Results 31 to 40 of about 4,853 (185)
A Novel Index Method for K Nearest Object Query over Time-Dependent Road Networks
Complexity, 2019 K nearest neighbor (kNN) search is an important problem in location-based services (LBS) and has been well studied on static road networks. However, in real world, road networks are often time-dependent; i.e., the time for traveling through a road ...
Yajun Yang +5 more
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Hierarchical Quadrant Spatial LSM Tree for Indexing Blockchain-Based Geospatial Point Data
IEEE Access, 2023 Blockchain technology is attracting attention for its high usability in various fields such as IoT and healthcare, and it is being used as an alternative to distributed databases.
Junghyun Lee +3 more
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Robust K nearest neighbor query processing algorithm in wireless sensor networks
Tongxin xuebao, 2010 A robust K nearest neighbor query processing algorithm called ROC-KNN was proposed.It divides the query region into several sub-regions according the network topology.Each sub-region has a cluster node which collects the sensory data in it,sends it to ...
LIU Liang +3 more
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K-NEAREST NEIGHBOUR QUERY PERFORMANCE ANALYSES ON A LARGE SCALE TAXI DATASET: POSTGRESQL VS. MONGODB [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019 The increasing volume of transport network data necessitates the use of a DataBase Management System (DBMS) to store, query and analyse data. There are two main types of DBMS: relational and non-relational. Many different DBMS are available on the market
İ. B. Coşkun, S. Sertok, B. Anbaroğlu
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Secure kNN Query Processing in Untrusted Cloud Environments: an Overview [PDF]
, 2020 : Nowadays, data are stored to a third party in cloud environments and query processing is also done by the third party to reduce the expense to maintain the system.
K S Kore +3 more
core
Secure kNN Computation and Integrity Assurance of Data Outsourcing in the Cloud [PDF]
, 2017 As cloud computing has been popularized massively and rapidly, individuals and enterprises prefer outsourcing their databases to the cloud service provider (CSP) to save the expenditure for managing and maintaining the data.
Jun Hong +3 more
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Sensors, 2018 With the rapid development of mobile devices and sensors, effective searching methods for big spatial data have recently received a significant amount of attention.
Bumjoon Jo, Sungwon Jung
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Fast kNN query processing over a multi-node GPU environment
, 2022 The kNN (k nearest-neighbors) search is currently applied in a wide range of applications, such as data mining, multimedia, information retrieval, machine learning, pattern recognition, among others.
Hernández-García, Ruber +4 more
core
Privacy Preserving Moving KNN Queries
CoRR, 2011 We present a novel approach that protects trajectory privacy of users who access location-based services through a moving k nearest neighbor (MkNN) query. An MkNN query continuously returns the k nearest data objects for a moving user (query point). Simply updating a user's imprecise location such as a region instead of the exact position to a location-
Tanzima Hashem +2 more
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A Temporally Hierarchical Deployment Architecture for an Enhanced Name Resolution System
Applied Sciences, 2019 The challenging requirements of the fifth generation (5G) cellular networks motivate the need to explore the feasibility of delivering services over new network architectures.
Yi Liao, Yiqiang Sheng, Jinlin Wang
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