Interior Point Method for Optimal Real-Time Electricity Pricing
Optimal real-time electricity pricing based on interior point method, primarily utilizing a 14-node power system model
Newton-Raphson Method Power Flow Calculation
Newton-Raphson power flow calculation program validated on 40-node system, includes reference results and typical system descriptions with comprehensive documentation
Enhanced Newton-Raphson Method for Solving Three-Phase Unbalanced Distribution Networks
An improved Newton-Raphson method designed for solving three-phase unbalanced distribution networks, adaptable to various node configurations with detailed implementation considerations
Removal of Spurious Branches in Venous Networks
Building upon vein skeletonization, this process identifies bifurcation points and nodes to eliminate spurious branches in venous structures through morphological analysis and connectivity assessment.
Implementation and Comparative Analysis of Three Interpolation Methods: Lagrange, Piecewise Linear, and Cubic Spline
MATLAB implementation of three interpolation methods - Lagrange, piecewise linear, and cubic spline - with analysis of results under varying node configurations
Trilateration Method for Calculating Unknown Node Coordinates
This program first employs the log-normal shadowing model in RSSI for distance measurement, then utilizes trilateration to compute the coordinates of unknown nodes.
MATLAB Implementation of Dynamic Programming Algorithm
This code implements a dynamic programming algorithm that finds an optimal path and identifies corresponding nodes. The implementation demonstrates key DP concepts including memoization, state transitions, and optimal substructure properties.
Energy-Efficient Wireless Sensor Network Deployment
Energy-efficient wireless sensor network deployment abstracts the node placement problem as a circle coverage problem, typically implemented using optimization algorithms like genetic algorithms or particle swarm optimization to maximize coverage while minimizing energy consumption.
Solving Power System Optimization Problems Using Standard Genetic Algorithm
Application of standard genetic algorithm to solve large-scale power system optimization problems with 40-node network configuration
Beamforming in Cognitive Radio Systems
MATLAB implementation for beamforming techniques in cognitive radio networks, featuring dynamic adjustment of antenna transmission power and radiation angles based on node positions within network topologies. This codebase originates from a doctoral dissertation, providing practical algorithms for spatial signal processing in dynamic spectrum access scenarios.