3225 Slices
Medium 9781601323170

WUTexter: A Classroom Interaction Tool For Anybody Who Can Text

Hamid R. Arabnia Azita Bahrami, Leonidas Deligiannidis, George Jandieri, Ashu M. G. Solo, and Fernando G. Tinetti CSREA Press PDF

Int'l Conf. Frontiers in Education: CS and CE | FECS'14 |

87

WUTexter: A Classroom Interaction Tool For Anybody Who Can

Text

Benjamin Murray, Hunter LaTourette1, and Ron K. Cytron1

1 Department of Computer Science and Engineering, Washington University, St. Louis, Missouri, USA

Abstract— The classroom experience is enhanced for both teacher and student alike when feedback mechanisms are in place to measure the students’ engagement. Specialized devices such as the iClicker have been developed along these lines, but these devices have limited range and use.

This paper describes the design and implementation of a device that can be used within reach of the Internet or cell tower, allowing students to interact with the instructor in the classroom by sending simple text messages. The application currently accommodates polls, student-supplied questions, and a mechanism to express confusion or boredom. We provide some early anecdotal experiences using this device, articulate plans for the future, and describe how others can use this technology in their own settings.

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Medium 9781601324153

Poster Papers

Hamid R. Arabnia, Leonidas Deligiannidis, Ashu M. G. Solo, Fernando G. Tinetti (Editors) CSREA Press PDF

Int'l Conf. Internet Computing and Big Data | ICOMP'15 |

75

Big Data on Performance Logs –

A Collaborative Monitoring Cloud for ERP Systems

H. Müller1 and K. Turowski1

Very Large Business Applications Lab, Otto von Guericke University, Magdeburg, Germany

1

Abstract - Although outsourcing is a viable instrument to save operational costs, the majority of ERP systems is still operated in-house due to privacy, security and dependency concerns coupled with ERP’s exceptional significance for business continuity. In this abstract paper, we propose a research artefact that is planned to become an alternative option to classical in-house or off-promises operation models and enables fully controlled in-house operation with cloudsupported performance analyses. Therefore, we started to analyze 230 million performance log entries of about 8,700 standard SAP ERP systems and evaluate its suitability for a value creating Big Data scenario. Integrating performance data and hardware information of ERP systems enables crosssystem and cross-customer analyses and, potentially, to deliver additional knowledge to ERP operating IT departments through a cloud service.

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Medium 9781601322548

Hyperspectral Compression using Specialized Spectral Sensitivity Functions

Hamid R. Arabnia; Leonidas Deligiannidis; Joan Lu; Fernando G. Tinetti; Jane You; George Jandieri; Gerald Schaefer; Ashu M. G. Solo; and Vladimir Volkov (Editors) Mercury Learning and Information PDF

948

Int'l Conf. IP, Comp. Vision, and Pattern Recognition | IPCV'13 |

Hyperspectral Compression using Specialized Spectral Sensitivity Functions

Kaveh Heidary

Department of Electrical Engineering and Computer Science, Alabama A&M University

PO Box 702 Normal AL 35762 USA, kaveh.heidary@aamu.edu

Abstract

Synthetic-color is the use of technology to emulate the basic means by which animals acquire and use spectral information. It begins with sensing of the scene using multiple broad and overlapping spectral sensitivity functions analogous with cone cells of the human vision system. In this paper we develop an algorithm to obtain a set of near-optimal application-specific spectral sensitivity functions for synthetic-color systems. The user-designed sensitivity functions result in concurrent good intra-class packing and interclass integrity in the synthetic-color space for reflectance classes with known statistics. This method leads to improved color discrimination and results in more robust spectral classifiers.

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Medium 9781601323262

Enhanced Automated Data Dependency Analysis for Functionally Correct Parallel Code

Hamid R. Arabnia, Lou D'Alotto, Hiroshi Ishii, Minoru Ito, Kazuki Joe, Hiroaki Nishikawa, Georgios Sirakoulis, William Spataro, Giuseppe A. Trunfio, George A. Gravvanis, George Jandieri, Ashu M. G. Solo, Fernando G. Tinetti CSREA Press PDF

312

Int'l Conf. Par. and Dist. Proc. Tech. and Appl. | PDPTA'14 |

Enhanced Automated Data Dependency Analysis for Functionally

Correct Parallel Code

Prasad Pawar1 , Pramit Mehta1 , Naveen Boggarapu1 , and Léo Grange1

1 Center for Research of Engineering Sciences and Technology (CREST), KPIT Technologies Ltd., Pune, India

Abstract— There is a growing interest in the migration of legacy sequential applications to multicore hardware while ensuring functional correctness powered by automatic parallelization tools. OpenMP eases the loop parallelization process, but the functional correctness of parallelized code is not ensured. We present a methodology to automatically analyze and prepare OpenMP constructs for automatic parallelization, guaranteeing functional correctness while benefiting from multicore hardware capabilities. We also present a framework for procedural analysis, and emphasize the implementation aspects of this methodology. Additionally, we cover some of the imperative enhancements to existing dependency analysis tests, like handling of unknown loop bounds. This method was used to parallelize an Advance Driver Assistance System (ADAS) module for Lane

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Medium 9781601323125

Finite Element Analysis of Five-Transmission Lines Embedded in Four-Layered Dielectric Media

Hamid R. Arabnia, George A. Gravvanis, George Jandieri, Ashu M. G. Solo, and Fernando G. Tinetti CSREA Press PDF

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