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.

Supervised Machine Learning Algorithm for Detection of Cardiac Disorders

Abstract: The echocardiogram is the technique which is used in the diagnosis of most of the heart related diseases. Echocardiogram contains less information hence the diagnosis of the disease from the Echocardiogram videos is time consuming task. It required more human efforts to make a decision. Hence the automatic approach to detect the cardiovascular diseases with minimum computing time and high accuracy is necessary. In this approach, the automatic dilated cardiomyopathy (DCM) and Atrial Septal Defect (ASD) disease detection using machine learning approach has been proposed. The database contains the ultrasound videos of ASD, DCM and normal cases. The features extracted from the image and the classified the extracted features using supervised support vector machine algorithm. The proposed system achieved the accuracy of 98.30%.

Taste Evaluation by Electronic Tongue and Bioavailability Enhancement of Efavirenz.

Abstract: Self-nanoemulsifying drug delivery systems (SNEDDS) are isotropic and thermodynamically stable mixtures of oil, surfactant, co-surfactant, and drug which emulsify spontaneously on contact with aqueous phase under mild agitation. Efavirenz used for treatment of acquired immune deficiency syndrome, is poorly water soluble and bitter tasting drug resulting in “burning mouth syndrome (BMS).” The objective of this study was to improve solubility and oral bioavailability by formulating liquid-SNEDDS and to mask bitter taste and minimize BMS. Capmul PG8 NF, Cremophor RH40, and Transcutol HP were selected as oil, surfactant, and co-surfactant. Ternary phase diagrams were constructed to evaluate the nanoemulsification region. A 32 factorial design was employed to optimize L-SNEDDS with droplet size and drug release as responses. Optimized batch was subjected to evaluation of taste by human panel method and electronic tongue, cloud point determination, phase separation, in vivo and stability studies. The optimized batch exhibited droplet size of 21.53 nm, polydispersibility index 0.155, and in vitro drug release of 92.26% in 60 min. The in vivo studies revealed 4.5 times enhancement in oral bioavailability. Taste evaluation indicated reduced the intensity and shortened duration of BMS. The formulation was stable at 40°C ± 75% RH after 3 months. Comparison between standard bitter drug and efavirenz in SNEDDS formulation using e-tongue by principal component analysis revealed significant differences in discrimination index, computed by multivariate data analysis. This study demonstrated that L-SNEDDS may be an alternative approach to improve solubility and oral bioavailability and for masking the bitterness of efavirenz.

Numerical Investigations on Characteristics of Stresses in U-Shaped Metal Expansion Bellows

Abstract: Metal expansion bellows are a mechanical device for absorbing energy or displacement in structures. It is widely used to deal with vibrations, thermal expansion, and the angular, radial, and axial displacements of components. The main objective of this paper is to perform numerical analysis to find various characteristics of stresses in U-shaped metal expansion bellows as per the requirement of vendor and ASME standards. In this paper, extensive analytical and numerical study is carried out to calculate the different characteristics of stresses due to internal pressure varying from 1 MPa to 2 MPa in U-shaped bellows. Finite element analysis by using Ansys14 is performed to find the characteristics of U-shaped metal expansion bellows. Finally, the results of analytical analysis and finite element method (FEM) show a very good agreement. The results of this research work could be used as a basis for designing a new type of the metal bellows.

Varying proportions of constituent transforms to generate hybrid wavelet transform for image compression

Abstract: The storage and transfer of images have gained importance. Image compression plays a vital role for ease of storage and transfer of images. Image compression in transform domain is one of the most popular techniques. Previous work has proved that the hybrid wavelet transforms (HWT) are better than the respective orthogonal transforms [1]. In this paper, the effect of varying proportions of constituent transforms to generate the hybrid wavelet transform are tested for the effect on quality of image compression using cosine and Kekre transform. The experimentation is done on set of 20 images by varying the proportion of constituent transforms and compression ratios (CR). Here, in addition to conventional 1:1 proportion of constituent transforms; four additional proportions alias 1:16, 1:4, 4:1, 16:1 are also considered for generation of HWT. The results prove that for compression ratio above 90%, 4:1 ratio of constituent DCT-Kekre transform in HWT gives better results. 1:1 ratio of constituent transforms give better results for compression ratios between 75% and 90%. But for lower compression ratios, 1:4 proportions of constituent transforms (DCT-Kekre transform) in HWT gives better results.

Identification of Potential Stormwater Recharge Zones in dense urban context: A Case Study from Pune City

Abstract: Anthropogenic alterations have affected urban hydrology in India and have generated a wide range of hydrological problems. Such alterations include increase in directly-connected impervious cover thus reducing natural groundwater recharge. In the past urban runoff was largely viewed as a nuisance, but within the new paradigm of sustainability, this water is recognized as a potential resource. This research paper discusses the importance of managing stormwater sustainably by recharging groundwater sources. It indicates the potential of stormwater harvesting, when properly managed, as a tool to counter depleting water sources and ever-increasing demand for water. The present study aims at developing a potential stormwater recharge zone map for a sub watershed in Pune city, India using GIS. Five classes of thematic maps have been integrated to prepare the final map. Each class is assigned a weightage depending on its influence on the recharge of stormwater. The resultant map (potential stormwater recharge zone map) thus prepared is classified into four classes: Very good, good, moderate and poor.