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.

Automated data collection for credit score calculation based on financial transactions and social media

Abstract: Financial credibility of a person is a cardinal factor in the approval of loans or permitting credit transactions. Today, this credibility is based on the ‘credit score’ of the person which is calculated from the person's past performance on debt obligations. This paper provides a unique alternative solution to collect this data. Harnessing the fact that almost everyone has smartphones today, there can be a smartphone application that collects all such data and submits it to the official body. Financial transactions are not the only parameters that can determine credibility of a person. This paper proposes accessing social media data to get insights into general social status of a person. Today, all transactions are conveyed by banks and other institutes to the users via SMS. Hence, having access to SMS will result to getting data related to all such transactions. The proposed solution will have smartphone application that will capture bank transaction data and data related to online purchases through SMS. Use of artificial neural networks will enable calculating the final credibility score based on the various data parameters collected. The primary contribution of this paper is that it provides a system to automatically collect all data required to calculate the credit score. What is unique in this approach is the involvement of data from social media. This approach is better than the existing solutions as it will collect data other than just transactional data thus enabling calculation of a more effective credit score.

Investigation of Behavioral Aspects of Flexible Pavement under Various Conditions by Finite Element Method

Abstract: Basic aim of this paper is to develop a tailor made program for design and analysis of flexible pavements using finite element method which will enhance the scope to use variety of combinations of materials, conditions, and various parameters which correlates with the actual conditions on the field. The conditions which affect the flexible pavement are variation of wheel loading, temperature, seepage, varying thickness, etc. Both positive and negative change in temperature during day time and night time as well as due to seasonal changes will be considered. The water seeps through sub grade which results in decrease in life of pavement by reduction in sub grade modulus. The effect of water table will be studied on swelling and shrinkage property of sub grade. Similarly performance of pavement will be checked by varying thicknesses of asphalt concrete, and base layers. The capillary water held in pores of concrete pavement may cause failure of pavement by freezing and thawing action. The effect of wheel loading cannot be neglected as severe pavement damage is because of higher axle loads. However from the past studies and through the recommendations of the AASHTO code of practice the actual wheel load and their combinations could be shortlisted.

P&O, IncCon and Fuzzy Logic implemented MPPT scheme for PV systems using PIC18F452

Abstract: Today, Photovoltaic (PV) systems are very popular for power generation because they enjoy the advantage of being pollution free abundant natural resource, low maintenance cost and noiseless operation. Photovoltaic (PV) systems needs maximum power point tracking (MPPT) to maximize the PV array power output which is independent of the temperature, irradiation conditions and electrical characteristics of the load. The Research Work introduces photovoltaic MPPT system based on PIC18F452 to achieve maximum power tracking. Moreover, the combination of boost circuit and PIC18F452 microcontroller is used for tracking of the maximum power generation from PV system. Moreover, Research presents a practical implementation of Perturbation and Observation (P&O), Incremental Conductance (IncCon) and Fuzzy Logic algorithms to achieve MPPT control. These algorithms are widely used because of its low-cost and ease of realization. Proposed P&O, Incremental Conductance and Fuzzy Logic algorithms are implemented and tested under different loads, and the test results are analyzed and compared. The results show the performance of the Fuzzy Logic and Incremental Conductance algorithm in tracking MPP is better than the P&O algorithm and the experimental results of Fuzzy Logic and Incremental Conductance algorithm indicate the feasibility and improved system functionality with high-efficiency. Also, results concludes that the design can effectively accomplish the purpose of the maximum power tracking.

Double circuit transmission line parameter estimation using PMU

Abstract: Accurate measurement of transmission line parameters is important for power system protection applications, especially distance relays whose zone settings are based on positive sequence line impedance. This paper presents a new method to estimate all the parameters for double circuit transmission lines. Double circuit transmission lines are widely used in the power system and are important from reliability, right of way and cost perspective. These lines are mutually coupled in zero sequence. In this paper we also propose a novel method to estimate the zero sequence mutual impedance during ground faults outside the double circuit transmission lines. The system is modeled in ATP and the algorithm is implemented in MATLAB. The result substantiates the claims of the proposed method.

Pavement performance evaluation for different combinations of temperature conditions and bituminous mixes

Abstract: The effectiveness of 2D axisymmetric finite element analysis in predicting the performance of flexible pavements at different temperatures is illustrated in the present study. The critical parameters are examined for variation in thicknesses and material properties of the bituminous layer, to select the right binder grade of bituminous mixes for the particular climatic condition or the selected temperature profile. To observe the effect of decrement in temperature profile of the under layer on the performance of the pavement, variation in modulus of dense bituminous macadam is analyzed for material properties reported as per IRC: 37-2012. For the modern trucks, which usually have more than 0.800 MPa tyre pressure, the right binder grade of bituminous layer comprising a wearing course and dense bituminous macadam is 1700 MPa for 250 mm-thick bituminous layer. When more stiffer binder is used, drastic change in the value of critical parameters is observed. A reduction of 18.98 and 5.25 % in horizontal tensile strain and vertical compressive strain, respectively, is observed at a 200 mm thickness of bituminous layer and around 21.12 and 6.72 % in horizontal tensile strain and vertical compressive strain, respectively, at 250 mm thickness of bituminous layer. As the values of the critical parameters are noticed well within the allowable limits at 200 mm, it is concluded that the use of a stiffer binder for DBM makes the pavement safe as far as fatigue of bituminous layer and rutting in subgrade is concerned with the reduction in thickness of the bituminous layer even at higher temperature. It is observed that the use of waste plastic/rubber is found in safe limits at 250 mm-thick bituminous layer for the selected condition. It is concluded that the use of too soft a bituminous mix results in lowering the structural capacity of the pavement at high temperatures and too hard bituminous mixes would become brittle at low temperatures.