Comparing GPS positioning errors derived from GAMIT/GLOBK and Bernese GNSS software packages: A case study in CORS-TR in Turkey

Survey Review ◽  
2018 ◽  
Vol 51 (369) ◽  
pp. 533-543 ◽  
Author(s):  
Seda Cetin ◽  
Cuneyt Aydin ◽  
Ugur Dogan
Keyword(s):  
Gps Positioning ◽  
Positioning Errors ◽  
Software Packages

scholarly journals Simulating lightning into the RAMS model: implementation and preliminary results

2014 ◽  
Vol 14 (11) ◽  
pp. 2933-2950 ◽  
Author(s):  
S. Federico ◽  
E. Avolio ◽  
M. Petracca ◽  
G. Panegrossi ◽  
P. Sanò ◽  
...  
Keyword(s):  
Case Studies ◽  
Spatial Scales ◽  
Central Italy ◽  
Atmospheric Modeling ◽  
Lightning Activity ◽  
Spatial Error ◽  
Lazio Region ◽  
Positioning Errors ◽  
First Case

Abstract. This paper shows the results of a tailored version of a previously published methodology, designed to simulate lightning activity, implemented into the Regional Atmospheric Modeling System (RAMS). The method gives the flash density at the resolution of the RAMS grid scale allowing for a detailed analysis of the evolution of simulated lightning activity. The system is applied in detail to two case studies occurred over the Lazio Region, in Central Italy. Simulations are compared with the lightning activity detected by the LINET network. The cases refer to two thunderstorms of different intensity which occurred, respectively, on 20 October 2011 and on 15 October 2012. The number of flashes simulated (observed) over Lazio is 19435 (16231) for the first case and 7012 (4820) for the second case, and the model correctly reproduces the larger number of flashes that characterized the 20 October 2011 event compared to the 15 October 2012 event. There are, however, errors in timing and positioning of the convection, whose magnitude depends on the case study, which mirrors in timing and positioning errors of the lightning distribution. For the 20 October 2011 case study, spatial errors are of the order of a few tens of kilometres and the timing of the event is correctly simulated. For the 15 October 2012 case study, the spatial error in the positioning of the convection is of the order of 100 km and the event has a longer duration in the simulation than in the reality. To assess objectively the performance of the methodology, standard scores are presented for four additional case studies. Scores show the ability of the methodology to simulate the daily lightning activity for different spatial scales and for two different minimum thresholds of flash number density. The performance decreases at finer spatial scales and for higher thresholds. The comparison of simulated and observed lighting activity is an immediate and powerful tool to assess the model ability to reproduce the intensity and the evolution of the convection. This shows the importance of using computationally efficient lightning schemes, such as the one described in this paper, in forecast models.

scholarly journals An Empirical Framework for Intersection Optimization Based on Uniform Design

2017 ◽  
Vol 2017 ◽  
pp. 1-10 ◽  
Author(s):  
Ying Zhang ◽  
Daniel Jian Sun ◽  
Alexandra Kondyli
Keyword(s):  
Performance Optimization ◽  
Uniform Design ◽  
Signalized Intersections ◽  
Simulation Software ◽  
Practical Implementation ◽  
Control Delay ◽  
Software Packages ◽  
The One ◽  
Entire Network

Operational performance optimization of signalized intersections is one of the most important tasks for traffic engineers and researchers. To compensate for the limitations of practical implementation, simulation software packages have been widely used to evaluate different optimization strategies and thus to improve the efficiency of the intersections as well as the entire network. However, for the existing optimization studies on signalized intersections, the relationships among various optimization measures and the combination of strategies have not been fully investigated. In this paper, uniform design experimentation was introduced to combine different optimization measures into strategies and achieve the minimum time cost in model construction. VISSIM software package was then calibrated and used to evaluate various optimization strategies and identify the one with the best measurement of performance, namely, control delay at the signalized intersection. By taking a representative congested intersection in Shanghai as a case study, the optimal strategy was identified to reduce the overall control delay by 27.3%, which further verified the modeling capability of the proposed method.

scholarly journals Airborne Particulate Matter Modeling: A Comparison of Three Methods Using a Topology Performance Approach

2021 ◽  
Vol 12 (1) ◽  
pp. 256
Author(s):  
Julio Alberto Ramírez-Montañez ◽  
Marco Antonio Aceves-Fernández ◽  
Jesús Carlos Pedraza-Ortega ◽  
Efrén Gorrostieta-Hurtado ◽  
Artemio Sotomayor-Olmedo
Keyword(s):  
Particulate Matter ◽  
Short Term Memory ◽  
Chaotic Behavior ◽  
Airborne Particulate Matter ◽  
Simulation Software ◽  
Short Term ◽  
Software Packages ◽  
Memory Network ◽  
Long Short Term Memory

Understanding the behavior of suspended pollutants in the atmosphere has become of paramount importance to determine air quality. For this purpose, a variety of simulation software packages and a large number of algorithms have been used. Among these techniques, recurrent deep neural networks (RNN) have been used lately. These are capable of learning to imitate the chaotic behavior of a set of continuous data over time. In the present work, the results obtained from implementing three different RNNs working with the same structure are compared. These RNNs are long-short term memory network (LSTM), a recurrent gated unit (GRU), and the Elman network, taking as a case study the records of particulate matter PM10 and PM2.5 from 2005 to 2019 of Mexico City, obtained from the Red Automatica de Monitoreo Ambiental (RAMA) database. The results were compared for these three topologies in execution time, root mean square error (RMSE), and correlation coefficient (CC) metrics.

scholarly journals Knowledge Sharing and the Improvement of Service Delivery in an Academic Library

2022 ◽  
Vol 18 (1) ◽  
pp. 0-0
Keyword(s):  
Service Delivery ◽  
Knowledge Sharing ◽  
Ad Hoc ◽  
Practical Knowledge ◽  
Academic Library ◽  
Competitive Edge ◽  
Software Packages ◽  
Use Of Technology ◽  
Improve Service Delivery

Knowledge can play an important role in ascertaining an organization’s competitive edge if the knowledge of employees is nurtured and utilized as an asset with a potential to improve service delivery. The study focused on knowledge sharing at the Thomas Mofolo Library in Lesotho to determine if knowledge sharing was being used to improve service delivery at the Library. A case study design that triangulated interviews and questionnaires was used in this study. Quantitative data was processed using software packages. Data from the interviews was analyzed through content analysis based on the objectives of the study. This study established that staff recognized the need to share knowledge. However, knowledge sharing occurred on an ad hoc basis. There was a limited use of technology-based and human-based mechanisms of sharing knowledge. The study suggests practical knowledge-sharing practices that may contribute to improved service delivery in a library setup. As a case study, study may also contribute to the development of theory about the phenomenon.

GPS Positioning Errors during Periods of Magnetic Storms

2021 ◽  
Vol 500 (2) ◽  
pp. 852-856
Author(s):  
A. A. Spivak ◽  
S. A. Riabova ◽  
Yu. S. Rybnov ◽  
V. A. Kharlamov
Keyword(s):  
Magnetic Storms ◽  
Gps Positioning ◽  
Positioning Errors

Development of a hybrid expert system: a case study

1992 ◽  
Vol 19 (5) ◽  
pp. 744-750
Author(s):  
K. M. Sakr ◽  
M. U. Hosain
Keyword(s):  
Expert System ◽  
Structural Analysis ◽  
Expert Systems ◽  
Software Packages ◽  
Routine Design ◽  
Design Calculations ◽  
External Program ◽  
Steel Trusses ◽  
Conventional Computer

This paper considers the possible enhancement of the capabilities of an expert system tool. Most of the commercial tools currently available are not particularly suitable for developing expert systems that involve routine design calculations. To overcome this drawback for engineering applications, numerical computations may be carried out by conventional computer programs which can be linked to an expert system tool through its external program interface. This type of expert systems is called a "hybrid" or "coupled" expert system. Practicing engineers will, sooner or later, face the need to use hybrid expert systems. This paper presents a case study which shows how the capabilities of a commercial expert system tool can be enhanced by integrating it with a conventional computer program. The hybrid expert system developed by the authors for illustration purpose can be used for the analysis of plane steel trusses and the evaluation of member design forces. It utilizes an in-house program called “Manager” to integrate two commercial software packages: an expert system tool called KES and a structural analysis package named PFRAME. The capabilities of the hybrid system appear to exceed those of the individual software packages. Key words: knowledge based expert systems, expert system building tools, hybrid expert systems, structural analysis, structural design.

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