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.

Emergency services platform for smart cities

Abstract: The Indian ‘smart cities’ have burgeoning population consuming the intelligent systems running over the city infrastructure and services. One critical set of such services is that of the emergency services involving Ambulances, Police and Firefighters. The services provided by these officials are often time critical, which makes their easy and quick availability a must have attribute. This paper proposes a solution to make such services available to those in need ensuring minimum response time. The proposed solution is based on capturing live location of the emergency services. This will enable the citizen in need to connect to the nearest available officials. The primary contribution of this paper is that it provides a scalable solution that can be extrapolated to entire city where the number of users using this system will be in millions. Every emergency service official will have an internet and Global Positioning System (GPS) enabled device (Smartphone or low cost hardware module) that will keep streaming live location data to servers. User when in need can get contact details of the nearest available official, which will minimize time involved in the official reaching the user. Security of the location data also has been handled in the proposed solution. The existing location tracking systems will not be able to handle the tremendous data traffic coming from entire city population. This paper proposes a back-end architecture that will be future ready to handle such huge number of users.

A Novel Approach to Association Rule Mining Using Multilevel Relationship Algorithm for Cooperative Learning

Abstract: Mining the Data is also known as Discovery of Knowledge in Databases, is to get correlations, trends, patterns, anomalies from the databases which can help out to make exact future decisions. However data mining is not the natural. No one can assure that the decision will lead to good quality results. It only helps experts to understand the data and lead to good decisions. Association Mining is the discovery of relations or correlations among an item set. An objective is to make rules from given multiple sources of customer database transaction. It needs increasingly deepening the knowledge mining process for finding refined knowledge from data. Earlier work is on mining association rules at one level. Though mining association rules at various levels is necessary. Finding of interesting association relationship among large amount of data will helpful to decision building, marketing, & business managing. For generating frequent item set we are using Apriori Algorithm in multiple levels so called Multilevel Relationship algorithm (MRA). MRA works in first two stages. In third stage of MRA uses Bayesian probability to find out the dependency & relationship among different shops, pattern of sales & generates the rule for learning. This paper gives detail idea about concepts of association mining, mathematical model development for Multilevel Relationship algorithm, Implementation & Result Analysis of MRA and performance comparison of MRA and Apriori algorithm.

UDS Impiemetation for ECU I/O Testing

Abstract: The electronic control devices in a modern vehicle are called as Electronic Control Units (ECU). The ECUs support Controller Area Network (CAN) communication protocol. CAN is used for communication between vehicle ECUs since it is reliable, robust and has fault confinement quality. But when the number of on-board ECUs is increased, the diagnosis of a specific ECU becomes a complex task. The diagnosis of the electronic devices and electrical circuits is done with a standardized communication protocol, UDS (Unified Diagnostic Services). In this paper, Input/Outputs testing by UDS application is presented.

Design of fractional order controllers using constrained optimization and reference tracking method

Abstract: In recent times, fractional order controllers are gaining more interest. There are several fractional order controllers are available in literature. Still, tuning of these controllers is one of the main issues which the control community is facing. In this paper, online tuning of five dierent fractional order controllers is discussed viz. tilted proportional-integral-derivative (T-PID) controller, fractional order proportional-integral (FO-PI) controller, fractional order proportional-derivative (FO-PD) controller, fractional order proportional-integral-derivative (FO-PID) controller. A reference tracking method is proposed for tuning of fractional order controllers. First order with dead time (FOWDT) system is used to check feasibility of the control strategy.

Language Independent Speaker Identification

Abstract: Automatic speaker identification (ASI) and Automatic speaker verification (ASV) are probably the most natural and economical methods for solving the problems of unauthorized use of computer and communications systems and multilevel access control. This paper presents a method for speaker identification, independent of language spoken. This paper uses combination of both, pitch frequency and speaker specific vocal tract information to separate one speaker from other. The identification process goes through future extraction, spectral analysis, Welch analysis and pitch detection or estimating fundamental frequency using harmonic product spectrum (HPS) algorithm [3].. The speaker specific vocal tract information is mainly represented by mel-frequency cepstrum coefficients(MFCCs) [5]. The proposed method uses MFCCs as additional features along with pitch histograms (histogram of pitch frequency values), since these two are complementary features, they give better identification [4].