1,519 research outputs found

    Generalised Measures of Useful Directed Divergence and Information Improvement with Applications

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    The present communication describes a new generalised measure of useful directed divergence based on m-l probability distributions, and a probability distribution closest to these probability distributions has been proposed. The technique has been applied in solving problems related to crops production, export, and industries. Further, a generalised measure of useful information improvement has been developed and its applications in the assessment of balanced military requirements for a country, in ranking and pattern recognition, have been discussed

    Visual service scape aesthetics and consumer response:a holistic model

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    The paper looks at the impact of visual servicescapes at consumer preferences. Using an experimental methodology, we try to understand the imapct of different servicescape aesthetic dimensions on emotional and congnitive responses of customers

    Genuine Forgery Signature Detection using Radon Transform and K-Nearest Neighbour

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    Authentication is very much essential in managing security. In modern times, it is one in all priorities. With the advent of technology, dialogue with machines becomes automatic. As a result, the need for authentication for a variety of security purposes is rapidly increasing. For this reason, biometrics-based certification is gaining dramatic momentum. The proposed method describes an off-line Genuine/ Forgery signature classification system using radon transform and K-Nearest Neighbour classifier. Every signature features are extracted by radon transform and they are aligned to get the statistic information of his signature. To align the two signatures, the algorithm used is Extreme Points Warping. Many forged and genuine signatures are selected in K-Nearest Neighbour classifier training. By aligning the test signature with each and every reference signatures of the user, verification of test signature is done. Then the signature can be found whether it is genuine or forgery. A K-Nearest Neighbour is used for classification for the different datasets. The result determines how the proposed procedure is exceeds the current state-of-the-art technology. Approximately, the proposed system’s performance is 90 % in signature verification system

    Modelling chaos in asymmetric optical fibres

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    A ray dynamical approach is developed for the study of large-core asymmetric step index fibres (SIF), especially those made from chalcogenide glasses (ChGs) which can exhibit very high refractive index, large numerical aperture, and which are transparent at mid-infrared wavelengths. The model allows for deformations of the SIF away from concentric circular structures, and for the light rays captured by the fibre to behave chaotically within the asymmetric boundaries of the fibre. Chaotic and periodic rays can be classified by the Poincaré surface of sections (SOSs). In the model, the ray dynamics in the SIF are approximated by dividing the SOSs into pixels; the construction of a transfer matrix stores all the mapping probabilities. The light intensity distribution in the SOSs is efficiently propagated using the constructed transfer matrix, providing a viable alternative to propagating all the rays in the SIF by brute force ray tracing. The model enables the rapid calculation of the power accumulated in the fibre core following an arbitrary excitation

    Effect of integrated nutrient management on growth and productivity of Withania somnifera (L.) Dunal in Kymore Plateau and Satpura hills of Madhya Pradesh, India

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    The field experiment was carried out at the Dusty Acres Farm, Jawaharlal Nehru Krishi Vishwa Vidyalaya (JNKVV), Jabalpur, Madhya Pradesh to study the effect of integrated nutrient management for growth and yield of Withania somnifera (L.) Dunal (Variety: Jawahar Ashwagandha-134). Tallest plants (49.35 cm) were observed at harvest stage, whereas higher number of branches per plant (5.78) of W. somnifera was observed at 90 DAS with T11, respectively. The mean number of leaves per plant (125.40) and LAI (10.345) of W. somnifera was higher at 90 DAS with T11. Mean CGR was maximum (2.536 g m-2 week-1) and mean RGR was highest (0.098 gg-1 day-1) of W. somnifera at 90 DAS and thereafter decline at 120 DAS and harvest stage with T11. Whereas, mean dry matter (1392.60 kg/ha) production of W. somnifera was higher at harvesting stage of crop with T11. Significantly higher mean root length (16.30 cm), root girth (2.26 cm) and mean dry root yield (612.8 kg/ha) of W. somnifera was recorded under T11 than the rest of treatments. Mean number of berries per plant (30.78) and mean number of seeds per berry (194.17) of W. somnifera were significantly higher under T11. Higher mean seed yield (62.6 kg/ha) and harvest index (43.61%) of W. somnifera was observed under T11 as compared to other treatments. Therefore, 100% recommended dose of NPK through fertilizers along with vermicompost (2.5 t/ha), FYM (5.0 t/ha) and ZnSO4 20kg/ha (T11) followed by 50% recommended dose of NPK through fertilizers along with vermicompost (2.5 t/ha), FYM (5.0 t/ha) and ZnSO4 20kg/ha (T14) and 100% recommended dose of NPK through fertilizers along with vermicompost (2.5 t/ha) and ZnSO4 20kg/ha (T10) were found to be better integrated nutrient management for the cultivation of W. somnifera

    EFFECT OF RASONADI KWATH IN THE MANAGEMENT OF RHEUMATOID ARTHRITIS: A REVIEW

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    Rheumatoid arthritis is a most common persistent inflammatory arthritis of unknown etiology marked by symmetric, peripheral poly arthritis and often result in joint damage and physical disability. Arthritis is always associated with arthralgia. It is 1.0-1.5% with a female to male ratio of 3:1 functional capacity decrease most rapidly at the beginning of disease and the function state of patients in their first year. R.A. Etiology like Immunological factor (HLA-DRB1), Hormonal factor, contraceptives pills, is also associated with a worse disease outcome in R.A. Particularly in genetically predisposed individuals, some environmental antigen trigger, probably a virus, stimulates the production of autoantibodies (IgM rheumatoid factor) against the body, own IgM immunologlobins. This process can become self perpetuating. The prominent feature is the formation of immune complexes. within the joint resulting from tissue damage. These complex activate complement and attract neutrophils. Phagocytosis of immune complexes by neutrophils leads to release of chemical mediators of inflammation. Continued inflammation stimulates the formation of a proliferative synovitis. This hypertrophic granulation tissue is called pannus. This process is responsible for the causing joint erosions. In Ayurveda it is clinically correlated with Aamvata. According to Bhavprakash Beautiful composition is given in Aamvata chikitsa 26th chapter Rasonadi Kwath. Conceptually it is play very effective role because of its Sothhara, Vedna-sthapana, Kapha-vatashamak, Deepan-Pachan, Anuloman, Shoola-prashman, and also Shunthi is Uttam Aama pachak. The aim of this article is to provide a management for RA by Rasonadi Kwath

    Adhesive stresses in axially-loaded tubular bonded joints - Part II: development of an explicit closed-form solution for the Lubkin and Reissner model

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    The literature presents several analytical models and solutions for single- and double-lap bonded joints, whilst the joint between circular tubes is less common. For this geometry the pioneering model is that of Lubkin and Reissner (Trans. ASME 78, 1956), in which the tubes are treated as cylindrical thin shells subjected to membrane and bending loading, whilst the adhesive transmits shear and peel stresses which are a function of the axial coordinate only. Such assumptions are consistent with those usually adopted for the flat joints. A former investigation has shown that the L-R model agrees with FE results for many geometries and gives far better results than other models appeared later in the literature. The aim of the present work is to obtain and present an explicit closed-form solution, not reported by Lubkin and Reissner, which is achieved by solving the governing equations by means of the Laplace transform. The correctness of the findings, assessed by the comparison with the tabular results of Lubkin and Reissner, and the features of this solution are commente

    Experimental Investigation on Clay Bricks Using Babul Sawdust Bricks

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    The construction practices of today demands production of alternative building materials, which consume less energy and can be used for construction. One such material is the babul tree sawdust bricks. In this work, the babul sawdust is prepared using the locally available babul tree in India. Hence, an attempt is made to stabilize these blocks using clay and sawdust. The saw dust percentage has been varied from 0 to 50% by weight. The results show the variation in properties such as compressive strength, initial rate of absorption and water absorption are studied and compared

    The path forward cheminformatics-driven reliable predictions for mixtures

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    UID/QUI/50006/2020 ERC-2016-CoG 725034Deep eutectic solvents (DES) are often regarded as greener sustainable alternative solvents and are currently employed in many industrial applications on a large scale. Bearing in mind the industrial importance of DES—and because the vast majority of DES has yet to be synthesized—the development of cheminformatic models and tools efficiently profiling their density becomes essential. In this work, after rigorous validation, quantitative structure-property relationship (QSPR) models were proposed for use in estimating the density of a wide variety of DES. These models were based on a modelling dataset previously employed for constructing thermodynamic models for the same endpoint. The best QSPR models were robust and sound, performing well on an external validation set (set up with recently reported experimental density data of DES). Furthermore, the results revealed structural features that could play crucial roles in ruling DES density. Then, intelligent consensus prediction was employed to develop a consensus model with improved predictive accuracy. All models were derived using publicly available tools to facilitate easy reproducibility of the proposed methodology. Future work may involve setting up reliable, interpretable cheminformatic models for other thermodynamic properties of DES and guiding the design of these solvents for applications.publishersversionpublishe
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