scholarly journals A Joint Two-Phase Time-Sensitive Regularized Collaborative Ranking Model for Point of Interest Recommendation

2020 ◽  
Vol 32 (6) ◽  
pp. 1050-1063 ◽  
Author(s):  
Mohammad Aliannejadi ◽  
Dimitrios Rafailidis ◽  
Fabio Crestani
Keyword(s):  
Two Phase ◽  
Phase Time ◽  
Point Of Interest ◽  
Ranking Model ◽  
Collaborative Ranking

Development of Two-Dimensional Bubble Movement and Development Benchmark Dataset for Numerical Validation

2012 ◽  
Author(s):  
Gholamreza Keshavarzi ◽  
Tracie J. Barber ◽  
Guan Yeoh
Keyword(s):  
High Speed ◽  
Numerical Models ◽  
Experimental Studies ◽  
Fluid Flows ◽  
Full Time ◽  
Two Phase ◽  
Point Of Interest ◽  
Time Shape ◽  
Computational Resources ◽  
Bubble Movement

The motion and transport of bubbles in fluid flows have many engineering applications. The rise of a bubble has been a point of interest for both numerical and experimental studies. Various tracking methodologies have been developed, including markers, level sets and volume tracking. In order to validate numerical models of bubble flow, detailed experimental data describing the transient bubble shape is needed. This is best found from a 2D comparison rather than 3D experiment because computational resources for determining an accurate shape can be maximized. No real full time shape and subsequent deformation of this 2D bubble has yet been demonstrated. In this paper 2D bubble experiments have been conducted, in which a single bubble has been injected inside a close-walled tank and the rising of the bubble has been captured through a high speed camera. This data is now being used as a benchmark for numerical interface capturing and two phase flow methodology validations.

scholarly journals Two-Phase Time Synchronization-Free Localization Algorithm for Underwater Sensor Networks

2017 ◽  
Author(s):  
Junhai Luo ◽  
Liying Fan
Keyword(s):  
Sensor Networks ◽  
Time Synchronization ◽  
Sensor Nodes ◽  
Second Phase ◽  
Underwater Sensor Networks ◽  
Localization Algorithm ◽  
Two Phase ◽  
Phase Time ◽  
Anchor Nodes ◽  
Range Free

Underwater Sensor Networks (UWSNs) can enable a broad range of applications such as resource monitoring, disaster prevention, and navigation-assisted. It is especially relevant for sensor nodes location in UWSNs. Global Positioning System (GPS) is not suitable for using in UWSNs because of the underwater propagation problems. Hence some localization algorithms based on the precise time synchronization between sensor nodes have been proposed which are not feasible for UWSNs. In this paper, we propose a localization algorithm called Two-Phase Time Synchronization-Free Localization Algorithm (TP-TSFLA). TP-TSFLA contains two phases, namely, range-based estimation phase and range-free evaluation phase. In the first phase, we address a time synchronization-free localization scheme base on the Particle Swarm Optimization (PSO) algorithm to decrease the localization error. In the second phase, we propose a Circle-based Range-Free Localization Algorithm (CRFLA) to locate the unlocalized sensor nodes which cannot obtain the location information through the first phase. In the second phase, sensor nodes which are localized in the first phase act as the new anchor nodes to help realize localization. Hence in this algorithm, we use a small number of mobile beacons to help achieve location without any other anchor nodes. Besides, to improve the precision of the range-free method, an extension of CRFLA by designing a coordinate adjustment scheme is updated. The simulation results show that TP-TSFLA can achieve a relative high localization ratio without time synchronization.

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