Articles

  1. COMPRESSIVE DATA GATHERING TECHNIQUE BY AVOIDING CORRELATED DATA IN WSNDownload Article

    *1Mr.S.Arun Kumar, *2Mr.T.VijayaKumar.

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    ABSTRACT Wireless sensor network (WSN) is a collection of sensors and limited number of mobile data collectors for data gathering in sensors. In such data gathering scheme, mobile data collectors will travel over the sensing area and collects the data from sensor nodes via short-range wireless communications. Polling points are defined for shortening the moving path of mobile collector. The proposed approach defines tour planning of mobile collectors, which will avoid the sensors producing correlated data within a particular cluster containing a polling point. Also to identify a new optimal polling point which overlooks the same efficiently. The correlated sensors are being checked constantly by spatially correlation method. After identifying the correlated sensors, the new polling points are identified and by avoiding the correlated sensors we will get the optimal polling points. By visiting the new polling points, the tour length of mobile collector is reduced and the number of polling points is also minimized, which extends the network lifetime. Index terms: Polling point, Mobile data collector, Network Tour Planning, Spatial Autocorrelation.

  2. GRADE CATEGORIZATION OF TUMOUR CELLS WITH STANDARD AND REFERENTIAL FRONTIER ALGORITHMDownload Article

    *1Ms.A.Banu

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    ABSTRACT Characterization of a brain tumor has an undoubted importance of the stages of initiations, in the medical ground. This report presents a novel method to sort out the tumors at different levels. Image processing techniques assist this terminology to eliminate the unproductive tasks of classifying and reduce the area under discussion. Background Separation, perimeter checks trim down processing regions, purging the total report of the patients. Established Standard and Growth Points over the tumor area would facilitate the characterization of shape, size and texture. Registered points label the tumor dated from the first stage. Corresponding points of later stages of the same patient would render the change in every aspect of the tumor under study. The proposed methodology is proven to be much efficient than other existing methodologies. The research involved a number of test cases, performance seemed to enhance in time required for classification. The decision of the system mentions the rate of growth and change in aspects straight enough with great accuracy and interpretability. Index terms: Tumor grading system, Classification, Area and Perimeter property, Growth points, RGP.

  3. ESTIMATION OF CARBON STOCKS IN ABOVE GROUND BIOMASS IN MUTHUPET MANGROVE, SOUTHEAST COAST OF INDIADownload Article

    *1Sivakumar Sankar, *2Krishnakumar Ponnambalam, *1Lakshumanan Chokkalingam

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    ABSTRACT Mangroves are defined as woody trees and shrubs that grow in places where river water mixes with seawater. The need of the study is selected quantification of terrestrial carbon and monitoring of these stocks over time is important for reasons of climate change mitigation. The anthropogenic responses to climate change have the potential to exacerbate the adverse effects of climate changes on mangrove ecosystems. Which leads mangrove system can also release large quantities of stored carbon and exacerbate global warming and other climate change causes. In order to carbon stock were estimated in Above Ground Biomass of different mangrove species and associated marshy vegetal parts. Mangroves and marshy vegetation were partitioned into leaves, stems and roots. The moisture, dry weight, mineral matter, organic matter and organic carbon content was estimated for mangrove and associated plant species. The moisture content varied from 43% to 88%,the lower percent of moisture content was observed in the Exoecaria agallocha leavesand high moisture content was observed in Sesuvium portulacastrum leaves.The dry matter falls between 13 to 64%, lowest level in Sesuvium portulacastrum and higher level in Exoecaria agallocha. Organic carbon varied between 45 to 54% for mangrove species and 30 to 54% for marshy vegetation.The dominant mangrove species of Avicennia marina mangrove occupied 45.9, 53.1 and 53.3% of organic carbon in their leaves, stems and roots respectively.

  4. LAND USE/LAND COVER STUDIES USING REMOTE SENSING AND GIS FOR MUTHUPETDownload Article

    Rajesh.J,Lakshumanan.C,Karthick.P,Sivakumar.S

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    Land Use/Land Cover Change has become an important Component in Current strategies for managing natural resources and monitoring environmental changes. This Project examines the use of GIS and Remote sensing in studying the Land use and Land cover in Muthupet from 2007 to 2012 so as to detect the changes that have been taken place in this status between these periods. This Project also reveals that the agricultural activity has been decreasing these years. With this data this has been found that the Agricultural Lands are decreasing at the coast of haphazard growth of population. This will help in maintaining the ecological balance and improving micro- Environment of the Region.

  5. CONTENT BASED IMAGE RETRIEVAL SYSTEM USING WAVELET FEATURE EXTRACTION BASED UPON HSV PROCESSDownload Article

    P.Monica Reddy,B. Naga Rajesh

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    The project proposes the image retrieval technique based on image contents using different wavelets. The need for efficient content-based image retrieval has increased tremendously in many application areas such as biomedicine, military, commerce, education, and web image classification and searching. Content-based Image Retrieval (CBIR) technology overcomes the defects of traditional text-based image retrieval technology, such as heavy workload and strong subjectivity. It makes full use of image content features (color, texture, shape, etc.), which are analyzed and extracted automatically by computer to achieve the effective retrieval Using a single feature for image retrieval cannot be a good solution for the accuracy and efficiency. The images format in the database is RGB format and due to color changes of the image affected by illumination especially for outdoor image acquisition, so RGB model gives different values in different environment that may reduce the retrieval performance but HSV model gives more stability to that affect since the color information of HSV space is distributed separately from the illumination part in different channels. The performance of the image retrieval is differentiated by different wavelet transforms because they provides the image information more effectively and GLCM is an old and classic method used to describe the texture in variety of image recognition fields. GLCM is useful since it can contain three major elements, texture information, histogram information and edge information. GLCM provides the rules that gray scale of a pair of pixels appears in a certain distance away in a certain direction. Finally, a practical results show the better retrieval performance based on wavelet Comparision and glcm features.

  6. DETECTION OF BRAIN TUMOURS USING IMPROVED PILLAR K-MEANS ALGORITHMDownload Article

    R.Sravani,S.Satish Kumar

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    This paper presents a new approach to image segmentation using improved Pillar K-means algorithm. This segmentation method includes a new mechanism for grouping the elements of high resolution images in order to improve accuracy and reduce the computation time. The system uses K-means for image segmentation optimized by the algorithm after Pillar. The algorithm considers the placement of pillars should be located as far from each other to resist the pressure distribution of a roof, as same as the number of centroids between the data distribution. This algorithm is able to optimize the K-means clustering for image segmentation in the aspects of accuracy and computation time. This algorithm distributes all initial centroids according to the maximum cumulative distance metric. This paper evaluates the proposed approach for image segmentation by comparing with K-means clustering algorithm and fuzzy c-means clustering and pillar k-means algorithm. Experimental results clarify the effectiveness of our approach to improve the segmentation quality and accuracy aspects of computing time.

  7. PARAMETRIC ANALYSIS ON EFFECTS OF CUTTING PARAMETERS OF TAGUCHI METHOD OVER SURFACE ROUGHNESS IN HARD TURNINGDownload Article

    1Mr. Andrew, 2T.G. Bharathi Kumaaran

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    This study focuses on optimizing turning parameters based on the Taguchi method to min-imize surface roughness (Ra and Rz). Experiments have been conducted using the L9 orthogonal array in a CNC turning machine. Dry turning tests are carried out on hardened AISI 4140 (51 HRC) with coated carbide cutting tools. Each experiment is repeated three times and each test uses a new cutting insert to ensure accurate readings of the surface roughness. The statistical methods of signal to noise ratio (SNR) and the analysis of vari-ance (ANOVA) are applied to investigate effects of cutting speed, feed rate and depth of cut on surface roughness. Results of this study indicate that the feed rate has the most sig-nificant effect on Ra and Rz. In addition, the effects of two factor interactions of the feed rate-cutting speed and depth of cut-cutting speed appear to be important. The developed model can be used in the metal machining industries in order to determine the optimum cutting parameters for minimum surface roughness.

  8. GEOMORPHOLOGY AND RESOURCE MAPPING OF TUTICORIN COAST, INDIA: A REMOTE SENSING AND GIS PERSPECTIVEDownload Article

    Veeramani.S, Mahendran.S

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    Coastal areas are facing serious threats from both manmade and natural disturbances; coastal erosion, sealevel variation, and cyclones are the major factors that alter the coastal topography and coastal resources of the island ecosystems. The impact of natural disturbances can be reduced by protecting the coast by green shielding. The present study was carried out to understand the coastal geomorphology and coastal resources of Tuticorin coast, India, using satellite image and to find suitable areas for bio shielding of this coast using mangroves and casuarinas. The study found satellite imageries, along with field survey, will be useful tools for delineating the coastal geomorphology and coastal resources and finding suitable areas for bio shielding. Keywords: Coastal geomorphology, Coastal Resources, Bio shielding, Gulf of mannar, Tuticorin

  9. THE SELECT NOVELS OF AMITAV GHOSH –A BRIEF ANNALYTIAL STUDYDownload Article

    N.Santhakumar

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    The greater part of the Indian English books of ongoing occasions composed by transient scholars have picked materials for their specialty from contemporary Indian socio-social circumstances. They additionally attempt the investigation of the connection between the East and the West. It has turned into a repeating subject in contemporary Indian English fiction as a result of the idea of the semantic medium the author employments. Anecdotal revamping of folklore and history has given new importance and potential outcomes to the Indian English novel works. Amitav Ghosh frequently comes back to Indian history and folklore. Midnight's Children, Shame and The Moor's Last Sigh manage the complex working of the Muslim mind made up for lost time in the verifiable and social web of the Indian subcontinent. The Circle of Reason, The Calcutta Chromosome and The Shadow Lines (1988) express the visually impaired take after of the English by the Indians, the experience between the west levelheadedness and Indian legend, and emptiness of national character and national limits. Amitav Ghosh, who won numerous honors including the Sahitya Akademi Award and the Prix Medicis Etrangere of France. Albeit less inclined to debate, he is in charge of delivering the absolute most melodious and astute takes a shot at the impact of expansionism on the local individuals. Keywords: Communication, Intellectual, Memories, Imagination, Political, Family, Portrayal.

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