Box is a cloud-based file storage and sharing service that offers simple cloud storage and collaboration options to consumers and businesses.
Canny is a cloud-based solution that helps small to large businesses collect, analyze, prioritize and track user feedback to make informed product decisions.Canny Integrations
It's easy to connect Box + Canny without coding knowledge. Start creating your own business flow.
Triggered when a new event is performed (this is the activity stream).
Triggered when you add a new folder.
Triggers when a new comment is created.
Triggers when a new post is created.
Triggers when a new vote is created.
Triggers when a post's status is changed.
Adds a comment to a file.
Adds a task to a file.
Adds an individual user as a collaborator on a folder.
Creates a brand new folder at the path you specify.
Moves or copies a file from one folder to another.
Upload a file to specific folder.
Changes a post's status.
Box is a method of data analysis used in statistics. It was created by George E. P. Box in 1963 to test the significance of the parameters in an experiment. While it does not prove or disprove the experiment, it allows for the calculation of the probability of the result being due to chance alone. It is characterized by the use of a line graph with a line drawn through parallel lines at a designated percentage of the data. The lower the percentage, the less likely is the data to be due to chance alone. This method does not take into consideration any other factors that may have contributed to the result. Canny is a method of data analysis used in computer vision. It was developed by John F. Canny in 1986 as a way of detecting edges to locate objects. It uses a gradient operator to find boundaries and uses a series of filters to detect edges. It is characterized by a response curve similar to a human perception curve. Canny has been used for many applications such as medical diagnosis, automobile cplision avoidance, and image processing. The program will have influences from both methods as well as other methods mentioned previously in class.
In order to create a program that incorporates the two methods, the first step is to determine how each method works. In Box, you treat each result as a trial and perform a statistical test on each trial to determine if it is significant or not. In Canny, you treat each pixel as a trial and perform a statistical test on each pixel to determine if it is significant or not. In order to incorporate both methods, we must first see what each process does and then try to integrate them into one program. One way to do this would be to create a program that takes in all the pixels from an image and performs the Box-test on each pixel to determine if it is significant or not based on the results from previous tests. The program would also utilize the Canny algorithm to determine if there are any edges present within the image and utilize those edges as part of its results. The program would then create a statistical report containing all of its findings and display them on a graph much like Box and Canny would do.
There are several benefits to creating an image analysis program that incorporates both methods as opposed to creating two separate programs. The biggest benefit is that it would be easier to write and maintain as well as simpler as far as performance goes than both programs combined would be. Also, having both methods in one program would allow for easier integration back into their original programs since no major changes need be made. This would make it easier for future iterations of the program to incorporate any bug fixes and enhancements made throughout its development and use.
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