812 research outputs found

    Experimental and theoretical studies of sandwich beams made of steel, concrete, and steel have shown interesting results.

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    Steel plates are subjected to axial and shear stresses to test theories of full and partial contact. Stud connections and frictional forces between steel plates and concrete at both the supports and load sites are included in the partial interaction research. Based on the partial interaction theory, the results of DSC beam testing are compared to the theoretical predictions. According to the findings, a theoretical approach may be used confidently to analyse fundamentally supported DSC beams of any shape. Various building techniques are described by terminology like "sandwich beams," "double skin composite structure," and "shear connections.

    A Comparative Study on Extraction, Purification and Characterization of Amylase Enzyme from Aspergillus niger and Aspergillus awamori

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    Amylase is an enzyme, which is produced by the microorganisms, which has many applications in today’s market. Amylase is required in digestion of carbohydrates into smaller units and eventually converting them into even smaller units such as glucose. It is also involved in inflammatory reaction, such as those caused by the release of histamine and similar substances. A number of digestive enzymes including amylase are required to produce fructose in large quantities [1]. Objective of our research is to study the comparative production of amylase enzyme from both the fungal strains of Aspergillus Niger and Aspergillus awamori which are used as the digestive enzymes in baby foods. In this study we have investigated the level of amylase produced by the each Aspergillus strain, isolation and characterization will be discussed in detail

    ANALYSIS OF FACIAL MARKS TO DISTINGUISH BETWEEN IDENTICAL TWINS USING NOVEL METHOD

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    Reliable and accurate verification of people is extremely important in a number of business transactions as well as access to privileged information. The biometrics-based methods assume that the physical characteristics of an individual (as captured by a sensor) used for verification are sufficiently unique to distinguish one person from another. But the increase in twin births has created a requirement for biometric systems to accurately determine the identity of a person who has an identical twin. Identical twins have the closest genetics-based relationship and, therefore, the maximum similarity between fingerprints is expected to be found among identical twins. They can’t be discriminated based on DNA. As one of the most successful applications of image analysis and understanding, face recognition has recently received significant attention, especially during the past several years. Identical twin face recognition is a difficult task due to the existence of a high degree of correlation in overall facial appearance. In this paper, we study the usability of facial marks as biometric signatures to distinguish between identical twins. We propose a multi scale automatic facial mark detector based on a gradient-based operator known as the fast radial symmetry transform. The transform detects bright or dark regions with high radial symmetry at different scales. Next, the detections are tracked across scales to determine the prominence of facial marks. Extensive experiments are performed both on manually annotated and on automatically detected facial marks to evaluate the usefulness of facial marks as biometric signatures. The results of our analysis signify the usefulness of the distribution of facial marks as a biometric signature

    Farmer to Farmer Spread of Fodder Crops--An Analysis on Mango Orchards in South India

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    India ranks first among world mango (Mangifera indica L.) producing countries, accounting for about 50% of world production. Karnataka in southern India is one of the important mango producing provinces of the country. The total area under mango crops in Karnataka is 160,000 ha of which 90,000 ha is in prime fruit yielding stage. In the year 2011-12 alone the area under mango crops has gone up by 10,000 ha (DoH, 2013). The usual planting distance followed by most farmers for mango is 10 m by 10 m. Intercropping, mainly with small millet is practiced until the mango trees attain a suitable height and develop canopy (at 5-6 years of age). The space between the mango tree rows which is not cultivated is estimated to be 67,500 ha (75%) and this provides ample scope for introduction of improved fodder crops in mango orchards through non-competitive land use. Formal methods of diffusion of fodder technologies in India are not only few but are also inefficient. In such cases diffusion can be enhanced through participation of farmers (Kormawa et al., 2004). However farmer to farmer dissemination of technologies is a neglected area of research (Grisley, 1994). A study on diffusing fodder technologies in interspaces of mango orchards of farmers in a participatory mode was conducted in Karnataka. One objective was to develop a method to improve the fodder availability using mango orchards by encouraging farmers to be partners for better feeding of livestock in the region

    A study to halt the Crack Growth by combined action of Crack Stop Hole and Carbon Fibre Reinforced Polymer(CFRP)Laminates

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    To arrest the crack propagation in structures subjected to fatigue load, drilling a hole ahead the crack tip is one of the most common repair technique. Due to site restrictions and geometrical constraints drilling an adequate size crack stop hole may not be possible. In such situations, to strengthen the undersized crack stop hole a carbon reinforced fiber polymer (CFRP) is attached to the structure. In the present study the effect of combined action of crack stop hole and CFRP laminates under static tensile loading is studied by using finite element analysis and validated by experimental studies. The finite element analysis is carried out in ANSYS 12.0 software and experimental studies are carried by universal testing machine (UTM)in Structural engineering laboratory, IIT Hyderabad

    Heart Rate Variability based Classification of Normal and Hypertension Cases by Linear-nonlinear Method

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    The aim of this study is to analyse and compare the heart rate variability (HRV) of normal and hypertension cases using time domain, frequency domain, and nonlinear methods. For short term HRV analysis, a five-minute electrocardiogram (ECG) of 57 normal and 56 hypertension subjects were recorded with prior verification of their clinical status by a cardiologist. Most time domain features of hypertension cases have clearly reduced values over normal subjects, frequency domain features, like power in different spectral bands, also have the distinguishable decreased values, whereas sympathovagal balance has clear edge over hypertension cases than normal cases. Nonlinear parameters of Poincare plot, approximate entropy and sample entropy, have higher values in normal cases when compared with hypertension cases. Support vector machine-based binary system classifies these two classes with 100 per cent accuracy and 100 per cent sensitivity when all time domain, frequency domain, and nonlinear features were used. It may work as a better predictor for in patients with hypertension.Science Journal, Vol. 64, No. 6, November 2014, pp.542-548, DOI:http://dx.doi.org/10.14429/dsj.64.786

    Combining Ability Studies in Cowpea for Dual Purpose Types

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    Cowpea (Vigna unguiculata (L) Walp.) is widely grown all over India more particularly in central and peninsular regions. Grains are consumed as food and the haulms are fed to livestock as a nutritious fodder. Cowpea is is equally important as nutritious fodder for livestock. The use of cowpea as a dual-purpose crop is attractive in mixed crop/livestock systems where land and feed are becoming increasingly scarce (Tarawali et al., 1997) especially in the dry season. Efforts at global level (IITA & ILRI) focused to develop medium-maturing (85-95 days), semi-erect, dual-purpose varieties with higher grain and fodder yields and with enhanced fodder quality
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