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Tic Tac Toe
Optimizing Lebedev Quadrature Points Sorting on a Sphere
Seven students selected the project! We hope you all enjoyed tackling the traveling salesman problem with a real-world application. Each participant was rewarded for their hard work with unique MATLAB merchandise. But only one could win. The winners were
We want to thank all participants and wish them a traveling salesman's optimal path toward success!
Can you crack Vigenère cipher?
Eleven students chose the project! We hope you all enjoyed implementing the cracking algorithm. However, only four winners were rewarded for their hard work with unique MATLAB merchandise. In the CZ group, the winners were
while in the EN group, the winners were
We thank all the participants for their involvement and wish them resounding success!
S&P 500 Chart
The project was chosen by only two students, who fulfilled the required assignment exactly. As a reward for their hard work, let them be honored with unique MATLAB merchandise:
We thank both competitors for their participation and wish them success in their future endeavors!
Finite Difference in Time Domain Method
Finite-Difference Time-Domain Method
The competition was not held due to anti-epidemic measures.
Simulation of doors' opening
Nine students took part in the competition who completed the assignment. The final ranking was decided by other criteria, such as the level of the user interface, the style and quality of the code, the commented functions, etc. The podium positions are as follows:
Clustering of n-Cube
Direct visibility of triangular mesh elements
The project was chosen only by Miss Žigajkova, who exactly fulfilled the required assignment. As a reward for her courage, let her be honored in the first place and a MATLAB license and other promotional items from Humusoft.
Estimation of robot motion using Bayesian filtering
Estimation of robot motion using Kalman filtering
Twelve students selected the project and five of them successfully submitted it in a form suitable for testing. The task was to estimate the position of the robot as accurately as possible using Kalman filtering based on the supplied data from the sensors. The evaluation criterion in the competition was the mean square deviation of the predicted position from the actual position of the robot. The final order of the competitors was as follows (in the photo from the second to the fourth place from the left, on the far right the project leader Mr. Karásek):
We thank all the competitors for their participation and wish them many more successes!
Finding the longest cycles in a graph
Surprisingly, the project was chosen by a single student this semester (probably due to a complex assignment).
Winner:
Congratulations to Mr. Kubíček and thank you for processing the task. We will prepare something for next semester that will hopefully interest more colleagues …
Reconstruction of the Super 8mm film recording
The project was chosen by a total of 5 competitors and successfully submitted by 4 of them. During the semester, we gradually came to the trickery of the solution and therefore we proceeded to slightly reduce the requirements for submitted projects. First of all, it turned out that it is practically impossible to achieve 100% success in identifying blurred and static video frames with respect to the quality of input video files, and that algorithms can work differently depending on the video, depending on its technical quality, recording contrast, grain size., etc. The evaluation took place on videos that the competitors chose themselves and the beginning of the time period of the analysis as well. The length of the analyzed section was always 10 s and the error rate of identification was allowed a maximum of 10%. The overall evaluation took into account both the speed of the code and its error rate. Rendering speeds ranged from 0.122 to 0.643 s / frame.
Final ranking (on the pictur from left):
We thank all the competitors for participating in the competition and wish them many more successes!
Finding the minimum surface using the Jacobi method
Over 10 competitors entered the competition. The project was presented by 6 of them who similarly approached the problem, while minor differences were caused mainly by the code's technical processing. Like the previous semester, the criteria were a) correctness of the result, b) speed of calculation, c) university of the code. Criteria a), c) were binary criteria (tested on prepared examples), competition criterion was b). In the end, a larger grid was used for the actual measurements. Once again, they competed for prizes provided by Humusoft and the Department of Electromagnetic Fields - including 3 Matlab student licenses, as well as three training vouchers of their choice.
The resulting measurement for the grid 100×100:
Effective display of the parametric area
Almost 10 competitors entered the competition. Everyone had the possibility to change the project to another topic during the semester, which in the end, some competitors did. The main prize of the competition was a voucher for an all-day seminar by Humusoft. The criteria determining the winner were a) correctness of the result, b) speed of calculation.
The committee, made up of teachers, then decided on the first steps as follows:
The prizes for the competition were donated by:
Thank you!!