<?xml version="1.0" encoding="UTF-8"?>
<feed xmlns="http://www.w3.org/2005/Atom" xmlns:dc="http://purl.org/dc/elements/1.1/">
<title>Thesis 2017</title>
<link href="http://dspace.ewubd.edu:8080/handle/123456789/2313" rel="alternate"/>
<subtitle/>
<id>http://dspace.ewubd.edu:8080/handle/123456789/2313</id>
<updated>2026-04-05T23:25:24Z</updated>
<dc:date>2026-04-05T23:25:24Z</dc:date>
<entry>
<title>Feature Extraction and Analysis of Large Biological Data</title>
<link href="http://dspace.ewubd.edu:8080/handle/2525/3030" rel="alternate"/>
<author>
<name>Islam, Md. Imranul</name>
</author>
<author>
<name>Binti, Umme KulSum</name>
</author>
<author>
<name>Kuddus, Md. Abdul</name>
</author>
<id>http://dspace.ewubd.edu:8080/handle/2525/3030</id>
<updated>2019-04-01T10:37:32Z</updated>
<published>2017-04-23T00:00:00Z</published>
<summary type="text">Feature Extraction and Analysis of Large Biological Data
Islam, Md. Imranul; Binti, Umme KulSum; Kuddus, Md. Abdul
DNA sequencing is the process of determining the sequence of nucleotide bases&#13;
(adenine, guanine, cytosine, and thymine) in a piece of DNA that is represented as A, G, C&#13;
and T respectively. Today, with the right equipment and materials, sequencing a short&#13;
piece of DNA is relatively straightforward. The advent of rapid DNA sequencing&#13;
methods has greatly accelerated biological and medical research and discovery.&#13;
Knowledge of DNA has become indispensable for basic biological research, and in&#13;
numerous applied fields such as medical diagnosis, biotechnology, forensic biology,&#13;
virology and biological systematics. The rapid speed of sequencing and searching&#13;
attained with modern DNA pattern searching technology has been instrumental.&#13;
Nowadays analysis of large biological dataset using searching a pattern from DNA needs&#13;
faster and cost effective machines to attain more accurate result within a short time. It is&#13;
so much difficult to handle large set of biological data. Searching a specified pattern is&#13;
now automated and works faster within a short piece of sequenced DNA. In this paper,&#13;
modified version of Clustering and KMP algorithm is used to search a specific pattern in&#13;
a large DNA dataset. Overall process also includes the total number of matching pattern&#13;
found in DNA dataset.
This thesis submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering of East West University, Dhaka, Bangladesh.
</summary>
<dc:date>2017-04-23T00:00:00Z</dc:date>
</entry>
<entry>
<title>Real Time Heart Disease Monitoring System</title>
<link href="http://dspace.ewubd.edu:8080/handle/2525/3013" rel="alternate"/>
<author>
<name>Hosen, Md. Solaiman</name>
</author>
<author>
<name>Mahmud, Hasan</name>
</author>
<id>http://dspace.ewubd.edu:8080/handle/2525/3013</id>
<updated>2019-03-21T10:01:01Z</updated>
<published>2018-05-05T00:00:00Z</published>
<summary type="text">Real Time Heart Disease Monitoring System
Hosen, Md. Solaiman; Mahmud, Hasan
During the recent decade, rapid advancements in healthcare services and low cost wireless communication have greatly assisted in coping with the problem of fewer medical facilities. The main purpose of this research work is to develop a wireless sensor network system that can continuously monitor and detect cardiovascular disease experienced in patients at remote areas. One of the most prevalent healthcare problems today is the poor survival rate of out-of-hospital sudden cardiac arrests. The Objective of this study is to present a Wearable Body Area Network System to continuously capture and sent the ECG signal to patient’s Mobile Phone. By analyzing the signal critical situation will be identified and alert will be sent to doctor, relatives and Ambulance services using data processing algorithm implemented on patient’s mobile phone. A wireless transmission system is also proposed for continuous data transmitting to a server system where a doctor can monitor the patient Electrocardiography (ECG) from a long distance. In this project we developed a wearable ECG device and a real time Brachycardia, tachycardia, and sinus arrhythmia detection based android mobile application. ECG signals from patient’s body is collected by the mini ECG device and sent through a Bluetooth module to Android Mobile Application. On Android application processed data analysis based Pan Tompkins algorithms to detect complex QRS ECG signal and heart beats. From the number of heart rate can be detected abnormalities. Upon completing the system, we tested the system using signals generated by Fluke PS400 and real data. There are three categories of abnormalities under study: Brachycardia, tachycardia, and sinus arrhythmia. Normal heart signal is also included in the test. We have tested this application in real time by collecting the ECG from the patient in stationary as well as simulated data. In both situations the application fulfills requirements of the proposed system.
This thesis submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering of East West University, Dhaka, Bangladesh.
</summary>
<dc:date>2018-05-05T00:00:00Z</dc:date>
</entry>
<entry>
<title>Cost and Energy Efficient Real Time Location Tracking Android Application Framework</title>
<link href="http://dspace.ewubd.edu:8080/handle/2525/3006" rel="alternate"/>
<author>
<name>Sarkar, Saikat Kumar</name>
</author>
<id>http://dspace.ewubd.edu:8080/handle/2525/3006</id>
<updated>2019-03-19T06:13:13Z</updated>
<published>2017-08-08T00:00:00Z</published>
<summary type="text">Cost and Energy Efficient Real Time Location Tracking Android Application Framework
Sarkar, Saikat Kumar
Object tracking systems plays a vital role in monitoring and surveillance systems. The main target of location tracking systems is to provide object locations at real time with exact accuracy using personalized setup and location sensitivities. Shipping industries at first developed tracking systems to determine ship location at a given time. But those location data used to be stored in local storage which is accessible only when the ship is arrived. But with the flow of time and advancement of technology, now we want to know object location at real time. As the local storage cannot provide real time data, we moved to server based systems for real time data parsing. Today we have smart devices like android phones that can detect location data by itself. But to share and monitor those data we need an online system. Here comes the server based location tracking system. But many factors like battery consumption, data load cost, accuracy of data make this system a bit complex. We have tried to solve these problems and improve existing systems by proposing an android based framework that uses cloud services for real time data storage and processing and firebase cloud messaging for device to device communication at real time. We also propose a cost and energy efficient framework for android devices for location tracking and data transmiting.
This thesis submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering of East West University, Dhaka, Bangladesh.
</summary>
<dc:date>2017-08-08T00:00:00Z</dc:date>
</entry>
<entry>
<title>eHut Online Shopping</title>
<link href="http://dspace.ewubd.edu:8080/handle/123456789/2600" rel="alternate"/>
<author>
<name>Gaffar, Abdul</name>
</author>
<id>http://dspace.ewubd.edu:8080/handle/123456789/2600</id>
<updated>2019-03-13T07:43:55Z</updated>
<published>0012-01-01T00:00:00Z</published>
<summary type="text">eHut Online Shopping
Gaffar, Abdul
eHut is an e-commerce web application that allows user to select products to buy from a range of product available for purchasing in the store. It also includes shopping cart and online bill payment facilities for the customers. The site administrator can manage the products and user roles like, subscribers and administrators. Beside its core features, this application provides a better way of creating list of customer email addresses to send promotional emails to the with the information of new products based on their purchasing behavior. This would ensure more effective customer responses by allowing the emails to be sent to appropriate customers.
This thesis submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering of East West University, Dhaka, Bangladesh.
</summary>
<dc:date>0012-01-01T00:00:00Z</dc:date>
</entry>
</feed>
