scholarly journals Automatic event-based indexing of multimedia content using a joint content-event model

2010 ◽  
Author(s):  
Nikolaos Gkalelis ◽  
Vasileios Mezaris ◽  
Ioannis Kompatsiaris
Keyword(s):  
Multimedia Content ◽  
Event Model ◽  
Event Based

scholarly journals Improvement of the SWAT model for event-based flood simulation on a sub-daily timescale

2018 ◽  
Vol 22 (9) ◽  
pp. 5001-5019 ◽  
Author(s):  
Dan Yu ◽  
Ping Xie ◽  
Xiaohua Dong ◽  
Xiaonong Hu ◽  
Ji Liu ◽  
...  
Keyword(s):  
Swat Model ◽  
Human Society ◽  
Flood Events ◽  
Flood Simulation ◽  
Calibration And Validation ◽  
Event Model ◽  
Flood Period ◽  
Simulation Results ◽  
Event Based

Abstract. Flooding represents one of the most severe natural disasters threatening the development of human society. A model that is capable of predicting the hydrological responses in watershed with management practices during flood period would be a crucial tool for pre-assessment of flood reduction measures. The Soil and Water Assessment Tool (SWAT) is a semi-distributed hydrological model that is well capable of runoff and water quality modeling under changed scenarios. The original SWAT model is a long-term yield model. However, a daily simulation time step and a continuous time marching limit the application of the SWAT model for detailed, event-based flood simulation. In addition, SWAT uses a basin level parameter that is fixed for the whole catchment to parameterize the unit hydrograph (UH), thereby ignoring the spatial heterogeneity among the sub-basins when adjusting the shape of the UHs. This paper developed a method to perform event-based flood simulation on a sub-daily timescale based on SWAT2005 and simultaneously improved the UH method used in the original SWAT model. First, model programs for surface runoff and water routing were modified to a sub-daily timescale. Subsequently, the entire loop structure was broken into discrete flood events in order to obtain a SWAT-EVENT model in which antecedent soil moisture and antecedent reach storage could be obtained from daily simulations of the original SWAT model. Finally, the original lumped UH parameter was refined into a set of distributed ones to reflect the spatial variability of the studied area. The modified SWAT-EVENT model was used in the Wangjiaba catchment located in the upper reaches of the Huaihe River in China. Daily calibration and validation procedures were first performed for the SWAT model with long-term flow data from 1990 to 2010, after which sub-daily (Δt=2 h) calibration and validation in the SWAT-EVENT model were conducted with 24 flood events originating primarily during the flood seasons within the same time span. Daily simulation results demonstrated that the SWAT model could yield very good performances in reproducing streamflow for both whole year and flood period. Event-based flood simulation results simulated by the sub-daily SWAT-EVENT model indicated reliable performances, with ENS values varying from 0.67 to 0.95. The SWAT-EVENT model, compared to the SWAT model, particularly improved the simulation accuracies of the flood peaks. Furthermore, the SWAT-EVENT model results of the two UH parameterization methods indicated that the use of the distributed parameters resulted in a more reasonable UH characterization and better model fit compared to the lumped UH parameter.

Measuring a Composition Event Representation Model Based on Multi-Tuple for Cyber-Physical Systems

2014 ◽  
Vol 602-605 ◽  
pp. 2242-2248
Author(s):  
Hui Lin Wang
Keyword(s):  
Dynamic Change ◽  
Temporal Characteristic ◽  
Cyber Physical Systems ◽  
Average Error ◽  
Event Representation ◽  
Physical Systems ◽  
Representation Model ◽  
Time Space ◽  
Event Model ◽  
Event Based

Representation model of composition event is a very important issue in the study of composition event. Aiming to solve the problem of no well reflecting the spatial-temporal characteristic of CPS (Cyber-Physical Systems) in current composition even models, a representation model of composition event based on multi-tuple is proposed for CPS in this paper. The contribution of the paper lies that we use five tuples: object, time, space, event and property, to represent a composition event of CPS, which not only can more comprehensively reflect the spatial-temporal characteristic of CPS event, but also can reflect the some dynamic change features of external environment. The simulation results show that our proposed scheme has several advantages in reducing event average error rate compared with some general event model methods.

scholarly journals Routing and schedule simulation of a biomass energy supply chain through SimPy simulation package

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
T.M. Pinho ◽  
J.P. Coelho ◽  
P.M. Oliveira ◽  
B. Oliveira ◽  
A. Marques ◽  
...  
Keyword(s):  
Supply Chain ◽  
Closed Loop ◽  
Discrete Event ◽  
Biomass Energy ◽  
Closed Loop System ◽  
Dynamic Interactions ◽  
Forest Fuels ◽  
Event Model ◽  
Event Based

The optimisation of forest fuels supply chain involves several entities actors, and particularities. To successfully manage these supply chains, efficient tools must be devised with the ability to deal with stakeholders dynamic interactions and to optimize the supply chain performance as a whole while being stable and robust, even in the presence of uncertainties. This work proposes a framework to coordinate different planning levels and event-based models to manage the forest-based supply chain. In particular, with the new methodology, the resilience and flexibility of the biomass supply chain is increased through a closed-loop system based on the system forecasts provided by a discrete-event model. The developed event-based predictive model will be described in detail, explaining its link with the remaining elements. The implemented models and their links within the proposed framework are presented in a case study in Finland and results are shown to illustrate the advantage of the proposed architecture.

Information-Applied Technology in Neural Network Prediction Model of Aviation Unsafe Event Based on PSO Algorithm with Gradient Acceleration

2014 ◽  
Vol 952 ◽  
pp. 303-306 ◽  
Author(s):  
Xu Sheng Gan ◽  
Can Yang ◽  
Jing Shun Duanmu
Keyword(s):  
Neural Network ◽  
Safety Management ◽  
Pso Algorithm ◽  
Good Prediction ◽  
Event Data ◽  
Applied Technology ◽  
Neural Network Prediction ◽  
Event Model ◽  
Network Prediction ◽  
Event Based

To improve the level of aviation safety management and decision-making, an aviation unsafe event model based on neural network trained by an improved Particle Swarm Optimization (PSO) algorithm is proposed. First a gradient acceleration idea is introduced in standard PSO algorithm to improve the search efficiency, and then the improved PSO algorithm is used to optimize the parameters of neural network, finishing the training of model. An actual example on unsafe event data of an airline shows that the proposed method can achieve a good prediction effect.

scholarly journals Improvement of the SWAT model for event-based flood forecasting on a sub-daily time scale

2017 ◽  
Author(s):  
Dan Yu ◽  
Ping Xie ◽  
Xiaohua Dong ◽  
Xiaonong Hu ◽  
Ji Liu ◽  
...  
Keyword(s):  
Time Scale ◽  
Swat Model ◽  
Flood Forecasting ◽  
Flood Events ◽  
Calibration And Validation ◽  
Event Model ◽  
Simulation Results ◽  
Event Based ◽  
Daily Time

Abstract. Flooding represents one of the most severe natural disasters threatening the development of human society. Flood forecasting systems imbedded with hydrological models are some of the most important non-engineering measures for flood defense. The Soil and Water Assessment Tool (SWAT) is a well-designed hydrological model that is widely applied for runoff and water quality modeling. The original SWAT model is a long-term yield model. However, a daily simulation time step and continuous time marching limit the use of the SWAT model for detailed, event-based flood forecasting. In addition, SWAT uses a uniform parameter set to parameterize the Unit Hydrograph (UH) for all sub-basins, thereby ignoring the heterogeneity among the sub-basins. This paper developed a method to perform event-based flood forecasting on a sub-daily time scale based on SWAT2005. First, model programs for surface runoff and water routing were modified for a sub-daily time scale. Subsequently, the entire loop structure was broken into discrete flood events in order to obtain a SWAT-EVENT model in which antecedent soil moisture and antecedent reach storage could be obtained from daily simulations of the original SWAT model. Finally, the original lumped UH parameters were refined into distributed parameters to reflect the spatial variability of the studied area. The modified SWAT-EVENT model was used in the Wangjiaba catchment located in the upper reaches of the Huaihe River in China. Daily calibration and validation procedures were first performed for the SWAT model with long-term flow data from 1990 to 2010, after which sub-daily (Δt = 2 h) calibration and validation in the SWAT-EVENT model were conducted with 24 flood events originating primarily during the flood seasons within the same time span. Daily simulation results demonstrated acceptable model performances with Nash-Sutcliffe efficiency coefficient (ENS) values of 0.77 and 0.78 for the calibration and the validation, respectively. Event-based flood simulation results indicated reliable performances, with ENS values varying from 0.66 to 0.95. The SWAT-EVENT model, compared to the SWAT model, also improved the simulation accuracies of the flood peaks. The application of distributed UH parameters within the SWAT-EVENT model can more effectively depict the spatial variability within the study area, resulting in higher qualification ratios of the relative peak discharge error (ERP), relative peak time error (ERPT) and relative runoff volume error (ERR) relative to the application of lumped parameters.

Event Models in Distributed Event Based Systems

2010 ◽  
pp. 19-42 ◽  
Author(s):  
Rolando Blanco ◽  
Paulo Alencar
Keyword(s):  
Event Model ◽  
Event Models ◽  
Event Based

The event model of a system determines how events are defined and generated, and how events are notified to interested components. In this chapter we look at key differences between the event model in distributed event based systems (DEBSs) and event models found in other implicit invocation systems. We identify features common to all DEBS event models, and variations within different DEBSs implementations. The main goal of the chapter is to elicit important features in event models that need to be supported in the engineering of DEBS applications.

Longitudinal Collision Risk for ATC Track Systems: A Hazardous Event Model

2005 ◽  
Vol 59 (1) ◽  
pp. 55-70 ◽  
Author(s):  
Peter Brooker
Keyword(s):  
Traffic Control ◽  
Risk Model ◽  
Hazard Analysis ◽  
Cost Savings ◽  
Collision Risk ◽  
The North ◽  
Track System ◽  
Event Model ◽  
Lateral Offset ◽  
Event Based

This paper presents a collision risk model and operational concepts for longitudinal separated aircraft in the North Atlantic Region air traffic control track system, and indicates how it might be used to reduce separation minima safely, and hence deliver cost savings. It is an event-based model: it is easy to see what is being assumed, to understand the role of the main parameters, and to incorporate collision detection and hazard analysis. A potential future operation, with a 7-minute separation and a strategic lateral offset system, is sketched using the model.

scholarly journals AN EVENT MODEL OF THE OPERATION PROCESS OF UNMANNED AIRCRAFT VEHICLES USED IN THE POLISH ARMED FORCES

2020 ◽  
Author(s):  
Anna Michalska
Keyword(s):  
Participant Observation ◽  
Armed Forces ◽  
Unmanned Aircraft ◽  
Technical Documentation ◽  
Operation Process ◽  
Event Model ◽  
Technological Object ◽  
The Republic ◽  
Process Event ◽  
Event Based

The article addresses the issue of unmanned aircraft vehicles used in the armed forces of the Republic of Poland as a technological object undergoing the exploitation process in accordance with an event-based exploitation model. The author discusses problems related to the semantics of drones, which, in conjunction with the study of technical documentation and participant observation, allowed to qualify the operating state and determine the exploitation process event model for these devices together with the permitted transitions matrix. The presented results are the basis for further research on the reliability of these systems.

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