scholarly journals Intelligent Boarding Modelling and Evaluation: A Simulation-Based Approach

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Lijuan Luo ◽  
Shaozhi Hong ◽  
Shanshan Shang ◽  
Xiaoli Zhou ◽  
Junyu Yang ◽  
...  
Keyword(s):  
Turnaround Time ◽  
Mode Decision ◽  
Management Mode ◽  
Financial Pressure ◽  
Operation Process ◽  
Passenger Travel ◽  
Simulation Based ◽  
Better Than

The boarding efficiency is essential for all airlines due to potential competitive financial pressure. Therefore, the turnaround time needs to be cut down for a shorter boarding time. The paper devised a feasible boarding strategy which combines the management mode decision of passenger boarding with the intelligent deployment of the operation process and will be likely to improve the efficiency of the passenger travel chain. Among which, to decrease the boarding time is an effective method. Firstly, we proposed an improved outside-in strategy, which costs shorter boarding time based on the existing outside-in strategy. However, this method requires passengers to stand in queue in advance. Secondly, we put forward a deterministic queue-ordered boarding method to improve it. Finally, we simulated and applied the strategy to a narrow-body aircraft A320 and a wide-body A380, both representative for their type of airplanes. It turns out that this strategy performs better than the current widely used method and will be able to increase boarding efficiency and thus maximize the profits of airlines.

scholarly journals Cloth simulation-based construction of pit-free canopy height models from airborne LiDAR data

2020 ◽  
Vol 7 (1) ◽  
Author(s):  
Wuming Zhang ◽  
Shangshu Cai ◽  
Xinlian Liang ◽  
Jie Shao ◽  
Ronghai Hu ◽  
...  
Keyword(s):  
Tree Height ◽  
Point Clouds ◽  
Airborne Lidar ◽  
Canopy Height ◽  
Lidar Data ◽  
Cloth Simulation ◽  
Simulation Based ◽  
Maximum Tree Height ◽  
Airborne Lidar Data ◽  
Better Than

Abstract Background The universal occurrence of randomly distributed dark holes (i.e., data pits appearing within the tree crown) in LiDAR-derived canopy height models (CHMs) negatively affects the accuracy of extracted forest inventory parameters. Methods We develop an algorithm based on cloth simulation for constructing a pit-free CHM. Results The proposed algorithm effectively fills data pits of various sizes whilst preserving canopy details. Our pit-free CHMs derived from point clouds at different proportions of data pits are remarkably better than those constructed using other algorithms, as evidenced by the lowest average root mean square error (0.4981 m) between the reference CHMs and the constructed pit-free CHMs. Moreover, our pit-free CHMs show the best performance overall in terms of maximum tree height estimation (average bias = 0.9674 m). Conclusion The proposed algorithm can be adopted when working with different quality LiDAR data and shows high potential in forestry applications.

scholarly journals Multi-basin and regional calibration based identification of distributed precipitation–runoff models for hourly runoff simulation: calibration and transfer of full and partial parameters

2015 ◽  
Vol 47 (2) ◽  
pp. 239-259 ◽  
Author(s):  
Teklu T. Hailegeorgis ◽  
Knut Alfredsen
Keyword(s):  
Performance Measures ◽  
Parameter Uncertainty ◽  
Weighted Average ◽  
Runoff Simulation ◽  
Temporal Validation ◽  
Simulation Based ◽  
And Performance ◽  
Hbv Model ◽  
Calibration Parameters ◽  
Better Than

Identification of distributed precipitation–runoff models for hourly runoff simulation based on transfer of full parameters (FP) and partial parameters (PP) are lacking for boreal mid-Norway. We evaluated storage–discharge relationships based model (Kirchmod), the Basic-Grid-Model (BGM) and a simplified Hydrologiska Byråns Vattenbalansavdelning (HBV) model for multi-basins (26 catchments). A regional calibration objective function, which uses all streamflow records in the region, was used to optimize local calibration parameters for each catchment and regional parameters yielding maximum regional weighted average (MRWA) performance measures (PM). Based on regional median Nash–Sutcliffe efficiency (NSE) and NSEln (for log-transformed series) for the calibration and validation periods, the Kirchmod model performed better than the others. Parsimony of the Kirchmod model provided less parameter uncertainty for the FP case but did not guarantee parameter identifiability. Tradeoffs between parsimony and performance were observed despite advantages of parsimony to reduce parameter correlations for the PP, which requires preliminary sensitivity analysis to identify which parameters to transfer. There are potential advantages of using the MRWA method for parameter transfer in space. However, temporal validation indicated marked deterioration of the PM. The tradeoffs between parameter transfers in space and time substantiate both spatial and temporal validation of the regional calibration methodology.

scholarly journals Art Effect of Photographic Darkroom Stunt Simulation Based on Mobile Computing to Synthesize Images across Image Moving Selected Regions

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Wen Liu ◽  
Feng Qiu ◽  
Xi Zeng
Keyword(s):  
Image Synthesis ◽  
Human Vision ◽  
Synthesis Methods ◽  
Analysis Method ◽  
Special Effects ◽  
Composite Image ◽  
Simulation Based ◽  
Time And Energy ◽  
Better Than

Prior to the advent of digital image processing technology, image composition primarily used human vision to identify colors and artificially convert them. However, manually synthesizing and transforming graphics images will not only consume a lot of manpower, time, and energy but also due to manual limitations in the process of synthesizing and coloring the pictures, the resulting pictures cannot meet people’s needs. In order to improve the speed and quality of image synthesis, and to synthesize the pictures people need more quickly and accurately, this article synthesizes the image based on the movement calculation across the selected area of the image and analyzes the photographic darkroom special effects of the synthesized image to simulate the artistic effect. Using case analysis method, literature analysis method, and other methods, the database was collected and a model of photographic darkroom stunt simulation artistic effect recognition was built. The results of the study found that the composite image based on the movement calculation across the selected area of the image is better than the composite image of other algorithms, and the quality of hue and saturation is more than 30% higher than other synthesis methods. It should be verified by experiments. The results are significantly different. This shows that the composite image based on moving calculation across the selected area of the image can achieve good results in the photographic darkroom stunt simulation artistic effect.

scholarly journals A Simulation-Based Study for Progressive Estimation of Population Mean through Traditional and Nontraditional Measures in Stratified Random Sampling

2021 ◽  
Vol 2021 ◽  
pp. 1-16
Author(s):  
Maria Javed ◽  
Muhammad Irfan ◽  
Sajjad Haider Bhatti ◽  
Ronald Onyango
Keyword(s):  
Mean Square Error ◽  
Random Sampling ◽  
Minimum Mean Square Error ◽  
Auxiliary Information ◽  
Stratified Random Sampling ◽  
Mean Square ◽  
Population Mean ◽  
New Family ◽  
Simulation Based ◽  
Better Than

This study suggests a new optimal family of exponential-type estimators for estimating population mean in stratified random sampling. These estimators are based on the traditional and nontraditional measures of auxiliary information. Expressions for the bias, mean square error, and minimum mean square error of the proposed estimators are derived up to first order of approximation. It is observed that proposed estimators perform better than the traditional estimators (unbiased, combined ratio, and combined regression) and other recent estimators. A real dataset is used to highlight the applicability of proposed estimators. In addition, a simulation study is carried out to assess the performance of new family as compared to other estimators.

scholarly journals A Parallel Particle Swarm Optimisation for Selecting Optimal Virtual Machine on Cloud Environment

2020 ◽  
Vol 10 (18) ◽  
pp. 6538
Author(s):  
Ahmed Abdelaziz ◽  
Maria Anastasiadou ◽  
Mauro Castelli
Keyword(s):  
Cloud Computing ◽  
Execution Time ◽  
Virtual Machines ◽  
Particle Swarm ◽  
Healthcare Services ◽  
Turnaround Time ◽  
Particle Swarm Optimisation ◽  
Medical Applications ◽  
Implementation Time ◽  
Better Than

Cloud computing has a significant role in healthcare services, especially in medical applications. In cloud computing, the best choice of virtual machines (Virtual_Ms) has an essential role in the quality improvement of cloud computing by minimising the execution time of medical queries from stakeholders and maximising utilisation of medicinal resources. Besides, the best choice of Virtual_Ms assists the stakeholders to reduce the total execution time of medical requests through turnaround time and maximise CPU utilisation and waiting time. For that, this paper introduces an optimisation model for medical applications using two distinct intelligent algorithms: genetic algorithm (GA) and parallel particle swarm optimisation (PPSO). In addition, a set of experiments was conducted to provide a competitive study between those two algorithms regarding the execution time, the data processing speed, and the system efficiency. The PPSO algorithm was implemented using the MATLAB tool. The results showed that the PPSO algorithm gives accurate outcomes better than the GA in terms of the execution time of medical queries and efficiency by 3.02% and 37.7%, respectively. Also, the PPSO algorithm has been implemented on the CloudSim package. The results displayed that the PPSO algorithm gives accurate outcomes better than default CloudSim in terms of final implementation time of medicinal queries by 33.3%. Finally, the proposed model outperformed the state-of-the-art methods in the literature review by a range from 13% to 67%.

Simulation-based medical education is no better than problem-based discussions and induces misjudgment in self-assessment

2008 ◽  
Vol 14 (2) ◽  
pp. 159-171 ◽  
Author(s):  
Manuel Wenk ◽  
René Waurick ◽  
David Schotes ◽  
Melanie Wenk ◽  
Christina Gerdes ◽  
...  
Keyword(s):  
Medical Education ◽  
Self Assessment ◽  
Simulation Based ◽  
Better Than

scholarly journals Automation of the Road Gate Operations Process at the Container Terminal—A Case Study of DCT Gdańsk SA

2021 ◽  
Vol 13 (11) ◽  
pp. 6291
Author(s):  
Karol Moszyk ◽  
Mariusz Deja ◽  
Michal Dobrzynski
Keyword(s):  
Container Terminal ◽  
Turnaround Time ◽  
License Plate ◽  
License Plate Recognition ◽  
Gate Operation ◽  
The Road ◽  
Operation Process ◽  
Self Service ◽  
Container Movement ◽  
Major Factors

The future increased terminal capacity will result in more container movement through the road complex and rail siding, which are one of the most critical areas (potential bottlenecks) in the container terminal. Truck turnaround time is one of the major factors that customers take into account while deciding how many container volumes they will handle through the container terminal. To enable to optimize increased traffic with future container terminal development, as well as increase gates throughput, and as a consequence, encourage more volume and increase customer satisfaction, Deepwater Container Terminal Gdańsk SA plans to reorganize and automatize the gate operation process. Gate automation includes supply, installation, commissioning, implementation, and maintenance of software and hardware that would allow automatizing the handling of trucks at container terminal gates by using OCR (optical camera recognition) technology, LPR (license plate recognition) systems and self-service kiosk for truck drivers.

scholarly journals Toward realistic binaural auralizations – perceptual comparison between measurement and simulation-based auralizations and the real room for a classroom scenario

Acta Acustica ◽  
2021 ◽  
Vol 5 ◽  
pp. 8
Author(s):  
Matthias Blau ◽  
Armin Budnik ◽  
Mina Fallahi ◽  
Henning Steffens ◽  
Stephan D. Ewert ◽  
...  
Keyword(s):  
Impulse Responses ◽  
Point Scale ◽  
Present Contribution ◽  
The Real ◽  
Simulation Based ◽  
Perceptual Comparison ◽  
Better Than

In order to make full use of their potential to replace experiments in real rooms, auralizations must be as realistic as possible. Recently, it has been shown that for speech, head-tracked binaural auralizations based on measured binaural room impulse responses (BRIRs) can be so realistic, that they become indistinguishable (or nearly so) from the real room [1, 2]. In the present contribution, perceptual comparisons between the auralized and the real room are reported for auralizations based both on measured and simulated BRIRs. In the experiment, subjects sitting in the real room rated the agreement between the real and the auralized room with respect to a number of attributes. The results indicate that for most attributes, the agreement between the auralized and the real room can be very convincing (better than 7.5 on a nine-point scale). This was not only observed for auralizations based on measured BRIRs, but also for those based on simulated BRIRs. In the scenario considered here, the use of individual head-related impulse responses (HRIRs) does not seem to offer any benefit over using HRIRs from a head-and-torso-simulator.

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