236 skills found · Page 4 of 8
meghapsimatrix / SimhelpersHelper package to assist in running simulation studies
michaelk99 / SKY130 CT DSMA case study of a continuous-time Delta-Sigma modulator including system-level simulations/design of the CT-DSM, circuit-design of the front-end Gm-cell and a mixed-signal simulation w/ Ngspice.
High-Performation-Computing-Group / Pseudo Spectral MethodThis repository is a guided tutorial on Pseudo-Spectral method that in long run can help as a basis for study material on Direct Numerical Simulation. The aim is to teach about solving any physics problem numerically.
matheuslosilva / Hardware Accelerated Ant Colony Based Swarm SystemThe proposal of this work involves a simulation of an ant colony swarm that was applied to a problem of search and rescue of objects of interest. An evolutionary algorithm was implemented to optimize the ant swarm parameters in order to improve performance on the colony goal. Hardware acceleration in CUDA and OpenGL provides the system with the ability to simulate a large number of agents simultaneously, in order to study the relevance of swarm size in the performance of a task objective.
david-mateo / Swarming SppA C++ library for simulations of self-propelled particles and the theoretical study of emergent swarming behaviors.
TomWebster98 / Motorsport Engineering NotesA repository for my Motorsport engineering study notes. These notes will include theory on topics such as vehicle dynamics, aerodynamics and race strategy simulation.
mariaokounkova / BeyondGRAnalysisCode for the study "Gravitational wave inference on a numerical-relativity simulation of a black hole merger beyond general relativity"
MakisH / Openfoam Bubble ColumnA bubble column study in OpenFOAM. Final project for the TUM course "Simulation of Thermo-fluid dynamics with open source means", SS2016.
PRAISELab-PicusLab / LLM Agents Simulation Framework🤖 A simulation framework designed to study complex social dynamics using generative agents powered by Large Language Models.
esa / LADDSLarge-scale Deterministic Debris Simulation - Codebase for the ARIADNA Study between TU Munich and ESA's Advanced Concepts Team.
cadet / CADET VerificationExtensive tests suite, including order-of-convergence, high-precision reference solutions, and case studies to verify the CADET simulation engine(s).
gagocarrilloedgar / Burgers1D SolverThis report is developed with the purpose of giving the student a better understanding of what is turbulence modelling and its analysis. A brief introduction about the Burger's equation and the theories behind the models used later on the report. The study consist in the analysis of the Burger's equation in the Fourier space analysing the behaviour of the total energy as a function of the Reynolds Number [Re], the number of modes [N] and finally the effect of these two on the number of iterations of the model. Finally a comparison between LES [Large Eddy Simulation] and DNS [Direct Numerical Simulation] is made in order to analysis when the increase in computational cost is necessary.
chaouachi / SmartGridThis project aims to study a key feature of the Smart Grid as power systems of tomorrow. This feature is the transversal study between the Transmission system simulation and those of the Distribution System. Some prefer to call it as T&D co-simulation. More specifically, this project is about T&D Optimal Power Flow optimization with a consideration of the battery storage technology in the distribution level. The problem is modeled as a Mixed Integer Non Linear program that is resolved in a distributed fashion each minute to insure a safe and optimal operation of lare and dense power systems.
GKantidakis / Simulations SNNs Vs CoxThis repository stores the R-code of a simulation study to compare survival neural networks (SNNs) with Cox models for clinical trial data. The predictive performance of ML techniques is compared with statistical models in a simple clinical setting (small/moderate sample size, small number of predictors) with Monte Carlo simulations. Synthetic data (250 or 1000 patients) are generated that closely resemble 5 prognostic factors pre-selected based on a European Osteosarcoma Intergroup study (MRC BO06/EORTC 80931). Comparison is performed between two partial logistic artificial neural networks (PLANN original by Biganzoli et al. 1998, Statistics in medicine, 17(10), 1169-1186 and PLANN extended by Kantidakis et al. 2020 BMC medical research methodology, 20(1), 1-14) as well as Cox models for 20, 40, 61, and 80% censoring. Survival times are generated from a log-normal distribution. Models are contrasted in terms of C-index, Brier score at 0-5 years, Integrated Brier Score (IBS) at 5 years, and miscalibration at 2 and 5 years. Endpoint of interest is overall survival. Note: PLANN original/extended are tuned based on IBS at 5 years and C-index.
ElasriAyoub / ECG Signal Processing LabView ArduinoThe objective of this study is to produce a similator that is used to simulate an ECG signal through data recorded from a person through the combination of Arduino and LabView. This Application will be used to analyze the heart condition of a person without having to transport it to a hospital (minimal cost). In addition to this simulation, the application will analyze the condition of this person and alert us by a buzzer during the passage of this ECG signal.
ahmedyounis1st / IDS Feature Selection Based On GWO AlgorithmOne critical issue within network security refers to intrusion detection. The nature of intrusion attempts appears to be nonlinear, wherein the network traffic performance is unpredictable, and the problematic space features are numerous. These make intrusion detection systems (IDSs) a challenge within the research arena. Hence, selecting the essential aspects for intrusion detection is crucial in information security and with that, this study identified the related features in building a computationally efficient and effective intrusion system. Accordingly, a modified feature selection (FS) algorithm called modified binary grey wolf optimisation (MBGWO) is proposed in this study. The proposed algorithm is based on binary grey wolf optimisation to boost the performance of IDS. The new FS algorithm selected an optimal number of features. In order to evaluate the proposed algorithm, the benchmark of NSL-KDD network intrusion, which was modified from 99-data set KDD cup to assess issues linked with IDS, had been applied in this study. Additionally, the support vector machine was employed to classify the data set effectively. The proposed FS and classification algorithms enhanced the performance of the IDS in detecting attacks. The simulation outcomes portrayed that the proposed algorithm enhanced the accuracy of intrusion detection and reduction in the number of features.
Geetima2021 / CMOS Circuit Design And SPICE Simulation Using SKY130 TechnologyUnderstanding CMOS circuit design and spice simulation is the root of a VLSI beginner . Here the detail study and spice implemantation of the CMOS inverter by VLSI system design is jotted down.
Footonthegas / Solidworks LearningA comprehensive portfolio of mechanical parts, assemblies, and simulations developed during my engineering studies.
Edric-Matwiejew / QSW MPIQSW_MPI is a python package developed for MPI-parallelised time-series simulation of continuous-time quantum stochastic walks. This model allows for the study of Markovian open quantum systems in the Lindblad formalism, including a generalization of the continuous-time random walk and continuous-time quantum walk.
Ogunfool / ConditionBasedMaintenancePlanner RLApproachIt contains a python-based survival analysis model to study the lifetime of machines in a 3-unit flowline production system, The simulation environment to be used with the RL algorithm for maintenance planning, Q-learning algorithm based maintenance policy, corrective and preventive maintenance policy simulations for comparison.
