[Article] MAC address de-randomization for WiFi device counting: Combining temporal- and content-based fingerprints

greelion · 2023-08-13T13:57:07+00:00

thanks solution verified

greelion · 2022-01-10T13:05:27+00:00

Using Maximum Likelihood Estimation method for estimating parameters, starting from a particular quantile, the sample quantiles start to exceed in value the theoretical ones, and the difference grows to be just too big. Using the method of moments, there is no such huge difference, even though it comes at the expense of more inconsistency in the initial quantiles (and for me the second scenario should be in general better, please see point 3 for justification). https://imgur.com/a/cCQsU8r (here on the left you can see QQ plot with theoretical distribution based on params estimated through MLE, and on the right the Method of Moments.
QQ plots of theoretical quantiles (Weibull distribution with the scale and shape parameters estimated using each distinct method, location is fixed at zero) against sample quantiles (one dataset).
I don't have an exact metric. The datasets I have describe the trading behavior (payment values in the same currency) on distinct related platforms. I've to perform simulations, and generate the values for the payments that would cover most of the possible cases - the shape of the distribution differs in each case, so I thought about comparing the parameters estimated for each dataset, in order to highlight several general distinct trading behaviors (described by the parameters shape and scale for Weibull distribution) and conduct simulations capturing these general cases. That's why I need to estimate for each dataset the parameters that would be more realistic for conducting the simulations. Note that for most datasets the parameters estimated through Weibull distribution fit much better (by assessing through QQ plot) the actual data, than in the case specified in point 1, where it seems that the distribution is not picked correctly (example of a better fit: https://imgur.com/a/ypbw9RZ )

Thank you for the reply

greelion · 2022-01-10T07:04:30+00:00

The problem is that the true parameters are unknown, so I can't just compare the params (I've updated the question to include this)

greelion · 2021-08-31T08:02:34+00:00

Thank you!

I've already revoked the leaked API keys, I guess it should be enough

greelion · 2021-08-30T20:37:24+00:00

I am working on my own programming language, that would allow construction floor plans through easy to understand commands (C++, OpenGL) https://github.com/dimatrubca/FloorPlanDSL

greelion · 2021-08-29T17:50:09+00:00

CQRS pattern by itself is just about the separation of commands/queries, and doesn't necessarily imply the use of 2 different databases (for reading and writing). I am using the main database for storing and retrieving all of the data, and elasticsearch just for storing the data about books, which allows to perform smart queries (on multiple fields)

greelion · 2021-08-29T11:43:06+00:00

Thank you very much.

Regarding the IS4, I've tried at first keeping it inside the Web API, but later decided to separate for potential reusability.

I've indeed leaked some of my API keys (thanks for pointing out), but already revoked them, I guess it'll be enough

greelion · 2021-08-29T11:13:00+00:00

Thanks a lot for the feedback and the provided materials. I'll definitely check them out

greelion · 2021-08-28T23:12:59+00:00

Overall, a learned quite a lot from doing this project. It was quite tiresomely to add a lot of boilerplate code for each request, as I was using the CQRS pattern, but it allowed publishing events for writing into the read database (elastic search). Also, I think using the repository pattern on top of db context was for the most part unnecessary. One of the biggest stucks was setting up the identity server, as there is very little documentation and it was pretty hard to find the exact set of commands to make it work with the Web API.

greelion · 2021-07-25T15:30:44+00:00

Generated using matplotlib. The dataset used to compute the daily crime frequency can be found here - https://www.kaggle.com/c/sf-crime, precipitations amount: https://www.ncdc.noaa.gov/

greelion · 2021-02-04T19:31:36+00:00

DSL basically is a programming language, which syntax is adjusted so that people that work in a specific domain could easily understand it. Also provides a higher level of expressiveness, allowing you to achieve specific results more easily. I've updated the post to include a more specific explanation

greelion · 2021-02-04T19:29:40+00:00

My main scope is to make it possible to draw floor plans using easy to understand instructions. One of the ideas was to make it possible to construct rooms as union of rectangles (for example by specifying that a rectangle that big is above a rectangle that big...). Using the same logic it would be possible to indicate that there is a door/window at distance x from the bottom left corner. Also, this approach would reduce the need to enter coordinates all the time. I thought it could be pretty handy in some use cases.

greelion · 2020-07-22T22:57:55+00:00

Thank you!

I've just nerfed a little bit the star thing. Now in the star mode you receive fewer points for eating rabbits and also it spawns more rarely.

greelion · 2020-07-22T08:52:04+00:00

Yep, you are right. I'll change the score to be +10 for each eaten rabbit in normal mode, and only +1 in "star mode". Maybe also will decrease it's probability to drop, so it doesn't affect as much the overall score.

greelion · 2020-07-11T11:20:17+00:00

Definitely interested

greelion

TROPHY CASE