222 research outputs found

    Inference for Step-Stress Partially Accelerated Life Test Model with an Adaptive Type-I Progressively Hybrid Censored Data

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    Consider estimating data of failure times under step-stress partially accelerated life tests based on adaptive Type-I hybrid censoring. The mathematical model related to the lifetime of the test units is assumed to follow Rayleigh distribution. The point and interval maximum-likelihood estimations are obtained for distribution parameter and tampering coefficient. Also, the work is conducted under a traditional Type-I hybrid censoring plan (scheme). A Monte Carlo simulation algorithm is used to evaluate and compare the performances of the estimators of the tempering coefficient and model parameters under both progressively hybrid censoring plans. The comparison is carried out on the basis of mean squared errors and bias

    Combining ability and heterosis for yield, its component traits and some grain quality parameters in rice (Oryza sativa L.)

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    The experiment was conducted to estimate combining ability and heterosis for yield, yield attributing traits and few grain quality parameters in rice. The crosses were made among three CMS lines i.e., IR58025A, Pusa6A and IR68897A and seven pollen parents viz., Sarjoo-52, Jaya, Sasyashree, Swetha, HUR 5-2, PR-106 and BPT 5204. Twenty one hybrids were generated in line x tester design. The superior hybrids were identified on the basis of combining ability effect and heterosis. Cross combination IR68897A/Jaya and IR68897A/BPT 5204 exhibited good x good parental GCA effects suggesting that there is additive x additive type of gene action. The cross IR68897A/Jaya showed highest positive SCA effect. The higher magnitude of heterosis for all the yield and quality traits were not expressed in a single hybrid combination. It varied from cross to cross due to diverse genetic background of their parents. The two crosses IR68897A/Jaya and IR68897A/BPT 5204 were found to be heterotic for yield and yield traits as well as the grain quality characteristcs

    Heterosis for yield and yield attributes in rice (Oryza sativa L.)

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    The present study was carried out to study the extent of heterosis, heterobeltiosis and standard heterosis for yield and yield parameters in rice. Analysis of variance indicated significant difference among the genotypes for various traits. Estimation of heterosis for various yield contributing traits indicated that out of nine crosses studied, Pusa sugandh-2 X BPT-5204 (27.93) and Pusa sugandh-2 X Kasturi (24.71) were identified as promising. These hybrids may be recommended for commercial cultivation after further evaluation

    Competence of Biopesticide and Neem in Agriculture

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    Neem plant is considered as the most useful traditional plant in India. The various properties of different parts of neem tree are used as insecticide, antifeedant, hormonal, antifungal, antiallergic, antidermatic, anti-inflammatory, antiscabic larvicidal and spermaticidal activity etc. In recent era the major challenge is to increase the food production without harming the environment and can control the pest. Since, last decades pesticides have become an integral component in sustainable agriculture and the modern day cultivation practices uses of chemical pesticides and fertilizers are in eliminable. Enormous use of different chemical pesticides in agricultural fields is resistant to most of the pests. So that the natural pesticides from A. indica are considered to be less harmful, biodegradability, least persistence, lest toxic to non-target organism, economic and used to combat insects, pests are not ruled out. Neem derived products play an essential role in the pest management, in agricultural fields such as crop and stored grains. Fruitful results of application of formulated neem based products in agriculture field will provide a cost effective technology to the farmers

    Mouth Image Based Person Authentication Using DWLSTM and GRU

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    Recently several classification methods were introduced to solve mouth based biometric authentication systems. The results of previous investigations into mouth prints are insufficient and produce lesser authentication results. This is mainly due to the difficulties that accompany any analysis of the mouths: mouths are very flexible and pliable, and successive mouth print impressions even those obtained from the same person may significantly differ from one other. The existing machine learning methods, may not achieve higher performance and only few methods are available using deep learning for mouth biometric authentication. The use of deep learning based mouth biometrics authentication gives higher results than usual machine learning methods. The proposed mouth based biometric authentication (MBBA) system is rigorously examined with real world data and challenges with the purpose that could be expected on mouth-based solution deployed on a mobile device. The proposed system has three major steps such as (1) database collection, (2) creating model for authentication, (3) performance evaluation. The database is collected from Annamalai University deep learning laboratory which consists of 5000 video frames belongs to 10 persons. The person authentication model is created using divergence weight long short term memory (DWLSTM) and gated recurrent unit (GRU) to capture the temporal relationship in mouth images of a person. The existing and proposed methods are implemented via the Anaconda with Jupyter notebook. Finally the results of the proposed model are compared against existing methods such as support vector machine (SVM), and Probabilistic Neural Network (PNN) with respect to metrics like precision, recall, F1-score, and accuracy of mouth

    Application of Finlets for Trailing Edge Noise Reduction of a NACA 0012 Airfoil

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    Experimental Study of Porous Treatment for Aerodynamic and Aeroacoustic Purposes

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    Spatial Analysis on the provision of Urban Amenities and their Deficiencies - A Case Study of Srinagar City, Jammu and Kashmir, India

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    The paper examined inequality in the distribution of urban amenities in Srinagar City. Inequality in the study area is manifested in the form of unequal provision of social amenities within the wards (municipal units) of the City. The spatial distribution and concentration of two social amenities, viz, educational institutions and fire service stations was studied. The study mainly relied on the secondary sources of data. The Z-score variate has been used to determine the spatial concentration pattern in the provision of these amenities. However, Lorenz Curve proved to be a useful tool in accessing and quantifying the spatial disparity. The results of the analysis indicate that inequalities exist in the provision of accessibility of these amenities among different wards in Srinagar city. The reasons for the uneven distribution of urban amenities are spurt urban growth in the last three decades and poor management planning. The paper suggests that planning body must keep pace with the urban sprawl in order to ensure the equitable distribution of urban amenities in the city. Keywords: Amenities, Wards, Srinagar City, Well-being, Accessibility, Lorenz Curv

    A “Near-Miss Lethal Accident Case” in MR Suit of a Tertiary Care Hospital

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    A “near miss” is an unpleasant event that did not result in injury, illness, or damage but had the potential to do so, but for a fortunate break in the chain of events. We present a near-miss case which occurred in the MR suite of a tertiary care hospital. Although the MR is considered a very safe procedure, if MR safety guidelines are not adhered to, adverse and catastrophic events to the extent of patient deaths are known to have occurred. It is hoped that this incident will prompt hospitals to document and follow MR safety protocols for patient and staff safety. Although MRI is an extremely safe procedure rarely MR adverse incidents have resulted in serious physical injury or even death. The incident is an eye opener regarding potential adverse events lurking in the relatively safe MR environment and provides an opportunity to rectify the inadequacies in MR safety

    Relationship between the levels of Serum Thyroid Hormones and the Risk of Breast Cancer

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    Breast cancer is still one of the leading causes of cancer death in women, but there has been a sustained decline in mortality rates over the last decades the relationship between breast cancer and thyroid diseases is controversial many works have been done in past also. The relation between autoimmune and non-autoimmune thyroid diseases has been investigated in patients with breast cancer and age-matched control individuals without breast or thyroid disease. Determination of serum thyroid hormone and antibody levels was done in 100 breast cancer patients and 75 control individuals. The mean values for thyroid hormones and anti-thyroid peroxidase antibodies were significantly higher in breast cancer patients than in control individuals. Our results indicate an increased prevalence of autoimmune and non-autoimmune thyroid diseases in breast cancer patients. Keywords: breast, cancer, autoimmune thyroid diseases
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