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Institution

Vaughn College of Aeronautics and Technology

EducationNew York, New York, United States
About: Vaughn College of Aeronautics and Technology is a education organization based out in New York, New York, United States. It is known for research contribution in the topics: Gravitational microlensing & Planetary system. The organization has 727 authors who have published 708 publications receiving 14082 citations. The organization is also known as: College of Aeronautics.


Papers
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Journal ArticleDOI
Andrew Gould1, Jennifer C. Yee1, Ian A. Bond2, Andrzej Udalski3, C. Han4, U. G. Jørgensen5, J. G. Greenhill6, Yiannis Tsapras7, Marc H. Pinsonneault1, Thomas Bensby8, William H. Allen, Leonardo A. Almeida9, M. Bos, G. W. Christie, Darren L. DePoy10, Subo Dong1, B. S. Gaudi1, L-W Hung1, Francisco Jablonski9, C-U Lee11, Jennie McCormick, D. Moorhouse, J. A. Muñoz12, Tim Natusch13, M. Nola, Richard W. Pogge1, Jan Skowron1, G. Thornley, Fumio Abe14, David P. Bennett15, C. S. Botzler16, P. Chote17, M. Freeman16, Akihiko Fukui, K. Furusawa14, P. Harris17, Yoshitaka Itow14, C. H. Ling2, Kimiaki Masuda14, Yutaka Matsubara14, N. Miyake14, Kouji Ohnishi, Nicholas J. Rattenbury16, To. Saito18, Denis J. Sullivan17, Takahiro Sumi14, Daisuke Suzuki19, Winston L. Sweatman2, Paul J. Tristram, K. Wada19, P. C. M. Yock16, Michał K. Szymański3, Igor Soszyński3, M. Kubiak3, Radosław Poleski3, Krzysztof Ulaczyk3, Grzegorz Pietrzyński20, L. Wyrzykowski, Khalid Al-Subai21, Valerio Bozza22, P. Browne23, Martin Burgdorf24, S. Calchi Novati, Peter N. Dodds23, Martin Dominik23, François Finet25, T. Gerner26, S. Hardis5, K. B. W. Harpsøe5, Frederic V. Hessman27, Tobias C. Hinse11, M. Hundertmark23, N. Kains23, Eamonn Kerins28, C. Liebig23, Luigi Mancini22, M. Mathiasen5, Matthew T. Penny28, S. Proft26, Sohrab Rahvar29, Davide Ricci25, Kailash C. Sahu30, Gaetano Scarpetta, S. Schaefer16, F. Schoenebeck, Colin Snodgrass31, John Southworth32, Jean Surdej27, Joachim Wambsganss26, Rachel Street7, Keith Horne23, D. M. Bramich, Iain A. Steele33, Michael D. Albrow34, Etienne Bachelet35, V. Batista36, Thomas G. Beatty1, J-P Beaulieu36, C. S. Bennett37, R. Bowens-Rubin37, S. Brillant38, John A. R. Caldwell, Arnaud Cassan36, Andrew A. Cole6, E. Corrales36, C. Coutures36, S. Dieters6, D. Dominis Prester39, J. Donatowicz40, Pascal Fouqué35, Calen B. Henderson1, D. Kubas36, J-B Marquette36, R. Martin, J. W. Menzies, Benjamin J. Shappee1, Andrew Williams, J. van Saders1, M. Zub26 
TL;DR: In this paper, the authors combine long-term photometric monitoring with a previously published high-resolution spectrum taken near peak to demonstrate that this is an RS CVn variable, so that planetary microlensing is not required to explain the light-curve deviations.
Abstract: The Galactic bulge source MOA-2010-BLG-523S exhibited short-term deviations from a standard microlensing light curve near the peak of an A(max) similar to 265 high-magnification microlensing event. The deviations originally seemed consistent with expectations for a planetary companion to the principal lens. We combine long-term photometric monitoring with a previously published high-resolution spectrum taken near peak to demonstrate that this is an RS CVn variable, so that planetary microlensing is not required to explain the light-curve deviations. This is the first spectroscopically confirmed RS CVn star discovered in the Galactic bulge.

21 citations

Journal ArticleDOI
TL;DR: This paper employs a two-layer blockchain architecture in TrafficChain to improve system efficiency, design a privacy-preserving scheme to protect users’ identities and travel traces, and devise LSTM based deep learning mechanisms that can defend against Byzantine attacks and Sybil attacks in the system.
Abstract: Intelligent Connected Vehicles (ICVs) can provide smart, safe, and efficient transportation services and have attracted intensive attention recently. Obtaining timely and accurate traffic information is one of the most important problems in transportation systems, which would allow people to select fast routes and avoid congestions, thus saving their travel time on the road. Currently, the most popular ways to obtain traffic information is to inquire navigation agents, e.g., Apple map, and Google map. However, these navigation agents are essentially centralized systems, which are vulnerable to service congestions, a single point of failure, and attacks. Furthermore, users' privacy gets compromised as the agents can know their home and work addresses and hence their identities, track them in real-time, etc. In this paper, we propose TrafficChain, a secure and privacy-preserving decentralized traffic information collection system on the blockchain, by taking advantage of fog/edge computing infrastructure. In particular, we employ a two-layer blockchain architecture in TrafficChain to improve system efficiency, design a privacy-preserving scheme to protect users' identities and travel traces, and devise LSTM based deep learning mechanisms that can defend against Byzantine attacks and Sybil attacks in our system. Furthermore, an incentive mechanism is designed to motivate users to participate in the system. Simulation results show that TrafficChain works very efficiently and is resilient to both Byzantine attacks and Sybil attacks.

21 citations

Journal ArticleDOI
TL;DR: A comparative evaluation of two data smoothing algorithms for use in a two step estimation-beforemodelling procedure for aircraft parameter identification concluded that the fixed lag smoother algorithm is an acceptable alternative to the modified-Bryson-Frazier algorithm in aircraft parameter Identification applications.
Abstract: Abstract This paper describes a comparative evaluation of two data smoothing algorithms for use in a two step estimation-beforemodelling procedure for aircraft parameter identification. A simple fixed lag smoother is compared with the usual, and more complex, modified-Bryson-Frazier smoother in the first, state estimation, step of the aircraft parameter identification procedure. The comparison is illustrated by application to the analysis of the Dutch Roll motion of the Embraer EMB-312 Tucano. Both algorithms were found to give results of comparable accuracy although the fixed lag smoother is computationally more efficient. It was concluded that the fixed lag smoother algorithm is an acceptable alternative to the modified-Bryson-Frazier algorithm in aircraft parameter identification applications.

21 citations

Journal ArticleDOI
TL;DR: The mass of the lenses giving rise to Galactic microlensing events can be constrained by measuring the relative lenssource proper motion and lens flux as mentioned in this paper, which can be separated from that of the source, companions to the source and unrelated nearby stars with high-resolution images taken when the lens and source are spatially resolved.
Abstract: The mass of the lenses giving rise to Galactic microlensing events can be constrained by measuring the relative lenssource proper motion and lens flux. The flux of the lens can be separated from that of the source, companions to the source, and unrelated nearby stars with high-resolution images taken when the lens and source are spatially resolved.

21 citations

Journal ArticleDOI
TL;DR: In this article, a study of the response of a diffusion flame sheet to perturbations of reactant concentration which are introduced, either as changes in the free streams, or as appropriate initial distributions throughout the field.
Abstract: A study is made of the response of a diffusion flame sheet to perturbations of reactant concentration which are introduced, either as changes in the free streams, or as appropriate initial distributions throughout the field. Species’ and energy conservation requirements are approximated by linearized boundary-layer equations; general solutions are derived for species, enthalpy and temperature distributions, as well as for the flame sheet shape, and a number of specific problems are solved.

21 citations


Authors

Showing all 732 results

NameH-indexPapersCitations
Xiang Zhang1541733117576
Denis J. Sullivan6133214092
To. Saito511839392
Arthur H. Lefebvre411234896
Michele Meo402235557
Robin S. Langley402635601
Ning Qin372835011
Holger Babinsky332424068
B. S. Gaudi31642560
Philip J. Longhurst29802578
Michael Gaster27663998
Don Harris261292537
To. Saito25562362
John F. O'Connell22891763
Rade Vignjevic21841563
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20236
20223
202145
202033
201934
201841