Model-Based RAMS: Optimizing Model Development in a Distributed Working Environment

2021 ◽  
Author(s):  
Paddy Conroy ◽  
Ho-Bin Kim ◽  
Khoi Tran ◽  
Daniel Chan
Keyword(s):  
Model Development ◽  
Working Environment ◽  
Model Based ◽  
Optimizing Model

Data Mining Models as a Tool for Churn Reduction and Custom Product Development in Telecommunication Industries

2014 ◽  
pp. 511-537 ◽  
Author(s):  
Goran Klepac
Keyword(s):  
Expert System ◽  
Product Development ◽  
New Product Development ◽  
Customer Value ◽  
Model Development ◽  
Business Case ◽  
Customer Segmentation ◽  
Fuzzy Expert System ◽  
Analysis Model ◽  
Model Based

This chapter represents the business case in the telecommunication company called Veza, in domain of churn prediction and churn mitigation. The churn project was divided into few stages. Due to limited budget and cost optimization, stage one was concentrated on prospective customer value calculation model based on fuzzy expert system. This helps Veza company to find most valuable telecom subscribers. It also helped company to better understand subscriber portfolio structure. Developed fuzzy expert system also helped Veza company in detection of soft churn. Stage two is profiling and customer segmentation based on time series analysis which provided potential predictors for predictive churn model. The central stage was concentrated on developing traditional predictive churn model based on logistic regression. This calculated probability that subscribers will make churn in next few months. The final stage was dedicated to SNA (Social Network Analysis) model development which found out the most valuable customers from the perspective of existing subscriber network. This model gave the answer that subscribers have the greatest influence on other subscribers in a way what is dangerous if they leave Veza company because they will motivate other subscribers to do the same thing. All three stages made complete churn detection/mitigation solution which take into consideration past behaviour of subscribers, their prospective value, and their strength of influence on other subscribers. This project helped Veza company to decrease churn rate and it gave directions for better understanding customer needs and behaviour which were the base for new product development.

Data Mining Models as a Tool for Churn Reduction and Custom Product Development in Telecommunication Industries

2015 ◽  
pp. 559-585
Author(s):  
Goran Klepac
Keyword(s):  
Expert System ◽  
Product Development ◽  
New Product Development ◽  
Customer Value ◽  
Model Development ◽  
Business Case ◽  
Customer Segmentation ◽  
Fuzzy Expert System ◽  
Analysis Model ◽  
Model Based

This chapter represents the business case in the telecommunication company called Veza, in domain of churn prediction and churn mitigation. The churn project was divided into few stages. Due to limited budget and cost optimization, stage one was concentrated on prospective customer value calculation model based on fuzzy expert system. This helps Veza company to find most valuable telecom subscribers. It also helped company to better understand subscriber portfolio structure. Developed fuzzy expert system also helped Veza Company in detection of soft churn. Stage two is profiling and customer segmentation based on time series analysis which provided potential predictors for predictive churn model. The central stage was concentrated on developing traditional predictive churn model based on logistic regression. This calculated probability that subscribers will make churn in next few months. The final stage was dedicated to SNA (Social Network Analysis) model development which found out the most valuable customers from the perspective of existing subscriber network. This model gave the answer that subscribers have the greatest influence on other subscribers in a way what is dangerous if they leave Veza Company because they will motivate other subscribers to do the same thing. All three stages made complete churn detection/mitigation solution which take into consideration past behaviour of subscribers, their prospective value, and their strength of influence on other subscribers. This project helped Veza Company to decrease churn rate and it gave directions for better understanding customer needs and behaviour which were the base for new product development.

Data Mining Models as a Tool for Churn Reduction and Custom Product Development in Telecommunication Industries

2016 ◽  
pp. 430-457
Author(s):  
Goran Klepac
Keyword(s):  
Expert System ◽  
Product Development ◽  
New Product Development ◽  
Customer Value ◽  
Model Development ◽  
Business Case ◽  
Customer Segmentation ◽  
Fuzzy Expert System ◽  
Analysis Model ◽  
Model Based

This chapter represents the business case in the telecommunication company called Veza, in domain of churn prediction and churn mitigation. The churn project was divided into few stages. Due to limited budget and cost optimization, stage one was concentrated on prospective customer value calculation model based on fuzzy expert system. This helps Veza company to find most valuable telecom subscribers. It also helped company to better understand subscriber portfolio structure. Developed fuzzy expert system also helped Veza company in detection of soft churn. Stage two is profiling and customer segmentation based on time series analysis which provided potential predictors for predictive churn model. The central stage was concentrated on developing traditional predictive churn model based on logistic regression. This calculated probability that subscribers will make churn in next few months. The final stage was dedicated to SNA (Social Network Analysis) model development which found out the most valuable customers from the perspective of existing subscriber network. This model gave the answer that subscribers have the greatest influence on other subscribers in a way what is dangerous if they leave Veza company because they will motivate other subscribers to do the same thing. All three stages made complete churn detection/mitigation solution which take into consideration past behaviour of subscribers, their prospective value, and their strength of influence on other subscribers. This project helped Veza company to decrease churn rate and it gave directions for better understanding customer needs and behaviour which were the base for new product development.

scholarly journals Development and implementation of systematic model-development strategy using model-based experimental design

2019 ◽  
Vol 146 ◽  
pp. 290-310
Author(s):  
Zhengkun Jiang ◽  
Jean-François Portha ◽  
Jean-Marc Commenge ◽  
-->Laurent Falk
Keyword(s):  
Experimental Design ◽  
Development Strategy ◽  
Model Development ◽  
Model Based

scholarly journals Procurement Selection Model: Development of a Conceptual Model Based on Transaction Costs

2014 ◽  
Vol 2 (2) ◽  
pp. 56 ◽  
Author(s):  
Mohammed A Rajeh ◽  
John Tookey ◽  
James Rotimi
Keyword(s):  
Transaction Costs ◽  
Construction Projects ◽  
Negative Impact ◽  
Selection Process ◽  
Model Development ◽  
Evaluation Criteria ◽  
Analytical Form ◽  
Model Based ◽  
Suitable Combination ◽  
Selection Of

Procurement is a major improvement area and a crucial element contributing to project success, and the selection of an optimal procurement system is an important and difficult step in project execution. The criteria for choosing suitable procurement methods are based on client’s objectives and priorities, and influenced by project constraints. The procurement path determination chart has largely dominated research in procurement selection process in construction. Eight factors need to be considered by the client when developing procurement selection criteria. At the procurement strategy the focus should be on factors such as cost, quality, and time, while at the procurement route the consideration should focus on complexity, certainty, risk, responsibility, and degree of control by the client. However, including certain criteria and ignoring the magnitude of transaction costs (TCs) associated with uncertainties in the transaction environment simplifies this process. This study addresses this shortcoming by combining evaluation criteria with TCs incurred because of external and internal environmental uncertainties in a theoretical model on procurement selection. This is achieved by developing a conceptual framework model based on TCs. Uncertainties in the transaction environment have a positive or negative impact on the magnitude of TCs such as information, procurement, administration, and enforcement. The model represents an analytical form of a suitable combination of factors influencing procurement systems, which guide procurement decisions. The model will increase understanding of how efficient procurement selection of construction projects can be achieved through appropriate procurement procedures, which could positively impact project performance.Keywords: Construction, Procurement systems, Transaction costs

scholarly journals A Word Cloud Model based on Hate Speech in an Online Social Media Environment

2021 ◽  
Vol 18 (2(Suppl.)) ◽  
pp. 0937
Author(s):  
Valentina Ibrahim ◽  
Juhaid Abu Bakar ◽  
Nor Hazlyna Harun ◽  
Alaa Fareed Abdulateef
Keyword(s):  
Social Media ◽  
Hate Speech ◽  
Cloud Model ◽  
Model Development ◽  
Text Documents ◽  
Media Environment ◽  
Word Cloud ◽  
Model Based ◽  
Online Social Media ◽  
Word Clouds

Social media is known as detectors platform that are used to measure the activities of the users in the real world. However, the huge and unfiltered feed of messages posted on social media trigger social warnings, particularly when these messages contain hate speech towards specific individual or community. The negative effect of these messages on individuals or the society at large is of great concern to governments and non-governmental organizations. Word clouds provide a simple and efficient means of visually transferring the most common words from text documents. This research aims to develop a word cloud model based on hateful words on online social media environment such as Google News. Several steps are involved including data acquisition and pre-processing, feature extraction, model development, visualization and viewing of word cloud model result. The results present an image in a series of text describing the top words. This model can be considered as a simple way to exchange high-level information without overloading the user's details.

scholarly journals Epistemology of Arabic Language Learning Technology Development

2021 ◽  
Vol 13 (1) ◽  
pp. 73-89
Author(s):  
Ahmad Nurcholis ◽  
Nuryani Nuryani ◽  
Heri Efendi ◽  
Syaikhu Ihsan Hidayatullah
Keyword(s):  
Language Learning ◽  
Teaching And Learning ◽  
Technology Development ◽  
Model Development ◽  
Arabic Language ◽  
Learning Model ◽  
Learning Technology ◽  
Learning Tools ◽  
Model Based ◽  
Digital Era

Students' lack of Arabic language skills might be caused by some factors, such as the models and strategies used by teachers, the students’ excitement in learning and their character. This study aimed to research on the epistemology of Arabic learning based on ICT. It was designed to find the Arabic learning model based on ICT. It assumed that integrating various fields of study with ICT, including Arabic language learning, is essential to be developed in this digital era. However, there are obstacles experienced by several schools, especially the teachers, they do not have a specific format for using ICT to integrate both scientific subjects. Descriptive qualitative research was used in this research. The data collection was done through observation, interviewing the teachers and one hundred X grade students, and documentation. The data were analyzed by using the Miles and Huberman technique. The results showed that the design of the ICT-based in Arabic learning model development is “al-hasub al-ittishalî”, this is an innovative Arabic learning model based on ICT. In this model, the materials and other learning tools are designed in a computer program. As stated by E. L. Criswell, computers provide opportunities for students to participate and respond to the student’s activities actively. This model contributes in making the teaching and learning process more effective. With this model, the teacher is expectedly able to become a learning motivator and a mediator to explain some materials to the students. Besides, the use of ICT is a must considering the digital era.

Control-Oriented Model Development and Experimental Validation for a Modern Diesel Engine

2020 ◽  
Author(s):  
Kuo Yang ◽  
Pingen Chen
Keyword(s):  
Diesel Engine ◽  
Diesel Engines ◽  
Model Development ◽  
Engine Performance ◽  
Operating Conditions ◽  
Least Square ◽  
Injection Timing ◽  
Model Based ◽  
Wide Range ◽  
Mean Square Errors

Abstract Modern Diesel engines have become highly complex multi-input multi-output systems. Controls of modern Diesel engines to meet various requirements such as high fuel efficiency and low NOx and particulate matter (PM) emissions, remain a great challenge for automotive control community. While model-based controls have demonstrated significant potentials in achieving high Diesel engine performance. Complete and high-fidelity control-oriented Diesel engine models are much needed as the foundations of model-based control system development. In this study, a semi-physical, mean-value control-oriented model of a turbocharged Diesel engine equipped with high-pressure exhaust gas recirculation (EGR) and variable geometry turbocharger (VGT) is developed and experimentally validated. The static calibration of Diesel engine model is achieved with the least-square optimization methodology using the experimental test data from a physical Diesel engine platform. The normalized root mean square errors (NRMSEs) of the calibration results are in the range of 0.1095 to 0.2582. The cross-validation results demonstrated that the model was capable of accurately capturing the engine torque output and NOx emissions with the control inputs of EGR, VGT and Start of Injection timing (SOI) in wide-range operating conditions.

CubeSat Model-Based Systems Engineering (MBSE) Reference Model - Development and Distribution - Interim Status

2016 ◽  
Author(s):  
David Kaslow ◽  
Bradley Ayres ◽  
Philip T. Cahill ◽  
Michael J. Chonoles ◽  
Laura Hart ◽  
...  
Keyword(s):  
Systems Engineering ◽  
Reference Model ◽  
Model Development ◽  
Model Based ◽  
Model Based Systems Engineering
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