I'm sorry for my mistake grammar and e.t.c in my question ,because English is not my first language!!
But my question:
I want digital signature sms and send it to another ,this means that digital signature to an sms and send it to another and retrieved it from other device.
This is essential.
please give me a solution for do this .
thanks anybody.
where I study about digital signature, and how to use it?
Wikipedia looks like a good starting point: http://en.wikipedia.org/wiki/Digital_signature
Consider using this :-
http://www.ibm.com/developerworks/wireless/library/wi-extendj2me/
http://snippets.dzone.com/posts/show/5115
For Sending/Receiving the sms
Related
I am designing a delivery app, where the delivery boy has to handle more than 1 process(Going for delivery destinations), so I need to find the best route for
him from the source and round trip is not required .
Thanks in Advance
You can easily find many node-module implementations:
node-tspsolver (link)
algotithmbox (link)
genetic (link)
above options seems does not work for me for some reason. i end up using code here, it works in my cases. thanks.
https://github.com/lovasoa/salesman.js
I have an online assessment platform, and I am trying to auto-grade math questions. The student will enter the question through our MathQuill interface that is working nicely. (for both desktop and tablets)
However, I am running into issues figuring out how to "evaluate" MathQuill or MathJax server side. And I want to do this because lets say the correct answer is 1/2, but the student can enter 2/4, 3/6, 4/8, etc... And all those answers will evaluate to the correct answer.
Does anyone know of a way to do this server side? Is there a service(API) that I can call that will help me with this?
Finally, I hope this is the right place to ask this question.
Thanks.
There really aren't any easy answers.
Some things people do:
Desmos wrote a custom LaTeX parser and evaluator
SwiftCalcs wrote a custom LaTeX parser to convert to the string format expected by the Giac computer algebra system, which they to JS with Emscripten
This MathQuill community member has been trying to use the Wolfram|Alpha API
in the past, I've massaged the .text() output from MathQuill into something usable by SymPy or Math.js
I use the Lotus Notes NotesMIMEEntity to parse and convert emails. NotesMIMEEntity has a property "Encoding" which should give me the encoding of the current message.
Normally this works well, but for some message I get the (valid) result "none" or 1725.
Is there a default encoding I can use for decoding such messages such as quoted-printable? How can I determine in which format the message is in.
I tried the relavant RFCs but was unable to get any clear information. Another question here is doing an heuristic approach, is this really necessary?
Help is really appreciated.
If it's coming back with ENC_NONE (1725), that would suggest that the sending software omitted the Content-Transfer-Encoding header, or screwed it up in some way that made it unreadable.
Given that, you either have to assume it's not encoded at all, or you have to assume that the sending side might really have encoded it after all but forgotten to set the header. In the latter case, you might want to try to guess what econding it is -- i.e., the heuristic approach. Is that scenario really likely for the messages you're dealing with? I can't answer that for you. I also can't answer whether it's even really necessary for you to know the encoding. It depends on what your requirements are and what you're trying to do with the data. (E.g., if the requirement is that your Lotus Notes user must see it exactly how someone else who wasn't using Lotus Notes saw the message, the problem is that what someone else saw will depend on what assumptions the software they were using made! You can't really know!)
Frankly, I would just go with the former interpretation unless someone specifically showed me a message that was encoded but which had a bad Content-transfer-encoding header, and also managed to come up with a rational reason why the software should try to fix a message that was broken on the sending side.
BTW: bear in mind that 7bit, 8bit and binary all mean that the data is not encoded. The difference between them is just a 'hint' to the receiving system that if the data is re-transmitted via a different method, it might need to be encoded. In all of these cases, however, the right thing to do with data is to copy it without applying any transformation (unless of course you receive 8bit data but you're running in a 7 bit environment).
For normal SMTP, 7bit would be the default Content-Transfer-Encoding.
Specifically, to encode quoted-printable to 8bit you may use this PHP function:
string quoted_printable_decode ( string $str )
I was doing an app that reads qrcodes, and I was wondering how can I avoid that anyone with a qrcode generator could clone one of my qrcode.
I know I can't avoid the duplication (especially if you use a small number) but I was wondering if there is any approach I could use to reduce this or add an app validation to avoid this.
Thanks in advance
Either use a one-time-use id where the first person to access your URL wins, or just accept it as free advertising. If you really wanted to go to the trouble I guess you could probably print a watermark that obscures the code so it is unreadable, somewhat like the security features most checks have, but this really sounds like an XY problem.
Think about the problem you're really trying to solve and how so solve it. QR codes themselves are just as reproducible as emailing someone a link or giving someone a piece of paper with a word on it.
I am working on a project where biometric system is used to secure the system. We are planning to use human voice to secure the system.
Idea is to allow the person to say some words or sentences and system will store that voice in digital format. Next time person wants to enter the system, he/she has to speak some words which may or may not be different from the words used earlier.
We don't want to match words but want to match voice frequency.
I have read some research papers regarding this system but those papers don't have any implementation details.
So just want to know whether there is any software/API which can convert analog voice into digital format and will also tell us the frequency of voice.
Until now I was working on normal web based applications so I know normal APIs and platforms like Java EE, C#, etc but I don't have any experience about this kind of application.
Please enlighten !!!
http://www.loquendo.com/en/products/speaker-verification/
http://www.nuance.com/for-business/by-solution/contact-center-customer-care/cccc-solutions-services/verifier/index.htm
(two links removed due to reported virus content)
http://www.persay.com/products.asp
This is as good a starting point as any : http://marsyas.info/
It's a open source software framework for audio processing. They've listed a bunch of projects that have used their framework in various ways so you could probably draw inspiration from it.
http://marsyas.info/about/projects. The Telligence project in particular seems the closest to your needs as it it was used to gender classify audio : http://marsyas.info/about/projects#5Teligence
There are two steps on a project like this one I believe:
First step would be to record the voice from an analog input into digital format (let's assume wav-pcm). For this you can use DirectShow API in C#, or standard Wav-In as in this project: http://www.codeproject.com/KB/audio-video/cswavrec.aspx. You may consider compressing your audio files later on, there are many options for this, in Windows you may consider Windows Media Format SDK to avoid licensing issues with other formats.
Second step is to build or use a voice recognition framework, if you want to build a recognition framework you will probably need to define a set of "features" for your sound fragments and select+implement a recognition algorithm. There are many aproaches available for this, IEEE amd ACM.org websties are usually good sources. If you want to use an existing framework you may want to consider Nuance Recognizer (commercial) or http://cmusphinx.sourceforge.net (open source).
Hope this helps.