I am looking for some sort of code to add members to a Distribution List in GAL. We are moving to a new DL naming convention in the new system and I need to add hundreds of users to new distribution lists without fail. Manually doing this will take ages and I am looking for achieving this programmatic-ally.. I was searching for the past 4hrs with no luck. I don't even know where to start. Any help is appreciated...
http://msdn.microsoft.com/en-us/library/bb645998.aspx
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I need to find which link among turtle links is the oldest or newest , now I am using a property called , link-order which stores this value for each link and I find it using min-of my-out-links [link-order]
Is there any better way to do this? Without the need to have link-order attribute for all the links?
The only alternative I can think of would be to have a global list of all links, and whenever a link is created, stick it on the end (and remove any nobody entries that have accumulated because of links dying). Then the oldest link is always the first item in the list.
Your original idea seems fine to me too though — neither approach seems obviously superior to the other. I'd probably pick your idea just because it seems a little simpler and less error-prone to code.
See the screenshot here:
I'd like the user to just type a city or country name and the autocompleter will show suggested items.
How should I start for creating it?
Are there any API(s) or web services for me to call?
Where can I find the database of all cities/countries in the world?
I think this would be the best database for your situation, check it out:
http://www.geodatasource.com/cities-free.html
You first need a autocomplete plugin.
I recommend to use the jQuery-Ui Auto Complete Plugin.
The database could as example be this, but eventually try to search a bit for yourself.
There was already a question on stackoverflow about a database for cities of the world.
A simple text file with all cities may also be this.
There are very much of those libraries, but you have to chose the right one for you.
My solution may not be the best, but it's a starting point:
Google a list with all countries (ISO-Standard), paste it into a txt-file. Then you can simply read that file with PHP an create a select menu with the contents of the file.
It does not incorporate the cities, but maybe it helps you in some way.
I'm really stuck right now. I want to apply LIBSVM for Image Classification. I captured lots of Training-Images (BITMAP-Format), from which I want to extract features.
The Training-Images contain people who are lying on the floor. The classifier should decide if there is a person lying on the floor or not in the given Image.
I read lots of papers, documentary, guides and tutorials, but in none of them is documented how to get a LIBSVM-Package. The only thing that is described is how to convert a LIBSVM-Package from a CSV-File like this one: CSV-File. On the LIBSVM-Website several Example-Data can be downloaded. The Example-Data is either prepared as CSV-Files or as ready-to-use Training- and Testdata.
If you look at the Values which are in the CSV-File, the first column are the labels (lying person or not) and the other Values are the extracted features, but I still can't reconstruct how those values are achieved.
I don't know if it's that simple that nobody has to mention it, but I just can't get trough it, so if anybody knows how to perform the feature extraction from Images, please help me.
Thank you in advance,
Regards
You need to do feature extraction first. There are many methods that are available. These include LBP,Gabor and many more.. These methods will help you get the features to input into libsvm..Hope this helps...
I want to learn the cs-cart file structure.
I want to make changes to the admin side functionality, can you guide me to where can I read the file structure and the functionality of files.
Any help would be appreciated.
thanks a lot in advance.
Have a look in /skins/your_skin/admin/common_templates to find templates.
If you know what you want to change e.g. last viewed items, do a global search for last_viewed_items.tpl and you'll find it is used in \shop\controllers\admin\tools.php and a number of other places.
You are just going to have to keep digging and if it were me, I would draw some sort of flow chart as I went.
Of course, once you have discovered how it all pieces together you are going to post your results here for others to discover...right?
I have a list of airport names and my users have the possibility to enter one airport name to select it for futher processing.
How would you handle misspelled names and present a list of suggestions?
Look up Levenshtein distances to match a correct name against a given user input.
http://norvig.com/spell-correct.html
does something like levenshtein but, because he doesnt go all the way, its more efficient
Employ spell check in your code. The list of words should contain only correct spellings of airports.
This is not a great way to do this. You should either go for a control that provides auto complete option or a drop down as someone else suggested.
Use AJAX if your technology supports.
I know its not what you asked, but if this is an application where getting the right airport is important (e.g. booking tickets) then you might want to have a confirmation stage to make sure you have the right one. There have been cases of people getting tickets for the wrong Sydney, for instance.
It may be better to let the user select from the list of airport names instead of letting them type in their own. No mistakes can be made that way.
While it won't help right away, you could keep track of typos, and see which name they finally enter when a correct name is entered. That way you can track most common typos, and offer the best options.
Adding to Kevin's suggestion, it might be a best of both worlds if you use an input box with javascript autocomplete. such as jquery autocomplete
edit: danish beat me :(
There may be an existing spell-check library you can use. The code to do this sort of thing well is non-trivial. If you do want to write this yourself, you might want to look at dictionary trie's.
One method that may work is to just generate a huge list of possible error words and their corrections (here's an implementation in Python), which you could cache for greater performance.