PUBLIC MARKS with search intensity

Fotoxx is a free open source Linux program for editing digital photos. The goal of fotoxx is to meet most photo editing needs while remaining easy to use. Short Description Navigate images using a pageable thumbnail window. Change brightness and contrast, change color intensity, saturation, depth, make panoramas and HDR images, fix red-eyes, trim, rescale, rotate, warp, fix perspective, sharpen, blur, remove noise, add artistic effects. Edit within mouse-selected area. Import RAW files, edit 16 bits/color. Add tags to images, search by tags, dates, and star-ratings.

By producing "6-D" images, an MIT professor and colleagues are creating unusually realistic pictures that not only have a full three-dimensional appearance, but also respond to their environment, producing natural shadows and highlights depending on the direction and intensity of the illumination around them.

La réalité est ce que l'on ressent…

Our eyes are very adaptive and they are also more sensitive to intensity than color. It is estimated that our eye can see over a dynamic range of nearly 24 f-stops while a digital camera can capture a dynamic range around 6 to 9 f-stops.

Tangerine! lets you easily create playlists of upbeat music, or playlists for relaxing. It works by analyzing the BPM and the beat intensity of your music. Spend your time listening to music, not making playlists.

The Dimes Project provides several excellent data sets that describe the structure of the Internet. Using their most recent city edges data (Feb 2007), I created a set of visualizations that display how cities across the globe are interconnected (by router configuration and not physical backbone). In total, there are 89,344 connections. The first rendering displays the relative densities of Internet connectivity across the globe. The stronger the contrast, the more connectivity there is. It is immediately obvious, for example, that North America and Europe are considerably more connected than Africa or South America. However, it is important to note that this only reflect density of connections, and not usage. Hundreds of people may utilize a single connection in an internet cafe, often the only form of connectivity people have access to in developing nations. Additionally, three graphs showing network connections were created. I should note this is not the first time graphs like this have been created - I've seen dozens of variations, most being practical in nature (e.g. cable locations, bandwidth). I decided to pursue an aesthetic approach - one more visually intriguing and interesting to explore than useful. The intensity of edge contrast reflects the number of connections between the two points. No country borders or geographic features are shown. However, it should be fairly easy to orient yourself. Note: No projection has been applied to the geographical data. Latitudes and Longitudes were rounded to the nearest whole number and used in a flat coordinate system. This means that the planetary surface area represented by each point varies, skewing how the data (and densities - both point and edge) is shown!

During the month of May we rented the Tobii eyetracker to conduct a variety of studies about online news design decisions. Different designs for displaying "breaking news" and supplemental links were tested. We also looked at three variations of New York Times story level pages (the difference was the intensity and variety of supplemental information links available.) All three of these studies need some time to digest the data (from both the eyetracking behavior recorded and the survey responses by the participants.) They will be reported on in later columns.

Student DNA, StudentDNA(TM) and LearnerDNA - represents a learning technology and methodology on how students learn and remember content. These trade names and marks are owned by LearnCast(TM) and LearnKey(R)Inc. Founded in 2003 by members of LearnKey " Alliance Team" led by David Clemons Partner and President of LearnKey Inc. Contact David Clemons onlineexpert1@hotmail.com or David.clemons@learnkey.com StudentDNA is considered the "4th Learning Modality", using visual media content, auditory based feeds, interactive feeds and the 4th Modality - StudentDNA, a learning technology, a science of how students learn based on a unique set of measurements of visual, audio and kinesthetic. Our proprietary learning algorithm is the first measurable learning technology that measures the exact % of visual, audio and kinesthetic modes of learning with once extra proprietary measurement. of personal selection and personal interaction with a learning environment and style. Students learn differently, as unique as a human finger print, each student has a unique learning style and very individualized ability to recall information. StudentDNA, LearnerDNA, represents a simple learning technology that actually discovers how a student learns, how long a student is engaged in learning and when they start “checking out” it also offers solutions to a student who does not understand the content presented. StudentDNA / LearnerDNA Students learn differently, as unique as a human finger print, each student has a unique learning style and very individualized ability to recall information. StudentDNA, LearnerDNA, represents a simple learning technology that actually discovers how a student learns, how long a student is engaged in learning and when they start “checking out” it also offers solutions to a student who does not understand the content presented. Today, classrooms are filled with students who feel lost in understanding the content, unmotivated and or unwilling to learn, not tuned in, disengaged and that they are wasting their time. We all hear this too many times from our students. StudentDNA is an underlying technology that operates in conjunction with content and creates a database of user information that is constantly updated each time a student engages in the system. Through a combination of smart learning algorithms, StudentDNA is constantly assessing the user activity in the following manner: Speed in content delivery response Accuracy of interactive hands on labs User attention span Time engaged The goal of StudentDNA/LearnerDNA is to determine the students balance between visual, auditory and kinesthetic learning modalities. Our goal to constantly validate that our processes are effective and keep the users engaged with content best suited for the student providing a better opportunity for the student of retention of the content. We perform checks and balances that seem invisible to the users yet we pull a constant stream of data on how the student is performing. Examples of how StudentDNA works: 1. The goal of StudentDNA is to provide content to each student with intensity based on the total amount of time that a student can endure and show learning engagement. If the average student averages only 17 minutes of focus when presented educational content, what happens when the student has shut off the learning mode and closed down in 12 minutes? Is the remainder 5 minutes wasted Does the student “check out?” What does the student do when they “check out”? Can a mentor determine who is “checked out” when it happens? StudentDNA is performing checks in the background, watching for gaps in response time, speed of reactions to very simple straight forward presentations, accuracy of simple reoccurrences. The power of studentDNA is measuring student engagement and knows when the student needs a break. When a student disengages from a high level to a low level of input, or response and recall, the system flags a learning alert and creates a series of on screen events such as images, games and exercises as well as a “mentorCall”. The mobile alert system – flags that a student is having focus attention issues. The mentor goes one on one and determines the break and mental status of the user. StudentDNA has both an electronic delivery component for presenting content and a communications component that drives information to mentors who need to monitor where students are.

# Donâ t watch TV or even so much as look at a computer screen atleast 30 minutes before you lie down. The light from both a television as well as a computer monitor mimic the same intensity of light as sunlight. This fools your body and brain into th

Burst Detection The Burst Detection algorithm has been developed and provided by Jon Kleinberg (Cornell University). The algorithm aims to analyze documents to find features that have high intensity over finite/limited durations of time periods. Rather than using plain frequencies of the occurrences of words, the algorithm employs a probabilistic automaton whose states correspond to the frequencies of individual words. State transitions correspond to points in time around which the frequency of the word changes significantly.

Practitioners of Ajax get high-intensity user interaction (end-user productivity), asynchronicity (efficient backround processing), web browser access to web services (web service access, reuse, and interoperability, as well as SOA integration), platform neutrality (browser and operating system agnosticity), and the Ajax feature set can be delivered as a framework you don't have to create yourself (developer productivity).

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A new graphic style also emerged. Bold exaggerated brush stokes created dynamic and expressive images which suited the high emotional intensity of these films.

A new graphic style also emerged. Bold exaggerated brush stokes created dynamic and expressive images which suited the high emotional intensity of these films.

Care and feeding of geeks: provide background activities if you want to spend low-intensity time together