Web Filter Open Source

web filter open source
    open source
  • Christopher Lydon (born in Boston, Massachusetts, in 1940) is an American media personality and author. He is best known for being the original host of The Connection, produced by WBUR and syndicated to other NPR stations.
  • Denoting software for which the original source code is made freely available and may be redistributed with or without modification
  • of or relating to or being computer software for which the source code is freely available
  • Open source describes practices in production and development that promote access to the end product's source materials. Some consider open source a philosophy, others consider it a pragmatic methodology.
    web filter
  • Content-control software, also known as censorware or web filtering software, is a term for software designed and optimized for controlling what content is permitted to a reader, especially when it is used to restrict material delivered over the Web.
  • (Web filters) You can create Web filters, based on Internet Server API (ISAPI), for viewing, analyzing, blocking, redirecting, or modifying Hypertext Transfer Protocol (HTTP) and File Transfer Protocol (FTP) traffic.
  • A feature in the Vista Parental Control that allows user to block access to a specific web site or specific types of web content.
web filter open source - Configuring IPCop
Configuring IPCop Firewalls: Closing Borders with Open Source: How to setup, configure and manage your Linux firewall, web proxy, DHCP, DNS, time ... VPN with this powerful Open Source solution
Configuring IPCop Firewalls: Closing Borders with Open Source: How to setup, configure and manage your Linux firewall, web proxy, DHCP, DNS, time ... VPN with this powerful Open Source solution
This book is an easy-to-read guide to using IPCop in a variety of different roles within the network. The book is written in a very friendly style that makes this complex topic easy and a joy to read. It first covers basic IPCop concepts, then moves to introduce basic IPCop configurations, before covering advanced uses of IPCop. This book is for both experienced and new IPCop users. Anyone interested in securing their networks with IPCop - from those new to networking and firewalls, to networking and IT Professionals with previous experience of IPCop. No knowledge of Linux or IPCop is required.

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glass, steel, sky
glass, steel, sky
5 exposure hdr; . HDR and Orton Tutorials ************************************************************* . -------------------------------------------------------------------------------------------------------------- HDR (high dynamic range) -------------------------------------------------------------------------------------------------------------- the concept (as I see it): HDR is just another technique which allows the photographer to recover details that would be lost in a normal photograph. Taking a picture of a person in front of a bright window can present 2 extremes: the sunlight coming through the window is usually much brighter the the ambient light in the room. if the camera is adjusted to get the details from the scene outside the window, the fast shutter speed would not allow enough light to show details inside the room, so the person becomes a silhouette (underexposed). If the camera is adjusted to get the details on the person's face the slower shutter speed will allow too much sunlight and the outside scene becomes white (overexposed) In its simplest form the HDR process allows you to take 2 images: one adjusted for the outside light and the other adjusted for the inside light, and combine them so you get the details from both in the more advanced form of HDR you'd take multiple shots at different exposure levels and combine the images to get the details from all of them (a more subtle and realistic combination than using just 2 shots) I usually start with the slowest shutter speed that would overexpose the entire image (the LCD monitor is completely white), take the shot, increase the shutter speed by 1 step (ev) and take another shot, increase the shutter speed again by 1 step (each step will reveal more and more details and darker areas), take the shot, and so on until the shutter speed is so fast that the entire image is black. this technique was used in standard (film) photography as well, long before the HDR term became popular. The difference between "now" and "then" is the way the images are combined. A program like Photomatix makes the work a lot easier and faster but also allows users to exaggerate or abuse the process. I believe that most people new to this technique SHOULD experiment with the limits, and a lot of experiments will inevitably end up as overdone images, but eventually common sense and personal taste will help anyone show their creative side (I'm still experimenting :) . in order to form good habits you should start by using a tripod: sometimes even with a tripod the different images are not aligned because of the mechanics of the camera itself (mirror movement) or touching the shutter button. daytime (or good lighting) 3 or 5 bracketed shutter speeds might be enough at night (or low light): - start with the slowest shutter speed that will reveal good details in the darkest areas (if it's very dark, usually outside city areas like forests, I start with 60 second exposures) - increase the speed by 2 or 3 steps - end when the most overexposed areas will show enough details in Photomatix open all relevant shots - HDR -> Generate -> Select images [ -> Select the exposure steps ] - if you used a tripod, and shutter delay, and a remote you don't need (the slower) alignment - when the image is open, select HDR -> Tone Mapping (Details Enhancer) - with high dynamic range the Strength and Color Saturation can be set higher, while Light Smoothing stay in the positive range (0 to 2) to avoid the dreaded HDR glow - Negative Luminosity can be used for higher contrast along with Micro Contrast - in some images, very low Micro Smoothing (0 to 5) will emphasize interesting textures, where others can show unwanted effects - images with moving objects from one shot to another can be cleaned up in Photoshop using one of the original images, or blurring notes about aperture: - large aperture: f/2=large opening of the diaphragm - large aperture allows more light in and fast shutter speed, hence "fast lens" - large aperture reduces depth of field - with a subject closer to the camera, the background will be out of focus / blurred / bokeh - small aperture (f/22 up to f/64) increases DOF - both subject AND background will be in focus / sharp - another effect of small aperture: similar to starburst filter for light sources (spikes / rays of light) -------------------------------------------------------------------------------------------------------------- Orton effect (used more often in nature shots) -------------------------------------------------------------------------------------------------------------- - open the image in Photoshop - duplicate the initial layer - overexpose the new layer: select Image -> Apply Image - in Apply Image dialog change blending from "Normal" to "Screen" (Opacity 100%) -> exit - duplicate the overexposed layer - blur the overexposed layer: Filter -> Blur ->
Comet Hartley 2 103P passing NGC 884 NGC 869
Comet Hartley 2 103P passing NGC 884 NGC 869
Located in the constellation Perseus at a distance of over 7000 light years is the famous double cluster, NGC 884 and NGC 869. The stars of these open clusters were born from giant gas clouds almost 6 million and 3 million years ago, making these open clusters newcomers to the Milky Way. The double cluster is headed our way at roughly 22 km/s. Moving at nearly the same speed as the double cluster , Comet Hartley 2 is in our solar system. It orbits the Sun every 6.46 years at a speed of 23 km/s. According to the Arecibo Observatory, Hartley 2's nucleus is highly elongated like a pickle and is about 2.2 kilometers long, rotating around itself about once every 18 hours. (think really fast tumbling space pickle) Comet Hartley 2 103P can be seen in this image as the glowing green orb to the left of the double cluster. When this image was taken, (0303 to 0313hrs UTC 08 Oct 2010), Comet Hartley 2 103P was located RA 02 14 53.93 Dec +56 43 01.7 at magnitude 11.14; 0.155 AU from Earth and 1.099AU from the Sun. for reference: 1 AU (Astronomical Unit) is the average distance between the earth and the sun...one version of a stellar yardstick. 0.155 AU = 23,187,669.95 km from the Earth 1.099 AU = 164,408,059.88 km from the Sun Cyanide and carbon tend to glow green when exposed to solar radiation and these gases around comet Hartley 2 are actually glowing green. Comet Hartley 2, is typical in that most comets usually outgas cyanide, a common carbon-based molecule. However, demonstrating a phenomena never observed before, over eight days in September 2010, this comet increased its cyanide output 5-fold without increasing its dust output. Research prior to and from the EPOXI mission suggest that this comet is also outgassing water molecules at a rate of 230 kilograms per second as ice evaporates when the comet approaches the Sun. On November 4th, 2010 NASA's EPOXI spacecraft probed this comet to learn more of its secrets and will hopefully shed light on the origins of our solar system. x1 10 minute exposure, Canon Rebel XS at prime focus, ED80 Apo refractor, guided, HEQ5. No filters. Exposure from 2303hrs to 2313hrs EST October 07 2010 or 0303hrs UTC to 0313hrs UTC October 08 2010. sources for comet data are NASA's web-based Horizon ephemerides generating software for solar-system bodies and NASA's EPOXI Mission. EPOXI = EPO (Extrasolar Planet Observation and characterization) + XI (deep impact eXtended Investigation)

web filter open source
web filter open source
Digital Image Processing: An Algorithmic Introduction using Java
Written as an introduction for undergraduate students, this textbook covers the most important methods in digital image processing. Formal and mathematical aspects are discussed at a fundamental level and various practical examples and exercises supplement the text. The book uses the image processing environment ImageJ, freely distributed by the National Institute of Health. A comprehensive website supports the book, and contains full source code for all examples in the book, a question and answer forum, slides for instructors, etc. Digital Image Processing in Java is the definitive textbook for computer science students studying image processing and digital processing.

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