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Conference on Extreme science and engineering Discovery Environment, XSEDE 2013

作者： Wu, Xingfu Taylor, Valerie Lively, Charles Chang, Hung-Ching Su, Chun-Yi Cameron, Kirk moore, Shirley Terpstra, Dan Lee, Chee Wai Dept. of Computer Science and Engineering Texas a and M University United States Dept. of Computer Science Virginia Tech United States Dept. of Computer Science University of Texas at El Paso United States Innovative Computing Lab. University of Tennessee United States

ISBN: (纸本)9781450321709

mummI (multiple metrics modeling Infrastructure) environment is an infrastructure that facilitates systematic measurement, modeling, and prediction of performance, power consumption and performance-power tradeoffs for parallel systems. mummI builds upon three existing frameworks: Prophesy for performance modeling and prediction of parallel applications, PAPI for hardware performance counter monitoring, and PowerPack for power measurement and pro-filing. In this paper, we present the mummI framework, which consists of an Instrumentor, Databases and Analyzer. The mummI Instrumentor provides automatic performance and power data collection and storage with low overhead. The mummI Databases extend the databases of Prophesy to store power and energy consumption and hardware performance counters' data with different CPU frequency settings. The mummI Analyzer extends the data analysis component of Prophesy to support power consumption and hardware performance counters, and it entails performance and power modeling, performance-power trade- off and optimizations, and web-based automated modeling system. Currently, our mummI online automated performance and power modeling system uses four modeling techniques: curve fitting, parameterization, kernel coupling and performance-counters-based, we discuss the effort to auto- mate the process of developing performance and power models for scientific applications online, and focus on exploring performance-counters- based performance and power modeling. The mummI environment is able to aid in performance and power data measurement, storage, modeling and prediction of scientific applications on XSEDE resources in XSEDE community. © 2013 by the Association for Computing machinery, Inc.

关键词： Database systems

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Feature based Summarization of Customers’ Reviews of Online Products

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Procedia computer science 2013年 22卷 142-151页

作者： Kushal Bafna Durga Toshniwal M. Tech. Computer Science Electronics and Computer Engineering Department IIT Roorkee-247667 India Associate Professor Electronics and Computer Engineering Department IIT Roorkee-247667 India

With the growing availability and popularity of opinion-rich resources such as review forums for the product sold online, choosing the right product from a large number of products have become difficult for the user. For trendy product, the number of customers’ opinions available can be in the thousands. It becomes hard for the customers to read all the reviews and if he reads only a few of those reviews, then he may get a biased view about the product. makers of the products may also feel difficult to maintain, keep track and understand the customers’ views for the products. Several research works have been proposed in the past to address these issues, but they have certain limitations: The systems implemented are completely opaque, the reviews are not easier to perceive and are time consuming to analyze because of large irrelevant information apart from actual opinions about the features, the feature based summarization system that are implemented are more generic ones and static in nature. In this research, we proposed a dynamic system for feature based summarization of customers’ opinions for online products, which works according to the domain of the product. We are extracting online reviews for a product on periodic bases, each time after extraction, we carry out the following work: Firstly, identification of features of a product from customers’ opinions is done. Next, for each feature, its corresponding opinions’ are extracted and their orientation or polarity (positive/negative) is detected. The final polarity of feature-opinions pairs is calculated. At last, feature based summarizations of the reviews are generated, by extracting the relevant excerpts with respect to each feature-opinions pair and placing it into their respective feature based cluster. These feature based excerpts can easily be digested by the user.

关键词： Opinion mining Summarization Sentiment Classification Feature Based Clustering and Reviews

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DOROTHY: Integrating graphical programming with robotics to stimulate interest in computing careers 13

DOROTHY: Integrating graphical programming with robotics to ...

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2013 Alice Symposium, ALICE 2013

作者： South, David Ray, Austin Thomas, Kevin Graham, Stephanie Huff, Shiloh Rainge, Sarah Shuman, mary Sridharan, mohan Urban, Susan D. Urban, Joseph E. Peeler, Sabyne Texas Tech. University Department of Computer Science Lubbock TX 79409 United States University of North Carolina Charlotte Department of Computer Science Charlotte NC 28223 United States Texas Tech. University Department of Industrial Engineering Lubbock TX 79409 United States Florida A and M University Department of Computer and Information Sciences Tallahassee FL 32307 United States

ISBN: (纸本)9781450322508

This paper describes DOROTHY, a novel educational tool that enhances the Alice 3D programming environment to enable bidirectional communication of sensor data and commands with robots capable of autonomous operation. Users without any programming experience can quickly create graphical routines consisting of one or more simulated robots in virtual worlds. Command dictionaries and socket streams enable real-time translation of these routines to software for synchronous or asynchronous control of sensing and actuation on one or more mobile robots with on-board sensing, resulting in adaptive behavior in the real-world. multiple execution scenarios are described to illustrate the capabilities of the educational tool. Furthermore, the paper outlines a curriculum that can be used with the tool to teach core concepts of computing, concurrent execution and real-world sensing to middle school and high school students, thus stimulating interest in computing. © 2013 ACm.

关键词： mobile robots

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Double threshold energy aware load balancing in cloud computing

Double threshold energy aware load balancing in cloud comput...

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International Conference on Computing and Networking technology (ICCNT)

作者： Jayant Adhikari Sulabha Patil Department of M. Tech (Computer Science and Engineering) Tulsiramji Gaikwad-Patil College of Engineering and Technology Nagpur

ISBN: (纸本)9781479939275

Nowadays implementation of local cloud is popular, organization are becoming aware of power consumed by unutilized resources. Reducing power consumption has been an essential requirement for cloud environments not only to decrease operating cost but also improve the system reliability. The energy-aware computing is not just to make algorithms run as fast as possible, but also to minimize energy requirements for computation. Our DT-PALB (Double Threshold Energy Aware Load Balancing) algorithm maintains the state of all compute nodes, and based on utilization percentages, decides the number of compute nodes that should be operating. We show that our solution provides adequate availability to compute node resources while decreasing the overall power consumed by the local cloud as compared to using load balancing techniques that are power aware.

关键词： Virtual machining Load management Cloud computing Servers Heuristic algorithms Power demand Resource management

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STHREE: Stemmer for malayalam using three pass algorithm

STHREE: Stemmer for Malayalam using three pass algorithm

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International Conference on Control Communication & Computing India (ICCC)

作者： Pragisha K. P. C. Reghuraj Department of Computer Science Engineering M. Tech Computational Linguistics Palakkad India Department of Computer Science and Engineering Govt. Engg. College Sreekrishnapuram Palakkad India

This paper reports the design of a three pass stemmer STHREE for malayalam. The language is rich in morphological variations but poor in linguistic computational resources. The system returns the meaningful root word of the input word in 97% of the cases when tested with 1040 words. This is a significant improvement over the reported accuracy of SILPA system, the only known stemmer for malayalam, with the same test data sets.

关键词： Accuracy Natural language processing Computational linguistics Knowledge discovery computer science Algorithm design and analysis Educational institutions

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measurement of the Inelastic Proton-Proton Cross Section at s=13 TeV with the ATLAS Detector at the LHC

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Physical Review Letters 2016年第18期117卷 182002-182002页

作者： m. Aaboud G. Aad B. Abbott J. Abdallah O. Abdinov B. Abeloos R. Aben O. S. AbouZeid N. L. Abraham H. Abramowicz H. Abreu R. Abreu Y. Abulaiti B. S. Acharya L. Adamczyk D. L. Adams J. Adelman S. Adomeit T. Adye A. A. Affolder T. Agatonovic-Jovin J. Agricola J. A. Aguilar-Saavedra S. P. Ahlen F. Ahmadov G. Aielli H. Akerstedt T. P. A. Åkesson A. V. Akimov G. L. Alberghi J. Albert S. Albrand m. J. Alconada Verzini m. Aleksa I. N. Aleksandrov C. Alexa G. Alexander T. Alexopoulos m. Alhroob B. Ali m. Aliev G. Alimonti J. Alison S. P. Alkire B. m. m. Allbrooke B. W. Allen P. P. Allport A. Aloisio A. Alonso F. Alonso C. Alpigiani m. Alstaty B. Alvarez Gonzalez D. Álvarez Piqueras m. G. Alviggi B. T. Amadio K. Amako Y. Amaral Coutinho C. Amelung D. Amidei S. P. Amor Dos Santos A. Amorim S. Amoroso G. Amundsen C. Anastopoulos L. S. Ancu N. Andari T. Andeen C. F. Anders G. Anders J. K. Anders K. J. Anderson A. Andreazza V. Andrei S. Angelidakis I. Angelozzi P. Anger A. Angerami F. Anghinolfi A. V. Anisenkov N. Anjos A. Annovi C. Antel m. Antonelli A. Antonov F. Anulli m. Aoki L. Aperio Bella G. Arabidze Y. Arai J. P. Araque A. T. H. Arce F. A. Arduh J-F. Arguin S. Argyropoulos m. Arik A. J. Armbruster L. J. Armitage O. Arnaez H. Arnold m. Arratia O. Arslan A. Artamonov G. Artoni S. Artz S. Asai N. Asbah A. Ashkenazi B. Åsman L. Asquith K. Assamagan R. Astalos m. Atkinson N. B. Atlay K. Augsten G. Avolio B. Axen m. K. Ayoub G. Azuelos m. A. Baak A. E. Baas m. J. Baca H. Bachacou K. Bachas m. Backes m. Backhaus P. Bagiacchi P. Bagnaia Y. Bai J. T. Baines O. K. Baker E. m. Baldin P. Balek T. Balestri F. Balli W. K. Balunas E. Banas Sw. Banerjee A. A. E. Bannoura L. Barak E. L. Barberio D. Barberis m. Barbero T. Barillari m-S Barisits T. Barklow N. Barlow S. L. Barnes B. m. Barnett R. m. Barnett Z. Barnovska A. Baroncelli G. Barone A. J. Barr L. Barranco Navarro F. Barreiro J. Barreiro Guimarães da Costa R. Bartoldus A. E. Barton P. Bartos A. Basalaev A. Bassalat R. L. Bates S. J. Batista J. R. Batley m. Battaglia m. Bauce F. Faculté des Sciences Université Mohamed Premier and LPTPM Oujda Morocco CPPM Aix-Marseille Université and CNRS/IN2P3 Marseille France Homer L. Dodge Department of Physics and Astronomy University of Oklahoma Norman Oklahoma USA University of Iowa Iowa City Iowa USA Institute of Physics Azerbaijan Academy of Sciences Baku Azerbaijan LAL Univ. Paris-Sud CNRS/IN2P3 Université Paris-Saclay Orsay France Nikhef National Institute for Subatomic Physics and University of Amsterdam Amsterdam Netherlands Santa Cruz Institute for Particle Physics University of California Santa Cruz Santa Cruz California USA Department of Physics and Astronomy University of Sussex Brighton United Kingdom Raymond and Beverly Sackler School of Physics and Astronomy Tel Aviv University Tel Aviv Israel Department of Physics Technion: Israel Institute of Technology Haifa Israel Center for High Energy Physics University of Oregon Eugene Oregon USA Department of Physics Stockholm University Sweden The Oskar Klein Centre Stockholm Sweden INFN Gruppo Collegato di Udine Sezione di Trieste Udine Italy ICTP Trieste Italy AGH University of Science and Technology Faculty of Physics and Applied Computer Science Krakow Poland Physics Department Brookhaven National Laboratory Upton New York USA Department of Physics Northern Illinois University DeKalb Illinois USA Fakultät für Physik Ludwig-Maximilians-Universität München München Germany Particle Physics Department Rutherford Appleton Laboratory Didcot United Kingdom Oliver Lodge Laboratory University of Liverpool Liverpool United Kingdom Institute of Physics University of Belgrade Belgrade Serbia II Physikalisches Institut Georg-August-Universität Göttingen Germany Laboratório de Instrumentação e Física Experimental de Partículas—LIP Lisboa Portugal Departamento de Fisica Teorica y del Cosmos and CAFPE Universidad de Granada Granada Spain Department of Physics Boston University Boston Massachusetts USA Joint Institute for Nu

This Letter presents a measurement of the inelastic proton-proton cross section using 60 μb−1 of pp collisions at a center-of-mass energy s of 13 TeV with the ATLAS detector at the LHC. Inelastic interactions are selected using rings of plastic scintillators in the forward region (2.07<|η|<3.86) of the detector. A cross section of 68.1±1.4 mb is measured in the fiducial region ξ=mX2/s>10−6, where mX is the larger invariant mass of the two hadronic systems separated by the largest rapidity gap in the event. In this ξ range the scintillators are highly efficient. For diffractive events this corresponds to cases where at least one proton dissociates to a system with mX>13 GeV. The measured cross section is compared with a range of theoretical predictions. When extrapolated to the full phase space, a cross section of 78.1±2.9 mb is measured, consistent with the inelastic cross section increasing with center-of-mass energy.

关键词： Particle interactions Particle production Quark & gluon jets Hadron colliders

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Search for Higgs and Z Boson Decays to ϕγ with the ATLAS Detector

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Physical Review Letters 2016年第11期117卷 111802-111802页

作者： m. Aaboud G. Aad B. Abbott J. Abdallah O. Abdinov B. Abeloos R. Aben O. S. AbouZeid N. L. Abraham H. Abramowicz H. Abreu R. Abreu Y. Abulaiti B. S. Acharya L. Adamczyk D. L. Adams J. Adelman S. Adomeit T. Adye A. A. Affolder T. Agatonovic-Jovin J. Agricola J. A. Aguilar-Saavedra S. P. Ahlen F. Ahmadov G. Aielli H. Akerstedt T. P. A. Åkesson A. V. Akimov G. L. Alberghi J. Albert S. Albrand m. J. Alconada Verzini m. Aleksa I. N. Aleksandrov C. Alexa G. Alexander T. Alexopoulos m. Alhroob B. Ali m. Aliev G. Alimonti J. Alison S. P. Alkire B. m. m. Allbrooke B. W. Allen P. P. Allport A. Aloisio A. Alonso F. Alonso C. Alpigiani m. Alstaty B. Alvarez Gonzalez D. Álvarez Piqueras m. G. Alviggi B. T. Amadio K. Amako Y. Amaral Coutinho C. Amelung D. Amidei S. P. Amor Dos Santos A. Amorim S. Amoroso G. Amundsen C. Anastopoulos L. S. Ancu N. Andari T. Andeen C. F. Anders G. Anders J. K. Anders K. J. Anderson A. Andreazza V. Andrei S. Angelidakis I. Angelozzi P. Anger A. Angerami F. Anghinolfi A. V. Anisenkov N. Anjos A. Annovi C. Antel m. Antonelli A. Antonov F. Anulli m. Aoki L. Aperio Bella G. Arabidze Y. Arai J. P. Araque A. T. H. Arce F. A. Arduh J-F. Arguin S. Argyropoulos m. Arik A. J. Armbruster L. J. Armitage O. Arnaez H. Arnold m. Arratia O. Arslan A. Artamonov G. Artoni S. Artz S. Asai N. Asbah A. Ashkenazi B. Åsman L. Asquith K. Assamagan R. Astalos m. Atkinson N. B. Atlay K. Augsten G. Avolio B. Axen m. K. Ayoub G. Azuelos m. A. Baak A. E. Baas m. J. Baca H. Bachacou K. Bachas m. Backes m. Backhaus P. Bagiacchi P. Bagnaia Y. Bai J. T. Baines O. K. Baker E. m. Baldin P. Balek T. Balestri F. Balli W. K. Balunas E. Banas Sw. Banerjee A. A. E. Bannoura L. Barak E. L. Barberio D. Barberis m. Barbero T. Barillari m-S Barisits T. Barklow N. Barlow S. L. Barnes B. m. Barnett R. m. Barnett Z. Barnovska A. Baroncelli G. Barone A. J. Barr L. Barranco Navarro F. Barreiro J. Barreiro Guimarães da Costa R. Bartoldus A. E. Barton P. Bartos A. Basalaev A. Bassalat R. L. Bates S. J. Batista J. R. Batley m. Battaglia m. Bauce F. Faculté des Sciences Université Mohamed Premier and LPTPM Oujda Morocco CPPM Aix-Marseille Université and CNRS/IN2P3 Marseille France Homer L. Dodge Department of Physics and Astronomy University of Oklahoma Norman Oklahoma USA University of Iowa Iowa City Iowa USA Institute of Physics Azerbaijan Academy of Sciences Baku Azerbaijan LAL Université Paris-Sud CNRS/IN2P3 Université Paris-Saclay Orsay France Nikhef National Institute for Subatomic Physics and University of Amsterdam Amsterdam Netherlands Santa Cruz Institute for Particle Physics University of California Santa Cruz Santa Cruz California USA Department of Physics and Astronomy University of Sussex Brighton United Kingdom Raymond and Beverly Sackler School of Physics and Astronomy Tel Aviv University Tel Aviv Israel Department of Physics Technion: Israel Institute of Technology Haifa Israel Center for High Energy Physics University of Oregon Eugene Oregon USA Department of Physics Stockholm University Sweden The Oskar Klein Centre Stockholm Sweden INFN Gruppo Collegato di Udine Sezione di Trieste Udine Italy ICTP Trieste Italy AGH University of Science and Technology Faculty of Physics and Applied Computer Science Krakow Poland Physics Department Brookhaven National Laboratory Upton New York USA Department of Physics Northern Illinois University DeKalb Illinois USA Fakultät für Physik Ludwig-Maximilians-Universität München München Germany Particle Physics Department Rutherford Appleton Laboratory Didcot United Kingdom Oliver Lodge Laboratory University of Liverpool Liverpool United Kingdom Institute of Physics University of Belgrade Belgrade Serbia II Physikalisches Institut Georg-August-Universität Göttingen Germany Laboratório de Instrumentação e Física Experimental de Partículas - LIP Lisboa Portugal Departamento de Fisica Teorica y del Cosmos and CAFPE Universidad de Granada Granada (Spain) Portugal Department of Physics Boston University Boston Massachusetts USA Join

A search for the decays of the Higgs and Z bosons to a ϕ meson and a photon is performed with a pp collision data sample corresponding to an integrated luminosity of 2.7 fb−1 collected at s=13 TeV with the ATLAS detector at the LHC. No significant excess of events is observed above the background, and 95% confidence level upper limits on the branching fractions of the Higgs and Z boson decays to ϕγ of 1.4×10−3 and 8.3×10−6, respectively, are obtained.

关键词： Electroweak interaction Leptonic, semileptonic & radiative decays Higgs bosons Strange quark Hadron colliders

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measurement of the ZZ Production Cross Section in pp Collisions at s=13 TeV with the ATLAS Detector

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Physical Review Letters 2016年第10期116卷 101801-101801页

作者： G. Aad B. Abbott J. Abdallah O. Abdinov B. Abeloos R. Aben m. Abolins O. S. AbouZeid H. Abramowicz H. Abreu R. Abreu Y. Abulaiti B. S. Acharya L. Adamczyk D. L. Adams J. Adelman S. Adomeit T. Adye A. A. Affolder T. Agatonovic-Jovin J. Agricola J. A. Aguilar-Saavedra S. P. Ahlen F. Ahmadov G. Aielli H. Akerstedt T. P. A. Åkesson A. V. Akimov G. L. Alberghi J. Albert S. Albrand m. J. Alconada Verzini m. Aleksa I. N. Aleksandrov C. Alexa G. Alexander T. Alexopoulos m. Alhroob G. Alimonti L. Alio J. Alison S. P. Alkire B. m. m. Allbrooke B. W. Allen P. P. Allport A. Aloisio A. Alonso F. Alonso C. Alpigiani B. Alvarez Gonzalez D. Álvarez Piqueras m. G. Alviggi B. T. Amadio K. Amako Y. Amaral Coutinho C. Amelung D. Amidei S. P. Amor Dos Santos A. Amorim S. Amoroso N. Amram G. Amundsen C. Anastopoulos L. S. Ancu N. Andari T. Andeen C. F. Anders G. Anders J. K. Anders K. J. Anderson A. Andreazza V. Andrei S. Angelidakis I. Angelozzi P. Anger A. Angerami F. Anghinolfi A. V. Anisenkov N. Anjos A. Annovi m. Antonelli A. Antonov J. Antos F. Anulli m. Aoki L. Aperio Bella G. Arabidze Y. Arai J. P. Araque A. T. H. Arce F. A. Arduh J-F. Arguin S. Argyropoulos m. Arik A. J. Armbruster L. J. Armitage O. Arnaez H. Arnold m. Arratia O. Arslan A. Artamonov G. Artoni S. Artz S. Asai N. Asbah A. Ashkenazi B. Åsman L. Asquith K. Assamagan R. Astalos m. Atkinson N. B. Atlay K. Augsten G. Avolio B. Axen m. K. Ayoub G. Azuelos m. A. Baak A. E. Baas m. J. Baca H. Bachacou K. Bachas m. Backes m. Backhaus P. Bagiacchi P. Bagnaia Y. Bai J. T. Baines O. K. Baker E. m. Baldin P. Balek T. Balestri F. Balli W. K. Balunas E. Banas Sw. Banerjee A. A. E. Bannoura L. Barak E. L. Barberio D. Barberis m. Barbero T. Barillari m. Barisonzi T. Barklow N. Barlow S. L. Barnes B. m. Barnett R. m. Barnett Z. Barnovska A. Baroncelli G. Barone A. J. Barr L. Barranco Navarro F. Barreiro J. Barreiro Guimarães da Costa R. Bartoldus A. E. Barton P. Bartos A. Basalaev A. Bassalat A. Basye R. L. Bates S. J. Batista J. R. Batley m. Battaglia m. Bauce F. Bauer H. S. Ba CPPM Aix-Marseille Université and CNRS/IN2P3 Marseille France Homer L. Dodge Department of Physics and Astronomy University of Oklahoma Norman Oklahoma USA Institute of Physics Academia Sinica Taipei Taiwan Institute of Physics Azerbaijan Academy of Sciences Baku Azerbaijan LAL Univ. Paris-Sud CNRS/IN2P3 Université Paris-Saclay Orsay France Nikhef National Institute for Subatomic Physics and University of Amsterdam Amsterdam The Netherlands Department of Physics and Astronomy Michigan State University East Lansing Michigan USA Santa Cruz Institute for Particle Physics University of California Santa Cruz Santa Cruz California USA Raymond and Beverly Sackler School of Physics and Astronomy Tel Aviv University Tel Aviv Israel Department of Physics Technion: Israel Institute of Technology Haifa Israel Center for High Energy Physics University of Oregon Eugene Oregon USA Department of Physics Stockholm University Sweden The Oskar Klein Centre Stockholm Sweden INFN Gruppo Collegato di Udine Sezione di Trieste Udine Italy ICTP Trieste Italy AGH University of Science and Technology Faculty of Physics and Applied Computer Science Krakow Poland Physics Department Brookhaven National Laboratory Upton New York USA Department of Physics Northern Illinois University DeKalb Illinois USA Fakultät für Physik Ludwig-Maximilians-Universität München München Germany Particle Physics Department Rutherford Appleton Laboratory Didcot United Kingdom Oliver Lodge Laboratory University of Liverpool Liverpool United Kingdom Institute of Physics University of Belgrade Belgrade Serbia II Physikalisches Institut Georg-August-Universität Göttingen Germany Laboratório de Instrumentação e Física Experimental de Partículas—LIP Lisboa Portugal Departamento de Fisica Teorica y del Cosmos and CAFPE Universidad de Granada Granada Spain Department of Physics Boston University Boston Massachusetts USA Joint Institute for Nuclear Research JINR Dubna Dubna Russia INFN Sez

The ZZ production cross section in proton-proton collisions at 13 TeV center-of-mass energy is measured using 3.2 fb−1 of data recorded with the ATLAS detector at the Large Hadron Collider. The considered Z boson candidates decay to an electron or muon pair of mass 66–116 GeV. The cross section is measured in a fiducial phase space reflecting the detector acceptance. It is also extrapolated to a total phase space for Z bosons in the same mass range and of all decay modes, giving 16.7−2.0+2.2(stat)+0.9−0.7(syst)+1.0−0.7(lumi) pb. The results agree with standard model predictions.

关键词： Electroweak interaction Particle production W & Z bosons Hadron colliders multi-purpose particle detectors

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Analysis of Noise margin of CmOS Inverter in Sub-Threshold Regime

Analysis of Noise Margin of CMOS Inverter in Sub-Threshold R...

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Students Conference on engineering and Systems

作者： Ananda Sankar Chakraborty manash Chanda Chandan Kumar Sarkar M.Tech in the School of VLSI Technology Bengal Engineering and Science University Howrah -711103 India Assistant Professor in the Department of Electronics & Communication Engineering Meghnad Saha Institute of Technology Kolkata -700106 India Department of Electronics and Telecommunication Engineering Jadavpur University Kolkata-700032 India

ISBN: (纸本)9781467356282

In this paper, the Noise margin parameters of a CmOS inverter circuit in sub-threshold regime have been analyzed thoroughly with respect to variable supply voltage, transistor strength and temperature;without neglecting the significant DIBL and body bias effects. In particular, the change in the DC characteristics shape due to operation at ultra-low voltages is analyzed in detail, evaluating analytically the degradation in the logic swing, the symmetry and the steepness of the transition region, as well as the change in the unity-gain points and logic threshold points. Extensive simulations have been done under 45 nm CmOS technology using CADENCE Spice spectra to ensure the correctness of the analysis.

关键词： Analysis Noise margin

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N-gram based algorithm for distinguishing between Hindi and Sanskrit texts

N-gram based algorithm for distinguishing between Hindi and ...

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International Conference on Computing and Networking technology (ICCNT)

作者： C Sreejith m Indu P C Reghu Raj M. Tech Computational Linguistics Department of Computer Science and Engineering Govt. Engg. College Palakkad India-678633 Department of Computer Science and Engineering Govt. Engg. College Palakkad India-678633

Language Identification (LI) is the process of determining the natural language in which the given content is written. It is an important preprocessing step in many tasks of Natural Language Processing (NLP). In a multilingual society like India, automatic language identification has a wider scope, since it would be a vital step in bridging the digital divide between the Indian masses and others. In this paper, we present an N-gram based method of language identification for documents written in Hindi and Sanskrit, which have the same script and the results are shown. The technique can also be applied to other pairs of Indian languages sharing common scripts.

关键词： Training Testing Natural language processing Educational institutions Predictive models Pragmatics

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