401 research outputs found
Optical properties of ceramic nanocomposites
No full textNanoscale constituents in nanocomposites possess excellent optical properties that differ from the macroscale properties. This chapter focuses on the optical properties of nanoscale materials incorporated in glass and ceramics, especially transmittance, absorption, non-linearity and luminescence. The fluorescence property of carbon nanotube-glass composite is a new observation which has hitherto not been studied. All these properties make them a potential material for optical sensors, ultraviolet-infrared shielding windows and other biological applications
Multivariate Rank Analysis of Covariance Under Exchangeability of the Primary Variates
No full text The paper considers the usual Rank Analysis of Convariance (RANOCOVA) problem, but under the known permutation symmetry of the primary response variates. The setup crops up in many biometric (e.g. ophthalmological studies) as well as engineering applications where the units on which the responses are measured cannot be taken as independent, but may well be assumed to have exchangeable multivariate distributions for proper natural groupings of the responses. In such cases the conventional nonparametric RANOCOVA methods are eminently applicable, but, the present paper proposes a method by which the efficiency of the inferential processes can be increased substantially. The paper also reports the results of a limited simulation experiment performed to compare the proposed method to the conventional RANOCOVA procedure (cf. Sen, 1984). AMS 1991 Subject classification : 62G 10. </jats:p
キネトプラスチド鞭毛虫の日本の深い淡水湖沼での生態
No full text京都大学0048新制・課程博士博士(理学)甲第19960号理博第4227号新制||理||1607(附属図書館)33056京都大学大学院理学研究科生物科学専攻(主査)教授 中野 伸一, 教授 木庭 啓介, 教授 沼田 英治学位規則第4条第1項該当Doctor of ScienceKyoto UniversityDGA
Unsupervised Physics-Informed Health Indicator Discovery for Complex Systems
No full textDiscovering health indicators (HI) is essential for prognostics and health management of complex systems, as an HI enables timely interventions and effective maintenance strategies. However, most of the existing methodologies for HI discovery rely on labeled data which is expensive and complicated to obtain in the real world. In this paper, we propose a novel, unsupervised physics-informed model structured after expert knowledge in the form of a graphical representation of the expected relationships between sensor readings, operating conditions, and degradation. In addition, a soft constraint is used to guide the representation of the HI according to generally available expert knowledge about degradation. We evaluated the model on a turbofan engine dataset and conducted four experiments by manipulating the original data to create realistic real-world scenarios. The proposed method discovers an HI that exhibits better intrinsic qualities than the current state-of-the-art methodologies, leading to enhanced prognostic performance. Notably, in situations where the initial health state of each system varies, the proposed method achieves an average prognostic performance improvement of approximately 20% compared to existing state-of-the-art methods.Air Transport & Operation
Generic Hybrid Models for Prognostics of Complex Systems
No full textHybrid models combining physical knowledge and machine learning show promise for obtaining accurate and robust prognostic models. However, despite the increased interest in hybrid models in recent years, the proposed solutions tend to be domain-specific. As a result, there is no compelling strategy of what, where, and how physics-derived knowledge can be integrated into deep learning models depending on the available representation of physical knowledge and the quality of data for the development of prognostic models for complex systems. This Ph.D. project aims to develop a general strategy for hybridizing prognostic models by exploring multiple methods to incorporate physical knowledge at various stages of the learning algorithm. The project will prioritize general expert knowledge as the primary source of information, while domain-specific knowledge will serve as an additional feature when applicable.Air Transport & Operation
Evaluation of a simple bedside tool developed to measure different parameters of clubbing
No full textGender differences in notification rates, clinical forms and treatment outcome of tuberculosis patients under the RNTCP
No full textIntroduction: An increased notification rate of tuberculosis (TB) in men is seen in the SAARC region. In India, the Revised National Tuberculosis Control Programme (RNTCP) detects nearly three times more male than female TB patients. Gender differences have also been reported in the clinical forms of tuberculous disease and in treatment adherence and cure rates in patients undergoing treatment for tuberculosis. The present study was undertaken to find out the sex differences in the notification rates and treatment outcomes of TB patients registered under the RNTCP in a rural tuberculosis unit (TU) in West Bengal. Materials and Methods: A retrospective record-based study was carried out among a total of 3605 cases registered under the RNTCP between January 1999 and June 2005. Notification rates of TB, clinical forms of TB and disease treatment outcomes recorded in the registers were analyzed based on genders. Outcomes were defined in accordance with the standard RNTCP definitions. The Z-test for proportion (for comparing differences in proportions), Student t-test (for comparing mean), and χ2 test (to see association) were performed for statistical analysis. Results: Among the total of 3605 patients, 2498 (69.3%) were male and 1107 (30.7%) were female with a male female ratio of 2.25:1. In patients less than 20 years of age, the notification rates among males and females were similar. In the other age groups, males were more likely to be notified compared to females and the difference was statistically significant. While new smear positive and retreatment cases were significantly more than in males, among females, new smear negative and new extrapulmonary cases were significantly higher. Among the new smear positive patients 89.4% of females were cured compared to 85.8% of males which was again significant statistically (Z=1.70, P0.05). Conclusion: The present study demonstrates a gender difference in the notification rates, clinical presentations and treatment outcomes of patients with tuberculosis. Integrated research is necessary to find the reasons for these differences. Such studies will be helpful in improving the efficacy of the RNTCP
Gromov-Witten invariants in family and quantum cohomology
No full textA moduli space of stable maps to the fibers of a fiber bundle is constructed.
The new moduli space is a family version of the classical moduli space of
stable maps to a non-singular complex projective variety. The virtual cycle for
this moduli space is also constructed, and an analogue of Gromov-Witten
invariants is defined. As an application, we recover the formula for the number
of rational degree d curves in P3, whose image lies in a plane in P3 (known as
planar curves in P3), intersecting r general lines while passing through given
s general points, where r + 2s = 3d + 2, firstly proved by R. Mukherjee, R.
Kumar Singh and the fourth named author
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