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.

Automated object counting for visual inspection applications

Abstract: Object counting is a popular operation in computer vision. It is also useful for visual inspection. When counting objects for visual inspection count of objects with similar features is calculated. In object counting feature extraction from input image is done and count is calculated by comparing these features values with cutoff values. These cutoff values are statically specified and used for particular application. In this paper an automatic counting method is proposed which requires only tolerance to be specified to calculate count of object. The proposed method calculates cutoff values at runtime and therefore it can be easily applied to different applications. The object count generated by proposed method is useful for visual inspection of input samples. The proposed method has basic four steps as Input image, Preprocessing, Segmentation and Counting. In fourth step ‘Counting’ cutoff values are calculated to generate final object count. Proposed automatic counting method is tested on two applications and it shows high accuracy.

Analysis and control of rotor eccentricity in a train-lighting alternator

Abstract: Shaft breakage in three phase inductor-type brushless alternators used in Indian trains for coach lighting and air conditioning is a serious issue in a country where, about 3 million people depend on Indian railways daily as their means of transport. Shaft breakage can be due to mechanical reasons and in many cases due to rotor eccentricity and associated Unbalanced Magnetic Pull (UMP) developed in rotor. This paper presents the analysis of the alternator operation under different eccentric conditions using Finite Element (FE) method. A feedforward controller scheme is also proposed to mitigate UMP due to static eccentricity.

Application of cascade feed forward neural network to predict coagulant dose

Abstract: Inlet water quality fluctuations affect mainly coagulant dose, and outlet water quality of the water treatment plant (WTP). Many complex physical and chemical processes are involved in WTP and wate...