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A Multi-Layer Perceptron Approach for Customer Churn Prediction
Mohammad Ridwan Ismail,Mohd Khalid Awang,M Nordin A Rahman,Mokhairi Makhtar 보안공학연구지원센터 2015 International Journal of Multimedia and Ubiquitous Vol.10 No.7
Nowadays, the telecommunication industries are facing substantial competition among the providers in order to capture new customers. Many providers have faced a loss of profitability due to the existing customers migrating to other providers. Customer retention program is one of the main strategies adopted in order to keep customers loyal to their provider. However, it requires a high cost and therefore the best strategy that companies could practice is to focus on identifying the customers that have the potential to churn at an early stage. The limited amount of research on investigating customer churn using machine learning techniques has lead this research to explore the potential of an artificial neural network to improve customer churn prediction. The research proposes Multilayer Perceptron (MLP) neural network approach to predict customer churn in one of the leading Malaysian’s telecommunication companies. The results are compared against the most popular churn prediction techniques such as Multiple Regression Analysis and Logistic Regression Analysis. The result has proven the supremacy of neural network (91.28% of prediction accuracy) over the statistical models in prediction tasks. Overall, the findings suggest that a neural network learning algorithm could offer a viable alternative to statistical predictive approaches in customer churn prediction.
( Wasan Kadhim Saad ),( Mahamod Ismail ),( Rosdiadee Nordin ),( Ayman A. El-saleh ) 한국인터넷정보학회 2013 KSII Transactions on Internet and Information Syst Vol.7 No.8
For the purpose of enhancing the spectrum efficiency, cognitive radio (CR) technology has been recently proposed as a promising dynamic spectrum allocation paradigm. In CR, spectrum sensing is the key capability of secondary users in a cognitive radio network that aims for reducing the probability of harmful interference with primary users. However, the individual CRs might not be able to carry out reliable detection of the presence of a primary radio due to the impact of channel fading or shadowing. This paper studies the cooperative spectrum sensing scheme as means of optimizing the sensing performance in AWGN and Rayleigh channels. Results generated from simulation provide evidence of the impact of channel condition on the complementary receiver operating characteristic (ROC). Based on the results, it was found that with constant local SNRs at the secondary users, the probability of missed detection (P<sub>m</sub>) of cooperative spectrum sensing in a cognitive radio network, calculated using a closed form expression, can be significantly minimized. Thus, the paper illustrates that improvement of the detection performance of the CR network can be achieved by establishing a centralized cooperation among neighboring cognitive radio users. Finally, verification of the validity of the fusion schemes utilized for combining the individual CR decisions is provided.
Fast Networks as a Candidate for LTE-Advanced Networks
Miyim, A.M.,Mahamod Ismail,Rosdiadee Nordin 한국산학기술학회 2013 SmartCR Vol.3 No.2
WiMAX, a technology that is based on the IEEE 802.16 standard air interface, is said to be a potential candidate for next generation (4G) wireless mobile systems. For the system to meet the requirements of LTE-Advanced/IMT-Advanced, it is expected to provide better cell coverage, improved performance and capacity, reduced latency, advanced mobility mechanisms, increasing peak data rates, and most of all to provide quality of service while integrating well with the complex nature of the entire network. This paper therefore, attempts to explain key parameters of the mobile WiMAX technology and developmental stages that make it the future 4G network structure. The focus is on the mobile WiMAX (IEEE 802.16m) specifications, salient features of layer 1 (PHY layer) and layer 2 (data link layer), with emphasis on the MAC sub-layer of the internet layer protocol stack, QoS and scheduler.
Dynamic Fractional Frequency Reuse based on an Improved Water-Filling for Network MIMO
( Noor Shahida M. K ),( Rosdiadee Nordin ),( Mahamod Ismail ) 한국인터넷정보학회 2016 KSII Transactions on Internet and Information Syst Vol.10 No.5
In Long Term Evolution-Advanced (LTE-A) systems, Inter-cell Interference (ICI) is a prominent limiting factor that affects the performance of the systems, especially at the cell edges. Based on the literature, Fractional Frequency Reuse (FFR) methods are known as efficient interference management techniques. In this report, the proposed Dynamic Fractional Frequency Reuse (DFFR) technique improved the capacity and cell edge coverage performance by 70% compared to the Fractional Frequency Reuse (FFR) technique. In this study, an improved power allocation method was adopted into the DFFR technique to reach the goal of not only reducing the ICI mitigation at the cell edges, but also improving the overall capacity of the LTE-A systems. Hence, an improved water-filling algorithm was proposed, and its performance was compared with that of other methods that were considered. Through the simulation results and comparisons with other frequency reuse techniques, it was shown that the proposed method significantly improved the performance of the cell edge throughput by 42%, the capacity by 75%, and the coverage by 80%. Based on the analysis and numerical expressions, it was concluded that the proposed DFFR method provides significant performance improvements, especially for cell edge users.
( Omar B. Abdul-ghafoor ),( Mahamod Ismail ),( Rosdiadee Nordin ),( Musbah M. R. Shaat ) 한국인터넷정보학회 2014 KSII Transactions on Internet and Information Syst Vol.8 No.11
In this tutorial, we integrate the concept of cognitive radio technology into game theory and supermarket game theory to address the problem of resource allocation in multiuser multicarrier cognitive radio networks. In addition, multiuser multicarrier transmission technique is chosen as a candidate to study the resource allocation problem via game and supermarket game theory. This tutorial also includes various definitions, scenarios and examples related to (i) game theory (including both non-cooperative and cooperative games), (ii) supermarket game theory (including pricing, auction theory and oligopoly markets), and (iii) resource allocation in multicarrier techniques. Thus, interested readers can better understand the main tools that allow them to model the resource allocation problem in multicarrier networks via game and supermarket game theory. In this tutorial article, we first review the most fundamental concepts and architectures of CRNs and subsequently introduce the concepts of game theory, supermarket game theory and common solution to game models such as the Nash equilibrium and the Nash bargaining solution. Finally, a list of related studies is highlighted and compared in this tutorial.
( Omar B. Abdul-ghafoor ),( Mahamod Ismail ),( Rosdiadee Nordin ),( Ayman Abd El-saleh ) 한국인터넷정보학회 2013 KSII Transactions on Internet and Information Syst Vol.7 No.12
The traditional approach of fixed spectrum allocation to licensed networks has resulted in spectrum underutilisation. Cognitive radio technology is envisioned as a promising solution that can be used to resolve the ineffectiveness of the fixed spectrum allocation policy by accessing the underutilised spectrum of existing technologies opportunistically. The implementation of cognitive radio networks (CRNs) faces distinct challenges due to the fact that two systems (i.e., cognitive radio (CR) and primary users (PUs)) with conflicting interests interact with each other. Specially, in self-organised systems such as ad-hoc CRNs (AHCRNs), the coordination of spectrum access introduces challenges to researchers due to rapid utilisation changes in the available spectrum, as well as the multi-hop nature of ad-hoc networks, which creates additional challenges in the analysis of resource allocation (e.g., power control, channel and rate allocation). Instead, game theory has been adopted as a powerful mathematical tool in analysing and modelling the interaction processes of AHCRNs. In this survey, we first review the most fundamental concepts and architectures of CRNs and AHCRNs. We then introduce the concepts of game theory, utility function, Nash equilibrium and pricing techniques. Finally, we survey the recent literature on the game theoretic analysis of AHCRNs, highlighting its applicability to the physical layer PHY, the MAC layer and the network layer.
Faten Ermala Che Othman,Norhaniza Yusof,Hasrinah Hasbullah,Juhana Jaafar,Ahmad Fauzi Ismail,Norfadhilatuladha Abdullah,Nik Abdul Hadi Md Nordin,Farhana Aziz,Wan Norharyati Wan Salleh 한국공업화학회 2017 Journal of Industrial and Engineering Chemistry Vol.51 No.-
PAN-based ACNFs incorporated with MgO was prepared by electrospinning process followed byappropriate activation process. The addition of MgO caused physicochemical changes in term of smallerfiber diameter with an average diameter of 520 nm and higher surface area which is up to four times(1893 m2 g 1) as compared to pristine ACNFs (478 m2 g 1). Moreover, the modified ACNFs possessed abetter adsorption capacity with higher CH4 adsorption of 2.37 mmol g 1. From the experimental data, theadsorption of CH4 by composite ACNFs obeyed the pseudo-second order kinetic model with R2 value up to0.9996 and bestfitted by Freundlich isotherm model.