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Search Results: 1 - 10 of 467 matches for " Vineet Chaitanya "
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Information Revolution
Akshar Bharati,Vineet Chaitanya,Rajeev Sangal
Computer Science , 2003,
Abstract: The world is passing through a major revolution called the information revolution, in which information and knowledge is becoming available to people in unprecedented amounts wherever and whenever they need it. Those societies which fail to take advantage of the new technology will be left behind, just like in the industrial revolution. The information revolution is based on two major technologies: computers and communication. These technologies have to be delivered in a COST EFFECTIVE manner, and in LANGUAGES accessible to people. One way to deliver them in cost effective manner is to make suitable technology choices (discussed later), and to allow people to access through shared resources. This could be done throuch street corner shops (for computer usage, e-mail etc.), schools, community centers and local library centres.
Anusaaraka: Machine Translation in Stages
Akshar Bharati,Vineet Chaitanya,Amba P. Kulkarni,Rajeev Sangal
Computer Science , 2003,
Abstract: Fully-automatic general-purpose high-quality machine translation systems (FGH-MT) are extremely difficult to build. In fact, there is no system in the world for any pair of languages which qualifies to be called FGH-MT. The reasons are not far to seek. Translation is a creative process which involves interpretation of the given text by the translator. Translation would also vary depending on the audience and the purpose for which it is meant. This would explain the difficulty of building a machine translation system. Since, the machine is not capable of interpreting a general text with sufficient accuracy automatically at present - let alone re-expressing it for a given audience, it fails to perform as FGH-MT. FOOTNOTE{The major difficulty that the machine faces in interpreting a given text is the lack of general world knowledge or common sense knowledge.}
Language Access: An Information Based Approach
Akshar Bharati,Vineet Chaitanya,Amba P. Kulkarni,Rajeev Sangal
Computer Science , 2003,
Abstract: The anusaaraka system (a kind of machine translation system) makes text in one Indian language accessible through another Indian language. The machine presents an image of the source text in a language close to the target language. In the image, some constructions of the source language (which do not have equivalents in the target language) spill over to the output. Some special notation is also devised. Anusaarakas have been built from five pairs of languages: Telugu,Kannada, Marathi, Bengali and Punjabi to Hindi. They are available for use through Email servers. Anusaarkas follows the principle of substitutibility and reversibility of strings produced. This implies preservation of information while going from a source language to a target language. For narrow subject areas, specialized modules can be built by putting subject domain knowledge into the system, which produce good quality grammatical output. However, it should be remembered, that such modules will work only in narrow areas, and will sometimes go wrong. In such a situation, anusaaraka output will still remain useful.
LERIL : Collaborative Effort for Creating Lexical Resources
Akshar Bharati,Dipti M Sharma,Vineet Chaitanya,Amba P Kulkarni,Rajeev Sangal,Durgesh D Rao
Computer Science , 2003,
Abstract: The paper reports on efforts taken to create lexical resources pertaining to Indian languages, using the collaborative model. The lexical resources being developed are: (1) Transfer lexicon and grammar from English to several Indian languages. (2) Dependencey tree bank of annotated corpora for several Indian languages. The dependency trees are based on the Paninian model. (3) Bilingual dictionary of 'core meanings'.
Anusaaraka: Overcoming the Language Barrier in India
Akshar Bharati,Vineet Chaitanya,Amba P. Kulkarni,Rajeev Sangal,G Umamaheshwara Rao
Computer Science , 2003,
Abstract: The anusaaraka system makes text in one Indian language accessible in another Indian language. In the anusaaraka approach, the load is so divided between man and computer that the language load is taken by the machine, and the interpretation of the text is left to the man. The machine presents an image of the source text in a language close to the target language.In the image, some constructions of the source language (which do not have equivalents) spill over to the output. Some special notation is also devised. The user after some training learns to read and understand the output. Because the Indian languages are close, the learning time of the output language is short, and is expected to be around 2 weeks. The output can also be post-edited by a trained user to make it grammatically correct in the target language. Style can also be changed, if necessary. Thus, in this scenario, it can function as a human assisted translation system. Currently, anusaarakas are being built from Telugu, Kannada, Marathi, Bengali and Punjabi to Hindi. They can be built for all Indian languages in the near future. Everybody must pitch in to build such systems connecting all Indian languages, using the free software model.
Temporal Prediction of Aircraft Loss-of-Control: A Dynamic Optimization Approach  [PDF]
Chaitanya Poolla, Abraham K. Ishihara
Intelligent Control and Automation (ICA) , 2015, DOI: 10.4236/ica.2015.64023
Abstract: Loss of Control (LOC) is the primary factor responsible for the majority of fatal air accidents during past decade. LOC is characterized by the pilot’s inability to control the aircraft and is typically associated with unpredictable behavior, potentially leading to loss of the aircraft and life. In this work, the minimum time dynamic optimization problem to LOC is treated using Pontryagin’s Maximum Principle (PMP). The resulting two point boundary value problem is solved using stochastic shooting point methods via a differential evolution scheme (DE). The minimum time until LOC metric is computed for corresponding spatial control limits. Simulations are performed using a linearized longitudinal aircraft model to illustrate the concept.
Monte Carlo cell simulations
Chaitanya Athale
Genome Biology , 2001, DOI: 10.1186/gb-2001-3-1-reports2001
Abstract: The general Monte Carlo simulator of cellular microphysiology (MCell) on this site is a program that allows three-dimensional dynamic simulations of subcellular architecture and physiology. In addition to an introduction to the modeling of cellular physiology, details of probability and random-event-based methods and complex geometry generation are discussed. The MCell program can be downloaded after registration (free to academic users). The site provides a good introduction to researchers interested in using Monte Carlo Simulations (a random number based simulation method, with the physical process simulated directly by sampling a probability distribution function) to answer questions in cellular physiology and structure, as well as having much to offer for users of the MCell tool. There are links to other simulation tools such as NEURON and GENESIS and visualization tool sites such as Open Visualization Data Explorer and POV-Ray. The minimal nature of the site and the clear introduction to the simulation of microphysiology are its most striking features.Most parts of the site can be found easily and there are tutorials for its use. There are some ambiguous links, including example images. Once in any of the internal pages, there are no links to other pages, which makes moving around a bit tedious. Browsing is easy but customization is not possible. The site has a lot of large images, and on a low-bandwidth connection this might slow access down. Printing pages is not ideal, as text and images do not fit on standard pages, but text and images can be easily downloaded. The response to feedback is excellent and useful answers were obtained within a working day.There is no mention of when the site was last updated, but the new downloading facility for the program was added in October 2001.Monte Carlo simulation methods are not widely represented in cell-simulation websites, so the good overview of modeling in cell biology and the relevance of the Monte Carlo approach
Cell-simulations portal
Chaitanya Athale
Genome Biology , 2001, DOI: 10.1186/gb-2001-3-1-reports2002
Abstract: Navigation is reasonably straightforward and finding the different parts of the site is easy, although there is no dedicated search engine. The links back and forth are not uniform, however: good in some places but absent from others. Customization is possible in the modeling, simulation and image framework. Most pages print as they are seen on-screen, including the figures. No special software, other than a JAVA-enabled browser, is needed to access the site.The last update at the time of writing was 13 June 2001 with Version 3.0 of Virtual Cell.The availability of a modeling platform that frees biologists from having to invest in local computing resources is great. It realizes the vision of remote computing with bare-bones computers logged into central high-performance machines over the internet.At the moment, even small simulations take a very long time to run, without any indication of how long it will take. The response to feedback is poor, having taken over a working week for meBetter performance from the program and a fitting and optimization module added to the virtual cell software would certainly add to the attractiveness of the resources.Tools for similar simulations in cell biology are commercially available for work offline from Berkeley Madonna and the ordinary differential equations (ODE) and partial differential equations (PDE) solvers of MATLAB. Image libraries of cells are available at, for example, the Virtual Cell for plant cells. Data standards in computational cell biology are available at CellML and Systems Workbench Development Group.The National Resource for Cell Analysis and ModelingBerkeley MadonnaMATLABVirtual CellCellMLSystems Workbench Development Group
Software for cell simulation
Chaitanya Athale
Genome Biology , 2002, DOI: 10.1186/gb-2002-3-3-reports2011
Abstract: Access was good at all times tested, and searching and browsing is not problematic. The site is mainly organized into three modules (for the developer, user and general audience), and each module has a clear but different structure. As the design of the modules differs, moving within a module is convenient, but once one has crossed over from one to another, getting back can be inconvenient. The section devoted to the E-CELL development and user forums is full of dynamic sections where comments can be directly added to the online material. Other parts of the user forums are also convenient to search because of the use of the MoinMoin-based script with features like indices based on title, words and recent change, full search facilities and page views showing deletions and additions. The literature on the site can be downloaded in HTML and postscript formats. E-CELL software versions 1.x and 2.x are available for download under a General Public License (GPL), with source code as well as the model descriptions.The site was last updated on 11 November 2001.The multitude of features on offer for collaboration and exchanges between and within the developer and user communities is by far the best aspect of the site.A lack of discussion about results obtained with the stable E-CELL version (version 1.x ) is the biggest deficiency.Discussions about results obtained with E-CELL and a list of related and similar sites.The older E-CELL site hosts a user manual, literature, models, a user mailing-list and information about Masaru Tomita's group, who created E-CELL. This site has links to the lab in which the E-CELL project started - the Bioinformatics Laboratory at Keio University - and the Institute for Advanced Biosciences, Keio University, where further work on the project, including the application of E-CELL to optimal industrial-microbe design, is planned. Tools similar to E-CELL are also available at the websites for GEPASI, a biochemical network simulator, and GENESIS, a
Research on preserving User Confidentiality in Cloud Computing – Design of a Confidentiality Framework
Chaitanya Dwivedula
International Journal of Engineering Research and Applications , 2013,
Abstract: Cloud Computing creates a dynamicresource sharing platform that provides dataanalytically to the proficient users who are atdemand to access data present in the cloud. Asthis data is stored outside the data owner's boundaries, they are skeptical for utilizingcloud technology in order to store or accesstheir data from those external cloudproviders who are outside their own controlenvironment. There are many issues for theseactive clients (companies or individuals) to bepetrified at the thought of using cloudcomputing paradigm. Some of the main issuesthat make the clients swear against Cloud Computing are generated from threeimportant security aspects: Confidentiality, Integrity, and Availability.In this Research, we focused only on securitymodels that relate Confidentiality issues. We performed a literature Review foranalyzing the existing confidentialityframeworks and security models. We thendesigned a new theoretical framework forconfidentiality in Cloud computing byextracting this literature. We expect this Framework when implemented practically inthe cloud computing paradigm, may generatehuge successful results that motivate the clients to transform their businesses on to Cloud.
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