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Probabilistic Data Consistency for Wide-Area Applications

Hengming Zou, N. Soparkar, F. Jahanian
Proceedings of 16th International Conference on Data Engineering (Cat. No.00CB37073)  
Introduction Wide-area applications, such as electronic commerce, groupware, directory service etc., rely on distributed data management services which often employ data replication to meet availability  ...  That is, from the perspective of a client, the system provides a probabilistic data consistency guarantee.  ... 
doi:10.1109/icde.2000.839393 dblp:conf/icde/ZouSJ00 fatcat:ztdfaq66e5eyloqwwnxk6zpdce

Page 69 of American Society of Civil Engineers. Collected Journals Vol. 121, Issue 1 [page]

1995 American Society of Civil Engineers. Collected Journals  
A similar probabilistic approach would be applicable to other types of catchments with observed flood data, such as urban and surface mining areas.  ...  Values of both parameters were derived on a probabilistic basis for 105 catchments in the southeast region of Queensland, Australia, with areas of 0.01- 1000 km’, using flood and rainfall frequency data  ... 

50 & 25 Years Ago

Erich Neuhold
2021 Computer  
Therefore, we will have to skip our interesting and/or informative extractions for December.  ...  The next one will appear in the January 2022 issue of Computer, and we hope you will eagerly wait for our next publication of this column.  ...  A careful analysis of the remaining loops that Polaris could parallelize highlights areas for improvement.  ... 
doi:10.1109/mc.2021.3055925 fatcat:tymhfovienbrnd7hxvwymodymi

A Survey on Efficient Clustering Methods with Effective Pruning Techniques for Probabilistic Graphs

M. Balaganesh, G.Bharathikannan G.Bharathikannan
2015 International Journal of Computer Applications  
However, very little analysis has been performed to develop efficient agglomeration algorithms for probabilistic graphs.  ...  This survey introduced to design algorithm for searching and to evaluate the algorithm throw analysis.  ...  Distance-constraint reachability plays a main and even critical role in a wide range of applications.  ... 
doi:10.5120/19979-0721 fatcat:htcebdqalba7xliy475o3hvuyi

Holistic Operations in Large-Scale Sensor Network Systems: A Probabilistic Peer-to-Peer Approach [chapter]

Indranil Gupta, Kenneth P. Birman
2003 Lecture Notes in Computer Science  
An autonomous system consisting of a large number of sensor nodes deployed over an area and integrated to collaborate through a network (wireless or wired) network, would encourage several novel as well  ...  as existing applications.  ...  An autonomous system-wide application (e.g., one that takes corrective action when the average humidity in the area crosses a threshold) would require streaming updates of global aggregates of sensor node  ... 
doi:10.1007/3-540-37795-6_32 fatcat:i5l6bqbmezbcnjqu63x7whbyn4

Probabilistic ontology for net-centric fusion

Kathryn Blackmond Laskey, Paulo C.G. da Costa, Edward J. Wright, Kenneth J. Laskey
2007 2007 10th International Conference on Information Fusion  
Among these is the need for semantic interoperability among systems with different internal data models and vocabularies.  ...  Ontologies are seen as a key enabling technology for semantic interoperability.  ...  If soil data for part of the area is available in USCS classes, then no semantic mapping is required to get to EDCS.  ... 
doi:10.1109/icif.2007.4408012 dblp:conf/fusion/LaskeyCWL07 fatcat:c4jndpdgcbd2llpfzumfqhlxce

Fine Resolution Probabilistic Land Cover Classification of Landscapes in the Southeastern United States

Joseph St. Peter, John Hogland, Nathaniel Anderson, Jason Drake, Paul Medley
2018 ISPRS International Journal of Geo-Information  
The classification surfaces consist of probability estimates of 13 visually distinct classes for each 1 m cell across the study area.  ...  Land cover classification provides valuable information for prioritizing management and conservation operations across large landscapes.  ...  Materials and Methods Study Area Our study area consisted of four significant geographic areas (SGAs) in the southeastern United States delineated in the Range-Wide Conservation Plan for Longleaf Pine  ... 
doi:10.3390/ijgi7030107 fatcat:3poslzu3bzh7tlgffqjuw6c2ha

Probabilistic graphic models applied to identification of diseases

Renato Cesar Sato, Graziela Tiemy Kajita Sato
2015 Einstein (São Paulo)  
In this text, we present basic use of probabilistic graphic models as tools to analyze causality in health conditions.  ...  The PGM are widely used in activities involving artificial intelligence, having progressed and gained momentum in this particular area over the last decades.  ...  Personalized medicine involves the prediction of disease progression based on interpretation of patient data in the light of a disease model (2) and is one potential area of application of these networks  ... 
doi:10.1590/s1679-45082015rb3121 pmid:26154555 pmcid:PMC4943832 fatcat:wcuolty36nd6njrfo5buusbifm

A consistent approach for probabilistic residential flood loss modeling in Europe

Stefan Lüdtke, Kai Schröter, Max Steinhausen, Laura Weise, Rui Figueiredo, Heidi Kreibich
2019 Water Resources Research  
To reduce these shortcomings, we present a novel, consistent approach for probabilistic flood loss modeling for Europe, based on the upscaling of the Bayesian Network Flood Loss Estimation MOdel for the  ...  In two of the three case studies, the performance of the model improved, when updated with empirical damage data from the area of interest.  ...  We are very grateful to alp-S, Innsbruck, Austria (http://www. alp-s.at), particularly Matthias Huttenlau and Holger Cammerer, for providing the data for the Lech case study.  ... 
doi:10.1029/2019wr026213 fatcat:gfpn4z7zajawjm5zafmg2l5lqm

A probabilistic approach to the concept of Probable Maximum Precipitation

S. M. Papalexiou, D. Koutsoyiannis
2006 Advances in Geosciences  
Therefore, it is argued that a probabilistic approach is more consistent to the natural behaviour and provides better grounds for estimating extreme precipitation values for design purposes.  ...  The concept of Probable Maximum Precipitation (PMP) is based on the assumptions that (a) there exists an upper physical limit of the precipitation depth over a given area at a particular geographical location  ...  A probabilistic approach, based on the GEV model, seems to be a more consistent tool for studying hydrological extremes. Edited by: V. Kotroni and K. Lagouvardos Reviewed by: A.  ... 
doi:10.5194/adgeo-7-51-2006 fatcat:4n4f3lpasbhuvfkappruloovru

Probabilistic Semantics

Salvatore F. Pileggi
2016 Procedia Computer Science  
research areas.  ...  This paper proposes a concise overview of Probabilistic Semantics according to a technologyoriented perspective.  ...  The Resource Description Framework (RDF) is a paradigm for knowledge representation that has rapidly emerged as a data model for representing information about World Wide Web resources.  ... 
doi:10.1016/j.procs.2016.05.472 fatcat:eagm6fi2vjcufnhcivmrlkur3e

aiDM'22: Fifth International Workshop on Exploiting Artificial Intelligence Techniques for Data Management

Rajesh Bordawekar, Yael Amsterdamer, Donatella Firmani, Ryan Marcus, Oded Shmueli
2022 Proceedings of the 2022 International Conference on Management of Data  
From a data management perspective, this calls for the harnessing of state-ofthe-art AI solutions for data management tasks and systems. aiDM is a full-day workshop that offers a stage for innovative interdisciplinary  ...  research that studies the interaction between AI and data management and develops new AI technologies for data-related tasks.  ...  In spite of the wide ranging applications of AI techniques, its interactions with the data management systems remains in infancy.  ... 
doi:10.1145/3514221.3524076 fatcat:ybzmiabhxfghthw477u6e2rwsq

Construction of an obstacle map and its realtime implementation on an Unmanned Ground Vehicle

Pranav Desai, Hakki Erhan Sevil, Atilla Dogan, Brian Huff
2011 2011 IEEE Conference on Technologies for Practical Robot Applications  
The UGV control system consists of multiple microcontrollers integrated by a Controller Area Network (CAN).  ...  Different types of obstacles and restricted areas are characterized using the same probabilistic framework.  ... 
doi:10.1109/tepra.2011.5753496 fatcat:c3wubg5a2baqleqjhclmp6crgy

4.-8. März 2019

Tanya Braun
2019 Datenbanksysteme für Business, Technologie und Web  
(ii) Provide a forum to members of both communities for exchanging ideas.  ...  ., for implementing efficient systems combining databases and StaRAI. Thus, the goal of this tutorial is two-fold: (i) Present an overview of methods within StaRAI.  ...  While the range of application areas is wide, the areas have all in common that QA requires proper probabilistic reasoning which brings along scalability issues, especially under grounding semantics [  ... 
doi:10.18420/btw2019-ws-27 dblp:conf/btw/Braun19 fatcat:hvvkjdsmofge7joehighbbr2bm

Probabilistic Modeling of Histogram Based Fuzzy Image Enhancement Algorithm

Ghazala Junejo, Sania Bhatti, Mohsin Memon
2022 Review of Information Engineering and Applications  
Probabilistic model checking is frequently used to examine stochastic behavior.  ...  Model-checking is important for examining before extensive simulations, in differing fields, including computer communications, networks, security, and biology.  ...  Methods are described for analyzing a wide range of their properties.  ... 
doi:10.18488/79.v9i1.2908 fatcat:w2ugljrro5gfhh5e5cs3gmkvzy
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