5,190 research outputs found
Absorption on horizon-wrapped branes
We compute the absorption cross section of space-time scalars on a static D2
rane, in global coordinates, wrapped on the S^2 of an AdS_2 X S^2 X CY_3
geometry. We discuss its relevance for the construction of the dual quantum
mechanics of Calabi-Yau black holes.Comment: 18 pages, 2 figure
Fuzzy Clustering Based Highly Accurate Prediction Algorithm for Unknown Web Services
In today�s reality, the measure of web administrations is expansions on web, so that determination and suggestion of web administration are becoming more imperative. In the fields of E-commerce and other Web-based services recommendation systems are extremely significant. Recommendation system first of all searches the list of web services those having similar functionality, which is user wants. By using filtering, separated the required list and finally on the basis of past records of service provider select out the optimal web services and recommend to users. In this paper predicts that much not known Web services QoS values more precisely than other accessible approaches. Also, we proposed the QoS prediction by utilizing fuzzy clustering technique with ascertaining the clients similarity. Our methodology enhances the prediction accuracy, and this is confirmed by contrasting investigations with different techniques
Prospecting Risk factors for Anxiety and Depression among University Students : A Delhi based Cross-Sectional Study
Recent studies on trends in depression and anxiety have led to raised concern regarding overall health status of college students during this crucial period of transition into adulthood which can potentially adversely affect their social and academic development. The present study aims to examine the association of various socio-demographic factors along with different forms of social and physical activities with prevalence of depression and anxiety among college students. The prevalence of depression and anxiety was found to be 33.3% and 32.4% respectively among the study participants. It was found that depression was lower among those who shared a close bond with their parents and siblings. Girls were found to be at significantly higher risk of depression (1.86; 95% C.I. (1.16-2.97)) compared to boys. Students involved in active yoga showed lower depressive and anxiety disorders. The study identified being overweight and obese, along with an increasing consumption of social media (which promoted fad diets, comparisons etc.), as some of the major risk factors for mental disorders
Suitability of Chlorella ellipsoidea as food for production of the rotifer Brachionus calyciflorus
Rotifers are valuable live food for larval fish and crustacean in aquaculture. In the present study, we conducted an experiment to evaluate the suitability of Chlorella ellipsoidea as food for production of the rotifer, Brachionus calyciflorus. The experiment was carried out in three treatments using dried powder Chlorella ellipsoidea (T1), fresh live Chlorella ellipsoidea (T2) and Bakers yeast (T3) as food with three replications. For supplying food to rotifers, C. ellipsoidea was cultured sufficiently in different inexpensive culture media before rotifer culture and it was continued up to the end of the rotifer culture experiment. The ranges of environmental factors analyzed were suitable for both C. ellipsoidea and rotifers culture during the experimental period. Maximum cell densities of C. ellipsoidea were recorded in inexpensive pulse bran extract medium during the culture period. The mean population densities (means ± SEM) of B. calyciflorus were significantly (p<0.01) highest in T2 (28.6 ± 4.64 (x103) individuals L-1) compared to T1 (11.6 ± 1.24 (x103) individuals L-1) and T3 (11.4 ± 1.82 (x103) individuals L-1). The findings of present study revealed that fresh cultured C. ellipsoidea was the best food for production of the rotifer, B. calyciflorus. DOI: http://dx.doi.org/10.3329/ijarit.v3i2.17843 Int. J. Agril. Res. Innov. & Tech. 3 (2): 41-48, December, 201
A Novel Blended State Estimated Adaptive Controller for Voltage and Current Control of Microgrid against Unknown Noise
© 2013 IEEE. In this study, a novel blended state estimated adaptive controller is designed for voltage and current control of microgrid against unknown noise. The core feature of the microgrid (MG) is its ability to integrate more than one distributed energy resource into the main grid. The state of a microgrid may deteriorate due to many reasons, for example malicious cyber-attacks, disturbances, packet losses, etc. Therefore, it is necessary to achieve the true state of the system to enhance the control requirement and automation of the microgrid. To achieve the true state of a microgrid, this study proposes the use of an algorithm based on the unscented kalman filter (UKF). The proposed state estimator technique is developed using an unscented-transformation and sigma-points measurement technique capable of minimizing the mean and covariance of a nonlinear cost function to estimate the true state of a single-phase, three-phase single-source and three-phase multi-source microgrid system. The advantage of the proposed estimator over using extended kalman filter (EKF) is investigated in simulations. The results demonstrate that the use of the UKF estimator produces a superior estimation of the system compared with the use of the EKF. An adaptive PID controller is also developed and used in system conjunction with the estimator to regulate its voltage and current against the number of loads. Deviation in load parameters hamper the function of the MG system. The performance of the developed controller is also evaluated against number of loads. Results indicate the controller provides a more stable and high-tracking performance with the inclusion of the UKF in the system
Smart Hospitality and Secure Tourism Management using Blockchain Technology: BESHosTM Approach
Throughout the age of 5G technology, the majority of contactless banking is made via software that is enabled by a wide range of financial platforms. Several alternative financing channels provide access to a variety of services. The opportunity for hackers to engage in nefarious behaviour such as payment account hacking, identity theft, and payment system assaults stages of clearances with e-tourism, monetary information is kept in a database. Payment issues can be caused by a centralised cloud server. Throughout the periods of heavy congestion, the abovementioned problems are solvable by utilising a decentralised system like blockchain, it allows for the maintenance of trustworthiness between distinct groups of financial institutions, tour companies, airways, and trains are examples of consumers. Cruise ships, accommodations, cafes, as well as regional cabs are all available. Inspired mostly by following the foregoing debate, we suggest the blockchain Enables Secure Smart Hospitality and Tourism Management (BESHosTM) model
Tourism Decision Making System & Auto Guidance Technique using Data analytics
A unique Tourism Decision Making System TDMS) describes and evaluates the evaluation of research and developments in information technology meant for pronouncement sustain as well as examination during the sector of visiting the attractions. Individuals in the tourism sector are classified according to their decision-making technologies. The current trends and growth directions of choice help technologies were analysed for visitors from various advertising categories. The potential to provide customising, augmentation, and help for visitors at all phases of their trips by integrating modern automated approaches with GIS capabilities demonstrates the need for breakthroughs in digital advanced analytics
Computational modelling of emboli travel trajectories in cerebral arteries: Influence of microembolic particle size and density
This article has been made available through the Brunel Open Access Publishing Fund.Ischaemic stroke is responsible for up to 80 % of stroke cases. Prevention of the reoccurrence of ischaemic attack or stroke for patients who survived the first symptoms is the major treatment target. Accurate diagnosis of the emboli source for a specific infarction lesion is very important for a better treatment for the patient. However, due to the complex blood flow patterns in the cerebral arterial network, little is known so far of the embolic particle flow trajectory and its behaviour in such a complex flow field. The present study aims to study the trajectories of embolic particles released from carotid arteries and basilar artery in a cerebral arterial network and the influence of particle size, mass and release location to the particle distributions, by computational modelling. The cerebral arterial network model, which includes major arteries in the circle of Willis and several generations of branches from them, was generated from MRI images. Particles with diameters of 200, 500 and 800 μ m and densities of 800, 1,030 and 1,300 kg/m 3 were released in the vessel's central and near-wall regions. A fully coupled scheme of particle and blood flow in a computational fluid dynamics software ANASYS CFX 13 was used in the simulations. The results show that heavy particles (density large than blood or a diameter larger than 500 μ m) normally have small travel speeds in arteries; larger or lighter embolic particles are more likely to travel to large branches in cerebral arteries. In certain cases, all large particles go to the middle cerebral arteries; large particles with higher travel speeds in large arteries are likely to travel at more complex and tortuous trajectories; emboli raised from the basilar artery will only exit the model from branches of basilar artery and posterior cerebral arteries. A modified Circle of Willis configuration can have significant influence on particle distributions. The local branch patterns of internal carotid artery to middle cerebral artery and anterior communicating artery can have large impact on such distributions. © 2014 The Author(s)
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