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Chowdhury S.N.,Electronics and Communication Engineering | Dhawan S.,Electronics and Communication Engineering
2016 International Conference on Computation of Power, Energy, Information and Communication, ICCPEIC 2016 | Year: 2016

The meeting of the world's top governmental agencies at Paris for the COP21 summit, made it imminently clear that global warming was no longer a distant threat but a real and tangible one. Since then, there has been a noticeable impetus towards developing mechanisms for measuring the current state of different climate change indicators. In this paper, we have presented a statistical estimation of one such climate change indicator which is the sea surface temperature. Sea surface temperature is important because it not only gives us an idea about the sea level rise, the frequency of storms but also about the marine ecosystem as a whole. If we look towards technology which aims at reducing global warming and its effects in entirety, then we will come across renewable energy systems and among them are hydro energy systems. The systems among these which produce energy do so by the thermal & mechanical energy of the seas with thermal producing the bulk of the energy. Thus, it becomes an important task for one to measure and model the sea temperature so as to take effective measures for proper harnessing of hydro energy. In our review, we have used fundamental distribution functions to model the sea surface temperature, and have calculated error using various error detection tests thereby concluding the best fit for sea temperature data. © 2016 IEEE.


Kalyan G.,Indian Institute of Technology Hyderabad | Srinivas M.B.,Electronics and Communication Engineering
IEEE Asia-Pacific Conference on Circuits and Systems, Proceedings, APCCAS | Year: 2010

An Input Output (IO) Buffer for memory Interface is proposed with the concept of a merged driver which helps in improving the linearity of the driver with a reduced area. A novel calibration scheme is proposed which can adjust larger driver resistance and termination impedance changes for temperature and voltage drifts in a fewer cycles of system clock which will improve the valid data window. © 2010 IEEE.


Konam S.,Electronics and Communication Engineering
Proceedings of the 2014 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2014 | Year: 2014

Mango cultivation methods being adopted currently are ineffective and low productive despite consuming huge man power. Advancements in robust unmanned aerial vehicles (UAV's), high speed image processing algorithms and machine vision techniques, reinforce the possibility of transforming agricultural scenario to modernity within prevailing time and energy constraints. Present paper introduces Agricultural Aid for Mango cutting (AAM), an Agribot that could be employed for precision mango farming. It is a quadcopter empowered with vision and cutter systems complemented with necessary ancillaries. It could hover around the trees, detect the ripe mangoes, cut and collect them. Paper also sheds light on the available Agribots that have mostly been limited to the research labs. AAM robot is the first of its kind that once implemented could pave way to the next generation Agribots capable of increasing the agricultural productivity and justify the existence of intelligent machines. © 2014 IEEE.


Suryavanshi P.,Electronics and Communication Engineering
Global Conference on Communication Technologies, GCCT 2015 | Year: 2015

Image fusion is gaining momentum in the research community with the aim of combining all the important information from multiple images such that the fused image contains more accurate and comprehensive information than that contained in the individual input images. In this paper, it is proposed to fuse multifocus images to get 'all-in-focus' in the wavelet domain using biorthogonal wavelets. To compute fused pixel value, weighted average of the source pixels is taken, where the weight to be given to the pixel is adaptively decided by establishing parent-child relationship among the pixels at different levels of multiresolution decomposition. Two important properties wavelet symmetry and linear phase of biorthogonal wavelets have been exploited for image fusion because they are capable to preserve edge information and hence reducing the distortions in the fused image. The performance of the proposed method have been extensively tested on several pairs of multifocus images and also compared quantitatively with five recently proposed methods with the help of well-known parameters including Petrovic parameters. Results show that the major achievement of this work is that it significantly increases the quality of the fused image, both visually and in terms of standard Petrovic parameters. © 2015 IEEE.


Sirajudeen A.,Electronics and Communication Engineering | Ezhilarasi M.,Kumaraguru College of Technology
Current Medical Imaging Reviews | Year: 2015

Diabetic Retinopathy (DR) is the most common disease induced by the complication of diabetes, causing blindness. In many rural areas, the contributions of ophthalmologists are predicatively less to treat the disease. Detection of lesions in the early stage is a progressive measure to diagnose DR. Initially, a preprocessing method is performed to detect the Optic Nerve Head (ONH) in the lesion. Based on the degree of reflectance in ONH, feature extraction is computed using multi-scale Local Binary Pattern (LBP) algorithm. Here, Gabor convolution is estimated and the structure of ONH is encoded. This extends to a statistical computation in terms of the moment and standard deviation. A Support Vector Machine (SVM) classification is formulated to locate the hemorrhages and exudates and an effective probabilistic multi-label lesion classification is performed to acquire five sets of results representing the diabetic retinopathy: 1) Grade-1 Exudates, 2) Grade-2 Exudates, 3) Micro aneurysms, 4) Hemorrhages, 5) Neovascularization. Finally, the affected area of lesions is used to diagnose the disease. © 2015 Bentham Science Publishers.


Koc T.,Electronics and Communication Engineering
Electronics Letters | Year: 2015

Estimation of glottal flow waveform from speech requires recording of low-frequency sounds down to DC level. It causes a low-frequency noise or bias in the reconstructed glottal flow waveform. Removing this bias by linear highpass filtering (HPF) degrades the shape of glottal flow waveform. A nonlinear method based on empirical mode decomposition is proposed for removing the bias without using HPF while preserving the shape of the glottal flow waveform. The biased glottal flow waveform is decomposed into its intrinsic modes, then the low-frequency bias is estimated by using the higher modes. Glottal flow waveform is reconstructed by subtracting the bias in the time domain. The results show that the proposed method accurately estimates the bias and yields significantly better glottal flow waveforms than the conventional HPF method. © The Institution of Engineering and Technology 2015.


Chowdhury S.N.,Electronics and Communication Engineering | Dhawan S.,Electronics and Communication Engineering
2016 International Conference on Recent Trends in Information Technology, ICRTIT 2016 | Year: 2016

The advent of Machine to machine communication, and the indomitable push of the scientific community towards smart living has given birth to a new reality. This reality includes waking up to a smart home, travelling to work place using a smart vehicle, making smart decisions for the day which are backed more by technology than by instincts and that reality has been given a name and a physical existence in the form of 'Smart City'. The single most characteristic quality of a smart city is categorized by the large amounts of data it produces. This data which is generated provides a lot of information about the usage as well as the user characteristics of the devices used. At, this point we look towards an important aspect which deals with humans as the center of the data ecosystem. In this paper we systematically analyze different facets of human data interaction with respect to the smart cities. The paper revolves around the parameters on the basis of which the ownership of data is decided which has been derived from an extensive survey and how the ownership aspect pans out with the dimensions of smart city. Finally, we discuss about the category of devices which dominate the smart city system and conclude upon how HDI could shape the future of smart cities. © 2016 IEEE.


Ghosh S.,Electronics and Communication Engineering
Wireless Personal Communications | Year: 2015

Performance of present-generation wireless communication, long term evolution (LTE) is greatly affected by bit error rate (BER). So, objective of this paper is to present a quantitative performance comparison of different modulation techniques based on parameters, BER at different level of signal to noise ratio (SNR) and utilized bandwidth by using different level of correlation in multiple input multiple output (MIMO). The comparative analysis has been done by considering LTE support bandwidths of 1.4, 3, 5, 10, 15 and 20 MHz. This LTE based simulation work for urban areas in a fast moving environment is performed on the basis of different antenna arrays like 2 × 2 and 4 × 4. Comparative evaluation in form of graphical results shows that BER is relatively very low at low level correlation of MIMO and LTE system performance based on the parameter BER is better at 10 MHz bandwidth. © 2015 Springer Science+Business Media New York


Helal A.E.,Virginia Polytechnic Institute and State University | Bayoumi A.M.,Electronics and Communication Engineering | Hanafy Y.Y.,Virginia Polytechnic Institute and State University
Proceedings - Design Automation Conference | Year: 2015

This paper discusses the development of a parallel SPICE circuit simulator using the direct method on a cloud-based heterogeneous cluster, which includes multIPle HPC compute nodes with multi-sockets, multicores, and GPUs. A simple model is derived to optimally partition the circuit between the compute nodes. The parallel simulator is divided into four major kernels: Partition Device Model Evaluation (PME), Partition Matrix Factorization (PMF), Interconnection Matrix Evaluation (IME), and Interconnection Matrix Factorization (IMF). Another model is derived to assign each of the kernels to the most suitable execution platform of the Amazon EC2 heterogeneous cloud. The partitioning approach using heterogeneous resources has achieved an order-of-magnitude speedup over optimized multithreaded implementations of SPICE using state of the art KLU and NICSLU packages for matrix solution. © 2015 ACM.


Pareek V.,Electronics and Communication Engineering | Goyal G.,Electronics and Communication Engineering
19th International Symposium on VLSI Design and Test, VDAT 2015 - Proceedings | Year: 2015

In this work, novel layouts of a 4:1 CMOS transmission gate multiplexer are presented. The proposed layouts are realized by following the design rules for 45 nm and 90 nm CMOS processes, with a supply voltage of 1.2 V. Both layouts are designed using two different routing strategies - using only one metal layer, and using two metal layers. The power dissipation and area are noted and compared in all four cases. It is observed that layouts utilizing two metal layers have reduced area but augmented cost of fabrication. The multiplexer layout, using two metal layers for routing, generates an output bit rate as high as 50 Gb/s, without any erroneous bit, in case of 90 nm technology and occupies an area of 8.91 μm2; dissipating 55.966 μW of power. The output bit rate remains same for 45 nm process, with zero bit error, a power consumption of 33.713 μW and an area of 2.45 μm2. The multiplexer continues to operate till 60 Gbps with a BER of 1/8. The areas occupied by these layouts are the lowest encountered in the authors' literature survey. © 2015 IEEE.

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