Hybrid Swarm Intelligence Method for Post Clustering Content Based Image Retrieval

AbstractContent Based Image Retrieval is one of the most promising method for image retrieval where searching and retrieving images from large scale image database is a critical task. In Content Based Image Retrieval many visual feature like color, shape, and texture are extracted in order to match query image with stored database images. Matching the query image with each image of large scale database results in large number of disc scans which in turns slows down the systems performance.The proposed work suggested an approach for post clustering Content Based Image Retrieval, in which the database images are clustered into optimized clusters for further retrieval process. Various clustering algorithms are implemented and results are compared. Among all, it is found that hybrid ACPSO algorithm performs better over basic algorithms like k-means, ACO, PSO etc. Hybrid ACPSO has the capability to produce good cluster initialization and form global clustering.This paper discusses work-in-progress where we have implemented till clustering module and intermediate results are produced. These resulted clusters will further be used for effective Content Based Image Retrieval

TIRSPEC : TIFR Near Infrared Spectrometer and Imager

We describe the TIFR Near Infrared Spectrometer and Imager (TIRSPEC) designed and built in collaboration with M/s. Mauna Kea Infrared LLC, Hawaii, USA, now in operation on the side port of the 2-m Himalayan Chandra Telescope (HCT), Hanle (Ladakh), India at an altitude of 4500 meters above mean sea level. The TIRSPEC provides for various modes of operation which include photometry with broad and narrow band filters, spectrometry in single order mode with long slits of 300" length and different widths, with order sorter filters in the Y, J, H and K bands and a grism as the dispersing element as well as a cross dispersed mode to give a coverage of 1.0 to 2.5 microns at a resolving power R of ~1200. The TIRSPEC uses a Teledyne 1024 x 1024 pixel Hawaii-1 PACE array detector with a cutoff wavelength of 2.5 microns and on HCT, provides a field of view of 307" x 307" with a plate scale of 0.3"/pixel. The TIRSPEC was successfully commissioned in June 2013 and the subsequent characterization and astronomical observations are presented here. The TIRSPEC has been made available to the worldwide astronomical community for science observations from May 2014.Comment: 20 pages, 21 figures, 2 tables. Accepted for publication in Journal of Astronomical Instrumentatio

ESTIMATION OF SWELLING PRESSURE OF EXPANSIVE SOILS REINFORCED WITH GRANULAR PILE

Constructing over expansive soils often severely damage the structure due to high swell-shrinkage behaviour and loss of strength owing to fluctuating water content. Due to the above reasons construction on or using expansive soils is considered to be unsafe. The technique of such soil, improvement by installation of granular piles (also known as stone columns) is popular to marshy lands, marine clays, loose sand, silty or clayey sand, and compressible soils. Granular piles improve swelling properties of expansive soil. In the present study six expansive soils were used. The one of them was the naturally available black cotton soil and others were derived from it by mixing bentonite in different proportions. Test beds of these soils were prepared at different initial moisture contents and the granular pile of sand was installed in these beds by the method of removal. Besides initial moisture content, properties of expansive soils, the spacing between the piles (expressed by s/d ratio; s = spacing between the piles and d = diameter of a pile) and the relative density of granular pile forming material were the variables of the study. Multiple linear regression analysis on the test data has been performed and equations for predicting swelling pressure of soil bed without pile and inclusion with granular pile have been developed

Dynamic spatio-temporal pattern discovery: a novel grid and density-based clustering algorithm

Clustering is a robust machine- learning technique for exploration of patterns based on similarity of elements over multidimensional data. Spatio-temporal clustering aims to identify target objects to mine spatial and temporal dimensions for patterns, regularity, and trends. It has been applied in humancentric applications, such as recommendation systems, urban development and planning, clustering of criminal activities, traffic planning, and epidemiology to identify the extent of disease spread. Although the existing research work in the field of clustering relies widely on partition and densitybased methods, no major work has been carried out to handle the spatiotemporal dimension and understand the dynamics of temporal variation and connectivity between clusters. To address this, our paper proposes an algorithm to mine clustering patterns in spatiotemporal dataset using an adaptive, dynamic hybrid technique based on grid and density clustering. We adopt spatio-temporal partitioning of the virtual grid for distribution of data and reducing distance computation and increasing efficiency. Grouping the higher density regions along with neighborhood cluster density attraction rate to merge the clusters. This method has been experimentally evaluated over the Indian earthquake dataset and found to be effective with clustering silhouette index up to 0.93

Friction Stir Welding of Austenitic Stainless Steel (AISI- 316) To Ti-6Al-4V and Its Joint Analyses

In this project, possibility of joining dissimilar AISI-316 stainless steel to Ti-6Al-4V by friction stir welding was studied. Firstly, similar plates of AISI-316 stainless steel were welded using PCBN tool. Secondly similar plates of Ti-6Al-4V were welded using the same tool. All welds were mechanically tested by tensile strength, hardness measurement and microstructural studies had been carried using optical microscopy and EBSD analysis. A defect free weld of AISI-316 was obtained with welding parameters of rotation speed 1100 RPM and welding speed of 8 mm/min. Ultimate tensile strength of this welded sample was obtained just above the base material with an increase in hardness in the nugget zone. In EBSD analysis of stir zone C {001} shear component in the stir zone (except for B {hkl} partial fiber in Region 2) in the present low stacking fault stainless steel indicates predominant shear texture along the direction

Multi-Purpose Cyclodextrin Metal-Complexes: Physicochemical and Theoretical Portfolio in Drug Domain

Organic-inorganic assemblies like host-guest Cyclodextrin (CDs) milieus and specific MOFs or metal complexes found to act as functionally attenuated soluble excipients to offer innate perpetually beneficial features due to dynamic portfolio in the domain of functional drugs. This is an insight aiming to evaluate the properties of CDs and their functionalities in sci-tech. The article aims to scrutinize the nature of the chemical aspects of CDs and to use the system in cheminformatics modules. In cheminformatics, the abstraction is performed to acquire knowledge about the compound properties of CDs. Phase solubility techniques, thermodynamic studies (G, H, S), stability constant, and QSAR can all be used to investigate the development of the cyclodextrin inclusion complex and heterocycles. The review mainly focuses on the synthesis, susceptivity and distinct structure of definitive metal complexes procure essentially from indigenous Cyclodextrin. The pattern and diversity in complexes with respect to cyclodextrin, which ranges from diverse motifs, were displayed

EFFECT OF PLANTING GEOMETRY AND SEEDLING DENSITY ON GROWTH AND YIELD OF SCENTED RICE UNDER SRI BASED CULTIVATION PRACTICES

The experiment was carried out at Research Cum Instructional Farm of the Indira Gandhi Krishi Vishwavidalaya, Raipur (C.G.) during kharif season of 2012 and 2013. The per cent increase in the grain yield and straw yield by 12 days old seedlings (25 cm x 25 cm + S2-3, T2)was 30.13 per cent over 21 days old seedlings. The treatment 25 cm X 25 cm with 2-3 seedlings (T2) was also produced maximum plant height (cm), yield parameters and ultimately the significantly highest grain yield (38.20 q ha-1) and straw yield (77.91 q ha-1)

VARIABILITY STUDIES IN M3 GENERATION IN BLACKGRAM (VIGNA MUNGO (L.)HEPPER)

In the present study, pure line seeds of black gram variety viz. T-9, TPU-4 and one promising genotype AKU-18 was treated with gamma irradiation (15kR, 25kR and 35kR) with the objective to assess the variability in M3 generation.. Highest GCV and PCV and high estimates of heritability were recorded for the characters sprouting percentage, number of pods plant-1 and grain yield plant-1 (g). High heritability accompanied with high genetic advance was recorded for number of pods plant-1 governed by additive gene effects and therefore selection based on phenotypic performance will be useful to improve character in future