A statistical model for the analysis of customer satisfaction: Some theoretical and simulation results

1998 ◽  
Vol 9 (7) ◽  
pp. 599-609 ◽  
Author(s):  
Angelo Zanella
Keyword(s):  
Customer Satisfaction ◽  
Statistical Model ◽  
Simulation Results

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 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 Analysis of Reliability Indexes in Air and Ground Distribution Networks (Case Study: Bakhtar)

2019 ◽  
Vol 9 (4) ◽  
pp. 296-306
Author(s):  
Seyed Morteza Moghim ◽  
Alireza Ashrafi Noosh Abadi ◽  
Mohammadreza Mehrara ◽  
Kobra Fathollah Zadeh ◽  
Fatemeh Eftekhari ◽  
...  
Keyword(s):  
Customer Satisfaction ◽  
Network Management ◽  
Power Distribution ◽  
Distribution Networks ◽  
Short Term ◽  
Power Distribution Networks ◽  
Electric Company ◽  
Simulation Results ◽  
Electric Distribution

With respect to power distribution networks, which includes two types of air and ground networks; it is worth noting that the use of the air networks is more economical and therefore dominates the existing air networks. In this paper, the authors have worked on the reliability indexes changes for a month period. As well, the paper’s aim is to make a strategy in short-term (monthly) to network management in order to alleviate cutoff number and time, ENS, increasing customer satisfaction from electric distribution companies and comparing the performance of air and ground networks. The paper was done based on a case study sample substation of a network in Bakhtar regional electric company, Iran. Also, simulation results have obtained by CYME PSAF.

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.

scholarly journals The Effect of Service Quality on T-Cash Customer Satisfaction using System Dynamics Framework

2019 ◽  
Vol 5 (1) ◽  
pp. 76
Author(s):  
Dhyna Octabriyantiningtyas ◽  
Erma Suryani
Keyword(s):  
Customer Satisfaction ◽  
Service Quality ◽  
System Dynamics ◽  
Clinical Studies ◽  
Error Variance ◽  
Quality Of Services ◽  
User Friendliness ◽  
The Future ◽  
Simulation Results

Background: Every year, the number of T-Cash users is increasing significantly. However, the increase is not in sync with the number of T-Cash transactions. In this year, it was noted that active T-Cash users were only 35%. Some clinical studies have established an assessment of the quality of services, there are several dimensions assessed according to the topic of research. The dimensions of service quality used in this study are dimensions of efficiency, reliability, responsiveness, privacy, and security.Objective: This study aims to build general models and simulations in increasing customer satisfaction with the quality of T-Cash services and produce the best scenarios that can be used by policymakers in increasing customer satisfaction.Methods: System dynamics framework is utilized for the development of the model and scenarios. Because by using a system dynamics framework can predict service quality sometime in the future so that it can produce policies for the company.Results: The simulation results are considered valid because they produce E1 values of 3% (E1 valid when E1 ≤ 5%) and E2 of 7% (E2 valid when E2 ≤ 30%). E1 is mean comparison and E2 is error variance. Based on these 2 scenarios, a policy can be taken that scenario 1 significantly increases customer satisfaction compared to scenario 2.Conclusion: Based on the simulation that has been done, it can be concluded that the dimensions of responsiveness, privacy, reliability, security, and efficiency have an effect on improving service quality. On the scenario 1, it can be concluded that with the addition of the user friendliness dimension, the service quality will experience a significant increase over the next 5 years. 

A Customer-Oriented Task Scheduling for Heterogeneous Multi-Cloud Environment

2016 ◽  
Vol 6 (4) ◽  
pp. 1-17 ◽  
Author(s):  
Sohan Kumar Pande ◽  
Sanjaya Kumar Panda ◽  
Satyabrata Das
Keyword(s):  
Customer Satisfaction ◽  
Task Scheduling ◽  
Scheduling Algorithm ◽  
Cloud Environment ◽  
Computing Systems ◽  
Customer Expectation ◽  
Task Scheduling Algorithm ◽  
Np Complete ◽  
Simulation Results ◽  
Multi Cloud

Task scheduling is widely studied in various environments such as cluster, grid and cloud computing systems. Moreover, it is NP-Complete as the optimization criteria is to minimize the overall processing time of all the tasks (i.e., makespan). However, minimization of makespan does not equate to customer satisfaction. In this paper, the authors propose a customer-oriented task scheduling algorithm for heterogeneous multi-cloud environment. The basic idea of this algorithm is to assign a suitable task for each cloud which takes minimum execution time. Then it balances the makespan by inserting as much as tasks into the idle slots of each cloud. As a result, the customers will get better services in minimum time. They simulate the proposed algorithm in a virtualized environment and compare the simulation results with a well-known algorithm, called cloud min-min scheduling. The results show the superiority of the proposed algorithm in terms of customer satisfaction and surplus customer expectation. The authors validate the results using two statistical techniques, namely T-test and ANOVA.

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