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.

Understanding the Mechanism of Dynamic Recrystallization During High-Temperature Deformation in Nb-1Zr-0.1C Alloy

Abstract: In the present investigation, a systematic study of the evolution of microstructure and crystallographic texture during hot deformation of Nb-1Zr-0.1C was carried out in the temperature range 1773-1973 K (1500-1700 °C) at different strain rates of 0.001, 0.01 and 0.1 s−1. The aim was to examine the mechanisms of dynamic recovery and recrystallization in a high-temperature range. A detailed microstructural analysis of the deformed samples was performed using the electron backscatter diffraction technique to study the occurrence and nature of various dynamic restoration processes; the different regimes of dynamic recovery and recrystallization were identified. The orientations of the dynamically recrystallized grains were found to be (001) .

Personality analysis through handwriting recognition

Abstract: The uniqueness of an individual can be identified according to one’s behavior, qualities, skills, characteristics, social connectivity, knowledge which all resemble to a single term called, “Person...

Diagnosis of Lung Cancer using Pruned Fuzzy Min-Max Neural Network

Abstract: Lung Cancer is a disease of infection in lung due to uncontrolled cell growth which affects its functionality. It is mostly incurable due to that early detection of Lung Cancer is important. Early detection and treatment may help for patient's survival. Normally, diagnosis of lung cancer includes chest X-ray, ECG, Citi scan, MRI etc. In cancer diagnosis Artificial Neural Network and Fuzzy Min-Max Neural network is a powerful method for predication. FMNN have advantages like Non-linear separability, soft as well as hard decision, less training time and online adaptation. Author suggests FMMN with pruning for lung cancer detection to classify pathological lung cancers. Pruning is a method added in FMNN to minimize the complexity of neural network. Different learning experiments were performed on lung cancer benchmark dataset and on real world records with same attributes. The results are comparatively analyzed.

Turbidity detection using image processing

Abstract: The motivation behind this projected work is to design a new technique to determine turbidity of water samples using Image Processing. Classical method of turbidity detection implies manual procedures characterized by long calibration time, additional common errors and lower repeatability. The technique suggested in this paper consists of capturing water sample images using high definition camera and applying image processing techniques to characterize those samples with different amount of turbidity. Data base is created for water samples with different amount of turbidity using laboratory method of turbidity measurement is can be used anywhere and at anytime in the world wherever Image Processing technique is used for turbidity detection. Image processing outcomes are compared with this data base to give direct and accurate turbidity measurement in fraction of seconds.

Rogue access point detection methods: A review

Abstract: Rogues are unwanted whether they are access points or clients as they steal critical data and bandwidth. To detect a rogue access point different approaches are used. These approaches are briefly classified as Client-side approach, Server-side and Hybrid approach. Every approach has its own advantages and disadvantages. Clients have limited resources and do not possess much control over network when compared with servers. Amongst all approaches Hybrid approach is efficient because it minimizes the inabilities of client side approach and adds server control for detection of Rogue Access Points (AP). This paper aims at surveying different methods of rogue Access Point detection.