioactive decay of uranium in 1896 by henry becquerel, the french physicist, opened new vistas in science. A system for measuring the average area of apertures in an opaque member scans a large number of lines across the apertures in orthogonal directions the width of two apertures are measured to obtain an average width.
Method for measuring the area of radiometric apertures
Aperture area attenuation measurement • input apertures are aluminum • aperture edge is precision diamond a solar irradiance cross -calibration method enabling climate studies requiring 02% radiometric accuracies paul a solar irradiance cross -calibration method enabling climate studies requiring 02% radiometric accuracies paul. Used to measure the area of apertures with diameters ranging from 35 mm to 25 mm the measurements using determines aperture area by the ﬂux-transfer method the instrument consists of a custom-built sphere-based h, absolute area measurement of circular radiometric. Radiometric dating or radioactive dating is a technique used to date materials such as rocks or carbon, in which trace radioactive impurities were selectively incorporated when they were formed the method compares the abundance of a naturally occurring radioactive isotope within the material to the abundance of its decay products, which form. A system for measuring the average area of apertures in an opaque member scans a large number of lines across the apertures in orthogonal directions the width of two apertures are measured to obtain an average width the lengths of two apertures are measured to obtain an average length the average width and length are multiplied to obtain an average area.
Tainty in the area measurement for the stadard aperture is 0022 % the worst case ters and other high accuracy radiometric instruments with very low measurement uncertainties require knowl- method is also very low for many apertures the instrument described here provides a means to. Different sized apertures measure a different area of the sample, so always use the same or closest sized aperture when comparing measurements for the highest level of accuracy, we recommend using the largest aperture you can for the job. Radiometric units to photometric units first requires only reliable method of controlling detector area radiant intensity (i = d d ) to measure radiance, you need to define the area of the source to be measured, and also the solid angle received this is usually simulated using an aperture and a positive lens in front of.
Accuracy area measurement of precision apertures some apertures have sharp edges and on radiometric flux measurement the area of the test aperture is determined by because the method can be used for the measurement of cylindrical apertures and other dimensional artifacts. Area, had a pyramidal shape but with a rectangular base the size of the solid angle is defined by the vertex angles at the pyramidal apex, the vertex angle being 78.


Set your 'duino free!
What Is It?
Wifino is a complete wifi solution for Arduino. It features an online IDE and firmware deployment clients for many popular devices including iPhone/iPad. It works with 802.11b/g wifi out of the box.
How Does It Work?
It's just like an Arduino (or with your existing Arduino), but without the hassle of a USB cable. Embed your wifino inside your project and program it wirelessly using a standard 802.11b/g network.
Where Can I Get One?
Wifino will be launching on Kickstarter in the near future. After the campaign, we will begin taking direct orders through our site.
When Can I Get It?
The wifino Kickstarter project will be open soon. Boards and shields will ship in August / September. The wifino store launches in August. The online IDE will be released in July.


We now have an official announcement about the new Nintendo Switch!
The new console will have a 7-inch OLED screen, as well as more storage than the previous model at 64 gigabites. The OLED Switch will also feature a new dock with an ethernet port as well as an upgrade in audio for handheld and tabletop playing.
At $350, you can buy your new Nintendo Switch on October 8.
Will you be buying the new OLED Nintendo Switch? What is your favorite game to play on the Nintendo Switch?


EXCLUSIVE WEB CONTENT
Driving Simulation Handbook Web Content
Only chapters with web figures, videos, links, or supplemental text are listed below.
Web Figure 1.1: An inattentive older driver of the University of Iowa instrumented vehicle (NIRVANA) approaches a lead vehicle (panels A and B) and brakes hard (panel C upper plot) to avoid a rear-end collision. There is a corresponding abrupt dip in speed from over 30 mph (25 knots) to 0 mph, as shown by the electronic data from the instrumented vehicle (panel C, lower plot). The severity of the braking simultaneously triggered a DriveCam system to record video of the event.
Web Figure 2.2: Evolution of Driving Simulators and PC Graphics (color version of Figure 2.2).
Web Figure 4.1: The National Advanced Driving Simulator (NADS) of the National Highway Traffic Safety Administration, housed in Iowa City, Iowa. At present, this is probably the most advanced facility in the world for driving simulation. (Reprinted with permission of NADS). (Cover version of Figure 4.1).
Web Figure 4.2: The VTI driving simulator in Linkoping, Sweden. This also is one of the most advanced, state-of-the-art motion-based driving simulators in the world. (Color version of Figure 4.2). (Photograph: P.A. Hancock, reproduced by permission of VTI).
Web Figure 4.3: The original Link Trainer or “blue box” as it was affectionately known. Although there is no true motion base per se, the facility did sit on a platform which provided some movement (Figure 4.3).
Web Figure 4.4: Road scene viewed directly through semi-transparent mirror (Head-Up Display) (Figure 4.4).
Web Figure 4.5: Optical-see-through approach with a head-mounted display (HMD) (Figure 4.5).
Web Figure 4.6: Video mixed-image approach with vehicle-mounted display (Figure 4.6).
Web Figure 4.7: Video mixed-image approach with head-mounted display (Figure 4.7).
Web Figure 4.8: Full VR approach with Head-Mounted Display (Figure 4.8).
Web Figure 4.9: Two images from a video clip of the driver’s display in a test maneuver in a school parking lot. A (virtual) truck approaches in a near head-on collision. The driver swerves his (actual) vehicle. The background is the real environment. The traffic cones were used as fiduciary landmarks (Figure 4.9).
Web Figure 4.10: Two images from a video clip of the driver’s display in test maneuver on a country road. A (virtual) truck approaches from the right in a near collision and the driver brakes. The background is the real environment. The white signs on the trees were used as fiduciary landmarks (Figure 4.10).
Web Figure 5.2: Link flight simulator comic showing simulator sickness or vertigo circa 1942 displayed at the Canadian Air Force Hall of Fame Museum in Wetaskiwin, Alberta.
Web Figure 6.1: The SimVista tile-based scene authoring graphic user interface.
Web Figure 6.2: The ISAT scenario authoring graphic user interface. The boxes labeled with a “T” are triggers.
Supplemental text discusses the creation of different sample scenarios on three different driving simulator platforms STSIM Drive, SimVista, and Hank
• Lead vehicle braking scenario
• Intersection incursion scenario
• Gap acceptance scenario
Includes Web Figures 6.3 and 6.4.
Web Figure 6.3: Implementing sample scenarios in SimVista: (top) lead vehicle braking, (center) intersection intrusion, and (bottom) gap acceptance.
Web Figure 6.4: Implementing sample scenarios in ISAT: (top) lead vehicle braking, (center) intersection intrusion, (bottom) gap acceptance.
FMOD. Melbourne, Victoria (Australia): Firelight Technologies Pty, Ltd. Available from http://www.fmod.org.
BASS. un4seen. Available from http://www.un4seen.com.
Open AL. San Jose, CA: Creative Labs. Available from http://www.openal.org.
GENESIS. Aix En Provence, France: GENESIS. Available from http://www.genesis-acoustics.com.
V+ with SMx Audio System. Tampa, FL: SimPhonics Incorporated. Available from http://www.simphonics.com.
H3S. Herzogenrath, Germany: HEAD acoustics. Available from http://www.headacoustics.com.
Web Table 7.1: Driving Simulator Motion Systems (color version of Table 7.3).
Web Figure 7.1: The simulator driver is the focus of numerous cue-generation systems (color version of Figure 7.1).
Web Figure 7.2: Motion rendering in a driving simulator (color version of Figure 7.2).
Web Figure 7.3: A Stewart platform (color version of Figure 7.3).
Web Figure 7.4: Lateral motion (color version of Figure 7.4).
Web Figure 7.5: Longitudinal motion (color version of Figure 7.5).
Web Figure 7.6: X-axis SNR contour for the VIRTTEX simulator (color version of Figure 7.8).
Web Figure 7.7: Handwheel torque – Steer Angle curve for the 1997 Jeep Cherokee at 25 mph. (color version of Figure 7.11).
Web Figure 7.8: 1/3-octave responses corresponding to driver-side speakers and DOE (color version of Figure 7.15).
Web Figure 7.9: Equalized 1/3-octave responses corresponding to driver-side speakers and DOE (color version of Figure 7.16).
Web Video 11.2: The stability control example. This video shows loss-of-control scenarios and the influence of electronic stability control (ESC).
Web Figure 16.1: Times Square with a variety of street signs, conventional billboards and digital billboards.
Web Figure 16.2: Several rows of wind turbines located near Pincher Creek, Alberta, Canada.
Web Figure 16.3: Static billboard in driving scenario (left), video billboard (middle and right) in driving scenario.
Web Figure 16.4: Lead vehicle before (left) and during (right) a braking event in video billboard condition. (Color version of printed Figure 16.1).
Web Figure 16.5: Speed change sign with no billboard (left), and in the presence of a video billboard (right).
Web Figure 16.6: Perception response time(s) to lead vehicle braking event by order and condition.
Web Figure 16.7: Minimum headway distance (m) to lead vehicle braking event by order and condition. (Color version of printed Figure 16.2)
Web Figure 16.8: Experimental Drive 1 is shown from start to end with associated road types. The locations of the lead vehicle braking events, billboards, and wind farms are also indicated.
Web Figure 16.9: A picture of Highway 401 near the town of Puslinch southeast of Toronto (left). A similar section of freeway modeled in the University of Calgary Driving Simulator (UCDS) (right).
Web Figure 16.10: A close up of a 15 kW wind turbine appears on the left. The line of turbine that was modeled in the UCDS is on the right.
Web Figure 16.11: Perception response time (PRT) of drivers in the different age groups to the lead vehicle braking events in the presence of the wind farm and baseline treatment conditions. Standard error bars are shown. (Color version of Figure 16.4).
Web Figure 16.12: Age group differences in average velocity in km/hr in the presence of the wind farms, billboards and baseline treatment conditions. Standard error bars are shown. (Color version of Figure 16.5).
Web Figure 17.1: The relationship between activation level, workload and performance (upper part), and specific measures from the simulator computer and physiological activity derived from heart rate measures (lower part).
Web Video 18.1: Video recording of a driver who fails to take an anticipatory look to the right for pedestrians entering a marked midblock crosswalk who are potentially obscured by a vehicle stopped in the parking lane.
Web Video 18.2: Video recording of a driver who does take an anticipatory look to the right for pedestrians entering a marked midblock crosswalk who are potentially obscured by a vehicle stopped in the parking lane.
Web Figure 18.1: Truck Crosswalk Scenario Perspective View (color version of print figure 18.2).
Web Figure 20.1: Research process implications for data reduction planning (Figure 20.1 in printed chapter).
Web Figure 20.2: Visualization plot of raw, mean, and standard deviation of lane position, as well as raw steering angle for four drivers (Figure 20.2 in printed chapter).
Web Figure 20.3: Visualization of components of the lane position. Identical values of the standard deviation of lane position do not reflect similar behavior (Figure 20.6 in printed chapter).
Web Video 30.2: Truck Crosswalk Scenario on Simulator: Trained.
Web Video 30.3: Truck Crosswalk Scenario on Open Road: Untrained.
Web Video 30.4: Truck Crosswalk Scenario on Open Road: Trained.
Web Table 30.1: Scoring of Near Transfer Scenario in RAPT
Web Figure 30.1: Adjacent Truck Left Turn scenario.
Web Figure 30.2: Truck Crosswalk scenario. (a) Plan View. (b) Perspective View.
Web Figure 30.3: Amity-Lincoln scenario. (a) Plan View. (b) Perspective View.
Web Figure 30.4: Adjacent Truck Left Turn scenario. (a) Plan View. (b) Perspective View.
Web Figure 30.5: T-Intersection scenario. (a) Plan View. (b) Perspective View.
Web Figure 30.6: Left Fork scenario. (a) Plan View. (b) Perspective View.
Web Figure 30.7: Opposing Truck Left Turn scenario. (a) Plan View. (b) Perspective View.
Web Figure 30.8: Blind Drive scenario. (a) Plan View. (b) Perspective View.
Web Figure 30.9: Pedestrian on Left scenario. (a) Plan View. (b) Perspective View.
Web Figure 30.10: Mullins Center scenario. (a) Plan View. (b) Perspective View.
Web Figure 31.2: Specialized Training Scenarios (color version of Figure 31.2).
Web Figure 34.1: FHWA Highway Driving Simulator is com¬prised of a number of networked computers (color version of Figure 34.1).
Web Figure 34.2: Diverging diamond interchange traffic flow (color version of Figure 34.2).
Web Figure 34.3: Diverging diamond interchange crossover as it appeared in the driving simulator (color version of Figure 34.3).
Web Figure 34.4: Near-side traffic signals were added to the design as a result of sight-line problems detected during the visualization (color version of Figure 34.4)
Web Figure 34.5: Bird’s-eye view of one side of the conventional diamond interchange that was used to provide a baseline against which driver performance in the diverging diamond interchange could be judged (color version of Figure 34.6).
Web Figure 34.6: In the roundabout context, many drivers did not understand the meaning of the lane restriction sign (far right) and lane restriction markings (center) (color version of Figure 34.8)
Web Figure 34.7: Photograph (left) and simulation (right) of Curve No. 2 in subsequent visibility studies. (color version of Figure 34.9)
Web Figure 35.1: Screen Capture of Typical Simulated Intersection. (Color version of Figure 35.1).
Web Figure 35.2: Permissive Left-turn Displays Evaluated by Knodler and Noyce (2005). (Color version of Figure 35.2).
Web Figure 35.3: Partitioned Driver Simulation Display (Color version of Figure 35.3).
Web Figure 35.4: Signal Display Scenarios Evaluated (Color version of Figure 35.4).
Web Figure 35.5: Permissive Displays Evaluated at Wide Median Applications (color version of Figure 35.5).
Web Figure 35.6: Permissive Scenarios Evaluated in Driving Simulator (color version of Figure 35.6).
Web Figure 35.7: Sample Scenario of Computer-based Static Evaluation (color version Figure 35.7).
Web Video 36.2:Use of novel channelizing devices which were drawn in Google SketchUp in Realtime Technologies system.
Web Figure 36.1: Illustration of a light pole object from the scene authoring software with a sign face placed “floating” above the roadway to give the appearance to a driver of a cantilever sign support structure (color version of Figure 36.5).
Web Figure 36.2: Portable Changeable Message Sign typically used in work zones. It was created by placing a customizable rect¬angular text sign in front of a construction arrow trailer found in the scene authoring library (color version of Figure 36.6).
Web Figure 36.3: Changeable Message Sign out of roadway scale to provide adequate reading distance. (color version of Figure 36.7).
Web Figure 36.4: Simulated Changeable Message Sign created by inserting black box with scenario authoring software and using supplementary projector to project image of sign legend into black box (color version of Figure 36.9).
Web Figure 36.5: Pavement marking shields over-projected onto the roadway scene (color version of Figure 36.11).
Web Figure 38.1: Aerial view of Fallowfield road with CN Rail line and transitway extensions shown (color version of Figure 38.1 in printed chapter).
Web Figure 38.2: Location of STOP LINE sign (French LIGNE D’ARRET) (left) and with height reduction (right) so that the left rail crossing flashing light was no longer obstructed. The DANGER, DO NOT STOP ON TRACKS signs (NE PAS ARRETER SUR LA VOIE PERVEE) were moved to the right and the $45.00 fine tab was deleted.
Web Figure 38.3: Proposed red light camera (RLC) sign (left) and Alberta specified sign that was tested (right).
Web Figure 38.4: Proposed cantilevered rail crossing lights (left) and pavement treatment between rail and transit crossings (right) shown from the westbound direction.
Web Figure 38.5: Route of bicyclist after the railway crossing (left) and pedestrian activity at the Barhaven Mall intersection (right).
Web Figure 38.6: Westbound transitway crossing illustrating the travel of buses through this intersection (left). Westbound train present in the railway crossing (right).
Web Figure 38.7: The experimenters’ view of the UCDS with the Fallowfield highway-railway grade crossing shown. The displays from left to right are the quadraplex view (face, upper left; center column, upper right; pedals and feet, lower left; center view simulator, lower right), eye movement calibration and control monitor, Hyperdrive (v. 1.9.2) console and SimObserver recording monitor.
Web Figure 38.8: Fallowfield plan view with associated signing.
Web Figure 38.9: Fallowfield plan view with velocity measurement locations. Eastbound locations used to generate the velocity profile are indicated across the bottom, whereas westbound locations are shown across the top from right to left (color version of Figure 38.2)
Web Figure 38.10: Eastbound velocity profile by age group with standard error bars is shown. The locations listed on the x axis are indicated on the plan view of Web Figure 9 (color version of Figure 38.3).
Web Figure 38.11: Westbound velocity profile by age group with standard error bars is shown. The locations listed on the x axis are also shown on the plan view of Web Figure 9. (color version of Figure 38.4)
Web Figure 38.12: The advance warning sign (AWS), which indicates PREPARE TO STOP WHEN FLASHING (PREPAREZ VOUS A ARRETER QUAND LE PUE LIGNOTE), and X roadway treatment on the eastbound approach to Fallowfield.
Web Figure 38.13: Red light, crossing flashers and gates down when train imminent. The sign on the far right indicates DANGER, DO NOT STOP ON TRACKS (in French NE PAS ARRETER SUR LA VOIE PERVEE). The signs immediately to either side of the stop line show STOP LINE (LIGNE D’ARRET) (color version of Figure 38.5)
Web Figure 38.14: The 3M directional sign heads at the transit crossing with right and left NO TURNS signs on light masts.
Web Figure 38.15: Westbound transit intersection showing stop line and STOP HERE (LIGNE D’ARRETE) signs.
Web Figure 38.16: Truck position once it braked to a stop just past tracks (left) and the position of a driver once he or she backed up so as not to be struck by the train (right).
About the National BIM Standard. (2010). Building Smart Alliance, a council of the National Institute of Building Science. Retrieved from http://www.buildingsmartalliance.org/index.php/nbims/about/
Allen, W., Rosenthal, T., and Park, G. (2006, October 23–26). Efficient means for prototyping and reviewing roadway designs through visualization. Presentation at the 5th International Visualization, in Transportation Symposium and Workshop. Denver, CO. [Powerpoint video]. Retrieved from http://www.teachamerica.com/VIZ/10_Allen/index.htm
Granda, T. (2006, October 23–26). Efficient means for prototyping and reviewing roadway designs through visualization. Presentation at the 5th International Visualization, in Transportation Symposium and Workshop. Denver, CO. [Powerpoint video]. Retrieved from http://www.teachamerica.com/VIZ/10_Granda/index.htm
Hannon, J. J. (2007). Emerging technologies for construction delivery. NCHRP Synthesis 372, Chapter 5, Washington, D.C., Transportation Research Board, NCHRP. Retrieved from: http://onlinepubs.trb.org/onlinepubs/nchrp/nchrp_syn_372.pdf
Hixon III, C. (2007). Visualization for project development, NCHRP Synthesis of Highway Practice 361. Washington, DC. Transportation Research Board, National Cooperative Highway Research Program. Retrieved from http://www.teachamerica.com/VIZpdf/nchrp_syn_361.pdf
Kunz, J., and Fischer, M. (2009). Virtual design and construction: Themes, case studies and implementation suggestions. Center for Integrated Facility Engineering – Stanford University, CIFE Working Paper #097, Version 10: October 2009. Retrieved from: http://www.stanford.edu/group/CIFE/online.publications/WP097.pdf
Transportation Research Board, Visualization in Transportation Committee web site: http://www.trbvis.org
Transportation Research Board. (2009). Annual Meeting. Proceedings of Session 786 - Beyond 3D: Progressive Visualization for Geometric Design. Retrieved from http://www.trbvis.org/MAIN/786-Proceedings/786-Proceedings.html
Science Blog. (2002, December). UMass professor invites travelers to test-drive Boston’s big dig—before hitting the road—Web-based project aimed at familiarizing drivers with new routes. Science Blog. Retrieved from http://www.scienceblog.com/community/older/2002/B/20026172.html
Wikipedia (n.d). Virtual design and construction. Accessible at: http://en.wikipedia.org/wiki/Virtual_Design_and_Construction
Web Figure 40.2: Two CICAS-SSA variable message signs presenting gap and warning information to a driver positioned at a stop sign (color version of Figure 40.2).
Web Figure 46.1: Car following. (Color version of Figure 46.1).
Web Figure 46.2: Driver with UFOV Impairment. (Color version of Figure 46.2).
Web Figure 46.3: Vigilance Task. (Color version of Figure 46.3).
Web Figure 46.4: Collision Detection Task. (Color version of print Figure 46.4).
Web Figure 46.5: A non-conventional display design approach aimed at testing Go/No-Go decision-making by drivers with cognitive impairments. (Color version of print Figure 46.6).
Web Figure 46.6: Change detection task. (a) Original image; (b) modified image. (Color version of print Figure 46.7).
Web Figure 46.7: Functional magnetic resonance imaging (fMRI). Comparing brain activity during fixation, passive viewing (watching) and active participation in a driving-like task presented in the confines of an fMRI scanner.
Web Figure 46.8: Sources of Evidence on Driving. (Color version of print Figure 46.9).
Supplemental text containing descriptions and related figures, for the following:
• Iowa Driving Simulator (IDS)
• IDS illegal intersection incursion scenario description
• SIREN (Simulator for Interdisciplinary Research in Ergonomics and Neuroscience)
• Rear-end collision scenario
• Stolwyk et al. (2005): The simulator description and study design
• The CARA simulator used in article on Parkinson’s Disease (Devos et al., 2007)and
stroke (Akinwuntan et al., 2005)
Readers are also directed to the Driving Simulators in Rehabilitation web site to view the test drives discussed in this chapter:


Jeanine Cook, PhD
Associate Professor, Klipsch School of Electrical and Computer Engineering
New Mexico State University, Las Cruces, NM 88003
Office: Thomas and Brown 127
I currently direct the Advanced Computer Architecture Performance and Simulation Laboratory. I teach courses in computer architecture and have research interests in the areas of microarchitecture simulation techniques, performance modeling and analysis, workload characterization, and microarchitectural power optimizations. When I'm not working, I'm out in the desert or wilderness riding my horse, Ringo Starr, or I'm hanging out with my dogs, chickens, and cats. I'm married to a wonderful guy who also enjoys the outdoors on his mule, Max.
Advanced Computer Architecture Performance and Simulation Laboratory (ACAPS)
Army High Performance Computing Research Center
R. Srinivasan, E. Frachtenberg, S. Pakin, O. Lubeck, J. Cook. "An Idealistic Neuro-PPM Branch Predictor". The Journal of Instruction Level Parallelism, vol. 9, May 2007.
S. Talli, R. Srinivasan, J. Cook. " Compiler-Directed Functional Unit Shutdown for Microarchitecture Power Optimization". Proceedings of the 26th IEEE International Performance Computing and Communications Conference (IPCCC), New Orleans, LA. Apr 2007.
R Srinivasan, E.Frachtenberg, S.Pakin, O.Lubeck, J.Cook. "Neuro-PPM Branch Prediction". Proceedings of the 2nd JILP Championship Branch Prediction Competition (CBP-2) held in conjunction with MICRO- 39. Orlando, FL. Dec 2006.
R. Srinivasan, J. Cook, O. Lubeck. "Ultra-Fast CPU Performance Prediction: Extending the Monte Carlo Approach". Proceedings of the IEEE International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD), Brazil. Oct 2006.
R. Srinivasan, J. Cook, O. Lubeck. " Performance Modeling Using Monte Carlo Simulation". IEEE Computer Architecture Letters, Volume 5, Apr. 2006.
W. Mathur, J. Cook. "Improved Estimation for Software Multiplexing of Performance Counters". Proceedings of the IEEE International Symposium on Modeling, Analysis, Simulation of Computer and Telecommunication Systems, Atlanta, GA. Sep 2005.
R. Srinivasan, J. Cook, S. Stochaj. "Exploiting benchmark patterns for Efficient Microarchitecture Simulation". Proceedings of the International Computer Systems and Information Technology Conference, Algiers, Algeria. Jul 2005.
R. Srinivasan, J. Cook and S. Cooper. "Fast, Accurate Microarchitecture Simulation Using Statistical Phase Detection". Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software, Austin, TX. Mar 2005.
P. Bandini, J. Cook, M. Mitchell, L. Riley. "A New Paradigm for Optimizing Hybrid Simulations of Rare Event Modeling for Complex Systems". Proceedings of SCS Advanced Simulation Technologies Conference. Arlington, VA. Apr 2004.
R. Srinivasan and J. Cook. “Fast, Accurate Micro-architecture Simulation". Proceedings of the ITEA Modeling and Simulation Workshop. Las Cruces, NM. Dec 2003.
W. Mathur, J. Cook. "Towards
Accurate Performance Evaluation using Hardware Counters". Proceedings of
the ITEA Modeling and Simulation Workshop. Las Cruces, NM. Dec
S. Ramanathan, R. Srinivasan and J. Cook. “Intrinsic Data Locality of Modern Scientific Workloads". Proceedings of the IEEE 6th International Workshop on Workload Characterization, Austin, TX. Oct 2003.
J. Cook, R. Oliver and E. Johnson. "Toward Reducing Processor Simulation Time via Dynamic Reduction of Microarchitecture Complexity". Proceedings of ACM SIGMETRICS Performance Evaluation Review. Marina Del Rey, CA. Jun 2002.
J. Cook, R. Oliver and E. Johnson. "Examining
Performance Difference in Workload Execution Phases". Proceedings of
IEEE 4th Annual Workshop on Workload Characterization. Austin, TX. Dec
"A Monte Carlo Approach to Modeling Processor Performance". Ramkumar Srinivasan. 2007
Master Thesis, Technical reports
"An Analytic Regression Model for Performance Prediction of the Opteron Processor". Kiran Mothekani. 2007
"Validating Processor Power Models through Real-Time Temperature Measurement". Nishchay Bharati. 2007
"Compiler-Directed Functional Unit Shut-Down for Microarchitecture Power Optimization". Santosh Talli. 2006
"Increasing Computational Utilization Through Grid Computing". Rajesh Nayar. 2006
"A Self-contained Power-aware FPGA Based Data Acquisition Architecture for Satellite Systems". Subhash Gutti. 2006
"Increasing Simulator Speed by Optimizing the Mapping Between the Native Architecture and the Simulator: A Look at Simulator Workload Characterization". Lee Finley. 2005
"Uniprocessor Performance Analysis of Representative Workload Of Sandia Laboratories' Scientific Applications". Charles Laverty. 2005
"Understanding the Effects of Microarchitectural Parameters on the Uniprocessor Performance of Sandia Scientific Applications". Dana Hardin. 2005
"Modeling the Effects of Speculative Instruction Execution in a Functional Cache Simulator ". Amol Pandit. 2005
"Techniques for Accelerating Microprocessor Simulation". Ram Srinivasan. 2004
"Static and Dynamic Workload Characterization of SPEC SPU2000 Workloads". Kunxiang Yan. 2004
"Toward Accurate Performance Evaluation Using Hardware Counters". Wiplove Mathur. 2004
"An FPGA Implementation of a MIPS RISC Processor for Computer Architecture Education". Victor Rubio. 2004
"IntrinsicData Locality of Modern Scientific Workloads". Sharath Ramanathan. 2003
"Dynamic Detection of Workload Execution Phases". Matthew Alsleben. 2002
Updated on April 10, 2008


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VibrationVibration is a mechanical phenomenon whereby oscillations occur about an equilibrium point.The word comes from Latin vibrationem ("shaking, brandishing"). The oscillations may be periodic, such as the motion of a pendulum—or random, such as the movement of a tire on a gravel road.. Vibration can be desirable: for example, the motion of a tuning fork, the reed in a woodwind instrument orBettyMills: Cleaning, Sanitary & Medical Supplies.Get Double Markdown® Savings, Speedy Delivery, plus Valuable Rewards.Water Level Transmitters with 4-20mA OutputWater Level Transmitters with 4-20mA Output. 4 to 20 mA current loop output water level transmitters with a for use with process instrumentation for measuring the level of water in a water well, water reservoir, river or water storage tank. Choose a water level transmitter to transmit .The 25 Most Essential Gadgets for MenJul 20, 2021· Best: Kinu M47 Grinder ($199+) Hand coffee grinders are notoriously strenuous to use, but the Kinu M47 Grinder makes it as painless as possible — for a price. It has a thumb stopper, which prevents the grinder from slipping in your hand, an easy-to-adjust grind size selector and a magnetic grounds catcher.
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The Physics Department imparts Physics for all regular first year B. Tech students. The Department of Physics was started along with the main stream in the year 1958. The department has laboratory facility for the regular B Tech students. There is one permanent faculty member and two guest lecturers in the department. There are two staff members for the Engineering Physics laboratory as well. Dr Shemim S S, HOD of the department has done PhD in Solid State Physics with a few published works.
Dr. B. Premlet (Former HOD) has authored the following books: Advanced Engineering Physics (KU, CU, MGU & CUSAT), Physics for Engineers (CUSAT & MGU), Electromagnetic Theory with Applications, Introduction to Solid State Devices, Introduction to Electrical Engineering (Co-Author). This Department functions as a supporting department. Members of Physics department guide students in the preparation of seminars, projects and research works.


Acoustic detection of single and multiple air-gap partial discharges with piezoelectrets transducers
Electrical equipment installed in power transmission and distribution lines are usually subjected to abnormal conditions and intense electric fields, which eventually lead, among others phenomena, to partial discharges (PD). These, have been pointed as one of the main causes of equipment failures and premature aging. Therefore, detect PD became an important issue in the prospect of efficient and reliable electric energy. Concerning PD detection there are several sensors that can be employed e.g. optical, magnetic or acoustic, and each of them presenting particular advantages and limitations. One of the drawback of such sensors are their elevated costs for transmission lines equipments, which has restrict the PD monitoring to power transformers. Although, if the intention is only to detect the PD occurrence a new class of acoustic sensors implemented with piezoelectrets may be a feasible economic alternative. Therefore, in this work we have investigated the acoustic behavior of such transducers exposed to different PD conditions, for instance, the piezoelectret sensor was employed on the detection of PD produced by a single or multiple point-to-point electrode setup with different air gaps driven by high AC voltages. The recorded signals amplitudes were than correlated with the gap distance and voltage amplitude.
Unipolar ferroelectrets – Following the example of the electret microphone more closely
We report first investigations on a ferroelectret transducer material that is based on the same layer sequence as a simple electret microphone. Only one electrically charged polymer film is employed instead of two as in previous tubular-channel ferroelectrets. The new materials design has major advantages such as a reduced number of polymer films to be processed and a reduced amount of expensive electret material, as well as the possibility to choose the polarity of the charged layer for optimal stability. A drawback seems to be a lower piezoelectric coefficient, since the values obtained in our preliminary experiments amount to roughly half of those found on bipolar ferroelectrets made from two polymer-electret films. Nevertheless, the d33 values observed on our samples are still twice as high as those of polyvinylidene fluoride (PVDF) and can be further improved, e.g. through modifications of the ferroelectret geometry, the layer sequence and the electret properties or via multi-layer stacking as already demonstrated for polypropylene piezoelectrets.


In the ever-evolving landscape of science and technology, a new and fascinating field is emerging at the intersection of biology and software engineering – Software Biology. This innovative discipline seeks to apply the principles of computer science, computational modeling, and artificial intelligence to the study of biological systems, opening up new avenues for understanding the complexities of life in silico.
Understanding Software Biology
Software Biology can be envisioned as the digital counterpart to traditional biology, where living organisms are represented and simulated through software models. This approach allows scientists and researchers to gain deeper insights into the intricate processes that govern life. At its core, Software Biology leverages computational tools and algorithms to analyze biological data, simulate biological processes, and predict outcomes.
Key Components of Software Biology
1. Computational Modeling:
– Computational models in Software Biology emulate the behavior of biological systems, ranging from cellular processes to entire ecosystems. These models are designed to simulate the dynamics of biological entities, providing a virtual laboratory for experimentation and analysis.
2. Data Integration:
– Software Biology relies heavily on the integration of diverse biological data sets. By combining data from genomics, proteomics, metabolomics, and other sources, researchers can construct comprehensive models that capture the intricate relationships within biological systems.
3. Artificial Intelligence (AI) in Biological Research:
– AI plays a crucial role in Software Biology by enabling the analysis of vast datasets and identifying patterns that may be challenging for traditional methods. Machine learning algorithms, for example, can be trained to recognize biological patterns, aiding in the prediction of cellular behavior and the discovery of new relationships.
4. Synthetic Biology:
– Software Biology intersects with the field of synthetic biology, where biological components are engineered to create novel functionalities. In the digital realm, Software Biology allows for the simulation and optimization of synthetic biological systems before physical implementation, reducing the need for trial and error.
Applications of Software Biology
1. Drug Discovery and Development:
– Software Biology accelerates drug discovery by simulating the interactions between potential drug compounds and biological targets. This enables researchers to identify promising candidates and optimize their properties before moving to costly and time-consuming laboratory experiments.
2. Personalized Medicine:
– By integrating genomic and clinical data, Software Biology contributes to the development of personalized medicine. Predictive models can be used to tailor treatments to individual patients based on their unique genetic makeup and response to specific interventions.
3. Ecological Modeling:
– Software Biology extends its reach beyond the cellular level to ecological systems. Researchers can simulate ecosystems, predict the impact of environmental changes, and develop strategies for conservation and sustainable resource management.
Challenges and Future Prospects
While Software Biology holds immense promise, it is not without challenges. The complexity of biological systems, the need for vast amounts of high-quality data, and the integration of multi-scale models are among the hurdles that researchers must overcome. As technology advances, however, and our understanding of both biology and software engineering deepens, the potential applications of Software Biology are boundless.
In conclusion, Software Biology represents a groundbreaking approach to understanding and manipulating the intricacies of life through the lens of computational models and artificial intelligence. This interdisciplinary field has the potential to revolutionize biological research, reshape healthcare practices, and contribute to our broader understanding of the natural world. As scientists continue to unlock the mysteries of life through the synergy of biology and software, the future holds exciting possibilities for innovation and discovery.


Blockchain Applications in IoT
The blockchain technology, at the heart of the crypto world, has found a fertile ground in the IoT landscape. It’s not just about powering IoT devices with cryptocurrency; blockchain’s potential applications in IoT extend to diverse areas, reflecting its versatility and robustness.
At the core, blockchain technology provides a secure data transfer mechanism. With every transaction recorded and verified across multiple nodes in a decentralized network, it offers a high level of data security, tamper-resistance, and transparency. This makes blockchain an ideal choice for managing the enormous data traffic within IoT networks, ensuring that any data exchange between IoT devices is reliable and trustworthy.
One of the most promising applications of blockchain in IoT is the execution of smart contracts. Essentially, smart contracts are self-executing contracts where the terms are directly written into code. In an IoT context, this means that devices can automatically perform transactions when certain conditions are met. For example, a smart washing machine could order detergent from an online retailer when it senses the detergent level is low. With smart contracts, this transaction could happen automatically, securely, and transparently.
Blockchain also facilitates the creation of digital wallets for IoT devices. A digital wallet acts as a personal bank account for your devices, allowing them to hold, send, and receive cryptocurrencies. With digital wallets, your smart devices not only interact with the world but also participate in the digital economy. The use of blockchain-based crypto debit cards could enable these devices to make real-world transactions, paying for services and goods they need to function.
Moreover, blockchain plays a significant role in IoT data monetization. As IoT devices generate vast amounts of data, blockchain could provide a secure, transparent platform for sharing and selling this data. Users could earn rewards in the form of tokens for sharing their data, providing a new avenue for generating value in the IoT ecosystem.
Lastly, blockchain technology can also enhance IoT connectivity and edge computing. By distributing data across numerous nodes, blockchain can boost the performance of IoT networks, reducing latency and enhancing response times.
The Growing Trend of IoT Tokenization
In the world where Crypto and IoT converge, tokenization is a buzzword that’s gaining significant traction. It’s a concept that sounds futuristic, but it’s already finding real-world applications, changing how we interact with our digital and physical environments.
IoT tokenization essentially involves assigning digital tokens to physical objects, allowing their unique identification and tracking. Every token represents a unique device or ‘thing’ in the IoT landscape, from a household appliance to an industrial machine. Each token can carry specific information about the device, such as its location, status, and even the data it generates.
Tokenization is closely tied to IoT data monetization, a concept that transforms the data generated by IoT devices into a source of value. With tokenization, each data point generated by an IoT device can be associated with a unique token, marking its source and authenticity. Users can share this tokenized data securely and transparently, and even earn rewards in the form of cryptocurrency tokens. For instance, a user might earn tokens by sharing data from their smart fitness device with a health research organization.
Tokenization also plays a significant role in IoT connectivity and edge computing. By tokenizing devices and data, we can track and manage the interactions within an IoT network more efficiently. Each tokenized data transaction can be recorded and verified on the blockchain, ensuring transparency and security. This can significantly enhance the performance of IoT networks, reducing latency and increasing response times.
The emergence of IoT tokenization has also spurred the growth of numerous IoT crypto projects and startups. These ventures are leveraging the power of blockchain and IoT to create new applications and services. For example, there are platforms that enable users to trade tokenized data, creating a new data marketplace. There are also startups developing tokenized solutions for specific sectors, such as agriculture, healthcare, and transportation.
Noteworthy IoT Tokens and Crypto Projects
As the amalgamation of Crypto and IoT gathers momentum, we are witnessing the emergence of numerous IoT tokens and crypto projects. These ventures are at the forefront of this exciting convergence, pushing boundaries, and setting new standards.
One of the most renowned projects in this space is IOTA. IOTA is designed specifically for the Internet of Things, providing a scalable, decentralized, and modular platform for seamless machine-to-machine interactions. Unlike traditional blockchain projects, IOTA uses a unique architecture called Tangle, which eliminates the need for miners and ensures zero transaction fees. This makes IOTA highly suitable for microtransactions, a key feature in the IoT landscape.
Another exciting project in this space is HDAC (Hyundai Digital Asset Company). HDAC is focused on integrating blockchain technology with IoT devices. It leverages a permissioned blockchain to provide secure, efficient IoT connectivity. The HDAC platform enables smart devices to communicate and transact in a secure, private environment, thereby enhancing the utility and security of IoT networks.
VeChain is another noteworthy player in this domain. VeChain leverages blockchain to enhance supply chain management, one of the key applications of IoT. It offers a robust and secure framework for real-time tracking and management of goods and products. Through IoT integration, VeChain provides solutions for asset digitization, allowing for seamless interaction between physical goods and a digital ecosystem.
Streamr is another compelling project which focuses on real-time data monetization. Streamr allows users to trade data in real-time, thereby creating a new marketplace for IoT data. It provides a decentralized, peer-to-peer network for data sharing, where users can sell the data generated by their IoT devices and earn rewards in the form of DATAcoin, Streamr’s native cryptocurrency.
The Role of DisruptTech in the Crypto and IoT Convergence
As we delve into the promising future of Crypto and IoT integration, it’s worth acknowledging the players making significant strides in this space. One such innovator is DisruptTech, a game-changer in the fintech and crypto arena, offering services that bridge the gap between traditional finance and the digital asset world.
DisruptTech’s White Label Crypto Loading Platform is a notable standout, providing an efficient, secure, and user-friendly interface for managing digital assets. By seamlessly integrating traditional financial systems with the crypto world, DisruptTech is enabling the wider adoption of cryptocurrencies.
Further enhancing their role in the integration of Crypto and IoT, DisruptTech offers blockchain-based crypto debit cards. This development, tied to the increasing automation and connectivity facilitated by IoT, presents exciting opportunities. Imagine a future where smart devices come embedded with these crypto debit cards, allowing them to make independent transactions in real-time. The potential use-cases are enormous, from a smart home device automatically paying for its electricity to a smart vehicle independently paying for fuel, parking, or tolls.
By facilitating a platform where smart devices can safely, efficiently, and autonomously manage their transactions, DisruptTech is driving towards an IoT future that is more connected and autonomous. This integration of Crypto and IoT, facilitated by innovators like DisruptTech, is paving the way for a future where our devices do more than communicate; they transact, make decisions, and participate in the digital economy.
In essence, through its crypto loading platform and blockchain-based crypto debit cards, DisruptTech is at the forefront of the Crypto and IoT convergence. It’s not just about enabling devices to participate in the digital economy, but also ensuring that they do so in a secure, efficient, and user-friendly way. With pioneers like DisruptTech, the future of Crypto and IoT seems not only exciting but also within our grasp.


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Byline: Kelebogile Masemola
05 August 2022
The Council for Scientific and Industrial Research (CSIR) exposed learners from township and rural schools to various opportunities in science, technology, engineering and mathematics (STEM) at its annual Career Day, in Pretoria on Wednesday, 03 August 2022.
The event, was attended by hundreds of learners and educators, forming part of the National Science Week (NSW), an initiative of the Department of Science and Innovation that aims to increase the level of public understanding of science countrywide.
This year, NSW is celebrated under the theme “Celebrating the role of basic sciences in the modern world”.
The CSIR Career Day seeks to spark STEM ambitions in grade 9 to 11 learners from disadvantaged schools who are taking mathematics and science as subjects.
CSIR Principal Researchers, Ghaneshree Moonsamy, said CSIR researchers used the platform on the day to showcase various technologies and science-based activities, such as science experiments, exhibitions, presentations, and motivational talks, designed to encourage the learners to pursue careers in STEM.
“The reason we are here today is to share our insights and our personal journeys in our careers in science, technology, engineering, maths and innovation, as well as creating exposure to school learners and the general public in inspiring people to pursue careers in science and technology.
We realised as the CSIR the importance of exposure and giving learners, especially those from disadvantaged areas that have not been in the science space that do not have laboratories and cannot do their own experiments,” said Moonsamy.
Moonsamy further elaborated on how engaging with the students will hopefully inspire the next generation of scientists to succeed in their careers in science.
“We want to share our personal stories and how we’ve made our careers in science a success, so hopefully it will inspire the next generation of scientists to be able to not only further their studies, find jobs but use these jobs as opportunities to make a difference in the country,” she said.
“The challenge with students is they start taking subjects such as Maths and Science serious when they choose subjects in Grade 10, but it is based on a strong fundamental platform,” explained Dr Advaita Singh, Researcher at CSIR.
“I am here to inspire the kids of my academic journey to where I am right now, I made the 2022 mail & guardian top young South African list, using my journey to inspire kids and make an impact for South African Scientists of tomorrow,” Dr Singh said.
Learners also had the opportunity to engage with the researchers and scientists on various career opportunities, explored science and technology-focused exhibitions and saw demonstrations of various projects from different clusters in the organisation.


How do I connect a LCD Potentiometer and a breadboard
Thanks! So basically after I connect one 3.3V and one 5V to the breadboard (will use 2 of the long power rails (marked with a +) to supply my breadboard with 2 different voltages) I just have to experiment by removing one of those to see if the display continues to work or not.... I’ve got arduino uno and in the basement i found a 20?4 character LCD display so i decided to put it to got use (it actually doesn’t make a big difference if you have 20?4 or 16?2 characters just a small programming change).
Schematic to breadboard layout fritzing forum
For this you will need. Arduino, I2C, Breadboard (optional if you solder I2C with LCD), Jumper wires. I2C. This is I2C serial interface adapter. We can adjust contrast of LCD by this potentiometer.... For this project all you need to do is put the header pins into the holes on the LCD module: Ensure that you don't have one pin too many or too few in your header strip. Also make sure the black plastic strip of the header is positioned on the underside of the printed circuit board (PCB) so that you have plenty of pin length below the PCB to plug into your breadboard or a socket.
Raspberry Pi LCD How to Setup a 16x2 LCD Display Pi My
Using a JHD162A LCD Screen with an Arduino Uno 3 minute read The JHD162A display controller is a monochrome LCD module which you can find bundled with various Arduino starter kits or on their own; usually in the price range of around $10.... In this project, we will connect an LCD screen to an Arduino and use it to display some basic text. This covers both the physical connections and the programming required to get an LCD to work.
How to connect 20Ã—4 LCD screen to arduino and make some
A place to learn new things related to electronics, test and measurement and programming of micro-controllers Tutorials, Reviews and general blogs added on a...... 13/03/2017 · Just been researching on how to put the LCD screens in that need to mirror the computer screen. And they are too LCD panels. Don’t have a clue how I’m going to manage to pull this off. I know with two screen you have to write code to be able to use two screens.
How To Put Lcd Screen On Breadboard
Arduino Joystick Breadboard with LCD OutputUse Arduino
- How to Add and Test the LCD Display for Your Arduino Clock
- How to set up an LCD with Arduino Programming
- How to drive a Character LCD display using the Raspberry Pi
- LCD Add-On Assembly Guide SparkFun Electronics
How To Put Lcd Screen On Breadboard
A Simple Method to Connect a Nokia LCD Screen to Your Project (No Soldering Required) Posted on February 5, 2009 June 15, 2011 by starlino Some LCD screens from old cell phones have gained popularity among electronic enthusiats.
- breadboard Circuit Before wiring the LCD screen to your Arduino or Genuino board we suggest to solder a pin header strip to the 14 (or 16) pin count connector of the LCD screen…
- There are quite a few connections to be made. Lining up the display with the top of the breadboard helps to identify its pins without too much counting, especially if the breadboard has its rows numbered with row 1 as the top row of the board.
- Breadboard BoosterPack When it comes to start exploring modern electronics, the choice of an introductory kit is difficult. The kit should provide a large set of electronic components, and most important, the relevant training material.
- Circuit 4A. Welcome to your first LCD project! This Circuit will introduce you to the LiquidCrystal library, it's relevant objects and methods as well as how to electrically connect the LCD to the RedBoard using the breadboard.
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- British Columbia: White Rock BC, Ladysmith BC, Keremeos BC, Greenwood BC, Pouce Coupe BC, BC Canada, V8W 5W9
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- Nova Scotia: Inverness NS, Westville NS, Glace Bay NS, NS Canada, B3J 4S3
- Prince Edward Island: O'Leary PE, Abram-Village PE, Montague PE, PE Canada, C1A 4N7
- Newfoundland and Labrador: Bay de Verde NL, Greenspond NL, Come By Chance NL, Chance Cove NL, NL Canada, A1B 7J4
- Ontario: Ida Hill ON, Iverhaugh ON, Ferguslea ON, Haldane Hill, Thunder Bay ON, Vanier ON, L'Amable ON, ON Canada, M7A 8L9
- Nunavut: Kugluktuk NU, Port Burwell (Killiniq) NU, NU Canada, X0A 9H2
- England: Walton-on-Thames ENG, Chatham ENG, Preston ENG, Gosport ENG, Coventry ENG, ENG United Kingdom W1U 6A6
- Northern Ireland: Newtownabbey NIR, Newtownabbey NIR, Belfast NIR, Derry (Londonderry) NIR, Craigavon (incl. Lurgan, Portadown) NIR, NIR United Kingdom BT2 9H6
- Scotland: Cumbernauld SCO, East Kilbride SCO, Glasgow SCO, Cumbernauld SCO, Cumbernauld SCO, SCO United Kingdom EH10 6B5
- Wales: Newport WAL, Swansea WAL, Barry WAL, Wrexham WAL, Cardiff WAL, WAL United Kingdom CF24 9D4


We are looking for a Java Software Engineer for Cloud application to join our AUSY Team. Your activity will be full remote.
The project consists in developing an Automated Assurance suite which is a cloud native application compliant to micro-services architecture running on Kubernetes infrastructure (K8s vanilla, RHOCP).
About our client:
As a Global Technology leader, our client is investing in digital innovations such as: Big Data, Artificial Intelligence, Connectivity, Cybersecurity. They provide high-tech solutions and play a vital role in today's society with projects in various domains such as: digital identity and security, defense and security, aerospace, space, and transport....


Apple iPhone X comes preinstalled with iOS 11 operating system. This iPhone X boasts a 5.8inch Super Retina display. The Apple iPhone X comes power packed with advanced features to give you an incredible iPhone experience. It is armed with an A11 Bionic chip with M11 motion coprocessor that allows you to browse the web, play games, and work on demanding applications without a hint of lag. With the 256GB internal memory, this phone gives you the freedom to store more memories without deleting the old ones. This iPhone X comes preinstalled with iOS 11 operating system that offers a broad range of intuitive apps and new shortcuts to make your iPhone experience straightforward and fast. The silver iPhone X boasts a 5.8inch Super Retina display for a lifelike mesmerizing visual experience. To secure and authenticate your phone, this Apple device features the Face ID function. Available in a silver finish, the Apple iPhone sports a robust, lightweight, entire screen design that offers exceptional impact resistance.


Simple and easy to use, super universal remote for the TV or TV lets you control your TV quickly and easily. You only have to configure it with the steps listed you.
It supports most devices in so it is a new application to play a prank on your friends.
How to use
1. Connect your phone and your television and open the application. You will have to select the TV model,
we are working to bring new devices.
2. Switch on the same network access if a SMART TV, or other smart TV.
3. Use the buttons on and off, plus many more features.
Features of the Remote Control Universal TV:
1. LG TV remote control
2. Samsung TV Remote Control
3. Remote Control for Sony TV
4. Vizio TV Remote Control
5. Remote Control for Panasonic TV
6. Remote Control for Samsung TV
7. TV Remote for All Tv it’s the best application of this type. We have a lot of compatible types using WiFi and display Port.
This application is currently not compatible with all TVs on the market, if it fails, please be patient and inform us your TV model and we will try to update our application to increase compatibility. We will welcome any comments and is also appreciated.


Sachet is a Network based Intrusion Detection System developed at IIT Kanpur. It monitors the network traffic to detect any unwanted attempts to compromise the security of the network by malicious users. Recently an Intrusion Prevention functionality was also added to it. IPS monitors network traffic inline and prevent intrusions by dropping the malicious packets before they reach the actual host. In this thesis, we are adding two functionalities needed to enhance the utility of the system.
One of the major techniques to prevent an IDS/IPS from detecting an attack is through splitting the signature into two packets of a TCP Connection. As the IDS/IPS checks for signature in each packet individually it would not be able to detect this attack. However, on the host machine these packets would be re-assembled and a stream of data is available to the application. Hence, it would get compromised. We are adding a TCP Re-assembly module to our IPS so that it can detect those attacks which would have went though undetected.
We are also adding a Web based Graphical User Interface to the system so that a network administrator can monitor the IDS from a remote machine. Currently, the information about the alerts (and the status of network and nodes) can be monitored only from the server machine.
Download Thesis in PDF
Back to the list of MTech theses
Palak Agarwal can be reached at palak.agarwal[AT]gmail.com.


Marine Electrical for Sailboats
Another John Payne book, this is a thoroughly practical, hands-on guide explaining in detail how to select, install, maintain and troubleshoot all electrical and electronic equipment including batteries, charging systems, lighting and corrosion protection systems, VHF, SSB, GPS, and much more. Illustrated with hundreds of charts, diagrams, line drawings, graphs.
...perhaps the most easy-to-follow electrical reference to date. ---Cruising World
This book is for sailboats.


March 19, 2020
The economy of the future is bound to pass over our heads. Businesses involved in the use of space for civil or industrial purposes hold the promise of bringing a new wave of innovation.
Governments, corporations and entrepreneurs like Elon Musk - who is developing a satellite telecommunications project with Starlink - venture capitalist and start-ups are all investing in the last frontier, better known as the space economy.
The data confirm the potential for this new segment of the global economy. Research published in December 2019 by French research firm Euroconsult estimates revenues generated by players in the space economy will reach a total of $485 billion by 2028 from $298 billion in 2018. That is an annual growth rate of more than 4%.
So the sky is becoming a new resource to be exploited. The way we monitor, use and preserve the planet's water resources is being enhanced by the use of drones and satellites, often times with the help of artificial intelligence.
The Space-O project, funded by the European Commission, is an example of how data and images from satellites can be integrated into a digital platform for water quality control. The Copernicus system of satellites captures images of water bodies and send them along with other pertinent data to be processed and shown in real-time. This service is particularly useful for monitoring the purity of water in the face of risks like the spread of harmful algae that occurs as a result of a warming climate, and the use of fertilisers containing nitrogen. Algorithms that analyse satellite images can also provide forecasts. They produce models on the trend of water purity, allowing operators to intervene in advance to counteract polluting phenomena or regulate their level of delivery. One project was deployed at the Mulargia dam in Sardinia, Italy. Forecasting models made it possible to alert the operators to act in time to prevent the proliferation of algae in the dam’s reservoir.
Kilometres below the satellites, the skies will also be filled by unmanned aerial vehicles, commonly known as drones. Although effective, their usefulness will be on a more limited scale. The New Zealand city of Auckland, for instance, is deploying them to monitor the quality of sea water. The technology helps the city save 30% of its operating costs compared with the use of boats and sometimes helicopters to collect water samples off-shore. In collaboration with the engineering and environmental consultancy firm Pattle Delamore Partners (PDP), the city has developed a new sampling methodology based on drones that collect water samples up to one kilometre in the open sea. The samples are then sent to the laboratory and made available more quickly than previous monitoring systems. As Matt Montgomery, head of innovation of the Auckland City Council, stated in an article on "OurAuckland", a city website: «As our city's population grows and our urban spaces intensify, we will rely on smart city technology like drones to help us solve Auckland’s unique urban issues to improve the quality of life for Aucklanders».
The space economy will not be simply the domain of tycoons. It is also becoming a field of exploration and business for start-ups. One example is MobyGIS, a young company from Trentino that is working to integrate satellite data with terrestrial data to monitor the flow of rivers. Thanks to open data, the company integrates information from 490 snow metres and more than 2,100 weather stations in Italy, Germany and Austria. It also draws satellite data collected by the Copernicus platform of the European Space Agency, generating over 256 million files. This information has already allowed the company to work with the municipality of Seville in Spain to optimise water supplies, and predict the navigability of the Rhine to optimise the navigability of the river.


All New Payment & Mobility POS Systems and Industrial Panel PCs
Flytech Technology (6206.TW), a leading Taiwan ODM manufacturer for touch embedded hardware solutions, will be exhibiting all new Payment and Mobility POS systems at this year’s EuroShop 2017 trade fair in Düsseldorf, Germany between March 5th and 9th (booth Hall 6/H75); and just a week later, Flytech will also be exhibiting its latest industrial Panel PC product series at the Embedded World 2017 trade fair in Nuremberg, Germany between March 14th and 16th (booth Hall 3/558).
At the EuroShop 2017, Flytech’s themed “Easy Pay. Easy Go.” focuses on products designed for payment and mobility to allow quicker and more personalized interactive applications tailored to the retail and hospitality segments. The trending smart retailing and consumer ‘grab-and-go’ preference have created an increase in demand for POS terminals that are highly focused on efficiency. Retailers want their POS system to be sleek, space-saving, have a seamless integration of mPOS and a receipt-printer, and to be highly mobile with easy upgradability and serviceability. Flytech’s latest 7” modular POS payment system PB75 brings all these requirements together and offers lots more.
Another product exhibition from Flytech worth checking out is the patented System Diagnostic Recorder (SDR) device. The SDR is a device that allows the end user to monitor key parts of an AIO POS Terminal such as Motherboard, LCD Touch Panel and Hard-drive. The SDR allows the end user to be informed when a key part fails by simply reading the LED indicator on the device or by sending an email alert. This will save time and money because the failed key part is already identified and the replacement part can simply be swapped. A complementary Smartphone APP also allows the end user to monitor the status of each key part as well as reading the system’s CPU, Fan Speed and Temperature. The SDR will be showcased along with the new modularized AIO POS 655 system which has won the prestigious iF Design Award 2017.
Moreover, within the same month in March and just a week after the EuroShop show, Flytech’s PPC Unit will also be exhibiting at the Embedded World 2017 trade fair in Nuremberg, Germany where an array of industrial Panel PC product series will be displayed to the attendees. High-performance IP-rated multi-touch Panel PCs with different display sizes from 10.1” to 42” in 4:3 and 16:9 ratios will be showcased during the event. Flytech’s K740, K750, K760, and K770 series will be displayed in special application scenarios for Medical, Automation and Commercial market segments such as high-end restaurant kitchens, fitness gyms, food processing automated factories and bedside terminals in patient rooms. With success stories from partners around the world, Flytech’s panel PC products have become richer and better throughout the years.
All of Flytech’s embedded touch systems are highly configurable with rich I/O customization featuring Intel latest processors such as Skylake. Along with the new products that will be launching during these events, Flytech will be showcasing a new VESA-mounted UPS Battery Box that can be seamlessly attached to the back of a POS Terminal or a Multi-touch Panel PC to add an extra battery life to the system when the power suddenly goes out. A small feast that could fill a huge appetite when you are in the middle of a critical task.
Set the dates for both EuroShop 2017 and Embedded World 2017 and come visit Flytech Technology at these international fair trades.
For more information, please visit Flytech Technology website at www.flytech.com or email to email@example.com.


One of the worst fears the people might have of robots would probably be if one day they end up replacing us, sometime in the future.
Sounds like something straight out of a science fiction movie? Maybe not, with this computer chip that is able to mimic the human brain’s ability to learn new tasks.
Researchers at MIT have unveiled a chip that can do what us human brains can do, with our brains neurons being able to adapt to new information (known as the neuroplasticity). The researchers believe that this chip will be able to help neuroscientists learn more about how the brain works, like learning and memory.
The chip is able to simulate brain activity of a single synapse, a connection between two neurons that allow for information to flow to each other, through its 400 transistors.
Not only is the chip anticipated to let us learn more about how the brain works, it could also potentially be used in artificial prosthetic devices, such as artificial retinas. Imagine that one day this technology could restore proper sight to the blind.
The chip works in analog, simulating the brain, which means that the system could work much faster than digital computers. Even on high-end computer systems, simulating a simple brain function takes days. As with an analog chip, the simulation can go even faster than its biological counterpart.
I think this is the breakthrough that people have been waiting for. It looks to be able to shed more light on how our brains work. Perhaps even create an ‘artificial’ brain that can download data. I certainly wouldn’t be too surprised if it happens one day!


Last Updated: March 3, 2020
Sometimes titled information security engineer, information systems security engineer, or information assurance engineer, security engineers develop and supervise information technology (IT) security systems that prevent cybercrime information breaches.
Some companies combine the roles of security analyst and security engineer, so these titles often get used synonymously, but security analyst positions often focus on identifying cybersecurity weaknesses, while security engineers focus on building defensive systems such as firewalls and intrusion detection systems.
As commerce and data storage increasingly moves online, most organizations require information security systems, so information security professionals work in many industries from computer systems design and manufacturing to insurance, finance, and education.
The information below describes security engineer education and experience requisites, job responsibilities, and skill sets. This page also introduces cyber degree programs that can launch you toward exciting career opportunities in this growing, lucrative field. According to PayScale, security engineers earn a healthy average annual salary of $88,741.
What Does a Security Engineer Do?
Companies hire security engineers to keep sensitive data safe from cyberattacks. By securing financial records, client information, and other confidential data, security engineers protect organizational finances and reputations.
Companies expect security engineers to detect, investigate, and prevent intrusions and to resolve technical problems with IT equipment and software. Security engineers implement intrusion detection systems, install firewalls, and sometimes collaborate with other IT professionals to solve security problems. Frequently conducting tests, security assessments, and risk analyses, these professionals report their findings, evaluate new security measures, and make IT security recommendations to company leadership.
Many security engineer positions require 1-5 years of relevant IT work experience, so aspiring security engineers usually need to start with entry-level positions such as computer support technician. Inexperienced students should choose information security programs with relevant internships that can lead to entry-level positions.
Entry-level information systems jobs allow professionals to learn from upper-level engineers and to gain experience in program testing, risk management, and other information security responsibilities. Senior security engineers and security managers typically need 5-10 years' related work experience as security, network, or system administrators.
Steps to Become a Security Engineer
Preparing for your security engineer career can save time and money. Current high school students interested in security engineering should focus on science, math, and computer courses. Communication skills also deserve attention because security engineers need to report their findings clearly and efficiently to colleagues, clients, and sometimes law enforcement professionals.
Next, aspiring security engineers should earn an undergraduate degree in cybersecurity or a related field such as computer science, engineering, or programming. Other good majors include information systems, information technology, and applied mathematics. By offering curricula specifically designed to cultivate the hard and soft skills needed by security engineers and other cybersecurity professionals, schools offering concentrations or majors in cybersecurity or information security can expedite your route to this career.
The related bachelor's degrees above typically meet security engineer education requirements. However, earning a master's degree renders professionals more competitive for top-level positions. Working professionals with unrelated bachelor's degrees often use master's programs to obtain the security engineering education necessary for this career path.
Security engineers usually need 1-5 years of related IT experience. Students should consult with their schools' career services office for help with career planning and job searching. Many college degree programs include internships as part of the final year curriculum. Relevant internships and entry-level information systems jobs allow new graduates to learn from more advanced IT security professionals.
Many security engineer positions also require professional certifications obtained from programs provided by IT companies, online cybersecurity schools, and professional organizations such as the Information Systems Security Association.
The certifications needed usually depend on the position sought, but the most common include certified information systems security professional, certified ethical hacker, and global information assurance certification. The number of available cybersecurity certifications can prove overwhelming, so consult this cybersecurity certifications guide for more information on professional certifications in this field.
As they solve security issues and manage complex security projects, security engineers also employ the many soft and hard skills described below.
Top Required Skills for a Security Engineer
PayScale identifies web security and encryption, software development, computer security, and cybersecurity as top skills influencing security engineer salaries. Security testing and auditing, vulnerability assessment, and network security management are also valuable.
More specifically, security engineers often need hard skills in intrusion detection, firewalls, threat modeling, and ethical hacking. Other specific hard skills include network architectures, protocols, routing, and access controllers.
Security engineers must understand major operating systems, such as Linux, UNIX, and Windows, and major database platforms like MySQL and MSSQL. Security engineers need to know security systems infrastructure, audit functions, and encryption tools. These professionals must also know how to perform computer forensics work, virus and phishing attempt detection and prevention, and security compliance.
Meanwhile, security engineers also need soft skills such as leadership, problem-solving, and project management skills, which come into play as security engineers manage complex IT security projects generating threat detection and other security solutions.
Through curricula focused on information technology security, computer engineering, and information systems, cybersecurity degree programs encourage development of the hard and soft skills described above. However, information security professionals must update their skill sets frequently to accommodate this rapidly changing field, so continuing education via online certifications and courses often proves necessary as well.
Security Engineer Salary
Salaries vary by industry, location, company, and position, but most security engineers take home generous paychecks and enjoy excellent career prospects. PayScale data suggests that security engineers make a median salary of about $89,000 annually, with entry-level security engineers taking home about $69,000 and very experienced professionals making as much as $111,000 per year.
Projected job growth for information security professionals between 2018 and 2028 looks promising. BLS does not provide career data for security engineer positions specifically, but it projects 32% job growth for the related career of information security analyst. BLS identifies computer systems design, management, and credit intermediation as the top-employing industries for information security analysts. Insurance and consulting industries also employ many information security analysts, according to BLS.
PayScale identifies San Francisco, Seattle, and New York as top-paying cities for security engineers, although the cost of living in these areas inflates these salaries considerably. According to BLS, top-paying Southern states for information security analysts include Virginia, Texas, and Florida. Top employers for security engineers include Google, Amazon, Cisco, and Microsoft.
Looking for More Cyber Degree Programs?
- Bachelor's in Cyber Security Programs
- How to Become a Security Administrator
- Best Online Master's in Cyber Security Programs


Computers and laptops are a common use in each and every household. Any PC user would have complained about a hardware problem in their pc at least once in their lifetime. This is quite a common thing and nothing to be surprised of. You will have to take your pc to repair shop unless you know how to fix your own hardware problems. Here are a few common problems that you might have and what you probably can do about them.
Your computer monitor goes black. This is not because your monitor is protesting. That I can assure. Well, first thing you will have to do is to check your power cord. Check if the cord is fixed properly or if there is a problem with the cord. If your monitor’s power button is lit, then it works. The next possible problem would be that the video cable is loose or the wire not working. You could try to connect the wire to another pc and check if it is working to make sure there is nothing wrong with the cable. If the monitor is still black then there is something wrong with the monitor and you will have to take it to the repair shop.
Data is important thing today. We transport through hard drives and USBs. The major problem might face with data is the loss of data and end of in need of a data recovery solution to evaluate the problem properly.
Well, unless you are a computer hardware engineer or know something about recovery you will have to find a place that offer the best service of getting your hard drive or USB data recovery done. There is software online that you can try it out but I would definitely recommend that you take this problem to an expert.
If you can’t get your PC to start – that is if you can’t seem to boot your pc what you need to do is to first check if all the power cables are properly fixed in to the pc. Normally an error message will be shown and explain why you can’t boot it. According to the instruction you may proceed on what to do next. Errors normally happen because some wires that connect internal devices such as hard ware and ram are not fixed properly or have gotten loose. A pc cannot run without these devices so chances are that the devices are not connected. If these wires are lose the pc might suddenly out of the blue shut down suddenly. You try to remove the devices and fix them back on. If the problem still exists you should give it to an expert look in to.