Electronics: Recent submissions

  • Genesis of PLD's, market players, and tools 
    Parab, J.S.; Gad, R.S.; Naik, G.M. (Hands-on Experience with Altera FPGA Development Boards by Jivan S. Parab; Rajendra S. Gad; G.M. Naik. Springer (India) Pvt. Ltd. 2018; 1-17.)
    This chapter discusses the microprocessor, microcontroller, and PLD devices and also talk about how to select these devices for desired application. This chapter gives the family tree of PLD devices and helps designer to ...
  • Hands-on experience with Altera FPGA Development Boards 
    Parab, J.S.; Gad, R.S.; Naik, G.M. (Springer (India) Pvt. Ltd. 2018; 150pp.)
    This book is built around the use of readymade soft processor cores for FPGA design. In particular, the book focuses on Altera FPGA boards. The book explores many different embedded systems needs and prepares its readers ...
  • Experimental evaluation of 3D kinect face database 
    Gaonkar, A.A.; Gad, M.D.; Vetrekar, N.T.; Tilve, V.S.; Gad, R.S. (Computer Vision, Graphics, and Image Processing (ICVGIP 2016), Ed. by: Snehasis Mukherjee, Suvadip Mukherjee, Dipti Prasad Mukherjee, Jayanthi Sivaswamy, Suyash Awate, Srirangaraj Setlur, Anoop M. Namboodiri, Santanu Chaudhury. Lecture Notes in Computer Science. Springer. 10481; 2017; 15-26.)
    3D face recognition has gain a paramount importance over 2D due to its potential to address the limitations of 2D face recognition against the variation in facial poses, angles, occlusions etc. Research in 3D face recognition ...
  • Photometric normalization techniques for extended multi-spectral face recognition: A comparative analysis 
    Vetrekar, N.T.; Raghavendra, R.; Gad, R.S.; Naik, G.M. (Computer Vision, Graphics, and Image Processing (ICVGIP 2016), Ed. by: Snehasis Mukherjee, Suvadip Mukherjee, Dipti Prasad Mukherjee, Jayanthi Sivaswamy, Suyash Awate, Srirangaraj Setlur, Anoop M. Namboodiri, Santanu Chaudhury. Lecture Notes in Computer Science. Springer. 10481; 2017; 27-38.)
    Biometric authentication based on face recognition acquired enormous attention due to its non-intrusive nature of image capture. Recently, with the advancement in sensor technology, face recognition based on Multi-spectral ...
  • Design and Development of Smart Soil Monitoring System Based on Embedded Technology 
    Vernekar, S.R.
  • Estimation of Cholesterol by Impedance Measurement Based on DSP Technique 
    Nazareth, I.A.P.
  • Band level fusion using quaternion representation for extended multi-spectral face recognition 
    Vetrekar, N.; Raja, K.B.; Raghavendra, R.; Gad, R.S.; Busch, C. (20. Int. Conf. on Information Fusion (Fusion), China. 10-13 Jul 2017. IEEE.. 2017; 6pp.)
    With the availability of sensor technology across the broad electromagnetic spectrum, multi-spectral imaging is increasingly used in biometric systems. Especially for face recognition, multi-spectral imaging has gained a ...
  • Detection of fetal distress using independent component analysis 
    Marchon, N.; Naik, G.M. (2. Int. Conf. for Convergence of Technology (I2CT), 07-09 Apr 2017. Pune, India. 2017; 5pp.)
    The abdominal electrocardiogram (aECG) which is the recording of the cardiac activity of both the mother and the fetus can be used as the signal from which the fetal ECG (FECG) is obtained. The main challenge is to extract ...
  • Extracting MQRS and FQRS from non-invasive abdominal ECG 
    Marchon, N.; Naik, G.M.; Pai, K.R. (2. Int. Conf. for Convergence of Technology (I2CT), 07-09 Apr 2017. Pune, India. 2017; 5pp.)
    Accurate extraction of the fetal QRS (FQRS) complex from the maternal abdominal ECG has become a very important clinical procedure to evaluate the well-being of the fetus. Fetal heart rate (FHR) obtained from the FQRS ...
  • Thresholding method for classification of Glioma Grade III and Grade IV 
    Patil, S.; Naik, G.M.; Pai, K.R.; Gad, R.S. (Int. Conf. on Engineering and Technology (ICET), Mumbai, Krishna Palace Hotel, Mumbai. 27 Nov 2016. 2016; 5pp.)
    Invention of the microarray technology has facilitated considerable improvement in the survival rate of the cancer patients. Microarray gene expression data has a small sample size and a large dimension. In this paper we ...

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