543 research outputs found

    MICROANGIOGRAM VIDEO COMPRESSION USING ADAPTIVE PREDICTION

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    Coronary angiography is an X-ray examination of the heart\u27s arteries. This is an essential technique for diagnosis of heart damages. Image sequences from digital angiography contain areas of high diagnostic interest. Loss of information due to compression for regions of interest (ROI) in angiograms is not tolerable. Since Commercially available technology such as JPEG and MPEG do not satisfy medical requirements due to their severe blockartifacts. In this paper, a new compression algorithm that achieves high compression ratio and excellent reconstruction quality for video rate or sub-video rate angiograms is developed. The proposed algorithm exploits temporal spatial and spectral redundancies in backward adaptive fashion with Extremely low side information. An experimental result shows that the proposed scheme provides significant improvements in compression efficiencies

    Assessing the Impact of Religions and Castes on Population Fertility in an EAG District of India

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    Culture and subculture have given an imprint on social and economic development. Alongside, it has an impact on different aspects of social change and the extent of modernisation in a region. The present study investigates the role of religion and caste in determining the fertility and the causes responsible for religious and caste fertility differential in Sagar district. This district is geographically located in the state of Madhya Pradesh.  To examine the contribution of religion and caste on a change in fertility in temporal scale, both primary and secondary data have been collected and were used for the analysis of the results of this study. The primary data, which was collected through a field survey, were conducted in the study area, and the secondary data were obtained from the Census of India (1981-2011). In order to receive more accurate results, statistical techniques—Multiple Classification Analysis, Logistic Regression Analysis and Decomposition Analysis have been applied. To find out the role of individual socioeconomic characteristics on religious fertility, Multiple classification analysis technique has been used in this study and Logistic regression analysis was applied to probe the likelihood of contraception adoption by the various socioeconomic backgrounds, while, Decomposition analysis has been conducted to probe the religious and caste composition change on temporal scale fertility change. The findings demonstrate that the Muslim and Scheduled population (Scheduled Castes and Scheduled Tribes) have very high fertility than that of the other segments of society. Moreover, the inclination of fertility transition (from high to low) among other religions (Christians, Sikh and Jain) begins earlier than that of the Hindus, Muslims and Scheduled population. As per the decomposition analysis, the share of Hindu population was more prominent in reducing the fertility which gradually decreased from the decade 1981-91 to 2001-11, while the share of the schedule population and others religions have dramatically decreased during the period.  On the other hand, the role of scheduled population and Muslim community has phenomenally increased for changing fertility behaviour. The analysis of the study suggests that education and adequate employment opportunities have reduced the role of religion and caste on fertility in the study area. &nbsp

    Carer Supports in Reading-Writing for Children with Learning Difficulties: An Exploratory Cross-Sectional Pilot Survey

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    When carers are involved in the reading-writing activities of their children at home, their academic performance shows improvement. In this study, a descriptive exploratory survey research design is used to evaluate the nature, type, length, quality, quantity, extensity, and intensity of such carer supports. Following a six-step tool development process, including a review of the relevant tools, and expert validation, an investigator-designed 10-item unstructured questionnaire was administered through open-ended interviews with a random sample of 143 carers of 120 students (comprised of 60 boys and 60 girls in the age group of 6-15 years) suspected of academic difficulties. The derived data in the form of yes/no responses and descriptive narrations by carers was recorded, content-analyzed, coded, scored, and collaboratively evaluated as frequency counts, percentages, and inferential non-parametric statistics. The results were analysed for key parameters like (i) place of study; (ii) time of study; (iii) study materials; (iv) initiation to study; (v) availability of support; (vi) timetable or curriculum; (vii) supervision; (viii) extracurricular activities; (ix) gadget use; and, (x) future goals. The findings are profiled, discussed, and highlighted along with recommended remedies in light of their implications or utility for reading-writing in such affected children. Keywords: Parents, home settings, study habits, gadget use DOI: 10.7176/JEP/14-24-05 Publication date:August 31st 202

    Transport Anisotropy And Percolation In The Two-Dimensional Random-Hopping Model

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    We consider hopping transport on an anisotropic two-dimensional square lattice. The displacements parallel to one axis are governed by uniform, nearest-neighbor hopping rates c, while the displacements parallel to the other axis are governed by static but spatially fluctuating rates wn. Adapting a new class of generating functions recently introduced for the random-trapping problem, we are able to obtain expressions for the mean-square displacement in the fluctuating direction through an exact decoupling of the effects due to displacements in the uniform direction. The resulting expressions for the low-frequency diffusion coefficient D(ε) are exact in the limits c →0 [D(0)=1/w-1] and c → ∞ [D(0)=〈w〉]. Moreover, when the condition of long-time isotropy is imposed we obtain expressions which are, to lowest order in the fluctuations, identical to results obtained in the effective-medium approximation for the square lattice with fluctuating rates in both directions. The present method offers the possibility of systematic improvements to the effective-medium results for the dc conductivity and frequency corrections

    Physical layer impairments based optical routing

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    In optical networks, physical layer impairments (PLIs) incurred by non-ideal optical transmission media, accumulates along the optical path. The overall effect of PLIs determines the feasibility of the light-paths. It is important to understand the process that provide PLI information to the central manager and use this information efficiently to compute feasible routes and wavelengths. Based on the PLI impairments like fiber attenuation, chromatic dispersion ,cross talk, amplifier spontaneous noise and polarization mode dispersion, which reflects the Quality of service, factors (Q-Factor); In this project we worked about both linear and non linear physical layer impairments and calculated parameters like power loss , channel capacity and Quality factor of all possible paths. From that we proposed centralized PLI based routing algorithm is proposed for the selection of data-paths

    Chemical Characterisation of Bulk and Melt-spun Ribbons of NiMnIn alloy using Inductively Coupled Plasma Optical Emission Spectrometry

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    Method development for the analysis of NiMnIn, a new magnetocaloric effect (MCE) material using inductively coupled plasma optical emission spectrometry (ICPOES) is discussed. Spectral interference of Ni and Mn on the analysis of In were studied. The process of method validation was carried out using various analytical techniques like conventional wet chemical techniques and instrumental techniques such as atomic absorption spectrometry. All the techniques show a close agreement in values, thus this method could be applied for regular analysis of NiMnIn alloys. A comparative chemical analysis of bulk and melt-spun ribbons of this alloy is also discussed.Defence Science Journal, 2011, 61(3), pp.270-274, DOI:http://dx.doi.org/10.14429/dsj.61.39

    Effect of Ag+ ion Concentration on the Reaction Kinetics and Shape of Nanoparticles Synthesised by Green Chemical Approach

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    The effect of varying Ag+ ion concentration on the green chemical reaction with a fixed tea aliquot concentration has been studied in detail with the help of UV-visible absorption spectra. With increase in the concentration of Ag+ solution the position of surface plasmon band systematically increased from 435 nm – 450 nm. The reaction followed first order kinetics and the rate of reaction increased in a linear fashion with k = 3.54 x 10-4 min-1 for 0.5 mL to k = 1.86 x 10-3 min-1 for 3.0 mL Ag+ solution. X-ray diffraction patterns showed an enhanced (200) reflection for 3.0 mL Ag sample. The shape of Ag nanoparticles could be effectively tuned from spherical to cuboid with increase in silver content as evidenced from scanning electron and transmission electron micrographs. The average particle size of Ag NPs increased from 25 nm to 55 nm with increase in the Ag+ content of the reaction
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