scholarly journals Bandwidth calculation for VoIP networks based on PSTN statistical model

2010 ◽  
Vol 23 (1) ◽  
pp. 73-88 ◽  
Author(s):  
Zvezdan Stojanovic ◽  
Djordje Babic
Keyword(s):  
Statistical Model ◽  
Software Tool ◽  
Traffic Analysis ◽  
Proper Number ◽  
Simulation Results

This paper shows an analysis how to calculate proper bandwidth for VoIP calls after proper dimensioning of PSTN network. For this purpose, we use Erlang B and extended Erlang B formulae. Further, we have developed a software tool, named Bandwidth Calculator to calculate proper number of the circuits on the PSTN side and after that IP bandwidth. Traffic analysis is conducted for VoIP networks considering impact of many factors on the bandwidth such as: voice codecs, samples, VAD, RTP compression. The results obtained by bandwidth calculator are compared to simulation results and data obtained by measurements. .

scholarly journals Brief Communication: Initializing RAMMS with High Resolution LiDAR Data for Avalanche Simulations

2021 ◽  
Author(s):  
James Dillon ◽  
Kevin Hammonds
Keyword(s):  
High Resolution ◽  
Snow Depth ◽  
Software Tool ◽  
Lidar Data ◽  
Mass Movements ◽  
Flow Volume ◽  
Vegetative Cover ◽  
Avalanche Forecasting ◽  
Simulation Results ◽  
Rapid Mass

Abstract. The Rapid Mass Movements Simulator (RAMMS) is an avalanche dynamics software tool for research and forecasting. Since the model’s conception, the sensitivity of inputs on simulation results has been well-documented. Here, we introduce a new method for initializing RAMMS that can be easily operationalized for avalanche forecasting using high resolution LiDAR data. As a demonstration, hypothetical avalanche simulations were performed while incrementally incorporating semi-automated LiDAR-derived values for snow depth, interface topography, and vegetative cover from field-collected LiDAR data. Results show considerable variation in the calculated runout extent, flow volume, pressure, and velocity of the simulated avalanches when incorporating these LiDAR-derived values.

scholarly journals Statistical Model of Normal Contact Stiffness of Fixed Joint Surface during Unloading after First Loading

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Donghua Yin ◽  
Xueliang Zhang ◽  
Yonghui Chen ◽  
Guosheng Lan ◽  
Yanhui Wang ◽  
...  
Keyword(s):  
Statistical Model ◽  
Statistical Method ◽  
Contact Stiffness ◽  
Nonlinear Function ◽  
Joint Surface ◽  
Normal Contact ◽  
Surface Separation ◽  
Normal Contact Stiffness ◽  
Loading And Unloading ◽  
Simulation Results

Based on Kogut and Etsion’s model (KE model), a statistical method is used to establish a model of normal contact stiffness of fixed joint surface during unloading after first loading. Simulation results show that, for the elastoplastic contact, normal contact stiffness of joint surface is the nonlinear function of mean surface separation during loading and unloading and decreases as the separation increases. For different plasticity indexes, the normal contact stiffness of joint surface varies differently following the change of mean surface separation during loading and unloading.

Improved Current Statistic Model and Adaptive Filtering

2005 ◽  
Author(s):  
Hongtao Hu ◽  
Zhongliang Jing
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Statistical Model ◽  
Adaptive Filtering ◽  
Adaptive Algorithm ◽  
Tracking Algorithm ◽  
Unscented Transformation ◽  
Maneuvering Targets ◽  
Statistic Model ◽  
Simulation Results

Current statistical model needs to pre-define the value of maximum accelerations of maneuvering targets. So it may be difficult to meet all maneuvering conditions. In this paper a novel adaptive algorithm for tracking maneuvering targets is proposed. The algorithm is implemented with fuzzy-controlled current statistic model adaptive filtering and unscented transformation. The Monte Carlo simulation results show that this method outperforms the conventional tracking algorithm based on current statistical model.

scholarly journals Study on Maneuvering Target On-axis Tracking Algorithm of Modified Current Statistical Model

2018 ◽  
Vol 160 ◽  
pp. 02008
Author(s):  
Xiong Zhenkai ◽  
Li Fanying ◽  
Zhang Lei
Keyword(s):  
Kalman Filter ◽  
Statistical Model ◽  
Particle Filter ◽  
Density Function ◽  
Unscented Kalman Filter ◽  
Tracking System ◽  
Filter Performance ◽  
Maneuvering Target ◽  
Simulation Results ◽  
Importance Density Function

Aiming at the model adaptability and the filter precision on the maneuvering target on-axis tracking, The paper put forward a filter algorithm based on modified current statistical model. The algorithm can enhance the model adaptability to the weak and non-maneuvering maneuvering target. The method uses Unscented Kalman Filter to obtain the importance density function of each particle, improves the Particle Filter estimation performance.By applying the proposed algorithm to the on-axis tracking system, the simulation results demonstrate that algorithm can effectively improve filter performance and tracking precision.

scholarly journals Numerical modelling of hydrogen release and dispersion

2021 ◽  
Vol 342 ◽  
pp. 01004
Author(s):  
Vlad Mihai Pasculescu ◽  
Marius Cornel Suvar ◽  
Ligia Ioana Tuhut ◽  
Laurentiu Munteanu
Keyword(s):  
Land Use Planning ◽  
High Efficiency ◽  
Atmospheric Dispersion ◽  
Software Tool ◽  
Pressure Vessels ◽  
Hydrogen Release ◽  
Protection Measures ◽  
Accidental Release ◽  
Pressure Tank ◽  
Simulation Results

Hydrogen is the most abundant element on earth, being a low polluting and high efficiency fuel that can be used for various applications, such as power generation, heating or transportation. As a reaction to climate change, authorities are working for determining the most promising applications for hydrogen, one of the best examples of crossborder initiative being the IPCEI (Important Project of Common European Interest) on Hydrogen, under development at EU level. Given the large interest for future uses of hydrogen, special safety measures have to be implemented for avoiding potential accidents. If hydrogen is stored and used under pressure, accidental leaks from pressure vessels may result in fires or explosions. Worldwide, researchers are investigating possible accidents generated by hydrogen leaks. Special attention is granted to the atmospheric dispersion after the release, so that to avoid fires or explosions. The use of consequence modelling software within safety and risk studies has shown its’ utility worldwide. In this paper, there are modelled the consequences of the accidental release and atmospheric dispersion of hydrogen from a pressure tank, using state-of-the-art QRA software. The simulation methodology used in this paper uses the “leak” model for carrying out discharge calculations. This model calculates the release rate and state of the gas after its expansion to atmospheric pressure. Accidental release of hydrogen is modelled by taking into account the process and meteorological conditions and the properties of the release point. Simulation results can be used further for land use planning, or may be used for establishing proper protection measures for surrounding facilities. In this work, we analysed two possible accident scenarios which may occur at an imaginary hydrogen refuelling station, accidents caused by the leaks of the pressure vessel, with diameters of 10 and 20 mm, for a pressure tank filled with hydrogen at 35 MPa / 70 MPa. Process Hazard Analysis Software Tool 8.4 has been used for assessing the effects of the scenarios and for evaluating the hazardous extent around the analysed installation. Accident simulation results have shown that the leak size has an important effect on the flammable/explosive ranges. Also, the jet fire’s influence distance is strongly influenced by the pressure and actual size of the accidental release.

Design and Simulation of Five Fingers Gripper for Dexterous Pick-Up Various of Components

2015 ◽  
Vol 776 ◽  
pp. 325-330
Author(s):  
I. Wayan Widhiada ◽  
Endra Pitowarno ◽  
C.G. Indra Partha ◽  
Yuda A.P. Wayan Reza
Keyword(s):  
Pid Control ◽  
Force Feedback ◽  
Software Tool ◽  
System Response ◽  
Human Hand ◽  
Mechanical Assembly ◽  
Motion Responses ◽  
Response Dynamic ◽  
Signal Error ◽  
Simulation Results

In this paper, the authors describe and demonstrate how a Five fingered gripper can be designed and simulated to provide both gross motion and fine motion to the fingers. Satisfactory motion responses for the finger simulation are achieved. The fine motion including force feedback and the gross motions, which orientate the fingers into their approximate configuration is provided by an advance PID control strategy. The fingers are to be controlled in a manner which mimics the kinematics and dynamics of the five fingers of a human hand. This mimicry is required to design the correct motions necessary to handle engineering components. In order to evaluate the design philosophy and capability of the five fingered gripper, a challenging assembly process has been identified. The five fingered gripper assembly was built using Solidworks software tool, and it’s mechanical assembly representation was established in SimMechanics. The advance PID control is very effectively used to control the trajectory of the fingers. The simulation results have been demonstrated that the radius of finger movement is achieved in stable response. The signal error towards closed less than 1% which it indicates the response dynamic system response is stable.

Behavior of Electric Vehicles Charging and Discharging and Impact on the Grid

2014 ◽  
Vol 556-562 ◽  
pp. 1584-1587
Author(s):  
Shao Jian Song ◽  
Xiao Han Wang
Keyword(s):  
Monte Carlo ◽  
Electric Vehicles ◽  
Large Scale ◽  
Power Grid ◽  
Monte Carlo Algorithm ◽  
Direct Impact ◽  
Proper Number ◽  
Simulation Results ◽  
The Impact ◽  
Day By Day

With the promotion of our country policy about electric vehicles, the development conditions of electric vehicles are improving day by day. However, the application of large-scale electric vehicles will have a direct impact on the power grid. Guilin is taken as an example to analysis the impact of models including uncontrolled charging, controlled charging and controlled charging/discharging model in different scales on the power grid using the Monte Carlo algorithm. The simulation results show that the proper number of electric vehicles involved in the controlled charging/discharging model can effectively achieve the target of peak clipping and valley filling. However, after more than a certain number, it will bring new pressure to the power grid.

Study on Data Fusion Algorithm of TCAS/ADS-B Integrated Surveillance System Based on the Present Statistical Model

2013 ◽  
Vol 427-429 ◽  
pp. 1311-1314
Author(s):  
Ya Jun Xu
Keyword(s):  
Data Fusion ◽  
Statistical Model ◽  
Collision Avoidance ◽  
Surveillance System ◽  
Position Error ◽  
Integrated System ◽  
Fusion Algorithm ◽  
Simulation Results ◽  
Collision Avoidance System ◽  
The Difference

The difference between Traffic Alert and Collision Avoidance System and Automatic Dependent Surveillance Broadcast surveillance principle was compared. A TCAS/ ADS-B integrated surveillance system based on the present statistical model was built. Using the data fusion algorithm, the optimal local track of TCAS and ADS-B ,as well as the optimal fused track of the integrated system were estimated. The simulation results show that the maximum optimal fused estimated position error is 100m, it is certificated that the integrated system can improve track estimates accuracy, improve the surveillance precision of TCAS.

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