College of Engineering, Pune

About: College of Engineering, Pune is a based out in . It is known for research contribution in the topics: Computer science & Sliding mode control. The organization has 4264 authors who have published 3492 publications receiving 19371 citations. The organization is also known as: COEP.

Discrete sliding mode control for a class of underactuated systems

Abstract: This paper presents a new reaching law to design discrete sliding mode controller for a class of mismatched uncertain systems. A control problem for slosh free-motion of a container is sought. It represents a broader class of systems. A simple pendulum model is considered to represent the lateral slosh. Validity of the proposed scheme is demonstrated by simulation.

Algorithm to Break Visual CAPTCHA

Abstract: Completely Automated Public Turing Tests to Tell Computers and Humans Apart (CAPTCHAs) are the automatic filters that are widely used these days to disallow any automated script that can perform the work of a human. CAPTCHAs are built in such a way that it is very difficult for any automated script to break them. In this paper, an approach to break text based CAPTCHAs has been proposed that first preprocesses the given CAPTCHA, segments its characters, and then recognizes the characters depending on its features. The breaking of CAPTCHA gives strength of CAPTCHA which in turn helps to develop more robust CAPTCHA The testing results shows that the algorithm successfully breaks the CAPCHA. This algorithm will be also helpful to screen reader program. The results show that it is not a trivial task to design a CAPTCHA scheme that is both usable and robust.

Diagnosis of liver diseases using machine learning

Abstract: Liver Diseases account for over 2.4% of Indian deaths per annum. [14] Liver disease is also difficult to diagnose in the early stages owing to subtle symptoms. Often the symptoms become apparent when it is too late. [1] This paper aims to improve diagnosis of liver diseases by exploring 2 methods of identification-patient parameters and genome expression. The paper also discusses the computational algorithms that can be used in the aforementioned methodology and lists demerits. It proposes methods to improve the efficiency of these algorithms.