Bbaby99

Bbaby99

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Air-Quality-and-Environment-Monitoring-System

An air quality (particulate matter) and environmental (Temperature,Humidity,Pressure) sensor system smart way to monitor environment is presented with different models in this project. In the proposed architecture functions of different modules were discussed. The noise and air pollution monitoring system with Internet of Things (IoT) concept experimentally tested for monitoring two parameters. It also sent the sensor parameters to the cloud. This data will be helpful for future analysis and it can be easily shared to other end users. This model can be further expanded to monitor the developing cities and industrial zones for pollution monitoring. This project is an efficient and low cost solution for continuous monitoring of environment

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microFreshener-core

Core python module of microFreshener that permits to discover architectural smells affectinng microservices.

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Python_Memory_Architecture

These scripts are written to demonstrate the process of Python Memory Allocation, Partitioning and Mapping. The Python ‘tracemalloc’ module is used to trace memory allocations. The tracemalloc module is a debug tool to trace memory blocks allocated by Python. It provides the following information: > Traceback where an object was allocated. > Statistics on allocated memory blocks per filename and per line number: total size, number and average size of allocated memory blocks. > Compute the differences between two snapshots to detect memory leaks. To trace most memory blocks allocated by Python, the module should be started as early as possible by setting the PYTHONTRACEMALLOC environment variable to 1, or by using -X tracemalloc command line option. The tracemalloc.start() function can be called at runtime to start tracing Python memory allocations. Compiled and presented by Vakindu Philliam.

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