A Highly Robust Audio Monitoring System for Radio Broadcasting

Proposing a novel approach for monitoringsongs for the radio broadcasting channels is veryimportant for the interest of singers, writers andmusicians in the musical industry. Singers, writers andmusicians have a claim to intellectual property rightsfor their songs broadcast over all the radio channels.According to this intellectual property rights actsingers, writers and musicians should be paid for theirsongs broadcast over all the radio channels. Therefore wepropose a real time audio monitoring approach to solvethis problem which includes our own audio recognitionalgorithm. It is easy to recognize a song, when you providethe original high quality blueprint of the song as input. Butwe can’t expect such kind of audio input from radiochannels since lots of transformations are possible beforereaching the end user or listener. For example, addingenvironmental effects such as noise, adding commercialson the song as watermarks, playing more than one songas a chain without adding any silence between them,playing a part of the song, playing same song in variousspeeds and so on. These transformations cause change inthe uniqueness of particular song and make the problemeven more difficult. The algorithm we proposing is resistantto noise and distortion as well as it is capable of recognizingshort segment of song when broadcasting over the radiochannels. At the end of the processing our system generatesa descriptive report including title of the song, singer of thesong, writer of the song, composer of the song, number oftimes it was played and when it was played for all songs fora particular period for all radio broadcasting channels. Weevaluate our system against various types of real timescenarios and achieved overall higher level of accuracy(96%) at the end

A new chemical method for purification and surface modification of Sri Lankan vien graphite

Sri Lanka has its own demarcated possession for the high quality vein graphite containing 95-98 % of initial purity of carbon.Presently Sri Lankan vein graphite is exported as a cheap raw material without any value addition. The present study focuses to find a cost effective and convenient new chemical method for the graphite purification and to modify the graphite surface using alkali chloride solutions for improving performance of a graphite electrode (for negative electrode) of batteries. Collected vein graphite samples were powdered and prepared samples (10 g of <53 μm) were treated for acid digestion method with a mixture of 5 % of HF, Con.H2SO4& Con.HNO3. 3.50 g of portions graphite powders were separately mixed with 100 ml of 0.1% LiCl, 0.1% KCl and 0.1 % NaCl aqueous solutions for preparing of surface modified graphite. The carbon content of the Needle Platy Graphite (NPG) variety has the highest carbon content and the purity of the samples has been enhanced after acid digestion treatment by removing impurities. The FTIR analysis proved that many of impurity related functional group bands have been removed from the surface modified NPG.The Lithium, Sodium and Potassium Chloride coatings were capable to improve the electric conductivity performance

Analysis of contamination of blood cultures in a tertiary care hospital in Sri Lanka

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Molecular characterization and phylogenetic analysis of betasatellite molecules associated with okra yellow vein mosaic disease in Sri Lanka

Okra production in Sri Lanka has been severely affected by okra yellow vein mosaic disease (OYVMD), which is caused by begomoviruses and associated betasatellites. These betasatellite molecules commonly determine the development and severity of the disease. Therefore, knowledge about the genetic variability of betasatellites associated with OYVMD could assist okra breeding programs in the selection of resistant varieties. The present study aimed to characterize the betasatellite DNA sequences associated with OYVMD in Sri Lanka and to determine their phylogenetic relationships. Betasatellite DNA of six virus isolates from widely separated geographical locations were sequenced and compared with already reported begomovirus betasatellites. The betasatellite molecules have features common to other betasatellite DNAs: a conserved nonanucleotide TAATATTAC, a coding sequence for the protein βC1, an adenine rich region and a satellite conserved region. Nucleotide diversity among the isolates was relatively low (π = 0.034). A recombination event was detected at a specific region in the genome of all isolates. The isolates shared >96% sequence identity with bhendi yellow vein betasatellites reported from India and phylogenetic analysis confirmed their genetic relationship

Audio Music Monitoring: Analyzing Current Techniques for Song Recognition and Identification

when people are attaching or interesting in something, usually they are trying to interact with it frequently. Music is attached to people since the day of they were born. When music repository grows, people faced lots of challenges such as finding a song quickly, categorizing, organizing and even listening again when they want etc. Because of this, people tend to find electronic solutions. To index music, most of the researchers use content based information retrieval mechanism since content based classification doesn’t need any additional information rather than audio features embedded to it. As well as it is the most suitable way to search music, when user don’t know the meta data attached to it, like author of the song. The most valuable application of this audio recognition is copyright infringement detection. Throughout this survey we will present approaches which were proposed by various researchers to detect, recognize music using content base mechanisms. And finally we will conclude this by analyzing the current status of this era

Chitinases from pitcher fluid of <i>Nepenthes distillatoria</i>

Chitinases belong to a diverse family of enzymes among many other hydrolytic enzymes of the pitcher fluid of Nepenthes sp. There are no existing studies on identification of chitinases in Nepenthes distillatoria the only representative of the genus Nepenthes in Sri Lanka. In this study an assay procedure was developed and optimized to detect the chitinolytic activity in the pitcher fluid of N. distillatoria using colloidal Chitin Azure as the substrate. Crude Nepenthes pitcher fluid was subjected to DEAE Cellulose chromatography in an attempt to partially purify and separate chitinases. The optimum pH, temperature and incubation time for the chitinolytic activity were 5.0, 27 °C and 30 min, respectively. DEAE Cellulose Chromatography revealed the presence of more than one type of chitinases within the pitcher juice. Further studies are required to characterize and confirm the origin/s of these chitinases

Artificial neural network study of whole-cell bacterial bioreporter response determined using fluorescence flow cytometry.

Genetically engineered bioreporters are an excellent complement to traditional methods of chemical analysis. The application of fluorescence flow cytometry to detection of bioreporter response enables rapid and efficient characterization of bacterial bioreporter population response on a single-cell basis. In the present study, intrapopulation response variability was used to obtain higher analytical sensitivity and precision. We have analyzed flow cytometric data for an arsenic-sensitive bacterial bioreporter using an artificial neural network-based adaptive clustering approach (a single-layer perceptron model). Results for this approach are far superior to other methods that we have applied to this fluorescent bioreporter (e.g., the arsenic detection limit is 0.01 microM, substantially lower than for other detection methods/algorithms). The approach is highly efficient computationally and can be implemented on a real-time basis, thus having potential for future development of high-throughput screening applications