gis_power_Django_project

Utilizing the geographic information system(GIS) in an electrical power distribution network by incorporating a geographical context in transformer distribution assets data and use of web interface display to illustrate the dynamic loading of power distribution in Nairobi South area. Involved creation of a web interface that allows a user to build a dynamic system of power distribution assets; substations, transformers and power lines. The system stores the information for future planning and analysis such as load on a particular transformer. Using Django platform(a python web framework), QGIS and PostgreSQL, the data in the system was laid on the existing map of Kenya. Online mapping and access of the electrical distribution network on a web map help in planning for new installations and expansions, maintenance and easy update and retrieval of records. Users can easily access the power distribution network assets information and client information using their internet- connected computers or mobile phones. The system is capable of restriction of the data available to different users, for instance, data accessible by the Engineer is not accessible by the technician.

NBAlgorithm_eco_dispatch_HVDC_Matlab

Novel Bat Algorithm | Matlab project on Economic Dispatch Using HVDC

Deep-Machine-Learning-for-Age-and-Gender-Prediction

Deep learning belongs to Machine Learning Which Belongs to Artificial Intelligence. This project involves using Convolution Neural Network, in Matlab Deep Learning Toolbox, to built and train the CNN for predicting age and gender from an individual's image

pure_sine_wave_inverter_NIMultisim

DC/AC Pure Sine Wave Inverter Designed using National Instruments Multisim. Efficiently transform a DC power source to a high voltage AC source, similar to power that would be available at an electrical wall outlet.