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In the frame of my PhD thesis, I'm running a quick survey on the usage of Twitter and other real-time microblogging platforms, and its impact on productivity. In order for this survey to be representative, I need a few hundreds of answers.
Can you please fill it and send it to your friends and colleagues who use Twitter?
Here is the link to the survey, it should take you less than 10 minutes to complete: http://bit.ly/9GxXiU
I'am interested in literature / research, which deal (capabilities, advantages, disatvantages) with the use of graphical models for operational tasks, which are traditional are executed with charts and schedules. For instance workforce assignment via drag and drop in a graphic model instead of filling out a table.
I would be very thankful, if you could share your knowledge in that issue-area, give some literature hints or name the right keywords to search. Thank you!
We sent H.264 on the LAN using VLC and got link usage about 50% to >100% more than the video rate set in the application. Based on headers of RTP, UDP, IP and Ethernet, the difference should be only several percent. Why is the measured usage so much more? Also, our values were measured with Wireshark.
For my thesis, I am measuring the usage of ad blockers among my respondents. I am wondering what the best way is to measure this.
I was thinking about a Likert scale (Stronlgy agree - Strongly disagree) with the following items:
- Whenever I use the internet on a laptop and/or desktop computer, I use an ad-blocker
- Whenever I use the internet on a smartphone, I use an ad blocker
- Whenever I use the internet on a tablet, I use an ad blocker
The advantage here would be that I can use the Mean to divide the group into two categories (low vs. high)
Nonetheless people that don't use a tablet, are forced to still answer the item. If I add a 'N/A' category I am afraid people will misinterpret it. Also, I am not sure how this would go with the analysis in SPSS. Would I still be able to divide the group into two?
Another option is using multiple choice answer categories:
Please select the devices on which you use an ad blocker
- [ ] Desktop computer
- [ ] Laptop
- [ ] Smartphone
- [ ] Tablet
My general population are students, and I do know that 98% have a smartphone and 96% have a laptop. Could I therefore also make the ownership of these two device types an inclusion criteria?
Please let me know your thought on what you deem the best solution.
In the presence of enough real data to train a system, can synthetic data yield similar or better results (assuming that it is as descriptive as the "real data") ? Is there any research on that?
This paper proposes some ideas: https://arxiv.org/abs/1505.05641
I am trying to find statistics related to game controllers and how many PC users are using it, what type of game genres they play, how many buttons do their devices have, how many axes, how much they would spend for a game controller, what do they expect from a game controller, etc.
We recently got access to a NextEngine 3D Scanner HD and are still learning but it would be nice to have some tips on the use of this technology.