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2011

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Articles 31 - 43 of 43

Full-Text Articles in Aviation

Characterization Of Graphite Composite Material Particulates From Usaf Aircraft Maintenance Operations, Richard E. Yon Mar 2011

Characterization Of Graphite Composite Material Particulates From Usaf Aircraft Maintenance Operations, Richard E. Yon

Theses and Dissertations

Due to the benefits of their material properties, advanced composite materials (ACM) are increasingly being used as structural components on aircraft, especially within the United States Air Force. As a result, the potential exists for occupational exposures to structural maintenance employees while repairing and fabricating aircraft components. Two field studies were conducted for this thesis in order to characterize ACM aerosol size distribution, determine the feasibility of utilizing direct reading instruments (DRIs) in the field, and ensure workers are protected with adequate controls. In order to characterize exposure, traditional integrated air sampling and DRIs were positioned together near an ACM …

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Dealing With Contaminated Runways, Nihad E. Daidzic Feb 2011

Dealing With Contaminated Runways, Nihad E. Daidzic

Aviation Department Publications

No abstract provided.

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The Name Game As Blame Game: The Domodedovo Terrorist Bombing, Ibpp Editor Jan 2011

The Name Game As Blame Game: The Domodedovo Terrorist Bombing, Ibpp Editor

International Bulletin of Political Psychology

The author discusses the relevance of blame in the context of terrorism.

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Flying Uav’S In Iraq, Stephen Rayleigh Jan 2011

Flying Uav’S In Iraq, Stephen Rayleigh

ERAU Prescott Aviation History Program

Unmanned Aerial Vehicles, or UAV’s, are a growing reality and an important new weapon for today’s military. Hear what it was like to fly the RQ-7B “Shadow” UAV during Operation Iraqi Freedom from Stephen Rayleigh who spent a year in Iraq and has more than 1,000 hours experience flying them.

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A Midsummer Night’S Dream (With Flying Robots), Robin Murphy, Dylan Shell, Amy Guerin, Brittany Duncan, Benjamin Fine, Kevin Pratt, Takis Zourntos Jan 2011

A Midsummer Night’S Dream (With Flying Robots), Robin Murphy, Dylan Shell, Amy Guerin, Brittany Duncan, Benjamin Fine, Kevin Pratt, Takis Zourntos

School of Computing: Faculty Publications

Seven flying robot “fairies” joined human actors in the Texas A&M production of William Shakespeare’s A Midsummer Night’s Dream. The production was a collaboration between the departments of Computer Science and Engineering, Electrical and Computer Engineering, and Theater Arts. The collaboration was motivated by two assertions. First, that the performing arts have principles for creating believable agents that will transfer to robots. Second, the theater is a natural testbed for evaluating the response of untrained human groups (both actors and the audience) to robots interacting with humans in shared spaces, i.e., were believable agents created? The production used two types …

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The Effects Of System Reliability And Task Uncertainty On Unmanned Aerial Vehicle Operator Performance Under High Time Pressure, Manuela Jaramillo Jan 2011

The Effects Of System Reliability And Task Uncertainty On Unmanned Aerial Vehicle Operator Performance Under High Time Pressure, Manuela Jaramillo

Master's Theses - Daytona Beach

For many years, the military has understood the value and versatility of Unmanned Aerial Systems (UAS). In the recent years, UASs have sparked the interest of other fields, and in the very near future, they will be introduced into the National Airspace System (NAS). With this inclusion come new concerns. Due to the future wide range applications for UASs, it is important to explore factors, which may affect operator performance. The UAS operator task differs from that of a manned aircraft pilot. An UAS operator does not get the same sensory cues as a pilot and their field of vision …

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Uniform And Partially Uniform Redistribution Rules, Florentin Smarandache, Jean Dezert Jan 2011

Uniform And Partially Uniform Redistribution Rules, Florentin Smarandache, Jean Dezert

Branch Mathematics and Statistics Faculty and Staff Publications

This paper introduces two new fusion rules for combining quantitative basic belief assignments. These rules although very simple have not been proposed in literature so far and could serve as useful alternatives because of their low computation cost with respect to the recent advanced Proportional Conflict Redistribution rules developed in the DSmT framework.

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Evidence Supporting Measure Of Similarity For Reducing The Complexity In Information Fusion, Xinde Li, Jean Dezert, Florentin Smarandache, Xinhan Huang Jan 2011

Evidence Supporting Measure Of Similarity For Reducing The Complexity In Information Fusion, Xinde Li, Jean Dezert, Florentin Smarandache, Xinhan Huang

Branch Mathematics and Statistics Faculty and Staff Publications

This paper proposes a new solution for reducing the number of sources of evidence to be combined in order to diminish the complexity of the fusion process required in some applications where the real-time constraint and strong computing resource limitation are of prime importance. The basic idea consists in selecting, among the whole set of sources of evidence, only the biggest subset of sources which are not too contradicting based on a criterion of Evidence Supporting Measure of Similarity (ESMS) in order to process solely the coherent information received. The ESMS criterion serves actually as a generic tool for outlier …

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Imbalanced Learning For Functional State Assessment, Feng Li, Frederick Mckenzie, Jiang Li, Guanfan Zhang, Roger Xu, Carl Richey, Tom Schnell, Thomas E. Pinelli (Ed.) Jan 2011

Imbalanced Learning For Functional State Assessment, Feng Li, Frederick Mckenzie, Jiang Li, Guanfan Zhang, Roger Xu, Carl Richey, Tom Schnell, Thomas E. Pinelli (Ed.)

Electrical & Computer Engineering Faculty Publications

This paper presents results of several imbalanced learning techniques applied to operator functional state assessment where the data is highly imbalanced, i.e., some function states (majority classes) have much more training samples than other states (minority classes). Conventional machine learning techniques usually tend to classify all data samples into majority classis and perform poorly for minority classes. In this study, we implemented five imbalanced learning techniques, including random under-sampling, random over-sampling, synthetic minority over-sampling technique (SMOTE), borderline-SMOTE and adaptive synthetic sampling (ADASYN) to solve this problem. Experimental results on a benchmark driving test dataset show that accuracies for minority classes …

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A Systematic Approach For Engagement Analysis Under Multitasking Environments, Guangfan Zhang, John Leddo, Roger Xu, Carl Richey, Tom Schnell, Frederick Mckenzie, Jiang Li, Thomas E. Pinelli (Ed.) Jan 2011

A Systematic Approach For Engagement Analysis Under Multitasking Environments, Guangfan Zhang, John Leddo, Roger Xu, Carl Richey, Tom Schnell, Frederick Mckenzie, Jiang Li, Thomas E. Pinelli (Ed.)

Electrical & Computer Engineering Faculty Publications

An overload condition can lead to high stress for an operator and further cause substantial drops in performance. On the other extreme, in automated systems, an operator may become underloaded; in which case, it is difficult for the operator to maintain sustained attention. When an unexpected event occurs, either internal or external to the automated system, a disengaged operation may neglect, misunderstand, or respond slowly/inappropriately to the situation. In this paper, we discuss a systematic approach monitor for extremes of cognitive workload and engagement in multitasking environments. Inferences of cognitive workload and engagement are based on subjective evaluations, objective performance …

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Automatic Detection Of Aircraft Emergency Landing Sites, Yu-Fei Shen, Zia-Ur Rahman, Dean Krusienski, Jiang Li, Zia-Ur Rahman (Ed.), Stephen E. Reichenbach (Ed.), Mark Allen Neifeld (Ed.) Jan 2011

Automatic Detection Of Aircraft Emergency Landing Sites, Yu-Fei Shen, Zia-Ur Rahman, Dean Krusienski, Jiang Li, Zia-Ur Rahman (Ed.), Stephen E. Reichenbach (Ed.), Mark Allen Neifeld (Ed.)

Electrical & Computer Engineering Faculty Publications

An automatic landing site detection algorithm is proposed for aircraft emergency landing. Emergency landing is an unplanned event in response to emergency situations. If, as is unfortunately usually the case, there is no airstrip or airfield that can be reached by the un-powered aircraft, a crash landing or ditching has to be carried out. Identifying a safe landing site is critical to the survival of passengers and crew. Conventionally, the pilot chooses the landing site visually by looking at the terrain through the cockpit. The success of this vital decision greatly depends on the external environmental factors that can impair …

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An Overview Of The Low-Cost Carrier Model In The Russian Market, Tamilla Curtis, Dawna L. Rhoades Jan 2011

An Overview Of The Low-Cost Carrier Model In The Russian Market, Tamilla Curtis, Dawna L. Rhoades

Publications

This study provides an overview of the low-cost carrier (LCC) model in the Russian market. The LCC model seeks to achieve a competitive advantage through the reduction of operating costs, below the traditional airline model. Since Russia is an emerging and developing economy, airlines face a high level of uncertainty. Despite the fact that the Russian aviation market is dominated by a few large carriers, Russian lowcost airlines such as SkyExpress and Avianova have been growing rapidly since starting their operations. While Russian LCCs follow the traditional LCC model, some differences are apparent as a result of the specifics of …

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Risk Perception Analysis Of A Small Aircraft Transportation System, David S. Ferrel, Thomas Q. Carney, Scott R. Winter Jan 2011

Risk Perception Analysis Of A Small Aircraft Transportation System, David S. Ferrel, Thomas Q. Carney, Scott R. Winter

Publications

This study examines the impact and relationship between demographic factors and risk perceptions toward Small Aircraft Transportation Systems (SATS). The study included 178 participants who responded to an electronic survey administered to Purdue University faculty members and to selected leaders within the Purdue Intercollegiate Athletics department. Participants were surveyed as to their demographic identities including gender, age, academic position, and aviation familiarity, as well as their perceptions of physical, financial, and status risk from a SATS program. Results of this study showed that certain demographic factors are significant predictors of certain SATS travel risk perceptions. Participants’ intentions to travel via …

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