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Prosthetics rehabilitation of a male patient with a unique looped metal palate denture: A case report
Bhatia Vishwas,Bhatia Garima
Stomatolo?ki Glasnik Srbije , 2012, DOI: 10.2298/sgs1204205b
Abstract: Complete denture can improve both function and aesthetics. Even though mastication is highly improved, one of the most common problems for new full upper acrylic denture wearers is lack of feeling sensations such as hot and cold, loss of taste and fracture in the mid palatal region. These patients require a denture that allows them to feel sensations as close to normal as possible. The present case report discusses an alternative way of designing a metal palate for maxillary complete denture that along with fulfilling the above mentioned functions, has specially designed loops incorporated in such manner and directions to improve mechanical interlocking of acrylic within the metal loops and not to interfere with teeth arrangement.
Beyond Marikana: The Post-Apartheid South African State Jenseits von Marikana: Der Post-Apartheid-Staat in Südafrika
Vishwas Satgar
Africa Spectrum , 2012,
Abstract: This article situates the Marikana massacre, in which 34 mine workers were gunned down by police in South Africa, in the context of what the South African state has become, and questions the characterisation of the post-Apartheid state as a “developmental state”. This contribution first highlights what is at stake when the post-Apartheid state is portrayed as a “developmental state” and how this misrecognition of the state is ideologically constituted. Second, it argues for an approach to understanding the post-Apartheid state by locating it within the context of the rise of transnational neoliberalism and the process of indigenising neoliberalism on the African continent. Third, it examines the actual economic practices of the state that constitute it as an Afro-neoliberal state. Such economic practices are historicised to show the convergence between the post-Apartheid state and the ideal type neoliberal state coming to the fore in the context of global neoliberal restructuring and crisis management. The article concludes by recognising that South Africa’s deep globalisation and globalised state affirm a form of state practice beyond utilising market mechanisms that includes perpetrating violence to secure its existence. Marikana makes this point. Dieser Beitrag setzt das Marikana-Massaker, bei dem 34 Bergarbeiter von der Polizei erschossen wurden, in Bezug zum derzeitigen Zustand des südafrikanischen Staates. Gleichzeitig wird die Charakterisierung des Post-Apartheid-Staates als Entwicklungsstaat“ infrage gestellt. Der Autor beleuchtet zun chst, was diese Charakterisierung impliziert und inwieweit diese Fehlinterpretation ideologisch begründet ist. Er pl diert dann für einen Ansatz, der den Zustand des Post-Apartheid-Staates im Kontext des wachsenden Einflusses des Neoliberalismus sowie der Indigenisierung“ des Neoliberalismus auf dem afrikanischen Kontinent erkl rt. Schlie lich analysiert er die aktuellen wirtschaftspolitischen Entscheidungen, die den südafrikanischen Staat zu einem afro-neoliberalen“ Staat machen, und zeigt die Konvergenz zwischen diesen Entscheidungen und einem idealtypischen Staat im Rahmen von globaler neoliberaler Umstrukturierung und Krisenmanagement. Der Autor kommt zu dem Schluss, dass die tiefe Einbindung Südafrikas in die Globalisierung eine Form staatlichen Handelns bedingt, die über die Aussch pfung von Marktmechanismen hinaus auch die Gewaltanwendung zur Sicherung der eigenen Existenz einschlie t. Die Vorg nge in Marikana sind dafür ein Beleg.
The data paper: a mechanism to incentivize data publishing in biodiversity science
Chavan Vishwas,Penev Lyubomir
BMC Bioinformatics , 2011, DOI: 10.1186/1471-2105-12-s15-s2
Abstract: Background Free and open access to primary biodiversity data is essential for informed decision-making to achieve conservation of biodiversity and sustainable development. However, primary biodiversity data are neither easily accessible nor discoverable. Among several impediments, one is a lack of incentives to data publishers for publishing of their data resources. One such mechanism currently lacking is recognition through conventional scholarly publication of enriched metadata, which should ensure rapid discovery of 'fit-for-use' biodiversity data resources. Discussion We review the state of the art of data discovery options and the mechanisms in place for incentivizing data publishers efforts towards easy, efficient and enhanced publishing, dissemination, sharing and re-use of biodiversity data. We propose the establishment of the 'biodiversity data paper' as one possible mechanism to offer scholarly recognition for efforts and investment by data publishers in authoring rich metadata and publishing them as citable academic papers. While detailing the benefits to data publishers, we describe the objectives, work flow and outcomes of the pilot project commissioned by the Global Biodiversity Information Facility in collaboration with scholarly publishers and pioneered by Pensoft Publishers through its journals Zookeys, PhytoKeys, MycoKeys, BioRisk, NeoBiota, Nature Conservation and the forthcoming Biodiversity Data Journal. We then debate further enhancements of the data paper beyond the pilot project and attempt to forecast the future uptake of data papers as an incentivization mechanism by the stakeholder communities. Conclusions We believe that in addition to recognition for those involved in the data publishing enterprise, data papers will also expedite publishing of fit-for-use biodiversity data resources. However, uptake and establishment of the data paper as a potential mechanism of scholarly recognition requires a high degree of commitment and investment by the cross-sectional stakeholder communities.
Indicators for the Data Usage Index (DUI): an incentive for publishing primary biodiversity data through global information infrastructure
Ingwersen Peter,Chavan Vishwas
BMC Bioinformatics , 2011, DOI: 10.1186/1471-2105-12-s15-s3
Abstract: Background A professional recognition mechanism is required to encourage expedited publishing of an adequate volume of 'fit-for-use' biodiversity data. As a component of such a recognition mechanism, we propose the development of the Data Usage Index (DUI) to demonstrate to data publishers that their efforts of creating biodiversity datasets have impact by being accessed and used by a wide spectrum of user communities. Discussion We propose and give examples of a range of 14 absolute and normalized biodiversity dataset usage indicators for the development of a DUI based on search events and dataset download instances. The DUI is proposed to include relative as well as species profile weighted comparative indicators. Conclusions We believe that in addition to the recognition to the data publisher and all players involved in the data life cycle, a DUI will also provide much needed yet novel insight into how users use primary biodiversity data. A DUI consisting of a range of usage indicators obtained from the GBIF network and other relevant access points is within reach. The usage of biodiversity datasets leads to the development of a family of indicators in line with well known citation-based measurements of recognition.
Real-time System Identification of Unmanned Aerial Vehicles: A Multi-Network Approach
Vishwas Puttige,Sreenatha Anavatti
Journal of Computers , 2008, DOI: 10.4304/jcp.3.7.31-38
Abstract: In this paper, real-time system identification of an unmanned aerial vehicle (UAV) based on multiple neural networks is presented. The UAV is a multi-input multi-output (MIMO) nonlinear system. Models for such MIMO system are expected to be adaptive to dynamic behaviour and robust to environmental variations. This task of accurate modelling has been achieved with a multi-network architecture. The multi-network with dynamic selection technique allows a combination of online and offline neural network models to be used in the architecture where the most suitable outputs are selected based on a given criterion. The neural network models are based on the autoregressive technique. The online network uses a novel training scheme with memory retention. Flight test validation results for online and offline models are presented. The multi-network dynamic selection technique has been validated on real-time hardware in the loop (HIL) simulation and the results show the superiority in performance compared to the individual models.
A-posteriori error estimates for inverse problems
Vishwas Rao,Adrian Sandu
Mathematics , 2014,
Abstract: Inverse problems use physical measurements along with a computational model to estimate the parameters or state of a system of interest. Errors in measurements and uncertainties in the computational model lead to inaccurate estimates. This work develops a methodology to estimate the impact of different errors on the variational solutions of inverse problems. The focus is on time evolving systems described by ordinary differential equations, and on a particular class of inverse problems, namely, data assimilation. The computational algorithm uses first-order and second-order adjoint models. In a deterministic setting the methodology provides a posteriori error estimates for the inverse solution. In a probabilistic setting it provides an a posteriori quantification of uncertainty in the inverse solution, given the uncertainties in the model and data. Numerical experiments with the shallow water equations in spherical coordinates illustrate the use of the proposed error estimation machinery in both deterministic and probabilistic settings.
A Time-parallel Approach to Strong-constraint Four-dimensional Variational Data Assimilation
Vishwas Rao,Adrian Sandu
Computer Science , 2015,
Abstract: A parallel-in-time algorithm based on an augmented Lagrangian approach is proposed to solve four-dimensional variational (4D-Var) data assimilation problems. The assimilation window is divided into multiple sub-intervals that allows to parallelize cost function and gradient computations. Solution continuity equations across interval boundaries are added as constraints. The augmented Lagrangian approach leads to a different formulation of the variational data assimilation problem than weakly constrained 4D-Var. A combination of serial and parallel 4D-Vars to increase performance is also explored. The methodology is illustrated on data assimilation problems with Lorenz-96 and the shallow water models.
Keystroke Dynamics Based Authentication Using Information Sets  [PDF]
Aparna Bhatia, Madasu Hanmandlu
Journal of Modern Physics (JMP) , 2017, DOI: 10.4236/jmp.2017.89094
Abstract: This paper presents keystroke dynamics based authentication system using the information set concept. Two types of membership functions (MFs) are computed: one based on the timing features of all the samples and another based on the timing features of a single sample. These MFs lead to two types of information components (spatial and temporal) which are concatenated and modified to produce different feature types. Two Component Information Set (TCIS) is proposed for keystroke dynamics based user authentication. The keystroke features are converted into TCIS features which are then classified by SVM, Random Forest and proposed Convex Entropy Based Hanman Classifier. The TCIS features are capable of representing the spatial and temporal uncertainties. The performance of the proposed features is tested on CMU benchmark dataset in terms of error rates (FAR, FRR, EER) and accuracy of the features. In addition, the proposed features are also tested on Android Touch screen based Mobile Keystroke Dataset. The TCIS features improve the performance and give lower error rates and better accuracy than that of the existing features in literature.
Keystroke Dynamics Based Authentication Using Possibilistic Renyi Entropy Features and Composite Fuzzy Classifier  [PDF]
Aparna Bhatia, Madasu Hanmandlu
Journal of Modern Physics (JMP) , 2018, DOI: 10.4236/jmp.2018.92008
Abstract: This paper presents the formulation of the possibilistic Renyi entropy function from the Renyi entropy function using the framework of Hanman-Anirban entropy function. The new entropy function is used to derive the information set features from keystroke dynamics for the authentication of users. A new composite fuzzy classifier is also proposed based on Mamta-Hanman entropy function and applied on the Information Set based features. A comparison of the results of the proposed approach with those of Support Vector Machine and Random Forest classifier shows that the new classifier outperforms the other two.
A Study on the Contributions of PACS towards Inclusive Growth of Rural Economy  [PDF]
Sonali Senapati, Asha Bhatia
Theoretical Economics Letters (TEL) , 2018, DOI: 10.4236/tel.2018.813177

Credit cooperatives are regarded as an important source of agricultural credit for the vast majority of farmers in rural India. Institutions of Cooperative Credit had their launching in India after the enactment of Cooperative Societies Act of 1904 with the objective of emancipating the farmers from the clutches of money lenders. After independence a lot of efforts have been made by the Government of India and the State Governments to make the credit cooperatives efficient and farmer friendly. Indian economy is primarily agrarian in nature with more than 70% of the people living in rural areas. Agriculture happens to be the mainstay of livelihood for about 50% of the population of the country. Over the years cooperative credit has made phenomenal expansion in terms of membership coverage, credit advance etc. Primary Agricultural Cooperative Society (PACS) operates at the village level to cater to the credit needs of the farmers in rural areas. It may be observed that, the PACS is the foundation on which the entire cooperative structure is built upon. However many PACS suffer from small size, infrastructural weakness, operational inefficiency and structural flaws. In this context a number of Committees have been formed since 1945 starting from Cooperative Planning Committee to the latest, the Vaidyanathan Committee where recommendations were made to strengthen the cooperatives in the country. On the above backdrop the present article attempts to study the growth of cooperative credit particularly Primary Agricultural Credit Society (PACS) in terms of number of societies, membership, deposits, number of borrowers, loan advanced in India. It also focuses on the measures taken by different committees to revamp and revitalize the PACS. The study is primarily based on secondary data collected from the National federation of State Cooperative Banks Ltd. (NAFSCOB) and other published sources.

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