1,637 research outputs found

    NASA Thesaurus in Information Retrieval

    Get PDF
    A brief account of the NASA Thesaurus is presented. Some typical problems encounted in information search using the subject indexes to the Scientific and Technical Aerospace REports (STAR) and International Aerospace Abstracts which are compiled using NASA Thesaurus, are mentioned. Use of facet analysis and synthesis based on S R Ranganathan's subject structure model is recommended for use along with the thesaurus to secure precise and consistent search formulation for compound subjects

    Development of Diagnostic Leaf Nutrient Norms and Identification of Yield Limiting Nutrients Using DRIS in Rose Grown under Protected Conditions

    Get PDF
    Leaf samples collected from protected cultivation units of rose around Bangalore (Karnataka) and Hosur (Tamil Nadu), when flower buds were at pea size, were processed and analyzed for various nutrients and thus, the data bank was established. By using Diagnosis and Recommendation Integrated System (DRIS), nutrient expressions, which have shown higher variance and lower coefflcient of variation, were selected as norms viz, N/P(13.02), K/N(0.85), N/S(11.10), P/S(0.853), K/P(11.0), N/Ca(2.18), N/Mg(7.18) etc. In addition, five nutrient ranges have been derived using mean and standard deviation as low, deficient, optimum, high and excess for each nutrient to serve as a guide for diagnostic purpose. The optimum N ranged from 2.53 to 2.96% , P from 0.19 to 0.23%, K from 2.23 to 2.72%, Ca from 1.15 to 1.59%, Mg from 0.41 to 0.55% and S from 0.21 to 0.27%. Among the micronutrients, the optimum Zn ranged from 28 to 64 ppm, Fe from 176 to 240 ppm, Mn from 107 to 175 ppm and Cu from 13 to 21 ppm for roses under protected conditions. The diagnosis of nutrient imbalance (DRIS indices) indicated that the most common yield limiting nutrients were potassium and magnesium among the macronutrients and iron and zinc among the micronutrients in protected cultivation units of rose

    Diagnostic Soil Nutrient Standards and Identification of Yield Limiting Nutrients in Onion (Allium cepa) Using DRIS

    Get PDF
    Soil samples collected from a survey of fifty onion growing fields in Karnataka were analyzed for various macro and micronutrients for establishing a data bank to develop soil nutrient norms. By using Diagnosis and Recommendation Integrated System (DRIS), the whole population was divided into two sub-groups namely, low and high yielding and selected nutrient expressions that have shown higher variance and lower coefficient of variation as diagnostic norms, viz K/N (1.229), S/N (0.238), Ca/N (20.62), P/Zn (37.41), Mg/K (0.6.859), Fe/Mg (0.004), Fe/Zn (5.736) etc. In addition, five nutrient ranges have been derived using mean and standard deviation as low, deficient, optimum, high and excess for each nutrient to serve as a guide for diagnostic purpose. The optimum organic carbon ranged from 7.1 to 11.0 g kg-1, N from 115 to 178 mg kg-1, P from 26 to 38 mg kg-1 , K from 163 to 217 mg kg-1, Ca from 2199 to 3398 mg kg-1 , Mg from 802 to 1167 mg kg-1 and S from 34 to 43 mg kg-1. Among DTPA extractable micronutrients, the optimum iron ranged from 3.40 to 4.34 mg kg-1, manganese from 5.84 to 6.66 mg kg-1, zinc from 0.67 to 1.01 mg kg-1 and copper from 1.70 to 2.11 mg kg-1 for onion. The diagnosis of nutrient imbalance identified through DRIS indices indicated that organic carbon, phosphorus and zinc were the most common yield limiting nutrients in onion

    DRIS Norms for Identifying Yield-Limiting Nutrients in Sapota (Manilkara achras (Mill). Fosberg) Cv. Cricketball

    Get PDF
    Diagnosis and Recommendation Integrated System (DRIS) identified forty-five nutrient expressions as diagnostic norms from data colleted by surveying seventy-four sapota gardens in Karnataka and dividing the whole population into two sub-groups, namely, low and high yielding, during the year 2005-06. These expressions have shown higher variance and lower coefficient of variation found to have greater diagnostic precision, viz., N/K (0.989), Mg/N (0.264), N/Zn (0.117), Mg/K (0.258), Zn/K (8.609), S/Mg (0.666), Mg/Zn (0.031) etc. The Nutritional Balance Index indicated an overall imbalance of nutrients based on the sum of indices, irrespective of the sign. The diagnosis of nutrient imbalance through DRIS indices indicated that potassium, followed by nitrogen, was the most yieldlimiting nutrient among major nutrients and as were copper and zinc among micronutrients. In addition, five nutrient ranges were derived using mean and standard deviation as low, deficient, optimum, high and excess for each nutrient to serve as a guide for diagnostic purposes. Optimum N in the leaf ranged from 1.60 to 1.85%, P from 0.10 to 0.13%, K from 1.63 to 1.85%, Ca from 0.54 to 0.74%, Mg from 0.42 to 0.47% and S from 0.28 to 0.37%. Among micronutrients, optimum iron concentration in the leaf ranged from 113 to 161 ppm, Mn from 21-31 ppm, Zn from 14 to 17 ppm and Cu from 5 to 7 ppm for 'Criketball' variety of sapota

    Data Analysis and Validation of Acquired Temperature Data on Underwater Platform

    Get PDF
    Underwater missiles are launched from canister by hot gasses produced by a gas generator. Hot gasses eject the missile out of canister, positioned on an underwater platform in high seas at a depth of 50 m to 70 m. During development phase of submarine launched missile, maximum number of physical parameters related to platform and launching mechanism are acquired on a data acquisition system on-board platform and selected critical parameters are transmitted to control station in real time through an optical data communication link. Missile parameters are recorded on-board and transmitted to the control station by delayed transmission technique once the missile is out of water. Exit velocity of missile is very important parameter for the missile trajectory and range, which depends upon the heat loss in canister and annular gap pressure between missile and canister during the ejection process. Prediction of exit velocity is validated by heat loss calculation by measured temperature at different stations during the test. Temperature measurement is carried out by sensors mounted on the inner wall of canister and also by jumping type of temperature sensor, which measures canister gas temperature. In spite of all efforts, few sensors do not work as expected. It is important to measure various parameters according to instrumentation measurement plan. In case of temperature measurement, sometimes, it is required to predict temperature at location, where sensor was originally not mounted. To validate the recorded test data, another set of data is needed for which one has to wait till next test is conducted that may take years and practically impossible to ensure identical test setup and environmental condition. A mathematical approach to predict temperature at required location and to validate the recorded test data is presented. 

    Effects of Practicing Yogasanas and Physical Training on Selected Physiological Variables

    Get PDF
    The study was intended to substantiate the relative effects of yogasana practices and physical training on selected physiological variables. To achieve the purpose sixty male students aged 15 through 18 years were selected as subjects from Govt. Junior College, Ponnalur, Prakasam District, Andhra Pradesh. The subjects selected were equated on the basis of their cardiorespiratory endurance and segregated them into two groups: Group I – yogasana practice group and Group II – physical training group of thirty subjects each. The criterion variables confined to this study were systolic blood pressure, diastolic blood pressure and pulse rate. The experimental programme is five days a week for eight weeks in the morning session. The one-way analysis of variance was used to test the statistical significance. The results of the study reveal that there was no significant difference among the yogasana practices and physical training on systolic blood pressure, diastolic blood pressure and pulse rate. It suggests that practicing yogasanas is better as compared to isometric exercise training in improving the blood pressure and pulse rate

    Design and Development of Redeployable Underwater Data Communication Link for Defence Application

    Get PDF
    Testing of underwater system for defence application is carried out from submersible platform at specified depth. The underwater platform houses the article under test, equipment and instruments required to conduct the test and to control the platform. During development phase of defence systems, large numbers of sensors are mounted on the test article and data is collected to validate the design. Data acquisition system, video camera and high speed video cameras are positioned on the platform to record physical parameters and observe visually the performance of the article under evaluation. Since the data and video signals are parallely recorded on ship, the bandwidth demand for real-time data communication from underwater platform to control station is very high. The existing technology presently used for underwater communication has limitation of bandwidth and not suitable for defence application. This paper describes in detail the design and development of a re-deployable data communication link by laying a specially designed negatively buoyant fibre optic cable in high-sea from ship to underwater platform to provide higher bandwidth required for defence application. The link has been successfully used for sea state less than one during evaluation of underwater defence system. The availability of bandwidth from underwater platform to control system can be increased significantly by laying fibre optic cable in high sea. It also provides unlimited bandwidth for the above requirement.

    Development of Leaf Nutrient Norms and Identification of Yield-Limiting Nutrients Using DRIS in Sapota cv. Kalipatti

    Get PDF
    A survey was conducted in 106 orchards growing sapota cv. Kalipatti in Raichur, Dharwad and Belgaum districts of Northern Karnataka for developing leaf nutrient norms through Diagnosis and Recommendation Integrated System (DRIS) for nutrient management. Leaf samples collected were processed and analyzed for macro-and micronutrient status and a data bank was established. The entire population was divided into two sub-groups, namely, low-and high-yielding types to derive the norms. Fifty-five nutrient expressions were chosen as diagnostic norms using DRIS, which have shown higher variance and lower coefficient of variation that are found to have greater diagnostic precision viz., N/K (1.731), N/Ca (0.928), Mg/N (0.360), Fe/N (99.89), N/Cu (0.104), N/B (0.037), Mg/Ca (0.329), Ca/B (0.040), Mg/S (1.103), Fe/Mg (278.6), Mg/Zn (0.037), Mg/B (0.013), Fe/Zn (10.39) etc. The nutritional balance index (NBI) indicated an overall imbalance of nutrients based on sum of the indices, irrespective of sign. Diagnosis of nutrient imbalance through DRIS indices indicated that potassium, boron and zinc to be the most common yield-limiting nutrients in the orchards. In addition, five nutrient ranges/standards were derived using mean and standard deviation as deficient, low, optimum, high and excess for each nutrient, to serve as a guide for diagnostics. Optimum leaf N ranged from 1.51 to 2.09%, P from 0.06 to 0.15% and K from 0.83 to 1.44%. The optimum concentration ranged from 1.36 to 2.34% for Ca, 0.54 to 0.68% for Mg and 0.48 to 0.80 for S. Among the micronutrients, optimum Fe, Mn, Zn, Cu and B concentrations ranged from 109 to 206 mg kg-1, 49 to 99 mg kg-1, 13.3 to 21.9 mg kg-1, 3.76 to 9.10 mg kg-1 and 34.8 to 66.8 mg kg-1, respectively, for sapota cv. Kalipatti
    • …
    corecore