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<title>Thesis 2020</title>
<link>http://dspace.ewubd.edu:8080/handle/123456789/3301</link>
<description/>
<pubDate>Sat, 04 Apr 2026 13:24:58 GMT</pubDate>
<dc:date>2026-04-04T13:24:58Z</dc:date>
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<title>Study on Selection of Useful Bacon node in Range Free Localization Algorithm in WSN</title>
<link>http://dspace.ewubd.edu:8080/handle/123456789/3739</link>
<description>Study on Selection of Useful Bacon node in Range Free Localization Algorithm in WSN
Yeasmin, Farzana
Localization is an important part in wireless sensor network and briefly used it in WSN. Because, from it we get the required information to identify current location of sensor node. Now this become an interest field among the researcher. To determine the physical location of a node is known as localization in wireless sensor network. There are large number of small nodes in WSNs. The characteristic of these nodes is that, low energy, limited processing capability, low cost and most important part that they can identify their current location without GPS and manual configuration. They can exchange their information with their neighbor node in ad-hoc fashion. There is different different method to determine the location. For different location different method can give accurate result. Our main concern is to get accurate result. Localization can be challenges for some special scenario such as: fire detection in a big forest. In this paper I try to present a short survey on the localization technique that used in wireless sensor networks (WSNs).
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
</description>
<pubDate>Thu, 17 Sep 2020 00:00:00 GMT</pubDate>
<guid isPermaLink="false">http://dspace.ewubd.edu:8080/handle/123456789/3739</guid>
<dc:date>2020-09-17T00:00:00Z</dc:date>
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<item>
<title>Plant Disease Classification using Deep Learning</title>
<link>http://dspace.ewubd.edu:8080/handle/123456789/3738</link>
<description>Plant Disease Classification using Deep Learning
Ahmed, Radia; Islam, Tariqul; Siam, Mir
In a country like Bangladesh plant disease is a common factor. The timely and accurate diagnosis&#13;
of plant disease plays a very important role in preventing the loss of productivity and&#13;
loss of reduce quality of agricultural product. Till now many Machine learning (ML) models&#13;
have been employed for the detection and classification of plant disease. For advancement&#13;
Deep learning (DL) has also employed in this research area and it has shown a vital impact&#13;
in disease detection accuracy. In this paper we classified ‘15’ species of crops from 20,069&#13;
images. The dataset have been taken from plant village. We have considered here Support&#13;
Vector machine which is a supervised learning algorithm for classification and regression.We&#13;
also used Sequential Model for detection. We have used Train-Test-split model to train the&#13;
dataset and we achieved 92.5% accuracy.
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
</description>
<pubDate>Fri, 26 Jun 2020 00:00:00 GMT</pubDate>
<guid isPermaLink="false">http://dspace.ewubd.edu:8080/handle/123456789/3738</guid>
<dc:date>2020-06-26T00:00:00Z</dc:date>
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<item>
<title>Study on MAC protocols for Wireless Sensor Network (WSN)</title>
<link>http://dspace.ewubd.edu:8080/handle/123456789/3566</link>
<description>Study on MAC protocols for Wireless Sensor Network (WSN)
Sutradhar, Nishi
Wireless Sensor Network(WSN) is the collection of spatial self-explanatory devices or sensor nodes that’s are tiny, cheap, low power and smart sensors which collect information’s from the environment to attain particular application destinations and transfer it through the network to the base station or main location. For these nodes, energy is the most important factor in WSN. Sensor nodes have limited battery power. Short life time of these sensor nodes. For increasing the life time of these nodes have to replace or change the battery. Sensor nodes are dead when they are out of battery. The life time of this node can enhance and can also achieve desired energy efficiency by using a well-designed MAC (Medium Access Control) protocols. The challenge is to improve the system performance and to make network efficient. MAC layer protocols for battery-powered networks and energy harvesting- based networks are discussed and compared. In this survey paper, Various medium-access control (MAC) protocols with different objectives has been described for wireless sensor networks. Then, we describe several MAC protocols for sensor networks. In this article, we first outline the sensor network properties that are crucial for the design of MAC layer protocols. Then, we describe several MAC protocols proposed for sensor networks, emphasizing their strengths and weaknesses. Finally, we point out open research issues with regard to MAC layer design.
This thesis submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Electronics and communication Engineering of East West University, Dhaka, Bangladesh
</description>
<pubDate>Mon, 25 May 2020 00:00:00 GMT</pubDate>
<guid isPermaLink="false">http://dspace.ewubd.edu:8080/handle/123456789/3566</guid>
<dc:date>2020-05-25T00:00:00Z</dc:date>
</item>
<item>
<title>Study on Useful Bacon Node Selection in Range Free Localization Algorithm in WSN</title>
<link>http://dspace.ewubd.edu:8080/handle/123456789/3555</link>
<description>Study on Useful Bacon Node Selection in Range Free Localization Algorithm in WSN
Tumpa, Sadia Khan
Localization is important analysis subject in the area of wireless sensor network (WSN), which gives the required information about different occasion in a region. This paper is a study of localization techniques that proposes an idea to get more accurate distance between sensor nodes and bacon nodes. Wireless sensor network is structured with a huge number of small, less costly sensors which can communicate with each other via exchanging information with neighbors. In our proposed idea I can get more accuracy in determining the position of sensor nodes depending on the hop count information. The accuracy of the localization algorithm has a huge impact on the achievement of protocols that depends on location and other applications like routing. If the transmission path among bacon nodes and sensor nodes is curved, then the distance estimated by hop distance is always not close to Euclidean distance between a pair of sensor nodes. In this study I will offer to avoid those respected bacon nodes whose hop count distance to other bacon nodes is not proportional to the known distance between them.
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
</description>
<pubDate>Thu, 02 Jan 2020 00:00:00 GMT</pubDate>
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<dc:date>2020-01-02T00:00:00Z</dc:date>
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