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<title>Thesis 2018</title>
<link href="http://dspace.ewubd.edu:8080/handle/2525/2755" rel="alternate"/>
<subtitle/>
<id>http://dspace.ewubd.edu:8080/handle/2525/2755</id>
<updated>2026-04-05T23:28:55Z</updated>
<dc:date>2026-04-05T23:28:55Z</dc:date>
<entry>
<title>Simulation Based EIGRP over OSPF Performance Analysis</title>
<link href="http://dspace.ewubd.edu:8080/handle/2525/2769" rel="alternate"/>
<author>
<name>Esha, Rumana Ali</name>
</author>
<author>
<name>Tahura, Sharaban</name>
</author>
<id>http://dspace.ewubd.edu:8080/handle/2525/2769</id>
<updated>2019-03-13T07:44:26Z</updated>
<published>0004-01-01T00:00:00Z</published>
<summary type="text">Simulation Based EIGRP over OSPF Performance Analysis
Esha, Rumana Ali; Tahura, Sharaban
Routing protocol is taking a vital role in the modern communication networks. A routing&#13;
protocol is a protocol which is responsible to determine how routers communicate with each&#13;
other and forward the packets through the optimal path to travel from a source node to a&#13;
destination node. Among the routing protocols, Enhanced Interior Gateway Routing Protocol&#13;
(EIGRP) and Open Shortest Path First (OSPF) are the pre-eminent routing protocols. EIGRP is&#13;
a Cisco proprietary distance-vector protocol based on Diffusing Update Algorithm (DUAL).&#13;
On the other hand, OSPF is a link-state interior gateway protocol based on Dijkstra algorithm&#13;
(Shortest Path First Algorithm). In the context of routing protocol performance, each of them&#13;
has different architecture, adaptability, route processing delays and convergence capabilities.&#13;
This thesis presents a simulation based comparative performance analysis between OSPF and&#13;
EIGRP for real time applications by using OPNET. In order to evaluate&#13;
st, 2nd and&#13;
3rd network model is configured respectively with OSPF, EIGRP and combination of EIGRP&#13;
and OSPF. Our evaluation of proposed routing protocols is performed based on the quantitative&#13;
metrics such as Convergence Time, Jitter, End-to-End delay, Throughput and Packet Loss&#13;
through the simulated network models. The evaluation results show that EIGRP routing&#13;
protocol provides a better performance than OSPF routing protocol and EIGRP_OSPF performs&#13;
better than other two routing protocols for real time applications.
This thesis submitted in partial fulfillment of the requirements for the degree of B.Sc in Electrical and Electronic Engineering of East West University, Dhaka, Bangladesh.
</summary>
<dc:date>0004-01-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>Driver’s Health and Body Movement Monitoring System for Early Accident Detection</title>
<link href="http://dspace.ewubd.edu:8080/handle/2525/2768" rel="alternate"/>
<author>
<name>Ashrafi, Rejowana</name>
</author>
<author>
<name>Fahad, Abdullah-Al</name>
</author>
<author>
<name>Alam, Ahnaph Tahmid</name>
</author>
<id>http://dspace.ewubd.edu:8080/handle/2525/2768</id>
<updated>2019-03-13T07:44:26Z</updated>
<published>0004-01-01T00:00:00Z</published>
<summary type="text">Driver’s Health and Body Movement Monitoring System for Early Accident Detection
Ashrafi, Rejowana; Fahad, Abdullah-Al; Alam, Ahnaph Tahmid
The purpose of this project is to save people from accident. Approximately 1.3 million people die in road crashes each year, on average 3,287 deaths a day [1]. The U.S. National Highway Traffic Safety Administration reported that drowsy and careless driving is the cause of an estimated 40,000 injuries and 1550 deaths in car crashes every year in U.S. [2]. Over 90% of all road fatalities occur in low and middle-income countries, which have less than half of the world's vehicles [1]. Following the report of NCPSRR (The National Committee to Protect Shipping, Roads and Railways) 4,284 people were killed and 9,112 others injured in 3,472 road accidents across Bangladesh in 2017 [3]. Road accident is one of the major problems and the number of accident is increasing day by day. Many of these deaths could be avoided if driver drowsiness and carelessness could be properly monitored and drivers are given early warnings. That is why we are making this project so that we can reduce the number of accidents and save few lives. We collected 14 years data of accidents in Bangladesh and then we analyzed it and found a pattern of the accident. And then we build two devices. One device will monitor the physical condition of the driver and another device will monitor the head movement of the driver. The system will keep monitoring the driver’s condition. If the driver loses his focus from the road or driving, the system will alert and help to get back him focused on the road. The system is carefully designed for low-power consumption and the cost of the device is also low.
This thesis submitted in partial fulfillment of the requirements for the degree of B.Sc in Electrical and Electronic Engineering of East West University, Dhaka, Bangladesh.
</summary>
<dc:date>0004-01-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>Continuous Blood Pressure Estimation using Photoplethysmography</title>
<link href="http://dspace.ewubd.edu:8080/handle/2525/2767" rel="alternate"/>
<author>
<name>Islam, Md.Razanul</name>
</author>
<author>
<name>Tushar, Siful Islam</name>
</author>
<id>http://dspace.ewubd.edu:8080/handle/2525/2767</id>
<updated>2019-03-13T07:44:26Z</updated>
<published>0004-01-01T00:00:00Z</published>
<summary type="text">Continuous Blood Pressure Estimation using Photoplethysmography
Islam, Md.Razanul; Tushar, Siful Islam
Sphygmomanometer and stethoscope are the most widely used noninvasive method to&#13;
measure blood pressure. In this work a novel method to estimate blood pressure using&#13;
photoplethysmogram (PPG) is proposed. The PPG signal data was collected from an online&#13;
patient database, Multiparameter Intelligent Monitoring in Intensive Care (MIMIC),&#13;
developed by MIT lab. The estimated BP using the proposed method is then compared with&#13;
the reference BP acquired from the same database. The estimated results are in good&#13;
agreement with the reference blood pressure values.
This thesis submitted in partial fulfillment of the requirements for the degree of B.Sc in Electrical and Electronic Engineering of East West University, Dhaka, Bangladesh.
</summary>
<dc:date>0004-01-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>Measurement of Heart Rate in Intense Motion Using Photoplethysmographic Signals</title>
<link href="http://dspace.ewubd.edu:8080/handle/2525/2766" rel="alternate"/>
<author>
<name>Alam, S.M. Samiul</name>
</author>
<author>
<name>Kibria, Golam</name>
</author>
<id>http://dspace.ewubd.edu:8080/handle/2525/2766</id>
<updated>2019-03-13T07:44:26Z</updated>
<published>0004-01-01T00:00:00Z</published>
<summary type="text">Measurement of Heart Rate in Intense Motion Using Photoplethysmographic Signals
Alam, S.M. Samiul; Kibria, Golam
Photoplethysmographic signal is one of the most convenient approaches to measure heart rate (HR) when subject is not in motion. But in intense motion, HR estimation becomes difficult as the peaks of motion artifacts are mingled with the peaks of heart rate in photoplethysmographic (PPG) signal. In this work, a data independent algorithm is proposed to measure heart rate from the contaminated PPG signal. The method is verified using the 12 data sets provided by IEEE signal processing cup 2015 [13]. Using this method, an average absolute error of 10.60 beat per minute (BPM) and standard deviation of 8.42 BPM are obtained while subjects are running at an average velocity of 15 km/h. Though the results are not highly satisfactory yet, the algorithm may be considered as a potential candidate for data independent PPG-based HR estimation approach.
This thesis submitted in partial fulfillment of the requirements for the degree of B.Sc in Electrical and Electronic Engineering of East West University, Dhaka, Bangladesh.
</summary>
<dc:date>0004-01-01T00:00:00Z</dc:date>
</entry>
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