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Spatiotemporal Access Control Enforcement under Uncertain Location Estimates [chapter]

Heechang Shin, Vijayalakshmi Atluri
2009 Lecture Notes in Computer Science  
evaluation cannot always guarantee the intended access control policy requirements.  ...  In this paper, we introduce an authorization model that takes the uncertainty of location measures into consideration for specifying and evaluating access control policies.  ...  Location-Based Access Control Model under Uncertain Location Estimates In this section, we introduce a location-based access control model suitable for moving object data with inherent uncertainty by extending  ... 
doi:10.1007/978-3-642-03007-9_11 fatcat:gwioh56qvfhfvkuafhj55o5aq4

Introduction

Jaideep Vaidya, Ehud Gudes, Jaideep Vaidya, Ehud Gudes
2011 Journal of Computer Security  
of spatiotemporal access control when the precise locations cannot be stated.  ...  It provides a formal specification of the goal of inference-proofness in terms of indistinguishability, and extends the inference control method of controlled query evaluation with lying (which only applies  ...  The fourth paper, "Efficiently enforcing spatiotemporal access control under uncertain location information" by Heechang Shin, Vijayalakshmi Atluri and June-suh Cho, considers the problem of access control  ... 
doi:10.3233/jcs-2011-0427 fatcat:wfotqaoqc5djfa5fjoqh3oa5we

Predicting cannabis cultivation on national forests using a rational choice framework

Frank H. Koch, Jeffrey P. Prestemon, Geoffrey H. Donovan, Everett A. Hinkley, John M. Chase
2016 Ecological Economics  
The models were built on a rational choice theoretical structure, and utilized data describing 2322 cannabis grow locations (2004)(2005)(2006)(2007)(2008)(2009)(2010)(2011)(2012) and 9324 absence locations  ...  Predictor variables included cannabis market prices, law enforcement density, and socioeconomic, demographic, and environmental variables.  ...  We also thank Forest Service Law Enforcement and Investigations (LEI) for providing us with the data that served as the foundation for this work.  ... 
doi:10.1016/j.ecolecon.2016.06.013 fatcat:ayhscrcr7zfs7c75l7bslqhs44

Significant wintertime PM2.5 mitigation in the Yangtze River Delta, China, from 2016 to 2019: observational constraints on anthropogenic emission controls

Liqiang Wang, Shaocai Yu, Pengfei Li, Xue Chen, Zhen Li, Yibo Zhang, Mengying Li, Khalid Mehmood, Weiping Liu, Tianfeng Chai, Yannian Zhu, Daniel Rosenfeld (+1 others)
2020 Atmospheric Chemistry and Physics  
On this basis, we isolate meteorological factors to achieve reliable estimates of surface PM2.5 responses to both long-term and emergency emission control measures from 2016 to 2019 over the Yangtze River  ...  The G20 summit hosted in Hangzhou in 2016 provides a unique and ideal opportunity involving the most stringent, even unsustainable, emergency emission control measures.  ...  This discrepancy might be related to the fact that such results were generally based on sole model-dependent predictions, which are normally driven by uncertain bottom-up estimates of anthropogenic emissions  ... 
doi:10.5194/acp-20-14787-2020 fatcat:gar4vdm5t5btdknaw6m6c3ebva

Forthcoming Papers

1995 Artificial Intelligence  
The method accurately approximates the appearance of scenes under weak-perspective projection.  ...  The epipolar geometry can then be accurately estimated using a meaningful image criterion. More matches are eventually found, as in stereo matching, by using the recovered epipolar geometry.  ...  Nagel, Estimation of optical flow based on higher order spatiotemporal derivatives in interlaced and non-interlaced image sequences This contribution investigates local differential techniques for estimating  ... 
doi:10.1016/0004-3702(95)90021-7 fatcat:dlj6ovgfqjerjmq76jkssdcy3e

The Indiana Center for Database Systems at Purdue University

Mourad Ouzzani, Sunil Prabhakar, Jeffrey S. Vitter, Xiang Zhang, Walid G. Aref, Elisa Bertino, Ann Christine Catlin, Christopher W. Clifton, Wing-Kai Hon, Ahmed K. Elmagarmid, Arif Ghafoor, Susanne E. Hambrusch
2005 SIGMOD record  
We are currently investigating innovative access control techniques for relational database systems, to be able to enforce accesses to data at a very fine granularity level.  ...  We are investigating issues related to spatiotemporal queries and location-aware services.  ... 
doi:10.1145/1083784.1083795 fatcat:lblzmkuu6vggznk4r44hm5z2oa

Spatiotemporal Data Mining: A Survey on Challenges and Open Problems [article]

Ali Hamdi, Khaled Shaban, Abdelkarim Erradi, Amr Mohamed, Shakila Khan Rumi, Flora Salim
2021 arXiv   pre-print
Spatiotemporal data mining (STDM) discovers useful patterns from the dynamic interplay between space and time.  ...  Specifically, we investigate the challenging issues in regards to spatiotemporal relationships, interdisciplinarity, discretisation, and data characteristics.  ...  Limited Access and Privacy Mining spatiotemporal data is often restricted by limited access due to privacy issues. Spatiotemporal datasets may contain information about public behaviours and norms.  ... 
arXiv:2103.17128v1 fatcat:ci5pt5bytndr5inolznjsaizpi

Maps and metrics of insecticide-treated net access, use, and nets-per-capita in Africa from 2000-2020

Amelia Bertozzi-Villa, Caitlin A. Bever, Hannah Koenker, Daniel J. Weiss, Camilo Vargas-Ruiz, Anita K. Nandi, Harry S. Gibson, Joseph Harris, Katherine E. Battle, Susan F. Rumisha, Suzanne Keddie, Punam Amratia (+12 others)
2021 Nature Communications  
Using data from multiple sources, we generate high-resolution maps of ITN access, use, and nets-per-capita annually from 2000 to 2020 across the 40 highest-burden African countries.  ...  Our findings support several existing hypotheses: that use is high among those with access, that nets are discarded more quickly than official policy presumes, and that effectively distributing nets grows  ...  Under the grant conditions of the Foundation, a Creative Commons Attribution 4.0 Generic License has already been assigned to the Author Accepted Manuscript version that might arise from this submission  ... 
doi:10.1038/s41467-021-23707-7 pmid:34117240 pmcid:PMC8196080 fatcat:z3xqe3jqbrbpll44u26yoc7jxy

Probabilistic motion planning of balloons in strong, uncertain wind fields

Michael T Wolf, Lars Blackmore, Yoshiaki Kuwata, Nanaz Fathpour, Alberto Elfes, Claire Newman
2010 2010 IEEE International Conference on Robotics and Automation  
This paper focuses on how to integrate the uncertainty of the wind field into the wind model and how to reach a goal location through the uncertain wind field, using a Markov decision process (MDP).  ...  The goal of the algorithm is to determine what altitude-and what horizontal actuation, if any is available on the vehicle-to use to reach a goal location in the fastest expected time.  ...  For this analysis, N = 1000 paths are generated from a selected starting location to the goal location under π * , for each of four different horizontal actuation limits (u h max = {0, 0.25, 0.5, 1.0}[  ... 
doi:10.1109/robot.2010.5509135 dblp:conf/icra/WolfBKFEN10 fatcat:pmdophbafvahviidc7jgedulnq

Machine Learning Approaches for Myocardial Motion and Deformation Analysis

Nicolas Duchateau, Andrew P. King, Mathieu De Craene
2020 Frontiers in Cardiovascular Medicine  
Pioneering works directly applied a principal component analysis (PCA) on myocardial displacements at each spatiotemporal location (34) over a healthy population, later extended through the estimation  ...  They can provide characteristic spatiotemporal signatures for disease at each location of the myocardium and each instant of the cardiac cycle.  ... 
doi:10.3389/fcvm.2019.00190 pmid:31998756 pmcid:PMC6962100 fatcat:o565yqcqq5an7nhdvvutyy2yua

Utilization of Mobility Data in The Fight Against COVID-19

Shyam J. Kurian, Atiq ur Rehman Bhatti, Henry H. Ting, Curtis Storlie, Nilay Shah, Mohamad Bydon
2020 Mayo Clinic Proceedings: Innovations, Quality & Outcomes  
Their model was able to estimate the location, intensity, and timing of outbreaks as the coronavirus spread throughout China.  ...  This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).  ... 
doi:10.1016/j.mayocpiqo.2020.10.003 pmid:33134851 pmcid:PMC7590816 fatcat:b6dj4tuyyff33epntylhetgs7u

Probabilistic reanalysis of storm surge extremes in Europe

Francisco M. Calafat, Marta Marcos
2020 Proceedings of the National Academy of Sciences of the United States of America  
Estimates, however, are often uncertain due to the small number of extreme events in the tide gauge record and are only available at gauged locations.  ...  the extreme values and the extreme distribution parameters at any arbitrary ungauged location.  ...  This open access article is distributed under Creative Commons Attribution License 4.0 (CC BY). Fig. 1 . 1 Validation with real tide gauge data.  ... 
doi:10.1073/pnas.1913049117 pmid:31932437 pmcid:PMC6994974 fatcat:447qrod5rzgd3k6ts2242lshjy

Review Article: Toward Future Particulate Matter Situations in Thailand from Supporting Policy, Network and Economy

Jitiporn Wongwatcharapaiboon
2020 Future Cities and Environment  
International and domestic policies are literally found for controlling traffic emission, open burning activities, public health and industrial zoning, when strong satellite networks can be proved by the  ...  Turning to financial loss during the PM 2.5 situation, cost estimations have been accounted in terms of environmental tax, pollution footprint, health mortality, public air cleaning payment, GDP and uncertainty  ...  In case of uncertainty context of PM 2.5 sources, an uncertain Gaussian diffusion model (UGD) should be applied to production-emission system (PES) for mitigating pressure on atmospheric control and managing  ... 
doi:10.5334/fce.79 fatcat:fum7zjmalfakriqyn6kup7yale

Segmentation and Tracking Multiple Objects Under Occlusion From Multiview Video

Qian Zhang, King Ngi Ngan
2011 IEEE Transactions on Image Processing  
Since the inter-object occlusion is mainly located in the background regions, it deserves a larger value of bp to enforce its likelihood to be the background.  ...  OBJECT TRACKING IN THE VIDEO The goal of our algorithm is to track the entire deformable object and update its connected regions in the spatiotemporal video frames under complex nonrigid motion. A.  ... 
doi:10.1109/tip.2011.2159228 pmid:21659028 fatcat:inwgaqnmmzemfkfro7xsumkakm

Scanning the Issue

Petros Ioannou
2018 IEEE transactions on intelligent transportation systems (Print)  
Simulations are performed to confirm the effects of their scheme under the real taxi and power grid data sets of New York City, NY, USA.  ...  Every range estimation algorithm depends on various uncertain inputs and hence, its result is also uncertain.  ...  A beta reputation system along with location and time factors is proposed to access the report's reliability.  ... 
doi:10.1109/tits.2018.2857658 fatcat:76cvnxxqv5gi7db4pvdls6sbla
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