V
Vincent Oria
Researcher at New Jersey Institute of Technology
Publications - 100
Citations - 2301
Vincent Oria is an academic researcher from New Jersey Institute of Technology. The author has contributed to research in topics: Query optimization & Image retrieval. The author has an hindex of 17, co-authored 98 publications receiving 2092 citations. Previous affiliations of Vincent Oria include University of Alberta.
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Journal ArticleDOI
Flexible integration of multimedia sub-queries with qualitative preferences
TL;DR: The potentialities of a more general approach, based on the use of qualitative preferences, able to define arbitrary partial orders on database objects, are explored, so that a larger flexibility is gained in shaping what the user is looking for.
Proceedings ArticleDOI
PARINET: A tunable access method for in-network trajectories
TL;DR: PARINET is a new access method to efficiently retrieve the trajectories of objects moving in networks based on a combination of graph partitioning and a set of composite B+-tree local indexes that significantly outperforms both MON-tree and another R-tree based access method which are the reference indexing techniques for in-network trajectory databases.
Journal ArticleDOI
An Interactive Multi-instrument Database of Solar Flares
Viacheslav M. Sadykov,Alexander G. Kosovichev,Alexander G. Kosovichev,Vincent Oria,Gelu M. Nita +4 more
TL;DR: The Interactive Multi-Instrument Database of Solar Flares (IMIDSF, https://solarflare.njit.edu/) is a web-accessible database that allows the user to search for uniquely identified solar flare events based on their physical descriptors and the availability of observations by a particular set of instruments as mentioned in this paper.
Proceedings Article
Modeling Video Data for Content Based Queries: Extending the DISIMA Image Data Model
TL;DR: An efficient video data model is presented that extends the DISIMA image data model by adding the video components and setting up links between image and video data, and MOQL is used as a query language.
Journal ArticleDOI
Review of Solar Energetic Particle Models
K. Whitman,Ricky Egeland,Ian G. Richardson,Clay Allison,Philip Quinn,Janet E. Barzilla,I. N. Kitiashvili,Viacheslav M. Sadykov,Hazel Bain,M. Dierckxsens,M. Leila Mays,Tilaye Tadesse,Kerry Lee,Edward Semones,Janet G. Luhmann,Marlon Nunez,Stephen M. White,Stephen W. Kahler,A. G. Ling,D. F. Smart,M.A. Shea,Valeriy Tenishev,Soukaina Filali Boubrahimi,Berkay Aydin,Piet Martens,Rafal A. Angryk,M. S. Marsh,Silvia Dalla,Norma Crosby,Nathan A. Schwadron,Kamen Kozarev,M. Gorby,Matthew A. Young,Monica Laurenza,Edward W. Cliver,Tommaso Alberti,Mirko Stumpo,Simone Benella,Athanasios Papaioannou,Anastasios Anastasiadis,Ingmar Sandberg,Manolis K. Georgoulis,Anli Ji,Dustin J. Kempton,Chetraj Pandey,Gang Li,Junxiang Hu,Gary P. Zank,E. Lavasa,Giorgos Giannopoulos,David A. Falconer,Yash Kadadi,Ian Fernandes,Maher A. Dayeh,Andrés Muñoz-Jaramillo,Subhamoy Chatterjee,Kim Moreland,Igor M. Sokolov,Ilia I. Roussev,Aleksandre Taktakishvili,Frederic Effenberger,Tamas Gombosi,Zhenguang Huang,Lulu Zhao,Nicolas Wijsen,Angels Aran,Stefaan Poedts,Athanasios Kouloumvakos,Miikka Paassilita,Rami Vainio,A. V. Belov,E. A. Eroshenko,Maria Abunina,A. A. Abunin,Christopher C. Balch,Olga Malandraki,M. Karavolos,Bernd Heber,Johannes Labrenz,Patrick Kühl,Alexander G. Kosovichev,Vincent Oria,Gelu M. Nita,Egor Illarionov,Patrick O'Keefe,Yucheng Jiang,Sheldon Fereira,Aatiya Ali,Evangelos Paouris,Sigiava Aminalragia-Giamini,Piers Jiggens,Meng Jin,Christina O. Lee,Erika Palmerio,Alessandro Bruno,Spiridon Kasapis,Xiantong Wang,Yang Chen,Blai Sanahuja,David Lario,Carla Jacobs,Du Toit Strauss,Ruhann Steyn,J. den Berg,Bill Swalwell,Charlotte Waterfall,Mohamed Nedal,Rositsa Miteva,M. Dechev,Pietro Zucca,A. Engell,Brian L. Maze,H. L. Farmer,Thuha Kerber,B. F. Barnett,Jeremy S. Loomis,Nathan Grey,Barbara J. Thompson,Jon A. Linker,Ronald M. Caplan,Cooper Downs,T. Török,Roberto Lionello,Viacheslav S. Titov,Min Zhang,Pouya Hosseinzadeh +125 more
TL;DR: In this article , the authors summarize all of the SEP models currently developed in the scientific community, including a description of model approach, inputs and outputs, free parameters, and any published validations or comparisons with data.