Fuzzy Image Enhancement using Fuzzy Rule-based Contrast Enhacement System

Python implementation with Jupyter Notebook

Fuzzy Rule-based Contrast Enhancement (FRCE) System using Pydroid 3 and Jupyter Notebook

It was fun to implement Fuzzy Rule-based Contrast Enhancement (FRCE) System in Python using Pydroid 3 Android App with Jupyter Notebook. My python learning journey took another step.

The complete code in screenshots:

APU, CPU, GPU, and TPU

Accelerated Processing Unit (APU) = Central Processing Unit (CPU) + Graphics Processing Unit (GPU)

Tensor Processing Unit (TPU) = Aplication Specific Integrated Circuit (ASIC)

TPU uses tensor operations for speedy computations.

Example: Both DFT and FFT compute Fourier Transform; however FFT compute in a much faster manner by exploiting similarity to significantly reduce number of operations.

[Images from AMD and Google]

pydroid 3 and jupyter notebook

Learning python is always a fun. Now it comes to Android with pydroid 3. After few experiments, part of a fuzzy sytem implemented.

 

 

Bootable Ubuntu USB Stick

Bootable Ubuntu USB Stick

Uses of bootable Ubuntu USB stick*:

• Install or upgrade Ubuntu
• Test out the Ubuntu desktop experience without touching your PC configuration
• Boot into Ubuntu on a borrowed machine or from an internet cafe
• Use tools installed by default on the USB stick to repair or fix a broken
  configuration

* [website link] https://tutorials.ubuntu.com/tutorial/tutorial-create-a-usb-stick-on-windows

PhD Country Directory [2018-05-03]

Working with PDF Files

It is difficult to work with PDF files, especially; when it comes to editing and cropping. Extraction of pages from a PDF file is made easy through use of PDF print or save option, however, other options do exist. For example, PDFsam Basic and PDFescape, see few screenshots pasted below.