College of Engineering, Pune

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

A novel approach for detection of SQL injection and cross site scripting attacks

Abstract: Web applications provide vast category of functionalities and usefulness. As more and more sensitive data is available over the internet hackers are becoming more interested in such data revealing which can cause massive damage. SQL injection is one of such attacks. This attack can be used to infiltrate the database of any web application that may lead to alteration of database or disclosing important information. Cross site scripting is one more attack in which attacker obfuscates the input given to the web application that may lead to changes in view of the web page. Three tier web applications can be categorized statically and dynamically for detecting and preventing these types of attacks. Mapping model in which requests are mapped on queries can be used effectively to detect such kind of attacks and prevention logic can be applied.

Natural Convection Heat Transfer From Horizontal Rectangular Inverted Notched Fin Arrays

Abstract: The variables for natural convection cooling with the help of finned surfaces are orientation and geometry. In lengthwise short array (L/H ∼5), where single chimney flow pattern is present, a stagnant zone is created at the central bottom portion of fin array channel and hence it does not contribute much in heat dissipation. Hence it is removed in the form of inverted notch at the central bottom portion of fin to modify its geometry for enhancement of heat transfer. An experimental setup is developed for studying the investigation on normal and inverted notched fin arrays (INFAs). Fin spacing, heater input, and percentage of area removed in the form of inverted notch are the parameters. For few spacing, it is verified by computational fluid dynamics analysis (Course Notes on Introduction to Commercial CFD of Tridiagonal Solutions, Pune), and the results are well matching. It is found that the average heat transfer coefficient for INFAs is nearly 30― 40% higher as compared with normal array.

Surface modification of C40 steel using WC-Cu P/M green compact electrodes in EDM

Abstract: This study deals with surface modification of C-40 grade steel using P/M (powder metallurgy) green compacts of WC?Cu mixture as the EDM tool during a die sinking operation in hydrocarbon dielectric fluid. An L8 Taguchi array is used to investigate the process by varying tool parameters like composition and compaction pressure and EDM operating parameters like polarity, peak-current and pulse-duration. An optimal condition, for getting a uniform layer over the surface, is achieved using OEC (overall evaluation criteria). At the optimum condition, a layer thickness of 48.9μm and an increase in hardness up to 1632Hv are achieved.

Blood cell segmentation from microscopic blood images

Abstract: Blood cell segmentation is a critical innovation for automatic differential blood counting, classification and analysis in clinical examination. In color blood cell images segmentation and recognition are two essential issues in the field of biomedical cell morphology. This paper approaches methods to segment the blood cells from microscopic thin blood images. This data is the premise to perform higher level tasks for example, automatic differential blood counting, detection of different diseases such as Malaria, Babesia, Chagas disease, Anemia, Leukemia etc. A noteworthy necessity of an automated, real-time, computer vision-based cell segmentation system is an efficient method for segmenting different blood component such as Red Blood Cells (RBCs), White Blood Cells (WBCs), Platelets from input images for blood count as well as to detect the parasites present in blood cells. Input images are captured by connecting digital camera to microscope. Captured images are enhanced and segmented using K-mean clustering as well as global threshold. Overlapping cells are separated using Sobel edge detector and Watershed transform.