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Gallery Fashion Fix - Spring 2014
Check out who's clinched the award for our favourite fashion moment of the day!
Watch Doc Lock & OG Mike get down and teach us how to break it down with their killer dance moves!
Fans have been queuing up to congratulate the two guys in thousands of comments under their brilliant video on Facebook.
The two gentlemen show us their best moves to a soundtrack of classic funk at The City Ballet School in San Francisco.
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Check out who's clinched the award for our favourite fashion moment of the day!
Let's face it, nothing beats old school Hollywood glamour...especially when it's given a modern twist!
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Men's beauty regimes are nothing like women's. They need to be hassle free and reliable.
Singer Ciara blows competition out of the water with her incredible monochrome dress at the AMAs 2016.
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Marine to serve no time in Iraqi killings caseMarine will serve no time in confinement for leading squad that killed Iraqi civilians
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Source:Copyright 2012 The Associated Press. All rights reserved. This material may not be published, broadcast, rewritten or redistributed.. All Rights Reserved

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Chicken and Soy Sauce
READY IN: 25mins
Recipe by mersaydees
I think this has nice Asian flavors without being too spicy hot, particularly when serving mixed company. It is based on a recipe of Michael M. T. Lee's in the Wei-Chuan cookbook, Chinese Cooking Made Easy. I serve it over steamed rice.
Top Review by looneytunesfan
This was a great dish. Don't let the long list scare you. I made as directed except left out the cucumber (personal preference) but it was still elegant looking.
See Discussion:1 Review
Ingredients Nutrition
- 1⁄2 tablespoon wine
- 1⁄2 tablespoon soy sauce
- 1⁄4 teaspoon salt
- 1 dash pepper
- 3⁄4 tablespoon cornstarch
- 2 1⁄2 tablespoons oil, divided
- 1⁄2 lb boneless chicken thighs, shredded (225g, breast is ok, too)
- 10 green onions, sliced into 1/2-inch pieces
- 1⁄2 teaspoon garlic, minced
- 1⁄2 teaspoon sesame oil (you can get away with the "hot" sesame oil in this recipe)
- 1⁄2 cup cucumber, diced (you may also fancy it up by peeling thin strips from the long sides creating long alternating rows o)
- 1⁄2 cup water chestnut, diced
- 1⁄2 cup red pepper, diced
- 2 1⁄2 tablespoons soy sauce
- 2 1⁄2 tablespoons water
- 1⁄2 tablespoon sugar
- 1⁄2 tablespoon vinegar
- 1⁄2 tablespoon wine
- 1 dash pepper
- 1 teaspoon cornstarch
Directions See How It's Made
- Mix together the first 5 ingredients; add 1 tablespoon oil and chicken, coating well (the oil should keep the chicken shreds separate during stir-frying).
- Heat 1 1/2 tablespoons oil in wok or large skillet; add chicken mixture and stir-fry until medium well then move to side of pan.
- Add green onions, garlic, and sesame oil to available space in pan and stir-fry until fragrant.
- Add cucumber, water chestnuts, and red pepper and stir briefly.
- In small bowl, mix together the soy sauce, water, sugar, vinegar, wine, dash pepper, and cornstarch; stir into wok or skillet; cover and cook until steamy, then stir to mix well.
- Serve immediately.


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I must admit that I'm not a cat lover, but when I saw this ginger kitty sunning itself on a wall at the Lacock Pottery earlier today I just had to snap it!!
Thanks for looking,
(Uploaded 4/10/05)
Please e-mail me for permission if you'd like to make use of any of my photo's. Thanks.


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Here's Why The Duchess Of Cambridge Gave Prince George A Telling Off...
Even future kings of England get a scolding from mum!
Eva Longoria dazzles in high heels, Katy Perry surprises her fans with a screening of her film and Lady Gaga unveils her new perfume...
The Duke and Duchess of Cambridge were spotted on a night out at the cinema
Kate and Wills enjoyed a rare night off royal duties.
The couple were seen at the Odeon cinema in London's Kensington at the weekend where they watched 'Avengers Assemble' starring Robert Downey Jr, Scarlett Johansson and Chris Hemsworth.
The Duke and Duchess of Cambridge were dressed down: Wills was sporting beige chinos and trainers, whilst Kate wore a black jacket, jeans and a pair of court shoes.
A cinema goer noticed the couple and managed to take a photo of them from behind.
Even future kings of England get a scolding from mum!
Royals and other guests arrive at the church.
Get saving if you want to visit the swanky resort that Prince William, Kate and family are visiting this summer!
...Because let's face it, who doesn't want to look like the Duchess?
Now playing: The best feel good music


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|Publication number
|Publication type
|Application number
|Publication date
|Dec 7, 2004
|Filing date
|Nov 28, 2000
|Priority date
|Sep 3, 1999
|Fee status
|Also published as
|Publication number
|Ioannis Pavlidis, Peter F. Symosek, Bernard S. Fritz
|Original Assignee
|Honeywell International Inc.
|Export Citation
|BiBTeX, EndNote, RefMan
|Patent Citations (22), Non-Patent Citations (34), Referenced by (44), Classifications (10), Legal Events (3)
|External Links: USPTO, USPTO Assignment, Espacenet
This Application is a continuation of Ser. No. 09/389,925, filed Sep. 3, 1999, now U.S. Pat. No. 6,370,260.
The invention pertains to detection of people, and particularly to detection of occupants in vehicles. More particularly, it pertains to image fusion in the near-infrared band under various kinds of environmental conditions.
The gathering of usage statistics in the high occupancy vehicle (HOV) lane is desired by some government agencies. These statistics are crucial for construction planning. Currently, the gathering of data is performed manually. This approach is obviously laborious, inefficient, and prone to error.
There are compelling reasons for the existence of an automatic occupant counting system in the HOV lane. It would facilitate the gathering of statistical data for road construction planning. It would enable state authorities to charge a nominal fee to single occupant vehicles in HOV lanes. It would also help the state patrols to perform their monitoring tasks more effectively.
The occupant counting system needs to be reliable. In a sensing system, reliability is rarely achieved if the signal is corrupted with noise. The first concern in the present effort is to produce a signal with as distinct a signature for the vehicle occupant as possible. This goal can be achieved only through careful design and arrangement of the sensing elements.
If one manages to acquire a clear imaging signal through sensors, then even moderately powerful pattern recognition algorithms could accomplish the occupant detection task. If, however, the imaging signal were noisy, then even the most powerful pattern recognition algorithms could not accomplish the task.
Related efforts by others have involved the use of a near-infrared camera (0.55 to 0.90 micron) and a near-infrared illumination source in the same range of wavelengths. One reason for using near-infrared sensing was the ability to use non-distracting illumination at night. Illumination at nighttime enhances the quality of the image. However, it appears that the choice of range of wavelengths is not appropriate because of its close proximity to the visible spectrum. Psychophysical experiments have shown that the human eye has some sensitivity to this range of near-infrared wavelengths, however small. This sensitivity may be sufficient to potentially cause accidents under certain conditions. Another reason for this approach, according to others, was to bypass the problems caused by solar illumination during daytime, such as glare. Nevertheless, particularly in that range (i.e., 0.55 to 0.9 micron) solar illumination is still substantial and the associated glare can be reduced only through the use of polarizing filters.
In more general terms, related art projects that involve imaging usually adopt the use of visible spectrum cameras. The strong point of the visible spectrum approach is that the relevant imaging sensors are very advanced and at the same time the cheapest across the electromagnetic (EM) spectrum. Visible spectrum cameras have a particular advantage in terms of speed, which is an important consideration in the HOV lane where vehicles are moving at rates of speed of 65 mph. These cameras can also have very high resolution, resulting in very clear images under certain conditions. Unfortunately, there are serious problems with the visible spectrum approach. For instance, some vehicles have heavily tinted window glass to reduce glare from solar illumination. This glass is nearly opaque to visible spectrum cameras. Also, visible spectrum cameras do not have operational capability during nighttime.
Many researchers adopt the visible spectrum as the spectrum of choice, or, in rare cases, some other EM spectrum based primarily on intuition. The result is that they usually end up with a non-discriminating signal that makes the detection problem appear more difficult than it actually is. Then, they try to address the difficulty by devising powerful pattern recognition algorithms but often to no avail. The loss of information because of a poor sensor choice, spectrum, and arrangement is usually irrevocable.
Visible spectrum or very near infrared detection of people in vehicles has not been very successful under most conditions. The glare and other problems caused by solar illumination, such as through vehicle windows, has prevented effective detection of vehicle occupants. Also, environmental conditions like weather obscure detection. People appear to have darker or lighter faces, depending on the characteristics of the people being detected, and on the incident angle and intensity of deliberate or incidental illumination. Other wavelengths of the EM spectrum do not appear to offer inexpensive, compact, and high resolution sensing and detection of human beings in vehicles.
The lower portion of the EM spectrum consists of the gamma rays, the x-rays, and radiation in the ultra-violet range. Radiation of such wavelengths is harmful. This radiation is typically used in a controlled manner in medical applications.
At the far end of the EM spectrum, there is the microwave and radio radiation. This range was recently started to be exploited for imaging purposes. Sensors operate in an active or in passive mode. The major advantage of these longer wavelengths is that they can penetrate clouds, fog, and rain for producing weather-independent imaging results. The technology for these wavelengths is new, and prohibitively expensive. Also the sensors are bulky in this range of radiation, and feature very low resolution. A useful application of these sensors is currently confined to the military and the remote-sensing domain.
The present invention utilizes radiation in the middle region of the EM spectrum regarded as the infrared spectrum. This spectrum includes wavelengths from 0.7 to 100 microns. Within the infrared range, two bands of particular interest are the 0.7 to 3.0 micron, 3.0 to 5.0 micron and 8.0 to 14 micron bands. The latter two bands are regarded as the thermal infrared band and the first band as the reflected infrared band. The reflected infrared band is associated with reflected solar radiation that contains no information about the thermal properties of materials. This radiation is for the most part invisible to the human eye. The thermal infrared band, on the other hand, is associated with the thermal properties of materials.
The thermal infrared band is significant for several reasons. First, the human body maintains a relatively constant temperature of about 37 degrees Celsius (C), irrespective of physical characteristics or illumination conditions. This indicates a consistent light color pattern for the faces of vehicle occupants subject to thermal infrared imaging. This consistency is lacking in the visible spectrum. Such consistency facilitates interpreting sensed images. Further, the thermal property serves as a differentiator between humans and dummies. Also, a sensor functioning in the thermal region is operational day and night without any need for an external illumination source.
However, one concern is the attenuation of thermal infrared radiation caused by glass, when detecting humans in a vehicle. The glass severely disrupts the transmission of infrared radiation at wavelengths greater than 2.8 microns. At 2.8 microns, thermal energy just begins to appear. To obtain an infrared image under such conditions, one needs a very sensitive mid-infrared camera in the range from 2.0 to 3.0 microns. Vehicle windows are not made from common glass for reasons of safety, energy efficiency, and visibility. Also, the composition of the front windshield differs significantly from the composition of the side windows of a vehicle. The side windows are more transparent to the transmission of thermal infrared radiation. However, detection with a near-infrared camera significantly reduces this problem of radiation attenuation.
A near-infrared camera, if it is restricted to the appropriate range, outputs similar imaging signals for various humans despite their having different colors of skin. However, this camera outputs a much different imaging signal for a dummy having the same visible color as the human skin.
One embodiment of the present invention has two cameras of different sensing wavelengths in the near-infrared bandwidth. These cameras are pointed toward a place where humans may be detected. A near-infrared lamp for the illumination of the scene may be used. The two outputs of the cameras are fused together with a weighted difference to result in an image having an intensified contrast. The image output of the device that performs the fusion of the two camera images goes to a post-processor, which performs binary thresholding on the various pixels of the fused image. The result is an image with each pixel either being black or white. The thresholded output undergoes such operations as fuzzy neural network or analytical processing. The thresholded output diminishes all of the background of the viewed scene, except human skin such as faces. This approach is one embodiment of the human detector.
Another embodiment according to the present invention provides a detection method that includes detecting reflection from a scene in at least a portion of an upper band of the near infrared spectrum (e.g., at least a portion within the range of 1.4 μm and above in the near infrared spectrum). The presence of a human body in the scene is then determined by comparing the reflection of at least one region of the scene (e.g., at least one region of the scene including a face region of the human body) to at least one other region of the scene (e.g., at least another region of the scene including one or more inanimate objects).
A human body detection system embodiment according to the present invention includes a camera sensitive to at least a portion of an upper band of the near infrared spectrum (e.g., at least a portion within the range of 1.4 μm and above in the near infrared spectrum) to provide pixel value signals based on detected reflectance of a scene. Circuitry operable (e.g., hardware or processor executing software) to provide a comparison of the detected reflection of at least one region of the scene (e.g., at least one region of the scene including a face region of the human body) to the detected reflection of at least another region of the scene (e.g., at least another region of the scene including one or more inanimate objects) is used in detecting the presence of a human body in the scene.
FIG. 1 shows a near-infrared fusion system for detecting humans.
FIG. 2 illustrates a co-registration scheme for two cameras.
FIG. 3 is a histogram of the number of pixels versus spectral power for an image frame.
FIG. 4 is the graph of the EM spectrum.
FIG. 5 reveals the infrared transmittance characteristics for an automobile windshield.
FIG. 6 reveals the infrared transmittance characteristics for an automobile side window.
FIG. 7 is a graph showing the percentage of reflectance for Caucasian males of light and dark complexions.
FIG. 8 is a graph showing the percentage of reflectance for Asian males of light and dark complexions.
FIG. 9 is a graph showing the percentage of reflectance for black males of light and dark complexions.
FIG. 10 is a graph showing a comparison of reflectances for light and dark skin.
FIG. 11 is a graph of reflectances for cotton, wood and polyamide.
FIG. 12 is a graph of reflectance for distilled water.
FIG. 13 shows a layout for determining the speed characteristics of a human detection system.
FIG. 1 shows a basic layout of a near-infrared fusion system 10 for detecting humans. It is a dual-band imaging system. Two co-registered cameras 11 and 12 sense the image of, for instance, a face 13 of a human being. Camera 11 has a spectral sensitivity of 0.8 to 1.4 microns. Camera 12 has a spectral sensitivity of 1.4 to 2.2 microns. Slightly shorter or longer ranges can also yield acceptable detection results. The 1.4-micron threshold point between the two bands of spectral sensitivity is a preferable demarcation point for the dual-band system 10, but may be another value as appropriate. Each of the camera sensitivity band ranges can cross somewhat the 1.4 micron wavelength without diminishing the human detecting ability of system 10. The quality of the imaging signals from cameras 11 and 12 remain high even during overcast days and at nighttime, because the scene being scanned by cameras 11 and 12, can be illuminated with an eye-safe near-infrared illuminator 14. Since the eye is not sensitive to the near-infrared spectrum, system 10 can remain stealthy all of the time, whether in a detection mode or not. Ideally, the camera at the lower band range (0.8 to 1.4 microns) should be an image intensifier. Therefore, the illuminator's spectral emission specification needs to match only with the upper band range (1.4 to 2.2 microns). The upper band range is quite far from the visible spectrum and illumination in these wavelengths is safe even for highway applications. Near-infrared cameras 11 and 12 provide clear imaging signals even in foul weather conditions such as hazy conditions. These particular infrared bands of detection and illumination provide for sufficient light transmission through windshields, side windows, fog, and darkness. This permits adequate detection of humans in vehicles at night and in poor weather.
The image outputs 15 and 16 of cameras 11 and 12, respectively, go to a weighted difference software process 17 or specialized hardware that fuses the outputs by performing weighted subtraction of the intensities of the two camera images. This weighted difference software or hardware may be referred to as a fuser. Such fusion of the camera outputs intensifies the silhouette of face 13 and other exposed human skin in the resultant fused image. Also, the image features a diminution of the background of the scene being covered by the cameras. This increased contrast between the person and the background in the fused image permits essentially perfect image segmentation through thresholding by a software process 18, or specialized hardware. This thresholding software or hardware may be referred to as a thresholder. The output of the thresholder 18 may go to a display 19, printers or a post-process or specialized hardware.
A final processed image shows the exposed skin parts, such as face 13, as binary blob 13′, as shown in FIG. 1. Background 20 of sensed face 13 is discounted as shown by blank background 20′ in display 19. This clean-cut binary imagery ensures reliable and fast operation of a pattern recognition algorithm that identifies a human as indicated by face 13′ imagery.
FIG. 2 illustrates the co-registration of cameras 11 and 12. There is spacial and time registration between the cameras. The cameras could be of the same make and model. The necessary difference between the cameras is the optical bandwidth filters, 48 and 49, which are situated between sensing arrays 46 and 47 and camera lens 58 and 59, respectively, of cameras 11 and 12. Filter 48 determines the 0.8 to 1.4 micron spectral sensitivity of array 46 in camera 11 and filter 49 determines the 1.4 to 2.2 micron spectral sensitivity of array 47 in camera 12. A polarizer may be inserted in front of lens 58 of camera 11 and in front of lens 59 of camera 12. Or instead, a polarizer may be inserted between lens 58 and array 46 of camera 11, and between lens 59 and array 47 of camera 12. Sensing arrays 46 and 47 of the cameras are the same size, for example, 512 by 512 pixels in a gallium arsenide substrate. Typically, the fields of view are the same for each array. Three pixels 51, 52, and 53, for example, are selected out for spacial co-registration. Each of the three pixels are focused on corresponding portions 51′, 52′, and 53′, respectively, of image 20 viewed by cameras 11 and 12. That means the arrays have the same images, pixel for pixel, even though the spectral sensitivities are different. In other words, the columns and rows of pixels are aligned with the physical world scene, pixel for pixel. Once spacially co-registered, cameras 11 and 12 are kept stationary relative to the physical world.
Time co-registration of the cameras means that the cameras are in synchronization with each other from a signal perspective. The signals for each of the two corresponding pixels go to a frame buffer at the same time. The retention of light for each pixel is in the micro-second range. A typical frame time is about 33 milliseconds, which is 30 frames per second. The transfer of pixel data may be parallel, line-by-line, or serial, pixel-by-pixel, or any other style of information transfer. There is a sync signal for cameras 11 and 12 to initiate and maintain their time co-registration.
The image-outputs or pixel signals 15 and 16 go to a software process or specialized hardware 17 which provides a certain weighting to each of the pixels and fuses pairs of corresponding pixels from cameras 11 and 12, respectively, into single pixels. The weighted differencing is performed pixel by pixel. Each result is the fused pixel of the two weighted differenced pixels. The weight difference equation for such fusing is
P is spectral power. The position or location of each pixel in the respective image is identified by row (i.e., "i") and column (i.e., "j"). The rows and columns of pixels of the images of cameras 11 and 12 coincide with each other. The lower band pixels are these from camera 11 and the upper band pixels are those from camera 12. The spectral power "P" for each pixel at i,j is indicated by a numeral scale of brightness from 0 to 255. "0" is entirely black or dark (i.e., no spectral power) and "255" is entirely white or bright (i.e., full spectral power). Numerical indications in between 0 and 255 are, of course, representative of various gradations of gray, brightness, or spectral power. "C" of the equation is a constant (i.e., weighting factor), which is determined according to the lighting of background or scene 20 and object or face 13. "C" for daytime lighting conditions is about 3 for optimal results. "C" for nighttime depends upon the spectral distribution and properties of an artificial illuminator 14.
The brightness or spectral power of a typical pixel of the lower band (image 46) may be 55 and the brightness or spectral power of the corresponding typical pixel of the upper band (image 47) may be 10. These upper and lower band pixel values are representative of skin in the corresponding bands. The spectral power of a resulting typical fused pixel, in daytime viewing, at a location of row i and column j in the daytime is determined with the following calculation.
The fused pixel signals go from software process or specialized hardware 17 to software process or specialized hardware 18 for image segmentation via thresholding of the fused pixels. Process or specialized hardware 18 emulates a comparator-like circuit in that each fused pixel below a certain threshold value (T) is assigned a value (V1) of 0 and each fused pixel above the certain threshold value is assigned a value (V2) of 255.
FIG. 3 shows a histogram of an image frame of fused pixels. The number of pixels for each spectral power value is indicated by curves 54 and 55 for a given sensed image. The pixels of curve 54 represent background 20 and the pixels of curve 55 represent human skin 13. Curves 54 and 55 intersect at 56 that is deemed to be the appropriate value for thresholding. If curves 54 and 55 do not intersect, then the thresholding value 56 is centered between curves 54 and 55. The threshold value is dynamic in that it changes from frame to frame, and is determined for each image frame according to the histogram of the respective frame. If the spectral value for thresholding is 20, then fused pixels having a value below 20 are valued at 0 and fusedpixels having a value above 20 are valued at 255. The resulting image in display 19 has white pixels for background 20′ and black pixels for face 13′. This image may be reversed by process or specialized hardware 18 such that background 20′ has black pixels and face 13′ has white pixels.
As one can note here, a main application of the invention is people detection in vehicles. However, people detection can be used at security points, alert areas, and so forth. An enhanced version of system 10 may be used to actually identify people.
The spectrums that cameras 11 and 12 function are within the reflected infrared portion 21 in FIG. 4, which shows the EM spectrum. Visible spectrum 22 is the spectral sensitivity of conventional cameras. Unfortunately, visible light cameras have noise levels that increase during poor environmental conditions such as bad weather, nighttime, and direct sunlight. Some problems, such as nighttime viewing may be overcome with artificial lighting, which matches the visible spectrum of the camera, and which in vehicle occupant detection is a serious distraction to drivers. Another disadvantage is that a human face 13, which is the object of interest, does not have consistent qualities within the visible range. Vehicle occupant faces appear dark or light, depending on the physiological characteristics of the occupant, and the intensity and incident angle of illumination.
The thermal infrared band 23 (3.0 to 5.0 and 8.0 to 14 microns) is associated with thermal properties of materials. The human body is at a temperature of 37 degrees C. This means that human faces have a consistent light color in thermal infrared imaging, despite various facial colors, which is contrary to visible imaging.
The thermal property of the body provides a clear differentiator from look-alike dummies. The thermal infrared sensor can function at night without an external illuminator. One disadvantage of using the thermal infrared band 23 for occupant detection is that vehicle windshield glass greatly attenuates infrared light transmission at 2.8 microns and higher.
FIG. 5 reveals the transmittance characteristics of infrared light between 0.4 and 2.8 microns for a clean vehicle windshield (curve 24) and a dirty windshield (curve 25). Beyond 2.8 microns of thermal infrared bandwidth 23, the radiation transmittance characteristic of windshield glass is almost zero. The transmittance of a lightly tinted side window of a vehicle is good (50 to 85%), from 0.3 up to 2.8 microns as revealed by curve 26 in FIG. 6. Between 2.8 and 4.3 microns, the radiation transmittance is about 20 percent for the side vehicle window. Beyond 4.3 microns the transmittance drops to nearly zero. However, the spectral behavior of the side window permits transmittance of some thermal radiation.
Curves 27 and 28 of FIG. 7 show the percentage of reflectance of infrared light for light and dark complexion Caucasian males, respectively. The reflectance is good between 0.6 and 1.4 microns. Above 1.4 microns, the reflectance is significantly diminished. However, the difference of reflectances of light and dark complexions are minimal.
In FIG. 8, curves 29 and 30 show skin reflectances for light and dark complexions, respectively, of Asian males. Curves 31 and 32 of FIG. 9 show skin reflectances for light and dark complexions of black males. Even though the reflectances of light complexions are higher than those of dark complexions; curves 27, 28, 29, 30, 31 and 32 of FIGS. 7-9, respectively, have similar shapes and all of them drop off at about 1.4 microns. These reflectances show some variation for all complexions of the Caucasian, Asian, and black males, between 0.6 and 1.4 microns.
Curves 33 and 34 of FIG. 10 show the reflectances for more extreme differences of light skin and dark skin, respectively. The reflectances of light and dark skin are significant up to 1.4 microns. After 1.4 microns, reflectance curves 33 and 34 for light and dark skin, respectively, become almost coincident and the resultant reflectances drop below 20 percent. Thus, in the near-infrared bands of 1.4 and above, the reflectance of detected humans of all kinds of skin shade, are about the same at wavelengths greater than 1.4 microns.
In FIG. 11, curves 35, 36, and 37 show the reflectance for cotton, wood, and polyamide respectively, to be significant not just between 0.6 and 1.4 microns, but beyond 1.4 microns. The insignificant drop in reflectance after the 1.4 micron threshold point, is a basis that shows a large contrast in reflectance between the human face and inanimate objects, such as upholstery, the dashboard, and fabrics in a vehicle, which are background, and provide for easy detection of the human face in the range of 1.4 to 2.2 microns.
Consequently, there is a significant contrast, in reflectance between the images of a Caucasian male and a dummy head from a camera operating in the range between 1.4 and 2.2 microns. The image of the dummy is reflective and appears rather bright and the male human image is dark and thus the resultant contrast between the two images is rather stark. This person detection scheme is much superior to visible light imaging, since the latter scheme reveals little or no contrast between the Caucasian and dummy heads of like colors. In summary, it is easy to distinguish images of the human head from those of the dummy head in the 1.4 to 2.2 micron range imagery, but not easy to distinguish the images of the respective heads from each other in the 0.8 to 1.4 micron range imagery.
The lower reflectivity of human skin for the 1.4 to 2.2 micron spectral range is explained by the spectral reflectance of distilled water as shown by curve 38 of FIG. 12. There is a substantial drop in reflectance at about 1.4 microns. Beyond 1.4 microns, the water absorbs substantial infrared radiation and appears in an image as a dark body. Since the composition of the human body consists of 70 percent water naturally, its spectral response is similar to that of water. So camera 12, operating in the 1.4 to 2.2 micron range, captures this unique human body differentiator. With the operating range of camera 12, one can safely use during nighttime a matching near-infrared illumination source 14 to improve the quality of the sensed image of face 13. This light is invisible to humans, such as vehicle drivers, but also is harmless to their eyes since the wavelength of illuminator 14 is above the safe threshold of 1.4 microns.
Also, since cameras 11 and 12 of system 10 operate at a lower band than the mid-infrared band, glass penetration is not a problem and cameras 11 and 12 can easily detect through the frontal windshield of a vehicle. Thus, speed requirements for cameras 11 and 12 are less restrictive. In an actual highway site, a zoom lens would be used.
FIG. 13 shows a layout of a near-infrared system 40 for determining the speed characteristics of the human detector. A vehicle 41 may be assumed to be moving down a highway at a velocity v, as shown by vector 42, and be observed in a frontal view with a near-infrared camera 11 or 12 at a distance d, as shown by line 43, and from a height h, as shown by line 44. Only one of the cameras 11 and 12 is needed for this evaluation, but it may be either one of them. Camera 11, 12 may be a Sensors Unlimited Inc. SU 320 equipped with a telephoto lens, a band-pass filter in the range 1.4 to x microns (where x>1.4 microns), and a polarizing filter to reduce the glare effect from the sun illumination during daytime.
During the daytime, system 40 uses the illumination of the sun. The objective is to determine if there is any appropriate geometric arrangement for camera 11, 12 so that the signal to noise (S/N) ratio and the camera speed are kept at acceptable levels even under adverse conditions. An acceptable (S/N) ratio is considered anything above 35. The speed quality is considered acceptable when the image smearing does not exceed the width of one pixel.
The first step in a radiometric computation is to determine the amount of radiation that falls upon the objects of interest such as the occupants of vehicle 41. The spectral band considered is above the 1.4-micron threshold point. Because of constraints due to the quantum efficiency of the camera SU-320 that was used in the actual experiments, one limits the spectral band in the range of 1.4 to 1.7 microns. Slightly modified things are in effect for the extended range of 1.4 to 2.2 microns. The spectral irradiance of the sun (the illumination source) on a clear day at sea level is approximately Isunny=0.008 Watts/cm2 in the 1.4 to 1.7 micron band range. In this computation, however, one considers the worst case scenario of an overcast day. For an overcast day, the irradiance value is reduced by 10−3 thus giving irradiance at vehicle 41 of approximately
The transmittance in this spectral range of windshield 45 of vehicle 41 is approximately 0.4 resulting in an irradiance on the vehicle occupants of
The second step in a radiometric computation is to determine how much of the incident radiation on the objects of interest is reflected back to the sensor (i.e., near-infrared camera 11, 12). The radiance into a hemisphere assuming a reradiate of 0.4 would be
This represents the reflected portion of the occupant irradiation. The occupant's body absorbs the rest. The reflected radiation has to pass through windshield 45 and the camera 11, 12 lens to reach the near-infrared sensor array of camera 11, 12. One assumes a 0.4 windshield transmittance, a f/2 camera lens (i.e., having a 14.32� cone angle) with 0.8 transmittance, a polarizer with 0.4 transmittance, and a band-pass filter with 0.6 transmittance. Then, the irradiance at the sensor array of camera 11, 12 will be
Camera 11, 12 has square pixels with a side of 37.5*10−4 cm or an area
Consequently, the radiant power on the camera 11, 12 pixel will be
The camera's detectivity D* is D*=1012 cm √Hz/Watts. The noise equivalent power (NEP) is related to detectivity D*, pixel area A, and electronic bandwidth Δf by the following equation:
The bandwidth Δf is determined by the exposure time of camera 11, 12. The exposure time depends on vehicle 41 velocity 42, camera range 40, and the camera 11, 12 field of view such that the images smear less than 1 pixel. Assuming vehicle 41 traveling at a speed of 65 mph, at a distance d 43 of 40 meters (m) away from camera 11, 12, and with a field of view of 1.6 m, the 320�240 pixel array of camera 11, 12 gives a maximum exposure time of 1 ms or a bandwidth of Δf=1 kHz. Substituting the values for A, Δf, and D* in the formula of NEP, one gets
Therefore, the signal to noise ratio S/N will be
In conclusion, assuming a worst case scenario (overcast day, dirty windshield, dark occupant skin) one determines that camera 11, 12, equipped with a f/2 lens, a 1.4 to 1.7 μm filter, and a polarizer, if it is positioned at a distance 43 of d=40 m from incoming car 41 and at a height 44 of h=7 m at the specified distance 43, will achieve an acceptable smear of less than one pixel because the required exposure time of 1 ms is within the camera's speed capabilities. The signal to noise ratio (S/N) is 0.7. To boost the S/N ratio to a higher value on overcast days, one needs to employ an illumination source 14. Illumination source 14 will also be helpful during nighttime. If one operated in the visible spectrum, the use of an illuminator in the high occupancy vehicle (HOV) lane would be prohibitive. Fortunately, in this case, the spectral signature of illuminator 14 for the 1.4 to 1.7 micron wave-band can be safely employed in the HOV lane.
Post processing includes a neural network that performs automatic vehicle occupant detection. The vehicle occupant detection approach is based upon a fuzzy neural network algorithm. The perfect binary image provided by the fusion approach described above facilitates high correct detection rates.
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text:
Find the Best Texas Eating Disorder Treatment Centers
An eating disorder can be as insidious as any drug addiction. Often, the damage starts invisibly, inside the body, and as you work to stay thin you are wreaking havoc on your muscles and organs. Eating disorders are often coupled with a dual-diagnosis with other behavioral or mental disorders. This is why it is vital you get help for yourself, your friend or your loved one right away if you are battling anorexia-nervosa, bulimia or another eating disorder. Fortunately, there are 394 addiction recovery programs in Texas in places such as San Antonio. This means you can get services for your eating disorder locally or seek help in another state. Whether you're seeking executive anorexia treatments, outpatient anorexia nervosa addiction recovery or something in between, our help line at no charge advisors can offer support at (888) 997-3147.
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text:
Most Helpful Guy
yes, I literally believed my bed was spinning around the room in a really strange tangle of loops and circles. this was after a night of constant vomiting and diarrhea. then I had to drink disgusting strawberry and banana flavoured medicine that made me sick even more. I could not eat anything for days00|00|0
thanks for MHO.
Most Helpful Girl
yes I have had food poisoning several times its just awful. had it coming out of both ends fever headaches not fun21|10|0


text:
Report summaryHopes of a reversal in the lacklustre performance of most commodity markets have been firmly dashed thus far in 2015. For a fourth consecutive year, the commodities bear trend has remained a drag on producer profitability, while the rate of decline in prices has actually accelerated in most cases.
What's included?
This report includes 1 file(s)
- LME-Insight.pdf PDF - 3.31 MB


text:
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In typical Uni style, our Personalised Established Blue Text T-shirt makes a fantastic gift for all children aged 1-15 years.
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13 Dec 2016
IC7300, FT991A or KX2?
5W would be enough for me, but sadly the ICOM and Yaesu transceivers are not available in QRP versions in Europe. At the moment I favour the FT991A, if the price is right. It would rarely be used at 100W but having 430MHz could be useful.
2 comments:
- Frank Waarsenburg said...
Roger, it depends on what you use the most. I fancy HF QRP CW operation most, so my choice would be the KX2, especially because it's a SDR. If you've ever played with a SDR radio, you never go back to analog again (well, maybe except for my K1, which is still my favorite CW rig: MUCH better than my FT857 if it comes to audio). I can use my $35 Baofeng handheld for VHF/UHF if I want to. But if you regularly use VHF and UHF, then the FT991 might be your best choice, because it's all built-in. Looks like I'm still not much of a help, but again, it all depends on what you use most...
- Wed Dec 14, 07:33:00 am GMT
- krbltik said...
What about FT-891. It's a compact HF/50Mhz radio with 3khz roofing filter http://www.hamradio.co.uk/amateur-radio-mobile-radio-yaesu-mobile-radio/yaesu/yaesu-ft-891-pd-6839.php
- Wed Dec 14, 08:58:00 pm GMT


text:
Nissan Juke A Runaway Success In Japan
The Nissan Juke is such a polarizing car that any predictions regarding sales numbers in North America are almost pointless – it really is a "love it or hate it" vehicle and trying to pin down consumers taste is almost a futile exercise.
Nissan must have faith in their diminutive crossover's ability to sell here, and its doubtlessly due to the incredible sales the Juke is generating in Japan.
While Nissan estimated that there would be 1,300 orders in the first month of sales, the total came to 11,000. The largest demographic for the Juke are 20-29 year old men, a great statistic for a country where youth are rapidly losing interest in cars.
Hit the jump to read Nissan's press release, and check out Juke Forums for more info
All-New Nissan JUKE Compact Sports Crossover Off to a Strong Sales Start in Japan – Orders Exceed 10,000 Units in the First Month
YOKOHAMA (July 5, 2010) – Nissan Motor Co., Ltd. today announced that domestic orders for the all-new Nissan JUKE have greatly exceeded company expectations. Introduced on June 9th, JUKE orders for 10,943 units received to date, about one month after its release, are more than eight times greater than the monthly target of 1,300 units.
With JUKE, Nissan ushers in a new genre of vehicles, the compact sports crossover. It combines the agility of a compact sports car with the security and toughness of an SUV. JUKE has attracted a wide range of customers with its high environmental performance that complies with the tax exemption for environmentally friendly vehicles, as well as for its affordable price range.
The most popular exterior color so far has been Radiant Red, which accounts for 29% of the total orders, while the most-chosen interior color is red, consisting of over 59%.
Following is a snapshot of the initial JUKE orders: Model Grade: 15RX 97% 15RS 3%
Buyer Age and Sex: Male Female Under 29 11% 4% 30 – 39 15% 6% 40 – 49 14% 5% 50 – 59 19% 4% Over 60 19% 2%
Exterior Color Radiant Red 29% Sapphire Black 22% White Pearl 15% Dark Metal Gray 15% Diamond Silver 10% Meteorite Brown 9% Pacific Blue 2%
Interior Color Red 59% Black 41% * Interior color for 15RX 15RS interior color is Black only


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text: In Japan, so that no water flow out the ridges of rice fields, on the day solidify a lot of soil moisture. In recent years, work on a machine can be useful. In normal machine, only the length of the tractor, is absolutely leftover corners. By using "GAIA of Kobashi", the problem will be solved. "Gaia" This is dedicated to processing of the New Holland tractor.


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My account davider20045 is suspendedAsked by Davide Ramondetti on June 13, 2016 at 06:49 AM
i've created a form called Newsletter registration. When I uploaded it my account is suspended. You can unsuspended ?
I took a look at your account Davide and I see the issue.
Most of the time when someone mentions Minecraft on the form and asks for username on the same, the form is used for phishing. As such our system will automatically suspend the same.
To fix this, you should re-word / rephrase the "username" on your form and your account should be reactivated.
Do of course let us know if you have any further issues or if it is not reactivated for you and we will check it out for you.


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Winnall Planning Framework
In 2014/15 Winchester City Council commissioned a study that explores the daily problems and possibilities faced by residents and businesses in the Winnall area, from traffic and parking to community buildings, housing and green spaces.
Every neighbourhood has its challenges and its opportunities. Sometimes, long term solutions need to be identified to manage these. This study led to the development of a Planning Framework, a ten year plan that will guide decisions about policy, funding and service priorities for both Councils and that will help to make Winnall an even better neighbourhood for those who live or work there.
To help research and develop the Framework, the City Council – supported by Hampshire County Council – commissioned a consultancy team from Parsons Brinckerhoff with expertise in planning, urban design, transport, economic development and community engagement. The Framework that they produced can be found below.
The Framework explores three themes – Living in Winnall, Working in Winnall and Travelling in Winnall. It identifies ways to resolve the problems that have been highlighted through the extensive consultation process that informed the project, and opportunities to improve the area in the coming years.
The Council formally adopted the vision and objectives for Winnall in October 2015: these can be found here. A new planning policy to protect and enhance the economic capacity of Winnall over the long term has also been included in the proposed new Local Plan Part 2 for which the consultation period ended in December 2015.
The City Council is also aiming to adopt a number of actions to deliver and will continue to meet with partner agencies over the coming months and years to take forward others which require a more long term approach or more resources than are currently available. You can read more about these in the Cabinet report for 29 March 2016.
In the meantime, businesses in the Winnall area were invited to a meeting in January 2016 to consider the proposal that a new business network be created for the area. This would ensure that there was a single, strong business voice in future policy-making and project planning. This was supported, and a small working group is now progressing the network. For further information please contact Head of Economy and Arts Kate Cloud at email@example.com
|Where on this site?
|Winnall businesses working together
|Businesses from the Winnall area of Winchester are invited to attend an exploratory meeting to help shape their future.
|A new vision for future Winnall
|Following a round of consultation events and information-gathering activities earlier this year, Winchester City Council and consultants Parsons Brinckerhoff have developed a vision for the future of the Winnall neighbourhood.
|Future of Winnall takes shape
|Following two rounds of events and meetings with community groups, businesses, councillors and other agencies earlier this year, the consultant team working on the Winnall Planning Framework has delivered a final draft of the document to the City Council.
|Winnall people out in force to launch new infrastructure project
|Winnall businesses and residents have wasted no time in getting involved with Winchester City Council's latest project. A business breakfast discussion and an afternoon 'Jamboree' brought people out in numbers last Thursday.
|Work starts on 10-year infrastructure plan for Winnall neighbourhood
|Winchester City Council and Hampshire County Council have together commissioned a study that seeks to explore the daily problems and possibilities faced by residents and businesses in the Winnall area, from traffic and parking to community buildings, housing and green spaces.
|Download Time
|Some of the following documents are in pdf format. You can download and install a free PDF reader to enable you to read and print them. Click here to download Adobe Acrobat (PDF) Reader.
|Winnall Planning Framework Final
56Kbps Modem: 4 Minutes 3 Seconds
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|Winnall Planning Framework_Technical Appendices
56Kbps Modem: 11 Minutes
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|Winnall Map for Planning Framework
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|Specification for Winnall Planning Framework
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|Winnall Planning Framework exhibition boards
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|Winnall Planning Framework Note, OutDesign July 2015
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text: Proudmoore's Defense Armor increased by 40.Stamina increased by 10. Duration: 30 Minutes A buff given you upon accepting the quest [36] The Missing Diplomat (15) External linksEdit Wowhead Thottbot WoWDB Retrieved from "http://wowwiki.wikia.com/wiki/Proudmoore%27s_Defense?oldid=1464150" Ad blocker interference detected! Wikia is a free-to-use site that makes money from advertising. We have a modified experience for viewers using ad blockers Wikia is not accessible if you've made further modifications. Remove the custom ad blocker rule(s) and the page will load as expected. Categories: Buffs Add category Cancel Save


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- Home
- News
- Sports
- Opinion
- Obituaries
- Features
- Special Sections
- Classifieds
- Public Notices
The Henry County School's Winter Concert included performances by the Henry County High School Concert Choir, the Henry County Middle School sixth-grade choir and Henry County Middle School seventh and eighth grade choir. Holiday favorites like "Jingle Bells" were included as sing-alongs with the audience. The Henry County High School Concert Choir sang "How Like a Winter" with words by William Shakespeare and music by accompanist Ruth Ann Mills-Moore. More pictures at www.hclocal.com
If you currently subscribe or have subscribed in the past to the Henry County, then simply find your account number on your mailing label and enter it below.
Click the question mark below to see where your account ID appears on your mailing label.
|ZIP Code:


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Sean Tizzle's music lately are becoming more focused on ceremonies, especially good for the "owambes." This is another new number, "Jalolo" from the hit-maker.
"Jalolo" is a song that fits live band performance and for relaxation. Listen to "Jalolo" that was produced by Blaq Jerzee and tell us what you think.
Sean Tizzle – Jalolo


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The Freedom to Breathe (FTB) provisions of the Minnesota Clean Indoor Air Act (MCIAA) prohibit smoking in enclosed workplaces with two or more individuals and in virtually all indoor areas used by the public (MN Stat. Sec. 144.411et seq).
Under the FTB provisions, smoking is also prohibited in public and private educational facilities, healthcare facilities; home offices with one or more on-site employees; bars, restaurants, and private clubs; common rooms in lodging facilities; and commercial vehicles with more than one person, public vehicles and facilities, and for-hire vehicles such as limousines and taxis.
The FTB provisions of the MCIAA permit smoking in the following locations:
Smoking equipment. Proprietors must remove all ashtrays, smoking receptacles, and other smoking-related equipment from the premises.
Signs. "No Smoking" signs must be posted immediately inside all entrances to the facility. Signs are downloadable at http://www.health.state.mn.us/divs/eh/ indoorair/mciaa/ftb/docs/nosmoking.pdf.
Noncompliant persons. Proprietors are required to deny services to persons refusing to comply with the FTB provisions and to ask them to leave the ...


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- Prime Minister's Office
- Ministry of Education, Science and Culture
- Ministry for the Environment and Natural Resources
- Ministry of Finance and Economic Affairs
- Ministry for Foreign Affairs
- Ministry of Industries and Innovation
- Ministry of Justice
- Ministry of Transport and Local Government
- Ministry of Welfare
Institutions and Agencies
News and Press Releases
EFTA Ministerial meeting - Communiqué
On 26 June 2017, the European Free Trade Association (EFTA) held its summer Ministerial meeting in Longyearbyen.
Ministerial meeting of the Council of the Baltic Sea States concluded in Reykjavik
The Ministerial marked the 25th anniversary of the CBSS and concluded Iceland 's presidency of the Council.
Submarine surveillance exercise in Icelandic waters
The exercise named Dynamic Mongoose 2017 draws on assets and personnel from nine NATO Allies; USA, Norway, France, Germany, United Kingdom, Denmark, Canada, Poland and the Netherlands. It is held from 23 June to July 6.
- Presentation: Use of living marine resources in Iceland
- The hunt for Marine data in an imperfect World
- Manchester terror attack - Prime Minister of Iceland expresses his condolences to the British Prime Minister
- The most powerful tool we have to safeguard our interests
- Two new ministries commence operation
- Barbershop at the Nordic house - Mobilizing Men and Boys for Gender Equality
- Foreign Minister and President meet with Russia's President Putin
- Iceland Lifts Capital Controls


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402. If you're after a little privacy with some water frontage, then look no further! This 2.2+/- acres of heavily wooded rolling terrain with 153+/- feet of frontage on Spirit Lake is ready for you to start building your future. The site is adorned with towering Maple trees and features a driveway/road running down close to the water, where a recreation area complete with fire pits and cement patio overlook the lake. This site is buildable and ready for your future lakefront home or cabin plans! Located 8.2 miles north of Rib Lake on N. Lamar Drive.
Features Residential
|Lot Size SqFt: 95832
|Lake Chain:
|Lot Size Acres: 2.2
|Lake Name: Spirit Lake
|Zoning: Recreational
|River Name:
|Taxes: $747
|Water Frontage (feet): 153
|Tax Year: 2015
|Lake Size-Acres: 126
|High School: TA Rib Lake
|Shoreline: Rocky, Sand
|School District: Rib Lake
|Access Road: Town Road, Unpaved Road
|Site Influence: Buildable, Cul-de-sac, Driveway, Lake Front, Private Setting, Quiet Area, Recreation Nearby, Rolling, Rural Setting, Sloped/Moderate, Water View, Wooded Area


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Posted by Veronica
He safe my corporation from closing. My company had a difficulty paying the lone that was issue in 2007.
Due to the economic crises in USA. My Company was force to stop paying the loan. I try to speak to a lending officer for the reduction of payments. The lender did not want to make any agreement for the reduction of payments and give loan to collection attorney, when i try to negotiate whit them they did not wont to hear any of my plead. They just went got the judgment on my company and me personally. The next that I received, was notice from the sheriff office. Judgment. This is when I went to few law firm, asking for the advice, most that I got is that I should close the company, do the bankruptcy, In My mine was no ,no way , I try all this time to stay a life by working 2 jobs and paying the bills for the business to be open , friend recommend Mr. Jaros from Jeroslawcz & Jaros LLC. When I went to his office he explained to me the law , contacted the lending attorney, made agreement whit the lender for the smaller payments , so that company do not need to closed . Hopefully economy will pic-up , company will return lone to a lender.
This is the type of the professional that you need to have on the side of your business. Thank You,


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Sanitation and Chemical Safety Training for Food Manufacturing
Product ID: 702515
- Duration: 60 Min
Customer Care
Fax: +1-650-565-8542
Email: email@example.com
The objective of the webinar is to present you with all-inclusive information on sanitation and chemical safety for food manufacturing. This webinar will provide detailed training which in-turn will benefit all team members who are involved in plant cleaning and sanitation.
Why Should You Attend:
Sanitation is a key component or prerequisite program in any food safety or HACCP program. It is a key component of all GFSI audits. Without proper sanitation policies, procedures and training, it is not possible to comply with the aforementioned requirements.
Additionally, customers will want to know that the program is fully implemented and updated with ongoing training. This 60 minute webinar will provide the detailed training needed for all team members involved in plant cleaning and sanitation. It is intended that this webinar will serve as a training module that may be used with your company's program. Whether using Alchemy or break time videos, this presentation can be seamlessly incorporated into any format and presented.
Attending this seminar will help you understand:
- The basics of chemical safety
- Accessing MSDS for emergencies
- Storage of Chemicals
- The Basic steps to cleaning and sanitation of the facility and its equipment
- The relationship between sanitation, HACCP and food safety
The session will include a quiz, sign in sheet and forms for use in new programs and also the speaker will handle your specific questions and address any challenges you have/had sanitation and chemical safety for food manufacturing. You will also be given sample SOP and checklist for your reference.
Areas Covered in the Seminar:
- Non food facility cleaning
- Food Contact Sanitation
- SSOPs
- Chemical Safety
- Food Safety and microbiological concerns
Who Will Benefit:
- Food Manufacturing employees at all levels, especially sanitation and operations/production team members
- Auditors who review facilities quality assurance programs
- Customers who want to understand best practices that they should require of their suppliers
Melinda Allen, is an Independent Quality Assurance and Food Safety Consultant. She has provided services to some of the top Brands in QSR and Food Manufacturing. Melinda specializes in Quality Systems Audits and Programs across a wide variety of product categories. From Meat and Poultry to Bakery, Spices and Produce, she has been an integral part of raising industry standards and helping manufacturers take their programs and facilities to World Class. Working with suppliers to obtain and maintain some of the largest QSR customers has been her passion.
She has twenty years experience including leadership with Taco Bell/YUM Brands and Quiznos Quality Assurance in partnering with Marketing Engineering and Testing Laboratories to commercialize and monitor compliance of Food, Premiums, Packaging and Equipment. Her expertise has been sought out by and benefitted major brands such as Burger King, Panda Express and Popeyes.
Melinda has a degree in Biology from Oberlin College and numerous certifications in SPC, HACCP as well as continuing education in GFSI auditing and Tortilla Baking.
Topic Background:
9 CFR 416 Rules
This regulation sets out the general requirement that food manufacturers must operate and maintain facilities and processes in a manner sufficient to prevent the creation of insanitary conditions.
Manufacturers are expected to ensure sanitary conditions on grounds around the facilities, prevent pest control, ensure facilities are of sound construction and properly repaired, provide good quantity of light and ventilation and proper plumbing. The regulation also addresses hygiene requirements for equipment and utensils and employees. The rules also require manufacturers to develop, implement, and maintain written standard operating procedures for sanitation (Sanitation SOP's).
More Trainings by Expert
Allergen Control Strategies for Food Manufacturers
Pathogen Control Programs for food Manufacturers
NLEA Regulation for Retail and Foodservice Labeling - Government Mandate and Additional Verbiage to Increase Food Safety and Brand Protection
Food Allergen Programs - Current Trends, Technologies and Risk Mitigation
A Guide to HACCP Validation and Verification for Food Manufacturers and Restaurants to comply with upcoming documents from FSIS to clarify requirements
Refund Policy
Registrants may cancel up to two working days prior to the course start date and will receive a letter of credit to be used towards a future course up to one year from date of issuance. ComplianceOnline would process/provide refund if the Live Webinar has been cancelled. The attendee could choose between the recorded version of the webinar or refund for any cancelled webinar. Refunds will not be given to participants who do not show up for the webinar. On-Demand Recordings can be requested in exchange.
Webinar may be cancelled due to lack of enrolment or unavoidable factors. Registrants will be notified 24hours in advance if a cancellation occurs. Substitutions can happen any time.
If you have any concern about the content of the webinar and not satisfied please contact us at below email or by call mentioning your feedback for resolution of the matter.
We respect feedback/opinions of our customers which enables us to improve our products and services. To contact us please email email@example.com call +1-888-717-2436 (Toll Free).
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We have a broad network of the world's best social platform, integration and channel partners tha extend the business value of NetBase to global brands and agencies.
Our partnerships represent a diverse range of industry leading companies with complementary technologies, solutions, and services. Together we enable decision makers and business users to understand what their customers are saying in social, and make faster, better-informed decisions to grow their business.
We work with some of the most powerful social media platforms to provide a robust feed of social insights to empower customers – from analysts, business managers to C-Suite decision makers, to make the best business decisions with confidence – in real time.
With our close partnership with Twitter, we're able to give marketers unparalleled psychographic and demographic audience insights to better inform marketing strategies that drive revenue growth. We were one of two launch partners selected to bring Twitter's new audience application programming interface (API) to market, giving marketers the most accurate view of customers based on actual behaviors and conversations in social.
We partnered with Tumblr to give customers complete access to all public activity on the Tumblr platform, providing great depth of business insight for brands and agencies, especially into the highly sought after millennial audience.
Our partnership with Datasift gives customers an in-depth real-time understanding of what's being shared by over 1.5 billion active users on Facebook, the world's largest social platform. Visibility into aggregated Facebook topic data opens up new opportunities for marketers to engage effectively with key audiences and drive revenue growth.
The NetBase platform integrates with market leading business intelligence and social marketing solutions that give our customers a real-time, comprehensive view of the business and empower them to make the most informed decisions to grow revenue.
We partnered with Domo, The Business Cloud, to integrate social insights with Domo's cloud-based platform. The integration is enabled through a self-service NetBase connector, available in the Domo Appstore. NetBase will also deliver social listening apps to the Domo Appstore.
We have partnered with Spredfast to bring our joint customers best-of-breed coverage from social listening and analytics to publishing and engagement enabling powerful end-to-end use-cases. Customers will be able to take rich topic and theme data from NetBase and bring it directly into Spredfast to be laser focused on critical business initiatives such as social care, crisis moments and social selling.
Our world-class channel partners extend the international reach of NetBase. In an increasingly global marketplace, these valued partners unlock the business value of NetBase worldwide for our largest Brands and Agencies. Our global sales and marketing network spans North America, Europe, Asia, and Latin America.


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Product Description
Marshmallow has been found to relieve irritation of the mucous membranes of the respiratory and gastrointestinal tracts and to help normalize mucous secretions. Papaya Leaf has been known for its wonderful digestive work and contains proteolytic enzymes (acts on protein). Papaya Leaf has properties to protect the stomach mucosa from damage and ulcer formation. Prickly Ash is known for its support of the glands and aid in tissue repair, colic, ulcers and gastrointestinal distress. Gota Kola is known in India as a longevity herb and is uncommonly rich in B vitamins and potassium.
Additional Information
|Serving Size:
|2 Capsules
|Per Container:
|90 Capsules
|Ingredients (Amount Per Serving)
|Other Ingredients
|100% Vegetarian Capsule Cellulose, Water
Contains no dairy, preservatives, salt, sucrose, soy, wheat, yeast, nuts, gluten, artificial colors or flavors.
|2 capsules of Acid Soothe at the end of every meal to prevent digestive discomfort. 2 Acid Soothe may be taken any time digestive discomfort begins.
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Majini (a Swahili word meaning "evil spirit") are the main antagonists of Resident Evil 5, much as the Ganados were the main antagonists in RE4. Majini are unfortunate humans who have been taken over by the weaponized Las Plagas parasite developed by Wesker, making them stronger, tougher, more violent, and far less rational.
Majini encountered early in the game are roughly equivalent to the Ganados of RE4 in terms of power; later in the game, the player encounters test subjects of a "type 3" Las Plagas parasite that further increases strength and stamina and can increase the subject's height to around nine feet. The Majini with a chainsaw still has a burlap sack over his head.


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Latest Tweets
- RT @SportsBizMiss: To change a stupid rule in my HOA takes a 75% vote, but the UK is leaving the EU on a 51.89% vote. 1 year ago
- I wish our ballot initiatives were this clear. https://t.co/TjmBDeIwiJ 1 year ago
- If #brexit vote was in US, it would be YES/NO worded: Resolution to no longer agree to active EU participation. And then mess it up. 1 year ago
- Are California and Minnesota the two most innovation-friendly states? wapo.st/125R9Sr 2 years ago
- RT @UMNews: Finally, @RockTheGarden is this weekend! Retweet by 4pm today & enter a drawing for a pair of VIP #RockTheGarden tix! http://t.… 3 years ago
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Tag Archives: changing the way employees think about problems
A Philosophy Too Important Not to Share: Futures Mindset. Complete Chapter from Saving Innovation
An American legend, Kodak, has filed for bankruptcy. A key lesson from Saving Innovation details how to change the way employees think about problems by instituting a futures mindset. Could thinking with a futures mindset have saved Kodak? That's too … Continue reading
How Kodak Bankruptcy Could Have Been Avoided by Using a Futures Mindset
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4 Bunches Fall Leaves( Sold Out )
Item Number: ARTI_D09x4
- Leaves are Approx. 3" long x 3" wide
- Total length of bunch : Approx. 18"
- Total extended width of bunch: Approx. 25"
- Leaves are non-separable from stems
- One order is for 4 bushes
- These are artificial, not fresh flowers
Colorful leaves make a great addition to any vase flower arrangements. And when using leaves, the ones you get during fall season come in pretty hues of green, red, orange and brown. But what if its not fall? Or if gathering stalks of fall leaves is beyond inconvenient?
Here at efavormart, we offer the realistic silk alternative to the real thing. These lovely darlings will definitely add vibrance to your vase flower arrangements in-doors and out. In fact, when hanged on the stairwell, columns or on walls, you can either have a fall season or jungle theme to your event. If you'd like to keep them clipped in a tight bunch, fall leaves can be combined with various silk flowers to create lovely bouquets. In fact, fall leaves are economical, easy to clean, and wont fade. Dont be held back by mother nature anymore. Get your fall leaves when you want them here at efavortmart for that wedding or decoration theme that you want.
Additional Information:
-Leaves are Approx. 3" long x 3" wide
-Total length of bunch: Approx. 18"
-Total extended width of bunch: Approx. 25"
-Leaves are non-separable from stems
-One order is for 4 bushes