http://dspace.ewubd.edu:8080/xmlui/handle/2525/3014 Mon, 06 Apr 2026 13:36:45 GMT 2026-04-06T13:36:45Z http://dspace.ewubd.edu:8080/xmlui/handle/2525/3026 Study on AQM Based Buffer Management in LTE Network Roy, Sauradip; Apon, Maliha Rahman; Kabir, Humyra This study is emerged on AQM based buffer management of LTE system where we have observed the performance of multiple Medium Access Control (MAC) schedulers with TCP traffic with the help of ns3 simulation. We tried to carry out the knowledge of the effect of Active Queue Management (AQM) based congestion control and intra LTE handover. The extended idea of Smart RED (SmRED) to SmRED-i, where packet dropping probability function is different in accordance with the value of i = 2, 3, 4 . . .which is proposed by Effect of AQM-Based RLC Buffer Management on the eNB Scheduling Algorithm in LTE Network has been discussed on this paper. The influence of this method has been studied previously. Herein, a more efficient manner to manage interference has been represented. Based on the results obtained in this report through different ns3 simulations, the options presented in this performance of different schedulers can be enhanced via proper dropping function which can be seen as positive solutions. This thesis submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Information and Communication Engineering of East West University, Dhaka, Bangladesh Sat, 22 Dec 2018 00:00:00 GMT http://dspace.ewubd.edu:8080/xmlui/handle/2525/3026 2018-12-22T00:00:00Z http://dspace.ewubd.edu:8080/xmlui/handle/2525/3025 Classifying different movement of human body based on EEG data using Machine Learning Algorithms. Halder, Antony Polock; Rana, Md. Sohel; Hasan, Md. Mubashir In this paper, we propose an automated computer platform for the purpose of classifying Electroencephalography (EEG) signals associated with left and right hand movements using a hybrid system that uses advanced feature extraction techniques and machine learning algorithms. It is known that EEG represents the brain activity by the electrical voltage fluctuations along the scalp, and Brain-Computer Interface (BCI) is a device that enables the use of the brain‘s neural activity to communicate with others or to control machines, artificial limbs, or robots without direct physical movements. In our research work, we aspired to find the best feature extraction method that enables the differentiation between left and right executed fist movements through various classification algorithms. The EEG dataset used in this research was created and contributed to PhysioNet by the developers of the BCI2000 instrumentation system. Data was preprocessed using the EEGLAB MATLAB toolbox and artifacts removal was done using AAR. Data was epoched on the basis of Event-Related (De) Synchronization (ERD/ERS) and movement-related cortical potentials (MRCP) features. Mu/beta rhythms were isolated for the ERD/ERS analysis and delta rhythms were isolated for the MRCP analysis. The Independent Component Analysis (ICA) spatial filter was applied on related channels for noise reduction and isolation of both artifactually and neutrally generated EEG sources. The final feature vector included the ERD, ERS, and MRCP features in addition to the mean, power and energy of the activations of the resulting Independent Components (ICs) of the epoched feature datasets. The datasets were inputted into two machine- learning algorithms: NFL, Fuzzy Logic and Support Vector Machines (SVMs). Intensive experiments were carried out and optimum classification performances of obtained using NFL, Fuzzy Logic and SVM, respectively. This research shows that this method of feature extraction holds some promise for the classification of various pairs of motor movements, which can be used in a BCI context to mentally control a computer or machine. This thesis submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Information and Communication Engineering of East West University, Dhaka, Bangladesh Sat, 22 Dec 2018 00:00:00 GMT http://dspace.ewubd.edu:8080/xmlui/handle/2525/3025 2018-12-22T00:00:00Z http://dspace.ewubd.edu:8080/xmlui/handle/2525/3024 Core Networking System and NOC of ICX at VOICETEL Ltd. Hossain, Shahriar This report depends on the core system activities of ICX department of VOICETEL Ltd. It is an Interconnection Exchange (ICX) operator. They provide services on routing/switching inter operator domestic voice calls, routing/ switching international calls between ANS and IGW, ENUM, IMEI and number portability services, special code number, emergency number, call center number etc. They have three branches, main office is in Dhaka, others are in Chittagong and Khulna. They are performing their network management successfully. I have worked in their core part of NOC department. For the greater part of the designing understudy it is vital to deal with a professional workplace. I have adapted such a significant number of things, similar to how to deal with the function weight despite a modern domain. In this report I have clarified my work encounters. I have figured out how they deal with their function routine and how they check the association. At the point when association gets flopped then they have shown me how to deal with the circumstance and changed the association with other dynamic system. This thesis submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Information and Communication Engineering of East West University, Dhaka, Bangladesh Wed, 19 Dec 2018 00:00:00 GMT http://dspace.ewubd.edu:8080/xmlui/handle/2525/3024 2018-12-19T00:00:00Z http://dspace.ewubd.edu:8080/xmlui/handle/2525/3023 Study on Performance Analysis of MANET Routing Protocols using NS3 Sultana, Tahmina; Bristy, Nishi Das; Antora, Moostahdi A Mobile Ad-hoc Network (MANET) [1], sometimes called a mobile mesh network, is a self-configuring network of mobile devices connected by wireless links. In other words, a MANET is a collection of communication nodes that wish to communicate with each other. [2] Ad-hoc networks require no centralized administration or fixed network infrastructure such as base stations or access points and can be quickly and inexpensively setup as needed. A MANET is an autonomous group of mobile users that communicate over reasonably slow wireless links. The network topology vary rapidly and unpredictably over time because the nodes are mobile. MANET is kind of wireless Ad -hoc network, is a self-configuring network of mobile routers connected by wireless links the union of which forms an arbitrary topology. The earlier MANETs are called “Packet radio networks” and were sponsored by DARPA in the earlier 1970’s. [2] There are several ad hoc routing protocols that propose solutions for routing within a mobile ad hoc network. This paper compares common reactive and proactive routing protocols such as Ad hoc on-demand distance vector (AODV), Dynamic Source Routing (DSR), Optimized Link State Routing (OLSR) and Destination-Sequenced Distance-Vector (DSDV) by using a simulation platform to evaluate the performances. This thesis submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Information and Communication Engineering of East West University, Dhaka, Bangladesh Sat, 22 Dec 2018 00:00:00 GMT http://dspace.ewubd.edu:8080/xmlui/handle/2525/3023 2018-12-22T00:00:00Z