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I am working on a Graduation Project and wondering if anyone can help me with: Benchmark data to load and test on my application.
We are willing to compare between different designs and implementations of different database management systems, and I thought we shall use a standard data set for this task.
Is there any? and if yes, would you kindly show me where to find some, and if there are measures to consider, that would be really helpful.
Thanks in advance.
There are many standard benchmarks. The most famous are the TPC Benchmarks:
http://www.tpc.org/information/benchmarks.asp
Moreover, some researchers publish specific benchmarks. For example, O'Neil et al. avec proposed the Star Schema Benchmark. You need a small and free program to generate the data.
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I am using Node.js...
Personally, I'm not a fan of SQL. What I do like is JSON, and I would like to be able to store my server data as JSON.
Even though it's possible to just JSON.parse and .stringify the process, I get the impression that doing this is a bad idea for large-scale applications.
Also, it would be nice if the database library could be just a library, and not a server like with MySQL.
Any suggestions on where to find said library would be much appreciated.
Availability of said library on NPM would be brilliant.
I use low db befor for small nodejs projects. Its easy to use. See documentation.
Have fun.
https://www.npmjs.com/package/lowdb
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i have open source project done in c++ , it is big and has no documentation
now to "only" to debug it and understand its flow it is possible but very hard.
im looking for well define methods and ways of work , to make this process easier.
like some kind of tools that can help me to draw the objects and class's relationship.
UPDATE
well after digging some more , i know the proper name for this is :
Sequence Diagrams , so i looking how to get Sequence Diagrams out of c++ code
it have to be free tools
here you can find your answer, System Sequence Diagram maybe helps you. if answer not enough tell me to say more details :)
http://www.devcurry.com/2010/03/generate-sequence-diagrams-in-visual.html
and also this link is useful too:
http://weblogs.asp.net/gunnarpeipman/archive/2009/11/20/visual-studio-2010-generating-sequence-diagrams-on-the-fly.aspx
Understand for C++ from Scientific Toolworks has a good reputation. I have no specific experience with it.
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Has anybody seen a resource covering specifically the use of machine vision for locating a human in a room, including cases where they may be partially obscured? I know about OpenCV and other machine vision packages, but I'm looking for a paper/library/code example that focuses solidly on identifying a human in a room; something that is readily integrated into code rather than being a rough idea that would require weeks or months of tweaking or enhancing to do a reasonable job of succeeding at the task. I'd prefer something that does not require binocular vision and can work with a single camera.
First: you should read this about human detection. Then you can find/use opencv code implementing the training step of this kind of detector. You will need to access to a database for training like INRIA Person dataset.
Second: if you need to handle partial obstruction, you may need to implement a human body tracker that can handle this problem. Particle filter could do the work.
If you have problems with implementation feel free to ask more specific questions.
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I have been running around here and there on NoSQL big data storage technologies. The greatest hurdle I have found so far is a good visualization tool. With out that, it seems so hard to understand how data is being kept in the storage. This would be a generalized question but I would need to know which NoSQL storage technologies either comes with a visualization tool or an open source contribution that has been proven to be great. The tool shows nodes,database tables and entries as well.
I hope people who have experience against would share their hard earned knowledge.
Thank you for the guidance.
Have you tried Neo4j. It has got visualization tool developed on top of eclipse code base.
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Good evening,
I'm working on a project with Kinect and I need to perform a gender-recognition using the voice information caught by the microphone of the sensor.
The recognition could also be text-based, i.e. the sentence said by the user could always be the same. I "just" need the binary answer male/female.
I've checked the quite popular open-source Sphinx but I can't understand if it could be used for my needs.
Any idea of what I could use?
Thanks in advance.
For sake of completeness, finally I solved the recognition task without analyzing the voice input.
Gender can be detected with an acceptable precision also by learning and then classifying visual biometric traits. I used speech recognition only as "interface" to activate the demo.
There are several ways to achieve this. You can track pitch (lower pitch values will be male, otherwise female). Or try to build a GMM (Sphinx cannot do this, but HTK can), with one model for male, other for female and another to children.