Ongoing ArKanjo Contributions
FLOSS Discipline 2nd Phase The Linux Kernel Development posts were relative to the first phase of the FLOSS discipline, as stated in the first diary. After finishing the contribution on vcnl4000....
FLOSS Discipline 2nd Phase The Linux Kernel Development posts were relative to the first phase of the FLOSS discipline, as stated in the first diary. After finishing the contribution on vcnl4000....
This is the last entry of the vcnl4000.c patch. There were, at the end, 6 versions of the patch before its acceptance. Requested changes by Jonathan After the LGTM from Andy, Jonathan requested ...
In this diary, I will describe the selection of the file Kim Kakeya and I altered and modifications untill the LGTM. There were 3 versions of the patch. Task and File Selection FLUSP has given us...
Seventh Tutorial The seventh tutorial of the FLUSP introduction to FLOSS Developments revolves around the simple dummy driver present in the iio tree. Withouth practical exercises, it does what it ...
Fifth and Sixth Tutorials These two tutorials took place on 03/25, comprising how to send patches to the Linux Kernel via email (the official way to do so) using kw and git-email. The fifth was a r...
Third Tutorial For the third entry of this series of posts, the tutorial is named “Introduction to Linux kernel build configuration and modules”. Again, the name is self-explainable. Briefly, we cr...
Second Tutorial This diary refers to the second FLUSP’s tutorial on Linux Kernel development basics. Entitled “Building and booting a custom Linux kernel for ARM using kw”, it is possible to infer ...
MAC0470 Discipline The posts under the category “linux-kernel” will, probably all, refer to the MAC0470 discipline of 2026-1 (IME-USP). This discipline comprises contributing to FLOSS software, inc...
After testing the EEGNet performance on THINGS-EEG for end-to-end semantic decoding, I approached the task and dataset with classical ML algorithms, such as KNN, MDM and SVM. Clearly, this approach...
This post will summarize the results achieved using variable number of subjects and different parameters on EEGNet on THINGS-EEG dataset. Here, we will show how increasing the amount of data change...