Spontaneous Time Asymmetry due to Horizon

We show that quantized matter fields in the presence of background metrics with Horizon exhibit spontaneous time asymmetry. All quantized matter fields have to vanish at the horizon. Some phenemenological applications of this in the context of black holes and early universe are considered.Comment: 4 pages, Revte

Processing and storage stability of bottle gourd (L. siceraria)

Abstract: Bottle gourd (Langenariasiceraria), Aonla (EmblicaofficinalisGaertn.), Lemon (Citrus x limon) and Ginger (Zingiberofficinale) juice was blended in the proportion of 87.90: 23.40: 5.70: 6.00 mL, respectively.  Prepared blend juice was hot filled in glass bottles and thermally processed over a temperature range over 80-950C for 5-30 min.  Significant difference was observed in ascorbic acid (vitamin C), total plate counts and, yeast and mould counts (P<0.05), while no significant difference was in pH and TSS (P>0.05).  The best thermal process was found at 85°C hot filling and processing at 85°C for 5 min.  At this temperature-time combination, 3.52 pH, 5.17 oBrix TSS, 38.32 mg per 100 mL ascorbic acid,      35 cfu mL-1 total plate counts, 2 cfu mL-1 yeasts and moulds count, and nil coli form counts of blend juice was obtained.  Thermally processed cooled bottles were stored at 37°C for 10 d and 55°C for seven d in incubator for stability test.  The t-test indicated that there was no significant difference between the actual and observed values of pH attribute of blend juice (P<0.05).  At various time and temperatures processed blend juice was very stable and microbiologically safe after their accelerated storage.   Keywords: blend juice, thermal processing, storage stability, physicochemical, microbiologica

A serological study of leptospirosis in Chennai

Background: Leptospirosis is a zoonotic disease of mammals caused by serovars belonging to the spirocheate Leptospira interrogans. Commonly occurs in tropical and sub tropical regions.Methods: A total number of 2180 suspected cases were included in the study during the period April 2014 to June 2014. All the samples were subjected to macroscopic slide agglutination test (MSAT). Suspected leptospirosis cases (n=2180) in the Chennai city and its suburbs were clinically evaluated.Results: The most common presentation involved was specific signs and symptoms including fever, myalgia and headache (99%). Fever followed by jaundice and renal failure were observed in 3.74% cases. Fever followed by chills, skin rashes, cough, vomiting were observed in 2.43% cases. About 30% of the infected people were found in the age group of above 60 years. Female (57 %) were found predominantly infected when compared to male (43 %). Out of 2180 suspected cases 534 (32%) were found infected due to leptospirosis during the summer by MSAT method. (April ’14-June’14).Conclusions: This study shows leptospirosis found more common among female than male, probably due to occupational status of leptospirosis. Based on our study we suggest that senior age group people (age more than 60 years) are highly proven to this disease probably due to the less immunity factor

Detection and localization of cotton based on deep neural networks

Cotton detection is the localization and identification of the cotton in an image. It has a wide application in robot harvesting.  Various modern algorithms use deep learning techniques for detection of fruits/flowers. As per the survey, the topics travelled include numerous algorithms used, and accuracy obtained on using those algorithms on their data set. The limitations and the advantages in each paper, are also discussed. This paper focuses on various fruit detection algorithms- the Faster RCNN, the RCNN, YOLO. Ultimately, a rigorous survey of many papers related to the detection of objects like fruits/flowers, analysis of the assets and faintness of each paper leads us to understanding the techniques and purpose of algorithms. &nbsp

Fully Invariant and Characteristic Interval-Valued Intuitionistic Fuzzy Dual Ideals of BF-algebras

The notion of interval-valued intuitionistic fuzzy sets was first introduced by Atanassov and Gargov as a generalization of both interval-valued fuzzy sets and intuitionistic fuzzy sets. Satyanarayana et. al., applied the concept of interval-valued intuitionistic fuzzy ideals and interval-valued intuitionistic fuzzy dual ideals to BF-algebras. In this paper, we introduce the notion of fully invariant and characteristic interval-valued intuitionistic fuzzy dual ideals of BF-algebras and investigate some of its properties

Theoretical analysis of perching and hovering maneuvers

Unsteady aerodynamic phenomena are encountered in a large number of modern aerospace and non-aerospace applications. Leading edge vortices (LEVs) are of particular interest because of their large impact on the forces and performance. In rotorcraft applications, they cause large vibrations and torsional loads (dynamic stall), affecting the performance adversely. In insect flight however, they contribute positively by enabling high-lift flight. Identifying the conditions that result in LEV formation and modeling their effects on the flow is an important ongoing challenge. Perching (airfoil decelerates to rest) and hovering (zero freestream velocity) maneuvers are of special interest. In earlier work by the authors, a Leading Edge Suction Parameter (LESP) was developed to predict LEV formation for airfoils undergoing arbitrary variation in pitch and plunge at a constant freestream velocity. In this research, the LESP criterion is extended to situations where the freestream velocity is varying or zero. A point-vortex model based on this criterion is developed and results from the model are compared against those from a computational fluid dynamics (CFD) method. Abstractions of perching and hovering maneuvers are used to validate the low-order model's performance in highly unsteady vortex-dominated flows, where the time-varying freestream/translational velocity is small in magnitude compared to the other contributions to the velocity experienced by the leading edge region of the airfoil. Time instants of LEV formation, flow topologies and force coefficient histories for the various motion kinematics from the low-order model and CFD are obtained and compared. The LESP criterion is seen to be successful in predicting the start of LEV formation and the point-vortex method is effective in modeling the flow development and forces on the airfoil. Typical run-times for the low-order method are between 30-40 seconds, making it a potentially convenient tool for control/design applications

Inverse problem of photoelastic fringe mapping using neural networks

This paper presents an enhanced technique for inverse analysis of photoelastic fringes using neural networks to determine the applied load. The technique may be useful in whole-field analysis of photoelastic images obtained due to external loading, which may find application in a variety of specialized areas including robotics and biomedical engineering. The presented technique is easy to implement, does not require much computation and can cope well within slight experimental variations. The technique requires image acquisition, filtering and data extraction, which is then fed to the neural network to provide load as output. This technique can be efficiently implemented for determining the applied load in applications where repeated loading is one of the main considerations. The results presented in this paper demonstrate the novelty of this technique to solve the inverse problem from direct image data. It has been shown that the presented technique offers better result for the inverse photoelastic problems than previously published works