A Nested Attention Neural Hybrid Model for Grammatical Error Correction

Grammatical error correction (GEC) systems strive to correct both global errors in word order and usage, and local errors in spelling and inflection. Further developing upon recent work on neural machine translation, we propose a new hybrid neural model with nested attention layers for GEC. Experiments show that the new model can effectively correct errors of both types by incorporating word and character-level information,and that the model significantly outperforms previous neural models for GEC as measured on the standard CoNLL-14 benchmark dataset. Further analysis also shows that the superiority of the proposed model can be largely attributed to the use of the nested attention mechanism, which has proven particularly effective in correcting local errors that involve small edits in orthography

The world is doomed… Let’s make apps! Sliding Technology Talent Towards Social Entrepreneurship

This project investigates the motivations of technology entrepreneurs and social entrepreneurs for starting new ventures. The driving personal motivations and external, systemic influences on entrepreneurs’ decision making is explored and structured through analytical frameworks. Research consists of a comprehensive literature review that establishes the context and foundational knowledge around the catalysts of entrepreneurialism, both in the high tech and social enterprise sectors; a series of semi-structured one-on-one interviews with technology and social entrepreneurs; and a series of expert interviews with venture capital investors and organizations that support startups. The output of this research is new, primary-research driven insights on entrepreneurial decision making; a stakeholder matrix and systemigram that visually summarizes the problem system; a new framework with which to examine the challenge of shifting technology entrepreneurs towards social benefit efforts; and a series of design recommendations to stakeholders who benefit from implementing that shift

Pilot Training Metrics at a Part 141 University Training Program

The study evaluates training at a collegiate flight training program providing metrics for time and costs from zero time to a Private Pilot. Training times for flights and activities are pulled from a sophisticated database used at Embry-Riddle Aeronautical University (ERAU) and matched with flight and ground school lessons and then further subdivided to determine the amount of time spent training in areas of operation that are prescribed by the Federal Aviation Administration in the published Practical Test Standards and Airman Certification Standards for those seeking pilot licenses and ratings. Provided are mean times and costs for a prospective pilot to attain Private licenses at Embry-Riddle. The records of 286 students in the FAA approved Private pilot course were pulled, de-identified, and analyzed. ANOVA was used to compare the training times across areas of operation. The results provide insight into those areas requiring the most training and would perhaps benefit the Simplified Vehicle Operation program at NASA by helping to identify candidate technologies proposed to be developed by the program office

Real-time automated failure identification in the Control Center Complex (CCC)

A system which will provide real-time failure management support to the Space Station Freedom program is described. The system's use of a simplified form of model based reasoning qualifies it as an advanced automation system. However, it differs from most such systems in that it was designed from the outset to meet two sets of requirements. First, it must provide a useful increment to the fault management capabilities of the Johnson Space Center (JSC) Control Center Complex (CCC) Fault Detection Management system. Second, it must satisfy CCC operational environment constraints such as cost, computer resource requirements, verification, and validation, etc. The need to meet both requirement sets presents a much greater design challenge than would have been the case had functionality been the sole design consideration. The choice of technology, discussing aspects of that choice and the process for migrating it into the control center is overviewed

December 2020 School of Graduate Studies Newsletter

Associate Dean\u27s Message Ph.D. In Aviation News Dissertation Defenses MSA News MSOSM News MSUS News Alumni News Equality Matters Scholarly Activity Happy Holidays!https://commons.erau.edu/db-sgs-newletter/1017/thumbnail.jp

May 2020 School of Graduate Studies Newsletter

Message from the Dean Message from the Associate Dean Scholarly Activity Ph.D. in Aviation Dissertation Defenses Life-Long Learner MSA News MSA Student of the Year United Airlines Internship MSOSM News MSUS Newshttps://commons.erau.edu/db-sgs-newletter/1000/thumbnail.jp

May 2021 School of Graduate Studies Newsletter

Associate Dean\u27s Message Ph.D. In Aviation News Dissertation Defenses MSA News MSOSM News Alumni News Scholarly Activity SGS Contactshttps://commons.erau.edu/db-sgs-newletter/1018/thumbnail.jp

May 2022 School of Graduate Studies Newsletter

Message from the Associate Dean Ph.D. in Aviation News MS in Aviation News MSOSM News MSUS News Eagle News Forever an Eagle College of Aviation Academic Awards Scholarly Activity Daytona Beach Campus Nhttps://commons.erau.edu/db-sgs-newletter/1020/thumbnail.jp