Enhanced convnet based Latent Finger Print Recognition

Latent finger print recognition plays an important role in forensic, criminal cases etc. The latent images will not be recognised easily since they are impartial images, which find difficult to match with the registered database. Due to noisy images, it is very difficult for recognition. Autoencoder plays an important role in pre-processing the latent image. ConvNetbased method is an efficient approach used for latent image recognition. For each minutiae extraction, ConvNet descriptor is performed. Both minutiae and texture matcher is considered for comparison. This technique is compared with existing methods which shows, that the proposed method provides a higher accuracy than the existing methods like CNN, skeleton approach nonlinear mapping and product quantization. The proposed method provides an accuracy of 76.4%, 80.4% and 86.4% for rank1,5 and 10 respectively

NPK Deficiency Detection in Paddy Leaf Images

Majority of people in India has got their source of income by means of rice cultivation (approximately 70%). But if they easily prone to deficiencies the entire crop field will be wasted. So, in order to get the paddy field high we need to predict the diseases or deficiencies caused to that paddy fields. Paddy leaves will be deficient with multiple nutrient components at a same time. The deviation from being healthy can be identified based on the color and pattern because the healthy leaves are dominant in green color rather than any other color, whereas unhealthy leaves are not dominant in green. The proposed work is to identify individual N, P, K and combination of nitrogen phosphorous (NP), nitrogen-potassium (NK), phosphorous-potassium (PK) and nitrogen-phosphorous-potassium (NPK) deficiencies in a leaf at a same time. Here pattern analysis and RGB color options are extracted to spot defected paddy leaves. Multiple color and multiple pattern comparison is done against the healthy leaves thereby we can easily identify the exact deficiency of nutrient (like N, P, K, NP, NK, PK, NPK) of that unhealthy leaf

Environmental concerns in Asia-Pacific region

This study primarily identifies major environmental concerns in the Asia-Pacific region. It also addresses regional policy responses and directions. Further, it deals with (a) issues that the international community needs to address, (b) priorities among the plethora of environmental concerns, and (c) policy responses in the Asia-Pacific region

Genetic variability, heritability and genetic advance estimates in maize (Zea mays L.) inbred lines

Forty three genotypes of maize were evaluated for eleven traits at the College Farm, College of Agriculture, Rajendranagar, Hyderabad to study the genetic divergence and various genetic parameters. There was a significant (P<0.01) difference between genotypes for all the characters, which revealed wide range of variability and high heritability for all the characters. The genetic advance as percent of mean was high for grain yield per plant (73.19%), ear height (51.05%), number of kernels per row (44.40%), plant height (43.46%), 100 grain weight (42.88%), ear length (30.79%), number of kernel rows per ear (25.23%), and ear girth (22.37%) indicating additive gene action for these traits. D2 analysis partitioned the forty three genotypes in to six clusters. The maximum inter cluster distance (39.38) was observed between cluster I and cluster V. Grain yield per plant (38.43%), plant height (14.29%), 100 grain weight (12.85%) and number of kernels per row (12.07%) contributed greatly towards diversity

Structural, Optical and Electrical Properties of Green Synthesis CdO Nanoparticles and Its Ag/CdO/P-Si Junction Diode Fabricated Via JNS Pyrolysis Techniqu

CdO nanoparticle is synthesized using green tea extract as solvent by microwave irradiation method. Its crystalline structure is confirmed by the well define peaks of powder XRD study. The surface morphology is analyzed by SEM and TEM spectrograph. The percentage composition of cadmium present in the synthesized material is confirmed by EDS study also presence of various functional groups is analysis using FTIR spectrum. The band gap energy of composed material is calculated with the help of cut off peak of diffused reflectance spectrum of UV study. The thermal conductance of the substance is increasing with increasing the temperature. The good rectifying character of CdO is explained with the help of I-V character study

Secured Data Retrieval System in Unfriendly Regions Using CP-ABE Based in Ad Hoc Disruption- Tolerant Networks

This paper mainly focuses on a secure data collection mechanism using CP-ABE for ad hoc DTNs where more than one key authority manages their attributes dynamically and independently. The Military environments like battlefield and hostile networks operate in ad hoc mode and they suffer isolated network connectivity. Deployment of Disruption-tolerant networks (DTN) enhances the connectivity between wireless devices carried by soldiers in battle field; this provides them to communicate effectively and share the information confidently. Cipertext -policy attribute based encryption (CP-ABE) is effective cryptographic technique to access control issues. Ad hoc network are decentralized and resource constrained networks, applying CP-ABE to such networks is a challenging issue, in turn it introduces new security and privacy issues related to attribute revocation, coordination of attributes, and key escrow. The major research issue is to achieve effective and secure communication in Delay-Tolerant Networks by implementing authorization policies and the policies update for secure data collection. We analyzed the proposed mechanism and applied to the disruption-tolerant military network to access the information securely

A high-precision interpolation method for pulsed radio signals from cosmic-ray air showers

Analysis of radio signals from cosmic-ray induced air showers has been shown to be a reliable method to extract shower parameters such as primary energy and depth of shower maximum. The required detailed air shower simulations take 1 to 3 days of CPU time per shower for a few hundred antennas. With nearly 60,000 antennas envisioned to be used for air shower studies at the Square Kilometre Array (SKA), simulating all of these would come at unreasonable costs. We present an interpolation algorithm to reconstruct the full pulse time series at any position in the radio footprint, from a set of antennas simulated on a polar grid. Relying on Fourier series representations and cubic splines, it significantly improves on existing linear methods. We show that simulating about 200 antennas is sufficient for high-precision analysis in the SKA era, including e.g. interferometry which relies on accurate pulse shapes and timings. We therefore propose the interpolation algorithm and its implementation as a useful extension of radio simulation codes, to limit computational effort while retaining accuracy

Monte-carlo simulation of the effective lunar aperture for detection of ultra-high energy neutrinos with LOFAR

Ultra-high-energy (UHE) cosmic neutrinos interacting with the Moon’s regolith generate particle showers that emit Askaryan radiation. This radiation can be observed from the Earth using ground-based radio telescopes like LOFAR. We simulate the effective detection aperture for UHE neutrinos hitting the Moon. Under the same assumptions, results from this work are in good agreement with previous analytic parameterizations and Monte Carlo codes. The dependence of the effective detection aperture on the observing parameters, such as observing frequency and minimum detection threshold, and lunar characteristics like surface topography have been studied. Using a Monte Carlo simulation, we find that the detectable neutrino energy threshold is lowered when we include a realistic treatment of the inelasticity, transmission coefficient, and surface roughness. Lunar surface roughness at large scales enhances the total aperture for higher observation frequencies (ν≥1GHz) but has no significant effect on the LOFAR aperture. However, roughness at scales small compared to the wavelength reduces the aperture at all frequencies.</p

Using pulse-shape information for reconstructing cosmic-ray air showers and validating antenna responses with LOFAR and SKA

The Low Frequency Array (LOFAR) is capable of measuring extensive air showers through their radio emission in the frequency range of 30–80 MHz, while the Square Kilometer Array (SKA) will be able to expand this range to 50–350 MHz. A very important characteristic of cosmic rays is the mass of the primary particle, which is associated with the atmospheric depth of the shower maximum (max). The standard max reconstruction procedure with LOFAR involves the use of a library of CORSIKA/CoREAS simulations for a specific measured event and uses the energy deposited to the ground in terms of radio fluence. In this study, to extract information about shower development, not only the energy fluence is considered but the possibility of using information from the pulse shape is investigated in both frequency ranges (30–80 MHz and 50–350 MHz). The study of the pulse shape through the pulse agreement of measured data and simulations also provides a way to diagnose the proper functioning of individual LOFAR dipoles