7 research outputs found
Comparison between artificial neural network and non-linear auto regressive moving average (NARMA) models for internet traffic / Muhammad Naqiuddin Sahrani
Get PDFWith the rapid development of technology todays, the development of computer and network communication technology also no exceptions change. Due to this development, most applications are accessible internet network. As the result, most people are more comfortable to do their daily activity or task using internet because it more easily to done without moving from one place. As increasing of online user, other problems also have been raised together such as network traffic and might be lead to worsen problem. If this problem occurs, users might have problem to access the server. Predicting internet traffic is one of the solutions that can help to overcome this problem. Countermeasures steps can be taken before any problems occur and can give good quality services to the customers. There are many studies that already done before which the main idea is to predict internet traffic. The differences between these studies are their methods to approach this problem. Most of their study based on Artificial Neural Network and combined with other methods.0 Any changes in network traffic can be detected and can analyses steps can be done to detect the causes of die changes. This study is to approach main problems which to predict internet traffic more effectively using Non-Linear Auto Regressive Moving Average (NARMA) Model. This study will compare two models which are artificial neural network and polynomial of NARMA model. The performance of those NARMA model will be evaluated by using model fitting and model validation tests
Last throughput and quality-of-service aware (LTQA) scheduling algorithm in long term evolution (LTE) femtocell network / Muhammad Naqiuddin Sahrani
Get PDFThe growing demands toward the indoor LTE networks has provide new challenges to the operators where Quality of Experience (QoE) as perceived by the end user needs to be provisioned. There are several shortcomings that need to be overcome such as the network signal from eNodeB that cannot fully penetrates the building. Moreover, the increasing number of users inside the building also degrades the network performance. One of the solutions is by deploying femtocell where it can help to improve the performance of the eNodeB in terms of capacity and signal. This thesis proposed an algorithm, namely, Last Throughput and Quality-Of-Service Aware (LTQA) that helps to improve the throughput performance for Non-Real -Time (NRT) service and allocate the resources fairly among the users in the macrocell and femtocell network. The LTQA algorithm works by comparing the previous and current throughput in the frequency domain scheduler to determine the metric to be used in order to choose the suitable flows to be allocated. A non-sharing type of resource allocation is deployed in order to avoid interference when allocating the resources among the macrocell and the femtocells user’s using the ratio of 1:1. To gauge the efficacy of the LTQA algorithm, several scheduling algorithms, namely, Proportional Fairness (PF), Priority Set Scheduler (PSS), Blind Equal Throughput (BET), Maximum Throughput (MT) and Channel and QoS Aware (CQA) is compared against LTQA. The simulation of the scheduling algorithm was conducted using NS-3 and the performance of these packet scheduling algorithms was evaluated based on the performance metrics of throughput, delay, PLR and fairness for the VoIP, video and FTP applications. It can be concluded that LTQA scheduler outperformed the other algorithms as it could achieve 80.89% and 85.28% throughput improvement, 49.9% and 51.01% decrease in PLR for the NRT traffic in the femtocell and macrocell networks respectively. In terms of fairness, the algorithm could accomplish up to 8.97% and 14.14% increase for the femtocell and macrocell network respectively using the Jain’s Fairness index. Thus, it can be concluded that LTQA algorithm is the best candidate that could ensure fairness to the user in the multitier network environment
Comparison between artificial neural network and Non-linear Auto Regressive Moving Average (NARMA) models for internet traffic / Muhammad Naqiuddin Sahrani
Get PDFThis paper compare the performance of Artificial Neural Network with Non-Linear Auto Regressive Moving Average (NARMA) models by predicting internet traffic The ANN models that used in this paper was Non-Linear Auto Regressive (NAR) model where this model was train to predict the internet traffic The NARMA model result was obtained by combine the result of NAR and Moving Average (MA) models where the result of MA model obtain by predicting the residual of NAR model. The performance of both models was evaluated by using model fitting and model validation tests. NARMA models show better results in internet forecasting
Performance analysis of packet scheduling algorithm for Femtocell-Macrocell scenario in LTE network
No full textThe increasing number of users has led to various challenging issues especially when providing coverage to the users in the building. The indoor coverage deteriorates since the signal cannot pass through the wall completely. The coverage signal will become weaker and affect the Quality of Service to the customers. Operators have tried to overcome this problem by providing small cells (femtocells) inside the building. In this paper, we have investigated the performance of packet scheduling algorithmsProportional Fairness (PF), Round Robin (RR), Priority Set (PSS), Blind Equal Throughput (BET) and Maximum Throughput (MT) in the LTE environment where a dual stripe block type apartment is included in the network topology. Each apartment is assumed to have two femtocells where each cell is serving five customers. Meanwhile, the number of users in the Macrocell is varied between 50 to 200. Three types of services are delivered during the simulation which are VoIP, video and FTP. The simulations results are presented in the terms of throughput and delay. It can be concluded that PF and RR algorithms are the most compatible to be deployed in the Macrocell-Femtocell environment
Performance analysis of packet scheduling algorithm for femtocell-macrocell scenario in LTE network / Muhammad Naqiuddin Sahrani, Darmawaty Mohd Ali and Azlina Idris
Get PDFThe increasing number of users has led to various challenging issues especially when providing coverage to the users in the building. The indoor coverage deteriorates since the signal cannot pass through the wall completely. The coverage signal will become weaker and affect the Quality of Service to the customers. Operators have tried to overcome this problem by providing small cells (femtocells) inside the building. In this paper, we have investigated the performance of packet scheduling algorithms; Proportional Fairness (PF), Round Robin (RR), Priority Set (PSS), Blind Equal Throughput (BET) and Maximum Throughput (MT) in the LTE environment where a dual stripe block type apartment is included in the network topology. Each apartment is assumed to have two femtocells where each cell is serving five customers. Meanwhile, the number of users in the Macrocell is varied between 50 to 200. Three types of services are delivered during the simulation which are VoIP, video and FTP. The simulations results are presented in the terms of throughput and delay. It can be concluded that PF and RR algorithms are the most compatible to be deployed in the Macrocell-Femtocell environment
Norhaz Bina Sdn Bhd / Muhammad Naqiuddin Abd Rahman
Get PDFIndustrial training refers to expose students to the real-life experiences of being an engineer and to get them involved in Civil Engineering projects. Norhaz Bina Sdn. Bhd. (NBSB) is chosen because it is an offer construction services which their scope of works are related with the syllabus of Civil Engineering course.
I have been exposed to site surrounding since they placed me at their site construction for me to experience the life as a site engineer and familiarize with the site and learnt how engineer is responsible to ensure the progression of the project. At site, I have been taught by Mr Hamizan who is a contractor, on how to carried out inspection before any decision being make to avoid any problem occur.
A request of inspection form is a form where it is used when inspection of work is being carried out. This form is a detail of the inspection including works to be inspected,
location, description of work and further action. I had learnt how to inspect work that have been done by the site engineer when he conducts any inspection of works and observed what action and method to be used to overcome the problem. A request of information form is a form that will be sent to respective person such as architect and consultant to get detailed information regarding any issue.
During industrial training, the author is responsible to check and update the progression work of structural and architectural work mainly. The author had been taught on
how to inspect the defect after the area had been cast and given a task to prepare a report regarding her findings about the defects including the pictures taken
