Tag Archives: Articles on Computer Science

The Man Who Knew too much: Alan Turing

I remembered my first day in college, our vice-chancellor arranged a seminar for all departments 1st-year student, he motivated us, told us about the future that is in our hand, and one thing that I always keep in my mind he told that every student should know to code, I knew the importance of code language, programming, Artificial Intelligence but I really not aware of their history how it was developed, so after the session, I am starting to know about code languages during this time I came came to know about a man “Alan Turing” his life, passion for mathematics and machine, code languages, computer science, just mesmerized me.

Alan Mathison Turing the Father of Modern computer science and Artificial Intelligence. Today Mr. Turing’s 108th birth anniversary. He was an English mathematician, computer scientist, logician, cryptanalyst, philosopher, and theoretical biologist. Turing was highly influential in the development of theoretical computer science, providing a formalization of the concepts of algorithm and computation with the Turing machine, which can be considered a model of a general-purpose computer.

His revolutionary idea was to create a machine that would turn thought processes into numbers. The machine would read a series of ones and zeros from a tape which described the steps needed to solve a problem or task.During the Second World War, Turing worked for the Government Code and Cypher School (GC&CS) at Bletchley Park, Britain’s codebreaking centre that produced Ultra intelligence. For a time he led Hut 8, the section that was responsible for German naval cryptanalysis. Here, he devised a number of techniques for speeding the breaking of German ciphers, including improvements to the pre-war Polish BOMBE method, an electromechanical machine that could find settings for the Enigma machine.

Turing played a crucial role in cracking intercepted coded messages that enabled the Allies to defeat the Nazis in many crucial engagements, including the Battle of the Atlantic, and in so doing helped win the war.he and fellow scientist saved lots of life by code breaking.

The man who is a pioneer of modern mathematics and computer science, his invention, theories changed today’s technology. Tribute to the world’s great Inventor Mr. Alan Mathison Turing🙏.

Fake Indian paper Currency Note Recognition System Using Image Processing

Neetika Singh [1], Akash Awasthi[2]

1. M. Tech Scholar, Department of Software Engineering

2. Head of the Department, Computer Science and Engineering

Naraina Vidha Peeth,Kanpur,India

Uttar Pradesh Technical University,Lucknow,India


Abstract: Fake cash is impersonation money delivered without the legitimate approval of the state or government. Delivering or utilizing this fake cash is a type of extortion or fraud. Copy notes are one of the most concerning issues happening in cash exchanges. Distinguishing fake notes physically gets to be tedious and chaotic process thus there is need of computerization methods with which cash acknowledgment procedure can be effectively done. Numerous systems have been proposed with the utilization of MATLAB, highlight extraction and different uses of picture handling. Two qualities of Indian paper money are chosen for fake discovery included recognizable proof imprint and coin serial number. The attributes extraction is performed on the picture of the coin and it is contrasted and the qualities of the certified money. The money will be checked by utilizing picture preparing methods. The procedure of shrewd edge discovery calculation is utilized for edge recognition. The methodology comprises of picture handling, dim scale change, edge recognition, picture division, trademark extraction, looking at pictures.

Keywords: Fake currency, Canny Operator, Digital image processing, imitation detection

Segment the Roads and Residential Areas from Remote Sensing Images Using 2-D Gradients and MMAD Model

MMAD Model



Dept.of ECE



2N.Dilip Kumar

Assistant professor

Dept.of ECE




Assistant professor

Dept.of ECE




Segmentation of real-world remote sensing images is challenging because of the large size of those data, particularly for very high resolution imagery. For segmentation of remote sensing images, many algorithms have been proposed, to provide accurate results of segmentation by using this new proposed model. Here segmentation can be done by using improved 2D gradient histogram and MMAD (minimum mean absolute deviation) model. This proposed algorithm comes under ‘Thresholding’, the optimal threshold value can find by using MMAD model. Experiments on remote sensing images indicate that the new algorithm provides accurate segmentation results, particularly for images characterized by Laplace distribution histograms.

Keywords: Gradient histogram, image segmentation, minimum class mean absolute deviation, remote sensing.