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Institution

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.


Papers
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Proceedings ArticleDOI
01 Dec 2006
TL;DR: The segmentation algorithm used for localization of iris for the development of robust iris recognition algorithms for biometric process determines an automated threshold for binarizing and determines the pupil center based on a histogram of gray scale image.
Abstract: This paper presents the segmentation algorithm used for localization of iris for the development of robust iris recognition algorithms for biometric process. Iris localization plays a vital importance in iris identification. The method determines an automated threshold for binarising and determines the pupil center based on a histogram of gray scale image. We present a detail comparison of several segmentation algorithms used in the current iris recognition systems..

10 citations

Journal ArticleDOI
TL;DR: In this article, the authors proposed a novel shielded stacked multi-ring resonator (SMRR), which contains a ring resonator with fed patch and a parasitic patch with different numbers and sizes of rings, and the dimensions of rings on the parasitic patch were optimized to achieve Quality factor Q greater than 100 and return loss less than −2dB.
Abstract: The concept of dielectric constant measurement has been extended and applied in agriculture, pharmaceutical and food industry for quality control of liquids. Dielectric analysis of material at microwave frequencies can be done using novel shielded stacked multi-ring resonator (SMRR). The dielectric constant of liquids and paste has been calculated using SMRR with greater accuracy than the planar resonator, boxed resonator and stacked resonator. SMRR contains a ring resonator with fed patch and parasitic patch with different numbers and sizes of rings. The dimensions of rings on the parasitic patch are optimized to achieve Quality factor Q greater than 100 and return loss less than −2 dB. Due to dual resonance in novel SMRR, structure losses are reduced by 50% than planar resonator structure. The behavior of SMRR structure at the 2.45 GHz frequency is studied with E field and H field. 3D model is designed in Computer Simulation Technology Microwave Studio (CST MWS) using TLM (Transmission Line Modeling) solver. Electromagnetic field analysis as well as impedance bandwidth of SMRR using CST MWS 3D model prove that electromagnetic coupling in SMRR structure increases thus improves quality factor. In SMRR quality factor increases and losses reduce help us to predict the complex permittivity of material for quality analysis.

10 citations

Journal ArticleDOI
TL;DR: In this paper, the effect of microstructural changes in AISI T42 that occurred due to cryogenic treatment on the material properties such as wear behaviour, hardness and impact energy was investigated.
Abstract: This paper investigates effect of microstructural changes in AISI T42 that occurred due to cryogenic treatment on the material properties such as wear behaviour, hardness and impact energy. Specimens of T42 were hardened in the salt bath at 1215°C, tempered four times in salt bath at 550°C followed by air cooling. All specimens were cryotreated at −185°C for varying length of cryosoaking periods followed by soft tempering at 100°C. Samples characterised for residual stress, carbide density, hardness, impact energy and wear volume. An optimum cryosoaking period of 8 h was established with appreciable combination of carbide density, hardness and dramatic reduction in wear rate by 58%. Morphology of carbides and merging of ultramicroscopic W rich and V rich carbides at higher cryosoaking period on material properties was analysed. Microstructural changes at subsurface has been correlated in light of prevailing the wear mechanism and operative wear modes.

10 citations

Proceedings ArticleDOI
11 May 2018
TL;DR: The system proposed in this paper intends to make use of Augmented Reality (AR) technology for evaluation and visualization of a beating heart to make this doctor-patient interaction more intuitive.
Abstract: Augmented Reality has been defined broadly as combining real and computer-generated digital information into the user's view of the physical and interactive real world in such a way that they appear as one environment, thus providing a bridge between digital information and the physical world. Augmented Reality can amplify human perception and cognition in remarkable new ways. Currently, during a cardiac examination, it becomes extremely difficult for the patient to comprehend the results. As the results are non-intuitive, doctors have a tough time explaining them to patients. Therefore, the patients have to rely on doctor's judgment against his own. The system proposed in this paper intends to make use of Augmented Reality (AR) technology for evaluation and visualization of a beating heart to make this doctor-patient interaction more intuitive. The system proposed in this paper is an android application which uses device's camera to display the 3D heart model in the augmented view. The real-time pulse data is loaded via a pulse sensor connected with an MCU through the cloud. Hence, the results obtained have shown us that this system has proven to bring more intuitiveness in beating heart visualization and analysis.

10 citations

Proceedings ArticleDOI
01 Dec 2016
TL;DR: In the proposed system, neural and non-neural approach is presented for classification of different characters for offline Handwritten Character Recognition (HWCR) system.
Abstract: For development of offline Handwritten Character Recognition (HWCR) system, scripts have always posed a difficulty. In the proposed system, we present neural and non-neural approach for classification of different characters. After pre-processing, features are extracted using Chain code histogram and Intersection junction techniques. BPN, KNN & SVM have been used to train and classify the Devnagari and MODI vowels separately. The combinations have been compared for both the scripts on the basis of their recognition rate.

10 citations


Authors

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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202227
2021491
2020323
2019325
2018373
2017334