163 research outputs found
Alteration of Dinacharya and Ratricharya in Greeshma Ritu: An In-Depth Review
No full textDinacharya are the activities which are done in a day. Similarly, Ratricharya are the activities done in the night. These regimens are described in sequences. There are separate sets of activities and guidelines to be followed during each season, collectively termed as Ritucharya. There are six seasons as per Ayurveda viz. Shishira, Vasanta, Greeshma, Varsha, Sharad and Hemanta. Although daily regimens have been advised for individuals, they might not be always applied for all the seasons. One needs to modify or alter certain activities in each season. Hence, this study is an effort that has been made to opt for following the sequence of Dinacharya in Greeshma Ritu based on Ayurvedic texts advocated for healthy individuals
Rehabilitation and Medical Assistant Technique in Virtual Reality
No full textIn the modern world, Virtual Reality (VR) has been accepted by the researcher as a state-of-the-art neuropsychological assessment tool in clinical research. Owing to the two prominent VR attributes i.e. immersivity and interactivity, VR is being used as an assessment tool as well as a training module. Combining cognitive knowledge with existing VR technology can propel VR to achieve a quantum leap in the rehabilitation sector. In addition, it offers potential radical modifications in the traditional way of neuropsychological assessment in the clinical settings, by improving ecological validity of the existing tests. Subsequently, features of VR facilitate customisation of an individual's treatment plan with the informed gradual progression of the challenge. This chapter explains VR as an innovative platform in the sector of medical & others such as military and sports for assessment as well as for training. </jats:p
Rehabilitation and Medical Assistant Technique in Virtual Reality
No full textIn the modern world, Virtual Reality (VR) has been accepted by the researcher as a state-of-the-art neuropsychological assessment tool in clinical research. Owing to the two prominent VR attributes i.e. immersivity and interactivity, VR is being used as an assessment tool as well as a training module. Combining cognitive knowledge with existing VR technology can propel VR to achieve a quantum leap in the rehabilitation sector. In addition, it offers potential radical modifications in the traditional way of neuropsychological assessment in the clinical settings, by improving ecological validity of the existing tests. Subsequently, features of VR facilitate customisation of an individual's treatment plan with the informed gradual progression of the challenge. This chapter explains VR as an innovative platform in the sector of medical & others such as military and sports for assessment as well as for training.</jats:p
Simulation and Optimisation of unsteady aerodynamic performance of a 2D VAWT rotor: With emphasis on airfoil design
No full textAirfoil design plays an important role in improving the performance of Vertical Axis Wind Turbines(VAWTs). The aim of this thesis is to arrive at optimal airfoil geometries to enhance the performance of VAWTs and analyse the performance of these optimal airfoils under steady and unsteady operation conditions of the rotor. The airfoil design is aimed at rotors operating in the Reynolds number range of 10ዀ. The inverse airfoil design approach is used to arrive at the airfoil geometries. The design process involves formulating a multiobjective optimisation problem with the aerodynamic and structural performance of the airfoil as objectives.After a comprehensive literature study, the objective derived by Ferreira and Geurts [25] was chosen for its suitability to the current work. The aerodynamic performance of the airfoil is gauged by the ratio of lift slope and drag coefficient. The structural objective is limited to the flapwise bending stiffness. To account for the weather impact, the aerodynamic objective also includes the effect of surface roughness. An effective optimisation framework is built with the Non-dominated Sorting Genetic Algorithm(NSGA-II) to arrive at the Pareto front with best suitable airfoils for VAWTs. This framework is coupled with XFOIL which evaluates the geometries and another python based framework, Distributed Evolutionary Algorithms in Python(DEAP) which helps in setting up the genetic algorithm. Once the convergence is reached, few airfoils from the final Pareto front are chosen for further analysis.Based on the literature study, the Actuator Cylinder Model(ACM) was chosen to simulate the performance of the airfoils in a VAWT rotor. The performance of the selected airfoils were analysed under steady flow conditions with the ACM. To account for the effects of unsteady flow over the airfoil, a Beddoes-Leishman type dynamic stall model formulated by the Risø national laboratories was integrated into the AC Model loop along with a correction to the effective angle of attack. The inviscid part of this model was validated with another AC Modelcode from Li [42] and the inviscid panel method 푈2퐷푖푉퐴 [65].The performance of the optimised airfoils is an improvement over the performance of the NACA airfoils of similar thicknesses which proves that the optimisation process has been successful. The performance of the airfoils in steady flow indicates that the power performance of the airfoil suffers more from the surface roughness as the thickness of the airfoil increases. The thicker airfoils perform better at high solidity applications at low tip speed ratios. The range of operational tip speed ratios decreases as the airfoils become thicker.The performance of these airfoils under the effects of unsteady flow under the inviscid flow assumption provides an overview of the differences in the performance of the airfoils under unsteady flow conditions. The range of tip speed ratios where the airfoils show their best performance moves towards higher values indicating that under unsteady flow effects, the rotor needs to operate at a higher rotational velocity to achieve its best performance. However, to obtain a better insight on the performances of the airfoil under unsteady flow effects, further studies with the complete validated Risø model have to be carried out.Aerospace Engineerin
Disaster Resilience in Vulnerable cities through Neighbourhood Development: A case of Chennai
No full textAbstractThis paper follows the discipline of Urban Design to elaborate the concepts of disaster resilience at the neighbourhood level for the collective development of Chennai city. The increased inflow and use of resources attributed to the growing urban population creates a pressure on the various natural systems, increasing their vulnerability to multiple attacks from natural and man-made forces. Hence the future adaptability of cities is important for its growth in the aftermath of a disaster strike. The intent of this research is thus to develop a framework of strategies for an emergency response programme and to develop a design scheme to make cities resilient, through neighbourhood development. A sample precinct of Chepauk was taken up for the design demonstration after a detailed analysis of the same, addressing various physical factors such as land use, open spaces, connectivity networks, physical and social infrastructure, built density, ecology and emergency response mechanism
A Study on Cost Effectiveness and Security of VANET Technologies for Future Enhancement
No full textAbstractIntelligent Transport System (ITS) is an advanced application which provides web enabled services for traffic and transport system, which results in a safer, coordinated traffic network system. ITS is very effectively used in VANET (Vehicular Ad-hoc Network), which is a spontaneous creation of wireless network of vehicles for exchanging information between them, for improved transport and traffic management and to enable various users to be sufficiently informed about the road and make safer and smarter decisions on road by using transport networks. As the technology has to be used widely, there is a high need for a low cost VANET technology with high security and Quality of Service. To go for any further developments, a thorough analysis on the available technologies is essential to get a closer view on the current scenario. The result of this study can open doors for a better technology for future VANETs. This paper considers a few existing technologies such as CROWN, Vehicular Cloud and VANET-Cloud and a comparison on these is carried out
Clinical Effectiveness of Extracorporeal Membrane Oxygenation (ECMO) - A Systematic Review and Meta-Analysis
No full textThe review mainly focuses on the goals to evaluate the viability of ECMO in a decrease of mortality, length of stay, and other complications in adults above 18 years.
Introduction: Inclusion criteria: This review is conducted in adult patients above 18 years who were included with cardiac or respiratory failure, or both. Respiratory, Neurological disease, Cardiac arrest, acute respiratory distress syndrome (ARDS), COVID-19, Haemorrhagic Stroke, Pneumonia, Bleeding, Renal replacement therapy, organ Failure primary graft dysfunction following lung Transplant, H1N1 Influenza, and other comorbidities.
Methods: The databases of web indexes like PubMed, Google researcher, and Cochrane were utilized for this review. The titles and abstracts are screened and evaluated based on the inclusion criteria of the review. Depending on inclusion criteria the full-text articles were assessed exhaustively and chosen studies were recovered by methodological quality.
Results: In this review among the retrieved articles forty-six studies met the inclusion criteria and those studies were pooled statistically and their outcomes were measured. All those studies explain the effectiveness of ECMO by reducing mortality, length of stay, and other complications.
Conclusion: Currently with limited evidence suggests that ECMO reduces mortality, length of stay, and other complications in adult patients with respiratory, cardiac failure, and other comorbidities
Sex differences in mental rotation: Cortical functional connectivity using direct transfer function
No full textPlaying Action Video Games a Key to Cognitive Enhancement
No full textAbstractIn this paper, we aim to analyse the impact of training on improvement in cognitive abilities and performance of the subjects playing single player action video game. Recent research indicates that playing Action video games improve cognitive abilities. However no study has exploited the novel technique, Empirical Mode Decomposition in the field of action video games. Empirical mode decomposition was used to extract various features by decomposing EEG data into intrinsic mode functions. Intrinsic mode functions were used to calculate linear features like standard deviation, phase and energy. K- Nearest Neighbour & Linear Discriminant Analysis classifiers were used to classify the subject based on the changes in features extracted due to the impact of training. Psychological tests conducted before and after the training, positively affirm that training improves cognitive abilities like reaction time and reduces stress level
Design of NEMS Based Intraocular Pressure Sensing System
No full textAbstractGlaucoma is one of the leading causes of irreversible blindness. The change in intraocular pressure (IOP) inside the anterior chamber of the eye beyond its normal limit leads to this condition which initially affects the peripheral vision and if left untreated, results in permanent blindness. Early detection of elevation in IOP helps to slow down the disease progress. Thus a highly precise, cost effective, miniaturized pressure sensor is an important need for sensing the IOP. In the present work, the piezoresistivity of Single Walled Carbon Nano Tubes (SWCNT) is exploited to design a diaphragm based Nano-Electro-Mechanical Systems (NEMS) pressure sensor. Finite Element Method simulation is then performed to find the change in resistance ofthe piezoresistive material. This change in resistance results a change in output voltage corresponding to the pressure applied, which can be measured by an interfacing circuitry consisting of a low voltage amplifier andlow power-high speed Analog to Digital Converter (ADC). The resultant pressure sensor response is found to be highly linear and its sensitivity can be increased by changing diaphragm dimensions
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