Texture Analysis and Classification Based on Fuzzy Triangular Greylevel Pattern and Run-Length Features

Your Texture analysis is one of the most important techniques used in the analysis and interpretation of images, consisting of repetition or quasi repetition of some fundamental image elements. The present paper derived Fuzzy Triangular Greylevel Pattern (FTGP) to overcome the disadvantages of LBP and other local approaches. The FTGP is a 2 x 2 matrix that is derived from a 3 x 3 neighborhood matrix. The proposed FTGP scheme reduces the overall dimension of the image while preserving the significant attributes, primitives, and properties of the local texture. From each 3 x 3 matrix a Local Grey level Matrix (LGM) is formed by subtracting local neighborhoods by the gray value of its center. The 2 x 2 FTGP is generated from LGM by taking the average value of the Triangular Neighbor Pixels (TNP) of the 3 x 3 LGM. A fuzzy logic is applied to convert the Triangular Neighborhood Matrix (TNM) in to fuzzy patterns with 5 values {0, 1, 2, 3 and 4} instead of patterns of LBP which has two values {0, 1}. On these fuzzy patterns a set of Run Length features are evaluated for an efficient classification. The proposed method is experimented with wide variety of textures, and exhibited with a high classification rate. The proposed FTGP with run length features shown its supremacy and efficacy over the various existing methods in classification of textures

Analysis of melt-textured YBCO with nanoscale inclusions

Recently, particles with the chemical composition Y2Ba 4CuMOx where M U, Nb, Zr, etc., and sizes in the range of 50 - 200 nm have been generated within the YBCO matrix of bulk, melt-processed superconductors in order to serve as effective flux pinning sites. By means of AFM and electron backscatter diffraction (EBSD) measurements, we analyse the spatial distribution and the size distribution of these nanoparticles within the superconducting YBCO matrix

Quantifying the Effect of Seasonal Variations on the Latent Fingerprint Residues Through Photoluminescence Spectroscopy

Perspiration fluctuates with the season. Body mass, humidity, temperature, and other factors affect perspiration. Due to higher temperatures, warmer seasons produce more perspiration in the individuals which is the opposite with colder seasons. Seasonal perspiration regulates body temperature in different climates. Due to seasonal and environmental factors, fingerprint residues are subject to variations. Photoluminescence and UV-VIS spectroscopy were used to evaluate fingerprint residues and their response with respect to seasonal variations. To test the hypothesis, 1600 latent fingerprint residues were collected under various conditions spanning the summer and winter seasons cycle for a year. The collected samples were subjected to ultraviolet (UV) light from 200nm to 1600nm to examine their absorption spectra. Further, their fluorescence intensities were measured using photoluminescence spectroscopy. The research's positive outcomes demonstrate that photoluminescence spectroscopy may accurately detect seasonal resonances on latent fingerprint residues, which can be termed seasonal markers

Photoluminescence Spectroscopy for Estimating the Age of the Latent Fingerprints: A New Potential Approach

This study examined variations in spectral absorption and emission intensity of latent fingerprints over time, employing UV-Vis spectroscopy and photoluminescence spectroscopy. There was noticeable absorption at 296nm on the samples, and the fluorescence emission intensity showed variations.  A total of 1600 samples from various categories were analyzed to validate this hypothesis. The emission intensity observed under photoluminescence spectroscopy varied over time, showing greater intensities in controlled female and male samples compared to the uncontrolled samples that were exposed to environmental conditions. The emission intensity of the controlled female (CF) sample was the highest at 6341168 CPS, followed by the controlled male (CM) sample at 1270240 CPS. On the other hand, the uncontrolled female (UF) sample exhibited an emission intensity of 5431940 CPS, while the uncontrolled male (UM) sample had an intensity of 100764 CPS.  This emission intensity variation proved to be an efficient age profiling marker for the latent fingerprints

Deployment of Mobile Ad-hoc Network Ticket Based QoS Routing Protocol for Healthcare

A Mobile Adhoc Network comprises of set of portable hosts which are equipped for corresponding with one another with no aid of base stations. MANET are quick evolving topology, broad exploration is going ahead to outline directing conventions for MANETs. The Ad hoc On-Demand Distance Vector convention concerns with most limited way steering and changing the courses powerfully in work space. Quality of Service (QoS) prerequisite issues are less tended to in MANETs and the motivation behind this paper is to address QoS directing in a MANET domain and concentrate principally on ticket based QoS steering convention to figure out course fulfilling certain data transmission and delay obliges. The essential thought is to utilize tickets to keep the quantity of route searching packets to abstain from flooding and to make courses progressively to accomplish proficient Quality of Service

Efficient Handwritten Digit Classification using User-defined Classification Algorithm

In automatic numeral digit recognition system, feature selection is most important factor for achieving high recognition performance. To achieve this, the present paper proposed system for isolated handwritten numeral recognition using number of contours, skeleton features, Number of watersheds, and ratio between the numbers of foreground pixels in upper half part and lower half-part of the numerical digit image. Based on these features the present paper designed user-defined classification algorithm for handwritten digit recognition. To find the effectiveness of the proposed features, these features are given as an input for standard classification algorithms like k–nearest neighbor classifier, Support Vector Machines and other classification algorithms and evaluate the results.  The experimental result proves that the proposed features are well suited for handwritten digit recognition for both user and standard classification algorithms. The novelty of the proposed method is size invariant

Rural finance policies for food security of the poor

The objective of IFPRI's multicountry research program on rural financial policies for food security of the poor is to identify policies and institutional arrangements that help the poor integrate themselves into sustainable savings and credit systems such that they have an increased capacity to invest, bear risk, and smooth consumption. The focus of the research on policy and program design and their effects on household investment and consumption requires field data collection at the institutional and household level. This paper presents the underlying conceptual framework and various methodological approaches that have been reviewed and tested by the team at IFPRI and at collaborating institutions. Methodologies are presented for analysis at the institutional level, mainly focusing on the determinants of the formation of financial institutions and the analysis of effects of program design on institutional conduct and performance, and at the household level, thereby addressing determinants of access to and participation in financial markets and related effects on household welfare.Food security Developing countries. ,Financial institutions. ,Households Economic aspects. ,

Personalized Web Search Using Browsing History and Domain Knowledge Based on Enhanced User Profile

Generic search engines are important for retrieving relevant information from web. However these engines follow the "one size fits all" model which is not adaptable to individual users. Personalized web search is an important field for tuning the traditional IR system for focused information retrieval. This paper is an attempt to improve personalized web search. User's Profile provides an important input for performing personalized web search. This paper proposes a framework for constructing an Enhanced User Profile by using user's browsing history and enriching it using domain knowledge. This Enhanced User Profile can be used for improving the performance of personalized web search. In this paper we have used the Enhanced User Profile specifically for suggesting relevant pages to the user. The experimental results show that the suggestions provided to the user using Enhanced User Profile ae better than those obtained by using a User Profile

Constraining Proton Lifetime in SO(10) with Stabilized Doublet-Triplet Splitting

We present a class of realistic unified models based on supersymmetric SO(10) wherein issues related to natural doublet-triplet (DT) splitting are fully resolved. Using a minimal set of low dimensional Higgs fields which includes a single adjoint, we show that the Dimopoulos--Wilzcek mechanism for DT splitting can be made stable in the presence of all higher order operators without having pseudo-Goldstone bosons and flat directions. The \mu term of order TeV is found to be naturally induced. A Z_2-assisted anomalous U(1)_A gauge symmetry plays a crucial role in achieving these results. The threshold corrections to alpha_3(M_Z), somewhat surprisingly, are found to be controlled by only a few effective parameters. This leads to a very predictive scenario for proton decay. As a novel feature, we find an interesting correlation between the d=6 (p\to e^+\pi^0) and d=5 (p\to \nu-bar K+) decay amplitudes which allows us to derive a constrained upper limit on the inverse rate of the e^+\pi^0 mode. Our results show that both modes should be observed with an improvement in the current sensitivity by about a factor of five to ten.Comment: 21 pages LaTeX, 2 figures, Few explanatory sentences and three new references added, minor typos corrected

Laboratory evaluation of a rapid IgG4 antibody test (BLF Rapid™) for bancroftian filariasis

At the end phase of the Global Programme to Eliminate Lymphatic Filariasis, antibody testing may have a role in decision-making for bancroftian filariasis–endemic areas. This study evaluated the diagnostic performance of BLF Rapid ™ , a prototype immunochromatographic IgG4-based test using BmSXP recombinant protein, for detection of bancroftian filariasis. The test was evaluated using 258 serum samples, comprising 96 samples tested at Universiti Sains Malaysia (in-house) and 162 samples tested independently at three international laboratories in the USA and India, and two laboratories in Malaysia. The independent testing involved 99 samples from Wuchereria bancrofti microfilaria or antigen positive individuals and 63 samples from people who were healthy or had other infections. The in-house evaluation showed 100% diagnostic sensitivity and specificity. The independent evaluations showed a diagnostic sensitivity of 84–100% and 100% specificity (excluding non-lymphatic filarial infections). BLF Rapid has potential as a surveillance diagnostic tool to make “Transmission Assessment Survey”–stopping decisions and conduct post-elimination surveillance