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.

Current differential protection of transmission line using the moving window averaging technique

Abstract: We propose a new approach to current differential protection of transmission lines. In this approach, we transform the instantaneous line current(s) by using a moving window averaging technique. If the time span of moving window is equal to one-cycle time, then the steady-state value of the transformed current is zero for a periodic signal which is composed of fundamental and harmonic frequencies. Signal distortions (e.g., a fault) cause the transformed currents to deviate from the nominal zero value. This permits the development of a sensitive, secure, fast, and yet simple current differential protection scheme. The scheme can be applied in toto to series-compensated transmission lines. Results on a four-machine ten-bus system and comparative evaluation with state-of-the-art methods brings out promise of the proposed method.

A novel parallel implementation of Naive Bayesian classifier for Big Data

Abstract: Big Data has become one of the most commonly used terms in the Information Technology circles. The sheer volume of data to be processed and analyzed has grown exponentially with the increasing popularity of Internet and World Wide Web. This presents challenges while storing, manipulating and mining the data. Every day researchers are working on different solutions to handle the volume of data being provided. In machine learning, classification of new observations is done on the basis of the provided learning(training) data to the classifiers. One of the most commonly used efficient and accurate classifiers is the Naive Bayesian classifier. This paper proposes a novel parallel implementation of Naive Bayesian (PNB+) classifier to decrease the testing time complexity while handling large data sets.

Thermal performance of phase change material–based heat sink for passive cooling of electronic components: An experimental study

Abstract: Funding information DST/TMD/MES/2k17/65, Grant/Award Number: IF170534 Summary Present paper reports the thermal performance of various phase change material (PCM)-based heat sinks during melting process for cooling of portable electronic devices through experimental investigations. Heat sink configurations include unfinned with pure PCM, finned with pure PCM, unfinned with metallic foam (MF)–PCM composite, and finned with MF–PCM composite. Paraffin wax is used as PCM, and tests have been carried out for various input heat flux values (1.3, 2.0, and 2.7 kW/m) at different volume fractions of PCM (0, 0.50, 0.86, and 1). The effect of various parameters such as PCM volume fraction, heat sink type, and heat flux on the stretching of operating time to achieve a set point temperature (SPT) is studied. Results obtained from the current experimental investigation are compared with the existing test results. Also, unfinned heat sink without and with PCM is used for baseline comparison. The evolution and propagation of melt front inside the heat sink are studied through photographic observation. The enhancement in operating time is found to vary with the SPT and heat flux values. MF–PCM-based heat sinks are more advantageous for higher value of input heat flux (2.0 and 2.7 kW/m). For q 00 = 1.3 and 2.0 kW/m, four-finned MF–PCM-based heat sink exhibits better performance; while three-finned MF–PCM-based heat sink shows best performance at q 00 = 2.7 kW/m. The highest enhancement ratio of 2.97 is obtained at 1.3 and 2.7 kW/m for four-finned MF–PCM heat sink and three-finned MF–PCM heat sink, respectively. Also, threefinned heat sink provides higher heat transfer rate and highest thermal conductance at q 00 = 2.7 kW/m.

A photonic crystal sensor for analysis and detection of cancer cells

Abstract: In this paper, a 2D photonic crystal sensor using gratings has been designed for the analysis of Basal, Breast and Cervical cancer cells. The grating design, incorporated in the photonic crystal waveguide increases the efficiency and sensitivity of the designed sensor. The fact that index of refraction of the cancer cells differs from the normal cell, it can be differentiated and detected using optical techniques. The shift in the wavelength and intensity levels in the reflection spectrum has been observed for cancer and normal cells. FDTD method has been used for analyzing cells. MEEP simulation tool has been used for modeling and designing of sensor.

Thermal and Dielectric Properties of High Performance Polymer/ZnO Nanocomposites

Abstract: Zinc oxide (ZnO) filled high performance poly(aryletherketon) (PAEK) matrix nanocomposites were studied for the application in electronic applications. The nanocomposites were prepared using planetary ball milling process followed by hot pressing. Experimental density of the nanocomposites was close to those of theoretical density indicating porosity free samples. Scanning electron microscopy showed excellent dispersion of nano sized (< 100 nm) ZnO particles into the PAEK matrix. X-ray diffraction (XRD) confirmed that the size of ZnO crystallites is about 58 nm. Thermogravimetry analyzer (TGA) showed significant increase in thermal stability and char yield of the nanocomposites with increasing ZnO content in the matrix. The dielectric constants of the nanocomposites increased significantly compared to those of pure PAEK.