Pinned Repositories
Ant-Colony-Optimization-for-Path-Planning-using-Rule-based-in-Dynamic-and-Complex-Environment
In this project, a new ACO algorithm is proposed which ensures to solve the problems encountered in traditional ACO algorithms. This algorithm was tested on number of environments to examine efficiency, error margin and count computational time. The results ensured that the proposed ACO algorithm is completely efficient in small-scale environments and remarkably similar results were observed on testing it on the bigger-scale environment. The evaluations prove that the Ant Colony Optimization algorithm for path planning can provide rapid path planning with acceptable results and for future development can be integrated with the robot system to test in the real world scenarios.
Automation-with-Ansible
Cisco-Packet-Tracer-Labs
Practical Networking labs (scenarios) implemented on Cisco Packet Tracer software.
Development-of-IoT-Smart-Home-for-Fitness-Training
In this project a Java Web-Application was built to simulate the working of IoT environment in Fitness. It comprises of IoT Gateway, IoT Devices (Sensors and Actuators) and Web platform. IoT Gateway handles the requests and responses from IoT devices using CoAP (Constrained Application Protocol) and from Web application using HTTP protocol, different protocols are utilized for communication between different interfaces with different data encoding schemes (XML and JSON). Technologies used are HTTP and CoAP protocols, JSON and XML encoding schemes, Java Spring-Boot framework, HTML5, CSS, JavaScript and Bootstrap.
Image-Processing-Project
This project was developed to remove the noise from the digital images. Experimental results showed the superior performance of Gaussian and Mean filter algorithm in .NET Core. This method removes Gaussian noise and the edges are better preserved with less computational complexity and integrating library with Learning API.
Implementation-of-virtual-Cellular-Networks
The project focused on the virtual implementation of a cellular networks 4G and 5G on a cloud platform, utilizing various software packages for the Core Network, RAN and UE.
Software-Defined-Networking
Practical labs of Software-defined Networking
Software-Defined-Networking-with-ONOS
The aim of this thesis was to study the functionalities of software-defined networks and practically develop the real-world resembling environment in the network emulator environment (GNS3) to evaluate the performance of different SDN components.
harshal-vaze's Repositories
harshal-vaze/Development-of-IoT-Smart-Home-for-Fitness-Training
In this project a Java Web-Application was built to simulate the working of IoT environment in Fitness. It comprises of IoT Gateway, IoT Devices (Sensors and Actuators) and Web platform. IoT Gateway handles the requests and responses from IoT devices using CoAP (Constrained Application Protocol) and from Web application using HTTP protocol, different protocols are utilized for communication between different interfaces with different data encoding schemes (XML and JSON). Technologies used are HTTP and CoAP protocols, JSON and XML encoding schemes, Java Spring-Boot framework, HTML5, CSS, JavaScript and Bootstrap.
harshal-vaze/Cisco-Packet-Tracer-Labs
Practical Networking labs (scenarios) implemented on Cisco Packet Tracer software.
harshal-vaze/Implementation-of-virtual-Cellular-Networks
The project focused on the virtual implementation of a cellular networks 4G and 5G on a cloud platform, utilizing various software packages for the Core Network, RAN and UE.
harshal-vaze/Software-Defined-Networking
Practical labs of Software-defined Networking
harshal-vaze/Software-Defined-Networking-with-ONOS
The aim of this thesis was to study the functionalities of software-defined networks and practically develop the real-world resembling environment in the network emulator environment (GNS3) to evaluate the performance of different SDN components.
harshal-vaze/Ant-Colony-Optimization-for-Path-Planning-using-Rule-based-in-Dynamic-and-Complex-Environment
In this project, a new ACO algorithm is proposed which ensures to solve the problems encountered in traditional ACO algorithms. This algorithm was tested on number of environments to examine efficiency, error margin and count computational time. The results ensured that the proposed ACO algorithm is completely efficient in small-scale environments and remarkably similar results were observed on testing it on the bigger-scale environment. The evaluations prove that the Ant Colony Optimization algorithm for path planning can provide rapid path planning with acceptable results and for future development can be integrated with the robot system to test in the real world scenarios.
harshal-vaze/Automation-with-Ansible
harshal-vaze/Image-Processing-Project
This project was developed to remove the noise from the digital images. Experimental results showed the superior performance of Gaussian and Mean filter algorithm in .NET Core. This method removes Gaussian noise and the edges are better preserved with less computational complexity and integrating library with Learning API.