67 research outputs found

    Layout design of user interface components with multiple objectives

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    A multi-goal layout problem may be formulated as a Quadratic Assignment model, considering multiple goals (or factors), both qualitative and quantitative in the objective function. The facilities layout problem, in general, varies from the location and layout of facilities in manufacturing plant to the location and layout of textual and graphical user interface components in the human–computer interface. In this paper, we propose two alternate mathematical approaches to the single-objective layout model. The first one presents a multi-goal user interface component layout problem, considering the distance-weighted sum of congruent objectives of closeness relationships and the interactions. The second one considers the distance-weighted sum of congruent objectives of normalized weighted closeness relationships and normalized weighted interactions. The results of first approach are compared with that of an existing single objective model for example task under consideration. Then, the results of first approach and second approach of the proposed model are compared for the example task under consideration

    Coconut-growing soils of Kerala: 2. Assessment of fertility and soil related constraints to coconut production

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    Growth, productivity and health of coconut plantations in humid tropics are influenced by soil qualities. Fertility of coconut-growing soils of Kerala was assessed by analysing samples drawn from the distinct agro-ecological regions of the state: Central and Eastern Palakkad, Northern Kerala, Central Kerala and Southern Kerala, Onattukara sandy plain and coastal sandy plain. The strongly acid soils of Northern and Central Kerala and Onattukara sandy plain are unfavorable for plant nutrient availability and microbial processes. Surface and sub-soils of Central Kerala and sandy plains have low levels of organic carbon. Available phosphorus was high in soils of Southern Kerala and Onattukara sandy plain. Plant available potassium was not adequate in these coconut-growing soils. The nutrient levels in soils of Central Kerala and sandy plain were extremely low. The same pattern was true for secondary nutrients calcium and magnesium. Soils of all regions have adequate levels of available sulphur, iron and manganese. Copper and zinc deficiency was recorded for laterite soils of central region and sandy soils of Onattukara and coastal plain. Plant available boron was deficient in all regions except for the soils of Southern Kerala. Molybdenum levels were marginal in coconut growing soils, except for the soils of Palakkad. Overhead climate and soil moisture availability does not constrain the palm in the state except for Eastern Palakkad where irrigation during dry period is an absolute necessity. The extensive areas of midland laterites and Onattukara sandy plain with strong acid reaction and aluminium in soil solution severely constrain coconut. The acid soils also suffer from deficiencies of potassium, calcium, magnesium, copper, zinc and boron. These soil related constraints affect coconut production significantly and alleviation of the same through liming and adequate application of deficient nutrients can ensure satisfactory yields from the palm

    National fruit catalogue of tropical fruit tree diversity (Mangifera, Citrus and Garcinia)

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    The Indian sub-continent is extremely rich in its plant wealth. It is one among the twelve mega diversity centers in the world, and is also one of the eight centers of origin of cultivated plants and areas of diversity of their wild relatives as classified by Vavilov. In order to protect the diversity of Tropical Fruit Tree Genetic Resources (TFTGR) in situ and through on farm conservation through sustainable management practices which would benefit the rural communities and to develop the capacity and leadership skills for managing this diversity, Bioversity International along with ICAR is executing United Nations Environment Programme (UNEP) funded by Global Environment Facility (GEF). This project is being operated in five sites, namely, Amravati (Maharashtra), Chittoor (Seemandhra/Andhra), Malihabad (U.P.), Pusa (Bihar) and Sirsi (Karnataka) on three fruit crops viz., Mango, Citrus and Garcinia. A great amount of diversity has been assembled in Farmers’ fields in situ as well as in gene banks of the ICAR institutes. The identification of the unique varieties of these crops along with the details of the Custodian Farmers (CF) has been documented in the form of a catalogue entitled “National Fruit Catalogue of Tropical Fruit Tree Diversity (Mangifera, Citrus and Garcinia). The catalogues lists 121 mango varieties, 21 Citrus (Pummelo, Lime, lemon, Sweet Orange and Mandarin Orange) and two Garcinia indica. Efforts have been made to register the unique mango varieties through the Protection of Plant Varieties and Farmers’ Rights Authority (PPV&FRA). This is a parallel of the UPOV operating in Europe. Thus the registration of the varieties would benefit the farmers/communities as they would become the legal owners of this

    Proximity effect at superconducting Sn-Bi2Se3 interface

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    We have investigated the conductance spectra of Sn-Bi2Se3 interface junctions down to 250 mK and in different magnetic fields. A number of conductance anomalies were observed below the superconducting transition temperature of Sn, including a small gap different from that of Sn, and a zero-bias conductance peak growing up at lower temperatures. We discussed the possible origins of the smaller gap and the zero-bias conductance peak. These phenomena support that a proximity-effect-induced chiral superconducting phase is formed at the interface between the superconducting Sn and the strong spin-orbit coupling material Bi2Se3.Comment: 7 pages, 8 figure

    Centrality Dependence of the High p_T Charged Hadron Suppression in Au+Au collisions at sqrt(s_NN) = 130 GeV

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    PHENIX has measured the centrality dependence of charged hadron p_T spectra from central Au+Au collisions at sqrt(s_NN)=130 GeV. The truncated mean p_T decreases with centrality for p_T > 2 GeV/c, indicating an apparent reduction of the contribution from hard scattering to high p_T hadron production. For central collisions the yield at high p_T is shown to be suppressed compared to binary nucleon-nucleon collision scaling of p+p data. This suppression is monotonically increasing with centrality, but most of the change occurs below 30% centrality, i.e. for collisions with less than about 140 participating nucleons. The observed p_T and centrality dependence is consistent with the particle production predicted by models including hard scattering and subsequent energy loss of the scattered partons in the dense matter created in the collisions.Comment: 7 pages text, LaTeX, 6 figures, 2 tables, 307 authors, resubmitted to Phys. Lett. B. Revised to address referee concerns. Plain text data tables for the points plotted in figures for this and previous PHENIX publications are publicly available at http://www.phenix.bnl.gov/phenix/WWW/run/phenix/papers.htm

    The PHENIX Experiment at RHIC

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    The physics emphases of the PHENIX collaboration and the design and current status of the PHENIX detector are discussed. The plan of the collaboration for making the most effective use of the available luminosity in the first years of RHIC operation is also presented.Comment: 5 pages, 1 figure. Further details of the PHENIX physics program available at http://www.rhic.bnl.gov/phenix

    Formation of dense partonic matter in relativistic nucleus-nucleus collisions at RHIC: Experimental evaluation by the PHENIX collaboration

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    Extensive experimental data from high-energy nucleus-nucleus collisions were recorded using the PHENIX detector at the Relativistic Heavy Ion Collider (RHIC). The comprehensive set of measurements from the first three years of RHIC operation includes charged particle multiplicities, transverse energy, yield ratios and spectra of identified hadrons in a wide range of transverse momenta (p_T), elliptic flow, two-particle correlations, non-statistical fluctuations, and suppression of particle production at high p_T. The results are examined with an emphasis on implications for the formation of a new state of dense matter. We find that the state of matter created at RHIC cannot be described in terms of ordinary color neutral hadrons.Comment: 510 authors, 127 pages text, 56 figures, 1 tables, LaTeX. Submitted to Nuclear Physics A as a regular article; v3 has minor changes in response to referee comments. Plain text data tables for the points plotted in figures for this and previous PHENIX publications are (or will be) publicly available at http://www.phenix.bnl.gov/papers.htm

    Predicting Academic Performance: A Systematic Literature Review

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    The ability to predict student performance in a course or program creates opportunities to improve educational outcomes. With effective performance prediction approaches, instructors can allocate resources and instruction more accurately. Research in this area seeks to identify features that can be used to make predictions, to identify algorithms that can improve predictions, and to quantify aspects of student performance. Moreover, research in predicting student performance seeks to determine interrelated features and to identify the underlying reasons why certain features work better than others. This working group report presents a systematic literature review of work in the area of predicting student performance. Our analysis shows a clearly increasing amount of research in this area, as well as an increasing variety of techniques used. At the same time, the review uncovered a number of issues with research quality that drives a need for the community to provide more detailed reporting of methods and results and to increase efforts to validate and replicate work.Peer reviewe

    A Review of Emerging Technologies and Future Fabrics for Extreme Cold

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    Human comfort, safety, and performance are severely hampered by extremely cold environments, necessitating the ongoing development of innovative fabric technologies. The ability of materials to keep people warm is crucial, but conventional fabrics frequently have drawbacks in terms of comfort, durability, and thermal performance. To trace the development of fabric technologies insights from historical perspectives are drawn to trace the evolution of fabric technologies and key challenges highlighting their crucial impact on fabric performance in extremely cold situations. Design considerations are explored to improve comfort, movement, and protection by emphasizing the importance of layering systems. Standardized testing methods for the evaluation of fabric performance in cold environments are delved into. These evaluation criteria will be reliable and effective for future fabric solutions in extremely cold environments. Finally, the actual case studies are presented to show how emerging technologies can be successfully used in extremely cold environments

    Six Sigma Project Selection Using Fuzzy TOPSIS Decision Making Approach

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    Six Sigma is considered as a logical business strategy that attempts to identify and eliminate the defects or failures for improving the quality of product and processes. A decision on project selection in Six Sigma is always very critical; it plays a key role in successful implementation of Six Sigma. Selection of a right Six Sigma project is essentially important for an automotive company because it greatly influences the manufacturing costs. This paper discusses an approach for right Six Sigma project selection at an automotive industry using fuzzy logic based TOPSIS method. The fuzzy TOPSIS is a well recognized tool to undertake the fuzziness of the data involved in choosing the right preferences. In this context, evaluation criteria have been designed for selection of best alternative. The weights of evaluation criteria are calculated by using the MDL (modified digital logic) method and final ranking is calculated through priority index obtained by using fuzzy TOPSIS method. In the selected case study, this approach has rightly helped to identify the right project for implementing Six Sigma for achieving improvement in productivity
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